/* Generated by Cython 0.28.5 */

/* BEGIN: Cython Metadata
{
    "distutils": {
        "depends": [],
        "name": "pydbm.rnn.lstmmodel.conv_lstm_model",
        "sources": [
            "./pydbm/rnn/lstmmodel/conv_lstm_model.pyx"
        ]
    },
    "module_name": "pydbm.rnn.lstmmodel.conv_lstm_model"
}
END: Cython Metadata */

#define PY_SSIZE_T_CLEAN
#include "Python.h"
#ifndef Py_PYTHON_H
    #error Python headers needed to compile C extensions, please install development version of Python.
#elif PY_VERSION_HEX < 0x02060000 || (0x03000000 <= PY_VERSION_HEX && PY_VERSION_HEX < 0x03030000)
    #error Cython requires Python 2.6+ or Python 3.3+.
#else
#define CYTHON_ABI "0_28_5"
#define CYTHON_FUTURE_DIVISION 0
#include <stddef.h>
#ifndef offsetof
  #define offsetof(type, member) ( (size_t) & ((type*)0) -> member )
#endif
#if !defined(WIN32) && !defined(MS_WINDOWS)
  #ifndef __stdcall
    #define __stdcall
  #endif
  #ifndef __cdecl
    #define __cdecl
  #endif
  #ifndef __fastcall
    #define __fastcall
  #endif
#endif
#ifndef DL_IMPORT
  #define DL_IMPORT(t) t
#endif
#ifndef DL_EXPORT
  #define DL_EXPORT(t) t
#endif
#define __PYX_COMMA ,
#ifndef HAVE_LONG_LONG
  #if PY_VERSION_HEX >= 0x02070000
    #define HAVE_LONG_LONG
  #endif
#endif
#ifndef PY_LONG_LONG
  #define PY_LONG_LONG LONG_LONG
#endif
#ifndef Py_HUGE_VAL
  #define Py_HUGE_VAL HUGE_VAL
#endif
#ifdef PYPY_VERSION
  #define CYTHON_COMPILING_IN_PYPY 1
  #define CYTHON_COMPILING_IN_PYSTON 0
  #define CYTHON_COMPILING_IN_CPYTHON 0
  #undef CYTHON_USE_TYPE_SLOTS
  #define CYTHON_USE_TYPE_SLOTS 0
  #undef CYTHON_USE_PYTYPE_LOOKUP
  #define CYTHON_USE_PYTYPE_LOOKUP 0
  #if PY_VERSION_HEX < 0x03050000
    #undef CYTHON_USE_ASYNC_SLOTS
    #define CYTHON_USE_ASYNC_SLOTS 0
  #elif !defined(CYTHON_USE_ASYNC_SLOTS)
    #define CYTHON_USE_ASYNC_SLOTS 1
  #endif
  #undef CYTHON_USE_PYLIST_INTERNALS
  #define CYTHON_USE_PYLIST_INTERNALS 0
  #undef CYTHON_USE_UNICODE_INTERNALS
  #define CYTHON_USE_UNICODE_INTERNALS 0
  #undef CYTHON_USE_UNICODE_WRITER
  #define CYTHON_USE_UNICODE_WRITER 0
  #undef CYTHON_USE_PYLONG_INTERNALS
  #define CYTHON_USE_PYLONG_INTERNALS 0
  #undef CYTHON_AVOID_BORROWED_REFS
  #define CYTHON_AVOID_BORROWED_REFS 1
  #undef CYTHON_ASSUME_SAFE_MACROS
  #define CYTHON_ASSUME_SAFE_MACROS 0
  #undef CYTHON_UNPACK_METHODS
  #define CYTHON_UNPACK_METHODS 0
  #undef CYTHON_FAST_THREAD_STATE
  #define CYTHON_FAST_THREAD_STATE 0
  #undef CYTHON_FAST_PYCALL
  #define CYTHON_FAST_PYCALL 0
  #undef CYTHON_PEP489_MULTI_PHASE_INIT
  #define CYTHON_PEP489_MULTI_PHASE_INIT 0
  #undef CYTHON_USE_TP_FINALIZE
  #define CYTHON_USE_TP_FINALIZE 0
#elif defined(PYSTON_VERSION)
  #define CYTHON_COMPILING_IN_PYPY 0
  #define CYTHON_COMPILING_IN_PYSTON 1
  #define CYTHON_COMPILING_IN_CPYTHON 0
  #ifndef CYTHON_USE_TYPE_SLOTS
    #define CYTHON_USE_TYPE_SLOTS 1
  #endif
  #undef CYTHON_USE_PYTYPE_LOOKUP
  #define CYTHON_USE_PYTYPE_LOOKUP 0
  #undef CYTHON_USE_ASYNC_SLOTS
  #define CYTHON_USE_ASYNC_SLOTS 0
  #undef CYTHON_USE_PYLIST_INTERNALS
  #define CYTHON_USE_PYLIST_INTERNALS 0
  #ifndef CYTHON_USE_UNICODE_INTERNALS
    #define CYTHON_USE_UNICODE_INTERNALS 1
  #endif
  #undef CYTHON_USE_UNICODE_WRITER
  #define CYTHON_USE_UNICODE_WRITER 0
  #undef CYTHON_USE_PYLONG_INTERNALS
  #define CYTHON_USE_PYLONG_INTERNALS 0
  #ifndef CYTHON_AVOID_BORROWED_REFS
    #define CYTHON_AVOID_BORROWED_REFS 0
  #endif
  #ifndef CYTHON_ASSUME_SAFE_MACROS
    #define CYTHON_ASSUME_SAFE_MACROS 1
  #endif
  #ifndef CYTHON_UNPACK_METHODS
    #define CYTHON_UNPACK_METHODS 1
  #endif
  #undef CYTHON_FAST_THREAD_STATE
  #define CYTHON_FAST_THREAD_STATE 0
  #undef CYTHON_FAST_PYCALL
  #define CYTHON_FAST_PYCALL 0
  #undef CYTHON_PEP489_MULTI_PHASE_INIT
  #define CYTHON_PEP489_MULTI_PHASE_INIT 0
  #undef CYTHON_USE_TP_FINALIZE
  #define CYTHON_USE_TP_FINALIZE 0
#else
  #define CYTHON_COMPILING_IN_PYPY 0
  #define CYTHON_COMPILING_IN_PYSTON 0
  #define CYTHON_COMPILING_IN_CPYTHON 1
  #ifndef CYTHON_USE_TYPE_SLOTS
    #define CYTHON_USE_TYPE_SLOTS 1
  #endif
  #if PY_VERSION_HEX < 0x02070000
    #undef CYTHON_USE_PYTYPE_LOOKUP
    #define CYTHON_USE_PYTYPE_LOOKUP 0
  #elif !defined(CYTHON_USE_PYTYPE_LOOKUP)
    #define CYTHON_USE_PYTYPE_LOOKUP 1
  #endif
  #if PY_MAJOR_VERSION < 3
    #undef CYTHON_USE_ASYNC_SLOTS
    #define CYTHON_USE_ASYNC_SLOTS 0
  #elif !defined(CYTHON_USE_ASYNC_SLOTS)
    #define CYTHON_USE_ASYNC_SLOTS 1
  #endif
  #if PY_VERSION_HEX < 0x02070000
    #undef CYTHON_USE_PYLONG_INTERNALS
    #define CYTHON_USE_PYLONG_INTERNALS 0
  #elif !defined(CYTHON_USE_PYLONG_INTERNALS)
    #define CYTHON_USE_PYLONG_INTERNALS 1
  #endif
  #ifndef CYTHON_USE_PYLIST_INTERNALS
    #define CYTHON_USE_PYLIST_INTERNALS 1
  #endif
  #ifndef CYTHON_USE_UNICODE_INTERNALS
    #define CYTHON_USE_UNICODE_INTERNALS 1
  #endif
  #if PY_VERSION_HEX < 0x030300F0
    #undef CYTHON_USE_UNICODE_WRITER
    #define CYTHON_USE_UNICODE_WRITER 0
  #elif !defined(CYTHON_USE_UNICODE_WRITER)
    #define CYTHON_USE_UNICODE_WRITER 1
  #endif
  #ifndef CYTHON_AVOID_BORROWED_REFS
    #define CYTHON_AVOID_BORROWED_REFS 0
  #endif
  #ifndef CYTHON_ASSUME_SAFE_MACROS
    #define CYTHON_ASSUME_SAFE_MACROS 1
  #endif
  #ifndef CYTHON_UNPACK_METHODS
    #define CYTHON_UNPACK_METHODS 1
  #endif
  #ifndef CYTHON_FAST_THREAD_STATE
    #define CYTHON_FAST_THREAD_STATE 1
  #endif
  #ifndef CYTHON_FAST_PYCALL
    #define CYTHON_FAST_PYCALL 1
  #endif
  #ifndef CYTHON_PEP489_MULTI_PHASE_INIT
    #define CYTHON_PEP489_MULTI_PHASE_INIT (0 && PY_VERSION_HEX >= 0x03050000)
  #endif
  #ifndef CYTHON_USE_TP_FINALIZE
    #define CYTHON_USE_TP_FINALIZE (PY_VERSION_HEX >= 0x030400a1)
  #endif
#endif
#if !defined(CYTHON_FAST_PYCCALL)
#define CYTHON_FAST_PYCCALL  (CYTHON_FAST_PYCALL && PY_VERSION_HEX >= 0x030600B1)
#endif
#if CYTHON_USE_PYLONG_INTERNALS
  #include "longintrepr.h"
  #undef SHIFT
  #undef BASE
  #undef MASK
#endif
#ifndef __has_attribute
  #define __has_attribute(x) 0
#endif
#ifndef __has_cpp_attribute
  #define __has_cpp_attribute(x) 0
#endif
#ifndef CYTHON_RESTRICT
  #if defined(__GNUC__)
    #define CYTHON_RESTRICT __restrict__
  #elif defined(_MSC_VER) && _MSC_VER >= 1400
    #define CYTHON_RESTRICT __restrict
  #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
    #define CYTHON_RESTRICT restrict
  #else
    #define CYTHON_RESTRICT
  #endif
#endif
#ifndef CYTHON_UNUSED
# if defined(__GNUC__)
#   if !(defined(__cplusplus)) || (__GNUC__ > 3 || (__GNUC__ == 3 && __GNUC_MINOR__ >= 4))
#     define CYTHON_UNUSED __attribute__ ((__unused__))
#   else
#     define CYTHON_UNUSED
#   endif
# elif defined(__ICC) || (defined(__INTEL_COMPILER) && !defined(_MSC_VER))
#   define CYTHON_UNUSED __attribute__ ((__unused__))
# else
#   define CYTHON_UNUSED
# endif
#endif
#ifndef CYTHON_MAYBE_UNUSED_VAR
#  if defined(__cplusplus)
     template<class T> void CYTHON_MAYBE_UNUSED_VAR( const T& ) { }
#  else
#    define CYTHON_MAYBE_UNUSED_VAR(x) (void)(x)
#  endif
#endif
#ifndef CYTHON_NCP_UNUSED
# if CYTHON_COMPILING_IN_CPYTHON
#  define CYTHON_NCP_UNUSED
# else
#  define CYTHON_NCP_UNUSED CYTHON_UNUSED
# endif
#endif
#define __Pyx_void_to_None(void_result) ((void)(void_result), Py_INCREF(Py_None), Py_None)
#ifdef _MSC_VER
    #ifndef _MSC_STDINT_H_
        #if _MSC_VER < 1300
           typedef unsigned char     uint8_t;
           typedef unsigned int      uint32_t;
        #else
           typedef unsigned __int8   uint8_t;
           typedef unsigned __int32  uint32_t;
        #endif
    #endif
#else
   #include <stdint.h>
#endif
#ifndef CYTHON_FALLTHROUGH
  #if defined(__cplusplus) && __cplusplus >= 201103L
    #if __has_cpp_attribute(fallthrough)
      #define CYTHON_FALLTHROUGH [[fallthrough]]
    #elif __has_cpp_attribute(clang::fallthrough)
      #define CYTHON_FALLTHROUGH [[clang::fallthrough]]
    #elif __has_cpp_attribute(gnu::fallthrough)
      #define CYTHON_FALLTHROUGH [[gnu::fallthrough]]
    #endif
  #endif
  #ifndef CYTHON_FALLTHROUGH
    #if __has_attribute(fallthrough)
      #define CYTHON_FALLTHROUGH __attribute__((fallthrough))
    #else
      #define CYTHON_FALLTHROUGH
    #endif
  #endif
  #if defined(__clang__ ) && defined(__apple_build_version__)
    #if __apple_build_version__ < 7000000
      #undef  CYTHON_FALLTHROUGH
      #define CYTHON_FALLTHROUGH
    #endif
  #endif
#endif

#ifndef CYTHON_INLINE
  #if defined(__clang__)
    #define CYTHON_INLINE __inline__ __attribute__ ((__unused__))
  #elif defined(__GNUC__)
    #define CYTHON_INLINE __inline__
  #elif defined(_MSC_VER)
    #define CYTHON_INLINE __inline
  #elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
    #define CYTHON_INLINE inline
  #else
    #define CYTHON_INLINE
  #endif
#endif

#if CYTHON_COMPILING_IN_PYPY && PY_VERSION_HEX < 0x02070600 && !defined(Py_OptimizeFlag)
  #define Py_OptimizeFlag 0
#endif
#define __PYX_BUILD_PY_SSIZE_T "n"
#define CYTHON_FORMAT_SSIZE_T "z"
#if PY_MAJOR_VERSION < 3
  #define __Pyx_BUILTIN_MODULE_NAME "__builtin__"
  #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
          PyCode_New(a+k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
  #define __Pyx_DefaultClassType PyClass_Type
#else
  #define __Pyx_BUILTIN_MODULE_NAME "builtins"
  #define __Pyx_PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)\
          PyCode_New(a, k, l, s, f, code, c, n, v, fv, cell, fn, name, fline, lnos)
  #define __Pyx_DefaultClassType PyType_Type
#endif
#ifndef Py_TPFLAGS_CHECKTYPES
  #define Py_TPFLAGS_CHECKTYPES 0
#endif
#ifndef Py_TPFLAGS_HAVE_INDEX
  #define Py_TPFLAGS_HAVE_INDEX 0
#endif
#ifndef Py_TPFLAGS_HAVE_NEWBUFFER
  #define Py_TPFLAGS_HAVE_NEWBUFFER 0
#endif
#ifndef Py_TPFLAGS_HAVE_FINALIZE
  #define Py_TPFLAGS_HAVE_FINALIZE 0
#endif
#if PY_VERSION_HEX <= 0x030700A3 || !defined(METH_FASTCALL)
  #ifndef METH_FASTCALL
     #define METH_FASTCALL 0x80
  #endif
  typedef PyObject *(*__Pyx_PyCFunctionFast) (PyObject *self, PyObject *const *args, Py_ssize_t nargs);
  typedef PyObject *(*__Pyx_PyCFunctionFastWithKeywords) (PyObject *self, PyObject *const *args,
                                                          Py_ssize_t nargs, PyObject *kwnames);
#else
  #define __Pyx_PyCFunctionFast _PyCFunctionFast
  #define __Pyx_PyCFunctionFastWithKeywords _PyCFunctionFastWithKeywords
#endif
#if CYTHON_FAST_PYCCALL
#define __Pyx_PyFastCFunction_Check(func)\
    ((PyCFunction_Check(func) && (METH_FASTCALL == (PyCFunction_GET_FLAGS(func) & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS)))))
#else
#define __Pyx_PyFastCFunction_Check(func) 0
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Malloc)
  #define PyObject_Malloc(s)   PyMem_Malloc(s)
  #define PyObject_Free(p)     PyMem_Free(p)
  #define PyObject_Realloc(p)  PyMem_Realloc(p)
#endif
#if CYTHON_COMPILING_IN_PYSTON
  #define __Pyx_PyCode_HasFreeVars(co)  PyCode_HasFreeVars(co)
  #define __Pyx_PyFrame_SetLineNumber(frame, lineno) PyFrame_SetLineNumber(frame, lineno)
#else
  #define __Pyx_PyCode_HasFreeVars(co)  (PyCode_GetNumFree(co) > 0)
  #define __Pyx_PyFrame_SetLineNumber(frame, lineno)  (frame)->f_lineno = (lineno)
#endif
#if !CYTHON_FAST_THREAD_STATE || PY_VERSION_HEX < 0x02070000
  #define __Pyx_PyThreadState_Current PyThreadState_GET()
#elif PY_VERSION_HEX >= 0x03060000
  #define __Pyx_PyThreadState_Current _PyThreadState_UncheckedGet()
#elif PY_VERSION_HEX >= 0x03000000
  #define __Pyx_PyThreadState_Current PyThreadState_GET()
#else
  #define __Pyx_PyThreadState_Current _PyThreadState_Current
#endif
#if PY_VERSION_HEX < 0x030700A2 && !defined(PyThread_tss_create) && !defined(Py_tss_NEEDS_INIT)
#include "pythread.h"
#define Py_tss_NEEDS_INIT 0
typedef int Py_tss_t;
static CYTHON_INLINE int PyThread_tss_create(Py_tss_t *key) {
  *key = PyThread_create_key();
  return 0; // PyThread_create_key reports success always
}
static CYTHON_INLINE Py_tss_t * PyThread_tss_alloc(void) {
  Py_tss_t *key = (Py_tss_t *)PyObject_Malloc(sizeof(Py_tss_t));
  *key = Py_tss_NEEDS_INIT;
  return key;
}
static CYTHON_INLINE void PyThread_tss_free(Py_tss_t *key) {
  PyObject_Free(key);
}
static CYTHON_INLINE int PyThread_tss_is_created(Py_tss_t *key) {
  return *key != Py_tss_NEEDS_INIT;
}
static CYTHON_INLINE void PyThread_tss_delete(Py_tss_t *key) {
  PyThread_delete_key(*key);
  *key = Py_tss_NEEDS_INIT;
}
static CYTHON_INLINE int PyThread_tss_set(Py_tss_t *key, void *value) {
  return PyThread_set_key_value(*key, value);
}
static CYTHON_INLINE void * PyThread_tss_get(Py_tss_t *key) {
  return PyThread_get_key_value(*key);
}
#endif // TSS (Thread Specific Storage) API
#if CYTHON_COMPILING_IN_CPYTHON || defined(_PyDict_NewPresized)
#define __Pyx_PyDict_NewPresized(n)  ((n <= 8) ? PyDict_New() : _PyDict_NewPresized(n))
#else
#define __Pyx_PyDict_NewPresized(n)  PyDict_New()
#endif
#if PY_MAJOR_VERSION >= 3 || CYTHON_FUTURE_DIVISION
  #define __Pyx_PyNumber_Divide(x,y)         PyNumber_TrueDivide(x,y)
  #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceTrueDivide(x,y)
#else
  #define __Pyx_PyNumber_Divide(x,y)         PyNumber_Divide(x,y)
  #define __Pyx_PyNumber_InPlaceDivide(x,y)  PyNumber_InPlaceDivide(x,y)
#endif
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1 && CYTHON_USE_UNICODE_INTERNALS
#define __Pyx_PyDict_GetItemStr(dict, name)  _PyDict_GetItem_KnownHash(dict, name, ((PyASCIIObject *) name)->hash)
#else
#define __Pyx_PyDict_GetItemStr(dict, name)  PyDict_GetItem(dict, name)
#endif
#if PY_VERSION_HEX > 0x03030000 && defined(PyUnicode_KIND)
  #define CYTHON_PEP393_ENABLED 1
  #define __Pyx_PyUnicode_READY(op)       (likely(PyUnicode_IS_READY(op)) ?\
                                              0 : _PyUnicode_Ready((PyObject *)(op)))
  #define __Pyx_PyUnicode_GET_LENGTH(u)   PyUnicode_GET_LENGTH(u)
  #define __Pyx_PyUnicode_READ_CHAR(u, i) PyUnicode_READ_CHAR(u, i)
  #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u)   PyUnicode_MAX_CHAR_VALUE(u)
  #define __Pyx_PyUnicode_KIND(u)         PyUnicode_KIND(u)
  #define __Pyx_PyUnicode_DATA(u)         PyUnicode_DATA(u)
  #define __Pyx_PyUnicode_READ(k, d, i)   PyUnicode_READ(k, d, i)
  #define __Pyx_PyUnicode_WRITE(k, d, i, ch)  PyUnicode_WRITE(k, d, i, ch)
  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != (likely(PyUnicode_IS_READY(u)) ? PyUnicode_GET_LENGTH(u) : PyUnicode_GET_SIZE(u)))
#else
  #define CYTHON_PEP393_ENABLED 0
  #define PyUnicode_1BYTE_KIND  1
  #define PyUnicode_2BYTE_KIND  2
  #define PyUnicode_4BYTE_KIND  4
  #define __Pyx_PyUnicode_READY(op)       (0)
  #define __Pyx_PyUnicode_GET_LENGTH(u)   PyUnicode_GET_SIZE(u)
  #define __Pyx_PyUnicode_READ_CHAR(u, i) ((Py_UCS4)(PyUnicode_AS_UNICODE(u)[i]))
  #define __Pyx_PyUnicode_MAX_CHAR_VALUE(u)   ((sizeof(Py_UNICODE) == 2) ? 65535 : 1114111)
  #define __Pyx_PyUnicode_KIND(u)         (sizeof(Py_UNICODE))
  #define __Pyx_PyUnicode_DATA(u)         ((void*)PyUnicode_AS_UNICODE(u))
  #define __Pyx_PyUnicode_READ(k, d, i)   ((void)(k), (Py_UCS4)(((Py_UNICODE*)d)[i]))
  #define __Pyx_PyUnicode_WRITE(k, d, i, ch)  (((void)(k)), ((Py_UNICODE*)d)[i] = ch)
  #define __Pyx_PyUnicode_IS_TRUE(u)      (0 != PyUnicode_GET_SIZE(u))
#endif
#if CYTHON_COMPILING_IN_PYPY
  #define __Pyx_PyUnicode_Concat(a, b)      PyNumber_Add(a, b)
  #define __Pyx_PyUnicode_ConcatSafe(a, b)  PyNumber_Add(a, b)
#else
  #define __Pyx_PyUnicode_Concat(a, b)      PyUnicode_Concat(a, b)
  #define __Pyx_PyUnicode_ConcatSafe(a, b)  ((unlikely((a) == Py_None) || unlikely((b) == Py_None)) ?\
      PyNumber_Add(a, b) : __Pyx_PyUnicode_Concat(a, b))
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyUnicode_Contains)
  #define PyUnicode_Contains(u, s)  PySequence_Contains(u, s)
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyByteArray_Check)
  #define PyByteArray_Check(obj)  PyObject_TypeCheck(obj, &PyByteArray_Type)
#endif
#if CYTHON_COMPILING_IN_PYPY && !defined(PyObject_Format)
  #define PyObject_Format(obj, fmt)  PyObject_CallMethod(obj, "__format__", "O", fmt)
#endif
#define __Pyx_PyString_FormatSafe(a, b)   ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : __Pyx_PyString_Format(a, b))
#define __Pyx_PyUnicode_FormatSafe(a, b)  ((unlikely((a) == Py_None)) ? PyNumber_Remainder(a, b) : PyUnicode_Format(a, b))
#if PY_MAJOR_VERSION >= 3
  #define __Pyx_PyString_Format(a, b)  PyUnicode_Format(a, b)
#else
  #define __Pyx_PyString_Format(a, b)  PyString_Format(a, b)
#endif
#if PY_MAJOR_VERSION < 3 && !defined(PyObject_ASCII)
  #define PyObject_ASCII(o)            PyObject_Repr(o)
#endif
#if PY_MAJOR_VERSION >= 3
  #define PyBaseString_Type            PyUnicode_Type
  #define PyStringObject               PyUnicodeObject
  #define PyString_Type                PyUnicode_Type
  #define PyString_Check               PyUnicode_Check
  #define PyString_CheckExact          PyUnicode_CheckExact
  #define PyObject_Unicode             PyObject_Str
#endif
#if PY_MAJOR_VERSION >= 3
  #define __Pyx_PyBaseString_Check(obj) PyUnicode_Check(obj)
  #define __Pyx_PyBaseString_CheckExact(obj) PyUnicode_CheckExact(obj)
#else
  #define __Pyx_PyBaseString_Check(obj) (PyString_Check(obj) || PyUnicode_Check(obj))
  #define __Pyx_PyBaseString_CheckExact(obj) (PyString_CheckExact(obj) || PyUnicode_CheckExact(obj))
#endif
#ifndef PySet_CheckExact
  #define PySet_CheckExact(obj)        (Py_TYPE(obj) == &PySet_Type)
#endif
#if CYTHON_ASSUME_SAFE_MACROS
  #define __Pyx_PySequence_SIZE(seq)  Py_SIZE(seq)
#else
  #define __Pyx_PySequence_SIZE(seq)  PySequence_Size(seq)
#endif
#if PY_MAJOR_VERSION >= 3
  #define PyIntObject                  PyLongObject
  #define PyInt_Type                   PyLong_Type
  #define PyInt_Check(op)              PyLong_Check(op)
  #define PyInt_CheckExact(op)         PyLong_CheckExact(op)
  #define PyInt_FromString             PyLong_FromString
  #define PyInt_FromUnicode            PyLong_FromUnicode
  #define PyInt_FromLong               PyLong_FromLong
  #define PyInt_FromSize_t             PyLong_FromSize_t
  #define PyInt_FromSsize_t            PyLong_FromSsize_t
  #define PyInt_AsLong                 PyLong_AsLong
  #define PyInt_AS_LONG                PyLong_AS_LONG
  #define PyInt_AsSsize_t              PyLong_AsSsize_t
  #define PyInt_AsUnsignedLongMask     PyLong_AsUnsignedLongMask
  #define PyInt_AsUnsignedLongLongMask PyLong_AsUnsignedLongLongMask
  #define PyNumber_Int                 PyNumber_Long
#endif
#if PY_MAJOR_VERSION >= 3
  #define PyBoolObject                 PyLongObject
#endif
#if PY_MAJOR_VERSION >= 3 && CYTHON_COMPILING_IN_PYPY
  #ifndef PyUnicode_InternFromString
    #define PyUnicode_InternFromString(s) PyUnicode_FromString(s)
  #endif
#endif
#if PY_VERSION_HEX < 0x030200A4
  typedef long Py_hash_t;
  #define __Pyx_PyInt_FromHash_t PyInt_FromLong
  #define __Pyx_PyInt_AsHash_t   PyInt_AsLong
#else
  #define __Pyx_PyInt_FromHash_t PyInt_FromSsize_t
  #define __Pyx_PyInt_AsHash_t   PyInt_AsSsize_t
#endif
#if PY_MAJOR_VERSION >= 3
  #define __Pyx_PyMethod_New(func, self, klass) ((self) ? PyMethod_New(func, self) : (Py_INCREF(func), func))
#else
  #define __Pyx_PyMethod_New(func, self, klass) PyMethod_New(func, self, klass)
#endif
#if CYTHON_USE_ASYNC_SLOTS
  #if PY_VERSION_HEX >= 0x030500B1
    #define __Pyx_PyAsyncMethodsStruct PyAsyncMethods
    #define __Pyx_PyType_AsAsync(obj) (Py_TYPE(obj)->tp_as_async)
  #else
    #define __Pyx_PyType_AsAsync(obj) ((__Pyx_PyAsyncMethodsStruct*) (Py_TYPE(obj)->tp_reserved))
  #endif
#else
  #define __Pyx_PyType_AsAsync(obj) NULL
#endif
#ifndef __Pyx_PyAsyncMethodsStruct
    typedef struct {
        unaryfunc am_await;
        unaryfunc am_aiter;
        unaryfunc am_anext;
    } __Pyx_PyAsyncMethodsStruct;
#endif

#if defined(WIN32) || defined(MS_WINDOWS)
  #define _USE_MATH_DEFINES
#endif
#include <math.h>
#ifdef NAN
#define __PYX_NAN() ((float) NAN)
#else
static CYTHON_INLINE float __PYX_NAN() {
  float value;
  memset(&value, 0xFF, sizeof(value));
  return value;
}
#endif
#if defined(__CYGWIN__) && defined(_LDBL_EQ_DBL)
#define __Pyx_truncl trunc
#else
#define __Pyx_truncl truncl
#endif


#define __PYX_ERR(f_index, lineno, Ln_error) \
{ \
  __pyx_filename = __pyx_f[f_index]; __pyx_lineno = lineno; __pyx_clineno = __LINE__; goto Ln_error; \
}

#ifndef __PYX_EXTERN_C
  #ifdef __cplusplus
    #define __PYX_EXTERN_C extern "C"
  #else
    #define __PYX_EXTERN_C extern
  #endif
#endif

#define __PYX_HAVE__pydbm__rnn__lstmmodel__conv_lstm_model
#define __PYX_HAVE_API__pydbm__rnn__lstmmodel__conv_lstm_model
/* Early includes */
#include <string.h>
#include <stdio.h>
#include "numpy/arrayobject.h"
#include "numpy/ufuncobject.h"
#ifdef _OPENMP
#include <omp.h>
#endif /* _OPENMP */

#if defined(PYREX_WITHOUT_ASSERTIONS) && !defined(CYTHON_WITHOUT_ASSERTIONS)
#define CYTHON_WITHOUT_ASSERTIONS
#endif

typedef struct {PyObject **p; const char *s; const Py_ssize_t n; const char* encoding;
                const char is_unicode; const char is_str; const char intern; } __Pyx_StringTabEntry;

#define __PYX_DEFAULT_STRING_ENCODING_IS_ASCII 0
#define __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT 0
#define __PYX_DEFAULT_STRING_ENCODING ""
#define __Pyx_PyObject_FromString __Pyx_PyBytes_FromString
#define __Pyx_PyObject_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#define __Pyx_uchar_cast(c) ((unsigned char)c)
#define __Pyx_long_cast(x) ((long)x)
#define __Pyx_fits_Py_ssize_t(v, type, is_signed)  (\
    (sizeof(type) < sizeof(Py_ssize_t))  ||\
    (sizeof(type) > sizeof(Py_ssize_t) &&\
          likely(v < (type)PY_SSIZE_T_MAX ||\
                 v == (type)PY_SSIZE_T_MAX)  &&\
          (!is_signed || likely(v > (type)PY_SSIZE_T_MIN ||\
                                v == (type)PY_SSIZE_T_MIN)))  ||\
    (sizeof(type) == sizeof(Py_ssize_t) &&\
          (is_signed || likely(v < (type)PY_SSIZE_T_MAX ||\
                               v == (type)PY_SSIZE_T_MAX)))  )
#if defined (__cplusplus) && __cplusplus >= 201103L
    #include <cstdlib>
    #define __Pyx_sst_abs(value) std::abs(value)
#elif SIZEOF_INT >= SIZEOF_SIZE_T
    #define __Pyx_sst_abs(value) abs(value)
#elif SIZEOF_LONG >= SIZEOF_SIZE_T
    #define __Pyx_sst_abs(value) labs(value)
#elif defined (_MSC_VER)
    #define __Pyx_sst_abs(value) ((Py_ssize_t)_abs64(value))
#elif defined (__STDC_VERSION__) && __STDC_VERSION__ >= 199901L
    #define __Pyx_sst_abs(value) llabs(value)
#elif defined (__GNUC__)
    #define __Pyx_sst_abs(value) __builtin_llabs(value)
#else
    #define __Pyx_sst_abs(value) ((value<0) ? -value : value)
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject*);
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject*, Py_ssize_t* length);
#define __Pyx_PyByteArray_FromString(s) PyByteArray_FromStringAndSize((const char*)s, strlen((const char*)s))
#define __Pyx_PyByteArray_FromStringAndSize(s, l) PyByteArray_FromStringAndSize((const char*)s, l)
#define __Pyx_PyBytes_FromString        PyBytes_FromString
#define __Pyx_PyBytes_FromStringAndSize PyBytes_FromStringAndSize
static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char*);
#if PY_MAJOR_VERSION < 3
    #define __Pyx_PyStr_FromString        __Pyx_PyBytes_FromString
    #define __Pyx_PyStr_FromStringAndSize __Pyx_PyBytes_FromStringAndSize
#else
    #define __Pyx_PyStr_FromString        __Pyx_PyUnicode_FromString
    #define __Pyx_PyStr_FromStringAndSize __Pyx_PyUnicode_FromStringAndSize
#endif
#define __Pyx_PyBytes_AsWritableString(s)     ((char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableSString(s)    ((signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsWritableUString(s)    ((unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsString(s)     ((const char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsSString(s)    ((const signed char*) PyBytes_AS_STRING(s))
#define __Pyx_PyBytes_AsUString(s)    ((const unsigned char*) PyBytes_AS_STRING(s))
#define __Pyx_PyObject_AsWritableString(s)    ((char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableSString(s)    ((signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsWritableUString(s)    ((unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsSString(s)    ((const signed char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_AsUString(s)    ((const unsigned char*) __Pyx_PyObject_AsString(s))
#define __Pyx_PyObject_FromCString(s)  __Pyx_PyObject_FromString((const char*)s)
#define __Pyx_PyBytes_FromCString(s)   __Pyx_PyBytes_FromString((const char*)s)
#define __Pyx_PyByteArray_FromCString(s)   __Pyx_PyByteArray_FromString((const char*)s)
#define __Pyx_PyStr_FromCString(s)     __Pyx_PyStr_FromString((const char*)s)
#define __Pyx_PyUnicode_FromCString(s) __Pyx_PyUnicode_FromString((const char*)s)
static CYTHON_INLINE size_t __Pyx_Py_UNICODE_strlen(const Py_UNICODE *u) {
    const Py_UNICODE *u_end = u;
    while (*u_end++) ;
    return (size_t)(u_end - u - 1);
}
#define __Pyx_PyUnicode_FromUnicode(u)       PyUnicode_FromUnicode(u, __Pyx_Py_UNICODE_strlen(u))
#define __Pyx_PyUnicode_FromUnicodeAndLength PyUnicode_FromUnicode
#define __Pyx_PyUnicode_AsUnicode            PyUnicode_AsUnicode
#define __Pyx_NewRef(obj) (Py_INCREF(obj), obj)
#define __Pyx_Owned_Py_None(b) __Pyx_NewRef(Py_None)
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b);
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject*);
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x);
#define __Pyx_PySequence_Tuple(obj)\
    (likely(PyTuple_CheckExact(obj)) ? __Pyx_NewRef(obj) : PySequence_Tuple(obj))
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject*);
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t);
#if CYTHON_ASSUME_SAFE_MACROS
#define __pyx_PyFloat_AsDouble(x) (PyFloat_CheckExact(x) ? PyFloat_AS_DOUBLE(x) : PyFloat_AsDouble(x))
#else
#define __pyx_PyFloat_AsDouble(x) PyFloat_AsDouble(x)
#endif
#define __pyx_PyFloat_AsFloat(x) ((float) __pyx_PyFloat_AsDouble(x))
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyNumber_Int(x) (PyLong_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Long(x))
#else
#define __Pyx_PyNumber_Int(x) (PyInt_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Int(x))
#endif
#define __Pyx_PyNumber_Float(x) (PyFloat_CheckExact(x) ? __Pyx_NewRef(x) : PyNumber_Float(x))
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
static int __Pyx_sys_getdefaultencoding_not_ascii;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
    PyObject* sys;
    PyObject* default_encoding = NULL;
    PyObject* ascii_chars_u = NULL;
    PyObject* ascii_chars_b = NULL;
    const char* default_encoding_c;
    sys = PyImport_ImportModule("sys");
    if (!sys) goto bad;
    default_encoding = PyObject_CallMethod(sys, (char*) "getdefaultencoding", NULL);
    Py_DECREF(sys);
    if (!default_encoding) goto bad;
    default_encoding_c = PyBytes_AsString(default_encoding);
    if (!default_encoding_c) goto bad;
    if (strcmp(default_encoding_c, "ascii") == 0) {
        __Pyx_sys_getdefaultencoding_not_ascii = 0;
    } else {
        char ascii_chars[128];
        int c;
        for (c = 0; c < 128; c++) {
            ascii_chars[c] = c;
        }
        __Pyx_sys_getdefaultencoding_not_ascii = 1;
        ascii_chars_u = PyUnicode_DecodeASCII(ascii_chars, 128, NULL);
        if (!ascii_chars_u) goto bad;
        ascii_chars_b = PyUnicode_AsEncodedString(ascii_chars_u, default_encoding_c, NULL);
        if (!ascii_chars_b || !PyBytes_Check(ascii_chars_b) || memcmp(ascii_chars, PyBytes_AS_STRING(ascii_chars_b), 128) != 0) {
            PyErr_Format(
                PyExc_ValueError,
                "This module compiled with c_string_encoding=ascii, but default encoding '%.200s' is not a superset of ascii.",
                default_encoding_c);
            goto bad;
        }
        Py_DECREF(ascii_chars_u);
        Py_DECREF(ascii_chars_b);
    }
    Py_DECREF(default_encoding);
    return 0;
bad:
    Py_XDECREF(default_encoding);
    Py_XDECREF(ascii_chars_u);
    Py_XDECREF(ascii_chars_b);
    return -1;
}
#endif
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT && PY_MAJOR_VERSION >= 3
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_DecodeUTF8(c_str, size, NULL)
#else
#define __Pyx_PyUnicode_FromStringAndSize(c_str, size) PyUnicode_Decode(c_str, size, __PYX_DEFAULT_STRING_ENCODING, NULL)
#if __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
static char* __PYX_DEFAULT_STRING_ENCODING;
static int __Pyx_init_sys_getdefaultencoding_params(void) {
    PyObject* sys;
    PyObject* default_encoding = NULL;
    char* default_encoding_c;
    sys = PyImport_ImportModule("sys");
    if (!sys) goto bad;
    default_encoding = PyObject_CallMethod(sys, (char*) (const char*) "getdefaultencoding", NULL);
    Py_DECREF(sys);
    if (!default_encoding) goto bad;
    default_encoding_c = PyBytes_AsString(default_encoding);
    if (!default_encoding_c) goto bad;
    __PYX_DEFAULT_STRING_ENCODING = (char*) malloc(strlen(default_encoding_c));
    if (!__PYX_DEFAULT_STRING_ENCODING) goto bad;
    strcpy(__PYX_DEFAULT_STRING_ENCODING, default_encoding_c);
    Py_DECREF(default_encoding);
    return 0;
bad:
    Py_XDECREF(default_encoding);
    return -1;
}
#endif
#endif


/* Test for GCC > 2.95 */
#if defined(__GNUC__)     && (__GNUC__ > 2 || (__GNUC__ == 2 && (__GNUC_MINOR__ > 95)))
  #define likely(x)   __builtin_expect(!!(x), 1)
  #define unlikely(x) __builtin_expect(!!(x), 0)
#else /* !__GNUC__ or GCC < 2.95 */
  #define likely(x)   (x)
  #define unlikely(x) (x)
#endif /* __GNUC__ */
static CYTHON_INLINE void __Pyx_pretend_to_initialize(void* ptr) { (void)ptr; }

static PyObject *__pyx_m = NULL;
static PyObject *__pyx_d;
static PyObject *__pyx_b;
static PyObject *__pyx_cython_runtime = NULL;
static PyObject *__pyx_empty_tuple;
static PyObject *__pyx_empty_bytes;
static PyObject *__pyx_empty_unicode;
static int __pyx_lineno;
static int __pyx_clineno = 0;
static const char * __pyx_cfilenm= __FILE__;
static const char *__pyx_filename;

/* Header.proto */
#if !defined(CYTHON_CCOMPLEX)
  #if defined(__cplusplus)
    #define CYTHON_CCOMPLEX 1
  #elif defined(_Complex_I)
    #define CYTHON_CCOMPLEX 1
  #else
    #define CYTHON_CCOMPLEX 0
  #endif
#endif
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    #include <complex>
  #else
    #include <complex.h>
  #endif
#endif
#if CYTHON_CCOMPLEX && !defined(__cplusplus) && defined(__sun__) && defined(__GNUC__)
  #undef _Complex_I
  #define _Complex_I 1.0fj
#endif


static const char *__pyx_f[] = {
  "pydbm/rnn/lstmmodel/conv_lstm_model.pyx",
  "__init__.pxd",
  "type.pxd",
};
/* BufferFormatStructs.proto */
#define IS_UNSIGNED(type) (((type) -1) > 0)
struct __Pyx_StructField_;
#define __PYX_BUF_FLAGS_PACKED_STRUCT (1 << 0)
typedef struct {
  const char* name;
  struct __Pyx_StructField_* fields;
  size_t size;
  size_t arraysize[8];
  int ndim;
  char typegroup;
  char is_unsigned;
  int flags;
} __Pyx_TypeInfo;
typedef struct __Pyx_StructField_ {
  __Pyx_TypeInfo* type;
  const char* name;
  size_t offset;
} __Pyx_StructField;
typedef struct {
  __Pyx_StructField* field;
  size_t parent_offset;
} __Pyx_BufFmt_StackElem;
typedef struct {
  __Pyx_StructField root;
  __Pyx_BufFmt_StackElem* head;
  size_t fmt_offset;
  size_t new_count, enc_count;
  size_t struct_alignment;
  int is_complex;
  char enc_type;
  char new_packmode;
  char enc_packmode;
  char is_valid_array;
} __Pyx_BufFmt_Context;


/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":730
 * # in Cython to enable them only on the right systems.
 * 
 * ctypedef npy_int8       int8_t             # <<<<<<<<<<<<<<
 * ctypedef npy_int16      int16_t
 * ctypedef npy_int32      int32_t
 */
typedef npy_int8 __pyx_t_5numpy_int8_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":731
 * 
 * ctypedef npy_int8       int8_t
 * ctypedef npy_int16      int16_t             # <<<<<<<<<<<<<<
 * ctypedef npy_int32      int32_t
 * ctypedef npy_int64      int64_t
 */
typedef npy_int16 __pyx_t_5numpy_int16_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":732
 * ctypedef npy_int8       int8_t
 * ctypedef npy_int16      int16_t
 * ctypedef npy_int32      int32_t             # <<<<<<<<<<<<<<
 * ctypedef npy_int64      int64_t
 * #ctypedef npy_int96      int96_t
 */
typedef npy_int32 __pyx_t_5numpy_int32_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":733
 * ctypedef npy_int16      int16_t
 * ctypedef npy_int32      int32_t
 * ctypedef npy_int64      int64_t             # <<<<<<<<<<<<<<
 * #ctypedef npy_int96      int96_t
 * #ctypedef npy_int128     int128_t
 */
typedef npy_int64 __pyx_t_5numpy_int64_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":737
 * #ctypedef npy_int128     int128_t
 * 
 * ctypedef npy_uint8      uint8_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uint16     uint16_t
 * ctypedef npy_uint32     uint32_t
 */
typedef npy_uint8 __pyx_t_5numpy_uint8_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":738
 * 
 * ctypedef npy_uint8      uint8_t
 * ctypedef npy_uint16     uint16_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uint32     uint32_t
 * ctypedef npy_uint64     uint64_t
 */
typedef npy_uint16 __pyx_t_5numpy_uint16_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":739
 * ctypedef npy_uint8      uint8_t
 * ctypedef npy_uint16     uint16_t
 * ctypedef npy_uint32     uint32_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uint64     uint64_t
 * #ctypedef npy_uint96     uint96_t
 */
typedef npy_uint32 __pyx_t_5numpy_uint32_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":740
 * ctypedef npy_uint16     uint16_t
 * ctypedef npy_uint32     uint32_t
 * ctypedef npy_uint64     uint64_t             # <<<<<<<<<<<<<<
 * #ctypedef npy_uint96     uint96_t
 * #ctypedef npy_uint128    uint128_t
 */
typedef npy_uint64 __pyx_t_5numpy_uint64_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":744
 * #ctypedef npy_uint128    uint128_t
 * 
 * ctypedef npy_float32    float32_t             # <<<<<<<<<<<<<<
 * ctypedef npy_float64    float64_t
 * #ctypedef npy_float80    float80_t
 */
typedef npy_float32 __pyx_t_5numpy_float32_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":745
 * 
 * ctypedef npy_float32    float32_t
 * ctypedef npy_float64    float64_t             # <<<<<<<<<<<<<<
 * #ctypedef npy_float80    float80_t
 * #ctypedef npy_float128   float128_t
 */
typedef npy_float64 __pyx_t_5numpy_float64_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":754
 * # The int types are mapped a bit surprising --
 * # numpy.int corresponds to 'l' and numpy.long to 'q'
 * ctypedef npy_long       int_t             # <<<<<<<<<<<<<<
 * ctypedef npy_longlong   long_t
 * ctypedef npy_longlong   longlong_t
 */
typedef npy_long __pyx_t_5numpy_int_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":755
 * # numpy.int corresponds to 'l' and numpy.long to 'q'
 * ctypedef npy_long       int_t
 * ctypedef npy_longlong   long_t             # <<<<<<<<<<<<<<
 * ctypedef npy_longlong   longlong_t
 * 
 */
typedef npy_longlong __pyx_t_5numpy_long_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":756
 * ctypedef npy_long       int_t
 * ctypedef npy_longlong   long_t
 * ctypedef npy_longlong   longlong_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_ulong      uint_t
 */
typedef npy_longlong __pyx_t_5numpy_longlong_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":758
 * ctypedef npy_longlong   longlong_t
 * 
 * ctypedef npy_ulong      uint_t             # <<<<<<<<<<<<<<
 * ctypedef npy_ulonglong  ulong_t
 * ctypedef npy_ulonglong  ulonglong_t
 */
typedef npy_ulong __pyx_t_5numpy_uint_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":759
 * 
 * ctypedef npy_ulong      uint_t
 * ctypedef npy_ulonglong  ulong_t             # <<<<<<<<<<<<<<
 * ctypedef npy_ulonglong  ulonglong_t
 * 
 */
typedef npy_ulonglong __pyx_t_5numpy_ulong_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":760
 * ctypedef npy_ulong      uint_t
 * ctypedef npy_ulonglong  ulong_t
 * ctypedef npy_ulonglong  ulonglong_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_intp       intp_t
 */
typedef npy_ulonglong __pyx_t_5numpy_ulonglong_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":762
 * ctypedef npy_ulonglong  ulonglong_t
 * 
 * ctypedef npy_intp       intp_t             # <<<<<<<<<<<<<<
 * ctypedef npy_uintp      uintp_t
 * 
 */
typedef npy_intp __pyx_t_5numpy_intp_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":763
 * 
 * ctypedef npy_intp       intp_t
 * ctypedef npy_uintp      uintp_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_double     float_t
 */
typedef npy_uintp __pyx_t_5numpy_uintp_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":765
 * ctypedef npy_uintp      uintp_t
 * 
 * ctypedef npy_double     float_t             # <<<<<<<<<<<<<<
 * ctypedef npy_double     double_t
 * ctypedef npy_longdouble longdouble_t
 */
typedef npy_double __pyx_t_5numpy_float_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":766
 * 
 * ctypedef npy_double     float_t
 * ctypedef npy_double     double_t             # <<<<<<<<<<<<<<
 * ctypedef npy_longdouble longdouble_t
 * 
 */
typedef npy_double __pyx_t_5numpy_double_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":767
 * ctypedef npy_double     float_t
 * ctypedef npy_double     double_t
 * ctypedef npy_longdouble longdouble_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_cfloat      cfloat_t
 */
typedef npy_longdouble __pyx_t_5numpy_longdouble_t;

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":5
 * import numpy as np
 * cimport numpy as np
 * ctypedef np.float64_t DOUBLE_t             # <<<<<<<<<<<<<<
 * from pydbm.synapse_list import Synapse
 * from pydbm.cnn.layerablecnn.convolution_layer import ConvolutionLayer
 */
typedef __pyx_t_5numpy_float64_t __pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t;
/* Declarations.proto */
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    typedef ::std::complex< float > __pyx_t_float_complex;
  #else
    typedef float _Complex __pyx_t_float_complex;
  #endif
#else
    typedef struct { float real, imag; } __pyx_t_float_complex;
#endif
static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float, float);

/* Declarations.proto */
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    typedef ::std::complex< double > __pyx_t_double_complex;
  #else
    typedef double _Complex __pyx_t_double_complex;
  #endif
#else
    typedef struct { double real, imag; } __pyx_t_double_complex;
#endif
static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double, double);


/*--- Type declarations ---*/

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":769
 * ctypedef npy_longdouble longdouble_t
 * 
 * ctypedef npy_cfloat      cfloat_t             # <<<<<<<<<<<<<<
 * ctypedef npy_cdouble     cdouble_t
 * ctypedef npy_clongdouble clongdouble_t
 */
typedef npy_cfloat __pyx_t_5numpy_cfloat_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":770
 * 
 * ctypedef npy_cfloat      cfloat_t
 * ctypedef npy_cdouble     cdouble_t             # <<<<<<<<<<<<<<
 * ctypedef npy_clongdouble clongdouble_t
 * 
 */
typedef npy_cdouble __pyx_t_5numpy_cdouble_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":771
 * ctypedef npy_cfloat      cfloat_t
 * ctypedef npy_cdouble     cdouble_t
 * ctypedef npy_clongdouble clongdouble_t             # <<<<<<<<<<<<<<
 * 
 * ctypedef npy_cdouble     complex_t
 */
typedef npy_clongdouble __pyx_t_5numpy_clongdouble_t;

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":773
 * ctypedef npy_clongdouble clongdouble_t
 * 
 * ctypedef npy_cdouble     complex_t             # <<<<<<<<<<<<<<
 * 
 * cdef inline object PyArray_MultiIterNew1(a):
 */
typedef npy_cdouble __pyx_t_5numpy_complex_t;
struct __pyx_defaults;
typedef struct __pyx_defaults __pyx_defaults;
struct __pyx_defaults {
  PyArrayObject *__pyx_arg_target_arr;
};

/* --- Runtime support code (head) --- */
/* Refnanny.proto */
#ifndef CYTHON_REFNANNY
  #define CYTHON_REFNANNY 0
#endif
#if CYTHON_REFNANNY
  typedef struct {
    void (*INCREF)(void*, PyObject*, int);
    void (*DECREF)(void*, PyObject*, int);
    void (*GOTREF)(void*, PyObject*, int);
    void (*GIVEREF)(void*, PyObject*, int);
    void* (*SetupContext)(const char*, int, const char*);
    void (*FinishContext)(void**);
  } __Pyx_RefNannyAPIStruct;
  static __Pyx_RefNannyAPIStruct *__Pyx_RefNanny = NULL;
  static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname);
  #define __Pyx_RefNannyDeclarations void *__pyx_refnanny = NULL;
#ifdef WITH_THREAD
  #define __Pyx_RefNannySetupContext(name, acquire_gil)\
          if (acquire_gil) {\
              PyGILState_STATE __pyx_gilstate_save = PyGILState_Ensure();\
              __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__);\
              PyGILState_Release(__pyx_gilstate_save);\
          } else {\
              __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__);\
          }
#else
  #define __Pyx_RefNannySetupContext(name, acquire_gil)\
          __pyx_refnanny = __Pyx_RefNanny->SetupContext((name), __LINE__, __FILE__)
#endif
  #define __Pyx_RefNannyFinishContext()\
          __Pyx_RefNanny->FinishContext(&__pyx_refnanny)
  #define __Pyx_INCREF(r)  __Pyx_RefNanny->INCREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
  #define __Pyx_DECREF(r)  __Pyx_RefNanny->DECREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
  #define __Pyx_GOTREF(r)  __Pyx_RefNanny->GOTREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
  #define __Pyx_GIVEREF(r) __Pyx_RefNanny->GIVEREF(__pyx_refnanny, (PyObject *)(r), __LINE__)
  #define __Pyx_XINCREF(r)  do { if((r) != NULL) {__Pyx_INCREF(r); }} while(0)
  #define __Pyx_XDECREF(r)  do { if((r) != NULL) {__Pyx_DECREF(r); }} while(0)
  #define __Pyx_XGOTREF(r)  do { if((r) != NULL) {__Pyx_GOTREF(r); }} while(0)
  #define __Pyx_XGIVEREF(r) do { if((r) != NULL) {__Pyx_GIVEREF(r);}} while(0)
#else
  #define __Pyx_RefNannyDeclarations
  #define __Pyx_RefNannySetupContext(name, acquire_gil)
  #define __Pyx_RefNannyFinishContext()
  #define __Pyx_INCREF(r) Py_INCREF(r)
  #define __Pyx_DECREF(r) Py_DECREF(r)
  #define __Pyx_GOTREF(r)
  #define __Pyx_GIVEREF(r)
  #define __Pyx_XINCREF(r) Py_XINCREF(r)
  #define __Pyx_XDECREF(r) Py_XDECREF(r)
  #define __Pyx_XGOTREF(r)
  #define __Pyx_XGIVEREF(r)
#endif
#define __Pyx_XDECREF_SET(r, v) do {\
        PyObject *tmp = (PyObject *) r;\
        r = v; __Pyx_XDECREF(tmp);\
    } while (0)
#define __Pyx_DECREF_SET(r, v) do {\
        PyObject *tmp = (PyObject *) r;\
        r = v; __Pyx_DECREF(tmp);\
    } while (0)
#define __Pyx_CLEAR(r)    do { PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);} while(0)
#define __Pyx_XCLEAR(r)   do { if((r) != NULL) {PyObject* tmp = ((PyObject*)(r)); r = NULL; __Pyx_DECREF(tmp);}} while(0)

/* PyObjectGetAttrStr.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name);
#else
#define __Pyx_PyObject_GetAttrStr(o,n) PyObject_GetAttr(o,n)
#endif

/* GetBuiltinName.proto */
static PyObject *__Pyx_GetBuiltinName(PyObject *name);

/* GetModuleGlobalName.proto */
static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name);

/* PyFunctionFastCall.proto */
#if CYTHON_FAST_PYCALL
#define __Pyx_PyFunction_FastCall(func, args, nargs)\
    __Pyx_PyFunction_FastCallDict((func), (args), (nargs), NULL)
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs);
#else
#define __Pyx_PyFunction_FastCallDict(func, args, nargs, kwargs) _PyFunction_FastCallDict(func, args, nargs, kwargs)
#endif
#endif

/* PyObjectCall.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw);
#else
#define __Pyx_PyObject_Call(func, arg, kw) PyObject_Call(func, arg, kw)
#endif

/* PyObjectCallMethO.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg);
#endif

/* PyObjectCallNoArg.proto */
#if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func);
#else
#define __Pyx_PyObject_CallNoArg(func) __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL)
#endif

/* PyThreadStateGet.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyThreadState_declare  PyThreadState *__pyx_tstate;
#define __Pyx_PyThreadState_assign  __pyx_tstate = __Pyx_PyThreadState_Current;
#define __Pyx_PyErr_Occurred()  __pyx_tstate->curexc_type
#else
#define __Pyx_PyThreadState_declare
#define __Pyx_PyThreadState_assign
#define __Pyx_PyErr_Occurred()  PyErr_Occurred()
#endif

/* PyErrFetchRestore.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_Clear() __Pyx_ErrRestore(NULL, NULL, NULL)
#define __Pyx_ErrRestoreWithState(type, value, tb)  __Pyx_ErrRestoreInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb)    __Pyx_ErrFetchInState(PyThreadState_GET(), type, value, tb)
#define __Pyx_ErrRestore(type, value, tb)  __Pyx_ErrRestoreInState(__pyx_tstate, type, value, tb)
#define __Pyx_ErrFetch(type, value, tb)    __Pyx_ErrFetchInState(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_PyErr_SetNone(exc) (Py_INCREF(exc), __Pyx_ErrRestore((exc), NULL, NULL))
#else
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#endif
#else
#define __Pyx_PyErr_Clear() PyErr_Clear()
#define __Pyx_PyErr_SetNone(exc) PyErr_SetNone(exc)
#define __Pyx_ErrRestoreWithState(type, value, tb)  PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchWithState(type, value, tb)  PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestoreInState(tstate, type, value, tb)  PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetchInState(tstate, type, value, tb)  PyErr_Fetch(type, value, tb)
#define __Pyx_ErrRestore(type, value, tb)  PyErr_Restore(type, value, tb)
#define __Pyx_ErrFetch(type, value, tb)  PyErr_Fetch(type, value, tb)
#endif

/* RaiseException.proto */
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause);

/* RaiseArgTupleInvalid.proto */
static void __Pyx_RaiseArgtupleInvalid(const char* func_name, int exact,
    Py_ssize_t num_min, Py_ssize_t num_max, Py_ssize_t num_found);

/* RaiseDoubleKeywords.proto */
static void __Pyx_RaiseDoubleKeywordsError(const char* func_name, PyObject* kw_name);

/* ParseKeywords.proto */
static int __Pyx_ParseOptionalKeywords(PyObject *kwds, PyObject **argnames[],\
    PyObject *kwds2, PyObject *values[], Py_ssize_t num_pos_args,\
    const char* function_name);

/* PyObjectSetAttrStr.proto */
#if CYTHON_USE_TYPE_SLOTS
#define __Pyx_PyObject_DelAttrStr(o,n) __Pyx_PyObject_SetAttrStr(o, n, NULL)
static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value);
#else
#define __Pyx_PyObject_DelAttrStr(o,n)   PyObject_DelAttr(o,n)
#define __Pyx_PyObject_SetAttrStr(o,n,v) PyObject_SetAttr(o,n,v)
#endif

/* PyCFunctionFastCall.proto */
#if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject *__Pyx_PyCFunction_FastCall(PyObject *func, PyObject **args, Py_ssize_t nargs);
#else
#define __Pyx_PyCFunction_FastCall(func, args, nargs)  (assert(0), NULL)
#endif

/* PyObjectCallOneArg.proto */
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg);

/* ArgTypeTest.proto */
#define __Pyx_ArgTypeTest(obj, type, none_allowed, name, exact)\
    ((likely((Py_TYPE(obj) == type) | (none_allowed && (obj == Py_None)))) ? 1 :\
        __Pyx__ArgTypeTest(obj, type, name, exact))
static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact);

/* IsLittleEndian.proto */
static CYTHON_INLINE int __Pyx_Is_Little_Endian(void);

/* BufferFormatCheck.proto */
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts);
static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
                              __Pyx_BufFmt_StackElem* stack,
                              __Pyx_TypeInfo* type);

/* BufferGetAndValidate.proto */
#define __Pyx_GetBufferAndValidate(buf, obj, dtype, flags, nd, cast, stack)\
    ((obj == Py_None || obj == NULL) ?\
    (__Pyx_ZeroBuffer(buf), 0) :\
    __Pyx__GetBufferAndValidate(buf, obj, dtype, flags, nd, cast, stack))
static int  __Pyx__GetBufferAndValidate(Py_buffer* buf, PyObject* obj,
    __Pyx_TypeInfo* dtype, int flags, int nd, int cast, __Pyx_BufFmt_StackElem* stack);
static void __Pyx_ZeroBuffer(Py_buffer* buf);
static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info);
static Py_ssize_t __Pyx_minusones[] = { -1, -1, -1, -1, -1, -1, -1, -1 };
static Py_ssize_t __Pyx_zeros[] = { 0, 0, 0, 0, 0, 0, 0, 0 };

/* ExtTypeTest.proto */
static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type);

/* GetItemInt.proto */
#define __Pyx_GetItemInt(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
    (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
    __Pyx_GetItemInt_Fast(o, (Py_ssize_t)i, is_list, wraparound, boundscheck) :\
    (is_list ? (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL) :\
               __Pyx_GetItemInt_Generic(o, to_py_func(i))))
#define __Pyx_GetItemInt_List(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
    (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
    __Pyx_GetItemInt_List_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
    (PyErr_SetString(PyExc_IndexError, "list index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
                                                              int wraparound, int boundscheck);
#define __Pyx_GetItemInt_Tuple(o, i, type, is_signed, to_py_func, is_list, wraparound, boundscheck)\
    (__Pyx_fits_Py_ssize_t(i, type, is_signed) ?\
    __Pyx_GetItemInt_Tuple_Fast(o, (Py_ssize_t)i, wraparound, boundscheck) :\
    (PyErr_SetString(PyExc_IndexError, "tuple index out of range"), (PyObject*)NULL))
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
                                                              int wraparound, int boundscheck);
static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j);
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i,
                                                     int is_list, int wraparound, int boundscheck);

/* ObjectGetItem.proto */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key);
#else
#define __Pyx_PyObject_GetItem(obj, key)  PyObject_GetItem(obj, key)
#endif

/* BufferFallbackError.proto */
static void __Pyx_RaiseBufferFallbackError(void);

/* PyIntBinop.proto */
#if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_EqObjC(PyObject *op1, PyObject *op2, long intval, int inplace);
#else
#define __Pyx_PyInt_EqObjC(op1, op2, intval, inplace)\
    PyObject_RichCompare(op1, op2, Py_EQ)
    #endif

/* py_abs.proto */
#if CYTHON_USE_PYLONG_INTERNALS
static PyObject *__Pyx_PyLong_AbsNeg(PyObject *num);
#define __Pyx_PyNumber_Absolute(x)\
    ((likely(PyLong_CheckExact(x))) ?\
         (likely(Py_SIZE(x) >= 0) ? (Py_INCREF(x), (x)) : __Pyx_PyLong_AbsNeg(x)) :\
         PyNumber_Absolute(x))
#else
#define __Pyx_PyNumber_Absolute(x)  PyNumber_Absolute(x)
#endif

/* None.proto */
static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname);

/* RaiseTooManyValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected);

/* RaiseNeedMoreValuesToUnpack.proto */
static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index);

/* IterFinish.proto */
static CYTHON_INLINE int __Pyx_IterFinish(void);

/* UnpackItemEndCheck.proto */
static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected);

/* SaveResetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_ExceptionSave(type, value, tb)  __Pyx__ExceptionSave(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#define __Pyx_ExceptionReset(type, value, tb)  __Pyx__ExceptionReset(__pyx_tstate, type, value, tb)
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb);
#else
#define __Pyx_ExceptionSave(type, value, tb)   PyErr_GetExcInfo(type, value, tb)
#define __Pyx_ExceptionReset(type, value, tb)  PyErr_SetExcInfo(type, value, tb)
#endif

/* PyErrExceptionMatches.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_PyErr_ExceptionMatches(err) __Pyx_PyErr_ExceptionMatchesInState(__pyx_tstate, err)
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err);
#else
#define __Pyx_PyErr_ExceptionMatches(err)  PyErr_ExceptionMatches(err)
#endif

/* GetException.proto */
#if CYTHON_FAST_THREAD_STATE
#define __Pyx_GetException(type, value, tb)  __Pyx__GetException(__pyx_tstate, type, value, tb)
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb);
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb);
#endif

/* ListAppend.proto */
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static CYTHON_INLINE int __Pyx_PyList_Append(PyObject* list, PyObject* x) {
    PyListObject* L = (PyListObject*) list;
    Py_ssize_t len = Py_SIZE(list);
    if (likely(L->allocated > len) & likely(len > (L->allocated >> 1))) {
        Py_INCREF(x);
        PyList_SET_ITEM(list, len, x);
        Py_SIZE(list) = len+1;
        return 0;
    }
    return PyList_Append(list, x);
}
#else
#define __Pyx_PyList_Append(L,x) PyList_Append(L,x)
#endif

/* PyObjectCallMethod1.proto */
static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg);
static PyObject* __Pyx__PyObject_CallMethod1(PyObject* method, PyObject* arg);

/* append.proto */
static CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x);

/* pop_index.proto */
static PyObject* __Pyx__PyObject_PopNewIndex(PyObject* L, PyObject* py_ix);
static PyObject* __Pyx__PyObject_PopIndex(PyObject* L, PyObject* py_ix);
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static PyObject* __Pyx__PyList_PopIndex(PyObject* L, PyObject* py_ix, Py_ssize_t ix);
#define __Pyx_PyObject_PopIndex(L, py_ix, ix, is_signed, type, to_py_func) (\
    (likely(PyList_CheckExact(L) && __Pyx_fits_Py_ssize_t(ix, type, is_signed))) ?\
        __Pyx__PyList_PopIndex(L, py_ix, ix) : (\
        (unlikely(py_ix == Py_None)) ? __Pyx__PyObject_PopNewIndex(L, to_py_func(ix)) :\
            __Pyx__PyObject_PopIndex(L, py_ix)))
#define __Pyx_PyList_PopIndex(L, py_ix, ix, is_signed, type, to_py_func) (\
    __Pyx_fits_Py_ssize_t(ix, type, is_signed) ?\
        __Pyx__PyList_PopIndex(L, py_ix, ix) : (\
        (unlikely(py_ix == Py_None)) ? __Pyx__PyObject_PopNewIndex(L, to_py_func(ix)) :\
            __Pyx__PyObject_PopIndex(L, py_ix)))
#else
#define __Pyx_PyList_PopIndex(L, py_ix, ix, is_signed, type, to_py_func)\
    __Pyx_PyObject_PopIndex(L, py_ix, ix, is_signed, type, to_py_func)
#define __Pyx_PyObject_PopIndex(L, py_ix, ix, is_signed, type, to_py_func) (\
    (unlikely(py_ix == Py_None)) ? __Pyx__PyObject_PopNewIndex(L, to_py_func(ix)) :\
        __Pyx__PyObject_PopIndex(L, py_ix))
#endif

/* IncludeStringH.proto */
#include <string.h>

/* BytesEquals.proto */
static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals);

/* UnicodeEquals.proto */
static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals);

/* StrEquals.proto */
#if PY_MAJOR_VERSION >= 3
#define __Pyx_PyString_Equals __Pyx_PyUnicode_Equals
#else
#define __Pyx_PyString_Equals __Pyx_PyBytes_Equals
#endif

/* PySequenceContains.proto */
static CYTHON_INLINE int __Pyx_PySequence_ContainsTF(PyObject* item, PyObject* seq, int eq) {
    int result = PySequence_Contains(seq, item);
    return unlikely(result < 0) ? result : (result == (eq == Py_EQ));
}

/* DictGetItem.proto */
#if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY
static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key);
#define __Pyx_PyObject_Dict_GetItem(obj, name)\
    (likely(PyDict_CheckExact(obj)) ?\
     __Pyx_PyDict_GetItem(obj, name) : PyObject_GetItem(obj, name))
#else
#define __Pyx_PyDict_GetItem(d, key) PyObject_GetItem(d, key)
#define __Pyx_PyObject_Dict_GetItem(obj, name)  PyObject_GetItem(obj, name)
#endif

/* RaiseNoneIterError.proto */
static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void);

/* Import.proto */
static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level);

/* ImportFrom.proto */
static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name);

/* CalculateMetaclass.proto */
static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases);

/* SetNameInClass.proto */
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
#define __Pyx_SetNameInClass(ns, name, value)\
    (likely(PyDict_CheckExact(ns)) ? _PyDict_SetItem_KnownHash(ns, name, value, ((PyASCIIObject *) name)->hash) : PyObject_SetItem(ns, name, value))
#elif CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_SetNameInClass(ns, name, value)\
    (likely(PyDict_CheckExact(ns)) ? PyDict_SetItem(ns, name, value) : PyObject_SetItem(ns, name, value))
#else
#define __Pyx_SetNameInClass(ns, name, value)  PyObject_SetItem(ns, name, value)
#endif

/* FetchCommonType.proto */
static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type);

/* CythonFunction.proto */
#define __Pyx_CyFunction_USED 1
#define __Pyx_CYFUNCTION_STATICMETHOD  0x01
#define __Pyx_CYFUNCTION_CLASSMETHOD   0x02
#define __Pyx_CYFUNCTION_CCLASS        0x04
#define __Pyx_CyFunction_GetClosure(f)\
    (((__pyx_CyFunctionObject *) (f))->func_closure)
#define __Pyx_CyFunction_GetClassObj(f)\
    (((__pyx_CyFunctionObject *) (f))->func_classobj)
#define __Pyx_CyFunction_Defaults(type, f)\
    ((type *)(((__pyx_CyFunctionObject *) (f))->defaults))
#define __Pyx_CyFunction_SetDefaultsGetter(f, g)\
    ((__pyx_CyFunctionObject *) (f))->defaults_getter = (g)
typedef struct {
    PyCFunctionObject func;
#if PY_VERSION_HEX < 0x030500A0
    PyObject *func_weakreflist;
#endif
    PyObject *func_dict;
    PyObject *func_name;
    PyObject *func_qualname;
    PyObject *func_doc;
    PyObject *func_globals;
    PyObject *func_code;
    PyObject *func_closure;
    PyObject *func_classobj;
    void *defaults;
    int defaults_pyobjects;
    int flags;
    PyObject *defaults_tuple;
    PyObject *defaults_kwdict;
    PyObject *(*defaults_getter)(PyObject *);
    PyObject *func_annotations;
} __pyx_CyFunctionObject;
static PyTypeObject *__pyx_CyFunctionType = 0;
#define __Pyx_CyFunction_NewEx(ml, flags, qualname, self, module, globals, code)\
    __Pyx_CyFunction_New(__pyx_CyFunctionType, ml, flags, qualname, self, module, globals, code)
static PyObject *__Pyx_CyFunction_New(PyTypeObject *, PyMethodDef *ml,
                                      int flags, PyObject* qualname,
                                      PyObject *self,
                                      PyObject *module, PyObject *globals,
                                      PyObject* code);
static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *m,
                                                         size_t size,
                                                         int pyobjects);
static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *m,
                                                            PyObject *tuple);
static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *m,
                                                             PyObject *dict);
static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *m,
                                                              PyObject *dict);
static int __pyx_CyFunction_init(void);

/* Py3ClassCreate.proto */
static PyObject *__Pyx_Py3MetaclassPrepare(PyObject *metaclass, PyObject *bases, PyObject *name, PyObject *qualname,
                                           PyObject *mkw, PyObject *modname, PyObject *doc);
static PyObject *__Pyx_Py3ClassCreate(PyObject *metaclass, PyObject *name, PyObject *bases, PyObject *dict,
                                      PyObject *mkw, int calculate_metaclass, int allow_py2_metaclass);

/* CLineInTraceback.proto */
#ifdef CYTHON_CLINE_IN_TRACEBACK
#define __Pyx_CLineForTraceback(tstate, c_line)  (((CYTHON_CLINE_IN_TRACEBACK)) ? c_line : 0)
#else
static int __Pyx_CLineForTraceback(PyThreadState *tstate, int c_line);
#endif

/* CodeObjectCache.proto */
typedef struct {
    PyCodeObject* code_object;
    int code_line;
} __Pyx_CodeObjectCacheEntry;
struct __Pyx_CodeObjectCache {
    int count;
    int max_count;
    __Pyx_CodeObjectCacheEntry* entries;
};
static struct __Pyx_CodeObjectCache __pyx_code_cache = {0,0,NULL};
static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line);
static PyCodeObject *__pyx_find_code_object(int code_line);
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object);

/* AddTraceback.proto */
static void __Pyx_AddTraceback(const char *funcname, int c_line,
                               int py_line, const char *filename);

/* BufferStructDeclare.proto */
typedef struct {
  Py_ssize_t shape, strides, suboffsets;
} __Pyx_Buf_DimInfo;
typedef struct {
  size_t refcount;
  Py_buffer pybuffer;
} __Pyx_Buffer;
typedef struct {
  __Pyx_Buffer *rcbuffer;
  char *data;
  __Pyx_Buf_DimInfo diminfo[8];
} __Pyx_LocalBuf_ND;

#if PY_MAJOR_VERSION < 3
    static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags);
    static void __Pyx_ReleaseBuffer(Py_buffer *view);
#else
    #define __Pyx_GetBuffer PyObject_GetBuffer
    #define __Pyx_ReleaseBuffer PyBuffer_Release
#endif


/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value);

/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_Py_intptr_t(Py_intptr_t value);

/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value);

/* RealImag.proto */
#if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    #define __Pyx_CREAL(z) ((z).real())
    #define __Pyx_CIMAG(z) ((z).imag())
  #else
    #define __Pyx_CREAL(z) (__real__(z))
    #define __Pyx_CIMAG(z) (__imag__(z))
  #endif
#else
    #define __Pyx_CREAL(z) ((z).real)
    #define __Pyx_CIMAG(z) ((z).imag)
#endif
#if defined(__cplusplus) && CYTHON_CCOMPLEX\
        && (defined(_WIN32) || defined(__clang__) || (defined(__GNUC__) && (__GNUC__ >= 5 || __GNUC__ == 4 && __GNUC_MINOR__ >= 4 )) || __cplusplus >= 201103)
    #define __Pyx_SET_CREAL(z,x) ((z).real(x))
    #define __Pyx_SET_CIMAG(z,y) ((z).imag(y))
#else
    #define __Pyx_SET_CREAL(z,x) __Pyx_CREAL(z) = (x)
    #define __Pyx_SET_CIMAG(z,y) __Pyx_CIMAG(z) = (y)
#endif

/* Arithmetic.proto */
#if CYTHON_CCOMPLEX
    #define __Pyx_c_eq_float(a, b)   ((a)==(b))
    #define __Pyx_c_sum_float(a, b)  ((a)+(b))
    #define __Pyx_c_diff_float(a, b) ((a)-(b))
    #define __Pyx_c_prod_float(a, b) ((a)*(b))
    #define __Pyx_c_quot_float(a, b) ((a)/(b))
    #define __Pyx_c_neg_float(a)     (-(a))
  #ifdef __cplusplus
    #define __Pyx_c_is_zero_float(z) ((z)==(float)0)
    #define __Pyx_c_conj_float(z)    (::std::conj(z))
    #if 1
        #define __Pyx_c_abs_float(z)     (::std::abs(z))
        #define __Pyx_c_pow_float(a, b)  (::std::pow(a, b))
    #endif
  #else
    #define __Pyx_c_is_zero_float(z) ((z)==0)
    #define __Pyx_c_conj_float(z)    (conjf(z))
    #if 1
        #define __Pyx_c_abs_float(z)     (cabsf(z))
        #define __Pyx_c_pow_float(a, b)  (cpowf(a, b))
    #endif
 #endif
#else
    static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex, __pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex);
    static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex);
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex);
    #if 1
        static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex);
        static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex, __pyx_t_float_complex);
    #endif
#endif

/* Arithmetic.proto */
#if CYTHON_CCOMPLEX
    #define __Pyx_c_eq_double(a, b)   ((a)==(b))
    #define __Pyx_c_sum_double(a, b)  ((a)+(b))
    #define __Pyx_c_diff_double(a, b) ((a)-(b))
    #define __Pyx_c_prod_double(a, b) ((a)*(b))
    #define __Pyx_c_quot_double(a, b) ((a)/(b))
    #define __Pyx_c_neg_double(a)     (-(a))
  #ifdef __cplusplus
    #define __Pyx_c_is_zero_double(z) ((z)==(double)0)
    #define __Pyx_c_conj_double(z)    (::std::conj(z))
    #if 1
        #define __Pyx_c_abs_double(z)     (::std::abs(z))
        #define __Pyx_c_pow_double(a, b)  (::std::pow(a, b))
    #endif
  #else
    #define __Pyx_c_is_zero_double(z) ((z)==0)
    #define __Pyx_c_conj_double(z)    (conj(z))
    #if 1
        #define __Pyx_c_abs_double(z)     (cabs(z))
        #define __Pyx_c_pow_double(a, b)  (cpow(a, b))
    #endif
 #endif
#else
    static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex, __pyx_t_double_complex);
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex, __pyx_t_double_complex);
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex, __pyx_t_double_complex);
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex, __pyx_t_double_complex);
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex, __pyx_t_double_complex);
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex);
    static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex);
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex);
    #if 1
        static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex);
        static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex, __pyx_t_double_complex);
    #endif
#endif

/* CIntToPy.proto */
static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value);

/* CIntFromPy.proto */
static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *);

/* CIntFromPy.proto */
static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *);

/* FastTypeChecks.proto */
#if CYTHON_COMPILING_IN_CPYTHON
#define __Pyx_TypeCheck(obj, type) __Pyx_IsSubtype(Py_TYPE(obj), (PyTypeObject *)type)
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject *type);
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *type1, PyObject *type2);
#else
#define __Pyx_TypeCheck(obj, type) PyObject_TypeCheck(obj, (PyTypeObject *)type)
#define __Pyx_PyErr_GivenExceptionMatches(err, type) PyErr_GivenExceptionMatches(err, type)
#define __Pyx_PyErr_GivenExceptionMatches2(err, type1, type2) (PyErr_GivenExceptionMatches(err, type1) || PyErr_GivenExceptionMatches(err, type2))
#endif
#define __Pyx_PyException_Check(obj) __Pyx_TypeCheck(obj, PyExc_Exception)

/* CheckBinaryVersion.proto */
static int __Pyx_check_binary_version(void);

/* PyIdentifierFromString.proto */
#if !defined(__Pyx_PyIdentifier_FromString)
#if PY_MAJOR_VERSION < 3
  #define __Pyx_PyIdentifier_FromString(s) PyString_FromString(s)
#else
  #define __Pyx_PyIdentifier_FromString(s) PyUnicode_FromString(s)
#endif
#endif

/* ModuleImport.proto */
static PyObject *__Pyx_ImportModule(const char *name);

/* TypeImport.proto */
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name, size_t size, int strict);

/* InitStrings.proto */
static int __Pyx_InitStrings(__Pyx_StringTabEntry *t);


/* Module declarations from 'cpython.buffer' */

/* Module declarations from 'libc.string' */

/* Module declarations from 'libc.stdio' */

/* Module declarations from '__builtin__' */

/* Module declarations from 'cpython.type' */
static PyTypeObject *__pyx_ptype_7cpython_4type_type = 0;

/* Module declarations from 'cpython' */

/* Module declarations from 'cpython.object' */

/* Module declarations from 'cpython.ref' */

/* Module declarations from 'cpython.mem' */

/* Module declarations from 'numpy' */

/* Module declarations from 'numpy' */
static PyTypeObject *__pyx_ptype_5numpy_dtype = 0;
static PyTypeObject *__pyx_ptype_5numpy_flatiter = 0;
static PyTypeObject *__pyx_ptype_5numpy_broadcast = 0;
static PyTypeObject *__pyx_ptype_5numpy_ndarray = 0;
static PyTypeObject *__pyx_ptype_5numpy_ufunc = 0;
static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *, char *, char *, int *); /*proto*/

/* Module declarations from 'pydbm.rnn.lstmmodel.conv_lstm_model' */
static __Pyx_TypeInfo __Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t = { "DOUBLE_t", NULL, sizeof(__pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t), { 0 }, 0, 'R', 0, 0 };
#define __Pyx_MODULE_NAME "pydbm.rnn.lstmmodel.conv_lstm_model"
extern int __pyx_module_is_main_pydbm__rnn__lstmmodel__conv_lstm_model;
int __pyx_module_is_main_pydbm__rnn__lstmmodel__conv_lstm_model = 0;

/* Implementation of 'pydbm.rnn.lstmmodel.conv_lstm_model' */
static PyObject *__pyx_builtin_property;
static PyObject *__pyx_builtin_TypeError;
static PyObject *__pyx_builtin_ValueError;
static PyObject *__pyx_builtin_round;
static PyObject *__pyx_builtin_range;
static PyObject *__pyx_builtin_sum;
static PyObject *__pyx_builtin_FloatingPointError;
static PyObject *__pyx_builtin_KeyboardInterrupt;
static PyObject *__pyx_builtin_reversed;
static PyObject *__pyx_builtin_RuntimeError;
static PyObject *__pyx_builtin_ImportError;
static const char __pyx_k_np[] = "np";
static const char __pyx_k_arr[] = "arr";
static const char __pyx_k_doc[] = "__doc__";
static const char __pyx_k_end[] = "end. ";
static const char __pyx_k_npz[] = ".npz";
static const char __pyx_k_pad[] = "pad";
static const char __pyx_k_pop[] = "pop";
static const char __pyx_k_sum[] = "sum";
static const char __pyx_k_tld[] = "tld";
static const char __pyx_k_tol[] = "tol";
static const char __pyx_k__125[] = "/";
static const char __pyx_k__126[] = "";
static const char __pyx_k__152[] = "_";
static const char __pyx_k_axis[] = "axis";
static const char __pyx_k_copy[] = "copy";
static const char __pyx_k_init[] = "__init__";
static const char __pyx_k_loss[] = "loss";
static const char __pyx_k_main[] = "__main__";
static const char __pyx_k_ndim[] = "ndim";
static const char __pyx_k_self[] = "self";
static const char __pyx_k_size[] = "size";
static const char __pyx_k_test[] = "__test__";
static const char __pyx_k_array[] = "array";
static const char __pyx_k_cycle[] = "cycle";
static const char __pyx_k_debug[] = "debug";
static const char __pyx_k_dtype[] = "dtype";
static const char __pyx_k_empty[] = "empty";
static const char __pyx_k_epoch[] = "epoch";
static const char __pyx_k_given[] = "given_";
static const char __pyx_k_graph[] = "graph";
static const char __pyx_k_input[] = "input_";
static const char __pyx_k_learn[] = "learn";
static const char __pyx_k_numpy[] = "numpy";
static const char __pyx_k_pydbm[] = "pydbm";
static const char __pyx_k_range[] = "range";
static const char __pyx_k_round[] = "round";
static const char __pyx_k_row_o[] = "row_o";
static const char __pyx_k_row_t[] = "row_t";
static const char __pyx_k_scale[] = "scale";
static const char __pyx_k_shape[] = "shape";
static const char __pyx_k_value[] = "value";
static const char __pyx_k_width[] = "width";
static const char __pyx_k_zeros[] = "zeros";
static const char __pyx_k_append[] = "append";
static const char __pyx_k_choice[] = "choice";
static const char __pyx_k_epochs[] = "epochs";
static const char __pyx_k_forgot[] = "forgot_";
static const char __pyx_k_height[] = "height";
static const char __pyx_k_import[] = "__import__";
static const char __pyx_k_logger[] = "logger";
static const char __pyx_k_module[] = "__module__";
static const char __pyx_k_nansum[] = "nansum";
static const char __pyx_k_output[] = "output_";
static const char __pyx_k_random[] = "random";
static const char __pyx_k_repeat[] = "repeat";
static const char __pyx_k_stride[] = "stride";
static const char __pyx_k_Synapse[] = "Synapse";
static const char __pyx_k_channel[] = "channel";
static const char __pyx_k_dropout[] = "dropout";
static const char __pyx_k_float64[] = "float64";
static const char __pyx_k_logging[] = "logging";
static const char __pyx_k_nanprod[] = "nanprod";
static const char __pyx_k_prepare[] = "__prepare__";
static const char __pyx_k_replace[] = "replace";
static const char __pyx_k_reshape[] = "reshape";
static const char __pyx_k_seq_len[] = "seq_len";
static const char __pyx_k_CNNGraph[] = "CNNGraph";
static const char __pyx_k_activate[] = "activate";
static const char __pyx_k_beta_arr[] = "beta_arr";
static const char __pyx_k_bias_arr[] = "bias_arr";
static const char __pyx_k_bp_count[] = "bp_count";
static const char __pyx_k_bptt_tau[] = "bptt_tau";
static const char __pyx_k_dir_name[] = "dir_name";
static const char __pyx_k_generate[] = "generate";
static const char __pyx_k_min_loss[] = "min_loss";
static const char __pyx_k_optimize[] = "optimize";
static const char __pyx_k_pred_arr[] = "pred_arr";
static const char __pyx_k_property[] = "property";
static const char __pyx_k_qualname[] = "__qualname__";
static const char __pyx_k_reversed[] = "reversed";
static const char __pyx_k_sample_n[] = "sample_n";
static const char __pyx_k_Interrupt[] = "Interrupt.";
static const char __pyx_k_OptParams[] = "OptParams";
static const char __pyx_k_TypeError[] = "TypeError";
static const char __pyx_k_cycle_len[] = "cycle_len";
static const char __pyx_k_delta_arr[] = "delta_arr";
static const char __pyx_k_file_name[] = "file_name";
static const char __pyx_k_gamma_arr[] = "gamma_arr";
static const char __pyx_k_getLogger[] = "getLogger";
static const char __pyx_k_get_graph[] = "get_graph";
static const char __pyx_k_inference[] = "inference";
static const char __pyx_k_loss_list[] = "loss_list";
static const char __pyx_k_metaclass[] = "__metaclass__";
static const char __pyx_k_set_graph[] = "set_graph";
static const char __pyx_k_test_loss[] = "test_loss";
static const char __pyx_k_GivenGraph[] = "GivenGraph";
static const char __pyx_k_InputGraph[] = "InputGraph";
static const char __pyx_k_ValueError[] = "ValueError";
static const char __pyx_k_batch_norm[] = "batch_norm";
static const char __pyx_k_batch_size[] = "batch_size";
static const char __pyx_k_de_dropout[] = "de_dropout";
static const char __pyx_k_derivative[] = "derivative";
static const char __pyx_k_filter_num[] = "filter_num";
static const char __pyx_k_given_conv[] = "given_conv";
static const char __pyx_k_grads_list[] = "grads_list";
static const char __pyx_k_input_conv[] = "input_conv";
static const char __pyx_k_opt_params[] = "opt_params";
static const char __pyx_k_rand_index[] = "rand_index";
static const char __pyx_k_target_arr[] = "target_arr";
static const char __pyx_k_test_index[] = "test_index";
static const char __pyx_k_verificate[] = "verificate";
static const char __pyx_k_weight_arr[] = "weight_arr";
static const char __pyx_k_zeros_like[] = "zeros_like";
static const char __pyx_k_ForgotGraph[] = "ForgotGraph";
static const char __pyx_k_ImportError[] = "ImportError";
static const char __pyx_k_OutputGraph[] = "OutputGraph";
static const char __pyx_k_batch_index[] = "batch_index";
static const char __pyx_k_delta_arr_2[] = "_delta_arr";
static const char __pyx_k_expand_dims[] = "expand_dims";
static const char __pyx_k_forgot_conv[] = "forgot_conv";
static const char __pyx_k_kernel_size[] = "kernel_size";
static const char __pyx_k_output_conv[] = "output_conv";
static const char __pyx_k_params_list[] = "params_list";
static const char __pyx_k_reset_delta[] = "reset_delta";
static const char __pyx_k_train_index[] = "train_index";
static const char __pyx_k_RuntimeError[] = "RuntimeError";
static const char __pyx_k_TanhFunction[] = "TanhFunction";
static const char __pyx_k_compute_loss[] = "compute_loss";
static const char __pyx_k_dropout_rate[] = "dropout_rate";
static const char __pyx_k_lstm_forward[] = "__lstm_forward";
static const char __pyx_k_observed_arr[] = "observed_arr";
static const char __pyx_k_test_penalty[] = "test_penalty";
static const char __pyx_k_ver_pred_arr[] = "ver_pred_arr";
static const char __pyx_k_ConvLSTMModel[] = "ConvLSTMModel";
static const char __pyx_k_Eary_stopping[] = "Eary stopping.";
static const char __pyx_k_compute_delta[] = "compute_delta";
static const char __pyx_k_delta_cec_arr[] = "delta_cec_arr";
static const char __pyx_k_delta_top_arr[] = "delta_top_arr";
static const char __pyx_k_learning_rate[] = "learning_rate";
static const char __pyx_k_lstm_backward[] = "lstm_backward";
static const char __pyx_k_remember_flag[] = "remember_flag";
static const char __pyx_k_test_pred_arr[] = "test_pred_arr";
static const char __pyx_k_train_penalty[] = "train_penalty";
static const char __pyx_k_ComputableLoss[] = "ComputableLoss";
static const char __pyx_k_back_propagate[] = "back_propagate";
static const char __pyx_k_delta_beta_arr[] = "delta_beta_arr";
static const char __pyx_k_delta_bias_arr[] = "delta_bias_arr";
static const char __pyx_k_eary_stop_flag[] = "eary_stop_flag";
static const char __pyx_k_get_given_conv[] = "get_given_conv";
static const char __pyx_k_get_input_conv[] = "get_input_conv";
static const char __pyx_k_get_opt_params[] = "get_opt_params";
static const char __pyx_k_set_given_conv[] = "set_given_conv";
static const char __pyx_k_set_input_conv[] = "set_input_conv";
static const char __pyx_k_set_opt_params[] = "set_opt_params";
static const char __pyx_k_test_label_arr[] = "test_label_arr";
static const char __pyx_k_test_size_rate[] = "test_size_rate";
static const char __pyx_k_train_pred_arr[] = "train_pred_arr";
static const char __pyx_k_attenuate_epoch[] = "attenuate_epoch";
static const char __pyx_k_computable_loss[] = "computable_loss";
static const char __pyx_k_conv_lstm_graph[] = "conv_lstm_graph";
static const char __pyx_k_delta_gamma_arr[] = "delta_gamma_arr";
static const char __pyx_k_delta_given_arr[] = "delta_given_arr";
static const char __pyx_k_get_forgot_conv[] = "get_forgot_conv";
static const char __pyx_k_get_output_conv[] = "get_output_conv";
static const char __pyx_k_learn_generated[] = "learn_generated";
static const char __pyx_k_pre_learned_dir[] = "pre_learned_dir";
static const char __pyx_k_set_forgot_conv[] = "set_forgot_conv";
static const char __pyx_k_set_output_conv[] = "set_output_conv";
static const char __pyx_k_test_target_arr[] = "test_target_arr";
static const char __pyx_k_train_label_arr[] = "train_label_arr";
static const char __pyx_k_ConvolutionLayer[] = "ConvolutionLayer";
static const char __pyx_k_FeatureGenerator[] = "FeatureGenerator";
static const char __pyx_k_LogisticFunction[] = "LogisticFunction";
static const char __pyx_k_back_propagation[] = "back_propagation";
static const char __pyx_k_batch_target_arr[] = "batch_target_arr";
static const char __pyx_k_best_params_list[] = "best_params_list";
static const char __pyx_k_cec_activity_arr[] = "cec_activity_arr";
static const char __pyx_k_constrain_weight[] = "constrain_weight";
static const char __pyx_k_delta_hidden_arr[] = "delta_hidden_arr";
static const char __pyx_k_delta_output_arr[] = "delta_output_arr";
static const char __pyx_k_delta_weight_arr[] = "delta_weight_arr";
static const char __pyx_k_inferencing_mode[] = "inferencing_mode";
static const char __pyx_k_train_target_arr[] = "train_target_arr";
static const char __pyx_k_KeyboardInterrupt[] = "KeyboardInterrupt";
static const char __pyx_k_delta_pre_rnn_arr[] = "delta_pre_rnn_arr";
static const char __pyx_k_feature_generator[] = "feature_generator";
static const char __pyx_k_forward_propagate[] = "forward_propagate";
static const char __pyx_k_test_observed_arr[] = "test_observed_arr";
static const char __pyx_k_test_weight_decay[] = "test_weight_decay";
static const char __pyx_k_weight_decay_term[] = "weight_decay_term";
static const char __pyx_k_ConvLSTMModel__tld[] = "_ConvLSTMModel__tld";
static const char __pyx_k_ConvLSTMModel__tol[] = "_ConvLSTMModel__tol";
static const char __pyx_k_FloatingPointError[] = "FloatingPointError";
static const char __pyx_k_batch_observed_arr[] = "batch_observed_arr";
static const char __pyx_k_cec_activity_arr_2[] = "_cec_activity_arr";
static const char __pyx_k_cline_in_traceback[] = "cline_in_traceback";
static const char __pyx_k_get_feature_points[] = "get_feature_points";
static const char __pyx_k_given_activity_arr[] = "given_activity_arr";
static const char __pyx_k_pydbm_synapse_list[] = "pydbm.synapse_list";
static const char __pyx_k_train_observed_arr[] = "train_observed_arr";
static const char __pyx_k_train_weight_decay[] = "train_weight_decay";
static const char __pyx_k_ConvLSTMModel_learn[] = "ConvLSTMModel.learn";
static const char __pyx_k_VerificatableResult[] = "VerificatableResult";
static const char __pyx_k_activation_function[] = "activation_function";
static const char __pyx_k_conv_lstm_graph_npz[] = "conv_lstm_graph.npz";
static const char __pyx_k_forward_propagation[] = "forward_propagation";
static const char __pyx_k_hidden_activity_arr[] = "hidden_activity_arr";
static const char __pyx_k_ConvLSTMModel___init[] = "ConvLSTMModel.__init__";
static const char __pyx_k_ConvLSTMModel__graph[] = "_ConvLSTMModel__graph";
static const char __pyx_k_ReconstructableModel[] = "ReconstructableModel";
static const char __pyx_k_compute_weight_decay[] = "compute_weight_decay";
static const char __pyx_k_delta_input_gate_arr[] = "delta_input_gate_arr";
static const char __pyx_k_delta_pre_hidden_arr[] = "delta_pre_hidden_arr";
static const char __pyx_k_pre_cec_activity_arr[] = "pre_cec_activity_arr";
static const char __pyx_k_remember_best_params[] = "__remember_best_params";
static const char __pyx_k_verificatable_result[] = "verificatable_result";
static const char __pyx_k_Best_params_are_saved[] = "Best params are saved.";
static const char __pyx_k_ConvLSTMModel__epochs[] = "_ConvLSTMModel__epochs";
static const char __pyx_k_ConvLSTMModel__logger[] = "_ConvLSTMModel__logger";
static const char __pyx_k_delta_forget_gate_arr[] = "delta_forget_gate_arr";
static const char __pyx_k_delta_output_gate_arr[] = "delta_output_gate_arr";
static const char __pyx_k_hidden_activity_arr_2[] = "_hidden_activity_arr";
static const char __pyx_k_hidden_back_propagate[] = "hidden_back_propagate";
static const char __pyx_k_output_back_propagate[] = "output_back_propagate";
static const char __pyx_k_test_batch_target_arr[] = "test_batch_target_arr";
static const char __pyx_k_ConvLSTMModel__channel[] = "_ConvLSTMModel__channel";
static const char __pyx_k_ConvLSTMModel__seq_len[] = "_ConvLSTMModel__seq_len";
static const char __pyx_k_ConvLSTMModel_optimize[] = "ConvLSTMModel.optimize";
static const char __pyx_k_Best_params_are_updated[] = "Best params are updated.";
static const char __pyx_k_ConvLSTMModel__bptt_tau[] = "_ConvLSTMModel__bptt_tau";
static const char __pyx_k_ConvLSTMModel_get_graph[] = "ConvLSTMModel.get_graph";
static const char __pyx_k_ConvLSTMModel_inference[] = "ConvLSTMModel.inference";
static const char __pyx_k_ConvLSTMModel_set_graph[] = "ConvLSTMModel.set_graph";
static const char __pyx_k_input_gate_activity_arr[] = "input_gate_activity_arr";
static const char __pyx_k_learning_attenuate_rate[] = "learning_attenuate_rate";
static const char __pyx_k_load_pre_learned_params[] = "load_pre_learned_params";
static const char __pyx_k_pydbm_synapse_cnn_graph[] = "pydbm.synapse.cnn_graph";
static const char __pyx_k_save_pre_learned_params[] = "save_pre_learned_params";
static const char __pyx_k_test_batch_observed_arr[] = "test_batch_observed_arr";
static const char __pyx_k_ConvLSTMModel__cycle_len[] = "_ConvLSTMModel__cycle_len";
static const char __pyx_k_forget_gate_activity_arr[] = "forget_gate_activity_arr";
static const char __pyx_k_get_verificatable_result[] = "get_verificatable_result";
static const char __pyx_k_hidden_forward_propagate[] = "hidden_forward_propagate";
static const char __pyx_k_output_forward_propagate[] = "output_forward_propagate";
static const char __pyx_k_output_gate_activity_arr[] = "output_gate_activity_arr";
static const char __pyx_k_set_verificatable_result[] = "set_verificatable_result";
static const char __pyx_k_ConvLSTMModel__batch_size[] = "_ConvLSTMModel__batch_size";
static const char __pyx_k_ConvLSTMModel__filter_num[] = "_ConvLSTMModel__filter_num";
static const char __pyx_k_ConvLSTMModel__given_conv[] = "_ConvLSTMModel__given_conv";
static const char __pyx_k_ConvLSTMModel__input_conv[] = "_ConvLSTMModel__input_conv";
static const char __pyx_k_ConvLSTMModel__opt_params[] = "_ConvLSTMModel__opt_params";
static const char __pyx_k_conv_lstm_given_graph_npz[] = "conv_lstm_given_graph.npz";
static const char __pyx_k_conv_lstm_input_graph_npz[] = "conv_lstm_input_graph.npz";
static const char __pyx_k_ConvLSTMModel__forgot_conv[] = "_ConvLSTMModel__forgot_conv";
static const char __pyx_k_ConvLSTMModel__latest_loss[] = "_ConvLSTMModel__latest_loss";
static const char __pyx_k_ConvLSTMModel__output_conv[] = "_ConvLSTMModel__output_conv";
static const char __pyx_k_compute_weight_decay_delta[] = "compute_weight_decay_delta";
static const char __pyx_k_conv_lstm_forgot_graph_npz[] = "conv_lstm_forgot_graph.npz";
static const char __pyx_k_conv_lstm_output_graph_npz[] = "conv_lstm_output_graph.npz";
static const char __pyx_k_hidden_activating_function[] = "hidden_activating_function";
static const char __pyx_k_ConvLSTMModel__dropout_rate[] = "_ConvLSTMModel__dropout_rate";
static const char __pyx_k_ConvLSTMModel__hidden_shape[] = "_ConvLSTMModel__hidden_shape";
static const char __pyx_k_ConvLSTMModel__lstm_forward[] = "_ConvLSTMModel__lstm_forward";
static const char __pyx_k_ConvLSTMModel_lstm_backward[] = "ConvLSTMModel.lstm_backward";
static const char __pyx_k_ndarray_is_not_C_contiguous[] = "ndarray is not C contiguous";
static const char __pyx_k_pydbm_cnn_feature_generator[] = "pydbm.cnn.feature_generator";
static const char __pyx_k_ConvLSTMModel___lstm_forward[] = "ConvLSTMModel.__lstm_forward";
static const char __pyx_k_ConvLSTMModel__learning_rate[] = "_ConvLSTMModel__learning_rate";
static const char __pyx_k_ConvLSTMModel_get_given_conv[] = "ConvLSTMModel.get_given_conv";
static const char __pyx_k_ConvLSTMModel_get_input_conv[] = "ConvLSTMModel.get_input_conv";
static const char __pyx_k_ConvLSTMModel_get_opt_params[] = "ConvLSTMModel.get_opt_params";
static const char __pyx_k_ConvLSTMModel_set_given_conv[] = "ConvLSTMModel.set_given_conv";
static const char __pyx_k_ConvLSTMModel_set_input_conv[] = "ConvLSTMModel.set_input_conv";
static const char __pyx_k_ConvLSTMModel_set_opt_params[] = "ConvLSTMModel.set_opt_params";
static const char __pyx_k_ConvLSTMModel__test_size_rate[] = "_ConvLSTMModel__test_size_rate";
static const char __pyx_k_ConvLSTMModel_get_forgot_conv[] = "ConvLSTMModel.get_forgot_conv";
static const char __pyx_k_ConvLSTMModel_get_output_conv[] = "ConvLSTMModel.get_output_conv";
static const char __pyx_k_ConvLSTMModel_learn_generated[] = "ConvLSTMModel.learn_generated";
static const char __pyx_k_ConvLSTMModel_set_forgot_conv[] = "ConvLSTMModel.set_forgot_conv";
static const char __pyx_k_ConvLSTMModel_set_output_conv[] = "ConvLSTMModel.set_output_conv";
static const char __pyx_k_pydbm_optimization_opt_params[] = "pydbm.optimization.opt_params";
static const char __pyx_k_ConvLSTMModel__attenuate_epoch[] = "_ConvLSTMModel__attenuate_epoch";
static const char __pyx_k_ConvLSTMModel__computable_loss[] = "_ConvLSTMModel__computable_loss";
static const char __pyx_k_ConvLSTMModel_back_propagation[] = "ConvLSTMModel.back_propagation";
static const char __pyx_k_pydbm_activation_tanh_function[] = "pydbm.activation.tanh_function";
static const char __pyx_k_ConvLSTMModel__learned_params_l[] = "_ConvLSTMModel__learned_params_list";
static const char __pyx_k_ConvLSTMModel__learning_attenua[] = "_ConvLSTMModel__learning_attenuate_rate";
static const char __pyx_k_ConvLSTMModel__memory_tuple_lis[] = "_ConvLSTMModel__memory_tuple_list";
static const char __pyx_k_ConvLSTMModel__remember_best_pa[] = "_ConvLSTMModel__remember_best_params";
static const char __pyx_k_ConvLSTMModel__verificatable_re[] = "_ConvLSTMModel__verificatable_result";
static const char __pyx_k_ConvLSTMModel_get_verificatable[] = "ConvLSTMModel.get_verificatable_result";
static const char __pyx_k_ConvLSTMModel_set_verificatable[] = "ConvLSTMModel.set_verificatable_result";
static const char __pyx_k_Convolutional_LSTM_ConvLSTM_Con[] = "\n    Convolutional LSTM(ConvLSTM).\n    \n    Convolutional LSTM(ConvLSTM)(Xingjian, S. H. I. et al., 2015), \n    which is a model that structurally couples convolution operators \n    to LSTM networks, can be utilized as components in constructing \n    the Encoder/Decoder. The ConvLSTM is suitable for spatio-temporal data \n    due to its inherent convolutional structure.\n    \n    References:\n        - https://github.com/chimera0/accel-brain-code/blob/master/Deep-Learning-by-means-of-Design-Pattern/demo/demo_conv_lstm.ipynb\n        - Xingjian, S. H. I., Chen, Z., Wang, H., Yeung, D. Y., Wong, W. K., & Woo, W. C. (2015). Convolutional LSTM network: A machine learning approach for precipitation nowcasting. In Advances in neural information processing systems (pp. 802-810)\n    ";
static const char __pyx_k_numpy_core_multiarray_failed_to[] = "numpy.core.multiarray failed to import";
static const char __pyx_k_pydbm_loss_interface_computable[] = "pydbm.loss.interface.computable_loss";
static const char __pyx_k_unknown_dtype_code_in_numpy_pxd[] = "unknown dtype code in numpy.pxd (%d)";
static const char __pyx_k_ConvLSTMModel___remember_best_pa[] = "ConvLSTMModel.__remember_best_params";
static const char __pyx_k_ConvLSTMModel_forward_propagatio[] = "ConvLSTMModel.forward_propagation";
static const char __pyx_k_ConvLSTMModel_get_feature_points[] = "ConvLSTMModel.get_feature_points";
static const char __pyx_k_ConvLSTMModel_hidden_back_propag[] = "ConvLSTMModel.hidden_back_propagate";
static const char __pyx_k_ConvLSTMModel_hidden_forward_pro[] = "ConvLSTMModel.hidden_forward_propagate";
static const char __pyx_k_ConvLSTMModel_load_pre_learned_p[] = "ConvLSTMModel.load_pre_learned_params";
static const char __pyx_k_ConvLSTMModel_output_back_propag[] = "ConvLSTMModel.output_back_propagate";
static const char __pyx_k_ConvLSTMModel_output_forward_pro[] = "ConvLSTMModel.output_forward_propagate";
static const char __pyx_k_ConvLSTMModel_save_pre_learned_p[] = "ConvLSTMModel.save_pre_learned_params";
static const char __pyx_k_Format_string_allocated_too_shor[] = "Format string allocated too short, see comment in numpy.pxd";
static const char __pyx_k_Non_native_byte_order_not_suppor[] = "Non-native byte order not supported";
static const char __pyx_k_The_row_of_target_arr_must_be_eq[] = "The row of `target_arr` must be equivalent to the row of `observed_arr`.";
static const char __pyx_k_The_type_of_feature_generator_mu[] = "The type of `feature_generator` must be `FeatureGenerator`.";
static const char __pyx_k_Underflow_occurred_when_the_para[] = "Underflow occurred when the parameters are being updated. Because of early stopping, this error is catched and the parameter is not updated.";
static const char __pyx_k_ndarray_is_not_Fortran_contiguou[] = "ndarray is not Fortran contiguous";
static const char __pyx_k_numpy_core_umath_failed_to_impor[] = "numpy.core.umath failed to import";
static const char __pyx_k_pydbm_activation_logistic_functi[] = "pydbm.activation.logistic_function";
static const char __pyx_k_pydbm_cnn_layerablecnn_convoluti[] = "pydbm.cnn.layerablecnn.convolution_layer";
static const char __pyx_k_pydbm_rnn_interface_reconstructa[] = "pydbm.rnn.interface.reconstructable_model";
static const char __pyx_k_pydbm_rnn_lstm_model_learn_is_st[] = "pydbm.rnn.lstm_model.learn is started. ";
static const char __pyx_k_pydbm_rnn_lstmmodel_conv_lstm_mo[] = "pydbm.rnn.lstmmodel.conv_lstm_model";
static const char __pyx_k_pydbm_verification_interface_ver[] = "pydbm.verification.interface.verificatable_result";
static const char __pyx_k_Format_string_allocated_too_shor_2[] = "Format string allocated too short.";
static const char __pyx_k_pydbm_rnn_lstmmodel_conv_lstm_mo_2[] = "pydbm/rnn/lstmmodel/conv_lstm_model.pyx";
static PyObject *__pyx_kp_s_Best_params_are_saved;
static PyObject *__pyx_kp_s_Best_params_are_updated;
static PyObject *__pyx_n_s_CNNGraph;
static PyObject *__pyx_n_s_ComputableLoss;
static PyObject *__pyx_n_s_ConvLSTMModel;
static PyObject *__pyx_n_s_ConvLSTMModel___init;
static PyObject *__pyx_n_s_ConvLSTMModel___lstm_forward;
static PyObject *__pyx_n_s_ConvLSTMModel___remember_best_pa;
static PyObject *__pyx_n_s_ConvLSTMModel__attenuate_epoch;
static PyObject *__pyx_n_s_ConvLSTMModel__batch_size;
static PyObject *__pyx_n_s_ConvLSTMModel__bptt_tau;
static PyObject *__pyx_n_s_ConvLSTMModel__channel;
static PyObject *__pyx_n_s_ConvLSTMModel__computable_loss;
static PyObject *__pyx_n_s_ConvLSTMModel__cycle_len;
static PyObject *__pyx_n_s_ConvLSTMModel__dropout_rate;
static PyObject *__pyx_n_s_ConvLSTMModel__epochs;
static PyObject *__pyx_n_s_ConvLSTMModel__filter_num;
static PyObject *__pyx_n_s_ConvLSTMModel__forgot_conv;
static PyObject *__pyx_n_s_ConvLSTMModel__given_conv;
static PyObject *__pyx_n_s_ConvLSTMModel__graph;
static PyObject *__pyx_n_s_ConvLSTMModel__hidden_shape;
static PyObject *__pyx_n_s_ConvLSTMModel__input_conv;
static PyObject *__pyx_n_s_ConvLSTMModel__latest_loss;
static PyObject *__pyx_n_s_ConvLSTMModel__learned_params_l;
static PyObject *__pyx_n_s_ConvLSTMModel__learning_attenua;
static PyObject *__pyx_n_s_ConvLSTMModel__learning_rate;
static PyObject *__pyx_n_s_ConvLSTMModel__logger;
static PyObject *__pyx_n_s_ConvLSTMModel__lstm_forward;
static PyObject *__pyx_n_s_ConvLSTMModel__memory_tuple_lis;
static PyObject *__pyx_n_s_ConvLSTMModel__opt_params;
static PyObject *__pyx_n_s_ConvLSTMModel__output_conv;
static PyObject *__pyx_n_s_ConvLSTMModel__remember_best_pa;
static PyObject *__pyx_n_s_ConvLSTMModel__seq_len;
static PyObject *__pyx_n_s_ConvLSTMModel__test_size_rate;
static PyObject *__pyx_n_s_ConvLSTMModel__tld;
static PyObject *__pyx_n_s_ConvLSTMModel__tol;
static PyObject *__pyx_n_s_ConvLSTMModel__verificatable_re;
static PyObject *__pyx_n_s_ConvLSTMModel_back_propagation;
static PyObject *__pyx_n_s_ConvLSTMModel_forward_propagatio;
static PyObject *__pyx_n_s_ConvLSTMModel_get_feature_points;
static PyObject *__pyx_n_s_ConvLSTMModel_get_forgot_conv;
static PyObject *__pyx_n_s_ConvLSTMModel_get_given_conv;
static PyObject *__pyx_n_s_ConvLSTMModel_get_graph;
static PyObject *__pyx_n_s_ConvLSTMModel_get_input_conv;
static PyObject *__pyx_n_s_ConvLSTMModel_get_opt_params;
static PyObject *__pyx_n_s_ConvLSTMModel_get_output_conv;
static PyObject *__pyx_n_s_ConvLSTMModel_get_verificatable;
static PyObject *__pyx_n_s_ConvLSTMModel_hidden_back_propag;
static PyObject *__pyx_n_s_ConvLSTMModel_hidden_forward_pro;
static PyObject *__pyx_n_s_ConvLSTMModel_inference;
static PyObject *__pyx_n_s_ConvLSTMModel_learn;
static PyObject *__pyx_n_s_ConvLSTMModel_learn_generated;
static PyObject *__pyx_n_s_ConvLSTMModel_load_pre_learned_p;
static PyObject *__pyx_n_s_ConvLSTMModel_lstm_backward;
static PyObject *__pyx_n_s_ConvLSTMModel_optimize;
static PyObject *__pyx_n_s_ConvLSTMModel_output_back_propag;
static PyObject *__pyx_n_s_ConvLSTMModel_output_forward_pro;
static PyObject *__pyx_n_s_ConvLSTMModel_save_pre_learned_p;
static PyObject *__pyx_n_s_ConvLSTMModel_set_forgot_conv;
static PyObject *__pyx_n_s_ConvLSTMModel_set_given_conv;
static PyObject *__pyx_n_s_ConvLSTMModel_set_graph;
static PyObject *__pyx_n_s_ConvLSTMModel_set_input_conv;
static PyObject *__pyx_n_s_ConvLSTMModel_set_opt_params;
static PyObject *__pyx_n_s_ConvLSTMModel_set_output_conv;
static PyObject *__pyx_n_s_ConvLSTMModel_set_verificatable;
static PyObject *__pyx_n_s_ConvolutionLayer;
static PyObject *__pyx_kp_s_Convolutional_LSTM_ConvLSTM_Con;
static PyObject *__pyx_kp_s_Eary_stopping;
static PyObject *__pyx_n_s_FeatureGenerator;
static PyObject *__pyx_n_s_FloatingPointError;
static PyObject *__pyx_n_s_ForgotGraph;
static PyObject *__pyx_kp_u_Format_string_allocated_too_shor;
static PyObject *__pyx_kp_u_Format_string_allocated_too_shor_2;
static PyObject *__pyx_n_s_GivenGraph;
static PyObject *__pyx_n_s_ImportError;
static PyObject *__pyx_n_s_InputGraph;
static PyObject *__pyx_kp_s_Interrupt;
static PyObject *__pyx_n_s_KeyboardInterrupt;
static PyObject *__pyx_n_s_LogisticFunction;
static PyObject *__pyx_kp_u_Non_native_byte_order_not_suppor;
static PyObject *__pyx_n_s_OptParams;
static PyObject *__pyx_n_s_OutputGraph;
static PyObject *__pyx_n_s_ReconstructableModel;
static PyObject *__pyx_n_s_RuntimeError;
static PyObject *__pyx_n_s_Synapse;
static PyObject *__pyx_n_s_TanhFunction;
static PyObject *__pyx_kp_s_The_row_of_target_arr_must_be_eq;
static PyObject *__pyx_kp_s_The_type_of_feature_generator_mu;
static PyObject *__pyx_n_s_TypeError;
static PyObject *__pyx_kp_s_Underflow_occurred_when_the_para;
static PyObject *__pyx_n_s_ValueError;
static PyObject *__pyx_n_s_VerificatableResult;
static PyObject *__pyx_kp_s__125;
static PyObject *__pyx_kp_s__126;
static PyObject *__pyx_n_s__152;
static PyObject *__pyx_n_s_activate;
static PyObject *__pyx_n_s_activation_function;
static PyObject *__pyx_n_s_append;
static PyObject *__pyx_n_s_arr;
static PyObject *__pyx_n_s_array;
static PyObject *__pyx_n_s_attenuate_epoch;
static PyObject *__pyx_n_s_axis;
static PyObject *__pyx_n_s_back_propagate;
static PyObject *__pyx_n_s_back_propagation;
static PyObject *__pyx_n_s_batch_index;
static PyObject *__pyx_n_s_batch_norm;
static PyObject *__pyx_n_s_batch_observed_arr;
static PyObject *__pyx_n_s_batch_size;
static PyObject *__pyx_n_s_batch_target_arr;
static PyObject *__pyx_n_s_best_params_list;
static PyObject *__pyx_n_s_beta_arr;
static PyObject *__pyx_n_s_bias_arr;
static PyObject *__pyx_n_s_bp_count;
static PyObject *__pyx_n_s_bptt_tau;
static PyObject *__pyx_n_s_cec_activity_arr;
static PyObject *__pyx_n_s_cec_activity_arr_2;
static PyObject *__pyx_n_s_channel;
static PyObject *__pyx_n_s_choice;
static PyObject *__pyx_n_s_cline_in_traceback;
static PyObject *__pyx_n_s_computable_loss;
static PyObject *__pyx_n_s_compute_delta;
static PyObject *__pyx_n_s_compute_loss;
static PyObject *__pyx_n_s_compute_weight_decay;
static PyObject *__pyx_n_s_compute_weight_decay_delta;
static PyObject *__pyx_n_s_constrain_weight;
static PyObject *__pyx_kp_s_conv_lstm_forgot_graph_npz;
static PyObject *__pyx_kp_s_conv_lstm_given_graph_npz;
static PyObject *__pyx_n_s_conv_lstm_graph;
static PyObject *__pyx_kp_s_conv_lstm_graph_npz;
static PyObject *__pyx_kp_s_conv_lstm_input_graph_npz;
static PyObject *__pyx_kp_s_conv_lstm_output_graph_npz;
static PyObject *__pyx_n_s_copy;
static PyObject *__pyx_n_s_cycle;
static PyObject *__pyx_n_s_cycle_len;
static PyObject *__pyx_n_s_de_dropout;
static PyObject *__pyx_n_s_debug;
static PyObject *__pyx_n_s_delta_arr;
static PyObject *__pyx_n_s_delta_arr_2;
static PyObject *__pyx_n_s_delta_beta_arr;
static PyObject *__pyx_n_s_delta_bias_arr;
static PyObject *__pyx_n_s_delta_cec_arr;
static PyObject *__pyx_n_s_delta_forget_gate_arr;
static PyObject *__pyx_n_s_delta_gamma_arr;
static PyObject *__pyx_n_s_delta_given_arr;
static PyObject *__pyx_n_s_delta_hidden_arr;
static PyObject *__pyx_n_s_delta_input_gate_arr;
static PyObject *__pyx_n_s_delta_output_arr;
static PyObject *__pyx_n_s_delta_output_gate_arr;
static PyObject *__pyx_n_s_delta_pre_hidden_arr;
static PyObject *__pyx_n_s_delta_pre_rnn_arr;
static PyObject *__pyx_n_s_delta_top_arr;
static PyObject *__pyx_n_s_delta_weight_arr;
static PyObject *__pyx_n_s_derivative;
static PyObject *__pyx_n_s_dir_name;
static PyObject *__pyx_n_s_doc;
static PyObject *__pyx_n_s_dropout;
static PyObject *__pyx_n_s_dropout_rate;
static PyObject *__pyx_n_s_dtype;
static PyObject *__pyx_n_s_eary_stop_flag;
static PyObject *__pyx_n_s_empty;
static PyObject *__pyx_kp_s_end;
static PyObject *__pyx_n_s_epoch;
static PyObject *__pyx_n_s_epochs;
static PyObject *__pyx_n_s_expand_dims;
static PyObject *__pyx_n_s_feature_generator;
static PyObject *__pyx_n_s_file_name;
static PyObject *__pyx_n_s_filter_num;
static PyObject *__pyx_n_s_float64;
static PyObject *__pyx_n_s_forget_gate_activity_arr;
static PyObject *__pyx_n_s_forgot;
static PyObject *__pyx_n_s_forgot_conv;
static PyObject *__pyx_n_s_forward_propagate;
static PyObject *__pyx_n_s_forward_propagation;
static PyObject *__pyx_n_s_gamma_arr;
static PyObject *__pyx_n_s_generate;
static PyObject *__pyx_n_s_getLogger;
static PyObject *__pyx_n_s_get_feature_points;
static PyObject *__pyx_n_s_get_forgot_conv;
static PyObject *__pyx_n_s_get_given_conv;
static PyObject *__pyx_n_s_get_graph;
static PyObject *__pyx_n_s_get_input_conv;
static PyObject *__pyx_n_s_get_opt_params;
static PyObject *__pyx_n_s_get_output_conv;
static PyObject *__pyx_n_s_get_verificatable_result;
static PyObject *__pyx_n_s_given;
static PyObject *__pyx_n_s_given_activity_arr;
static PyObject *__pyx_n_s_given_conv;
static PyObject *__pyx_n_s_grads_list;
static PyObject *__pyx_n_s_graph;
static PyObject *__pyx_n_s_height;
static PyObject *__pyx_n_s_hidden_activating_function;
static PyObject *__pyx_n_s_hidden_activity_arr;
static PyObject *__pyx_n_s_hidden_activity_arr_2;
static PyObject *__pyx_n_s_hidden_back_propagate;
static PyObject *__pyx_n_s_hidden_forward_propagate;
static PyObject *__pyx_n_s_import;
static PyObject *__pyx_n_s_inference;
static PyObject *__pyx_n_s_inferencing_mode;
static PyObject *__pyx_n_s_init;
static PyObject *__pyx_n_s_input;
static PyObject *__pyx_n_s_input_conv;
static PyObject *__pyx_n_s_input_gate_activity_arr;
static PyObject *__pyx_n_s_kernel_size;
static PyObject *__pyx_n_s_learn;
static PyObject *__pyx_n_s_learn_generated;
static PyObject *__pyx_n_s_learning_attenuate_rate;
static PyObject *__pyx_n_s_learning_rate;
static PyObject *__pyx_n_s_load_pre_learned_params;
static PyObject *__pyx_n_s_logger;
static PyObject *__pyx_n_s_logging;
static PyObject *__pyx_n_s_loss;
static PyObject *__pyx_n_s_loss_list;
static PyObject *__pyx_n_s_lstm_backward;
static PyObject *__pyx_n_s_lstm_forward;
static PyObject *__pyx_n_s_main;
static PyObject *__pyx_n_s_metaclass;
static PyObject *__pyx_n_s_min_loss;
static PyObject *__pyx_n_s_module;
static PyObject *__pyx_n_s_nanprod;
static PyObject *__pyx_n_s_nansum;
static PyObject *__pyx_kp_u_ndarray_is_not_C_contiguous;
static PyObject *__pyx_kp_u_ndarray_is_not_Fortran_contiguou;
static PyObject *__pyx_n_s_ndim;
static PyObject *__pyx_n_s_np;
static PyObject *__pyx_kp_s_npz;
static PyObject *__pyx_n_s_numpy;
static PyObject *__pyx_kp_s_numpy_core_multiarray_failed_to;
static PyObject *__pyx_kp_s_numpy_core_umath_failed_to_impor;
static PyObject *__pyx_n_s_observed_arr;
static PyObject *__pyx_n_s_opt_params;
static PyObject *__pyx_n_s_optimize;
static PyObject *__pyx_n_s_output;
static PyObject *__pyx_n_s_output_back_propagate;
static PyObject *__pyx_n_s_output_conv;
static PyObject *__pyx_n_s_output_forward_propagate;
static PyObject *__pyx_n_s_output_gate_activity_arr;
static PyObject *__pyx_n_s_pad;
static PyObject *__pyx_n_s_params_list;
static PyObject *__pyx_n_s_pop;
static PyObject *__pyx_n_s_pre_cec_activity_arr;
static PyObject *__pyx_n_s_pre_learned_dir;
static PyObject *__pyx_n_s_pred_arr;
static PyObject *__pyx_n_s_prepare;
static PyObject *__pyx_n_s_property;
static PyObject *__pyx_n_s_pydbm;
static PyObject *__pyx_n_s_pydbm_activation_logistic_functi;
static PyObject *__pyx_n_s_pydbm_activation_tanh_function;
static PyObject *__pyx_n_s_pydbm_cnn_feature_generator;
static PyObject *__pyx_n_s_pydbm_cnn_layerablecnn_convoluti;
static PyObject *__pyx_n_s_pydbm_loss_interface_computable;
static PyObject *__pyx_n_s_pydbm_optimization_opt_params;
static PyObject *__pyx_n_s_pydbm_rnn_interface_reconstructa;
static PyObject *__pyx_kp_s_pydbm_rnn_lstm_model_learn_is_st;
static PyObject *__pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo;
static PyObject *__pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2;
static PyObject *__pyx_n_s_pydbm_synapse_cnn_graph;
static PyObject *__pyx_n_s_pydbm_synapse_list;
static PyObject *__pyx_n_s_pydbm_verification_interface_ver;
static PyObject *__pyx_n_s_qualname;
static PyObject *__pyx_n_s_rand_index;
static PyObject *__pyx_n_s_random;
static PyObject *__pyx_n_s_range;
static PyObject *__pyx_n_s_remember_best_params;
static PyObject *__pyx_n_s_remember_flag;
static PyObject *__pyx_n_s_repeat;
static PyObject *__pyx_n_s_replace;
static PyObject *__pyx_n_s_reset_delta;
static PyObject *__pyx_n_s_reshape;
static PyObject *__pyx_n_s_reversed;
static PyObject *__pyx_n_s_round;
static PyObject *__pyx_n_s_row_o;
static PyObject *__pyx_n_s_row_t;
static PyObject *__pyx_n_s_sample_n;
static PyObject *__pyx_n_s_save_pre_learned_params;
static PyObject *__pyx_n_s_scale;
static PyObject *__pyx_n_s_self;
static PyObject *__pyx_n_s_seq_len;
static PyObject *__pyx_n_s_set_forgot_conv;
static PyObject *__pyx_n_s_set_given_conv;
static PyObject *__pyx_n_s_set_graph;
static PyObject *__pyx_n_s_set_input_conv;
static PyObject *__pyx_n_s_set_opt_params;
static PyObject *__pyx_n_s_set_output_conv;
static PyObject *__pyx_n_s_set_verificatable_result;
static PyObject *__pyx_n_s_shape;
static PyObject *__pyx_n_s_size;
static PyObject *__pyx_n_s_stride;
static PyObject *__pyx_n_s_sum;
static PyObject *__pyx_n_s_target_arr;
static PyObject *__pyx_n_s_test;
static PyObject *__pyx_n_s_test_batch_observed_arr;
static PyObject *__pyx_n_s_test_batch_target_arr;
static PyObject *__pyx_n_s_test_index;
static PyObject *__pyx_n_s_test_label_arr;
static PyObject *__pyx_n_s_test_loss;
static PyObject *__pyx_n_s_test_observed_arr;
static PyObject *__pyx_n_s_test_penalty;
static PyObject *__pyx_n_s_test_pred_arr;
static PyObject *__pyx_n_s_test_size_rate;
static PyObject *__pyx_n_s_test_target_arr;
static PyObject *__pyx_n_s_test_weight_decay;
static PyObject *__pyx_n_s_tld;
static PyObject *__pyx_n_s_tol;
static PyObject *__pyx_n_s_train_index;
static PyObject *__pyx_n_s_train_label_arr;
static PyObject *__pyx_n_s_train_observed_arr;
static PyObject *__pyx_n_s_train_penalty;
static PyObject *__pyx_n_s_train_pred_arr;
static PyObject *__pyx_n_s_train_target_arr;
static PyObject *__pyx_n_s_train_weight_decay;
static PyObject *__pyx_kp_u_unknown_dtype_code_in_numpy_pxd;
static PyObject *__pyx_n_s_value;
static PyObject *__pyx_n_s_ver_pred_arr;
static PyObject *__pyx_n_s_verificatable_result;
static PyObject *__pyx_n_s_verificate;
static PyObject *__pyx_n_s_weight_arr;
static PyObject *__pyx_n_s_weight_decay_term;
static PyObject *__pyx_n_s_width;
static PyObject *__pyx_n_s_zeros;
static PyObject *__pyx_n_s_zeros_like;
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_get_graph(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_2set_graph(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_4__init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_graph, int __pyx_v_epochs, int __pyx_v_batch_size, double __pyx_v_learning_rate, double __pyx_v_learning_attenuate_rate, int __pyx_v_attenuate_epoch, PyObject *__pyx_v_given_conv, PyObject *__pyx_v_input_conv, PyObject *__pyx_v_forgot_conv, PyObject *__pyx_v_output_conv, int __pyx_v_filter_num, int __pyx_v_channel, int __pyx_v_kernel_size, double __pyx_v_scale, int __pyx_v_stride, int __pyx_v_pad, int __pyx_v_seq_len, int __pyx_v_bptt_tau, double __pyx_v_test_size_rate, PyObject *__pyx_v_computable_loss, PyObject *__pyx_v_opt_params, PyObject *__pyx_v_verificatable_result, PyObject *__pyx_v_tol, PyObject *__pyx_v_tld, PyObject *__pyx_v_pre_learned_dir); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model___defaults__(CYTHON_UNUSED PyObject *__pyx_self); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_6learn(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_observed_arr, PyArrayObject *__pyx_v_target_arr); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_8learn_generated(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_feature_generator); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_10__remember_best_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_best_params_list); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_12forward_propagation(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_batch_observed_arr); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_14back_propagation(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_pred_arr, PyArrayObject *__pyx_v_delta_arr); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_16optimize(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_grads_list, double __pyx_v_learning_rate, int __pyx_v_epoch); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_18inference(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_observed_arr, PyArrayObject *__pyx_v_hidden_activity_arr, PyArrayObject *__pyx_v_cec_activity_arr); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_20get_feature_points(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_22hidden_forward_propagate(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_observed_arr); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_24output_forward_propagate(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_self, PyArrayObject *__pyx_v_pred_arr); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_26output_back_propagate(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_self, CYTHON_UNUSED PyArrayObject *__pyx_v_pred_arr, PyArrayObject *__pyx_v_delta_arr); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_28hidden_back_propagate(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_delta_output_arr); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_30__lstm_forward(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_observed_arr, PyArrayObject *__pyx_v_hidden_activity_arr, PyArrayObject *__pyx_v_cec_activity_arr); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_32lstm_backward(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_delta_hidden_arr, PyArrayObject *__pyx_v_delta_cec_arr, int __pyx_v_cycle); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_34save_pre_learned_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_dir_name, PyObject *__pyx_v_file_name); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_36load_pre_learned_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_dir_name, PyObject *__pyx_v_file_name); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_38get_verificatable_result(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_40set_verificatable_result(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_42get_opt_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_44set_opt_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_46get_given_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_48set_given_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_50get_input_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_52set_input_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_54get_forgot_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_56set_forgot_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_58get_output_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self); /* proto */
static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_60set_output_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value); /* proto */
static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /* proto */
static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info); /* proto */
static PyObject *__pyx_float_0_0;
static PyObject *__pyx_float_0_7;
static PyObject *__pyx_float_100_0;
static PyObject *__pyx_float_1eneg_04;
static PyObject *__pyx_int_0;
static PyObject *__pyx_int_1;
static PyObject *__pyx_int_neg_1;
static PyObject *__pyx_tuple_;
static PyObject *__pyx_slice__4;
static PyObject *__pyx_slice__6;
static PyObject *__pyx_slice__8;
static PyObject *__pyx_tuple__2;
static PyObject *__pyx_tuple__3;
static PyObject *__pyx_tuple__5;
static PyObject *__pyx_tuple__7;
static PyObject *__pyx_tuple__9;
static PyObject *__pyx_slice__10;
static PyObject *__pyx_slice__12;
static PyObject *__pyx_slice__14;
static PyObject *__pyx_slice__16;
static PyObject *__pyx_slice__18;
static PyObject *__pyx_slice__20;
static PyObject *__pyx_slice__22;
static PyObject *__pyx_slice__24;
static PyObject *__pyx_slice__26;
static PyObject *__pyx_slice__30;
static PyObject *__pyx_slice__32;
static PyObject *__pyx_slice__34;
static PyObject *__pyx_slice__36;
static PyObject *__pyx_slice__38;
static PyObject *__pyx_slice__40;
static PyObject *__pyx_slice__42;
static PyObject *__pyx_slice__44;
static PyObject *__pyx_slice__46;
static PyObject *__pyx_slice__48;
static PyObject *__pyx_slice__50;
static PyObject *__pyx_slice__52;
static PyObject *__pyx_slice__58;
static PyObject *__pyx_slice__60;
static PyObject *__pyx_slice__62;
static PyObject *__pyx_slice__64;
static PyObject *__pyx_slice__66;
static PyObject *__pyx_slice__68;
static PyObject *__pyx_slice__70;
static PyObject *__pyx_slice__72;
static PyObject *__pyx_slice__74;
static PyObject *__pyx_slice__76;
static PyObject *__pyx_slice__78;
static PyObject *__pyx_slice__80;
static PyObject *__pyx_slice__84;
static PyObject *__pyx_slice__86;
static PyObject *__pyx_slice__88;
static PyObject *__pyx_slice__90;
static PyObject *__pyx_slice__92;
static PyObject *__pyx_slice__94;
static PyObject *__pyx_slice__96;
static PyObject *__pyx_slice__98;
static PyObject *__pyx_tuple__11;
static PyObject *__pyx_tuple__13;
static PyObject *__pyx_tuple__15;
static PyObject *__pyx_tuple__17;
static PyObject *__pyx_tuple__19;
static PyObject *__pyx_tuple__21;
static PyObject *__pyx_tuple__23;
static PyObject *__pyx_tuple__25;
static PyObject *__pyx_tuple__27;
static PyObject *__pyx_tuple__28;
static PyObject *__pyx_tuple__29;
static PyObject *__pyx_tuple__31;
static PyObject *__pyx_tuple__33;
static PyObject *__pyx_tuple__35;
static PyObject *__pyx_tuple__37;
static PyObject *__pyx_tuple__39;
static PyObject *__pyx_tuple__41;
static PyObject *__pyx_tuple__43;
static PyObject *__pyx_tuple__45;
static PyObject *__pyx_tuple__47;
static PyObject *__pyx_tuple__49;
static PyObject *__pyx_tuple__51;
static PyObject *__pyx_tuple__53;
static PyObject *__pyx_tuple__54;
static PyObject *__pyx_tuple__55;
static PyObject *__pyx_tuple__56;
static PyObject *__pyx_tuple__57;
static PyObject *__pyx_tuple__59;
static PyObject *__pyx_tuple__61;
static PyObject *__pyx_tuple__63;
static PyObject *__pyx_tuple__65;
static PyObject *__pyx_tuple__67;
static PyObject *__pyx_tuple__69;
static PyObject *__pyx_tuple__71;
static PyObject *__pyx_tuple__73;
static PyObject *__pyx_tuple__75;
static PyObject *__pyx_tuple__77;
static PyObject *__pyx_tuple__79;
static PyObject *__pyx_tuple__81;
static PyObject *__pyx_tuple__82;
static PyObject *__pyx_tuple__83;
static PyObject *__pyx_tuple__85;
static PyObject *__pyx_tuple__87;
static PyObject *__pyx_tuple__89;
static PyObject *__pyx_tuple__91;
static PyObject *__pyx_tuple__93;
static PyObject *__pyx_tuple__95;
static PyObject *__pyx_tuple__97;
static PyObject *__pyx_tuple__99;
static PyObject *__pyx_slice__100;
static PyObject *__pyx_slice__102;
static PyObject *__pyx_slice__104;
static PyObject *__pyx_slice__106;
static PyObject *__pyx_slice__112;
static PyObject *__pyx_slice__114;
static PyObject *__pyx_slice__115;
static PyObject *__pyx_slice__116;
static PyObject *__pyx_slice__117;
static PyObject *__pyx_slice__118;
static PyObject *__pyx_slice__119;
static PyObject *__pyx_slice__120;
static PyObject *__pyx_slice__121;
static PyObject *__pyx_slice__123;
static PyObject *__pyx_slice__124;
static PyObject *__pyx_tuple__101;
static PyObject *__pyx_tuple__103;
static PyObject *__pyx_tuple__105;
static PyObject *__pyx_tuple__107;
static PyObject *__pyx_tuple__108;
static PyObject *__pyx_tuple__109;
static PyObject *__pyx_tuple__110;
static PyObject *__pyx_tuple__111;
static PyObject *__pyx_tuple__113;
static PyObject *__pyx_tuple__122;
static PyObject *__pyx_tuple__127;
static PyObject *__pyx_tuple__128;
static PyObject *__pyx_tuple__129;
static PyObject *__pyx_tuple__130;
static PyObject *__pyx_tuple__131;
static PyObject *__pyx_tuple__132;
static PyObject *__pyx_tuple__133;
static PyObject *__pyx_tuple__134;
static PyObject *__pyx_tuple__135;
static PyObject *__pyx_tuple__136;
static PyObject *__pyx_tuple__137;
static PyObject *__pyx_tuple__138;
static PyObject *__pyx_tuple__140;
static PyObject *__pyx_tuple__142;
static PyObject *__pyx_tuple__144;
static PyObject *__pyx_tuple__146;
static PyObject *__pyx_tuple__148;
static PyObject *__pyx_tuple__150;
static PyObject *__pyx_tuple__153;
static PyObject *__pyx_tuple__155;
static PyObject *__pyx_tuple__157;
static PyObject *__pyx_tuple__159;
static PyObject *__pyx_tuple__160;
static PyObject *__pyx_tuple__162;
static PyObject *__pyx_tuple__164;
static PyObject *__pyx_tuple__166;
static PyObject *__pyx_tuple__168;
static PyObject *__pyx_tuple__170;
static PyObject *__pyx_tuple__172;
static PyObject *__pyx_tuple__174;
static PyObject *__pyx_tuple__176;
static PyObject *__pyx_tuple__177;
static PyObject *__pyx_tuple__179;
static PyObject *__pyx_tuple__180;
static PyObject *__pyx_tuple__182;
static PyObject *__pyx_tuple__184;
static PyObject *__pyx_tuple__186;
static PyObject *__pyx_tuple__188;
static PyObject *__pyx_tuple__190;
static PyObject *__pyx_tuple__192;
static PyObject *__pyx_tuple__194;
static PyObject *__pyx_tuple__196;
static PyObject *__pyx_tuple__198;
static PyObject *__pyx_tuple__200;
static PyObject *__pyx_tuple__202;
static PyObject *__pyx_codeobj__139;
static PyObject *__pyx_codeobj__141;
static PyObject *__pyx_codeobj__143;
static PyObject *__pyx_codeobj__145;
static PyObject *__pyx_codeobj__147;
static PyObject *__pyx_codeobj__149;
static PyObject *__pyx_codeobj__151;
static PyObject *__pyx_codeobj__154;
static PyObject *__pyx_codeobj__156;
static PyObject *__pyx_codeobj__158;
static PyObject *__pyx_codeobj__161;
static PyObject *__pyx_codeobj__163;
static PyObject *__pyx_codeobj__165;
static PyObject *__pyx_codeobj__167;
static PyObject *__pyx_codeobj__169;
static PyObject *__pyx_codeobj__171;
static PyObject *__pyx_codeobj__173;
static PyObject *__pyx_codeobj__175;
static PyObject *__pyx_codeobj__178;
static PyObject *__pyx_codeobj__181;
static PyObject *__pyx_codeobj__183;
static PyObject *__pyx_codeobj__185;
static PyObject *__pyx_codeobj__187;
static PyObject *__pyx_codeobj__189;
static PyObject *__pyx_codeobj__191;
static PyObject *__pyx_codeobj__193;
static PyObject *__pyx_codeobj__195;
static PyObject *__pyx_codeobj__197;
static PyObject *__pyx_codeobj__199;
static PyObject *__pyx_codeobj__201;
static PyObject *__pyx_codeobj__203;
/* Late includes */

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":39
 *     __graph = None
 * 
 *     def get_graph(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         if isinstance(self.__graph, Synapse) is False:
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_1get_graph(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_get_graph[] = " getter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_1get_graph = {"get_graph", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_1get_graph, METH_O, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_get_graph};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_1get_graph(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("get_graph (wrapper)", 0);
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_get_graph(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_get_graph(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  int __pyx_t_3;
  int __pyx_t_4;
  __Pyx_RefNannySetupContext("get_graph", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":41
 *     def get_graph(self):
 *         ''' getter '''
 *         if isinstance(self.__graph, Synapse) is False:             # <<<<<<<<<<<<<<
 *             raise TypeError()
 * 
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__graph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 41, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_Synapse); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 41, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = PyObject_IsInstance(__pyx_t_1, __pyx_t_2); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(0, 41, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_4 = ((__pyx_t_3 == 0) != 0);
  if (unlikely(__pyx_t_4)) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":42
 *         ''' getter '''
 *         if isinstance(self.__graph, Synapse) is False:
 *             raise TypeError()             # <<<<<<<<<<<<<<
 * 
 *         return self.__graph
 */
    __pyx_t_2 = __Pyx_PyObject_CallNoArg(__pyx_builtin_TypeError); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 42, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_Raise(__pyx_t_2, 0, 0, 0);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __PYX_ERR(0, 42, __pyx_L1_error)

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":41
 *     def get_graph(self):
 *         ''' getter '''
 *         if isinstance(self.__graph, Synapse) is False:             # <<<<<<<<<<<<<<
 *             raise TypeError()
 * 
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":44
 *             raise TypeError()
 * 
 *         return self.__graph             # <<<<<<<<<<<<<<
 * 
 *     def set_graph(self, value):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 44, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_r = __pyx_t_2;
  __pyx_t_2 = 0;
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":39
 *     __graph = None
 * 
 *     def get_graph(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         if isinstance(self.__graph, Synapse) is False:
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.get_graph", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":46
 *         return self.__graph
 * 
 *     def set_graph(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         if isinstance(value, Synapse) is False:
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_3set_graph(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_2set_graph[] = " setter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_3set_graph = {"set_graph", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_3set_graph, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_2set_graph};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_3set_graph(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_value = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("set_graph (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_value,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_value)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("set_graph", 1, 2, 2, 1); __PYX_ERR(0, 46, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "set_graph") < 0)) __PYX_ERR(0, 46, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_value = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("set_graph", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 46, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_graph", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_2set_graph(__pyx_self, __pyx_v_self, __pyx_v_value);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_2set_graph(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_t_2;
  int __pyx_t_3;
  __Pyx_RefNannySetupContext("set_graph", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":48
 *     def set_graph(self, value):
 *         ''' setter '''
 *         if isinstance(value, Synapse) is False:             # <<<<<<<<<<<<<<
 *             raise TypeError()
 *         self.__graph = value
 */
  __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_Synapse); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 48, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyObject_IsInstance(__pyx_v_value, __pyx_t_1); if (unlikely(__pyx_t_2 == ((int)-1))) __PYX_ERR(0, 48, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_3 = ((__pyx_t_2 == 0) != 0);
  if (unlikely(__pyx_t_3)) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":49
 *         ''' setter '''
 *         if isinstance(value, Synapse) is False:
 *             raise TypeError()             # <<<<<<<<<<<<<<
 *         self.__graph = value
 * 
 */
    __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_builtin_TypeError); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 49, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_Raise(__pyx_t_1, 0, 0, 0);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __PYX_ERR(0, 49, __pyx_L1_error)

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":48
 *     def set_graph(self, value):
 *         ''' setter '''
 *         if isinstance(value, Synapse) is False:             # <<<<<<<<<<<<<<
 *             raise TypeError()
 *         self.__graph = value
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":50
 *         if isinstance(value, Synapse) is False:
 *             raise TypeError()
 *         self.__graph = value             # <<<<<<<<<<<<<<
 * 
 *     graph = property(get_graph, set_graph)
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__graph, __pyx_v_value) < 0) __PYX_ERR(0, 50, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":46
 *         return self.__graph
 * 
 *     def set_graph(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         if isinstance(value, Synapse) is False:
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_graph", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":72
 *     __hidden_shape = None
 * 
 *     def __init__(             # <<<<<<<<<<<<<<
 *         self,
 *         graph,
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_5__init__(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_4__init__[] = "\n        Init for building LSTM networks.\n\n        Args:\n            graph:                          is-a `Synapse`.\n            epochs:                         Epochs of Mini-batch.\n            bath_size:                      Batch size of Mini-batch.\n            learning_rate:                  Learning rate.\n            learning_attenuate_rate:        Attenuate the `learning_rate` by a factor of this value every `attenuate_epoch`.\n            attenuate_epoch:                Attenuate the `learning_rate` by a factor of `learning_attenuate_rate` every `attenuate_epoch`.\n                                            Additionally, in relation to regularization,\n                                            this class constrains weight matrixes every `attenuate_epoch`.\n\n            given_conv:                     is-a `ConvolutionLayer` for LSTM hidden layer.\n                                            If `None`, this class instantiates `ConvolutionLayer` based on default settings.\n\n            input_conv:                     is-a `ConvolutionLayer` for input gate in LSTM hidden layer.\n                                            If `None`, this class instantiates `ConvolutionLayer` based on default settings.\n\n            forgot_conv:                    is-a `ConvolutionLayer` for forgot gate in LSTM hidden layer.\n                                            If `None`, this class instantiates `ConvolutionLayer` based on default settings.\n\n            output_conv:                    is-a `ConvolutionLayer` for output gate in LSTM hidden layer.\n                                            If `None`, this class instantiates `ConvolutionLayer` based on default settings.\n            \n            filter_num:                     The number of filter in default settings.\n            channel:                        The channel in default settings.\n            width:                          The width of input images in the first layer.\n            height:  ""                       The height of input images in the first layer.\n            kernel_size:                    The kernel size in default settings.\n            scale:                          Scale of weights and bias vector in convolution layer in default settings.\n            stride:                         The stride in default settings.\n            pad:                            The pad in default settings.\n\n            seq_len:                        The length of sequences.\n                                            If `0`, this model will reference all series elements included \n                                            in observed data points.\n                                            If not `0`, only first sequence will be observed by this model \n                                            and will be feedfowarded as feature points.\n                                            This parameter enables you to build this class as `Decoder` in\n                                            Sequence-to-Sequence(Seq2seq) scheme.\n\n            bptt_tau:                       Refereed maxinum step `t` in Backpropagation Through Time(BPTT).\n                                            If `0`, this class referes all past data in BPTT.\n\n            test_size_rate:                 Size of Test data set. If this value is `0`, the validation will not be executed.\n            computable_loss:                Loss function.\n            opt_params:                     Optimization function.\n            verificatable_result:           Verification function.\n            tol:                            Tolerance for the optimization.\n                                            When the loss or score is not improving by at least tol \n                                            for two consecutive iterations, convergence is considered \n                                            to be reached and training stops.\n\n            tld:                        ""    Tolerance for deviation of loss.\n\n            pre_learned_dir:                Path to directory that stores pre-learned parameters.\n\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_5__init__ = {"__init__", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_5__init__, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_4__init__};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_5__init__(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_graph = 0;
  int __pyx_v_epochs;
  int __pyx_v_batch_size;
  double __pyx_v_learning_rate;
  double __pyx_v_learning_attenuate_rate;
  int __pyx_v_attenuate_epoch;
  PyObject *__pyx_v_given_conv = 0;
  PyObject *__pyx_v_input_conv = 0;
  PyObject *__pyx_v_forgot_conv = 0;
  PyObject *__pyx_v_output_conv = 0;
  int __pyx_v_filter_num;
  int __pyx_v_channel;
  int __pyx_v_kernel_size;
  double __pyx_v_scale;
  int __pyx_v_stride;
  int __pyx_v_pad;
  int __pyx_v_seq_len;
  int __pyx_v_bptt_tau;
  double __pyx_v_test_size_rate;
  PyObject *__pyx_v_computable_loss = 0;
  PyObject *__pyx_v_opt_params = 0;
  PyObject *__pyx_v_verificatable_result = 0;
  PyObject *__pyx_v_tol = 0;
  PyObject *__pyx_v_tld = 0;
  PyObject *__pyx_v_pre_learned_dir = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__init__ (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_graph,&__pyx_n_s_epochs,&__pyx_n_s_batch_size,&__pyx_n_s_learning_rate,&__pyx_n_s_learning_attenuate_rate,&__pyx_n_s_attenuate_epoch,&__pyx_n_s_given_conv,&__pyx_n_s_input_conv,&__pyx_n_s_forgot_conv,&__pyx_n_s_output_conv,&__pyx_n_s_filter_num,&__pyx_n_s_channel,&__pyx_n_s_kernel_size,&__pyx_n_s_scale,&__pyx_n_s_stride,&__pyx_n_s_pad,&__pyx_n_s_seq_len,&__pyx_n_s_bptt_tau,&__pyx_n_s_test_size_rate,&__pyx_n_s_computable_loss,&__pyx_n_s_opt_params,&__pyx_n_s_verificatable_result,&__pyx_n_s_tol,&__pyx_n_s_tld,&__pyx_n_s_pre_learned_dir,0};
    PyObject* values[26] = {0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0};

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":80
 *         double learning_attenuate_rate=0.1,
 *         int attenuate_epoch=50,
 *         given_conv=None,             # <<<<<<<<<<<<<<
 *         input_conv=None,
 *         forgot_conv=None,
 */
    values[7] = ((PyObject *)((PyObject *)Py_None));

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":81
 *         int attenuate_epoch=50,
 *         given_conv=None,
 *         input_conv=None,             # <<<<<<<<<<<<<<
 *         forgot_conv=None,
 *         output_conv=None,
 */
    values[8] = ((PyObject *)((PyObject *)Py_None));

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":82
 *         given_conv=None,
 *         input_conv=None,
 *         forgot_conv=None,             # <<<<<<<<<<<<<<
 *         output_conv=None,
 *         int filter_num=20,
 */
    values[9] = ((PyObject *)((PyObject *)Py_None));

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":83
 *         input_conv=None,
 *         forgot_conv=None,
 *         output_conv=None,             # <<<<<<<<<<<<<<
 *         int filter_num=20,
 *         int channel=3,
 */
    values[10] = ((PyObject *)((PyObject *)Py_None));

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":93
 *         int bptt_tau=16,
 *         double test_size_rate=0.3,
 *         computable_loss=None,             # <<<<<<<<<<<<<<
 *         opt_params=None,
 *         verificatable_result=None,
 */
    values[20] = ((PyObject *)((PyObject *)Py_None));

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":94
 *         double test_size_rate=0.3,
 *         computable_loss=None,
 *         opt_params=None,             # <<<<<<<<<<<<<<
 *         verificatable_result=None,
 *         tol=1e-04,
 */
    values[21] = ((PyObject *)((PyObject *)Py_None));

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":95
 *         computable_loss=None,
 *         opt_params=None,
 *         verificatable_result=None,             # <<<<<<<<<<<<<<
 *         tol=1e-04,
 *         tld=100.0,
 */
    values[22] = ((PyObject *)((PyObject *)Py_None));
    values[23] = ((PyObject *)((PyObject*)__pyx_float_1eneg_04));
    values[24] = ((PyObject *)((PyObject*)__pyx_float_100_0));

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":98
 *         tol=1e-04,
 *         tld=100.0,
 *         pre_learned_dir=None             # <<<<<<<<<<<<<<
 *     ):
 *         '''
 */
    values[25] = ((PyObject *)((PyObject *)Py_None));
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25);
        CYTHON_FALLTHROUGH;
        case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24);
        CYTHON_FALLTHROUGH;
        case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23);
        CYTHON_FALLTHROUGH;
        case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22);
        CYTHON_FALLTHROUGH;
        case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21);
        CYTHON_FALLTHROUGH;
        case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20);
        CYTHON_FALLTHROUGH;
        case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19);
        CYTHON_FALLTHROUGH;
        case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18);
        CYTHON_FALLTHROUGH;
        case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17);
        CYTHON_FALLTHROUGH;
        case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16);
        CYTHON_FALLTHROUGH;
        case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15);
        CYTHON_FALLTHROUGH;
        case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14);
        CYTHON_FALLTHROUGH;
        case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13);
        CYTHON_FALLTHROUGH;
        case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
        CYTHON_FALLTHROUGH;
        case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
        CYTHON_FALLTHROUGH;
        case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
        CYTHON_FALLTHROUGH;
        case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
        CYTHON_FALLTHROUGH;
        case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
        CYTHON_FALLTHROUGH;
        case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
        CYTHON_FALLTHROUGH;
        case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
        CYTHON_FALLTHROUGH;
        case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
        CYTHON_FALLTHROUGH;
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_graph)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__init__", 0, 2, 26, 1); __PYX_ERR(0, 72, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_epochs);
          if (value) { values[2] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_batch_size);
          if (value) { values[3] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  4:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learning_rate);
          if (value) { values[4] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  5:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learning_attenuate_rate);
          if (value) { values[5] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  6:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_attenuate_epoch);
          if (value) { values[6] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  7:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_given_conv);
          if (value) { values[7] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  8:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_input_conv);
          if (value) { values[8] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  9:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_forgot_conv);
          if (value) { values[9] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 10:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_output_conv);
          if (value) { values[10] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 11:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_filter_num);
          if (value) { values[11] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 12:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_channel);
          if (value) { values[12] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 13:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_kernel_size);
          if (value) { values[13] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 14:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_scale);
          if (value) { values[14] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 15:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_stride);
          if (value) { values[15] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 16:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pad);
          if (value) { values[16] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 17:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_seq_len);
          if (value) { values[17] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 18:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_bptt_tau);
          if (value) { values[18] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 19:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_test_size_rate);
          if (value) { values[19] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 20:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_computable_loss);
          if (value) { values[20] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 21:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_opt_params);
          if (value) { values[21] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 22:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_verificatable_result);
          if (value) { values[22] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 23:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_tol);
          if (value) { values[23] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 24:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_tld);
          if (value) { values[24] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case 25:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pre_learned_dir);
          if (value) { values[25] = value; kw_args--; }
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__init__") < 0)) __PYX_ERR(0, 72, __pyx_L3_error)
      }
    } else {
      switch (PyTuple_GET_SIZE(__pyx_args)) {
        case 26: values[25] = PyTuple_GET_ITEM(__pyx_args, 25);
        CYTHON_FALLTHROUGH;
        case 25: values[24] = PyTuple_GET_ITEM(__pyx_args, 24);
        CYTHON_FALLTHROUGH;
        case 24: values[23] = PyTuple_GET_ITEM(__pyx_args, 23);
        CYTHON_FALLTHROUGH;
        case 23: values[22] = PyTuple_GET_ITEM(__pyx_args, 22);
        CYTHON_FALLTHROUGH;
        case 22: values[21] = PyTuple_GET_ITEM(__pyx_args, 21);
        CYTHON_FALLTHROUGH;
        case 21: values[20] = PyTuple_GET_ITEM(__pyx_args, 20);
        CYTHON_FALLTHROUGH;
        case 20: values[19] = PyTuple_GET_ITEM(__pyx_args, 19);
        CYTHON_FALLTHROUGH;
        case 19: values[18] = PyTuple_GET_ITEM(__pyx_args, 18);
        CYTHON_FALLTHROUGH;
        case 18: values[17] = PyTuple_GET_ITEM(__pyx_args, 17);
        CYTHON_FALLTHROUGH;
        case 17: values[16] = PyTuple_GET_ITEM(__pyx_args, 16);
        CYTHON_FALLTHROUGH;
        case 16: values[15] = PyTuple_GET_ITEM(__pyx_args, 15);
        CYTHON_FALLTHROUGH;
        case 15: values[14] = PyTuple_GET_ITEM(__pyx_args, 14);
        CYTHON_FALLTHROUGH;
        case 14: values[13] = PyTuple_GET_ITEM(__pyx_args, 13);
        CYTHON_FALLTHROUGH;
        case 13: values[12] = PyTuple_GET_ITEM(__pyx_args, 12);
        CYTHON_FALLTHROUGH;
        case 12: values[11] = PyTuple_GET_ITEM(__pyx_args, 11);
        CYTHON_FALLTHROUGH;
        case 11: values[10] = PyTuple_GET_ITEM(__pyx_args, 10);
        CYTHON_FALLTHROUGH;
        case 10: values[9] = PyTuple_GET_ITEM(__pyx_args, 9);
        CYTHON_FALLTHROUGH;
        case  9: values[8] = PyTuple_GET_ITEM(__pyx_args, 8);
        CYTHON_FALLTHROUGH;
        case  8: values[7] = PyTuple_GET_ITEM(__pyx_args, 7);
        CYTHON_FALLTHROUGH;
        case  7: values[6] = PyTuple_GET_ITEM(__pyx_args, 6);
        CYTHON_FALLTHROUGH;
        case  6: values[5] = PyTuple_GET_ITEM(__pyx_args, 5);
        CYTHON_FALLTHROUGH;
        case  5: values[4] = PyTuple_GET_ITEM(__pyx_args, 4);
        CYTHON_FALLTHROUGH;
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        break;
        default: goto __pyx_L5_argtuple_error;
      }
    }
    __pyx_v_self = values[0];
    __pyx_v_graph = values[1];
    if (values[2]) {
      __pyx_v_epochs = __Pyx_PyInt_As_int(values[2]); if (unlikely((__pyx_v_epochs == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 75, __pyx_L3_error)
    } else {
      __pyx_v_epochs = ((int)((int)0x64));
    }
    if (values[3]) {
      __pyx_v_batch_size = __Pyx_PyInt_As_int(values[3]); if (unlikely((__pyx_v_batch_size == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 76, __pyx_L3_error)
    } else {
      __pyx_v_batch_size = ((int)((int)0x64));
    }
    if (values[4]) {
      __pyx_v_learning_rate = __pyx_PyFloat_AsDouble(values[4]); if (unlikely((__pyx_v_learning_rate == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 77, __pyx_L3_error)
    } else {
      __pyx_v_learning_rate = ((double)((double)1e-05));
    }
    if (values[5]) {
      __pyx_v_learning_attenuate_rate = __pyx_PyFloat_AsDouble(values[5]); if (unlikely((__pyx_v_learning_attenuate_rate == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 78, __pyx_L3_error)
    } else {
      __pyx_v_learning_attenuate_rate = ((double)((double)0.1));
    }
    if (values[6]) {
      __pyx_v_attenuate_epoch = __Pyx_PyInt_As_int(values[6]); if (unlikely((__pyx_v_attenuate_epoch == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 79, __pyx_L3_error)
    } else {
      __pyx_v_attenuate_epoch = ((int)((int)50));
    }
    __pyx_v_given_conv = values[7];
    __pyx_v_input_conv = values[8];
    __pyx_v_forgot_conv = values[9];
    __pyx_v_output_conv = values[10];
    if (values[11]) {
      __pyx_v_filter_num = __Pyx_PyInt_As_int(values[11]); if (unlikely((__pyx_v_filter_num == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 84, __pyx_L3_error)
    } else {
      __pyx_v_filter_num = ((int)((int)20));
    }
    if (values[12]) {
      __pyx_v_channel = __Pyx_PyInt_As_int(values[12]); if (unlikely((__pyx_v_channel == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 85, __pyx_L3_error)
    } else {
      __pyx_v_channel = ((int)((int)3));
    }
    if (values[13]) {
      __pyx_v_kernel_size = __Pyx_PyInt_As_int(values[13]); if (unlikely((__pyx_v_kernel_size == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 86, __pyx_L3_error)
    } else {
      __pyx_v_kernel_size = ((int)((int)3));
    }
    if (values[14]) {
      __pyx_v_scale = __pyx_PyFloat_AsDouble(values[14]); if (unlikely((__pyx_v_scale == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 87, __pyx_L3_error)
    } else {
      __pyx_v_scale = ((double)((double)0.1));
    }
    if (values[15]) {
      __pyx_v_stride = __Pyx_PyInt_As_int(values[15]); if (unlikely((__pyx_v_stride == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 88, __pyx_L3_error)
    } else {
      __pyx_v_stride = ((int)((int)1));
    }
    if (values[16]) {
      __pyx_v_pad = __Pyx_PyInt_As_int(values[16]); if (unlikely((__pyx_v_pad == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 89, __pyx_L3_error)
    } else {
      __pyx_v_pad = ((int)((int)1));
    }
    if (values[17]) {
      __pyx_v_seq_len = __Pyx_PyInt_As_int(values[17]); if (unlikely((__pyx_v_seq_len == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 90, __pyx_L3_error)
    } else {
      __pyx_v_seq_len = ((int)((int)0));
    }
    if (values[18]) {
      __pyx_v_bptt_tau = __Pyx_PyInt_As_int(values[18]); if (unlikely((__pyx_v_bptt_tau == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 91, __pyx_L3_error)
    } else {
      __pyx_v_bptt_tau = ((int)((int)16));
    }
    if (values[19]) {
      __pyx_v_test_size_rate = __pyx_PyFloat_AsDouble(values[19]); if (unlikely((__pyx_v_test_size_rate == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 92, __pyx_L3_error)
    } else {
      __pyx_v_test_size_rate = ((double)((double)0.3));
    }
    __pyx_v_computable_loss = values[20];
    __pyx_v_opt_params = values[21];
    __pyx_v_verificatable_result = values[22];
    __pyx_v_tol = values[23];
    __pyx_v_tld = values[24];
    __pyx_v_pre_learned_dir = values[25];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("__init__", 0, 2, 26, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 72, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_4__init__(__pyx_self, __pyx_v_self, __pyx_v_graph, __pyx_v_epochs, __pyx_v_batch_size, __pyx_v_learning_rate, __pyx_v_learning_attenuate_rate, __pyx_v_attenuate_epoch, __pyx_v_given_conv, __pyx_v_input_conv, __pyx_v_forgot_conv, __pyx_v_output_conv, __pyx_v_filter_num, __pyx_v_channel, __pyx_v_kernel_size, __pyx_v_scale, __pyx_v_stride, __pyx_v_pad, __pyx_v_seq_len, __pyx_v_bptt_tau, __pyx_v_test_size_rate, __pyx_v_computable_loss, __pyx_v_opt_params, __pyx_v_verificatable_result, __pyx_v_tol, __pyx_v_tld, __pyx_v_pre_learned_dir);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":72
 *     __hidden_shape = None
 * 
 *     def __init__(             # <<<<<<<<<<<<<<
 *         self,
 *         graph,
 */

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_4__init__(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_graph, int __pyx_v_epochs, int __pyx_v_batch_size, double __pyx_v_learning_rate, double __pyx_v_learning_attenuate_rate, int __pyx_v_attenuate_epoch, PyObject *__pyx_v_given_conv, PyObject *__pyx_v_input_conv, PyObject *__pyx_v_forgot_conv, PyObject *__pyx_v_output_conv, int __pyx_v_filter_num, int __pyx_v_channel, int __pyx_v_kernel_size, double __pyx_v_scale, int __pyx_v_stride, int __pyx_v_pad, int __pyx_v_seq_len, int __pyx_v_bptt_tau, double __pyx_v_test_size_rate, PyObject *__pyx_v_computable_loss, PyObject *__pyx_v_opt_params, PyObject *__pyx_v_verificatable_result, PyObject *__pyx_v_tol, PyObject *__pyx_v_tld, PyObject *__pyx_v_pre_learned_dir) {
  PyObject *__pyx_v_logger = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  int __pyx_t_1;
  int __pyx_t_2;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  PyObject *__pyx_t_9 = NULL;
  __Pyx_RefNannySetupContext("__init__", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":159
 * 
 *         '''
 *         self.graph = graph             # <<<<<<<<<<<<<<
 *         if pre_learned_dir is not None:
 *             self.graph.load_pre_learned_params(pre_learned_dir + "conv_lstm_graph.npz")
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_graph, __pyx_v_graph) < 0) __PYX_ERR(0, 159, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":160
 *         '''
 *         self.graph = graph
 *         if pre_learned_dir is not None:             # <<<<<<<<<<<<<<
 *             self.graph.load_pre_learned_params(pre_learned_dir + "conv_lstm_graph.npz")
 * 
 */
  __pyx_t_1 = (__pyx_v_pre_learned_dir != Py_None);
  __pyx_t_2 = (__pyx_t_1 != 0);
  if (__pyx_t_2) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":161
 *         self.graph = graph
 *         if pre_learned_dir is not None:
 *             self.graph.load_pre_learned_params(pre_learned_dir + "conv_lstm_graph.npz")             # <<<<<<<<<<<<<<
 * 
 *         self.__filter_num = filter_num
 */
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 161, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_load_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 161, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = PyNumber_Add(__pyx_v_pre_learned_dir, __pyx_kp_s_conv_lstm_graph_npz); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 161, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_6 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
      __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
      if (likely(__pyx_t_6)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
        __Pyx_INCREF(__pyx_t_6);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_5, function);
      }
    }
    if (!__pyx_t_6) {
      __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 161, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __Pyx_GOTREF(__pyx_t_3);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_4};
        __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 161, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_4};
        __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 161, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      } else
      #endif
      {
        __pyx_t_7 = PyTuple_New(1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 161, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_7);
        __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_6); __pyx_t_6 = NULL;
        __Pyx_GIVEREF(__pyx_t_4);
        PyTuple_SET_ITEM(__pyx_t_7, 0+1, __pyx_t_4);
        __pyx_t_4 = 0;
        __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_7, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 161, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":160
 *         '''
 *         self.graph = graph
 *         if pre_learned_dir is not None:             # <<<<<<<<<<<<<<
 *             self.graph.load_pre_learned_params(pre_learned_dir + "conv_lstm_graph.npz")
 * 
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":163
 *             self.graph.load_pre_learned_params(pre_learned_dir + "conv_lstm_graph.npz")
 * 
 *         self.__filter_num = filter_num             # <<<<<<<<<<<<<<
 *         self.__channel = channel
 *         self.__hidden_shape = None
 */
  __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_filter_num); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 163, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__filter_num, __pyx_t_3) < 0) __PYX_ERR(0, 163, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":164
 * 
 *         self.__filter_num = filter_num
 *         self.__channel = channel             # <<<<<<<<<<<<<<
 *         self.__hidden_shape = None
 * 
 */
  __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_channel); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 164, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__channel, __pyx_t_3) < 0) __PYX_ERR(0, 164, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":165
 *         self.__filter_num = filter_num
 *         self.__channel = channel
 *         self.__hidden_shape = None             # <<<<<<<<<<<<<<
 * 
 *         if given_conv is None:
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__hidden_shape, Py_None) < 0) __PYX_ERR(0, 165, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":167
 *         self.__hidden_shape = None
 * 
 *         if given_conv is None:             # <<<<<<<<<<<<<<
 *             self.__given_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 */
  __pyx_t_2 = (__pyx_v_given_conv == Py_None);
  __pyx_t_1 = (__pyx_t_2 != 0);
  if (__pyx_t_1) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":168
 * 
 *         if given_conv is None:
 *             self.__given_conv = ConvolutionLayer(             # <<<<<<<<<<<<<<
 *                 # Computation graph for first convolution layer.
 *                 GivenGraph(
 */
    __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_ConvolutionLayer); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 168, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":170
 *             self.__given_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 *                 GivenGraph(             # <<<<<<<<<<<<<<
 *                     # Logistic function as activation function.
 *                     activation_function=TanhFunction(),
 */
    __pyx_t_7 = __Pyx_GetModuleGlobalName(__pyx_n_s_GivenGraph); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 170, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":172
 *                 GivenGraph(
 *                     # Logistic function as activation function.
 *                     activation_function=TanhFunction(),             # <<<<<<<<<<<<<<
 *                     # The number of `filter`.
 *                     filter_num=filter_num,
 */
    __pyx_t_4 = __Pyx_PyDict_NewPresized(7); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 172, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_8 = __Pyx_GetModuleGlobalName(__pyx_n_s_TanhFunction); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 172, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_9 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) {
      __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_8);
      if (likely(__pyx_t_9)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
        __Pyx_INCREF(__pyx_t_9);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_8, function);
      }
    }
    if (__pyx_t_9) {
      __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_9); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 172, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    } else {
      __pyx_t_6 = __Pyx_PyObject_CallNoArg(__pyx_t_8); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 172, __pyx_L1_error)
    }
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_activation_function, __pyx_t_6) < 0) __PYX_ERR(0, 172, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":174
 *                     activation_function=TanhFunction(),
 *                     # The number of `filter`.
 *                     filter_num=filter_num,             # <<<<<<<<<<<<<<
 *                     # The number of channel.
 *                     channel=channel,
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_filter_num); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 174, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_filter_num, __pyx_t_6) < 0) __PYX_ERR(0, 172, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":176
 *                     filter_num=filter_num,
 *                     # The number of channel.
 *                     channel=channel,             # <<<<<<<<<<<<<<
 *                     # The size of kernel.
 *                     kernel_size=kernel_size,
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_channel); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 176, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_channel, __pyx_t_6) < 0) __PYX_ERR(0, 172, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":178
 *                     channel=channel,
 *                     # The size of kernel.
 *                     kernel_size=kernel_size,             # <<<<<<<<<<<<<<
 *                     # The filter scale.
 *                     scale=scale,
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_kernel_size); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 178, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_kernel_size, __pyx_t_6) < 0) __PYX_ERR(0, 172, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":180
 *                     kernel_size=kernel_size,
 *                     # The filter scale.
 *                     scale=scale,             # <<<<<<<<<<<<<<
 *                     # The nubmer of stride.
 *                     stride=stride,
 */
    __pyx_t_6 = PyFloat_FromDouble(__pyx_v_scale); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 180, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_scale, __pyx_t_6) < 0) __PYX_ERR(0, 172, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":182
 *                     scale=scale,
 *                     # The nubmer of stride.
 *                     stride=stride,             # <<<<<<<<<<<<<<
 *                     # The number of zero-padding.
 *                     pad=pad
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_stride); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 182, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_stride, __pyx_t_6) < 0) __PYX_ERR(0, 172, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":184
 *                     stride=stride,
 *                     # The number of zero-padding.
 *                     pad=pad             # <<<<<<<<<<<<<<
 *                 )
 *             )
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_pad); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 184, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_pad, __pyx_t_6) < 0) __PYX_ERR(0, 172, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":170
 *             self.__given_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 *                 GivenGraph(             # <<<<<<<<<<<<<<
 *                     # Logistic function as activation function.
 *                     activation_function=TanhFunction(),
 */
    __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_empty_tuple, __pyx_t_4); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 170, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) {
      __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_5);
      if (likely(__pyx_t_4)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
        __Pyx_INCREF(__pyx_t_4);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_5, function);
      }
    }
    if (!__pyx_t_4) {
      __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 168, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_3);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_4, __pyx_t_6};
        __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 168, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_4, __pyx_t_6};
        __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 168, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      } else
      #endif
      {
        __pyx_t_7 = PyTuple_New(1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 168, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_7);
        __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_4); __pyx_t_4 = NULL;
        __Pyx_GIVEREF(__pyx_t_6);
        PyTuple_SET_ITEM(__pyx_t_7, 0+1, __pyx_t_6);
        __pyx_t_6 = 0;
        __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_7, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 168, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":168
 * 
 *         if given_conv is None:
 *             self.__given_conv = ConvolutionLayer(             # <<<<<<<<<<<<<<
 *                 # Computation graph for first convolution layer.
 *                 GivenGraph(
 */
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv, __pyx_t_3) < 0) __PYX_ERR(0, 168, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":187
 *                 )
 *             )
 *             if pre_learned_dir is not None:             # <<<<<<<<<<<<<<
 *                 self.__given_conv.graph.load_pre_learned_params(
 *                     pre_learned_dir + "conv_lstm_given_graph.npz"
 */
    __pyx_t_1 = (__pyx_v_pre_learned_dir != Py_None);
    __pyx_t_2 = (__pyx_t_1 != 0);
    if (__pyx_t_2) {

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":188
 *             )
 *             if pre_learned_dir is not None:
 *                 self.__given_conv.graph.load_pre_learned_params(             # <<<<<<<<<<<<<<
 *                     pre_learned_dir + "conv_lstm_given_graph.npz"
 *                 )
 */
      __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 188, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 188, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_load_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 188, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":189
 *             if pre_learned_dir is not None:
 *                 self.__given_conv.graph.load_pre_learned_params(
 *                     pre_learned_dir + "conv_lstm_given_graph.npz"             # <<<<<<<<<<<<<<
 *                 )
 *         else:
 */
      __pyx_t_7 = PyNumber_Add(__pyx_v_pre_learned_dir, __pyx_kp_s_conv_lstm_given_graph_npz); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 189, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_6 = NULL;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
        __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
        if (likely(__pyx_t_6)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
          __Pyx_INCREF(__pyx_t_6);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_5, function);
        }
      }
      if (!__pyx_t_6) {
        __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_7); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 188, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        __Pyx_GOTREF(__pyx_t_3);
      } else {
        #if CYTHON_FAST_PYCALL
        if (PyFunction_Check(__pyx_t_5)) {
          PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_7};
          __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 188, __pyx_L1_error)
          __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
          __Pyx_GOTREF(__pyx_t_3);
          __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        } else
        #endif
        #if CYTHON_FAST_PYCCALL
        if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
          PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_7};
          __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 188, __pyx_L1_error)
          __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
          __Pyx_GOTREF(__pyx_t_3);
          __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        } else
        #endif
        {
          __pyx_t_4 = PyTuple_New(1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 188, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_4);
          __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_6); __pyx_t_6 = NULL;
          __Pyx_GIVEREF(__pyx_t_7);
          PyTuple_SET_ITEM(__pyx_t_4, 0+1, __pyx_t_7);
          __pyx_t_7 = 0;
          __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_4, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 188, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_3);
          __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        }
      }
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":187
 *                 )
 *             )
 *             if pre_learned_dir is not None:             # <<<<<<<<<<<<<<
 *                 self.__given_conv.graph.load_pre_learned_params(
 *                     pre_learned_dir + "conv_lstm_given_graph.npz"
 */
    }

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":167
 *         self.__hidden_shape = None
 * 
 *         if given_conv is None:             # <<<<<<<<<<<<<<
 *             self.__given_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 */
    goto __pyx_L4;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":192
 *                 )
 *         else:
 *             self.__given_conv = given_conv             # <<<<<<<<<<<<<<
 * 
 *         if input_conv is None:
 */
  /*else*/ {
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv, __pyx_v_given_conv) < 0) __PYX_ERR(0, 192, __pyx_L1_error)
  }
  __pyx_L4:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":194
 *             self.__given_conv = given_conv
 * 
 *         if input_conv is None:             # <<<<<<<<<<<<<<
 *             self.__input_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 */
  __pyx_t_2 = (__pyx_v_input_conv == Py_None);
  __pyx_t_1 = (__pyx_t_2 != 0);
  if (__pyx_t_1) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":195
 * 
 *         if input_conv is None:
 *             self.__input_conv = ConvolutionLayer(             # <<<<<<<<<<<<<<
 *                 # Computation graph for first convolution layer.
 *                 InputGraph(
 */
    __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_ConvolutionLayer); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 195, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":197
 *             self.__input_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 *                 InputGraph(             # <<<<<<<<<<<<<<
 *                     # Logistic function as activation function.
 *                     activation_function=LogisticFunction(),
 */
    __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_InputGraph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 197, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":199
 *                 InputGraph(
 *                     # Logistic function as activation function.
 *                     activation_function=LogisticFunction(),             # <<<<<<<<<<<<<<
 *                     # The number of `filter`.
 *                     filter_num=filter_num,
 */
    __pyx_t_7 = __Pyx_PyDict_NewPresized(7); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 199, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_t_8 = __Pyx_GetModuleGlobalName(__pyx_n_s_LogisticFunction); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 199, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_9 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) {
      __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_8);
      if (likely(__pyx_t_9)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
        __Pyx_INCREF(__pyx_t_9);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_8, function);
      }
    }
    if (__pyx_t_9) {
      __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_9); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 199, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    } else {
      __pyx_t_6 = __Pyx_PyObject_CallNoArg(__pyx_t_8); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 199, __pyx_L1_error)
    }
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_activation_function, __pyx_t_6) < 0) __PYX_ERR(0, 199, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":201
 *                     activation_function=LogisticFunction(),
 *                     # The number of `filter`.
 *                     filter_num=filter_num,             # <<<<<<<<<<<<<<
 *                     # The number of channel.
 *                     channel=channel,
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_filter_num); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 201, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_filter_num, __pyx_t_6) < 0) __PYX_ERR(0, 199, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":203
 *                     filter_num=filter_num,
 *                     # The number of channel.
 *                     channel=channel,             # <<<<<<<<<<<<<<
 *                     # The size of kernel.
 *                     kernel_size=kernel_size,
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_channel); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 203, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_channel, __pyx_t_6) < 0) __PYX_ERR(0, 199, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":205
 *                     channel=channel,
 *                     # The size of kernel.
 *                     kernel_size=kernel_size,             # <<<<<<<<<<<<<<
 *                     # The filter scale.
 *                     scale=scale,
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_kernel_size); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 205, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_kernel_size, __pyx_t_6) < 0) __PYX_ERR(0, 199, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":207
 *                     kernel_size=kernel_size,
 *                     # The filter scale.
 *                     scale=scale,             # <<<<<<<<<<<<<<
 *                     # The nubmer of stride.
 *                     stride=stride,
 */
    __pyx_t_6 = PyFloat_FromDouble(__pyx_v_scale); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 207, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_scale, __pyx_t_6) < 0) __PYX_ERR(0, 199, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":209
 *                     scale=scale,
 *                     # The nubmer of stride.
 *                     stride=stride,             # <<<<<<<<<<<<<<
 *                     # The number of zero-padding.
 *                     pad=pad
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_stride); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 209, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_stride, __pyx_t_6) < 0) __PYX_ERR(0, 199, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":211
 *                     stride=stride,
 *                     # The number of zero-padding.
 *                     pad=pad             # <<<<<<<<<<<<<<
 *                 )
 *             )
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_pad); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 211, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_pad, __pyx_t_6) < 0) __PYX_ERR(0, 199, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":197
 *             self.__input_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 *                 InputGraph(             # <<<<<<<<<<<<<<
 *                     # Logistic function as activation function.
 *                     activation_function=LogisticFunction(),
 */
    __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_empty_tuple, __pyx_t_7); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 197, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_t_7 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) {
      __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_5);
      if (likely(__pyx_t_7)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
        __Pyx_INCREF(__pyx_t_7);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_5, function);
      }
    }
    if (!__pyx_t_7) {
      __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 195, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_3);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_6};
        __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 195, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_6};
        __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 195, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      } else
      #endif
      {
        __pyx_t_4 = PyTuple_New(1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 195, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_7); __pyx_t_7 = NULL;
        __Pyx_GIVEREF(__pyx_t_6);
        PyTuple_SET_ITEM(__pyx_t_4, 0+1, __pyx_t_6);
        __pyx_t_6 = 0;
        __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_4, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 195, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":195
 * 
 *         if input_conv is None:
 *             self.__input_conv = ConvolutionLayer(             # <<<<<<<<<<<<<<
 *                 # Computation graph for first convolution layer.
 *                 InputGraph(
 */
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv, __pyx_t_3) < 0) __PYX_ERR(0, 195, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":214
 *                 )
 *             )
 *             if pre_learned_dir is not None:             # <<<<<<<<<<<<<<
 *                 self.__input_conv.graph.load_pre_learned_params(
 *                     pre_learned_dir + "conv_lstm_input_graph.npz"
 */
    __pyx_t_1 = (__pyx_v_pre_learned_dir != Py_None);
    __pyx_t_2 = (__pyx_t_1 != 0);
    if (__pyx_t_2) {

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":215
 *             )
 *             if pre_learned_dir is not None:
 *                 self.__input_conv.graph.load_pre_learned_params(             # <<<<<<<<<<<<<<
 *                     pre_learned_dir + "conv_lstm_input_graph.npz"
 *                 )
 */
      __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 215, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 215, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_load_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 215, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":216
 *             if pre_learned_dir is not None:
 *                 self.__input_conv.graph.load_pre_learned_params(
 *                     pre_learned_dir + "conv_lstm_input_graph.npz"             # <<<<<<<<<<<<<<
 *                 )
 *         else:
 */
      __pyx_t_4 = PyNumber_Add(__pyx_v_pre_learned_dir, __pyx_kp_s_conv_lstm_input_graph_npz); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 216, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_6 = NULL;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
        __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
        if (likely(__pyx_t_6)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
          __Pyx_INCREF(__pyx_t_6);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_5, function);
        }
      }
      if (!__pyx_t_6) {
        __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 215, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_GOTREF(__pyx_t_3);
      } else {
        #if CYTHON_FAST_PYCALL
        if (PyFunction_Check(__pyx_t_5)) {
          PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_4};
          __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 215, __pyx_L1_error)
          __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
          __Pyx_GOTREF(__pyx_t_3);
          __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        } else
        #endif
        #if CYTHON_FAST_PYCCALL
        if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
          PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_4};
          __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 215, __pyx_L1_error)
          __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
          __Pyx_GOTREF(__pyx_t_3);
          __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        } else
        #endif
        {
          __pyx_t_7 = PyTuple_New(1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 215, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_7);
          __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_6); __pyx_t_6 = NULL;
          __Pyx_GIVEREF(__pyx_t_4);
          PyTuple_SET_ITEM(__pyx_t_7, 0+1, __pyx_t_4);
          __pyx_t_4 = 0;
          __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_7, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 215, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_3);
          __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        }
      }
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":214
 *                 )
 *             )
 *             if pre_learned_dir is not None:             # <<<<<<<<<<<<<<
 *                 self.__input_conv.graph.load_pre_learned_params(
 *                     pre_learned_dir + "conv_lstm_input_graph.npz"
 */
    }

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":194
 *             self.__given_conv = given_conv
 * 
 *         if input_conv is None:             # <<<<<<<<<<<<<<
 *             self.__input_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 */
    goto __pyx_L6;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":219
 *                 )
 *         else:
 *             self.__input_conv = input_conv             # <<<<<<<<<<<<<<
 * 
 *         if forgot_conv is None:
 */
  /*else*/ {
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv, __pyx_v_input_conv) < 0) __PYX_ERR(0, 219, __pyx_L1_error)
  }
  __pyx_L6:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":221
 *             self.__input_conv = input_conv
 * 
 *         if forgot_conv is None:             # <<<<<<<<<<<<<<
 *             self.__forgot_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 */
  __pyx_t_2 = (__pyx_v_forgot_conv == Py_None);
  __pyx_t_1 = (__pyx_t_2 != 0);
  if (__pyx_t_1) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":222
 * 
 *         if forgot_conv is None:
 *             self.__forgot_conv = ConvolutionLayer(             # <<<<<<<<<<<<<<
 *                 # Computation graph for first convolution layer.
 *                 ForgotGraph(
 */
    __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_ConvolutionLayer); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 222, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":224
 *             self.__forgot_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 *                 ForgotGraph(             # <<<<<<<<<<<<<<
 *                     # Logistic function as activation function.
 *                     activation_function=LogisticFunction(),
 */
    __pyx_t_7 = __Pyx_GetModuleGlobalName(__pyx_n_s_ForgotGraph); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 224, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":226
 *                 ForgotGraph(
 *                     # Logistic function as activation function.
 *                     activation_function=LogisticFunction(),             # <<<<<<<<<<<<<<
 *                     # The number of `filter`.
 *                     filter_num=filter_num,
 */
    __pyx_t_4 = __Pyx_PyDict_NewPresized(7); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 226, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_8 = __Pyx_GetModuleGlobalName(__pyx_n_s_LogisticFunction); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 226, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_9 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) {
      __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_8);
      if (likely(__pyx_t_9)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
        __Pyx_INCREF(__pyx_t_9);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_8, function);
      }
    }
    if (__pyx_t_9) {
      __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_9); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 226, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    } else {
      __pyx_t_6 = __Pyx_PyObject_CallNoArg(__pyx_t_8); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 226, __pyx_L1_error)
    }
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_activation_function, __pyx_t_6) < 0) __PYX_ERR(0, 226, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":228
 *                     activation_function=LogisticFunction(),
 *                     # The number of `filter`.
 *                     filter_num=filter_num,             # <<<<<<<<<<<<<<
 *                     # The number of channel.
 *                     channel=channel,
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_filter_num); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 228, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_filter_num, __pyx_t_6) < 0) __PYX_ERR(0, 226, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":230
 *                     filter_num=filter_num,
 *                     # The number of channel.
 *                     channel=channel,             # <<<<<<<<<<<<<<
 *                     # The size of kernel.
 *                     kernel_size=kernel_size,
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_channel); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 230, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_channel, __pyx_t_6) < 0) __PYX_ERR(0, 226, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":232
 *                     channel=channel,
 *                     # The size of kernel.
 *                     kernel_size=kernel_size,             # <<<<<<<<<<<<<<
 *                     # The filter scale.
 *                     scale=scale,
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_kernel_size); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 232, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_kernel_size, __pyx_t_6) < 0) __PYX_ERR(0, 226, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":234
 *                     kernel_size=kernel_size,
 *                     # The filter scale.
 *                     scale=scale,             # <<<<<<<<<<<<<<
 *                     # The nubmer of stride.
 *                     stride=stride,
 */
    __pyx_t_6 = PyFloat_FromDouble(__pyx_v_scale); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 234, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_scale, __pyx_t_6) < 0) __PYX_ERR(0, 226, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":236
 *                     scale=scale,
 *                     # The nubmer of stride.
 *                     stride=stride,             # <<<<<<<<<<<<<<
 *                     # The number of zero-padding.
 *                     pad=pad
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_stride); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 236, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_stride, __pyx_t_6) < 0) __PYX_ERR(0, 226, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":238
 *                     stride=stride,
 *                     # The number of zero-padding.
 *                     pad=pad             # <<<<<<<<<<<<<<
 *                 )
 *             )
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_pad); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 238, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_4, __pyx_n_s_pad, __pyx_t_6) < 0) __PYX_ERR(0, 226, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":224
 *             self.__forgot_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 *                 ForgotGraph(             # <<<<<<<<<<<<<<
 *                     # Logistic function as activation function.
 *                     activation_function=LogisticFunction(),
 */
    __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_empty_tuple, __pyx_t_4); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 224, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) {
      __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_5);
      if (likely(__pyx_t_4)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
        __Pyx_INCREF(__pyx_t_4);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_5, function);
      }
    }
    if (!__pyx_t_4) {
      __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 222, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_3);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_4, __pyx_t_6};
        __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 222, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_4, __pyx_t_6};
        __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 222, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      } else
      #endif
      {
        __pyx_t_7 = PyTuple_New(1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 222, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_7);
        __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_4); __pyx_t_4 = NULL;
        __Pyx_GIVEREF(__pyx_t_6);
        PyTuple_SET_ITEM(__pyx_t_7, 0+1, __pyx_t_6);
        __pyx_t_6 = 0;
        __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_7, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 222, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":222
 * 
 *         if forgot_conv is None:
 *             self.__forgot_conv = ConvolutionLayer(             # <<<<<<<<<<<<<<
 *                 # Computation graph for first convolution layer.
 *                 ForgotGraph(
 */
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv, __pyx_t_3) < 0) __PYX_ERR(0, 222, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":241
 *                 )
 *             )
 *             if pre_learned_dir is not None:             # <<<<<<<<<<<<<<
 *                 self.__forgot_conv.graph.load_pre_learned_params(
 *                     pre_learned_dir + "conv_lstm_forgot_graph.npz"
 */
    __pyx_t_1 = (__pyx_v_pre_learned_dir != Py_None);
    __pyx_t_2 = (__pyx_t_1 != 0);
    if (__pyx_t_2) {

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":242
 *             )
 *             if pre_learned_dir is not None:
 *                 self.__forgot_conv.graph.load_pre_learned_params(             # <<<<<<<<<<<<<<
 *                     pre_learned_dir + "conv_lstm_forgot_graph.npz"
 *                 )
 */
      __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 242, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 242, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_load_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 242, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":243
 *             if pre_learned_dir is not None:
 *                 self.__forgot_conv.graph.load_pre_learned_params(
 *                     pre_learned_dir + "conv_lstm_forgot_graph.npz"             # <<<<<<<<<<<<<<
 *                 )
 *         else:
 */
      __pyx_t_7 = PyNumber_Add(__pyx_v_pre_learned_dir, __pyx_kp_s_conv_lstm_forgot_graph_npz); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 243, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_6 = NULL;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
        __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
        if (likely(__pyx_t_6)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
          __Pyx_INCREF(__pyx_t_6);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_5, function);
        }
      }
      if (!__pyx_t_6) {
        __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_7); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 242, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        __Pyx_GOTREF(__pyx_t_3);
      } else {
        #if CYTHON_FAST_PYCALL
        if (PyFunction_Check(__pyx_t_5)) {
          PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_7};
          __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 242, __pyx_L1_error)
          __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
          __Pyx_GOTREF(__pyx_t_3);
          __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        } else
        #endif
        #if CYTHON_FAST_PYCCALL
        if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
          PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_7};
          __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 242, __pyx_L1_error)
          __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
          __Pyx_GOTREF(__pyx_t_3);
          __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        } else
        #endif
        {
          __pyx_t_4 = PyTuple_New(1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 242, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_4);
          __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_6); __pyx_t_6 = NULL;
          __Pyx_GIVEREF(__pyx_t_7);
          PyTuple_SET_ITEM(__pyx_t_4, 0+1, __pyx_t_7);
          __pyx_t_7 = 0;
          __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_4, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 242, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_3);
          __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        }
      }
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":241
 *                 )
 *             )
 *             if pre_learned_dir is not None:             # <<<<<<<<<<<<<<
 *                 self.__forgot_conv.graph.load_pre_learned_params(
 *                     pre_learned_dir + "conv_lstm_forgot_graph.npz"
 */
    }

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":221
 *             self.__input_conv = input_conv
 * 
 *         if forgot_conv is None:             # <<<<<<<<<<<<<<
 *             self.__forgot_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 */
    goto __pyx_L8;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":246
 *                 )
 *         else:
 *             self.__forgot_conv = forgot_conv             # <<<<<<<<<<<<<<
 * 
 *         if output_conv is None:
 */
  /*else*/ {
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv, __pyx_v_forgot_conv) < 0) __PYX_ERR(0, 246, __pyx_L1_error)
  }
  __pyx_L8:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":248
 *             self.__forgot_conv = forgot_conv
 * 
 *         if output_conv is None:             # <<<<<<<<<<<<<<
 *             self.__output_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 */
  __pyx_t_2 = (__pyx_v_output_conv == Py_None);
  __pyx_t_1 = (__pyx_t_2 != 0);
  if (__pyx_t_1) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":249
 * 
 *         if output_conv is None:
 *             self.__output_conv = ConvolutionLayer(             # <<<<<<<<<<<<<<
 *                 # Computation graph for first convolution layer.
 *                 OutputGraph(
 */
    __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_ConvolutionLayer); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 249, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":251
 *             self.__output_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 *                 OutputGraph(             # <<<<<<<<<<<<<<
 *                     # Logistic function as activation function.
 *                     activation_function=TanhFunction(),
 */
    __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_OutputGraph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 251, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":253
 *                 OutputGraph(
 *                     # Logistic function as activation function.
 *                     activation_function=TanhFunction(),             # <<<<<<<<<<<<<<
 *                     # The number of `filter`.
 *                     filter_num=filter_num,
 */
    __pyx_t_7 = __Pyx_PyDict_NewPresized(7); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 253, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_t_8 = __Pyx_GetModuleGlobalName(__pyx_n_s_TanhFunction); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 253, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_9 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) {
      __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_8);
      if (likely(__pyx_t_9)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
        __Pyx_INCREF(__pyx_t_9);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_8, function);
      }
    }
    if (__pyx_t_9) {
      __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_9); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 253, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    } else {
      __pyx_t_6 = __Pyx_PyObject_CallNoArg(__pyx_t_8); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 253, __pyx_L1_error)
    }
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_activation_function, __pyx_t_6) < 0) __PYX_ERR(0, 253, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":255
 *                     activation_function=TanhFunction(),
 *                     # The number of `filter`.
 *                     filter_num=filter_num,             # <<<<<<<<<<<<<<
 *                     # The number of channel.
 *                     channel=channel,
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_filter_num); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 255, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_filter_num, __pyx_t_6) < 0) __PYX_ERR(0, 253, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":257
 *                     filter_num=filter_num,
 *                     # The number of channel.
 *                     channel=channel,             # <<<<<<<<<<<<<<
 *                     # The size of kernel.
 *                     kernel_size=kernel_size,
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_channel); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 257, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_channel, __pyx_t_6) < 0) __PYX_ERR(0, 253, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":259
 *                     channel=channel,
 *                     # The size of kernel.
 *                     kernel_size=kernel_size,             # <<<<<<<<<<<<<<
 *                     # The filter scale.
 *                     scale=scale,
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_kernel_size); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 259, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_kernel_size, __pyx_t_6) < 0) __PYX_ERR(0, 253, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":261
 *                     kernel_size=kernel_size,
 *                     # The filter scale.
 *                     scale=scale,             # <<<<<<<<<<<<<<
 *                     # The nubmer of stride.
 *                     stride=stride,
 */
    __pyx_t_6 = PyFloat_FromDouble(__pyx_v_scale); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 261, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_scale, __pyx_t_6) < 0) __PYX_ERR(0, 253, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":263
 *                     scale=scale,
 *                     # The nubmer of stride.
 *                     stride=stride,             # <<<<<<<<<<<<<<
 *                     # The number of zero-padding.
 *                     pad=pad
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_stride); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 263, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_stride, __pyx_t_6) < 0) __PYX_ERR(0, 253, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":265
 *                     stride=stride,
 *                     # The number of zero-padding.
 *                     pad=pad             # <<<<<<<<<<<<<<
 *                 )
 *             )
 */
    __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_pad); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 265, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_pad, __pyx_t_6) < 0) __PYX_ERR(0, 253, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":251
 *             self.__output_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 *                 OutputGraph(             # <<<<<<<<<<<<<<
 *                     # Logistic function as activation function.
 *                     activation_function=TanhFunction(),
 */
    __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_empty_tuple, __pyx_t_7); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 251, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_t_7 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) {
      __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_5);
      if (likely(__pyx_t_7)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
        __Pyx_INCREF(__pyx_t_7);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_5, function);
      }
    }
    if (!__pyx_t_7) {
      __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 249, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_3);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_6};
        __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 249, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_6};
        __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 249, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      } else
      #endif
      {
        __pyx_t_4 = PyTuple_New(1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 249, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_7); __pyx_t_7 = NULL;
        __Pyx_GIVEREF(__pyx_t_6);
        PyTuple_SET_ITEM(__pyx_t_4, 0+1, __pyx_t_6);
        __pyx_t_6 = 0;
        __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_4, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 249, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":249
 * 
 *         if output_conv is None:
 *             self.__output_conv = ConvolutionLayer(             # <<<<<<<<<<<<<<
 *                 # Computation graph for first convolution layer.
 *                 OutputGraph(
 */
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv, __pyx_t_3) < 0) __PYX_ERR(0, 249, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":268
 *                 )
 *             )
 *             if pre_learned_dir is not None:             # <<<<<<<<<<<<<<
 *                 self.__output_conv.graph.load_pre_learned_params(
 *                     pre_learned_dir + "conv_lstm_output_graph.npz"
 */
    __pyx_t_1 = (__pyx_v_pre_learned_dir != Py_None);
    __pyx_t_2 = (__pyx_t_1 != 0);
    if (__pyx_t_2) {

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":269
 *             )
 *             if pre_learned_dir is not None:
 *                 self.__output_conv.graph.load_pre_learned_params(             # <<<<<<<<<<<<<<
 *                     pre_learned_dir + "conv_lstm_output_graph.npz"
 *                 )
 */
      __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 269, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 269, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_load_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 269, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":270
 *             if pre_learned_dir is not None:
 *                 self.__output_conv.graph.load_pre_learned_params(
 *                     pre_learned_dir + "conv_lstm_output_graph.npz"             # <<<<<<<<<<<<<<
 *                 )
 *         else:
 */
      __pyx_t_4 = PyNumber_Add(__pyx_v_pre_learned_dir, __pyx_kp_s_conv_lstm_output_graph_npz); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 270, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_6 = NULL;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
        __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
        if (likely(__pyx_t_6)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
          __Pyx_INCREF(__pyx_t_6);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_5, function);
        }
      }
      if (!__pyx_t_6) {
        __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 269, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_GOTREF(__pyx_t_3);
      } else {
        #if CYTHON_FAST_PYCALL
        if (PyFunction_Check(__pyx_t_5)) {
          PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_4};
          __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 269, __pyx_L1_error)
          __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
          __Pyx_GOTREF(__pyx_t_3);
          __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        } else
        #endif
        #if CYTHON_FAST_PYCCALL
        if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
          PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_4};
          __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 269, __pyx_L1_error)
          __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
          __Pyx_GOTREF(__pyx_t_3);
          __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        } else
        #endif
        {
          __pyx_t_7 = PyTuple_New(1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 269, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_7);
          __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_6); __pyx_t_6 = NULL;
          __Pyx_GIVEREF(__pyx_t_4);
          PyTuple_SET_ITEM(__pyx_t_7, 0+1, __pyx_t_4);
          __pyx_t_4 = 0;
          __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_7, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 269, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_3);
          __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        }
      }
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":268
 *                 )
 *             )
 *             if pre_learned_dir is not None:             # <<<<<<<<<<<<<<
 *                 self.__output_conv.graph.load_pre_learned_params(
 *                     pre_learned_dir + "conv_lstm_output_graph.npz"
 */
    }

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":248
 *             self.__forgot_conv = forgot_conv
 * 
 *         if output_conv is None:             # <<<<<<<<<<<<<<
 *             self.__output_conv = ConvolutionLayer(
 *                 # Computation graph for first convolution layer.
 */
    goto __pyx_L10;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":273
 *                 )
 *         else:
 *             self.__output_conv = output_conv             # <<<<<<<<<<<<<<
 * 
 *         if isinstance(computable_loss, ComputableLoss):
 */
  /*else*/ {
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv, __pyx_v_output_conv) < 0) __PYX_ERR(0, 273, __pyx_L1_error)
  }
  __pyx_L10:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":275
 *             self.__output_conv = output_conv
 * 
 *         if isinstance(computable_loss, ComputableLoss):             # <<<<<<<<<<<<<<
 *             self.__computable_loss = computable_loss
 *         else:
 */
  __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_ComputableLoss); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 275, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_2 = PyObject_IsInstance(__pyx_v_computable_loss, __pyx_t_3); if (unlikely(__pyx_t_2 == ((int)-1))) __PYX_ERR(0, 275, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_1 = (__pyx_t_2 != 0);
  if (likely(__pyx_t_1)) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":276
 * 
 *         if isinstance(computable_loss, ComputableLoss):
 *             self.__computable_loss = computable_loss             # <<<<<<<<<<<<<<
 *         else:
 *             raise TypeError()
 */
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss, __pyx_v_computable_loss) < 0) __PYX_ERR(0, 276, __pyx_L1_error)

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":275
 *             self.__output_conv = output_conv
 * 
 *         if isinstance(computable_loss, ComputableLoss):             # <<<<<<<<<<<<<<
 *             self.__computable_loss = computable_loss
 *         else:
 */
    goto __pyx_L12;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":278
 *             self.__computable_loss = computable_loss
 *         else:
 *             raise TypeError()             # <<<<<<<<<<<<<<
 * 
 *         if isinstance(opt_params, OptParams):
 */
  /*else*/ {
    __pyx_t_3 = __Pyx_PyObject_CallNoArg(__pyx_builtin_TypeError); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 278, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_Raise(__pyx_t_3, 0, 0, 0);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __PYX_ERR(0, 278, __pyx_L1_error)
  }
  __pyx_L12:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":280
 *             raise TypeError()
 * 
 *         if isinstance(opt_params, OptParams):             # <<<<<<<<<<<<<<
 *             self.__opt_params = opt_params
 *             self.__dropout_rate = self.__opt_params.dropout_rate
 */
  __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_OptParams); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 280, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_1 = PyObject_IsInstance(__pyx_v_opt_params, __pyx_t_3); if (unlikely(__pyx_t_1 == ((int)-1))) __PYX_ERR(0, 280, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_2 = (__pyx_t_1 != 0);
  if (likely(__pyx_t_2)) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":281
 * 
 *         if isinstance(opt_params, OptParams):
 *             self.__opt_params = opt_params             # <<<<<<<<<<<<<<
 *             self.__dropout_rate = self.__opt_params.dropout_rate
 *         else:
 */
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params, __pyx_v_opt_params) < 0) __PYX_ERR(0, 281, __pyx_L1_error)

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":282
 *         if isinstance(opt_params, OptParams):
 *             self.__opt_params = opt_params
 *             self.__dropout_rate = self.__opt_params.dropout_rate             # <<<<<<<<<<<<<<
 *         else:
 *             raise TypeError()
 */
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 282, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_dropout_rate); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 282, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__dropout_rate, __pyx_t_5) < 0) __PYX_ERR(0, 282, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":280
 *             raise TypeError()
 * 
 *         if isinstance(opt_params, OptParams):             # <<<<<<<<<<<<<<
 *             self.__opt_params = opt_params
 *             self.__dropout_rate = self.__opt_params.dropout_rate
 */
    goto __pyx_L13;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":284
 *             self.__dropout_rate = self.__opt_params.dropout_rate
 *         else:
 *             raise TypeError()             # <<<<<<<<<<<<<<
 * 
 *         if isinstance(verificatable_result, VerificatableResult):
 */
  /*else*/ {
    __pyx_t_5 = __Pyx_PyObject_CallNoArg(__pyx_builtin_TypeError); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 284, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_Raise(__pyx_t_5, 0, 0, 0);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __PYX_ERR(0, 284, __pyx_L1_error)
  }
  __pyx_L13:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":286
 *             raise TypeError()
 * 
 *         if isinstance(verificatable_result, VerificatableResult):             # <<<<<<<<<<<<<<
 *             self.__verificatable_result = verificatable_result
 *         else:
 */
  __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_VerificatableResult); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 286, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_2 = PyObject_IsInstance(__pyx_v_verificatable_result, __pyx_t_5); if (unlikely(__pyx_t_2 == ((int)-1))) __PYX_ERR(0, 286, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_1 = (__pyx_t_2 != 0);
  if (likely(__pyx_t_1)) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":287
 * 
 *         if isinstance(verificatable_result, VerificatableResult):
 *             self.__verificatable_result = verificatable_result             # <<<<<<<<<<<<<<
 *         else:
 *             raise TypeError()
 */
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__verificatable_re, __pyx_v_verificatable_result) < 0) __PYX_ERR(0, 287, __pyx_L1_error)

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":286
 *             raise TypeError()
 * 
 *         if isinstance(verificatable_result, VerificatableResult):             # <<<<<<<<<<<<<<
 *             self.__verificatable_result = verificatable_result
 *         else:
 */
    goto __pyx_L14;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":289
 *             self.__verificatable_result = verificatable_result
 *         else:
 *             raise TypeError()             # <<<<<<<<<<<<<<
 * 
 *         self.__epochs = epochs
 */
  /*else*/ {
    __pyx_t_5 = __Pyx_PyObject_CallNoArg(__pyx_builtin_TypeError); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 289, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_Raise(__pyx_t_5, 0, 0, 0);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __PYX_ERR(0, 289, __pyx_L1_error)
  }
  __pyx_L14:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":291
 *             raise TypeError()
 * 
 *         self.__epochs = epochs             # <<<<<<<<<<<<<<
 *         self.__batch_size = batch_size
 * 
 */
  __pyx_t_5 = __Pyx_PyInt_From_int(__pyx_v_epochs); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 291, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__epochs, __pyx_t_5) < 0) __PYX_ERR(0, 291, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":292
 * 
 *         self.__epochs = epochs
 *         self.__batch_size = batch_size             # <<<<<<<<<<<<<<
 * 
 *         self.__learning_rate = learning_rate
 */
  __pyx_t_5 = __Pyx_PyInt_From_int(__pyx_v_batch_size); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 292, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__batch_size, __pyx_t_5) < 0) __PYX_ERR(0, 292, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":294
 *         self.__batch_size = batch_size
 * 
 *         self.__learning_rate = learning_rate             # <<<<<<<<<<<<<<
 *         self.__learning_attenuate_rate = learning_attenuate_rate
 *         self.__attenuate_epoch = attenuate_epoch
 */
  __pyx_t_5 = PyFloat_FromDouble(__pyx_v_learning_rate); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 294, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__learning_rate, __pyx_t_5) < 0) __PYX_ERR(0, 294, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":295
 * 
 *         self.__learning_rate = learning_rate
 *         self.__learning_attenuate_rate = learning_attenuate_rate             # <<<<<<<<<<<<<<
 *         self.__attenuate_epoch = attenuate_epoch
 * 
 */
  __pyx_t_5 = PyFloat_FromDouble(__pyx_v_learning_attenuate_rate); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 295, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__learning_attenua, __pyx_t_5) < 0) __PYX_ERR(0, 295, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":296
 *         self.__learning_rate = learning_rate
 *         self.__learning_attenuate_rate = learning_attenuate_rate
 *         self.__attenuate_epoch = attenuate_epoch             # <<<<<<<<<<<<<<
 * 
 *         self.__seq_len = seq_len
 */
  __pyx_t_5 = __Pyx_PyInt_From_int(__pyx_v_attenuate_epoch); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 296, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__attenuate_epoch, __pyx_t_5) < 0) __PYX_ERR(0, 296, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":298
 *         self.__attenuate_epoch = attenuate_epoch
 * 
 *         self.__seq_len = seq_len             # <<<<<<<<<<<<<<
 *         self.__bptt_tau = bptt_tau
 * 
 */
  __pyx_t_5 = __Pyx_PyInt_From_int(__pyx_v_seq_len); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 298, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__seq_len, __pyx_t_5) < 0) __PYX_ERR(0, 298, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":299
 * 
 *         self.__seq_len = seq_len
 *         self.__bptt_tau = bptt_tau             # <<<<<<<<<<<<<<
 * 
 *         self.__test_size_rate = test_size_rate
 */
  __pyx_t_5 = __Pyx_PyInt_From_int(__pyx_v_bptt_tau); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 299, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__bptt_tau, __pyx_t_5) < 0) __PYX_ERR(0, 299, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":301
 *         self.__bptt_tau = bptt_tau
 * 
 *         self.__test_size_rate = test_size_rate             # <<<<<<<<<<<<<<
 *         self.__tol = tol
 *         self.__tld = tld
 */
  __pyx_t_5 = PyFloat_FromDouble(__pyx_v_test_size_rate); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 301, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__test_size_rate, __pyx_t_5) < 0) __PYX_ERR(0, 301, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":302
 * 
 *         self.__test_size_rate = test_size_rate
 *         self.__tol = tol             # <<<<<<<<<<<<<<
 *         self.__tld = tld
 * 
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__tol, __pyx_v_tol) < 0) __PYX_ERR(0, 302, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":303
 *         self.__test_size_rate = test_size_rate
 *         self.__tol = tol
 *         self.__tld = tld             # <<<<<<<<<<<<<<
 * 
 *         self.__memory_tuple_list = []
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__tld, __pyx_v_tld) < 0) __PYX_ERR(0, 303, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":305
 *         self.__tld = tld
 * 
 *         self.__memory_tuple_list = []             # <<<<<<<<<<<<<<
 *         self.__cycle_len = 1
 * 
 */
  __pyx_t_5 = PyList_New(0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 305, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__memory_tuple_lis, __pyx_t_5) < 0) __PYX_ERR(0, 305, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":306
 * 
 *         self.__memory_tuple_list = []
 *         self.__cycle_len = 1             # <<<<<<<<<<<<<<
 * 
 *         logger = getLogger("pydbm")
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__cycle_len, __pyx_int_1) < 0) __PYX_ERR(0, 306, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":308
 *         self.__cycle_len = 1
 * 
 *         logger = getLogger("pydbm")             # <<<<<<<<<<<<<<
 *         self.__logger = logger
 * 
 */
  __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_getLogger); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 308, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_tuple_, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 308, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_v_logger = __pyx_t_3;
  __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":309
 * 
 *         logger = getLogger("pydbm")
 *         self.__logger = logger             # <<<<<<<<<<<<<<
 * 
 *     def learn(self, np.ndarray[DOUBLE_t, ndim=5] observed_arr, np.ndarray target_arr=np.array([])):
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__logger, __pyx_v_logger) < 0) __PYX_ERR(0, 309, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":72
 *     __hidden_shape = None
 * 
 *     def __init__(             # <<<<<<<<<<<<<<
 *         self,
 *         graph,
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_XDECREF(__pyx_t_9);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.__init__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_logger);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":311
 *         self.__logger = logger
 * 
 *     def learn(self, np.ndarray[DOUBLE_t, ndim=5] observed_arr, np.ndarray target_arr=np.array([])):             # <<<<<<<<<<<<<<
 *         '''
 *         Learn the observed data points
 */

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model___defaults__(CYTHON_UNUSED PyObject *__pyx_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  __Pyx_RefNannySetupContext("__defaults__", 0);
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 311, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_INCREF(((PyObject *)__Pyx_CyFunction_Defaults(__pyx_defaults, __pyx_self)->__pyx_arg_target_arr));
  __Pyx_GIVEREF(((PyObject *)__Pyx_CyFunction_Defaults(__pyx_defaults, __pyx_self)->__pyx_arg_target_arr));
  PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__Pyx_CyFunction_Defaults(__pyx_defaults, __pyx_self)->__pyx_arg_target_arr));
  __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 311, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1);
  __Pyx_INCREF(Py_None);
  __Pyx_GIVEREF(Py_None);
  PyTuple_SET_ITEM(__pyx_t_2, 1, Py_None);
  __pyx_t_1 = 0;
  __pyx_r = __pyx_t_2;
  __pyx_t_2 = 0;
  goto __pyx_L0;

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.__defaults__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_7learn(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_6learn[] = "\n        Learn the observed data points\n        for vector representation of the input time-series.\n\n        Override.\n\n        Args:\n            observed_arr:       Array like or sparse matrix as the observed data points.\n            target_arr:         Array like or sparse matrix as the target data points.\n                                To learn as Auto-encoder, this value must be `None` or equivalent to `observed_arr`.\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_7learn = {"learn", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_7learn, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_6learn};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_7learn(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyArrayObject *__pyx_v_observed_arr = 0;
  PyArrayObject *__pyx_v_target_arr = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("learn (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_observed_arr,&__pyx_n_s_target_arr,0};
    PyObject* values[3] = {0,0,0};
    __pyx_defaults *__pyx_dynamic_args = __Pyx_CyFunction_Defaults(__pyx_defaults, __pyx_self);
    values[2] = (PyObject *)__pyx_dynamic_args->__pyx_arg_target_arr;
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_observed_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("learn", 0, 2, 3, 1); __PYX_ERR(0, 311, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_target_arr);
          if (value) { values[2] = value; kw_args--; }
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "learn") < 0)) __PYX_ERR(0, 311, __pyx_L3_error)
      }
    } else {
      switch (PyTuple_GET_SIZE(__pyx_args)) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        break;
        default: goto __pyx_L5_argtuple_error;
      }
    }
    __pyx_v_self = values[0];
    __pyx_v_observed_arr = ((PyArrayObject *)values[1]);
    __pyx_v_target_arr = ((PyArrayObject *)values[2]);
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("learn", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 311, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.learn", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_observed_arr), __pyx_ptype_5numpy_ndarray, 1, "observed_arr", 0))) __PYX_ERR(0, 311, __pyx_L1_error)
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_target_arr), __pyx_ptype_5numpy_ndarray, 1, "target_arr", 0))) __PYX_ERR(0, 311, __pyx_L1_error)
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_6learn(__pyx_self, __pyx_v_self, __pyx_v_observed_arr, __pyx_v_target_arr);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_6learn(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_observed_arr, PyArrayObject *__pyx_v_target_arr) {
  double __pyx_v_learning_rate;
  int __pyx_v_epoch;
  int __pyx_v_row_o;
  int __pyx_v_row_t;
  PyArrayObject *__pyx_v_train_index = 0;
  PyArrayObject *__pyx_v_test_index = 0;
  PyArrayObject *__pyx_v_train_observed_arr = 0;
  PyArrayObject *__pyx_v_train_target_arr = 0;
  PyArrayObject *__pyx_v_test_observed_arr = 0;
  PyArrayObject *__pyx_v_test_target_arr = 0;
  PyArrayObject *__pyx_v_rand_index = 0;
  PyArrayObject *__pyx_v_batch_observed_arr = 0;
  PyArrayObject *__pyx_v_batch_target_arr = 0;
  double __pyx_v_loss;
  double __pyx_v_test_loss;
  PyArrayObject *__pyx_v_pred_arr = 0;
  PyArrayObject *__pyx_v_test_pred_arr = 0;
  PyArrayObject *__pyx_v_delta_arr = 0;
  PyObject *__pyx_v_best_params_list = NULL;
  PyObject *__pyx_v_loss_list = NULL;
  PyObject *__pyx_v_min_loss = NULL;
  int __pyx_v_eary_stop_flag;
  PyObject *__pyx_v_ver_pred_arr = NULL;
  PyObject *__pyx_v_train_weight_decay = NULL;
  int __pyx_v_remember_flag;
  CYTHON_UNUSED PyObject *__pyx_v__delta_arr = NULL;
  PyObject *__pyx_v_grads_list = NULL;
  PyObject *__pyx_v_test_batch_observed_arr = NULL;
  PyObject *__pyx_v_test_batch_target_arr = NULL;
  PyObject *__pyx_v_test_weight_decay = NULL;
  PyObject *__pyx_v_train_label_arr = NULL;
  PyObject *__pyx_v_test_label_arr = NULL;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_batch_observed_arr;
  __Pyx_Buffer __pyx_pybuffer_batch_observed_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_observed_arr;
  __Pyx_Buffer __pyx_pybuffer_observed_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_test_observed_arr;
  __Pyx_Buffer __pyx_pybuffer_test_observed_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_train_observed_arr;
  __Pyx_Buffer __pyx_pybuffer_train_observed_arr;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  double __pyx_t_3;
  int __pyx_t_4;
  int __pyx_t_5;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  PyArrayObject *__pyx_t_9 = NULL;
  int __pyx_t_10;
  PyObject *__pyx_t_11 = NULL;
  PyObject *__pyx_t_12 = NULL;
  PyObject *__pyx_t_13 = NULL;
  PyArrayObject *__pyx_t_14 = NULL;
  long __pyx_t_15;
  long __pyx_t_16;
  PyArrayObject *__pyx_t_17 = NULL;
  int __pyx_t_18;
  PyObject *__pyx_t_19 = NULL;
  PyObject *__pyx_t_20 = NULL;
  PyObject *__pyx_t_21 = NULL;
  PyObject *__pyx_t_22 = NULL;
  PyObject *__pyx_t_23 = NULL;
  Py_ssize_t __pyx_t_24;
  PyObject *(*__pyx_t_25)(PyObject *);
  int __pyx_t_26;
  PyObject *__pyx_t_27 = NULL;
  PyObject *__pyx_t_28 = NULL;
  int __pyx_t_29;
  __Pyx_RefNannySetupContext("learn", 0);
  __Pyx_INCREF((PyObject *)__pyx_v_target_arr);
  __pyx_pybuffer_train_observed_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_train_observed_arr.refcount = 0;
  __pyx_pybuffernd_train_observed_arr.data = NULL;
  __pyx_pybuffernd_train_observed_arr.rcbuffer = &__pyx_pybuffer_train_observed_arr;
  __pyx_pybuffer_test_observed_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_test_observed_arr.refcount = 0;
  __pyx_pybuffernd_test_observed_arr.data = NULL;
  __pyx_pybuffernd_test_observed_arr.rcbuffer = &__pyx_pybuffer_test_observed_arr;
  __pyx_pybuffer_batch_observed_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_batch_observed_arr.refcount = 0;
  __pyx_pybuffernd_batch_observed_arr.data = NULL;
  __pyx_pybuffernd_batch_observed_arr.rcbuffer = &__pyx_pybuffer_batch_observed_arr;
  __pyx_pybuffer_observed_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_observed_arr.refcount = 0;
  __pyx_pybuffernd_observed_arr.data = NULL;
  __pyx_pybuffernd_observed_arr.rcbuffer = &__pyx_pybuffer_observed_arr;
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_observed_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_observed_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) __PYX_ERR(0, 311, __pyx_L1_error)
  }
  __pyx_pybuffernd_observed_arr.diminfo[0].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_observed_arr.diminfo[0].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_observed_arr.diminfo[1].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_observed_arr.diminfo[1].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_observed_arr.diminfo[2].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_observed_arr.diminfo[2].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_observed_arr.diminfo[3].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_observed_arr.diminfo[3].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_observed_arr.diminfo[4].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_observed_arr.diminfo[4].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[4];

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":323
 *                                 To learn as Auto-encoder, this value must be `None` or equivalent to `observed_arr`.
 *         '''
 *         self.__logger.debug("pydbm.rnn.lstm_model.learn is started. ")             # <<<<<<<<<<<<<<
 * 
 *         cdef double learning_rate = self.__learning_rate
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__logger); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 323, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_debug); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 323, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_tuple__2, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 323, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":325
 *         self.__logger.debug("pydbm.rnn.lstm_model.learn is started. ")
 * 
 *         cdef double learning_rate = self.__learning_rate             # <<<<<<<<<<<<<<
 *         cdef int epoch
 *         cdef int batch_index
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__learning_rate); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 325, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_3 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_3 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 325, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_v_learning_rate = __pyx_t_3;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":329
 *         cdef int batch_index
 * 
 *         cdef int row_o = observed_arr.shape[0]             # <<<<<<<<<<<<<<
 *         cdef int row_t = target_arr.shape[0]
 * 
 */
  __pyx_v_row_o = (__pyx_v_observed_arr->dimensions[0]);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":330
 * 
 *         cdef int row_o = observed_arr.shape[0]
 *         cdef int row_t = target_arr.shape[0]             # <<<<<<<<<<<<<<
 * 
 *         cdef np.ndarray train_index
 */
  __pyx_v_row_t = (__pyx_v_target_arr->dimensions[0]);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":343
 *         cdef np.ndarray batch_target_arr
 * 
 *         if row_t != 0 and row_t != row_o:             # <<<<<<<<<<<<<<
 *             raise ValueError("The row of `target_arr` must be equivalent to the row of `observed_arr`.")
 * 
 */
  __pyx_t_5 = ((__pyx_v_row_t != 0) != 0);
  if (__pyx_t_5) {
  } else {
    __pyx_t_4 = __pyx_t_5;
    goto __pyx_L4_bool_binop_done;
  }
  __pyx_t_5 = ((__pyx_v_row_t != __pyx_v_row_o) != 0);
  __pyx_t_4 = __pyx_t_5;
  __pyx_L4_bool_binop_done:;
  if (unlikely(__pyx_t_4)) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":344
 * 
 *         if row_t != 0 and row_t != row_o:
 *             raise ValueError("The row of `target_arr` must be equivalent to the row of `observed_arr`.")             # <<<<<<<<<<<<<<
 * 
 *         if row_t == 0:
 */
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__3, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 344, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_Raise(__pyx_t_1, 0, 0, 0);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __PYX_ERR(0, 344, __pyx_L1_error)

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":343
 *         cdef np.ndarray batch_target_arr
 * 
 *         if row_t != 0 and row_t != row_o:             # <<<<<<<<<<<<<<
 *             raise ValueError("The row of `target_arr` must be equivalent to the row of `observed_arr`.")
 * 
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":346
 *             raise ValueError("The row of `target_arr` must be equivalent to the row of `observed_arr`.")
 * 
 *         if row_t == 0:             # <<<<<<<<<<<<<<
 *             target_arr = observed_arr.copy()
 *         else:
 */
  __pyx_t_4 = ((__pyx_v_row_t == 0) != 0);
  if (__pyx_t_4) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":347
 * 
 *         if row_t == 0:
 *             target_arr = observed_arr.copy()             # <<<<<<<<<<<<<<
 *         else:
 *             if target_arr.ndim == 2:
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_observed_arr), __pyx_n_s_copy); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 347, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_6 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
      __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_2);
      if (likely(__pyx_t_6)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
        __Pyx_INCREF(__pyx_t_6);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_2, function);
      }
    }
    if (__pyx_t_6) {
      __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_6); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 347, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    } else {
      __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 347, __pyx_L1_error)
    }
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 347, __pyx_L1_error)
    __Pyx_DECREF_SET(__pyx_v_target_arr, ((PyArrayObject *)__pyx_t_1));
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":346
 *             raise ValueError("The row of `target_arr` must be equivalent to the row of `observed_arr`.")
 * 
 *         if row_t == 0:             # <<<<<<<<<<<<<<
 *             target_arr = observed_arr.copy()
 *         else:
 */
    goto __pyx_L6;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":349
 *             target_arr = observed_arr.copy()
 *         else:
 *             if target_arr.ndim == 2:             # <<<<<<<<<<<<<<
 *                 target_arr = target_arr.reshape((target_arr.shape[0], 1, target_arr.shape[1]))
 * 
 */
  /*else*/ {
    __pyx_t_4 = ((__pyx_v_target_arr->nd == 2) != 0);
    if (__pyx_t_4) {

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":350
 *         else:
 *             if target_arr.ndim == 2:
 *                 target_arr = target_arr.reshape((target_arr.shape[0], 1, target_arr.shape[1]))             # <<<<<<<<<<<<<<
 * 
 *         if self.__test_size_rate > 0:
 */
      __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_target_arr), __pyx_n_s_reshape); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 350, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __pyx_t_6 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_target_arr->dimensions[0])); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 350, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      __pyx_t_7 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_target_arr->dimensions[1])); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 350, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_8 = PyTuple_New(3); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 350, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_GIVEREF(__pyx_t_6);
      PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_6);
      __Pyx_INCREF(__pyx_int_1);
      __Pyx_GIVEREF(__pyx_int_1);
      PyTuple_SET_ITEM(__pyx_t_8, 1, __pyx_int_1);
      __Pyx_GIVEREF(__pyx_t_7);
      PyTuple_SET_ITEM(__pyx_t_8, 2, __pyx_t_7);
      __pyx_t_6 = 0;
      __pyx_t_7 = 0;
      __pyx_t_7 = NULL;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
        __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_2);
        if (likely(__pyx_t_7)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
          __Pyx_INCREF(__pyx_t_7);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_2, function);
        }
      }
      if (!__pyx_t_7) {
        __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 350, __pyx_L1_error)
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        __Pyx_GOTREF(__pyx_t_1);
      } else {
        #if CYTHON_FAST_PYCALL
        if (PyFunction_Check(__pyx_t_2)) {
          PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_8};
          __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 350, __pyx_L1_error)
          __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
          __Pyx_GOTREF(__pyx_t_1);
          __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        } else
        #endif
        #if CYTHON_FAST_PYCCALL
        if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
          PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_8};
          __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 350, __pyx_L1_error)
          __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
          __Pyx_GOTREF(__pyx_t_1);
          __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        } else
        #endif
        {
          __pyx_t_6 = PyTuple_New(1+1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 350, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_6);
          __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); __pyx_t_7 = NULL;
          __Pyx_GIVEREF(__pyx_t_8);
          PyTuple_SET_ITEM(__pyx_t_6, 0+1, __pyx_t_8);
          __pyx_t_8 = 0;
          __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_6, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 350, __pyx_L1_error)
          __Pyx_GOTREF(__pyx_t_1);
          __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
        }
      }
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 350, __pyx_L1_error)
      __Pyx_DECREF_SET(__pyx_v_target_arr, ((PyArrayObject *)__pyx_t_1));
      __pyx_t_1 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":349
 *             target_arr = observed_arr.copy()
 *         else:
 *             if target_arr.ndim == 2:             # <<<<<<<<<<<<<<
 *                 target_arr = target_arr.reshape((target_arr.shape[0], 1, target_arr.shape[1]))
 * 
 */
    }
  }
  __pyx_L6:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":352
 *                 target_arr = target_arr.reshape((target_arr.shape[0], 1, target_arr.shape[1]))
 * 
 *         if self.__test_size_rate > 0:             # <<<<<<<<<<<<<<
 *             train_index = np.random.choice(observed_arr.shape[0], round(self.__test_size_rate * observed_arr.shape[0]), replace=False)
 *             test_index = np.array(list(set(range(observed_arr.shape[0])) - set(train_index)))
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__test_size_rate); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 352, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyObject_RichCompare(__pyx_t_1, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 352, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 352, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (__pyx_t_4) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":353
 * 
 *         if self.__test_size_rate > 0:
 *             train_index = np.random.choice(observed_arr.shape[0], round(self.__test_size_rate * observed_arr.shape[0]), replace=False)             # <<<<<<<<<<<<<<
 *             test_index = np.array(list(set(range(observed_arr.shape[0])) - set(train_index)))
 *             train_observed_arr = observed_arr[train_index]
 */
    __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 353, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_random); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 353, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_choice); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 353, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_observed_arr->dimensions[0])); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 353, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__test_size_rate); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 353, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __pyx_t_8 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_observed_arr->dimensions[0])); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 353, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_7 = PyNumber_Multiply(__pyx_t_6, __pyx_t_8); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 353, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    __pyx_t_8 = __Pyx_PyObject_CallOneArg(__pyx_builtin_round, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 353, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_t_7 = PyTuple_New(2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 353, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_GIVEREF(__pyx_t_1);
    PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1);
    __Pyx_GIVEREF(__pyx_t_8);
    PyTuple_SET_ITEM(__pyx_t_7, 1, __pyx_t_8);
    __pyx_t_1 = 0;
    __pyx_t_8 = 0;
    __pyx_t_8 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 353, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_replace, Py_False) < 0) __PYX_ERR(0, 353, __pyx_L1_error)
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_7, __pyx_t_8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 353, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 353, __pyx_L1_error)
    __pyx_v_train_index = ((PyArrayObject *)__pyx_t_1);
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":354
 *         if self.__test_size_rate > 0:
 *             train_index = np.random.choice(observed_arr.shape[0], round(self.__test_size_rate * observed_arr.shape[0]), replace=False)
 *             test_index = np.array(list(set(range(observed_arr.shape[0])) - set(train_index)))             # <<<<<<<<<<<<<<
 *             train_observed_arr = observed_arr[train_index]
 *             test_observed_arr = observed_arr[test_index]
 */
    __pyx_t_8 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 354, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_array); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 354, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    __pyx_t_8 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_observed_arr->dimensions[0])); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 354, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_builtin_range, __pyx_t_8); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 354, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    __pyx_t_8 = PySet_New(__pyx_t_2); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 354, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = PySet_New(((PyObject *)__pyx_v_train_index)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 354, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_6 = PyNumber_Subtract(__pyx_t_8, __pyx_t_2); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 354, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = PySequence_List(__pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 354, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __pyx_t_6 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_7))) {
      __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_7);
      if (likely(__pyx_t_6)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
        __Pyx_INCREF(__pyx_t_6);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_7, function);
      }
    }
    if (!__pyx_t_6) {
      __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 354, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_7)) {
        PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_2};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_7, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 354, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_7)) {
        PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_2};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_7, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 354, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      } else
      #endif
      {
        __pyx_t_8 = PyTuple_New(1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 354, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_8);
        __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_6); __pyx_t_6 = NULL;
        __Pyx_GIVEREF(__pyx_t_2);
        PyTuple_SET_ITEM(__pyx_t_8, 0+1, __pyx_t_2);
        __pyx_t_2 = 0;
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_8, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 354, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 354, __pyx_L1_error)
    __pyx_v_test_index = ((PyArrayObject *)__pyx_t_1);
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":355
 *             train_index = np.random.choice(observed_arr.shape[0], round(self.__test_size_rate * observed_arr.shape[0]), replace=False)
 *             test_index = np.array(list(set(range(observed_arr.shape[0])) - set(train_index)))
 *             train_observed_arr = observed_arr[train_index]             # <<<<<<<<<<<<<<
 *             test_observed_arr = observed_arr[test_index]
 *             train_target_arr = target_arr[train_index]
 */
    __pyx_t_1 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_observed_arr), ((PyObject *)__pyx_v_train_index)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 355, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 355, __pyx_L1_error)
    __pyx_t_9 = ((PyArrayObject *)__pyx_t_1);
    {
      __Pyx_BufFmt_StackElem __pyx_stack[1];
      __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer);
      __pyx_t_10 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_9, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack);
      if (unlikely(__pyx_t_10 < 0)) {
        PyErr_Fetch(&__pyx_t_11, &__pyx_t_12, &__pyx_t_13);
        if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_train_observed_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) {
          Py_XDECREF(__pyx_t_11); Py_XDECREF(__pyx_t_12); Py_XDECREF(__pyx_t_13);
          __Pyx_RaiseBufferFallbackError();
        } else {
          PyErr_Restore(__pyx_t_11, __pyx_t_12, __pyx_t_13);
        }
        __pyx_t_11 = __pyx_t_12 = __pyx_t_13 = 0;
      }
      __pyx_pybuffernd_train_observed_arr.diminfo[0].strides = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_train_observed_arr.diminfo[0].shape = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_train_observed_arr.diminfo[1].strides = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_train_observed_arr.diminfo[1].shape = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_train_observed_arr.diminfo[2].strides = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_train_observed_arr.diminfo[2].shape = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_train_observed_arr.diminfo[3].strides = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_train_observed_arr.diminfo[3].shape = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_train_observed_arr.diminfo[4].strides = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_train_observed_arr.diminfo[4].shape = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.shape[4];
      if (unlikely(__pyx_t_10 < 0)) __PYX_ERR(0, 355, __pyx_L1_error)
    }
    __pyx_t_9 = 0;
    __pyx_v_train_observed_arr = ((PyArrayObject *)__pyx_t_1);
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":356
 *             test_index = np.array(list(set(range(observed_arr.shape[0])) - set(train_index)))
 *             train_observed_arr = observed_arr[train_index]
 *             test_observed_arr = observed_arr[test_index]             # <<<<<<<<<<<<<<
 *             train_target_arr = target_arr[train_index]
 *             test_target_arr = target_arr[test_index]
 */
    __pyx_t_1 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_observed_arr), ((PyObject *)__pyx_v_test_index)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 356, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 356, __pyx_L1_error)
    __pyx_t_14 = ((PyArrayObject *)__pyx_t_1);
    {
      __Pyx_BufFmt_StackElem __pyx_stack[1];
      __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer);
      __pyx_t_10 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_14, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack);
      if (unlikely(__pyx_t_10 < 0)) {
        PyErr_Fetch(&__pyx_t_13, &__pyx_t_12, &__pyx_t_11);
        if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_test_observed_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) {
          Py_XDECREF(__pyx_t_13); Py_XDECREF(__pyx_t_12); Py_XDECREF(__pyx_t_11);
          __Pyx_RaiseBufferFallbackError();
        } else {
          PyErr_Restore(__pyx_t_13, __pyx_t_12, __pyx_t_11);
        }
        __pyx_t_13 = __pyx_t_12 = __pyx_t_11 = 0;
      }
      __pyx_pybuffernd_test_observed_arr.diminfo[0].strides = __pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_test_observed_arr.diminfo[0].shape = __pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_test_observed_arr.diminfo[1].strides = __pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_test_observed_arr.diminfo[1].shape = __pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_test_observed_arr.diminfo[2].strides = __pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_test_observed_arr.diminfo[2].shape = __pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_test_observed_arr.diminfo[3].strides = __pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_test_observed_arr.diminfo[3].shape = __pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_test_observed_arr.diminfo[4].strides = __pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_test_observed_arr.diminfo[4].shape = __pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer.shape[4];
      if (unlikely(__pyx_t_10 < 0)) __PYX_ERR(0, 356, __pyx_L1_error)
    }
    __pyx_t_14 = 0;
    __pyx_v_test_observed_arr = ((PyArrayObject *)__pyx_t_1);
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":357
 *             train_observed_arr = observed_arr[train_index]
 *             test_observed_arr = observed_arr[test_index]
 *             train_target_arr = target_arr[train_index]             # <<<<<<<<<<<<<<
 *             test_target_arr = target_arr[test_index]
 *         else:
 */
    __pyx_t_1 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_target_arr), ((PyObject *)__pyx_v_train_index)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 357, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 357, __pyx_L1_error)
    __pyx_v_train_target_arr = ((PyArrayObject *)__pyx_t_1);
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":358
 *             test_observed_arr = observed_arr[test_index]
 *             train_target_arr = target_arr[train_index]
 *             test_target_arr = target_arr[test_index]             # <<<<<<<<<<<<<<
 *         else:
 *             train_observed_arr = observed_arr
 */
    __pyx_t_1 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_target_arr), ((PyObject *)__pyx_v_test_index)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 358, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 358, __pyx_L1_error)
    __pyx_v_test_target_arr = ((PyArrayObject *)__pyx_t_1);
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":352
 *                 target_arr = target_arr.reshape((target_arr.shape[0], 1, target_arr.shape[1]))
 * 
 *         if self.__test_size_rate > 0:             # <<<<<<<<<<<<<<
 *             train_index = np.random.choice(observed_arr.shape[0], round(self.__test_size_rate * observed_arr.shape[0]), replace=False)
 *             test_index = np.array(list(set(range(observed_arr.shape[0])) - set(train_index)))
 */
    goto __pyx_L8;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":360
 *             test_target_arr = target_arr[test_index]
 *         else:
 *             train_observed_arr = observed_arr             # <<<<<<<<<<<<<<
 *             train_target_arr = observed_arr
 * 
 */
  /*else*/ {
    {
      __Pyx_BufFmt_StackElem __pyx_stack[1];
      __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer);
      __pyx_t_10 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer, (PyObject*)((PyArrayObject *)__pyx_v_observed_arr), &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack);
      if (unlikely(__pyx_t_10 < 0)) {
        PyErr_Fetch(&__pyx_t_11, &__pyx_t_12, &__pyx_t_13);
        if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_train_observed_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) {
          Py_XDECREF(__pyx_t_11); Py_XDECREF(__pyx_t_12); Py_XDECREF(__pyx_t_13);
          __Pyx_RaiseBufferFallbackError();
        } else {
          PyErr_Restore(__pyx_t_11, __pyx_t_12, __pyx_t_13);
        }
        __pyx_t_11 = __pyx_t_12 = __pyx_t_13 = 0;
      }
      __pyx_pybuffernd_train_observed_arr.diminfo[0].strides = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_train_observed_arr.diminfo[0].shape = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_train_observed_arr.diminfo[1].strides = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_train_observed_arr.diminfo[1].shape = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_train_observed_arr.diminfo[2].strides = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_train_observed_arr.diminfo[2].shape = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_train_observed_arr.diminfo[3].strides = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_train_observed_arr.diminfo[3].shape = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_train_observed_arr.diminfo[4].strides = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_train_observed_arr.diminfo[4].shape = __pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer.shape[4];
      if (unlikely(__pyx_t_10 < 0)) __PYX_ERR(0, 360, __pyx_L1_error)
    }
    __Pyx_INCREF(((PyObject *)__pyx_v_observed_arr));
    __pyx_v_train_observed_arr = ((PyArrayObject *)__pyx_v_observed_arr);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":361
 *         else:
 *             train_observed_arr = observed_arr
 *             train_target_arr = observed_arr             # <<<<<<<<<<<<<<
 * 
 *         cdef double loss
 */
    __Pyx_INCREF(((PyObject *)__pyx_v_observed_arr));
    __pyx_v_train_target_arr = ((PyArrayObject *)__pyx_v_observed_arr);
  }
  __pyx_L8:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":369
 *         cdef np.ndarray delta_arr
 * 
 *         best_params_list = []             # <<<<<<<<<<<<<<
 *         try:
 *             self.__opt_params.dropout_rate = self.__dropout_rate
 */
  __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 369, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_v_best_params_list = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":370
 * 
 *         best_params_list = []
 *         try:             # <<<<<<<<<<<<<<
 *             self.__opt_params.dropout_rate = self.__dropout_rate
 *             self.__opt_params.inferencing_mode = False
 */
  {
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ExceptionSave(&__pyx_t_13, &__pyx_t_12, &__pyx_t_11);
    __Pyx_XGOTREF(__pyx_t_13);
    __Pyx_XGOTREF(__pyx_t_12);
    __Pyx_XGOTREF(__pyx_t_11);
    /*try:*/ {

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":371
 *         best_params_list = []
 *         try:
 *             self.__opt_params.dropout_rate = self.__dropout_rate             # <<<<<<<<<<<<<<
 *             self.__opt_params.inferencing_mode = False
 *             self.__memory_tuple_list = []
 */
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__dropout_rate); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 371, __pyx_L9_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 371, __pyx_L9_error)
      __Pyx_GOTREF(__pyx_t_7);
      if (__Pyx_PyObject_SetAttrStr(__pyx_t_7, __pyx_n_s_dropout_rate, __pyx_t_1) < 0) __PYX_ERR(0, 371, __pyx_L9_error)
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":372
 *         try:
 *             self.__opt_params.dropout_rate = self.__dropout_rate
 *             self.__opt_params.inferencing_mode = False             # <<<<<<<<<<<<<<
 *             self.__memory_tuple_list = []
 *             loss_list = []
 */
      __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 372, __pyx_L9_error)
      __Pyx_GOTREF(__pyx_t_7);
      if (__Pyx_PyObject_SetAttrStr(__pyx_t_7, __pyx_n_s_inferencing_mode, Py_False) < 0) __PYX_ERR(0, 372, __pyx_L9_error)
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":373
 *             self.__opt_params.dropout_rate = self.__dropout_rate
 *             self.__opt_params.inferencing_mode = False
 *             self.__memory_tuple_list = []             # <<<<<<<<<<<<<<
 *             loss_list = []
 *             min_loss = None
 */
      __pyx_t_7 = PyList_New(0); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 373, __pyx_L9_error)
      __Pyx_GOTREF(__pyx_t_7);
      if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__memory_tuple_lis, __pyx_t_7) < 0) __PYX_ERR(0, 373, __pyx_L9_error)
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":374
 *             self.__opt_params.inferencing_mode = False
 *             self.__memory_tuple_list = []
 *             loss_list = []             # <<<<<<<<<<<<<<
 *             min_loss = None
 *             eary_stop_flag = False
 */
      __pyx_t_7 = PyList_New(0); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 374, __pyx_L9_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_v_loss_list = ((PyObject*)__pyx_t_7);
      __pyx_t_7 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":375
 *             self.__memory_tuple_list = []
 *             loss_list = []
 *             min_loss = None             # <<<<<<<<<<<<<<
 *             eary_stop_flag = False
 *             for epoch in range(self.__epochs):
 */
      __Pyx_INCREF(Py_None);
      __pyx_v_min_loss = Py_None;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":376
 *             loss_list = []
 *             min_loss = None
 *             eary_stop_flag = False             # <<<<<<<<<<<<<<
 *             for epoch in range(self.__epochs):
 *                 self.__opt_params.dropout_rate = self.__dropout_rate
 */
      __pyx_v_eary_stop_flag = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":377
 *             min_loss = None
 *             eary_stop_flag = False
 *             for epoch in range(self.__epochs):             # <<<<<<<<<<<<<<
 *                 self.__opt_params.dropout_rate = self.__dropout_rate
 *                 self.__opt_params.inferencing_mode = False
 */
      __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__epochs); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 377, __pyx_L9_error)
      __Pyx_GOTREF(__pyx_t_7);
      __pyx_t_15 = __Pyx_PyInt_As_long(__pyx_t_7); if (unlikely((__pyx_t_15 == (long)-1) && PyErr_Occurred())) __PYX_ERR(0, 377, __pyx_L9_error)
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __pyx_t_16 = __pyx_t_15;
      for (__pyx_t_10 = 0; __pyx_t_10 < __pyx_t_16; __pyx_t_10+=1) {
        __pyx_v_epoch = __pyx_t_10;

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":378
 *             eary_stop_flag = False
 *             for epoch in range(self.__epochs):
 *                 self.__opt_params.dropout_rate = self.__dropout_rate             # <<<<<<<<<<<<<<
 *                 self.__opt_params.inferencing_mode = False
 * 
 */
        __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__dropout_rate); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 378, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_7);
        __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 378, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_1);
        if (__Pyx_PyObject_SetAttrStr(__pyx_t_1, __pyx_n_s_dropout_rate, __pyx_t_7) < 0) __PYX_ERR(0, 378, __pyx_L9_error)
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":379
 *             for epoch in range(self.__epochs):
 *                 self.__opt_params.dropout_rate = self.__dropout_rate
 *                 self.__opt_params.inferencing_mode = False             # <<<<<<<<<<<<<<
 * 
 *                 if ((epoch + 1) % self.__attenuate_epoch == 0):
 */
        __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 379, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_1);
        if (__Pyx_PyObject_SetAttrStr(__pyx_t_1, __pyx_n_s_inferencing_mode, Py_False) < 0) __PYX_ERR(0, 379, __pyx_L9_error)
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":381
 *                 self.__opt_params.inferencing_mode = False
 * 
 *                 if ((epoch + 1) % self.__attenuate_epoch == 0):             # <<<<<<<<<<<<<<
 *                     learning_rate = learning_rate * self.__learning_attenuate_rate
 * 
 */
        __pyx_t_1 = __Pyx_PyInt_From_long((__pyx_v_epoch + 1)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 381, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_1);
        __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__attenuate_epoch); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 381, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_7);
        __pyx_t_8 = PyNumber_Remainder(__pyx_t_1, __pyx_t_7); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 381, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_8);
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        __pyx_t_7 = __Pyx_PyInt_EqObjC(__pyx_t_8, __pyx_int_0, 0, 0); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 381, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_7);
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_7); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 381, __pyx_L9_error)
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        if (__pyx_t_4) {

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":382
 * 
 *                 if ((epoch + 1) % self.__attenuate_epoch == 0):
 *                     learning_rate = learning_rate * self.__learning_attenuate_rate             # <<<<<<<<<<<<<<
 * 
 *                 rand_index = np.random.choice(train_observed_arr.shape[0], size=self.__batch_size)
 */
          __pyx_t_7 = PyFloat_FromDouble(__pyx_v_learning_rate); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 382, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_7);
          __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__learning_attenua); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 382, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_8);
          __pyx_t_1 = PyNumber_Multiply(__pyx_t_7, __pyx_t_8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 382, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_1);
          __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
          __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
          __pyx_t_3 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_3 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 382, __pyx_L9_error)
          __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
          __pyx_v_learning_rate = __pyx_t_3;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":381
 *                 self.__opt_params.inferencing_mode = False
 * 
 *                 if ((epoch + 1) % self.__attenuate_epoch == 0):             # <<<<<<<<<<<<<<
 *                     learning_rate = learning_rate * self.__learning_attenuate_rate
 * 
 */
        }

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":384
 *                     learning_rate = learning_rate * self.__learning_attenuate_rate
 * 
 *                 rand_index = np.random.choice(train_observed_arr.shape[0], size=self.__batch_size)             # <<<<<<<<<<<<<<
 *                 batch_observed_arr = train_observed_arr[rand_index]
 *                 batch_target_arr = train_target_arr[rand_index]
 */
        __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 384, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_1);
        __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_random); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 384, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_8);
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
        __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_choice); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 384, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        __pyx_t_8 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_train_observed_arr->dimensions[0])); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 384, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_8);
        __pyx_t_7 = PyTuple_New(1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 384, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_7);
        __Pyx_GIVEREF(__pyx_t_8);
        PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_8);
        __pyx_t_8 = 0;
        __pyx_t_8 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 384, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_8);
        __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__batch_size); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 384, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_2);
        if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_size, __pyx_t_2) < 0) __PYX_ERR(0, 384, __pyx_L9_error)
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
        __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_7, __pyx_t_8); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 384, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 384, __pyx_L9_error)
        __Pyx_XDECREF_SET(__pyx_v_rand_index, ((PyArrayObject *)__pyx_t_2));
        __pyx_t_2 = 0;

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":385
 * 
 *                 rand_index = np.random.choice(train_observed_arr.shape[0], size=self.__batch_size)
 *                 batch_observed_arr = train_observed_arr[rand_index]             # <<<<<<<<<<<<<<
 *                 batch_target_arr = train_target_arr[rand_index]
 * 
 */
        __pyx_t_2 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_train_observed_arr), ((PyObject *)__pyx_v_rand_index)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 385, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_2);
        if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 385, __pyx_L9_error)
        __pyx_t_17 = ((PyArrayObject *)__pyx_t_2);
        {
          __Pyx_BufFmt_StackElem __pyx_stack[1];
          __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer);
          __pyx_t_18 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_17, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack);
          if (unlikely(__pyx_t_18 < 0)) {
            PyErr_Fetch(&__pyx_t_19, &__pyx_t_20, &__pyx_t_21);
            if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_batch_observed_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) {
              Py_XDECREF(__pyx_t_19); Py_XDECREF(__pyx_t_20); Py_XDECREF(__pyx_t_21);
              __Pyx_RaiseBufferFallbackError();
            } else {
              PyErr_Restore(__pyx_t_19, __pyx_t_20, __pyx_t_21);
            }
            __pyx_t_19 = __pyx_t_20 = __pyx_t_21 = 0;
          }
          __pyx_pybuffernd_batch_observed_arr.diminfo[0].strides = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_batch_observed_arr.diminfo[0].shape = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_batch_observed_arr.diminfo[1].strides = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_batch_observed_arr.diminfo[1].shape = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_batch_observed_arr.diminfo[2].strides = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_batch_observed_arr.diminfo[2].shape = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_batch_observed_arr.diminfo[3].strides = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_batch_observed_arr.diminfo[3].shape = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_batch_observed_arr.diminfo[4].strides = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_batch_observed_arr.diminfo[4].shape = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.shape[4];
          if (unlikely(__pyx_t_18 < 0)) __PYX_ERR(0, 385, __pyx_L9_error)
        }
        __pyx_t_17 = 0;
        __Pyx_XDECREF_SET(__pyx_v_batch_observed_arr, ((PyArrayObject *)__pyx_t_2));
        __pyx_t_2 = 0;

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":386
 *                 rand_index = np.random.choice(train_observed_arr.shape[0], size=self.__batch_size)
 *                 batch_observed_arr = train_observed_arr[rand_index]
 *                 batch_target_arr = train_target_arr[rand_index]             # <<<<<<<<<<<<<<
 * 
 *                 try:
 */
        __pyx_t_2 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_train_target_arr), ((PyObject *)__pyx_v_rand_index)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 386, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_2);
        if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 386, __pyx_L9_error)
        __Pyx_XDECREF_SET(__pyx_v_batch_target_arr, ((PyArrayObject *)__pyx_t_2));
        __pyx_t_2 = 0;

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":388
 *                 batch_target_arr = train_target_arr[rand_index]
 * 
 *                 try:             # <<<<<<<<<<<<<<
 *                     pred_arr = self.forward_propagation(batch_observed_arr)
 *                     ver_pred_arr = pred_arr.copy()
 */
        {
          __Pyx_PyThreadState_declare
          __Pyx_PyThreadState_assign
          __Pyx_ExceptionSave(&__pyx_t_21, &__pyx_t_20, &__pyx_t_19);
          __Pyx_XGOTREF(__pyx_t_21);
          __Pyx_XGOTREF(__pyx_t_20);
          __Pyx_XGOTREF(__pyx_t_19);
          /*try:*/ {

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":389
 * 
 *                 try:
 *                     pred_arr = self.forward_propagation(batch_observed_arr)             # <<<<<<<<<<<<<<
 *                     ver_pred_arr = pred_arr.copy()
 *                     train_weight_decay = self.weight_decay_term
 */
            __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_forward_propagation); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 389, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_8);
            __pyx_t_7 = NULL;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
              __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_8);
              if (likely(__pyx_t_7)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
                __Pyx_INCREF(__pyx_t_7);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_8, function);
              }
            }
            if (!__pyx_t_7) {
              __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_8, ((PyObject *)__pyx_v_batch_observed_arr)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 389, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_2);
            } else {
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_8)) {
                PyObject *__pyx_temp[2] = {__pyx_t_7, ((PyObject *)__pyx_v_batch_observed_arr)};
                __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 389, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
                __Pyx_GOTREF(__pyx_t_2);
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
                PyObject *__pyx_temp[2] = {__pyx_t_7, ((PyObject *)__pyx_v_batch_observed_arr)};
                __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 389, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
                __Pyx_GOTREF(__pyx_t_2);
              } else
              #endif
              {
                __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 389, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_1);
                __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_7); __pyx_t_7 = NULL;
                __Pyx_INCREF(((PyObject *)__pyx_v_batch_observed_arr));
                __Pyx_GIVEREF(((PyObject *)__pyx_v_batch_observed_arr));
                PyTuple_SET_ITEM(__pyx_t_1, 0+1, ((PyObject *)__pyx_v_batch_observed_arr));
                __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_1, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 389, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_2);
                __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
              }
            }
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 389, __pyx_L18_error)
            __Pyx_XDECREF_SET(__pyx_v_pred_arr, ((PyArrayObject *)__pyx_t_2));
            __pyx_t_2 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":390
 *                 try:
 *                     pred_arr = self.forward_propagation(batch_observed_arr)
 *                     ver_pred_arr = pred_arr.copy()             # <<<<<<<<<<<<<<
 *                     train_weight_decay = self.weight_decay_term
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 */
            __pyx_t_8 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_pred_arr), __pyx_n_s_copy); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 390, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_8);
            __pyx_t_1 = NULL;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
              __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_8);
              if (likely(__pyx_t_1)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
                __Pyx_INCREF(__pyx_t_1);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_8, function);
              }
            }
            if (__pyx_t_1) {
              __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 390, __pyx_L18_error)
              __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
            } else {
              __pyx_t_2 = __Pyx_PyObject_CallNoArg(__pyx_t_8); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 390, __pyx_L18_error)
            }
            __Pyx_GOTREF(__pyx_t_2);
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            __Pyx_XDECREF_SET(__pyx_v_ver_pred_arr, __pyx_t_2);
            __pyx_t_2 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":391
 *                     pred_arr = self.forward_propagation(batch_observed_arr)
 *                     ver_pred_arr = pred_arr.copy()
 *                     train_weight_decay = self.weight_decay_term             # <<<<<<<<<<<<<<
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                         loss = self.__computable_loss.compute_loss(
 */
            __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 391, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_2);
            __Pyx_XDECREF_SET(__pyx_v_train_weight_decay, __pyx_t_2);
            __pyx_t_2 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":392
 *                     ver_pred_arr = pred_arr.copy()
 *                     train_weight_decay = self.weight_decay_term
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 */
            __pyx_t_2 = __Pyx_PyInt_From_int(__pyx_v_pred_arr->nd); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 392, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_2);
            __pyx_t_8 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__5); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 392, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_8);
            __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 392, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_1);
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            __pyx_t_8 = PyObject_RichCompare(__pyx_t_2, __pyx_t_1, Py_EQ); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 392, __pyx_L18_error)
            __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
            __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
            __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 392, __pyx_L18_error)
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            if (__pyx_t_4) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":393
 *                     train_weight_decay = self.weight_decay_term
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                         loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1]
 */
              __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 393, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_1);
              __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_compute_loss); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 393, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_2);
              __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":395
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 *                             batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                         )
 *                     else:
 */
              __pyx_t_1 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 395, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_1);
              __pyx_t_7 = NULL;
              __pyx_t_18 = 0;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
                __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_2);
                if (likely(__pyx_t_7)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
                  __Pyx_INCREF(__pyx_t_7);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_2, function);
                  __pyx_t_18 = 1;
                }
              }
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_2)) {
                PyObject *__pyx_temp[3] = {__pyx_t_7, ((PyObject *)__pyx_v_pred_arr), __pyx_t_1};
                __pyx_t_8 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 393, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
                __Pyx_GOTREF(__pyx_t_8);
                __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
                PyObject *__pyx_temp[3] = {__pyx_t_7, ((PyObject *)__pyx_v_pred_arr), __pyx_t_1};
                __pyx_t_8 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 393, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
                __Pyx_GOTREF(__pyx_t_8);
                __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
              } else
              #endif
              {
                __pyx_t_6 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 393, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_6);
                if (__pyx_t_7) {
                  __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); __pyx_t_7 = NULL;
                }
                __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
                PyTuple_SET_ITEM(__pyx_t_6, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(__pyx_t_1);
                PyTuple_SET_ITEM(__pyx_t_6, 1+__pyx_t_18, __pyx_t_1);
                __pyx_t_1 = 0;
                __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_6, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 393, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_8);
                __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
              }
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":393
 *                     train_weight_decay = self.weight_decay_term
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                         loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1]
 */
              __pyx_t_3 = __pyx_PyFloat_AsDouble(__pyx_t_8); if (unlikely((__pyx_t_3 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 393, __pyx_L18_error)
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __pyx_v_loss = __pyx_t_3;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":392
 *                     ver_pred_arr = pred_arr.copy()
 *                     train_weight_decay = self.weight_decay_term
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 */
              goto __pyx_L26;
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":398
 *                         )
 *                     else:
 *                         loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 */
            /*else*/ {
              __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 398, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_2);
              __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_compute_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 398, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_6);
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":400
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                 batch_target_arr[:, -1].shape[0],
 *                                 -1
 */
              __pyx_t_1 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__9); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 400, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_1);
              __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_reshape); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 400, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_7);
              __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":401
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 *                                 batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                 -1
 *                             ))
 */
              __pyx_t_1 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__11); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 401, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_1);
              __pyx_t_22 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_shape); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 401, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_22);
              __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
              __pyx_t_1 = __Pyx_GetItemInt(__pyx_t_22, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 401, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_1);
              __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
              __pyx_t_22 = PyTuple_New(2); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 401, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_22);
              __Pyx_GIVEREF(__pyx_t_1);
              PyTuple_SET_ITEM(__pyx_t_22, 0, __pyx_t_1);
              __Pyx_INCREF(__pyx_int_neg_1);
              __Pyx_GIVEREF(__pyx_int_neg_1);
              PyTuple_SET_ITEM(__pyx_t_22, 1, __pyx_int_neg_1);
              __pyx_t_1 = 0;
              __pyx_t_1 = NULL;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) {
                __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_7);
                if (likely(__pyx_t_1)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
                  __Pyx_INCREF(__pyx_t_1);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_7, function);
                }
              }
              if (!__pyx_t_1) {
                __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_t_22); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 400, __pyx_L18_error)
                __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
                __Pyx_GOTREF(__pyx_t_2);
              } else {
                #if CYTHON_FAST_PYCALL
                if (PyFunction_Check(__pyx_t_7)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_22};
                  __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_7, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 400, __pyx_L18_error)
                  __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
                  __Pyx_GOTREF(__pyx_t_2);
                  __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
                } else
                #endif
                #if CYTHON_FAST_PYCCALL
                if (__Pyx_PyFastCFunction_Check(__pyx_t_7)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_22};
                  __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_7, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 400, __pyx_L18_error)
                  __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
                  __Pyx_GOTREF(__pyx_t_2);
                  __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
                } else
                #endif
                {
                  __pyx_t_23 = PyTuple_New(1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 400, __pyx_L18_error)
                  __Pyx_GOTREF(__pyx_t_23);
                  __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_23, 0, __pyx_t_1); __pyx_t_1 = NULL;
                  __Pyx_GIVEREF(__pyx_t_22);
                  PyTuple_SET_ITEM(__pyx_t_23, 0+1, __pyx_t_22);
                  __pyx_t_22 = 0;
                  __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_23, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 400, __pyx_L18_error)
                  __Pyx_GOTREF(__pyx_t_2);
                  __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
                }
              }
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
              __pyx_t_7 = NULL;
              __pyx_t_18 = 0;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) {
                __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_6);
                if (likely(__pyx_t_7)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);
                  __Pyx_INCREF(__pyx_t_7);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_6, function);
                  __pyx_t_18 = 1;
                }
              }
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_6)) {
                PyObject *__pyx_temp[3] = {__pyx_t_7, ((PyObject *)__pyx_v_pred_arr), __pyx_t_2};
                __pyx_t_8 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 398, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
                __Pyx_GOTREF(__pyx_t_8);
                __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) {
                PyObject *__pyx_temp[3] = {__pyx_t_7, ((PyObject *)__pyx_v_pred_arr), __pyx_t_2};
                __pyx_t_8 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 398, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
                __Pyx_GOTREF(__pyx_t_8);
                __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              } else
              #endif
              {
                __pyx_t_23 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 398, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_23);
                if (__pyx_t_7) {
                  __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_23, 0, __pyx_t_7); __pyx_t_7 = NULL;
                }
                __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
                PyTuple_SET_ITEM(__pyx_t_23, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(__pyx_t_2);
                PyTuple_SET_ITEM(__pyx_t_23, 1+__pyx_t_18, __pyx_t_2);
                __pyx_t_2 = 0;
                __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_23, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 398, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_8);
                __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              }
              __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":398
 *                         )
 *                     else:
 *                         loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 */
              __pyx_t_3 = __pyx_PyFloat_AsDouble(__pyx_t_8); if (unlikely((__pyx_t_3 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 398, __pyx_L18_error)
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __pyx_v_loss = __pyx_t_3;
            }
            __pyx_L26:;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":405
 *                             ))
 *                         )
 *                     loss = loss + train_weight_decay             # <<<<<<<<<<<<<<
 * 
 *                     remember_flag = False
 */
            __pyx_t_8 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 405, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_8);
            __pyx_t_6 = PyNumber_Add(__pyx_t_8, __pyx_v_train_weight_decay); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 405, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_6);
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            __pyx_t_3 = __pyx_PyFloat_AsDouble(__pyx_t_6); if (unlikely((__pyx_t_3 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 405, __pyx_L18_error)
            __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
            __pyx_v_loss = __pyx_t_3;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":407
 *                     loss = loss + train_weight_decay
 * 
 *                     remember_flag = False             # <<<<<<<<<<<<<<
 *                     if len(loss_list) > 0:
 *                         if abs(loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 */
            __pyx_v_remember_flag = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":408
 * 
 *                     remember_flag = False
 *                     if len(loss_list) > 0:             # <<<<<<<<<<<<<<
 *                         if abs(loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 *                             remember_flag = True
 */
            __pyx_t_24 = PyList_GET_SIZE(__pyx_v_loss_list); if (unlikely(__pyx_t_24 == ((Py_ssize_t)-1))) __PYX_ERR(0, 408, __pyx_L18_error)
            __pyx_t_4 = ((__pyx_t_24 > 0) != 0);
            if (__pyx_t_4) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":409
 *                     remember_flag = False
 *                     if len(loss_list) > 0:
 *                         if abs(loss - (sum(loss_list)/len(loss_list))) > self.__tld:             # <<<<<<<<<<<<<<
 *                             remember_flag = True
 * 
 */
              __pyx_t_6 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 409, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_6);
              __pyx_t_8 = __Pyx_PyObject_CallOneArg(__pyx_builtin_sum, __pyx_v_loss_list); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 409, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_8);
              __pyx_t_24 = PyList_GET_SIZE(__pyx_v_loss_list); if (unlikely(__pyx_t_24 == ((Py_ssize_t)-1))) __PYX_ERR(0, 409, __pyx_L18_error)
              __pyx_t_23 = PyInt_FromSsize_t(__pyx_t_24); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 409, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_23);
              __pyx_t_2 = __Pyx_PyNumber_Divide(__pyx_t_8, __pyx_t_23); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 409, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_2);
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              __pyx_t_23 = PyNumber_Subtract(__pyx_t_6, __pyx_t_2); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 409, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_23);
              __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              __pyx_t_2 = __Pyx_PyNumber_Absolute(__pyx_t_23); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 409, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_2);
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__tld); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 409, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_23);
              __pyx_t_6 = PyObject_RichCompare(__pyx_t_2, __pyx_t_23, Py_GT); __Pyx_XGOTREF(__pyx_t_6); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 409, __pyx_L18_error)
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_6); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 409, __pyx_L18_error)
              __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
              if (__pyx_t_4) {

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":410
 *                     if len(loss_list) > 0:
 *                         if abs(loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 *                             remember_flag = True             # <<<<<<<<<<<<<<
 * 
 *                     if remember_flag is True:
 */
                __pyx_v_remember_flag = 1;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":409
 *                     remember_flag = False
 *                     if len(loss_list) > 0:
 *                         if abs(loss - (sum(loss_list)/len(loss_list))) > self.__tld:             # <<<<<<<<<<<<<<
 *                             remember_flag = True
 * 
 */
              }

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":408
 * 
 *                     remember_flag = False
 *                     if len(loss_list) > 0:             # <<<<<<<<<<<<<<
 *                         if abs(loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 *                             remember_flag = True
 */
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":412
 *                             remember_flag = True
 * 
 *                     if remember_flag is True:             # <<<<<<<<<<<<<<
 *                         self.__remember_best_params(best_params_list)
 *                         # Re-try.
 */
            __pyx_t_4 = ((__pyx_v_remember_flag == 1) != 0);
            if (__pyx_t_4) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":413
 * 
 *                     if remember_flag is True:
 *                         self.__remember_best_params(best_params_list)             # <<<<<<<<<<<<<<
 *                         # Re-try.
 *                         pred_arr = self.forward_propagation(batch_observed_arr)
 */
              __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__remember_best_pa); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 413, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_23);
              __pyx_t_2 = NULL;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_23))) {
                __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_23);
                if (likely(__pyx_t_2)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_23);
                  __Pyx_INCREF(__pyx_t_2);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_23, function);
                }
              }
              if (!__pyx_t_2) {
                __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_t_23, __pyx_v_best_params_list); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 413, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_6);
              } else {
                #if CYTHON_FAST_PYCALL
                if (PyFunction_Check(__pyx_t_23)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_v_best_params_list};
                  __pyx_t_6 = __Pyx_PyFunction_FastCall(__pyx_t_23, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 413, __pyx_L18_error)
                  __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
                  __Pyx_GOTREF(__pyx_t_6);
                } else
                #endif
                #if CYTHON_FAST_PYCCALL
                if (__Pyx_PyFastCFunction_Check(__pyx_t_23)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_v_best_params_list};
                  __pyx_t_6 = __Pyx_PyCFunction_FastCall(__pyx_t_23, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 413, __pyx_L18_error)
                  __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
                  __Pyx_GOTREF(__pyx_t_6);
                } else
                #endif
                {
                  __pyx_t_8 = PyTuple_New(1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 413, __pyx_L18_error)
                  __Pyx_GOTREF(__pyx_t_8);
                  __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_2); __pyx_t_2 = NULL;
                  __Pyx_INCREF(__pyx_v_best_params_list);
                  __Pyx_GIVEREF(__pyx_v_best_params_list);
                  PyTuple_SET_ITEM(__pyx_t_8, 0+1, __pyx_v_best_params_list);
                  __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_23, __pyx_t_8, NULL); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 413, __pyx_L18_error)
                  __Pyx_GOTREF(__pyx_t_6);
                  __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
                }
              }
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":415
 *                         self.__remember_best_params(best_params_list)
 *                         # Re-try.
 *                         pred_arr = self.forward_propagation(batch_observed_arr)             # <<<<<<<<<<<<<<
 *                         ver_pred_arr = pred_arr.copy()
 *                         train_weight_decay = self.weight_decay_term
 */
              __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_forward_propagation); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 415, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_23);
              __pyx_t_8 = NULL;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_23))) {
                __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_23);
                if (likely(__pyx_t_8)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_23);
                  __Pyx_INCREF(__pyx_t_8);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_23, function);
                }
              }
              if (!__pyx_t_8) {
                __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_t_23, ((PyObject *)__pyx_v_batch_observed_arr)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 415, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_6);
              } else {
                #if CYTHON_FAST_PYCALL
                if (PyFunction_Check(__pyx_t_23)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_8, ((PyObject *)__pyx_v_batch_observed_arr)};
                  __pyx_t_6 = __Pyx_PyFunction_FastCall(__pyx_t_23, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 415, __pyx_L18_error)
                  __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                  __Pyx_GOTREF(__pyx_t_6);
                } else
                #endif
                #if CYTHON_FAST_PYCCALL
                if (__Pyx_PyFastCFunction_Check(__pyx_t_23)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_8, ((PyObject *)__pyx_v_batch_observed_arr)};
                  __pyx_t_6 = __Pyx_PyCFunction_FastCall(__pyx_t_23, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 415, __pyx_L18_error)
                  __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                  __Pyx_GOTREF(__pyx_t_6);
                } else
                #endif
                {
                  __pyx_t_2 = PyTuple_New(1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 415, __pyx_L18_error)
                  __Pyx_GOTREF(__pyx_t_2);
                  __Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_8); __pyx_t_8 = NULL;
                  __Pyx_INCREF(((PyObject *)__pyx_v_batch_observed_arr));
                  __Pyx_GIVEREF(((PyObject *)__pyx_v_batch_observed_arr));
                  PyTuple_SET_ITEM(__pyx_t_2, 0+1, ((PyObject *)__pyx_v_batch_observed_arr));
                  __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_23, __pyx_t_2, NULL); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 415, __pyx_L18_error)
                  __Pyx_GOTREF(__pyx_t_6);
                  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
                }
              }
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 415, __pyx_L18_error)
              __Pyx_DECREF_SET(__pyx_v_pred_arr, ((PyArrayObject *)__pyx_t_6));
              __pyx_t_6 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":416
 *                         # Re-try.
 *                         pred_arr = self.forward_propagation(batch_observed_arr)
 *                         ver_pred_arr = pred_arr.copy()             # <<<<<<<<<<<<<<
 *                         train_weight_decay = self.weight_decay_term
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 */
              __pyx_t_23 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_pred_arr), __pyx_n_s_copy); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 416, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_23);
              __pyx_t_2 = NULL;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_23))) {
                __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_23);
                if (likely(__pyx_t_2)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_23);
                  __Pyx_INCREF(__pyx_t_2);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_23, function);
                }
              }
              if (__pyx_t_2) {
                __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_t_23, __pyx_t_2); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 416, __pyx_L18_error)
                __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              } else {
                __pyx_t_6 = __Pyx_PyObject_CallNoArg(__pyx_t_23); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 416, __pyx_L18_error)
              }
              __Pyx_GOTREF(__pyx_t_6);
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              __Pyx_DECREF_SET(__pyx_v_ver_pred_arr, __pyx_t_6);
              __pyx_t_6 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":417
 *                         pred_arr = self.forward_propagation(batch_observed_arr)
 *                         ver_pred_arr = pred_arr.copy()
 *                         train_weight_decay = self.weight_decay_term             # <<<<<<<<<<<<<<
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                             loss = self.__computable_loss.compute_loss(
 */
              __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 417, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_6);
              __Pyx_DECREF_SET(__pyx_v_train_weight_decay, __pyx_t_6);
              __pyx_t_6 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":418
 *                         ver_pred_arr = pred_arr.copy()
 *                         train_weight_decay = self.weight_decay_term
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 */
              __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_pred_arr->nd); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 418, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_6);
              __pyx_t_23 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__13); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 418, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_23);
              __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_23, __pyx_n_s_ndim); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 418, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_2);
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              __pyx_t_23 = PyObject_RichCompare(__pyx_t_6, __pyx_t_2, Py_EQ); __Pyx_XGOTREF(__pyx_t_23); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 418, __pyx_L18_error)
              __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_23); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 418, __pyx_L18_error)
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              if (__pyx_t_4) {

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":419
 *                         train_weight_decay = self.weight_decay_term
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                             loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1]
 */
                __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 419, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_2);
                __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_compute_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 419, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_6);
                __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":421
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                             )
 *                         else:
 */
                __pyx_t_2 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__15); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 421, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_2);
                __pyx_t_8 = NULL;
                __pyx_t_18 = 0;
                if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) {
                  __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_6);
                  if (likely(__pyx_t_8)) {
                    PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);
                    __Pyx_INCREF(__pyx_t_8);
                    __Pyx_INCREF(function);
                    __Pyx_DECREF_SET(__pyx_t_6, function);
                    __pyx_t_18 = 1;
                  }
                }
                #if CYTHON_FAST_PYCALL
                if (PyFunction_Check(__pyx_t_6)) {
                  PyObject *__pyx_temp[3] = {__pyx_t_8, ((PyObject *)__pyx_v_pred_arr), __pyx_t_2};
                  __pyx_t_23 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 419, __pyx_L18_error)
                  __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                  __Pyx_GOTREF(__pyx_t_23);
                  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
                } else
                #endif
                #if CYTHON_FAST_PYCCALL
                if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) {
                  PyObject *__pyx_temp[3] = {__pyx_t_8, ((PyObject *)__pyx_v_pred_arr), __pyx_t_2};
                  __pyx_t_23 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 419, __pyx_L18_error)
                  __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                  __Pyx_GOTREF(__pyx_t_23);
                  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
                } else
                #endif
                {
                  __pyx_t_7 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 419, __pyx_L18_error)
                  __Pyx_GOTREF(__pyx_t_7);
                  if (__pyx_t_8) {
                    __Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_8); __pyx_t_8 = NULL;
                  }
                  __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
                  __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
                  PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
                  __Pyx_GIVEREF(__pyx_t_2);
                  PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_18, __pyx_t_2);
                  __pyx_t_2 = 0;
                  __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_7, NULL); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 419, __pyx_L18_error)
                  __Pyx_GOTREF(__pyx_t_23);
                  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
                }
                __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":419
 *                         train_weight_decay = self.weight_decay_term
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                             loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1]
 */
                __pyx_t_3 = __pyx_PyFloat_AsDouble(__pyx_t_23); if (unlikely((__pyx_t_3 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 419, __pyx_L18_error)
                __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
                __pyx_v_loss = __pyx_t_3;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":418
 *                         ver_pred_arr = pred_arr.copy()
 *                         train_weight_decay = self.weight_decay_term
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 */
                goto __pyx_L30;
              }

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":424
 *                             )
 *                         else:
 *                             loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1].reshape((
 */
              /*else*/ {
                __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 424, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_6);
                __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_compute_loss); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 424, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_7);
                __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":426
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                     batch_target_arr[:, -1].shape[0],
 *                                     -1
 */
                __pyx_t_2 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__17); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 426, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_2);
                __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_reshape); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 426, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_8);
                __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":427
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1].reshape((
 *                                     batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                     -1
 *                                 ))
 */
                __pyx_t_2 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__19); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 427, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_2);
                __pyx_t_22 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_shape); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 427, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_22);
                __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
                __pyx_t_2 = __Pyx_GetItemInt(__pyx_t_22, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 427, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_2);
                __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
                __pyx_t_22 = PyTuple_New(2); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 427, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_22);
                __Pyx_GIVEREF(__pyx_t_2);
                PyTuple_SET_ITEM(__pyx_t_22, 0, __pyx_t_2);
                __Pyx_INCREF(__pyx_int_neg_1);
                __Pyx_GIVEREF(__pyx_int_neg_1);
                PyTuple_SET_ITEM(__pyx_t_22, 1, __pyx_int_neg_1);
                __pyx_t_2 = 0;
                __pyx_t_2 = NULL;
                if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
                  __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_8);
                  if (likely(__pyx_t_2)) {
                    PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
                    __Pyx_INCREF(__pyx_t_2);
                    __Pyx_INCREF(function);
                    __Pyx_DECREF_SET(__pyx_t_8, function);
                  }
                }
                if (!__pyx_t_2) {
                  __pyx_t_6 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_22); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 426, __pyx_L18_error)
                  __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
                  __Pyx_GOTREF(__pyx_t_6);
                } else {
                  #if CYTHON_FAST_PYCALL
                  if (PyFunction_Check(__pyx_t_8)) {
                    PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_22};
                    __pyx_t_6 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 426, __pyx_L18_error)
                    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
                    __Pyx_GOTREF(__pyx_t_6);
                    __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
                  } else
                  #endif
                  #if CYTHON_FAST_PYCCALL
                  if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
                    PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_22};
                    __pyx_t_6 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 426, __pyx_L18_error)
                    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
                    __Pyx_GOTREF(__pyx_t_6);
                    __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
                  } else
                  #endif
                  {
                    __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 426, __pyx_L18_error)
                    __Pyx_GOTREF(__pyx_t_1);
                    __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_2); __pyx_t_2 = NULL;
                    __Pyx_GIVEREF(__pyx_t_22);
                    PyTuple_SET_ITEM(__pyx_t_1, 0+1, __pyx_t_22);
                    __pyx_t_22 = 0;
                    __pyx_t_6 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_1, NULL); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 426, __pyx_L18_error)
                    __Pyx_GOTREF(__pyx_t_6);
                    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
                  }
                }
                __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
                __pyx_t_8 = NULL;
                __pyx_t_18 = 0;
                if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) {
                  __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_7);
                  if (likely(__pyx_t_8)) {
                    PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
                    __Pyx_INCREF(__pyx_t_8);
                    __Pyx_INCREF(function);
                    __Pyx_DECREF_SET(__pyx_t_7, function);
                    __pyx_t_18 = 1;
                  }
                }
                #if CYTHON_FAST_PYCALL
                if (PyFunction_Check(__pyx_t_7)) {
                  PyObject *__pyx_temp[3] = {__pyx_t_8, ((PyObject *)__pyx_v_pred_arr), __pyx_t_6};
                  __pyx_t_23 = __Pyx_PyFunction_FastCall(__pyx_t_7, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 424, __pyx_L18_error)
                  __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                  __Pyx_GOTREF(__pyx_t_23);
                  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
                } else
                #endif
                #if CYTHON_FAST_PYCCALL
                if (__Pyx_PyFastCFunction_Check(__pyx_t_7)) {
                  PyObject *__pyx_temp[3] = {__pyx_t_8, ((PyObject *)__pyx_v_pred_arr), __pyx_t_6};
                  __pyx_t_23 = __Pyx_PyCFunction_FastCall(__pyx_t_7, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 424, __pyx_L18_error)
                  __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                  __Pyx_GOTREF(__pyx_t_23);
                  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
                } else
                #endif
                {
                  __pyx_t_1 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 424, __pyx_L18_error)
                  __Pyx_GOTREF(__pyx_t_1);
                  if (__pyx_t_8) {
                    __Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_8); __pyx_t_8 = NULL;
                  }
                  __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
                  __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
                  PyTuple_SET_ITEM(__pyx_t_1, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
                  __Pyx_GIVEREF(__pyx_t_6);
                  PyTuple_SET_ITEM(__pyx_t_1, 1+__pyx_t_18, __pyx_t_6);
                  __pyx_t_6 = 0;
                  __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_1, NULL); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 424, __pyx_L18_error)
                  __Pyx_GOTREF(__pyx_t_23);
                  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
                }
                __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":424
 *                             )
 *                         else:
 *                             loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1].reshape((
 */
                __pyx_t_3 = __pyx_PyFloat_AsDouble(__pyx_t_23); if (unlikely((__pyx_t_3 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 424, __pyx_L18_error)
                __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
                __pyx_v_loss = __pyx_t_3;
              }
              __pyx_L30:;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":431
 *                                 ))
 *                             )
 *                         loss = loss + train_weight_decay             # <<<<<<<<<<<<<<
 * 
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 */
              __pyx_t_23 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 431, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_23);
              __pyx_t_7 = PyNumber_Add(__pyx_t_23, __pyx_v_train_weight_decay); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 431, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_7);
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              __pyx_t_3 = __pyx_PyFloat_AsDouble(__pyx_t_7); if (unlikely((__pyx_t_3 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 431, __pyx_L18_error)
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
              __pyx_v_loss = __pyx_t_3;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":412
 *                             remember_flag = True
 * 
 *                     if remember_flag is True:             # <<<<<<<<<<<<<<
 *                         self.__remember_best_params(best_params_list)
 *                         # Re-try.
 */
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":433
 *                         loss = loss + train_weight_decay
 * 
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 */
            __pyx_t_7 = __Pyx_PyInt_From_int(__pyx_v_pred_arr->nd); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 433, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_7);
            __pyx_t_23 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__21); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 433, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_23);
            __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_23, __pyx_n_s_ndim); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 433, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_1);
            __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
            __pyx_t_23 = PyObject_RichCompare(__pyx_t_7, __pyx_t_1, Py_EQ); __Pyx_XGOTREF(__pyx_t_23); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 433, __pyx_L18_error)
            __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
            __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
            __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_23); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 433, __pyx_L18_error)
            __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
            if (__pyx_t_4) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":434
 * 
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                         delta_arr = self.__computable_loss.compute_delta(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1]
 */
              __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 434, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_1);
              __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_compute_delta); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 434, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_7);
              __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":436
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 *                             batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                         )
 *                     else:
 */
              __pyx_t_1 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__23); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 436, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_1);
              __pyx_t_6 = NULL;
              __pyx_t_18 = 0;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) {
                __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_7);
                if (likely(__pyx_t_6)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
                  __Pyx_INCREF(__pyx_t_6);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_7, function);
                  __pyx_t_18 = 1;
                }
              }
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_7)) {
                PyObject *__pyx_temp[3] = {__pyx_t_6, ((PyObject *)__pyx_v_pred_arr), __pyx_t_1};
                __pyx_t_23 = __Pyx_PyFunction_FastCall(__pyx_t_7, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 434, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_7)) {
                PyObject *__pyx_temp[3] = {__pyx_t_6, ((PyObject *)__pyx_v_pred_arr), __pyx_t_1};
                __pyx_t_23 = __Pyx_PyCFunction_FastCall(__pyx_t_7, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 434, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
              } else
              #endif
              {
                __pyx_t_8 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 434, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_8);
                if (__pyx_t_6) {
                  __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_6); __pyx_t_6 = NULL;
                }
                __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
                PyTuple_SET_ITEM(__pyx_t_8, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(__pyx_t_1);
                PyTuple_SET_ITEM(__pyx_t_8, 1+__pyx_t_18, __pyx_t_1);
                __pyx_t_1 = 0;
                __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_8, NULL); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 434, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              }
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":434
 * 
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                         delta_arr = self.__computable_loss.compute_delta(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1]
 */
              if (!(likely(((__pyx_t_23) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_23, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 434, __pyx_L18_error)
              __Pyx_XDECREF_SET(__pyx_v_delta_arr, ((PyArrayObject *)__pyx_t_23));
              __pyx_t_23 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":433
 *                         loss = loss + train_weight_decay
 * 
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 */
              goto __pyx_L31;
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":439
 *                         )
 *                     else:
 *                         delta_arr = self.__computable_loss.compute_delta(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 */
            /*else*/ {
              __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 439, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_7);
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_compute_delta); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 439, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_8);
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":441
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                 test_batch_target_arr[:, -1].shape[0],
 *                                 -1
 */
              __pyx_t_1 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__25); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 441, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_1);
              __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_reshape); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 441, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_6);
              __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":442
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 *                                 test_batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                 -1
 *                             ))
 */
              if (unlikely(!__pyx_v_test_batch_target_arr)) { __Pyx_RaiseUnboundLocalError("test_batch_target_arr"); __PYX_ERR(0, 442, __pyx_L18_error) }
              __pyx_t_1 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__27); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 442, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_1);
              __pyx_t_22 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_shape); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 442, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_22);
              __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
              __pyx_t_1 = __Pyx_GetItemInt(__pyx_t_22, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 442, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_1);
              __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
              __pyx_t_22 = PyTuple_New(2); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 442, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_22);
              __Pyx_GIVEREF(__pyx_t_1);
              PyTuple_SET_ITEM(__pyx_t_22, 0, __pyx_t_1);
              __Pyx_INCREF(__pyx_int_neg_1);
              __Pyx_GIVEREF(__pyx_int_neg_1);
              PyTuple_SET_ITEM(__pyx_t_22, 1, __pyx_int_neg_1);
              __pyx_t_1 = 0;
              __pyx_t_1 = NULL;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) {
                __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_6);
                if (likely(__pyx_t_1)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);
                  __Pyx_INCREF(__pyx_t_1);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_6, function);
                }
              }
              if (!__pyx_t_1) {
                __pyx_t_7 = __Pyx_PyObject_CallOneArg(__pyx_t_6, __pyx_t_22); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 441, __pyx_L18_error)
                __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
                __Pyx_GOTREF(__pyx_t_7);
              } else {
                #if CYTHON_FAST_PYCALL
                if (PyFunction_Check(__pyx_t_6)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_22};
                  __pyx_t_7 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 441, __pyx_L18_error)
                  __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
                  __Pyx_GOTREF(__pyx_t_7);
                  __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
                } else
                #endif
                #if CYTHON_FAST_PYCCALL
                if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_22};
                  __pyx_t_7 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 441, __pyx_L18_error)
                  __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
                  __Pyx_GOTREF(__pyx_t_7);
                  __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
                } else
                #endif
                {
                  __pyx_t_2 = PyTuple_New(1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 441, __pyx_L18_error)
                  __Pyx_GOTREF(__pyx_t_2);
                  __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); __pyx_t_1 = NULL;
                  __Pyx_GIVEREF(__pyx_t_22);
                  PyTuple_SET_ITEM(__pyx_t_2, 0+1, __pyx_t_22);
                  __pyx_t_22 = 0;
                  __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_2, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 441, __pyx_L18_error)
                  __Pyx_GOTREF(__pyx_t_7);
                  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
                }
              }
              __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
              __pyx_t_6 = NULL;
              __pyx_t_18 = 0;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
                __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_8);
                if (likely(__pyx_t_6)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
                  __Pyx_INCREF(__pyx_t_6);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_8, function);
                  __pyx_t_18 = 1;
                }
              }
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_8)) {
                PyObject *__pyx_temp[3] = {__pyx_t_6, ((PyObject *)__pyx_v_pred_arr), __pyx_t_7};
                __pyx_t_23 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 439, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
                PyObject *__pyx_temp[3] = {__pyx_t_6, ((PyObject *)__pyx_v_pred_arr), __pyx_t_7};
                __pyx_t_23 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 439, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
              } else
              #endif
              {
                __pyx_t_2 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 439, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_2);
                if (__pyx_t_6) {
                  __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_6); __pyx_t_6 = NULL;
                }
                __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
                PyTuple_SET_ITEM(__pyx_t_2, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(__pyx_t_7);
                PyTuple_SET_ITEM(__pyx_t_2, 1+__pyx_t_18, __pyx_t_7);
                __pyx_t_7 = 0;
                __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_2, NULL); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 439, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              }
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":439
 *                         )
 *                     else:
 *                         delta_arr = self.__computable_loss.compute_delta(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 */
              if (!(likely(((__pyx_t_23) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_23, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 439, __pyx_L18_error)
              __Pyx_XDECREF_SET(__pyx_v_delta_arr, ((PyArrayObject *)__pyx_t_23));
              __pyx_t_23 = 0;
            }
            __pyx_L31:;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":447
 *                         )
 * 
 *                     _delta_arr, grads_list = self.back_propagation(pred_arr, delta_arr)             # <<<<<<<<<<<<<<
 *                     self.optimize(grads_list, learning_rate, epoch)
 *                     self.graph.hidden_activity_arr = np.array([])
 */
            __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_back_propagation); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 447, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_8);
            __pyx_t_2 = NULL;
            __pyx_t_18 = 0;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
              __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_8);
              if (likely(__pyx_t_2)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
                __Pyx_INCREF(__pyx_t_2);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_8, function);
                __pyx_t_18 = 1;
              }
            }
            #if CYTHON_FAST_PYCALL
            if (PyFunction_Check(__pyx_t_8)) {
              PyObject *__pyx_temp[3] = {__pyx_t_2, ((PyObject *)__pyx_v_pred_arr), ((PyObject *)__pyx_v_delta_arr)};
              __pyx_t_23 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 447, __pyx_L18_error)
              __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
              __Pyx_GOTREF(__pyx_t_23);
            } else
            #endif
            #if CYTHON_FAST_PYCCALL
            if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
              PyObject *__pyx_temp[3] = {__pyx_t_2, ((PyObject *)__pyx_v_pred_arr), ((PyObject *)__pyx_v_delta_arr)};
              __pyx_t_23 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 447, __pyx_L18_error)
              __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
              __Pyx_GOTREF(__pyx_t_23);
            } else
            #endif
            {
              __pyx_t_7 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 447, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_7);
              if (__pyx_t_2) {
                __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_2); __pyx_t_2 = NULL;
              }
              __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
              __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
              PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
              __Pyx_INCREF(((PyObject *)__pyx_v_delta_arr));
              __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_arr));
              PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_18, ((PyObject *)__pyx_v_delta_arr));
              __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_7, NULL); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 447, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_23);
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
            }
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            if ((likely(PyTuple_CheckExact(__pyx_t_23))) || (PyList_CheckExact(__pyx_t_23))) {
              PyObject* sequence = __pyx_t_23;
              Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
              if (unlikely(size != 2)) {
                if (size > 2) __Pyx_RaiseTooManyValuesError(2);
                else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
                __PYX_ERR(0, 447, __pyx_L18_error)
              }
              #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
              if (likely(PyTuple_CheckExact(sequence))) {
                __pyx_t_8 = PyTuple_GET_ITEM(sequence, 0); 
                __pyx_t_7 = PyTuple_GET_ITEM(sequence, 1); 
              } else {
                __pyx_t_8 = PyList_GET_ITEM(sequence, 0); 
                __pyx_t_7 = PyList_GET_ITEM(sequence, 1); 
              }
              __Pyx_INCREF(__pyx_t_8);
              __Pyx_INCREF(__pyx_t_7);
              #else
              __pyx_t_8 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 447, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_8);
              __pyx_t_7 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 447, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_7);
              #endif
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
            } else {
              Py_ssize_t index = -1;
              __pyx_t_2 = PyObject_GetIter(__pyx_t_23); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 447, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_2);
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              __pyx_t_25 = Py_TYPE(__pyx_t_2)->tp_iternext;
              index = 0; __pyx_t_8 = __pyx_t_25(__pyx_t_2); if (unlikely(!__pyx_t_8)) goto __pyx_L32_unpacking_failed;
              __Pyx_GOTREF(__pyx_t_8);
              index = 1; __pyx_t_7 = __pyx_t_25(__pyx_t_2); if (unlikely(!__pyx_t_7)) goto __pyx_L32_unpacking_failed;
              __Pyx_GOTREF(__pyx_t_7);
              if (__Pyx_IternextUnpackEndCheck(__pyx_t_25(__pyx_t_2), 2) < 0) __PYX_ERR(0, 447, __pyx_L18_error)
              __pyx_t_25 = NULL;
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              goto __pyx_L33_unpacking_done;
              __pyx_L32_unpacking_failed:;
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              __pyx_t_25 = NULL;
              if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
              __PYX_ERR(0, 447, __pyx_L18_error)
              __pyx_L33_unpacking_done:;
            }
            __Pyx_XDECREF_SET(__pyx_v__delta_arr, __pyx_t_8);
            __pyx_t_8 = 0;
            __Pyx_XDECREF_SET(__pyx_v_grads_list, __pyx_t_7);
            __pyx_t_7 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":448
 * 
 *                     _delta_arr, grads_list = self.back_propagation(pred_arr, delta_arr)
 *                     self.optimize(grads_list, learning_rate, epoch)             # <<<<<<<<<<<<<<
 *                     self.graph.hidden_activity_arr = np.array([])
 *                     self.graph.cec_activity_arr = np.array([])
 */
            __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_optimize); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 448, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_7);
            __pyx_t_8 = PyFloat_FromDouble(__pyx_v_learning_rate); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 448, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_8);
            __pyx_t_2 = __Pyx_PyInt_From_int(__pyx_v_epoch); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 448, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_2);
            __pyx_t_6 = NULL;
            __pyx_t_18 = 0;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) {
              __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_7);
              if (likely(__pyx_t_6)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
                __Pyx_INCREF(__pyx_t_6);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_7, function);
                __pyx_t_18 = 1;
              }
            }
            #if CYTHON_FAST_PYCALL
            if (PyFunction_Check(__pyx_t_7)) {
              PyObject *__pyx_temp[4] = {__pyx_t_6, __pyx_v_grads_list, __pyx_t_8, __pyx_t_2};
              __pyx_t_23 = __Pyx_PyFunction_FastCall(__pyx_t_7, __pyx_temp+1-__pyx_t_18, 3+__pyx_t_18); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 448, __pyx_L18_error)
              __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
              __Pyx_GOTREF(__pyx_t_23);
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
            } else
            #endif
            #if CYTHON_FAST_PYCCALL
            if (__Pyx_PyFastCFunction_Check(__pyx_t_7)) {
              PyObject *__pyx_temp[4] = {__pyx_t_6, __pyx_v_grads_list, __pyx_t_8, __pyx_t_2};
              __pyx_t_23 = __Pyx_PyCFunction_FastCall(__pyx_t_7, __pyx_temp+1-__pyx_t_18, 3+__pyx_t_18); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 448, __pyx_L18_error)
              __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
              __Pyx_GOTREF(__pyx_t_23);
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
            } else
            #endif
            {
              __pyx_t_22 = PyTuple_New(3+__pyx_t_18); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 448, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_22);
              if (__pyx_t_6) {
                __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_22, 0, __pyx_t_6); __pyx_t_6 = NULL;
              }
              __Pyx_INCREF(__pyx_v_grads_list);
              __Pyx_GIVEREF(__pyx_v_grads_list);
              PyTuple_SET_ITEM(__pyx_t_22, 0+__pyx_t_18, __pyx_v_grads_list);
              __Pyx_GIVEREF(__pyx_t_8);
              PyTuple_SET_ITEM(__pyx_t_22, 1+__pyx_t_18, __pyx_t_8);
              __Pyx_GIVEREF(__pyx_t_2);
              PyTuple_SET_ITEM(__pyx_t_22, 2+__pyx_t_18, __pyx_t_2);
              __pyx_t_8 = 0;
              __pyx_t_2 = 0;
              __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_22, NULL); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 448, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_23);
              __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
            }
            __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
            __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":449
 *                     _delta_arr, grads_list = self.back_propagation(pred_arr, delta_arr)
 *                     self.optimize(grads_list, learning_rate, epoch)
 *                     self.graph.hidden_activity_arr = np.array([])             # <<<<<<<<<<<<<<
 *                     self.graph.cec_activity_arr = np.array([])
 * 
 */
            __pyx_t_7 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 449, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_7);
            __pyx_t_22 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_array); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 449, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_22);
            __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
            __pyx_t_7 = PyList_New(0); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 449, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_7);
            __pyx_t_2 = NULL;
            if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_22))) {
              __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_22);
              if (likely(__pyx_t_2)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_22);
                __Pyx_INCREF(__pyx_t_2);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_22, function);
              }
            }
            if (!__pyx_t_2) {
              __pyx_t_23 = __Pyx_PyObject_CallOneArg(__pyx_t_22, __pyx_t_7); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 449, __pyx_L18_error)
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
              __Pyx_GOTREF(__pyx_t_23);
            } else {
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_22)) {
                PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_7};
                __pyx_t_23 = __Pyx_PyFunction_FastCall(__pyx_t_22, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 449, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_22)) {
                PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_7};
                __pyx_t_23 = __Pyx_PyCFunction_FastCall(__pyx_t_22, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 449, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
              } else
              #endif
              {
                __pyx_t_8 = PyTuple_New(1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 449, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_8);
                __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_2); __pyx_t_2 = NULL;
                __Pyx_GIVEREF(__pyx_t_7);
                PyTuple_SET_ITEM(__pyx_t_8, 0+1, __pyx_t_7);
                __pyx_t_7 = 0;
                __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_22, __pyx_t_8, NULL); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 449, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              }
            }
            __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
            __pyx_t_22 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 449, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_22);
            if (__Pyx_PyObject_SetAttrStr(__pyx_t_22, __pyx_n_s_hidden_activity_arr, __pyx_t_23) < 0) __PYX_ERR(0, 449, __pyx_L18_error)
            __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
            __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":450
 *                     self.optimize(grads_list, learning_rate, epoch)
 *                     self.graph.hidden_activity_arr = np.array([])
 *                     self.graph.cec_activity_arr = np.array([])             # <<<<<<<<<<<<<<
 * 
 *                     if min_loss is None or min_loss > loss:
 */
            __pyx_t_23 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 450, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_23);
            __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_23, __pyx_n_s_array); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 450, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_8);
            __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
            __pyx_t_23 = PyList_New(0); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 450, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_23);
            __pyx_t_7 = NULL;
            if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_8))) {
              __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_8);
              if (likely(__pyx_t_7)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
                __Pyx_INCREF(__pyx_t_7);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_8, function);
              }
            }
            if (!__pyx_t_7) {
              __pyx_t_22 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_23); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 450, __pyx_L18_error)
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              __Pyx_GOTREF(__pyx_t_22);
            } else {
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_8)) {
                PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_23};
                __pyx_t_22 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 450, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
                __Pyx_GOTREF(__pyx_t_22);
                __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
                PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_23};
                __pyx_t_22 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 450, __pyx_L18_error)
                __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
                __Pyx_GOTREF(__pyx_t_22);
                __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              } else
              #endif
              {
                __pyx_t_2 = PyTuple_New(1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 450, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_2);
                __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_7); __pyx_t_7 = NULL;
                __Pyx_GIVEREF(__pyx_t_23);
                PyTuple_SET_ITEM(__pyx_t_2, 0+1, __pyx_t_23);
                __pyx_t_23 = 0;
                __pyx_t_22 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_2, NULL); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 450, __pyx_L18_error)
                __Pyx_GOTREF(__pyx_t_22);
                __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              }
            }
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 450, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_8);
            if (__Pyx_PyObject_SetAttrStr(__pyx_t_8, __pyx_n_s_cec_activity_arr, __pyx_t_22) < 0) __PYX_ERR(0, 450, __pyx_L18_error)
            __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":452
 *                     self.graph.cec_activity_arr = np.array([])
 * 
 *                     if min_loss is None or min_loss > loss:             # <<<<<<<<<<<<<<
 *                         min_loss = loss
 *                         best_params_list = [
 */
            __pyx_t_5 = (__pyx_v_min_loss == Py_None);
            __pyx_t_26 = (__pyx_t_5 != 0);
            if (!__pyx_t_26) {
            } else {
              __pyx_t_4 = __pyx_t_26;
              goto __pyx_L35_bool_binop_done;
            }
            __pyx_t_8 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 452, __pyx_L18_error)
            __Pyx_GOTREF(__pyx_t_8);
            __pyx_t_22 = PyObject_RichCompare(__pyx_v_min_loss, __pyx_t_8, Py_GT); __Pyx_XGOTREF(__pyx_t_22); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 452, __pyx_L18_error)
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            __pyx_t_26 = __Pyx_PyObject_IsTrue(__pyx_t_22); if (unlikely(__pyx_t_26 < 0)) __PYX_ERR(0, 452, __pyx_L18_error)
            __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
            __pyx_t_4 = __pyx_t_26;
            __pyx_L35_bool_binop_done:;
            if (__pyx_t_4) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":453
 * 
 *                     if min_loss is None or min_loss > loss:
 *                         min_loss = loss             # <<<<<<<<<<<<<<
 *                         best_params_list = [
 *                             self.__given_conv.graph.weight_arr,
 */
              __pyx_t_22 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 453, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_22);
              __Pyx_DECREF_SET(__pyx_v_min_loss, __pyx_t_22);
              __pyx_t_22 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":455
 *                         min_loss = loss
 *                         best_params_list = [
 *                             self.__given_conv.graph.weight_arr,             # <<<<<<<<<<<<<<
 *                             self.__input_conv.graph.weight_arr,
 *                             self.__forgot_conv.graph.weight_arr,
 */
              __pyx_t_22 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 455, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_22);
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_22, __pyx_n_s_graph); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 455, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_8);
              __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
              __pyx_t_22 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 455, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_22);
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":456
 *                         best_params_list = [
 *                             self.__given_conv.graph.weight_arr,
 *                             self.__input_conv.graph.weight_arr,             # <<<<<<<<<<<<<<
 *                             self.__forgot_conv.graph.weight_arr,
 *                             self.__output_conv.graph.weight_arr,
 */
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 456, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_8);
              __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 456, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_2);
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 456, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_8);
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":457
 *                             self.__given_conv.graph.weight_arr,
 *                             self.__input_conv.graph.weight_arr,
 *                             self.__forgot_conv.graph.weight_arr,             # <<<<<<<<<<<<<<
 *                             self.__output_conv.graph.weight_arr,
 *                             self.__given_conv.graph.bias_arr,
 */
              __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 457, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_2);
              __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 457, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_23);
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_23, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 457, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_2);
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":458
 *                             self.__input_conv.graph.weight_arr,
 *                             self.__forgot_conv.graph.weight_arr,
 *                             self.__output_conv.graph.weight_arr,             # <<<<<<<<<<<<<<
 *                             self.__given_conv.graph.bias_arr,
 *                             self.__input_conv.graph.bias_arr,
 */
              __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 458, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_23);
              __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_23, __pyx_n_s_graph); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 458, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_7);
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 458, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_23);
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":459
 *                             self.__forgot_conv.graph.weight_arr,
 *                             self.__output_conv.graph.weight_arr,
 *                             self.__given_conv.graph.bias_arr,             # <<<<<<<<<<<<<<
 *                             self.__input_conv.graph.bias_arr,
 *                             self.__forgot_conv.graph.bias_arr,
 */
              __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 459, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_7);
              __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_graph); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 459, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_6);
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
              __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_bias_arr); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 459, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_7);
              __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":460
 *                             self.__output_conv.graph.weight_arr,
 *                             self.__given_conv.graph.bias_arr,
 *                             self.__input_conv.graph.bias_arr,             # <<<<<<<<<<<<<<
 *                             self.__forgot_conv.graph.bias_arr,
 *                             self.__output_conv.graph.bias_arr
 */
              __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 460, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_6);
              __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_graph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 460, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_1);
              __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
              __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_bias_arr); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 460, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_6);
              __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":461
 *                             self.__given_conv.graph.bias_arr,
 *                             self.__input_conv.graph.bias_arr,
 *                             self.__forgot_conv.graph.bias_arr,             # <<<<<<<<<<<<<<
 *                             self.__output_conv.graph.bias_arr
 *                         ]
 */
              __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 461, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_1);
              __pyx_t_27 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_graph); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 461, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_27);
              __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
              __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_27, __pyx_n_s_bias_arr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 461, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_1);
              __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":462
 *                             self.__input_conv.graph.bias_arr,
 *                             self.__forgot_conv.graph.bias_arr,
 *                             self.__output_conv.graph.bias_arr             # <<<<<<<<<<<<<<
 *                         ]
 *                         self.__logger.debug("Best params are updated.")
 */
              __pyx_t_27 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 462, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_27);
              __pyx_t_28 = __Pyx_PyObject_GetAttrStr(__pyx_t_27, __pyx_n_s_graph); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 462, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_28);
              __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;
              __pyx_t_27 = __Pyx_PyObject_GetAttrStr(__pyx_t_28, __pyx_n_s_bias_arr); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 462, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_27);
              __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":454
 *                     if min_loss is None or min_loss > loss:
 *                         min_loss = loss
 *                         best_params_list = [             # <<<<<<<<<<<<<<
 *                             self.__given_conv.graph.weight_arr,
 *                             self.__input_conv.graph.weight_arr,
 */
              __pyx_t_28 = PyList_New(8); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 454, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_28);
              __Pyx_GIVEREF(__pyx_t_22);
              PyList_SET_ITEM(__pyx_t_28, 0, __pyx_t_22);
              __Pyx_GIVEREF(__pyx_t_8);
              PyList_SET_ITEM(__pyx_t_28, 1, __pyx_t_8);
              __Pyx_GIVEREF(__pyx_t_2);
              PyList_SET_ITEM(__pyx_t_28, 2, __pyx_t_2);
              __Pyx_GIVEREF(__pyx_t_23);
              PyList_SET_ITEM(__pyx_t_28, 3, __pyx_t_23);
              __Pyx_GIVEREF(__pyx_t_7);
              PyList_SET_ITEM(__pyx_t_28, 4, __pyx_t_7);
              __Pyx_GIVEREF(__pyx_t_6);
              PyList_SET_ITEM(__pyx_t_28, 5, __pyx_t_6);
              __Pyx_GIVEREF(__pyx_t_1);
              PyList_SET_ITEM(__pyx_t_28, 6, __pyx_t_1);
              __Pyx_GIVEREF(__pyx_t_27);
              PyList_SET_ITEM(__pyx_t_28, 7, __pyx_t_27);
              __pyx_t_22 = 0;
              __pyx_t_8 = 0;
              __pyx_t_2 = 0;
              __pyx_t_23 = 0;
              __pyx_t_7 = 0;
              __pyx_t_6 = 0;
              __pyx_t_1 = 0;
              __pyx_t_27 = 0;
              __Pyx_DECREF_SET(__pyx_v_best_params_list, ((PyObject*)__pyx_t_28));
              __pyx_t_28 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":464
 *                             self.__output_conv.graph.bias_arr
 *                         ]
 *                         self.__logger.debug("Best params are updated.")             # <<<<<<<<<<<<<<
 * 
 *                 except FloatingPointError:
 */
              __pyx_t_28 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__logger); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 464, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_28);
              __pyx_t_27 = __Pyx_PyObject_GetAttrStr(__pyx_t_28, __pyx_n_s_debug); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 464, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_27);
              __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
              __pyx_t_28 = __Pyx_PyObject_Call(__pyx_t_27, __pyx_tuple__28, NULL); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 464, __pyx_L18_error)
              __Pyx_GOTREF(__pyx_t_28);
              __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;
              __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":452
 *                     self.graph.cec_activity_arr = np.array([])
 * 
 *                     if min_loss is None or min_loss > loss:             # <<<<<<<<<<<<<<
 *                         min_loss = loss
 *                         best_params_list = [
 */
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":388
 *                 batch_target_arr = train_target_arr[rand_index]
 * 
 *                 try:             # <<<<<<<<<<<<<<
 *                     pred_arr = self.forward_propagation(batch_observed_arr)
 *                     ver_pred_arr = pred_arr.copy()
 */
          }
          __Pyx_XDECREF(__pyx_t_21); __pyx_t_21 = 0;
          __Pyx_XDECREF(__pyx_t_20); __pyx_t_20 = 0;
          __Pyx_XDECREF(__pyx_t_19); __pyx_t_19 = 0;
          goto __pyx_L25_try_end;
          __pyx_L18_error:;
          __Pyx_XDECREF(__pyx_t_22); __pyx_t_22 = 0;
          __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
          __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
          __Pyx_XDECREF(__pyx_t_23); __pyx_t_23 = 0;
          __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
          __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
          __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
          __Pyx_XDECREF(__pyx_t_27); __pyx_t_27 = 0;
          __Pyx_XDECREF(__pyx_t_28); __pyx_t_28 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":466
 *                         self.__logger.debug("Best params are updated.")
 * 
 *                 except FloatingPointError:             # <<<<<<<<<<<<<<
 *                     if epoch > int(self.__epochs * 0.7):
 *                         self.__logger.debug(
 */
          __pyx_t_18 = __Pyx_PyErr_ExceptionMatches(__pyx_builtin_FloatingPointError);
          if (__pyx_t_18) {
            __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.learn", __pyx_clineno, __pyx_lineno, __pyx_filename);
            if (__Pyx_GetException(&__pyx_t_28, &__pyx_t_27, &__pyx_t_1) < 0) __PYX_ERR(0, 466, __pyx_L20_except_error)
            __Pyx_GOTREF(__pyx_t_28);
            __Pyx_GOTREF(__pyx_t_27);
            __Pyx_GOTREF(__pyx_t_1);

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":467
 * 
 *                 except FloatingPointError:
 *                     if epoch > int(self.__epochs * 0.7):             # <<<<<<<<<<<<<<
 *                         self.__logger.debug(
 *                             "Underflow occurred when the parameters are being updated. Because of early stopping, this error is catched and the parameter is not updated."
 */
            __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_epoch); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 467, __pyx_L20_except_error)
            __Pyx_GOTREF(__pyx_t_6);
            __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__epochs); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 467, __pyx_L20_except_error)
            __Pyx_GOTREF(__pyx_t_7);
            __pyx_t_23 = PyNumber_Multiply(__pyx_t_7, __pyx_float_0_7); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 467, __pyx_L20_except_error)
            __Pyx_GOTREF(__pyx_t_23);
            __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
            __pyx_t_7 = __Pyx_PyNumber_Int(__pyx_t_23); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 467, __pyx_L20_except_error)
            __Pyx_GOTREF(__pyx_t_7);
            __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
            __pyx_t_23 = PyObject_RichCompare(__pyx_t_6, __pyx_t_7, Py_GT); __Pyx_XGOTREF(__pyx_t_23); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 467, __pyx_L20_except_error)
            __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
            __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
            __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_23); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 467, __pyx_L20_except_error)
            __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
            if (likely(__pyx_t_4)) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":468
 *                 except FloatingPointError:
 *                     if epoch > int(self.__epochs * 0.7):
 *                         self.__logger.debug(             # <<<<<<<<<<<<<<
 *                             "Underflow occurred when the parameters are being updated. Because of early stopping, this error is catched and the parameter is not updated."
 *                         )
 */
              __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__logger); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 468, __pyx_L20_except_error)
              __Pyx_GOTREF(__pyx_t_23);
              __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_23, __pyx_n_s_debug); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 468, __pyx_L20_except_error)
              __Pyx_GOTREF(__pyx_t_7);
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_tuple__29, NULL); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 468, __pyx_L20_except_error)
              __Pyx_GOTREF(__pyx_t_23);
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":471
 *                             "Underflow occurred when the parameters are being updated. Because of early stopping, this error is catched and the parameter is not updated."
 *                         )
 *                         eary_stop_flag = True             # <<<<<<<<<<<<<<
 *                         break
 *                     else:
 */
              __pyx_v_eary_stop_flag = 1;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":472
 *                         )
 *                         eary_stop_flag = True
 *                         break             # <<<<<<<<<<<<<<
 *                     else:
 *                         raise
 */
              goto __pyx_L37_except_break;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":467
 * 
 *                 except FloatingPointError:
 *                     if epoch > int(self.__epochs * 0.7):             # <<<<<<<<<<<<<<
 *                         self.__logger.debug(
 *                             "Underflow occurred when the parameters are being updated. Because of early stopping, this error is catched and the parameter is not updated."
 */
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":474
 *                         break
 *                     else:
 *                         raise             # <<<<<<<<<<<<<<
 * 
 *                 if self.__test_size_rate > 0:
 */
            /*else*/ {
              __Pyx_GIVEREF(__pyx_t_28);
              __Pyx_GIVEREF(__pyx_t_27);
              __Pyx_XGIVEREF(__pyx_t_1);
              __Pyx_ErrRestoreWithState(__pyx_t_28, __pyx_t_27, __pyx_t_1);
              __pyx_t_28 = 0; __pyx_t_27 = 0; __pyx_t_1 = 0; 
              __PYX_ERR(0, 474, __pyx_L20_except_error)
            }
            __pyx_L37_except_break:;
            __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
            __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;
            __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
            goto __pyx_L23_try_break;
          }
          goto __pyx_L20_except_error;
          __pyx_L20_except_error:;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":388
 *                 batch_target_arr = train_target_arr[rand_index]
 * 
 *                 try:             # <<<<<<<<<<<<<<
 *                     pred_arr = self.forward_propagation(batch_observed_arr)
 *                     ver_pred_arr = pred_arr.copy()
 */
          __Pyx_XGIVEREF(__pyx_t_21);
          __Pyx_XGIVEREF(__pyx_t_20);
          __Pyx_XGIVEREF(__pyx_t_19);
          __Pyx_ExceptionReset(__pyx_t_21, __pyx_t_20, __pyx_t_19);
          goto __pyx_L9_error;
          __pyx_L23_try_break:;
          __Pyx_XGIVEREF(__pyx_t_21);
          __Pyx_XGIVEREF(__pyx_t_20);
          __Pyx_XGIVEREF(__pyx_t_19);
          __Pyx_ExceptionReset(__pyx_t_21, __pyx_t_20, __pyx_t_19);
          goto __pyx_L16_break;
          __pyx_L25_try_end:;
        }

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":476
 *                         raise
 * 
 *                 if self.__test_size_rate > 0:             # <<<<<<<<<<<<<<
 *                     self.__opt_params.inferencing_mode = True
 *                     rand_index = np.random.choice(test_observed_arr.shape[0], size=self.__batch_size)
 */
        __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__test_size_rate); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 476, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_1);
        __pyx_t_27 = PyObject_RichCompare(__pyx_t_1, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_27); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 476, __pyx_L9_error)
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
        __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_27); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 476, __pyx_L9_error)
        __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;
        if (__pyx_t_4) {

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":477
 * 
 *                 if self.__test_size_rate > 0:
 *                     self.__opt_params.inferencing_mode = True             # <<<<<<<<<<<<<<
 *                     rand_index = np.random.choice(test_observed_arr.shape[0], size=self.__batch_size)
 *                     test_batch_observed_arr = test_observed_arr[rand_index]
 */
          __pyx_t_27 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 477, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_27);
          if (__Pyx_PyObject_SetAttrStr(__pyx_t_27, __pyx_n_s_inferencing_mode, Py_True) < 0) __PYX_ERR(0, 477, __pyx_L9_error)
          __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":478
 *                 if self.__test_size_rate > 0:
 *                     self.__opt_params.inferencing_mode = True
 *                     rand_index = np.random.choice(test_observed_arr.shape[0], size=self.__batch_size)             # <<<<<<<<<<<<<<
 *                     test_batch_observed_arr = test_observed_arr[rand_index]
 *                     test_batch_target_arr = test_target_arr[rand_index]
 */
          __pyx_t_27 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 478, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_27);
          __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_27, __pyx_n_s_random); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 478, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_1);
          __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;
          __pyx_t_27 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_choice); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 478, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_27);
          __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
          __pyx_t_1 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_test_observed_arr->dimensions[0])); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 478, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_1);
          __pyx_t_28 = PyTuple_New(1); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 478, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_28);
          __Pyx_GIVEREF(__pyx_t_1);
          PyTuple_SET_ITEM(__pyx_t_28, 0, __pyx_t_1);
          __pyx_t_1 = 0;
          __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 478, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_1);
          __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__batch_size); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 478, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_23);
          if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_size, __pyx_t_23) < 0) __PYX_ERR(0, 478, __pyx_L9_error)
          __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
          __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_27, __pyx_t_28, __pyx_t_1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 478, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_23);
          __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;
          __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
          __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
          if (!(likely(((__pyx_t_23) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_23, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 478, __pyx_L9_error)
          __Pyx_DECREF_SET(__pyx_v_rand_index, ((PyArrayObject *)__pyx_t_23));
          __pyx_t_23 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":479
 *                     self.__opt_params.inferencing_mode = True
 *                     rand_index = np.random.choice(test_observed_arr.shape[0], size=self.__batch_size)
 *                     test_batch_observed_arr = test_observed_arr[rand_index]             # <<<<<<<<<<<<<<
 *                     test_batch_target_arr = test_target_arr[rand_index]
 * 
 */
          __pyx_t_23 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_test_observed_arr), ((PyObject *)__pyx_v_rand_index)); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 479, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_23);
          __Pyx_XDECREF_SET(__pyx_v_test_batch_observed_arr, __pyx_t_23);
          __pyx_t_23 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":480
 *                     rand_index = np.random.choice(test_observed_arr.shape[0], size=self.__batch_size)
 *                     test_batch_observed_arr = test_observed_arr[rand_index]
 *                     test_batch_target_arr = test_target_arr[rand_index]             # <<<<<<<<<<<<<<
 * 
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 */
          if (unlikely(!__pyx_v_test_target_arr)) { __Pyx_RaiseUnboundLocalError("test_target_arr"); __PYX_ERR(0, 480, __pyx_L9_error) }
          __pyx_t_23 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_test_target_arr), ((PyObject *)__pyx_v_rand_index)); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 480, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_23);
          __Pyx_XDECREF_SET(__pyx_v_test_batch_target_arr, __pyx_t_23);
          __pyx_t_23 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":482
 *                     test_batch_target_arr = test_target_arr[rand_index]
 * 
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)             # <<<<<<<<<<<<<<
 *                     test_weight_decay = self.weight_decay_term
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 */
          __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_forward_propagation); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 482, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_1);
          __pyx_t_28 = NULL;
          if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) {
            __pyx_t_28 = PyMethod_GET_SELF(__pyx_t_1);
            if (likely(__pyx_t_28)) {
              PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1);
              __Pyx_INCREF(__pyx_t_28);
              __Pyx_INCREF(function);
              __Pyx_DECREF_SET(__pyx_t_1, function);
            }
          }
          if (!__pyx_t_28) {
            __pyx_t_23 = __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_v_test_batch_observed_arr); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 482, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_23);
          } else {
            #if CYTHON_FAST_PYCALL
            if (PyFunction_Check(__pyx_t_1)) {
              PyObject *__pyx_temp[2] = {__pyx_t_28, __pyx_v_test_batch_observed_arr};
              __pyx_t_23 = __Pyx_PyFunction_FastCall(__pyx_t_1, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 482, __pyx_L9_error)
              __Pyx_XDECREF(__pyx_t_28); __pyx_t_28 = 0;
              __Pyx_GOTREF(__pyx_t_23);
            } else
            #endif
            #if CYTHON_FAST_PYCCALL
            if (__Pyx_PyFastCFunction_Check(__pyx_t_1)) {
              PyObject *__pyx_temp[2] = {__pyx_t_28, __pyx_v_test_batch_observed_arr};
              __pyx_t_23 = __Pyx_PyCFunction_FastCall(__pyx_t_1, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 482, __pyx_L9_error)
              __Pyx_XDECREF(__pyx_t_28); __pyx_t_28 = 0;
              __Pyx_GOTREF(__pyx_t_23);
            } else
            #endif
            {
              __pyx_t_27 = PyTuple_New(1+1); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 482, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_27);
              __Pyx_GIVEREF(__pyx_t_28); PyTuple_SET_ITEM(__pyx_t_27, 0, __pyx_t_28); __pyx_t_28 = NULL;
              __Pyx_INCREF(__pyx_v_test_batch_observed_arr);
              __Pyx_GIVEREF(__pyx_v_test_batch_observed_arr);
              PyTuple_SET_ITEM(__pyx_t_27, 0+1, __pyx_v_test_batch_observed_arr);
              __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_27, NULL); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 482, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_23);
              __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;
            }
          }
          __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
          if (!(likely(((__pyx_t_23) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_23, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 482, __pyx_L9_error)
          __Pyx_XDECREF_SET(__pyx_v_test_pred_arr, ((PyArrayObject *)__pyx_t_23));
          __pyx_t_23 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":483
 * 
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 *                     test_weight_decay = self.weight_decay_term             # <<<<<<<<<<<<<<
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 *                         test_loss = self.__computable_loss.compute_loss(
 */
          __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 483, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_23);
          __Pyx_XDECREF_SET(__pyx_v_test_weight_decay, __pyx_t_23);
          __pyx_t_23 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":484
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 *                     test_weight_decay = self.weight_decay_term
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 */
          __pyx_t_23 = __Pyx_PyInt_From_int(__pyx_v_test_pred_arr->nd); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 484, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_23);
          __pyx_t_1 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__31); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 484, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_1);
          __pyx_t_27 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_ndim); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 484, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_27);
          __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
          __pyx_t_1 = PyObject_RichCompare(__pyx_t_23, __pyx_t_27, Py_EQ); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 484, __pyx_L9_error)
          __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
          __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;
          __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 484, __pyx_L9_error)
          __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
          if (__pyx_t_4) {

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":485
 *                     test_weight_decay = self.weight_decay_term
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 *                         test_loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1]
 */
            __pyx_t_27 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 485, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_27);
            __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_t_27, __pyx_n_s_compute_loss); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 485, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_23);
            __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":487
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                         )
 *                     else:
 */
            __pyx_t_27 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__33); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 487, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_27);
            __pyx_t_28 = NULL;
            __pyx_t_18 = 0;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_23))) {
              __pyx_t_28 = PyMethod_GET_SELF(__pyx_t_23);
              if (likely(__pyx_t_28)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_23);
                __Pyx_INCREF(__pyx_t_28);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_23, function);
                __pyx_t_18 = 1;
              }
            }
            #if CYTHON_FAST_PYCALL
            if (PyFunction_Check(__pyx_t_23)) {
              PyObject *__pyx_temp[3] = {__pyx_t_28, ((PyObject *)__pyx_v_test_pred_arr), __pyx_t_27};
              __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_23, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 485, __pyx_L9_error)
              __Pyx_XDECREF(__pyx_t_28); __pyx_t_28 = 0;
              __Pyx_GOTREF(__pyx_t_1);
              __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;
            } else
            #endif
            #if CYTHON_FAST_PYCCALL
            if (__Pyx_PyFastCFunction_Check(__pyx_t_23)) {
              PyObject *__pyx_temp[3] = {__pyx_t_28, ((PyObject *)__pyx_v_test_pred_arr), __pyx_t_27};
              __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_23, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 485, __pyx_L9_error)
              __Pyx_XDECREF(__pyx_t_28); __pyx_t_28 = 0;
              __Pyx_GOTREF(__pyx_t_1);
              __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;
            } else
            #endif
            {
              __pyx_t_7 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 485, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_7);
              if (__pyx_t_28) {
                __Pyx_GIVEREF(__pyx_t_28); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_28); __pyx_t_28 = NULL;
              }
              __Pyx_INCREF(((PyObject *)__pyx_v_test_pred_arr));
              __Pyx_GIVEREF(((PyObject *)__pyx_v_test_pred_arr));
              PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_18, ((PyObject *)__pyx_v_test_pred_arr));
              __Pyx_GIVEREF(__pyx_t_27);
              PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_18, __pyx_t_27);
              __pyx_t_27 = 0;
              __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_23, __pyx_t_7, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 485, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_1);
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
            }
            __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":485
 *                     test_weight_decay = self.weight_decay_term
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 *                         test_loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1]
 */
            __pyx_t_3 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_3 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 485, __pyx_L9_error)
            __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
            __pyx_v_test_loss = __pyx_t_3;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":484
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 *                     test_weight_decay = self.weight_decay_term
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 */
            goto __pyx_L41;
          }

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":490
 *                         )
 *                     else:
 *                         test_loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1].reshape((
 */
          /*else*/ {
            __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 490, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_23);
            __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_23, __pyx_n_s_compute_loss); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 490, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_7);
            __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":492
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                 test_batch_target_arr[:, -1].shape[0],
 *                                 -1
 */
            __pyx_t_27 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__35); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 492, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_27);
            __pyx_t_28 = __Pyx_PyObject_GetAttrStr(__pyx_t_27, __pyx_n_s_reshape); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 492, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_28);
            __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":493
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1].reshape((
 *                                 test_batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                 -1
 *                             ))
 */
            __pyx_t_27 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__37); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 493, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_27);
            __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_27, __pyx_n_s_shape); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 493, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_6);
            __Pyx_DECREF(__pyx_t_27); __pyx_t_27 = 0;
            __pyx_t_27 = __Pyx_GetItemInt(__pyx_t_6, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_27)) __PYX_ERR(0, 493, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_27);
            __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
            __pyx_t_6 = PyTuple_New(2); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 493, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_6);
            __Pyx_GIVEREF(__pyx_t_27);
            PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_27);
            __Pyx_INCREF(__pyx_int_neg_1);
            __Pyx_GIVEREF(__pyx_int_neg_1);
            PyTuple_SET_ITEM(__pyx_t_6, 1, __pyx_int_neg_1);
            __pyx_t_27 = 0;
            __pyx_t_27 = NULL;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_28))) {
              __pyx_t_27 = PyMethod_GET_SELF(__pyx_t_28);
              if (likely(__pyx_t_27)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_28);
                __Pyx_INCREF(__pyx_t_27);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_28, function);
              }
            }
            if (!__pyx_t_27) {
              __pyx_t_23 = __Pyx_PyObject_CallOneArg(__pyx_t_28, __pyx_t_6); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 492, __pyx_L9_error)
              __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
              __Pyx_GOTREF(__pyx_t_23);
            } else {
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_28)) {
                PyObject *__pyx_temp[2] = {__pyx_t_27, __pyx_t_6};
                __pyx_t_23 = __Pyx_PyFunction_FastCall(__pyx_t_28, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 492, __pyx_L9_error)
                __Pyx_XDECREF(__pyx_t_27); __pyx_t_27 = 0;
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_28)) {
                PyObject *__pyx_temp[2] = {__pyx_t_27, __pyx_t_6};
                __pyx_t_23 = __Pyx_PyCFunction_FastCall(__pyx_t_28, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 492, __pyx_L9_error)
                __Pyx_XDECREF(__pyx_t_27); __pyx_t_27 = 0;
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
              } else
              #endif
              {
                __pyx_t_2 = PyTuple_New(1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 492, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_2);
                __Pyx_GIVEREF(__pyx_t_27); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_27); __pyx_t_27 = NULL;
                __Pyx_GIVEREF(__pyx_t_6);
                PyTuple_SET_ITEM(__pyx_t_2, 0+1, __pyx_t_6);
                __pyx_t_6 = 0;
                __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_28, __pyx_t_2, NULL); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 492, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              }
            }
            __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
            __pyx_t_28 = NULL;
            __pyx_t_18 = 0;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) {
              __pyx_t_28 = PyMethod_GET_SELF(__pyx_t_7);
              if (likely(__pyx_t_28)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
                __Pyx_INCREF(__pyx_t_28);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_7, function);
                __pyx_t_18 = 1;
              }
            }
            #if CYTHON_FAST_PYCALL
            if (PyFunction_Check(__pyx_t_7)) {
              PyObject *__pyx_temp[3] = {__pyx_t_28, ((PyObject *)__pyx_v_test_pred_arr), __pyx_t_23};
              __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_7, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 490, __pyx_L9_error)
              __Pyx_XDECREF(__pyx_t_28); __pyx_t_28 = 0;
              __Pyx_GOTREF(__pyx_t_1);
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
            } else
            #endif
            #if CYTHON_FAST_PYCCALL
            if (__Pyx_PyFastCFunction_Check(__pyx_t_7)) {
              PyObject *__pyx_temp[3] = {__pyx_t_28, ((PyObject *)__pyx_v_test_pred_arr), __pyx_t_23};
              __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_7, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 490, __pyx_L9_error)
              __Pyx_XDECREF(__pyx_t_28); __pyx_t_28 = 0;
              __Pyx_GOTREF(__pyx_t_1);
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
            } else
            #endif
            {
              __pyx_t_2 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 490, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_2);
              if (__pyx_t_28) {
                __Pyx_GIVEREF(__pyx_t_28); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_28); __pyx_t_28 = NULL;
              }
              __Pyx_INCREF(((PyObject *)__pyx_v_test_pred_arr));
              __Pyx_GIVEREF(((PyObject *)__pyx_v_test_pred_arr));
              PyTuple_SET_ITEM(__pyx_t_2, 0+__pyx_t_18, ((PyObject *)__pyx_v_test_pred_arr));
              __Pyx_GIVEREF(__pyx_t_23);
              PyTuple_SET_ITEM(__pyx_t_2, 1+__pyx_t_18, __pyx_t_23);
              __pyx_t_23 = 0;
              __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_2, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 490, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_1);
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
            }
            __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":490
 *                         )
 *                     else:
 *                         test_loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1].reshape((
 */
            __pyx_t_3 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_3 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 490, __pyx_L9_error)
            __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
            __pyx_v_test_loss = __pyx_t_3;
          }
          __pyx_L41:;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":497
 *                             ))
 *                         )
 *                     test_loss = test_loss + test_weight_decay             # <<<<<<<<<<<<<<
 * 
 *                     remember_flag = False
 */
          __pyx_t_1 = PyFloat_FromDouble(__pyx_v_test_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 497, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_1);
          __pyx_t_7 = PyNumber_Add(__pyx_t_1, __pyx_v_test_weight_decay); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 497, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_7);
          __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
          __pyx_t_3 = __pyx_PyFloat_AsDouble(__pyx_t_7); if (unlikely((__pyx_t_3 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 497, __pyx_L9_error)
          __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
          __pyx_v_test_loss = __pyx_t_3;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":499
 *                     test_loss = test_loss + test_weight_decay
 * 
 *                     remember_flag = False             # <<<<<<<<<<<<<<
 *                     if len(loss_list) > 0:
 *                         if abs(test_loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 */
          __pyx_v_remember_flag = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":500
 * 
 *                     remember_flag = False
 *                     if len(loss_list) > 0:             # <<<<<<<<<<<<<<
 *                         if abs(test_loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 *                             remember_flag = True
 */
          __pyx_t_24 = PyList_GET_SIZE(__pyx_v_loss_list); if (unlikely(__pyx_t_24 == ((Py_ssize_t)-1))) __PYX_ERR(0, 500, __pyx_L9_error)
          __pyx_t_4 = ((__pyx_t_24 > 0) != 0);
          if (__pyx_t_4) {

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":501
 *                     remember_flag = False
 *                     if len(loss_list) > 0:
 *                         if abs(test_loss - (sum(loss_list)/len(loss_list))) > self.__tld:             # <<<<<<<<<<<<<<
 *                             remember_flag = True
 * 
 */
            __pyx_t_7 = PyFloat_FromDouble(__pyx_v_test_loss); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 501, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_7);
            __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_builtin_sum, __pyx_v_loss_list); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 501, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_1);
            __pyx_t_24 = PyList_GET_SIZE(__pyx_v_loss_list); if (unlikely(__pyx_t_24 == ((Py_ssize_t)-1))) __PYX_ERR(0, 501, __pyx_L9_error)
            __pyx_t_2 = PyInt_FromSsize_t(__pyx_t_24); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 501, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_2);
            __pyx_t_23 = __Pyx_PyNumber_Divide(__pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 501, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_23);
            __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
            __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
            __pyx_t_2 = PyNumber_Subtract(__pyx_t_7, __pyx_t_23); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 501, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_2);
            __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
            __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
            __pyx_t_23 = __Pyx_PyNumber_Absolute(__pyx_t_2); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 501, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_23);
            __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
            __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__tld); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 501, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_2);
            __pyx_t_7 = PyObject_RichCompare(__pyx_t_23, __pyx_t_2, Py_GT); __Pyx_XGOTREF(__pyx_t_7); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 501, __pyx_L9_error)
            __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
            __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
            __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_7); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 501, __pyx_L9_error)
            __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
            if (__pyx_t_4) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":502
 *                     if len(loss_list) > 0:
 *                         if abs(test_loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 *                             remember_flag = True             # <<<<<<<<<<<<<<
 * 
 *                     if remember_flag is True:
 */
              __pyx_v_remember_flag = 1;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":501
 *                     remember_flag = False
 *                     if len(loss_list) > 0:
 *                         if abs(test_loss - (sum(loss_list)/len(loss_list))) > self.__tld:             # <<<<<<<<<<<<<<
 *                             remember_flag = True
 * 
 */
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":500
 * 
 *                     remember_flag = False
 *                     if len(loss_list) > 0:             # <<<<<<<<<<<<<<
 *                         if abs(test_loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 *                             remember_flag = True
 */
          }

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":504
 *                             remember_flag = True
 * 
 *                     if remember_flag is True:             # <<<<<<<<<<<<<<
 *                         self.__remember_best_params(best_params_list)
 *                         # Re-try.
 */
          __pyx_t_4 = ((__pyx_v_remember_flag == 1) != 0);
          if (__pyx_t_4) {

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":505
 * 
 *                     if remember_flag is True:
 *                         self.__remember_best_params(best_params_list)             # <<<<<<<<<<<<<<
 *                         # Re-try.
 *                         test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 */
            __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__remember_best_pa); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 505, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_2);
            __pyx_t_23 = NULL;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
              __pyx_t_23 = PyMethod_GET_SELF(__pyx_t_2);
              if (likely(__pyx_t_23)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
                __Pyx_INCREF(__pyx_t_23);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_2, function);
              }
            }
            if (!__pyx_t_23) {
              __pyx_t_7 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_v_best_params_list); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 505, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_7);
            } else {
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_2)) {
                PyObject *__pyx_temp[2] = {__pyx_t_23, __pyx_v_best_params_list};
                __pyx_t_7 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 505, __pyx_L9_error)
                __Pyx_XDECREF(__pyx_t_23); __pyx_t_23 = 0;
                __Pyx_GOTREF(__pyx_t_7);
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
                PyObject *__pyx_temp[2] = {__pyx_t_23, __pyx_v_best_params_list};
                __pyx_t_7 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 505, __pyx_L9_error)
                __Pyx_XDECREF(__pyx_t_23); __pyx_t_23 = 0;
                __Pyx_GOTREF(__pyx_t_7);
              } else
              #endif
              {
                __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 505, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_1);
                __Pyx_GIVEREF(__pyx_t_23); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_23); __pyx_t_23 = NULL;
                __Pyx_INCREF(__pyx_v_best_params_list);
                __Pyx_GIVEREF(__pyx_v_best_params_list);
                PyTuple_SET_ITEM(__pyx_t_1, 0+1, __pyx_v_best_params_list);
                __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_1, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 505, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_7);
                __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
              }
            }
            __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
            __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":507
 *                         self.__remember_best_params(best_params_list)
 *                         # Re-try.
 *                         test_pred_arr = self.forward_propagation(test_batch_observed_arr)             # <<<<<<<<<<<<<<
 * 
 *                     self.__opt_params.dropout_rate = self.__dropout_rate
 */
            __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_forward_propagation); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 507, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_2);
            __pyx_t_1 = NULL;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
              __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_2);
              if (likely(__pyx_t_1)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
                __Pyx_INCREF(__pyx_t_1);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_2, function);
              }
            }
            if (!__pyx_t_1) {
              __pyx_t_7 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_v_test_batch_observed_arr); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 507, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_7);
            } else {
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_2)) {
                PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_v_test_batch_observed_arr};
                __pyx_t_7 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 507, __pyx_L9_error)
                __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
                __Pyx_GOTREF(__pyx_t_7);
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
                PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_v_test_batch_observed_arr};
                __pyx_t_7 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 507, __pyx_L9_error)
                __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
                __Pyx_GOTREF(__pyx_t_7);
              } else
              #endif
              {
                __pyx_t_23 = PyTuple_New(1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 507, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_23, 0, __pyx_t_1); __pyx_t_1 = NULL;
                __Pyx_INCREF(__pyx_v_test_batch_observed_arr);
                __Pyx_GIVEREF(__pyx_v_test_batch_observed_arr);
                PyTuple_SET_ITEM(__pyx_t_23, 0+1, __pyx_v_test_batch_observed_arr);
                __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_23, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 507, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_7);
                __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              }
            }
            __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
            if (!(likely(((__pyx_t_7) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_7, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 507, __pyx_L9_error)
            __Pyx_DECREF_SET(__pyx_v_test_pred_arr, ((PyArrayObject *)__pyx_t_7));
            __pyx_t_7 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":504
 *                             remember_flag = True
 * 
 *                     if remember_flag is True:             # <<<<<<<<<<<<<<
 *                         self.__remember_best_params(best_params_list)
 *                         # Re-try.
 */
          }

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":509
 *                         test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 * 
 *                     self.__opt_params.dropout_rate = self.__dropout_rate             # <<<<<<<<<<<<<<
 *                     self.__opt_params.inferencing_mode = False
 *                     if self.__verificatable_result is not None:
 */
          __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__dropout_rate); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 509, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_7);
          __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 509, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_2);
          if (__Pyx_PyObject_SetAttrStr(__pyx_t_2, __pyx_n_s_dropout_rate, __pyx_t_7) < 0) __PYX_ERR(0, 509, __pyx_L9_error)
          __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
          __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":510
 * 
 *                     self.__opt_params.dropout_rate = self.__dropout_rate
 *                     self.__opt_params.inferencing_mode = False             # <<<<<<<<<<<<<<
 *                     if self.__verificatable_result is not None:
 *                         if self.__test_size_rate > 0:
 */
          __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 510, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_2);
          if (__Pyx_PyObject_SetAttrStr(__pyx_t_2, __pyx_n_s_inferencing_mode, Py_False) < 0) __PYX_ERR(0, 510, __pyx_L9_error)
          __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":511
 *                     self.__opt_params.dropout_rate = self.__dropout_rate
 *                     self.__opt_params.inferencing_mode = False
 *                     if self.__verificatable_result is not None:             # <<<<<<<<<<<<<<
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1]:
 */
          __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__verificatable_re); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 511, __pyx_L9_error)
          __Pyx_GOTREF(__pyx_t_2);
          __pyx_t_4 = (__pyx_t_2 != Py_None);
          __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
          __pyx_t_26 = (__pyx_t_4 != 0);
          if (__pyx_t_26) {

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":512
 *                     self.__opt_params.inferencing_mode = False
 *                     if self.__verificatable_result is not None:
 *                         if self.__test_size_rate > 0:             # <<<<<<<<<<<<<<
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1]:
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((
 */
            __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__test_size_rate); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 512, __pyx_L9_error)
            __Pyx_GOTREF(__pyx_t_2);
            __pyx_t_7 = PyObject_RichCompare(__pyx_t_2, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_7); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 512, __pyx_L9_error)
            __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
            __pyx_t_26 = __Pyx_PyObject_IsTrue(__pyx_t_7); if (unlikely(__pyx_t_26 < 0)) __PYX_ERR(0, 512, __pyx_L9_error)
            __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
            if (__pyx_t_26) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":513
 *                     if self.__verificatable_result is not None:
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1]:             # <<<<<<<<<<<<<<
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((
 *                                     batch_target_arr[:, -1].shape[0],
 */
              __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_ver_pred_arr, __pyx_n_s_ndim); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 513, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_7);
              __pyx_t_2 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__39); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 513, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_2);
              __pyx_t_23 = PyObject_RichCompare(__pyx_t_7, __pyx_t_2, Py_EQ); __Pyx_XGOTREF(__pyx_t_23); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 513, __pyx_L9_error)
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              __pyx_t_26 = __Pyx_PyObject_IsTrue(__pyx_t_23); if (unlikely(__pyx_t_26 < 0)) __PYX_ERR(0, 513, __pyx_L9_error)
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              if (__pyx_t_26) {

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":514
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1]:
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                     batch_target_arr[:, -1].shape[0],
 *                                     -1
 */
                __pyx_t_2 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__41); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 514, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_2);
                __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_reshape); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 514, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_7);
                __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":515
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1]:
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((
 *                                     batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                     -1
 *                                 ))
 */
                __pyx_t_2 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__43); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 515, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_2);
                __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_shape); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 515, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_1);
                __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
                __pyx_t_2 = __Pyx_GetItemInt(__pyx_t_1, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 515, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_2);
                __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
                __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 515, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_1);
                __Pyx_GIVEREF(__pyx_t_2);
                PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_2);
                __Pyx_INCREF(__pyx_int_neg_1);
                __Pyx_GIVEREF(__pyx_int_neg_1);
                PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_int_neg_1);
                __pyx_t_2 = 0;
                __pyx_t_2 = NULL;
                if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_7))) {
                  __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_7);
                  if (likely(__pyx_t_2)) {
                    PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
                    __Pyx_INCREF(__pyx_t_2);
                    __Pyx_INCREF(function);
                    __Pyx_DECREF_SET(__pyx_t_7, function);
                  }
                }
                if (!__pyx_t_2) {
                  __pyx_t_23 = __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_t_1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 514, __pyx_L9_error)
                  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
                  __Pyx_GOTREF(__pyx_t_23);
                } else {
                  #if CYTHON_FAST_PYCALL
                  if (PyFunction_Check(__pyx_t_7)) {
                    PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_1};
                    __pyx_t_23 = __Pyx_PyFunction_FastCall(__pyx_t_7, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 514, __pyx_L9_error)
                    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
                    __Pyx_GOTREF(__pyx_t_23);
                    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
                  } else
                  #endif
                  #if CYTHON_FAST_PYCCALL
                  if (__Pyx_PyFastCFunction_Check(__pyx_t_7)) {
                    PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_1};
                    __pyx_t_23 = __Pyx_PyCFunction_FastCall(__pyx_t_7, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 514, __pyx_L9_error)
                    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
                    __Pyx_GOTREF(__pyx_t_23);
                    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
                  } else
                  #endif
                  {
                    __pyx_t_28 = PyTuple_New(1+1); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 514, __pyx_L9_error)
                    __Pyx_GOTREF(__pyx_t_28);
                    __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_28, 0, __pyx_t_2); __pyx_t_2 = NULL;
                    __Pyx_GIVEREF(__pyx_t_1);
                    PyTuple_SET_ITEM(__pyx_t_28, 0+1, __pyx_t_1);
                    __pyx_t_1 = 0;
                    __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_28, NULL); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 514, __pyx_L9_error)
                    __Pyx_GOTREF(__pyx_t_23);
                    __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
                  }
                }
                __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
                __Pyx_XDECREF_SET(__pyx_v_train_label_arr, __pyx_t_23);
                __pyx_t_23 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":513
 *                     if self.__verificatable_result is not None:
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1]:             # <<<<<<<<<<<<<<
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((
 *                                     batch_target_arr[:, -1].shape[0],
 */
                goto __pyx_L47;
              }

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":519
 *                                 ))
 *                             else:
 *                                 train_label_arr = batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 * 
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 */
              /*else*/ {
                __pyx_t_23 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__45); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 519, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_XDECREF_SET(__pyx_v_train_label_arr, __pyx_t_23);
                __pyx_t_23 = 0;
              }
              __pyx_L47:;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":521
 *                                 train_label_arr = batch_target_arr[:, -1]
 * 
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                                 test_label_arr = test_batch_target_arr[:, -1].reshape((
 *                                     test_batch_target_arr[:, -1].shape[0],
 */
              __pyx_t_23 = __Pyx_PyInt_From_int(__pyx_v_test_pred_arr->nd); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 521, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_23);
              __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__47); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 521, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_7);
              __pyx_t_28 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_ndim); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 521, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_28);
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
              __pyx_t_7 = PyObject_RichCompare(__pyx_t_23, __pyx_t_28, Py_EQ); __Pyx_XGOTREF(__pyx_t_7); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 521, __pyx_L9_error)
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
              __pyx_t_26 = __Pyx_PyObject_IsTrue(__pyx_t_7); if (unlikely(__pyx_t_26 < 0)) __PYX_ERR(0, 521, __pyx_L9_error)
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
              if (__pyx_t_26) {

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":522
 * 
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 *                                 test_label_arr = test_batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                     test_batch_target_arr[:, -1].shape[0],
 *                                     -1
 */
                __pyx_t_28 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__49); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 522, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_28);
                __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_t_28, __pyx_n_s_reshape); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 522, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_23);
                __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":523
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 *                                 test_label_arr = test_batch_target_arr[:, -1].reshape((
 *                                     test_batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                     -1
 *                                 ))
 */
                __pyx_t_28 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__51); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 523, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_28);
                __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_28, __pyx_n_s_shape); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 523, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_1);
                __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
                __pyx_t_28 = __Pyx_GetItemInt(__pyx_t_1, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 523, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_28);
                __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
                __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 523, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_1);
                __Pyx_GIVEREF(__pyx_t_28);
                PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_28);
                __Pyx_INCREF(__pyx_int_neg_1);
                __Pyx_GIVEREF(__pyx_int_neg_1);
                PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_int_neg_1);
                __pyx_t_28 = 0;
                __pyx_t_28 = NULL;
                if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_23))) {
                  __pyx_t_28 = PyMethod_GET_SELF(__pyx_t_23);
                  if (likely(__pyx_t_28)) {
                    PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_23);
                    __Pyx_INCREF(__pyx_t_28);
                    __Pyx_INCREF(function);
                    __Pyx_DECREF_SET(__pyx_t_23, function);
                  }
                }
                if (!__pyx_t_28) {
                  __pyx_t_7 = __Pyx_PyObject_CallOneArg(__pyx_t_23, __pyx_t_1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 522, __pyx_L9_error)
                  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
                  __Pyx_GOTREF(__pyx_t_7);
                } else {
                  #if CYTHON_FAST_PYCALL
                  if (PyFunction_Check(__pyx_t_23)) {
                    PyObject *__pyx_temp[2] = {__pyx_t_28, __pyx_t_1};
                    __pyx_t_7 = __Pyx_PyFunction_FastCall(__pyx_t_23, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 522, __pyx_L9_error)
                    __Pyx_XDECREF(__pyx_t_28); __pyx_t_28 = 0;
                    __Pyx_GOTREF(__pyx_t_7);
                    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
                  } else
                  #endif
                  #if CYTHON_FAST_PYCCALL
                  if (__Pyx_PyFastCFunction_Check(__pyx_t_23)) {
                    PyObject *__pyx_temp[2] = {__pyx_t_28, __pyx_t_1};
                    __pyx_t_7 = __Pyx_PyCFunction_FastCall(__pyx_t_23, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 522, __pyx_L9_error)
                    __Pyx_XDECREF(__pyx_t_28); __pyx_t_28 = 0;
                    __Pyx_GOTREF(__pyx_t_7);
                    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
                  } else
                  #endif
                  {
                    __pyx_t_2 = PyTuple_New(1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 522, __pyx_L9_error)
                    __Pyx_GOTREF(__pyx_t_2);
                    __Pyx_GIVEREF(__pyx_t_28); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_28); __pyx_t_28 = NULL;
                    __Pyx_GIVEREF(__pyx_t_1);
                    PyTuple_SET_ITEM(__pyx_t_2, 0+1, __pyx_t_1);
                    __pyx_t_1 = 0;
                    __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_23, __pyx_t_2, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 522, __pyx_L9_error)
                    __Pyx_GOTREF(__pyx_t_7);
                    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
                  }
                }
                __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
                __Pyx_XDECREF_SET(__pyx_v_test_label_arr, __pyx_t_7);
                __pyx_t_7 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":521
 *                                 train_label_arr = batch_target_arr[:, -1]
 * 
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                                 test_label_arr = test_batch_target_arr[:, -1].reshape((
 *                                     test_batch_target_arr[:, -1].shape[0],
 */
                goto __pyx_L48;
              }

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":527
 *                                 ))
 *                             else:
 *                                 test_label_arr = test_batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 * 
 *                             self.__verificatable_result.verificate(
 */
              /*else*/ {
                __pyx_t_7 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__53); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 527, __pyx_L9_error)
                __Pyx_GOTREF(__pyx_t_7);
                __Pyx_XDECREF_SET(__pyx_v_test_label_arr, __pyx_t_7);
                __pyx_t_7 = 0;
              }
              __pyx_L48:;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":529
 *                                 test_label_arr = test_batch_target_arr[:, -1]
 * 
 *                             self.__verificatable_result.verificate(             # <<<<<<<<<<<<<<
 *                                 self.__computable_loss,
 *                                 train_pred_arr=ver_pred_arr + train_weight_decay,
 */
              __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__verificatable_re); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 529, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_7);
              __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_verificate); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 529, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_23);
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":530
 * 
 *                             self.__verificatable_result.verificate(
 *                                 self.__computable_loss,             # <<<<<<<<<<<<<<
 *                                 train_pred_arr=ver_pred_arr + train_weight_decay,
 *                                 train_label_arr=train_label_arr,
 */
              __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 530, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_7);

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":529
 *                                 test_label_arr = test_batch_target_arr[:, -1]
 * 
 *                             self.__verificatable_result.verificate(             # <<<<<<<<<<<<<<
 *                                 self.__computable_loss,
 *                                 train_pred_arr=ver_pred_arr + train_weight_decay,
 */
              __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 529, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_2);
              __Pyx_GIVEREF(__pyx_t_7);
              PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_7);
              __pyx_t_7 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":531
 *                             self.__verificatable_result.verificate(
 *                                 self.__computable_loss,
 *                                 train_pred_arr=ver_pred_arr + train_weight_decay,             # <<<<<<<<<<<<<<
 *                                 train_label_arr=train_label_arr,
 *                                 test_pred_arr=test_pred_arr + test_weight_decay,
 */
              __pyx_t_7 = __Pyx_PyDict_NewPresized(6); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 531, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_7);
              __pyx_t_1 = PyNumber_Add(__pyx_v_ver_pred_arr, __pyx_v_train_weight_decay); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 531, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_1);
              if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_train_pred_arr, __pyx_t_1) < 0) __PYX_ERR(0, 531, __pyx_L9_error)
              __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":532
 *                                 self.__computable_loss,
 *                                 train_pred_arr=ver_pred_arr + train_weight_decay,
 *                                 train_label_arr=train_label_arr,             # <<<<<<<<<<<<<<
 *                                 test_pred_arr=test_pred_arr + test_weight_decay,
 *                                 test_label_arr=test_label_arr,
 */
              if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_train_label_arr, __pyx_v_train_label_arr) < 0) __PYX_ERR(0, 531, __pyx_L9_error)

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":533
 *                                 train_pred_arr=ver_pred_arr + train_weight_decay,
 *                                 train_label_arr=train_label_arr,
 *                                 test_pred_arr=test_pred_arr + test_weight_decay,             # <<<<<<<<<<<<<<
 *                                 test_label_arr=test_label_arr,
 *                                 train_penalty=train_weight_decay,
 */
              __pyx_t_1 = PyNumber_Add(((PyObject *)__pyx_v_test_pred_arr), __pyx_v_test_weight_decay); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 533, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_1);
              if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_test_pred_arr, __pyx_t_1) < 0) __PYX_ERR(0, 531, __pyx_L9_error)
              __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":534
 *                                 train_label_arr=train_label_arr,
 *                                 test_pred_arr=test_pred_arr + test_weight_decay,
 *                                 test_label_arr=test_label_arr,             # <<<<<<<<<<<<<<
 *                                 train_penalty=train_weight_decay,
 *                                 test_penalty=test_weight_decay
 */
              if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_test_label_arr, __pyx_v_test_label_arr) < 0) __PYX_ERR(0, 531, __pyx_L9_error)

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":535
 *                                 test_pred_arr=test_pred_arr + test_weight_decay,
 *                                 test_label_arr=test_label_arr,
 *                                 train_penalty=train_weight_decay,             # <<<<<<<<<<<<<<
 *                                 test_penalty=test_weight_decay
 *                             )
 */
              if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_train_penalty, __pyx_v_train_weight_decay) < 0) __PYX_ERR(0, 531, __pyx_L9_error)

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":536
 *                                 test_label_arr=test_label_arr,
 *                                 train_penalty=train_weight_decay,
 *                                 test_penalty=test_weight_decay             # <<<<<<<<<<<<<<
 *                             )
 * 
 */
              if (PyDict_SetItem(__pyx_t_7, __pyx_n_s_test_penalty, __pyx_v_test_weight_decay) < 0) __PYX_ERR(0, 531, __pyx_L9_error)

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":529
 *                                 test_label_arr = test_batch_target_arr[:, -1]
 * 
 *                             self.__verificatable_result.verificate(             # <<<<<<<<<<<<<<
 *                                 self.__computable_loss,
 *                                 train_pred_arr=ver_pred_arr + train_weight_decay,
 */
              __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_23, __pyx_t_2, __pyx_t_7); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 529, __pyx_L9_error)
              __Pyx_GOTREF(__pyx_t_1);
              __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
              __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
              __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
              __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":512
 *                     self.__opt_params.inferencing_mode = False
 *                     if self.__verificatable_result is not None:
 *                         if self.__test_size_rate > 0:             # <<<<<<<<<<<<<<
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1]:
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((
 */
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":511
 *                     self.__opt_params.dropout_rate = self.__dropout_rate
 *                     self.__opt_params.inferencing_mode = False
 *                     if self.__verificatable_result is not None:             # <<<<<<<<<<<<<<
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1]:
 */
          }

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":476
 *                         raise
 * 
 *                 if self.__test_size_rate > 0:             # <<<<<<<<<<<<<<
 *                     self.__opt_params.inferencing_mode = True
 *                     rand_index = np.random.choice(test_observed_arr.shape[0], size=self.__batch_size)
 */
        }

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":539
 *                             )
 * 
 *                 if epoch > 1 and abs(loss - loss_list[-1]) < self.__tol:             # <<<<<<<<<<<<<<
 *                     eary_stop_flag = True
 *                     break
 */
        __pyx_t_4 = ((__pyx_v_epoch > 1) != 0);
        if (__pyx_t_4) {
        } else {
          __pyx_t_26 = __pyx_t_4;
          goto __pyx_L50_bool_binop_done;
        }
        __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 539, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_1);
        __pyx_t_7 = __Pyx_GetItemInt_List(__pyx_v_loss_list, -1L, long, 1, __Pyx_PyInt_From_long, 1, 1, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 539, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_7);
        __pyx_t_2 = PyNumber_Subtract(__pyx_t_1, __pyx_t_7); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 539, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        __pyx_t_7 = __Pyx_PyNumber_Absolute(__pyx_t_2); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 539, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_7);
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
        __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__tol); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 539, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_2);
        __pyx_t_1 = PyObject_RichCompare(__pyx_t_7, __pyx_t_2, Py_LT); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 539, __pyx_L9_error)
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
        __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 539, __pyx_L9_error)
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
        __pyx_t_26 = __pyx_t_4;
        __pyx_L50_bool_binop_done:;
        if (__pyx_t_26) {

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":540
 * 
 *                 if epoch > 1 and abs(loss - loss_list[-1]) < self.__tol:
 *                     eary_stop_flag = True             # <<<<<<<<<<<<<<
 *                     break
 *                 loss_list.append(loss)
 */
          __pyx_v_eary_stop_flag = 1;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":541
 *                 if epoch > 1 and abs(loss - loss_list[-1]) < self.__tol:
 *                     eary_stop_flag = True
 *                     break             # <<<<<<<<<<<<<<
 *                 loss_list.append(loss)
 * 
 */
          goto __pyx_L16_break;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":539
 *                             )
 * 
 *                 if epoch > 1 and abs(loss - loss_list[-1]) < self.__tol:             # <<<<<<<<<<<<<<
 *                     eary_stop_flag = True
 *                     break
 */
        }

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":542
 *                     eary_stop_flag = True
 *                     break
 *                 loss_list.append(loss)             # <<<<<<<<<<<<<<
 * 
 *         except KeyboardInterrupt:
 */
        __pyx_t_1 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 542, __pyx_L9_error)
        __Pyx_GOTREF(__pyx_t_1);
        __pyx_t_29 = __Pyx_PyList_Append(__pyx_v_loss_list, __pyx_t_1); if (unlikely(__pyx_t_29 == ((int)-1))) __PYX_ERR(0, 542, __pyx_L9_error)
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      }
      __pyx_L16_break:;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":370
 * 
 *         best_params_list = []
 *         try:             # <<<<<<<<<<<<<<
 *             self.__opt_params.dropout_rate = self.__dropout_rate
 *             self.__opt_params.inferencing_mode = False
 */
    }
    __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0;
    __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
    __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0;
    goto __pyx_L14_try_end;
    __pyx_L9_error:;
    __Pyx_XDECREF(__pyx_t_22); __pyx_t_22 = 0;
    __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
    __Pyx_XDECREF(__pyx_t_27); __pyx_t_27 = 0;
    __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_XDECREF(__pyx_t_28); __pyx_t_28 = 0;
    __Pyx_XDECREF(__pyx_t_23); __pyx_t_23 = 0;
    __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":544
 *                 loss_list.append(loss)
 * 
 *         except KeyboardInterrupt:             # <<<<<<<<<<<<<<
 *             self.__logger.debug("Interrupt.")
 * 
 */
    __pyx_t_10 = __Pyx_PyErr_ExceptionMatches(__pyx_builtin_KeyboardInterrupt);
    if (__pyx_t_10) {
      __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.learn", __pyx_clineno, __pyx_lineno, __pyx_filename);
      if (__Pyx_GetException(&__pyx_t_1, &__pyx_t_2, &__pyx_t_7) < 0) __PYX_ERR(0, 544, __pyx_L11_except_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_GOTREF(__pyx_t_7);

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":545
 * 
 *         except KeyboardInterrupt:
 *             self.__logger.debug("Interrupt.")             # <<<<<<<<<<<<<<
 * 
 *         if eary_stop_flag is True:
 */
      __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__logger); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 545, __pyx_L11_except_error)
      __Pyx_GOTREF(__pyx_t_23);
      __pyx_t_28 = __Pyx_PyObject_GetAttrStr(__pyx_t_23, __pyx_n_s_debug); if (unlikely(!__pyx_t_28)) __PYX_ERR(0, 545, __pyx_L11_except_error)
      __Pyx_GOTREF(__pyx_t_28);
      __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
      __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_28, __pyx_tuple__54, NULL); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 545, __pyx_L11_except_error)
      __Pyx_GOTREF(__pyx_t_23);
      __Pyx_DECREF(__pyx_t_28); __pyx_t_28 = 0;
      __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      goto __pyx_L10_exception_handled;
    }
    goto __pyx_L11_except_error;
    __pyx_L11_except_error:;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":370
 * 
 *         best_params_list = []
 *         try:             # <<<<<<<<<<<<<<
 *             self.__opt_params.dropout_rate = self.__dropout_rate
 *             self.__opt_params.inferencing_mode = False
 */
    __Pyx_XGIVEREF(__pyx_t_13);
    __Pyx_XGIVEREF(__pyx_t_12);
    __Pyx_XGIVEREF(__pyx_t_11);
    __Pyx_ExceptionReset(__pyx_t_13, __pyx_t_12, __pyx_t_11);
    goto __pyx_L1_error;
    __pyx_L10_exception_handled:;
    __Pyx_XGIVEREF(__pyx_t_13);
    __Pyx_XGIVEREF(__pyx_t_12);
    __Pyx_XGIVEREF(__pyx_t_11);
    __Pyx_ExceptionReset(__pyx_t_13, __pyx_t_12, __pyx_t_11);
    __pyx_L14_try_end:;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":547
 *             self.__logger.debug("Interrupt.")
 * 
 *         if eary_stop_flag is True:             # <<<<<<<<<<<<<<
 *             self.__logger.debug("Eary stopping.")
 *             eary_stop_flag = False
 */
  __pyx_t_26 = ((__pyx_v_eary_stop_flag == 1) != 0);
  if (__pyx_t_26) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":548
 * 
 *         if eary_stop_flag is True:
 *             self.__logger.debug("Eary stopping.")             # <<<<<<<<<<<<<<
 *             eary_stop_flag = False
 * 
 */
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__logger); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 548, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_debug); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 548, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_tuple__55, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 548, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":549
 *         if eary_stop_flag is True:
 *             self.__logger.debug("Eary stopping.")
 *             eary_stop_flag = False             # <<<<<<<<<<<<<<
 * 
 *         self.__remember_best_params(best_params_list)
 */
    __pyx_v_eary_stop_flag = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":547
 *             self.__logger.debug("Interrupt.")
 * 
 *         if eary_stop_flag is True:             # <<<<<<<<<<<<<<
 *             self.__logger.debug("Eary stopping.")
 *             eary_stop_flag = False
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":551
 *             eary_stop_flag = False
 * 
 *         self.__remember_best_params(best_params_list)             # <<<<<<<<<<<<<<
 *         self.__opt_params.inferencing_mode = True
 *         self.__logger.debug("end. ")
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__remember_best_pa); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 551, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_1 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_1)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_1);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  if (!__pyx_t_1) {
    __pyx_t_7 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_v_best_params_list); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 551, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_v_best_params_list};
      __pyx_t_7 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 551, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_7);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_v_best_params_list};
      __pyx_t_7 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 551, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_7);
    } else
    #endif
    {
      __pyx_t_23 = PyTuple_New(1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 551, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_23);
      __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_23, 0, __pyx_t_1); __pyx_t_1 = NULL;
      __Pyx_INCREF(__pyx_v_best_params_list);
      __Pyx_GIVEREF(__pyx_v_best_params_list);
      PyTuple_SET_ITEM(__pyx_t_23, 0+1, __pyx_v_best_params_list);
      __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_23, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 551, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":552
 * 
 *         self.__remember_best_params(best_params_list)
 *         self.__opt_params.inferencing_mode = True             # <<<<<<<<<<<<<<
 *         self.__logger.debug("end. ")
 * 
 */
  __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 552, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_7, __pyx_n_s_inferencing_mode, Py_True) < 0) __PYX_ERR(0, 552, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":553
 *         self.__remember_best_params(best_params_list)
 *         self.__opt_params.inferencing_mode = True
 *         self.__logger.debug("end. ")             # <<<<<<<<<<<<<<
 * 
 *     def learn_generated(self, feature_generator):
 */
  __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__logger); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 553, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_debug); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 553, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_tuple__56, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 553, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":311
 *         self.__logger = logger
 * 
 *     def learn(self, np.ndarray[DOUBLE_t, ndim=5] observed_arr, np.ndarray target_arr=np.array([])):             # <<<<<<<<<<<<<<
 *         '''
 *         Learn the observed data points
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_XDECREF(__pyx_t_22);
  __Pyx_XDECREF(__pyx_t_23);
  __Pyx_XDECREF(__pyx_t_27);
  __Pyx_XDECREF(__pyx_t_28);
  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_observed_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer);
  __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.learn", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  goto __pyx_L2;
  __pyx_L0:;
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_observed_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_test_observed_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_train_observed_arr.rcbuffer->pybuffer);
  __pyx_L2:;
  __Pyx_XDECREF((PyObject *)__pyx_v_train_index);
  __Pyx_XDECREF((PyObject *)__pyx_v_test_index);
  __Pyx_XDECREF((PyObject *)__pyx_v_train_observed_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_train_target_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_test_observed_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_test_target_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_rand_index);
  __Pyx_XDECREF((PyObject *)__pyx_v_batch_observed_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_batch_target_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_pred_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_test_pred_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_arr);
  __Pyx_XDECREF(__pyx_v_best_params_list);
  __Pyx_XDECREF(__pyx_v_loss_list);
  __Pyx_XDECREF(__pyx_v_min_loss);
  __Pyx_XDECREF(__pyx_v_ver_pred_arr);
  __Pyx_XDECREF(__pyx_v_train_weight_decay);
  __Pyx_XDECREF(__pyx_v__delta_arr);
  __Pyx_XDECREF(__pyx_v_grads_list);
  __Pyx_XDECREF(__pyx_v_test_batch_observed_arr);
  __Pyx_XDECREF(__pyx_v_test_batch_target_arr);
  __Pyx_XDECREF(__pyx_v_test_weight_decay);
  __Pyx_XDECREF(__pyx_v_train_label_arr);
  __Pyx_XDECREF(__pyx_v_test_label_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_target_arr);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":555
 *         self.__logger.debug("end. ")
 * 
 *     def learn_generated(self, feature_generator):             # <<<<<<<<<<<<<<
 *         '''
 *         Learn features generated by `FeatureGenerator`.
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_9learn_generated(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_8learn_generated[] = "\n        Learn features generated by `FeatureGenerator`.\n        \n        Args:\n            feature_generator:    is-a `FeatureGenerator`.\n\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_9learn_generated = {"learn_generated", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_9learn_generated, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_8learn_generated};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_9learn_generated(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_feature_generator = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("learn_generated (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_feature_generator,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_feature_generator)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("learn_generated", 1, 2, 2, 1); __PYX_ERR(0, 555, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "learn_generated") < 0)) __PYX_ERR(0, 555, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_feature_generator = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("learn_generated", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 555, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.learn_generated", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_8learn_generated(__pyx_self, __pyx_v_self, __pyx_v_feature_generator);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_8learn_generated(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_feature_generator) {
  double __pyx_v_learning_rate;
  int __pyx_v_epoch;
  PyArrayObject *__pyx_v_batch_observed_arr = 0;
  PyArrayObject *__pyx_v_batch_target_arr = 0;
  double __pyx_v_loss;
  double __pyx_v_test_loss;
  PyArrayObject *__pyx_v_pred_arr = 0;
  PyArrayObject *__pyx_v_test_pred_arr = 0;
  PyArrayObject *__pyx_v_delta_arr = 0;
  PyObject *__pyx_v_best_params_list = NULL;
  PyObject *__pyx_v_loss_list = NULL;
  PyObject *__pyx_v_min_loss = NULL;
  int __pyx_v_eary_stop_flag;
  PyObject *__pyx_v_test_batch_observed_arr = NULL;
  PyObject *__pyx_v_test_batch_target_arr = NULL;
  PyObject *__pyx_v_ver_pred_arr = NULL;
  PyObject *__pyx_v_train_weight_decay = NULL;
  int __pyx_v_remember_flag;
  CYTHON_UNUSED PyObject *__pyx_v__delta_arr = NULL;
  PyObject *__pyx_v_grads_list = NULL;
  PyObject *__pyx_v_test_weight_decay = NULL;
  PyObject *__pyx_v_train_label_arr = NULL;
  PyObject *__pyx_v_test_label_arr = NULL;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_batch_observed_arr;
  __Pyx_Buffer __pyx_pybuffer_batch_observed_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_delta_arr;
  __Pyx_Buffer __pyx_pybuffer_delta_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_pred_arr;
  __Pyx_Buffer __pyx_pybuffer_pred_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_test_pred_arr;
  __Pyx_Buffer __pyx_pybuffer_test_pred_arr;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_t_2;
  int __pyx_t_3;
  double __pyx_t_4;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  PyObject *__pyx_t_9 = NULL;
  Py_ssize_t __pyx_t_10;
  PyObject *(*__pyx_t_11)(PyObject *);
  PyObject *__pyx_t_12 = NULL;
  PyObject *__pyx_t_13 = NULL;
  PyObject *__pyx_t_14 = NULL;
  PyObject *__pyx_t_15 = NULL;
  PyObject *(*__pyx_t_16)(PyObject *);
  PyArrayObject *__pyx_t_17 = NULL;
  int __pyx_t_18;
  PyObject *__pyx_t_19 = NULL;
  PyObject *__pyx_t_20 = NULL;
  PyObject *__pyx_t_21 = NULL;
  PyArrayObject *__pyx_t_22 = NULL;
  PyObject *__pyx_t_23 = NULL;
  PyObject *__pyx_t_24 = NULL;
  PyObject *__pyx_t_25 = NULL;
  PyObject *__pyx_t_26 = NULL;
  Py_ssize_t __pyx_t_27;
  PyArrayObject *__pyx_t_28 = NULL;
  int __pyx_t_29;
  PyObject *__pyx_t_30 = NULL;
  PyObject *__pyx_t_31 = NULL;
  PyArrayObject *__pyx_t_32 = NULL;
  int __pyx_t_33;
  __Pyx_RefNannySetupContext("learn_generated", 0);
  __pyx_pybuffer_batch_observed_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_batch_observed_arr.refcount = 0;
  __pyx_pybuffernd_batch_observed_arr.data = NULL;
  __pyx_pybuffernd_batch_observed_arr.rcbuffer = &__pyx_pybuffer_batch_observed_arr;
  __pyx_pybuffer_pred_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_pred_arr.refcount = 0;
  __pyx_pybuffernd_pred_arr.data = NULL;
  __pyx_pybuffernd_pred_arr.rcbuffer = &__pyx_pybuffer_pred_arr;
  __pyx_pybuffer_test_pred_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_test_pred_arr.refcount = 0;
  __pyx_pybuffernd_test_pred_arr.data = NULL;
  __pyx_pybuffernd_test_pred_arr.rcbuffer = &__pyx_pybuffer_test_pred_arr;
  __pyx_pybuffer_delta_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_delta_arr.refcount = 0;
  __pyx_pybuffernd_delta_arr.data = NULL;
  __pyx_pybuffernd_delta_arr.rcbuffer = &__pyx_pybuffer_delta_arr;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":563
 * 
 *         '''
 *         if isinstance(feature_generator, FeatureGenerator) is False:             # <<<<<<<<<<<<<<
 *             raise TypeError("The type of `feature_generator` must be `FeatureGenerator`.")
 * 
 */
  __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_FeatureGenerator); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 563, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyObject_IsInstance(__pyx_v_feature_generator, __pyx_t_1); if (unlikely(__pyx_t_2 == ((int)-1))) __PYX_ERR(0, 563, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_3 = ((__pyx_t_2 == 0) != 0);
  if (unlikely(__pyx_t_3)) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":564
 *         '''
 *         if isinstance(feature_generator, FeatureGenerator) is False:
 *             raise TypeError("The type of `feature_generator` must be `FeatureGenerator`.")             # <<<<<<<<<<<<<<
 * 
 *         cdef double learning_rate = self.__learning_rate
 */
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__57, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 564, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_Raise(__pyx_t_1, 0, 0, 0);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __PYX_ERR(0, 564, __pyx_L1_error)

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":563
 * 
 *         '''
 *         if isinstance(feature_generator, FeatureGenerator) is False:             # <<<<<<<<<<<<<<
 *             raise TypeError("The type of `feature_generator` must be `FeatureGenerator`.")
 * 
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":566
 *             raise TypeError("The type of `feature_generator` must be `FeatureGenerator`.")
 * 
 *         cdef double learning_rate = self.__learning_rate             # <<<<<<<<<<<<<<
 *         cdef int epoch
 *         cdef int batch_index
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__learning_rate); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 566, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_4 = __pyx_PyFloat_AsDouble(__pyx_t_1); if (unlikely((__pyx_t_4 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 566, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_v_learning_rate = __pyx_t_4;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":587
 *         cdef np.ndarray[DOUBLE_t, ndim=2] delta_arr
 * 
 *         best_params_list = []             # <<<<<<<<<<<<<<
 *         try:
 *             self.__memory_tuple_list = []
 */
  __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 587, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_v_best_params_list = ((PyObject*)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":588
 * 
 *         best_params_list = []
 *         try:             # <<<<<<<<<<<<<<
 *             self.__memory_tuple_list = []
 *             self.__opt_params.dropout_rate = self.__dropout_rate
 */
  {
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ExceptionSave(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7);
    __Pyx_XGOTREF(__pyx_t_5);
    __Pyx_XGOTREF(__pyx_t_6);
    __Pyx_XGOTREF(__pyx_t_7);
    /*try:*/ {

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":589
 *         best_params_list = []
 *         try:
 *             self.__memory_tuple_list = []             # <<<<<<<<<<<<<<
 *             self.__opt_params.dropout_rate = self.__dropout_rate
 *             self.__opt_params.inferencing_mode = False
 */
      __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 589, __pyx_L4_error)
      __Pyx_GOTREF(__pyx_t_1);
      if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__memory_tuple_lis, __pyx_t_1) < 0) __PYX_ERR(0, 589, __pyx_L4_error)
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":590
 *         try:
 *             self.__memory_tuple_list = []
 *             self.__opt_params.dropout_rate = self.__dropout_rate             # <<<<<<<<<<<<<<
 *             self.__opt_params.inferencing_mode = False
 *             loss_list = []
 */
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__dropout_rate); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 590, __pyx_L4_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 590, __pyx_L4_error)
      __Pyx_GOTREF(__pyx_t_8);
      if (__Pyx_PyObject_SetAttrStr(__pyx_t_8, __pyx_n_s_dropout_rate, __pyx_t_1) < 0) __PYX_ERR(0, 590, __pyx_L4_error)
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":591
 *             self.__memory_tuple_list = []
 *             self.__opt_params.dropout_rate = self.__dropout_rate
 *             self.__opt_params.inferencing_mode = False             # <<<<<<<<<<<<<<
 *             loss_list = []
 *             min_loss = None
 */
      __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 591, __pyx_L4_error)
      __Pyx_GOTREF(__pyx_t_8);
      if (__Pyx_PyObject_SetAttrStr(__pyx_t_8, __pyx_n_s_inferencing_mode, Py_False) < 0) __PYX_ERR(0, 591, __pyx_L4_error)
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":592
 *             self.__opt_params.dropout_rate = self.__dropout_rate
 *             self.__opt_params.inferencing_mode = False
 *             loss_list = []             # <<<<<<<<<<<<<<
 *             min_loss = None
 *             eary_stop_flag = False
 */
      __pyx_t_8 = PyList_New(0); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 592, __pyx_L4_error)
      __Pyx_GOTREF(__pyx_t_8);
      __pyx_v_loss_list = ((PyObject*)__pyx_t_8);
      __pyx_t_8 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":593
 *             self.__opt_params.inferencing_mode = False
 *             loss_list = []
 *             min_loss = None             # <<<<<<<<<<<<<<
 *             eary_stop_flag = False
 *             epoch = 0
 */
      __Pyx_INCREF(Py_None);
      __pyx_v_min_loss = Py_None;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":594
 *             loss_list = []
 *             min_loss = None
 *             eary_stop_flag = False             # <<<<<<<<<<<<<<
 *             epoch = 0
 *             for batch_observed_arr, batch_target_arr, test_batch_observed_arr, test_batch_target_arr in feature_generator.generate():
 */
      __pyx_v_eary_stop_flag = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":595
 *             min_loss = None
 *             eary_stop_flag = False
 *             epoch = 0             # <<<<<<<<<<<<<<
 *             for batch_observed_arr, batch_target_arr, test_batch_observed_arr, test_batch_target_arr in feature_generator.generate():
 *                 epoch += 1
 */
      __pyx_v_epoch = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":596
 *             eary_stop_flag = False
 *             epoch = 0
 *             for batch_observed_arr, batch_target_arr, test_batch_observed_arr, test_batch_target_arr in feature_generator.generate():             # <<<<<<<<<<<<<<
 *                 epoch += 1
 *                 self.__opt_params.dropout_rate = self.__dropout_rate
 */
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_feature_generator, __pyx_n_s_generate); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 596, __pyx_L4_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_9 = NULL;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) {
        __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_1);
        if (likely(__pyx_t_9)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1);
          __Pyx_INCREF(__pyx_t_9);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_1, function);
        }
      }
      if (__pyx_t_9) {
        __pyx_t_8 = __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_9); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 596, __pyx_L4_error)
        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      } else {
        __pyx_t_8 = __Pyx_PyObject_CallNoArg(__pyx_t_1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 596, __pyx_L4_error)
      }
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      if (likely(PyList_CheckExact(__pyx_t_8)) || PyTuple_CheckExact(__pyx_t_8)) {
        __pyx_t_1 = __pyx_t_8; __Pyx_INCREF(__pyx_t_1); __pyx_t_10 = 0;
        __pyx_t_11 = NULL;
      } else {
        __pyx_t_10 = -1; __pyx_t_1 = PyObject_GetIter(__pyx_t_8); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 596, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_1);
        __pyx_t_11 = Py_TYPE(__pyx_t_1)->tp_iternext; if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 596, __pyx_L4_error)
      }
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      for (;;) {
        if (likely(!__pyx_t_11)) {
          if (likely(PyList_CheckExact(__pyx_t_1))) {
            if (__pyx_t_10 >= PyList_GET_SIZE(__pyx_t_1)) break;
            #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
            __pyx_t_8 = PyList_GET_ITEM(__pyx_t_1, __pyx_t_10); __Pyx_INCREF(__pyx_t_8); __pyx_t_10++; if (unlikely(0 < 0)) __PYX_ERR(0, 596, __pyx_L4_error)
            #else
            __pyx_t_8 = PySequence_ITEM(__pyx_t_1, __pyx_t_10); __pyx_t_10++; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 596, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_8);
            #endif
          } else {
            if (__pyx_t_10 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
            #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
            __pyx_t_8 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_10); __Pyx_INCREF(__pyx_t_8); __pyx_t_10++; if (unlikely(0 < 0)) __PYX_ERR(0, 596, __pyx_L4_error)
            #else
            __pyx_t_8 = PySequence_ITEM(__pyx_t_1, __pyx_t_10); __pyx_t_10++; if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 596, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_8);
            #endif
          }
        } else {
          __pyx_t_8 = __pyx_t_11(__pyx_t_1);
          if (unlikely(!__pyx_t_8)) {
            PyObject* exc_type = PyErr_Occurred();
            if (exc_type) {
              if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) PyErr_Clear();
              else __PYX_ERR(0, 596, __pyx_L4_error)
            }
            break;
          }
          __Pyx_GOTREF(__pyx_t_8);
        }
        if ((likely(PyTuple_CheckExact(__pyx_t_8))) || (PyList_CheckExact(__pyx_t_8))) {
          PyObject* sequence = __pyx_t_8;
          Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
          if (unlikely(size != 4)) {
            if (size > 4) __Pyx_RaiseTooManyValuesError(4);
            else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
            __PYX_ERR(0, 596, __pyx_L4_error)
          }
          #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
          if (likely(PyTuple_CheckExact(sequence))) {
            __pyx_t_9 = PyTuple_GET_ITEM(sequence, 0); 
            __pyx_t_12 = PyTuple_GET_ITEM(sequence, 1); 
            __pyx_t_13 = PyTuple_GET_ITEM(sequence, 2); 
            __pyx_t_14 = PyTuple_GET_ITEM(sequence, 3); 
          } else {
            __pyx_t_9 = PyList_GET_ITEM(sequence, 0); 
            __pyx_t_12 = PyList_GET_ITEM(sequence, 1); 
            __pyx_t_13 = PyList_GET_ITEM(sequence, 2); 
            __pyx_t_14 = PyList_GET_ITEM(sequence, 3); 
          }
          __Pyx_INCREF(__pyx_t_9);
          __Pyx_INCREF(__pyx_t_12);
          __Pyx_INCREF(__pyx_t_13);
          __Pyx_INCREF(__pyx_t_14);
          #else
          {
            Py_ssize_t i;
            PyObject** temps[4] = {&__pyx_t_9,&__pyx_t_12,&__pyx_t_13,&__pyx_t_14};
            for (i=0; i < 4; i++) {
              PyObject* item = PySequence_ITEM(sequence, i); if (unlikely(!item)) __PYX_ERR(0, 596, __pyx_L4_error)
              __Pyx_GOTREF(item);
              *(temps[i]) = item;
            }
          }
          #endif
          __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        } else {
          Py_ssize_t index = -1;
          PyObject** temps[4] = {&__pyx_t_9,&__pyx_t_12,&__pyx_t_13,&__pyx_t_14};
          __pyx_t_15 = PyObject_GetIter(__pyx_t_8); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 596, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_15);
          __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
          __pyx_t_16 = Py_TYPE(__pyx_t_15)->tp_iternext;
          for (index=0; index < 4; index++) {
            PyObject* item = __pyx_t_16(__pyx_t_15); if (unlikely(!item)) goto __pyx_L12_unpacking_failed;
            __Pyx_GOTREF(item);
            *(temps[index]) = item;
          }
          if (__Pyx_IternextUnpackEndCheck(__pyx_t_16(__pyx_t_15), 4) < 0) __PYX_ERR(0, 596, __pyx_L4_error)
          __pyx_t_16 = NULL;
          __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
          goto __pyx_L13_unpacking_done;
          __pyx_L12_unpacking_failed:;
          __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
          __pyx_t_16 = NULL;
          if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
          __PYX_ERR(0, 596, __pyx_L4_error)
          __pyx_L13_unpacking_done:;
        }
        if (!(likely(((__pyx_t_9) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_9, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 596, __pyx_L4_error)
        if (!(likely(((__pyx_t_12) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_12, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 596, __pyx_L4_error)
        __pyx_t_17 = ((PyArrayObject *)__pyx_t_9);
        {
          __Pyx_BufFmt_StackElem __pyx_stack[1];
          __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer);
          __pyx_t_18 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_17, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack);
          if (unlikely(__pyx_t_18 < 0)) {
            PyErr_Fetch(&__pyx_t_19, &__pyx_t_20, &__pyx_t_21);
            if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_batch_observed_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) {
              Py_XDECREF(__pyx_t_19); Py_XDECREF(__pyx_t_20); Py_XDECREF(__pyx_t_21);
              __Pyx_RaiseBufferFallbackError();
            } else {
              PyErr_Restore(__pyx_t_19, __pyx_t_20, __pyx_t_21);
            }
            __pyx_t_19 = __pyx_t_20 = __pyx_t_21 = 0;
          }
          __pyx_pybuffernd_batch_observed_arr.diminfo[0].strides = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_batch_observed_arr.diminfo[0].shape = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_batch_observed_arr.diminfo[1].strides = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_batch_observed_arr.diminfo[1].shape = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_batch_observed_arr.diminfo[2].strides = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_batch_observed_arr.diminfo[2].shape = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_batch_observed_arr.diminfo[3].strides = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_batch_observed_arr.diminfo[3].shape = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_batch_observed_arr.diminfo[4].strides = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_batch_observed_arr.diminfo[4].shape = __pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer.shape[4];
          if (unlikely(__pyx_t_18 < 0)) __PYX_ERR(0, 596, __pyx_L4_error)
        }
        __pyx_t_17 = 0;
        __Pyx_XDECREF_SET(__pyx_v_batch_observed_arr, ((PyArrayObject *)__pyx_t_9));
        __pyx_t_9 = 0;
        __Pyx_XDECREF_SET(__pyx_v_batch_target_arr, ((PyArrayObject *)__pyx_t_12));
        __pyx_t_12 = 0;
        __Pyx_XDECREF_SET(__pyx_v_test_batch_observed_arr, __pyx_t_13);
        __pyx_t_13 = 0;
        __Pyx_XDECREF_SET(__pyx_v_test_batch_target_arr, __pyx_t_14);
        __pyx_t_14 = 0;

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":597
 *             epoch = 0
 *             for batch_observed_arr, batch_target_arr, test_batch_observed_arr, test_batch_target_arr in feature_generator.generate():
 *                 epoch += 1             # <<<<<<<<<<<<<<
 *                 self.__opt_params.dropout_rate = self.__dropout_rate
 *                 self.__opt_params.inferencing_mode = False
 */
        __pyx_v_epoch = (__pyx_v_epoch + 1);

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":598
 *             for batch_observed_arr, batch_target_arr, test_batch_observed_arr, test_batch_target_arr in feature_generator.generate():
 *                 epoch += 1
 *                 self.__opt_params.dropout_rate = self.__dropout_rate             # <<<<<<<<<<<<<<
 *                 self.__opt_params.inferencing_mode = False
 * 
 */
        __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__dropout_rate); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 598, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_8);
        __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 598, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_14);
        if (__Pyx_PyObject_SetAttrStr(__pyx_t_14, __pyx_n_s_dropout_rate, __pyx_t_8) < 0) __PYX_ERR(0, 598, __pyx_L4_error)
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":599
 *                 epoch += 1
 *                 self.__opt_params.dropout_rate = self.__dropout_rate
 *                 self.__opt_params.inferencing_mode = False             # <<<<<<<<<<<<<<
 * 
 *                 if ((epoch + 1) % self.__attenuate_epoch == 0):
 */
        __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 599, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_14);
        if (__Pyx_PyObject_SetAttrStr(__pyx_t_14, __pyx_n_s_inferencing_mode, Py_False) < 0) __PYX_ERR(0, 599, __pyx_L4_error)
        __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":601
 *                 self.__opt_params.inferencing_mode = False
 * 
 *                 if ((epoch + 1) % self.__attenuate_epoch == 0):             # <<<<<<<<<<<<<<
 *                     learning_rate = learning_rate * self.__learning_attenuate_rate
 * 
 */
        __pyx_t_14 = __Pyx_PyInt_From_long((__pyx_v_epoch + 1)); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 601, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_14);
        __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__attenuate_epoch); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 601, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_8);
        __pyx_t_13 = PyNumber_Remainder(__pyx_t_14, __pyx_t_8); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 601, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_13);
        __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        __pyx_t_8 = __Pyx_PyInt_EqObjC(__pyx_t_13, __pyx_int_0, 0, 0); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 601, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_8);
        __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
        __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 601, __pyx_L4_error)
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        if (__pyx_t_3) {

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":602
 * 
 *                 if ((epoch + 1) % self.__attenuate_epoch == 0):
 *                     learning_rate = learning_rate * self.__learning_attenuate_rate             # <<<<<<<<<<<<<<
 * 
 *                 try:
 */
          __pyx_t_8 = PyFloat_FromDouble(__pyx_v_learning_rate); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 602, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_8);
          __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__learning_attenua); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 602, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_13);
          __pyx_t_14 = PyNumber_Multiply(__pyx_t_8, __pyx_t_13); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 602, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_14);
          __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
          __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
          __pyx_t_4 = __pyx_PyFloat_AsDouble(__pyx_t_14); if (unlikely((__pyx_t_4 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 602, __pyx_L4_error)
          __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
          __pyx_v_learning_rate = __pyx_t_4;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":601
 *                 self.__opt_params.inferencing_mode = False
 * 
 *                 if ((epoch + 1) % self.__attenuate_epoch == 0):             # <<<<<<<<<<<<<<
 *                     learning_rate = learning_rate * self.__learning_attenuate_rate
 * 
 */
        }

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":604
 *                     learning_rate = learning_rate * self.__learning_attenuate_rate
 * 
 *                 try:             # <<<<<<<<<<<<<<
 *                     pred_arr = self.forward_propagation(batch_observed_arr)
 *                     ver_pred_arr = pred_arr.copy()
 */
        {
          __Pyx_PyThreadState_declare
          __Pyx_PyThreadState_assign
          __Pyx_ExceptionSave(&__pyx_t_21, &__pyx_t_20, &__pyx_t_19);
          __Pyx_XGOTREF(__pyx_t_21);
          __Pyx_XGOTREF(__pyx_t_20);
          __Pyx_XGOTREF(__pyx_t_19);
          /*try:*/ {

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":605
 * 
 *                 try:
 *                     pred_arr = self.forward_propagation(batch_observed_arr)             # <<<<<<<<<<<<<<
 *                     ver_pred_arr = pred_arr.copy()
 *                     train_weight_decay = self.weight_decay_term
 */
            __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_forward_propagation); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 605, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_13);
            __pyx_t_8 = NULL;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) {
              __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_13);
              if (likely(__pyx_t_8)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13);
                __Pyx_INCREF(__pyx_t_8);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_13, function);
              }
            }
            if (!__pyx_t_8) {
              __pyx_t_14 = __Pyx_PyObject_CallOneArg(__pyx_t_13, ((PyObject *)__pyx_v_batch_observed_arr)); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 605, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_14);
            } else {
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_13)) {
                PyObject *__pyx_temp[2] = {__pyx_t_8, ((PyObject *)__pyx_v_batch_observed_arr)};
                __pyx_t_14 = __Pyx_PyFunction_FastCall(__pyx_t_13, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 605, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                __Pyx_GOTREF(__pyx_t_14);
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_13)) {
                PyObject *__pyx_temp[2] = {__pyx_t_8, ((PyObject *)__pyx_v_batch_observed_arr)};
                __pyx_t_14 = __Pyx_PyCFunction_FastCall(__pyx_t_13, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 605, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                __Pyx_GOTREF(__pyx_t_14);
              } else
              #endif
              {
                __pyx_t_12 = PyTuple_New(1+1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 605, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_12);
                __Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_8); __pyx_t_8 = NULL;
                __Pyx_INCREF(((PyObject *)__pyx_v_batch_observed_arr));
                __Pyx_GIVEREF(((PyObject *)__pyx_v_batch_observed_arr));
                PyTuple_SET_ITEM(__pyx_t_12, 0+1, ((PyObject *)__pyx_v_batch_observed_arr));
                __pyx_t_14 = __Pyx_PyObject_Call(__pyx_t_13, __pyx_t_12, NULL); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 605, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_14);
                __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
              }
            }
            __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
            if (!(likely(((__pyx_t_14) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_14, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 605, __pyx_L15_error)
            __pyx_t_22 = ((PyArrayObject *)__pyx_t_14);
            {
              __Pyx_BufFmt_StackElem __pyx_stack[1];
              __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer);
              __pyx_t_18 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_22, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack);
              if (unlikely(__pyx_t_18 < 0)) {
                PyErr_Fetch(&__pyx_t_23, &__pyx_t_24, &__pyx_t_25);
                if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_pred_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) {
                  Py_XDECREF(__pyx_t_23); Py_XDECREF(__pyx_t_24); Py_XDECREF(__pyx_t_25);
                  __Pyx_RaiseBufferFallbackError();
                } else {
                  PyErr_Restore(__pyx_t_23, __pyx_t_24, __pyx_t_25);
                }
                __pyx_t_23 = __pyx_t_24 = __pyx_t_25 = 0;
              }
              __pyx_pybuffernd_pred_arr.diminfo[0].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_pred_arr.diminfo[0].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_pred_arr.diminfo[1].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_pred_arr.diminfo[1].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[1];
              if (unlikely(__pyx_t_18 < 0)) __PYX_ERR(0, 605, __pyx_L15_error)
            }
            __pyx_t_22 = 0;
            __Pyx_XDECREF_SET(__pyx_v_pred_arr, ((PyArrayObject *)__pyx_t_14));
            __pyx_t_14 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":606
 *                 try:
 *                     pred_arr = self.forward_propagation(batch_observed_arr)
 *                     ver_pred_arr = pred_arr.copy()             # <<<<<<<<<<<<<<
 *                     train_weight_decay = self.weight_decay_term
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 */
            __pyx_t_13 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_pred_arr), __pyx_n_s_copy); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 606, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_13);
            __pyx_t_12 = NULL;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) {
              __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_13);
              if (likely(__pyx_t_12)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13);
                __Pyx_INCREF(__pyx_t_12);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_13, function);
              }
            }
            if (__pyx_t_12) {
              __pyx_t_14 = __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_12); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 606, __pyx_L15_error)
              __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
            } else {
              __pyx_t_14 = __Pyx_PyObject_CallNoArg(__pyx_t_13); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 606, __pyx_L15_error)
            }
            __Pyx_GOTREF(__pyx_t_14);
            __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
            __Pyx_XDECREF_SET(__pyx_v_ver_pred_arr, __pyx_t_14);
            __pyx_t_14 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":607
 *                     pred_arr = self.forward_propagation(batch_observed_arr)
 *                     ver_pred_arr = pred_arr.copy()
 *                     train_weight_decay = self.weight_decay_term             # <<<<<<<<<<<<<<
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                         loss = self.__computable_loss.compute_loss(
 */
            __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 607, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_14);
            __Pyx_XDECREF_SET(__pyx_v_train_weight_decay, __pyx_t_14);
            __pyx_t_14 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":608
 *                     ver_pred_arr = pred_arr.copy()
 *                     train_weight_decay = self.weight_decay_term
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 */
            __pyx_t_14 = __Pyx_PyInt_From_int(__pyx_v_pred_arr->nd); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 608, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_14);
            __pyx_t_13 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__59); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 608, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_13);
            __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_ndim); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 608, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_12);
            __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
            __pyx_t_13 = PyObject_RichCompare(__pyx_t_14, __pyx_t_12, Py_EQ); __Pyx_XGOTREF(__pyx_t_13); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 608, __pyx_L15_error)
            __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
            __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
            __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_13); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 608, __pyx_L15_error)
            __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
            if (__pyx_t_3) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":609
 *                     train_weight_decay = self.weight_decay_term
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                         loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1]
 */
              __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 609, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_12);
              __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_compute_loss); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 609, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_14);
              __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":611
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 *                             batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                         )
 *                     else:
 */
              __pyx_t_12 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__61); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 611, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_12);
              __pyx_t_8 = NULL;
              __pyx_t_18 = 0;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_14))) {
                __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_14);
                if (likely(__pyx_t_8)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_14);
                  __Pyx_INCREF(__pyx_t_8);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_14, function);
                  __pyx_t_18 = 1;
                }
              }
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_14)) {
                PyObject *__pyx_temp[3] = {__pyx_t_8, ((PyObject *)__pyx_v_pred_arr), __pyx_t_12};
                __pyx_t_13 = __Pyx_PyFunction_FastCall(__pyx_t_14, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 609, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                __Pyx_GOTREF(__pyx_t_13);
                __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_14)) {
                PyObject *__pyx_temp[3] = {__pyx_t_8, ((PyObject *)__pyx_v_pred_arr), __pyx_t_12};
                __pyx_t_13 = __Pyx_PyCFunction_FastCall(__pyx_t_14, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 609, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                __Pyx_GOTREF(__pyx_t_13);
                __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
              } else
              #endif
              {
                __pyx_t_9 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 609, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_9);
                if (__pyx_t_8) {
                  __Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_8); __pyx_t_8 = NULL;
                }
                __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
                PyTuple_SET_ITEM(__pyx_t_9, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(__pyx_t_12);
                PyTuple_SET_ITEM(__pyx_t_9, 1+__pyx_t_18, __pyx_t_12);
                __pyx_t_12 = 0;
                __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_14, __pyx_t_9, NULL); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 609, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_13);
                __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
              }
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":609
 *                     train_weight_decay = self.weight_decay_term
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                         loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1]
 */
              __pyx_t_4 = __pyx_PyFloat_AsDouble(__pyx_t_13); if (unlikely((__pyx_t_4 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 609, __pyx_L15_error)
              __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
              __pyx_v_loss = __pyx_t_4;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":608
 *                     ver_pred_arr = pred_arr.copy()
 *                     train_weight_decay = self.weight_decay_term
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 */
              goto __pyx_L23;
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":614
 *                         )
 *                     else:
 *                         loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 */
            /*else*/ {
              __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 614, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_14);
              __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_compute_loss); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 614, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_9);
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":616
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                 batch_target_arr[:, -1].shape[0],
 *                                 -1
 */
              __pyx_t_12 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__63); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 616, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_12);
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_reshape); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 616, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_8);
              __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":617
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 *                                 batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                 -1
 *                             ))
 */
              __pyx_t_12 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__65); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 617, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_12);
              __pyx_t_15 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_shape); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 617, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_15);
              __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
              __pyx_t_12 = __Pyx_GetItemInt(__pyx_t_15, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 617, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_12);
              __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
              __pyx_t_15 = PyTuple_New(2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 617, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_15);
              __Pyx_GIVEREF(__pyx_t_12);
              PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_12);
              __Pyx_INCREF(__pyx_int_neg_1);
              __Pyx_GIVEREF(__pyx_int_neg_1);
              PyTuple_SET_ITEM(__pyx_t_15, 1, __pyx_int_neg_1);
              __pyx_t_12 = 0;
              __pyx_t_12 = NULL;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
                __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_8);
                if (likely(__pyx_t_12)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
                  __Pyx_INCREF(__pyx_t_12);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_8, function);
                }
              }
              if (!__pyx_t_12) {
                __pyx_t_14 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_15); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 616, __pyx_L15_error)
                __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
                __Pyx_GOTREF(__pyx_t_14);
              } else {
                #if CYTHON_FAST_PYCALL
                if (PyFunction_Check(__pyx_t_8)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_12, __pyx_t_15};
                  __pyx_t_14 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 616, __pyx_L15_error)
                  __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
                  __Pyx_GOTREF(__pyx_t_14);
                  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
                } else
                #endif
                #if CYTHON_FAST_PYCCALL
                if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_12, __pyx_t_15};
                  __pyx_t_14 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 616, __pyx_L15_error)
                  __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
                  __Pyx_GOTREF(__pyx_t_14);
                  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
                } else
                #endif
                {
                  __pyx_t_26 = PyTuple_New(1+1); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 616, __pyx_L15_error)
                  __Pyx_GOTREF(__pyx_t_26);
                  __Pyx_GIVEREF(__pyx_t_12); PyTuple_SET_ITEM(__pyx_t_26, 0, __pyx_t_12); __pyx_t_12 = NULL;
                  __Pyx_GIVEREF(__pyx_t_15);
                  PyTuple_SET_ITEM(__pyx_t_26, 0+1, __pyx_t_15);
                  __pyx_t_15 = 0;
                  __pyx_t_14 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_26, NULL); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 616, __pyx_L15_error)
                  __Pyx_GOTREF(__pyx_t_14);
                  __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
                }
              }
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __pyx_t_8 = NULL;
              __pyx_t_18 = 0;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) {
                __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_9);
                if (likely(__pyx_t_8)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
                  __Pyx_INCREF(__pyx_t_8);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_9, function);
                  __pyx_t_18 = 1;
                }
              }
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_9)) {
                PyObject *__pyx_temp[3] = {__pyx_t_8, ((PyObject *)__pyx_v_pred_arr), __pyx_t_14};
                __pyx_t_13 = __Pyx_PyFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 614, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                __Pyx_GOTREF(__pyx_t_13);
                __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_9)) {
                PyObject *__pyx_temp[3] = {__pyx_t_8, ((PyObject *)__pyx_v_pred_arr), __pyx_t_14};
                __pyx_t_13 = __Pyx_PyCFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 614, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                __Pyx_GOTREF(__pyx_t_13);
                __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              } else
              #endif
              {
                __pyx_t_26 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 614, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_26);
                if (__pyx_t_8) {
                  __Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_26, 0, __pyx_t_8); __pyx_t_8 = NULL;
                }
                __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
                PyTuple_SET_ITEM(__pyx_t_26, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(__pyx_t_14);
                PyTuple_SET_ITEM(__pyx_t_26, 1+__pyx_t_18, __pyx_t_14);
                __pyx_t_14 = 0;
                __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_9, __pyx_t_26, NULL); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 614, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_13);
                __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              }
              __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":614
 *                         )
 *                     else:
 *                         loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 */
              __pyx_t_4 = __pyx_PyFloat_AsDouble(__pyx_t_13); if (unlikely((__pyx_t_4 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 614, __pyx_L15_error)
              __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
              __pyx_v_loss = __pyx_t_4;
            }
            __pyx_L23:;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":621
 *                             ))
 *                         )
 *                     loss = loss + train_weight_decay             # <<<<<<<<<<<<<<
 * 
 *                     remember_flag = False
 */
            __pyx_t_13 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 621, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_13);
            __pyx_t_9 = PyNumber_Add(__pyx_t_13, __pyx_v_train_weight_decay); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 621, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_9);
            __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
            __pyx_t_4 = __pyx_PyFloat_AsDouble(__pyx_t_9); if (unlikely((__pyx_t_4 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 621, __pyx_L15_error)
            __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
            __pyx_v_loss = __pyx_t_4;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":623
 *                     loss = loss + train_weight_decay
 * 
 *                     remember_flag = False             # <<<<<<<<<<<<<<
 *                     if len(loss_list) > 0:
 *                         if abs(loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 */
            __pyx_v_remember_flag = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":624
 * 
 *                     remember_flag = False
 *                     if len(loss_list) > 0:             # <<<<<<<<<<<<<<
 *                         if abs(loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 *                             remember_flag = True
 */
            __pyx_t_27 = PyList_GET_SIZE(__pyx_v_loss_list); if (unlikely(__pyx_t_27 == ((Py_ssize_t)-1))) __PYX_ERR(0, 624, __pyx_L15_error)
            __pyx_t_3 = ((__pyx_t_27 > 0) != 0);
            if (__pyx_t_3) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":625
 *                     remember_flag = False
 *                     if len(loss_list) > 0:
 *                         if abs(loss - (sum(loss_list)/len(loss_list))) > self.__tld:             # <<<<<<<<<<<<<<
 *                             remember_flag = True
 * 
 */
              __pyx_t_9 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 625, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_9);
              __pyx_t_13 = __Pyx_PyObject_CallOneArg(__pyx_builtin_sum, __pyx_v_loss_list); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 625, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_13);
              __pyx_t_27 = PyList_GET_SIZE(__pyx_v_loss_list); if (unlikely(__pyx_t_27 == ((Py_ssize_t)-1))) __PYX_ERR(0, 625, __pyx_L15_error)
              __pyx_t_26 = PyInt_FromSsize_t(__pyx_t_27); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 625, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_26);
              __pyx_t_14 = __Pyx_PyNumber_Divide(__pyx_t_13, __pyx_t_26); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 625, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_14);
              __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              __pyx_t_26 = PyNumber_Subtract(__pyx_t_9, __pyx_t_14); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 625, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_26);
              __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              __pyx_t_14 = __Pyx_PyNumber_Absolute(__pyx_t_26); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 625, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_14);
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              __pyx_t_26 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__tld); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 625, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_26);
              __pyx_t_9 = PyObject_RichCompare(__pyx_t_14, __pyx_t_26, Py_GT); __Pyx_XGOTREF(__pyx_t_9); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 625, __pyx_L15_error)
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_9); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 625, __pyx_L15_error)
              __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
              if (__pyx_t_3) {

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":626
 *                     if len(loss_list) > 0:
 *                         if abs(loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 *                             remember_flag = True             # <<<<<<<<<<<<<<
 * 
 *                     if remember_flag is True:
 */
                __pyx_v_remember_flag = 1;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":625
 *                     remember_flag = False
 *                     if len(loss_list) > 0:
 *                         if abs(loss - (sum(loss_list)/len(loss_list))) > self.__tld:             # <<<<<<<<<<<<<<
 *                             remember_flag = True
 * 
 */
              }

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":624
 * 
 *                     remember_flag = False
 *                     if len(loss_list) > 0:             # <<<<<<<<<<<<<<
 *                         if abs(loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 *                             remember_flag = True
 */
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":628
 *                             remember_flag = True
 * 
 *                     if remember_flag is True:             # <<<<<<<<<<<<<<
 *                         self.__remember_best_params(best_params_list)
 *                         # Re-try.
 */
            __pyx_t_3 = ((__pyx_v_remember_flag == 1) != 0);
            if (__pyx_t_3) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":629
 * 
 *                     if remember_flag is True:
 *                         self.__remember_best_params(best_params_list)             # <<<<<<<<<<<<<<
 *                         # Re-try.
 *                         pred_arr = self.forward_propagation(batch_observed_arr)
 */
              __pyx_t_26 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__remember_best_pa); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 629, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_26);
              __pyx_t_14 = NULL;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_26))) {
                __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_26);
                if (likely(__pyx_t_14)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_26);
                  __Pyx_INCREF(__pyx_t_14);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_26, function);
                }
              }
              if (!__pyx_t_14) {
                __pyx_t_9 = __Pyx_PyObject_CallOneArg(__pyx_t_26, __pyx_v_best_params_list); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 629, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_9);
              } else {
                #if CYTHON_FAST_PYCALL
                if (PyFunction_Check(__pyx_t_26)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_14, __pyx_v_best_params_list};
                  __pyx_t_9 = __Pyx_PyFunction_FastCall(__pyx_t_26, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 629, __pyx_L15_error)
                  __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
                  __Pyx_GOTREF(__pyx_t_9);
                } else
                #endif
                #if CYTHON_FAST_PYCCALL
                if (__Pyx_PyFastCFunction_Check(__pyx_t_26)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_14, __pyx_v_best_params_list};
                  __pyx_t_9 = __Pyx_PyCFunction_FastCall(__pyx_t_26, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 629, __pyx_L15_error)
                  __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
                  __Pyx_GOTREF(__pyx_t_9);
                } else
                #endif
                {
                  __pyx_t_13 = PyTuple_New(1+1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 629, __pyx_L15_error)
                  __Pyx_GOTREF(__pyx_t_13);
                  __Pyx_GIVEREF(__pyx_t_14); PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_t_14); __pyx_t_14 = NULL;
                  __Pyx_INCREF(__pyx_v_best_params_list);
                  __Pyx_GIVEREF(__pyx_v_best_params_list);
                  PyTuple_SET_ITEM(__pyx_t_13, 0+1, __pyx_v_best_params_list);
                  __pyx_t_9 = __Pyx_PyObject_Call(__pyx_t_26, __pyx_t_13, NULL); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 629, __pyx_L15_error)
                  __Pyx_GOTREF(__pyx_t_9);
                  __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
                }
              }
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":631
 *                         self.__remember_best_params(best_params_list)
 *                         # Re-try.
 *                         pred_arr = self.forward_propagation(batch_observed_arr)             # <<<<<<<<<<<<<<
 *                         ver_pred_arr = pred_arr.copy()
 *                         train_weight_decay = self.weight_decay_term
 */
              __pyx_t_26 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_forward_propagation); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 631, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_26);
              __pyx_t_13 = NULL;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_26))) {
                __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_26);
                if (likely(__pyx_t_13)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_26);
                  __Pyx_INCREF(__pyx_t_13);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_26, function);
                }
              }
              if (!__pyx_t_13) {
                __pyx_t_9 = __Pyx_PyObject_CallOneArg(__pyx_t_26, ((PyObject *)__pyx_v_batch_observed_arr)); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 631, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_9);
              } else {
                #if CYTHON_FAST_PYCALL
                if (PyFunction_Check(__pyx_t_26)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_13, ((PyObject *)__pyx_v_batch_observed_arr)};
                  __pyx_t_9 = __Pyx_PyFunction_FastCall(__pyx_t_26, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 631, __pyx_L15_error)
                  __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0;
                  __Pyx_GOTREF(__pyx_t_9);
                } else
                #endif
                #if CYTHON_FAST_PYCCALL
                if (__Pyx_PyFastCFunction_Check(__pyx_t_26)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_13, ((PyObject *)__pyx_v_batch_observed_arr)};
                  __pyx_t_9 = __Pyx_PyCFunction_FastCall(__pyx_t_26, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 631, __pyx_L15_error)
                  __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0;
                  __Pyx_GOTREF(__pyx_t_9);
                } else
                #endif
                {
                  __pyx_t_14 = PyTuple_New(1+1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 631, __pyx_L15_error)
                  __Pyx_GOTREF(__pyx_t_14);
                  __Pyx_GIVEREF(__pyx_t_13); PyTuple_SET_ITEM(__pyx_t_14, 0, __pyx_t_13); __pyx_t_13 = NULL;
                  __Pyx_INCREF(((PyObject *)__pyx_v_batch_observed_arr));
                  __Pyx_GIVEREF(((PyObject *)__pyx_v_batch_observed_arr));
                  PyTuple_SET_ITEM(__pyx_t_14, 0+1, ((PyObject *)__pyx_v_batch_observed_arr));
                  __pyx_t_9 = __Pyx_PyObject_Call(__pyx_t_26, __pyx_t_14, NULL); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 631, __pyx_L15_error)
                  __Pyx_GOTREF(__pyx_t_9);
                  __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
                }
              }
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              if (!(likely(((__pyx_t_9) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_9, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 631, __pyx_L15_error)
              __pyx_t_22 = ((PyArrayObject *)__pyx_t_9);
              {
                __Pyx_BufFmt_StackElem __pyx_stack[1];
                __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer);
                __pyx_t_18 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_22, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack);
                if (unlikely(__pyx_t_18 < 0)) {
                  PyErr_Fetch(&__pyx_t_25, &__pyx_t_24, &__pyx_t_23);
                  if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_pred_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) {
                    Py_XDECREF(__pyx_t_25); Py_XDECREF(__pyx_t_24); Py_XDECREF(__pyx_t_23);
                    __Pyx_RaiseBufferFallbackError();
                  } else {
                    PyErr_Restore(__pyx_t_25, __pyx_t_24, __pyx_t_23);
                  }
                  __pyx_t_25 = __pyx_t_24 = __pyx_t_23 = 0;
                }
                __pyx_pybuffernd_pred_arr.diminfo[0].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_pred_arr.diminfo[0].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_pred_arr.diminfo[1].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_pred_arr.diminfo[1].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[1];
                if (unlikely(__pyx_t_18 < 0)) __PYX_ERR(0, 631, __pyx_L15_error)
              }
              __pyx_t_22 = 0;
              __Pyx_DECREF_SET(__pyx_v_pred_arr, ((PyArrayObject *)__pyx_t_9));
              __pyx_t_9 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":632
 *                         # Re-try.
 *                         pred_arr = self.forward_propagation(batch_observed_arr)
 *                         ver_pred_arr = pred_arr.copy()             # <<<<<<<<<<<<<<
 *                         train_weight_decay = self.weight_decay_term
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 */
              __pyx_t_26 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_pred_arr), __pyx_n_s_copy); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 632, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_26);
              __pyx_t_14 = NULL;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_26))) {
                __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_26);
                if (likely(__pyx_t_14)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_26);
                  __Pyx_INCREF(__pyx_t_14);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_26, function);
                }
              }
              if (__pyx_t_14) {
                __pyx_t_9 = __Pyx_PyObject_CallOneArg(__pyx_t_26, __pyx_t_14); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 632, __pyx_L15_error)
                __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              } else {
                __pyx_t_9 = __Pyx_PyObject_CallNoArg(__pyx_t_26); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 632, __pyx_L15_error)
              }
              __Pyx_GOTREF(__pyx_t_9);
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              __Pyx_DECREF_SET(__pyx_v_ver_pred_arr, __pyx_t_9);
              __pyx_t_9 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":633
 *                         pred_arr = self.forward_propagation(batch_observed_arr)
 *                         ver_pred_arr = pred_arr.copy()
 *                         train_weight_decay = self.weight_decay_term             # <<<<<<<<<<<<<<
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                             loss = self.__computable_loss.compute_loss(
 */
              __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 633, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_9);
              __Pyx_DECREF_SET(__pyx_v_train_weight_decay, __pyx_t_9);
              __pyx_t_9 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":634
 *                         ver_pred_arr = pred_arr.copy()
 *                         train_weight_decay = self.weight_decay_term
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 */
              __pyx_t_9 = __Pyx_PyInt_From_int(__pyx_v_pred_arr->nd); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 634, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_9);
              __pyx_t_26 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__67); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 634, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_26);
              __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_26, __pyx_n_s_ndim); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 634, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_14);
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              __pyx_t_26 = PyObject_RichCompare(__pyx_t_9, __pyx_t_14, Py_EQ); __Pyx_XGOTREF(__pyx_t_26); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 634, __pyx_L15_error)
              __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_26); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 634, __pyx_L15_error)
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              if (__pyx_t_3) {

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":635
 *                         train_weight_decay = self.weight_decay_term
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                             loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1]
 */
                __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 635, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_14);
                __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_compute_loss); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 635, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_9);
                __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":637
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                             )
 *                         else:
 */
                __pyx_t_14 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__69); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 637, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_14);
                __pyx_t_13 = NULL;
                __pyx_t_18 = 0;
                if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) {
                  __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_9);
                  if (likely(__pyx_t_13)) {
                    PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
                    __Pyx_INCREF(__pyx_t_13);
                    __Pyx_INCREF(function);
                    __Pyx_DECREF_SET(__pyx_t_9, function);
                    __pyx_t_18 = 1;
                  }
                }
                #if CYTHON_FAST_PYCALL
                if (PyFunction_Check(__pyx_t_9)) {
                  PyObject *__pyx_temp[3] = {__pyx_t_13, ((PyObject *)__pyx_v_pred_arr), __pyx_t_14};
                  __pyx_t_26 = __Pyx_PyFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 635, __pyx_L15_error)
                  __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0;
                  __Pyx_GOTREF(__pyx_t_26);
                  __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
                } else
                #endif
                #if CYTHON_FAST_PYCCALL
                if (__Pyx_PyFastCFunction_Check(__pyx_t_9)) {
                  PyObject *__pyx_temp[3] = {__pyx_t_13, ((PyObject *)__pyx_v_pred_arr), __pyx_t_14};
                  __pyx_t_26 = __Pyx_PyCFunction_FastCall(__pyx_t_9, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 635, __pyx_L15_error)
                  __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0;
                  __Pyx_GOTREF(__pyx_t_26);
                  __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
                } else
                #endif
                {
                  __pyx_t_8 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 635, __pyx_L15_error)
                  __Pyx_GOTREF(__pyx_t_8);
                  if (__pyx_t_13) {
                    __Pyx_GIVEREF(__pyx_t_13); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_13); __pyx_t_13 = NULL;
                  }
                  __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
                  __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
                  PyTuple_SET_ITEM(__pyx_t_8, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
                  __Pyx_GIVEREF(__pyx_t_14);
                  PyTuple_SET_ITEM(__pyx_t_8, 1+__pyx_t_18, __pyx_t_14);
                  __pyx_t_14 = 0;
                  __pyx_t_26 = __Pyx_PyObject_Call(__pyx_t_9, __pyx_t_8, NULL); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 635, __pyx_L15_error)
                  __Pyx_GOTREF(__pyx_t_26);
                  __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
                }
                __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":635
 *                         train_weight_decay = self.weight_decay_term
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                             loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1]
 */
                __pyx_t_4 = __pyx_PyFloat_AsDouble(__pyx_t_26); if (unlikely((__pyx_t_4 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 635, __pyx_L15_error)
                __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
                __pyx_v_loss = __pyx_t_4;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":634
 *                         ver_pred_arr = pred_arr.copy()
 *                         train_weight_decay = self.weight_decay_term
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 */
                goto __pyx_L27;
              }

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":640
 *                             )
 *                         else:
 *                             loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1].reshape((
 */
              /*else*/ {
                __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 640, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_9);
                __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_compute_loss); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 640, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_8);
                __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":642
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                     batch_target_arr[:, -1].shape[0],
 *                                     -1
 */
                __pyx_t_14 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__71); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 642, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_14);
                __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_reshape); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 642, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_13);
                __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":643
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1].reshape((
 *                                     batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                     -1
 *                                 ))
 */
                __pyx_t_14 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__73); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 643, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_14);
                __pyx_t_15 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_shape); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 643, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_15);
                __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
                __pyx_t_14 = __Pyx_GetItemInt(__pyx_t_15, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 643, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_14);
                __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
                __pyx_t_15 = PyTuple_New(2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 643, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_15);
                __Pyx_GIVEREF(__pyx_t_14);
                PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_14);
                __Pyx_INCREF(__pyx_int_neg_1);
                __Pyx_GIVEREF(__pyx_int_neg_1);
                PyTuple_SET_ITEM(__pyx_t_15, 1, __pyx_int_neg_1);
                __pyx_t_14 = 0;
                __pyx_t_14 = NULL;
                if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) {
                  __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_13);
                  if (likely(__pyx_t_14)) {
                    PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13);
                    __Pyx_INCREF(__pyx_t_14);
                    __Pyx_INCREF(function);
                    __Pyx_DECREF_SET(__pyx_t_13, function);
                  }
                }
                if (!__pyx_t_14) {
                  __pyx_t_9 = __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_15); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 642, __pyx_L15_error)
                  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
                  __Pyx_GOTREF(__pyx_t_9);
                } else {
                  #if CYTHON_FAST_PYCALL
                  if (PyFunction_Check(__pyx_t_13)) {
                    PyObject *__pyx_temp[2] = {__pyx_t_14, __pyx_t_15};
                    __pyx_t_9 = __Pyx_PyFunction_FastCall(__pyx_t_13, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 642, __pyx_L15_error)
                    __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
                    __Pyx_GOTREF(__pyx_t_9);
                    __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
                  } else
                  #endif
                  #if CYTHON_FAST_PYCCALL
                  if (__Pyx_PyFastCFunction_Check(__pyx_t_13)) {
                    PyObject *__pyx_temp[2] = {__pyx_t_14, __pyx_t_15};
                    __pyx_t_9 = __Pyx_PyCFunction_FastCall(__pyx_t_13, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 642, __pyx_L15_error)
                    __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
                    __Pyx_GOTREF(__pyx_t_9);
                    __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
                  } else
                  #endif
                  {
                    __pyx_t_12 = PyTuple_New(1+1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 642, __pyx_L15_error)
                    __Pyx_GOTREF(__pyx_t_12);
                    __Pyx_GIVEREF(__pyx_t_14); PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_14); __pyx_t_14 = NULL;
                    __Pyx_GIVEREF(__pyx_t_15);
                    PyTuple_SET_ITEM(__pyx_t_12, 0+1, __pyx_t_15);
                    __pyx_t_15 = 0;
                    __pyx_t_9 = __Pyx_PyObject_Call(__pyx_t_13, __pyx_t_12, NULL); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 642, __pyx_L15_error)
                    __Pyx_GOTREF(__pyx_t_9);
                    __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
                  }
                }
                __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
                __pyx_t_13 = NULL;
                __pyx_t_18 = 0;
                if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
                  __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_8);
                  if (likely(__pyx_t_13)) {
                    PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
                    __Pyx_INCREF(__pyx_t_13);
                    __Pyx_INCREF(function);
                    __Pyx_DECREF_SET(__pyx_t_8, function);
                    __pyx_t_18 = 1;
                  }
                }
                #if CYTHON_FAST_PYCALL
                if (PyFunction_Check(__pyx_t_8)) {
                  PyObject *__pyx_temp[3] = {__pyx_t_13, ((PyObject *)__pyx_v_pred_arr), __pyx_t_9};
                  __pyx_t_26 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 640, __pyx_L15_error)
                  __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0;
                  __Pyx_GOTREF(__pyx_t_26);
                  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
                } else
                #endif
                #if CYTHON_FAST_PYCCALL
                if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
                  PyObject *__pyx_temp[3] = {__pyx_t_13, ((PyObject *)__pyx_v_pred_arr), __pyx_t_9};
                  __pyx_t_26 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 640, __pyx_L15_error)
                  __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0;
                  __Pyx_GOTREF(__pyx_t_26);
                  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
                } else
                #endif
                {
                  __pyx_t_12 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 640, __pyx_L15_error)
                  __Pyx_GOTREF(__pyx_t_12);
                  if (__pyx_t_13) {
                    __Pyx_GIVEREF(__pyx_t_13); PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_13); __pyx_t_13 = NULL;
                  }
                  __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
                  __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
                  PyTuple_SET_ITEM(__pyx_t_12, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
                  __Pyx_GIVEREF(__pyx_t_9);
                  PyTuple_SET_ITEM(__pyx_t_12, 1+__pyx_t_18, __pyx_t_9);
                  __pyx_t_9 = 0;
                  __pyx_t_26 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_12, NULL); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 640, __pyx_L15_error)
                  __Pyx_GOTREF(__pyx_t_26);
                  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
                }
                __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":640
 *                             )
 *                         else:
 *                             loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1].reshape((
 */
                __pyx_t_4 = __pyx_PyFloat_AsDouble(__pyx_t_26); if (unlikely((__pyx_t_4 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 640, __pyx_L15_error)
                __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
                __pyx_v_loss = __pyx_t_4;
              }
              __pyx_L27:;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":647
 *                                 ))
 *                             )
 *                         loss = loss + train_weight_decay             # <<<<<<<<<<<<<<
 * 
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 */
              __pyx_t_26 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 647, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_26);
              __pyx_t_8 = PyNumber_Add(__pyx_t_26, __pyx_v_train_weight_decay); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 647, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_8);
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              __pyx_t_4 = __pyx_PyFloat_AsDouble(__pyx_t_8); if (unlikely((__pyx_t_4 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 647, __pyx_L15_error)
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __pyx_v_loss = __pyx_t_4;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":628
 *                             remember_flag = True
 * 
 *                     if remember_flag is True:             # <<<<<<<<<<<<<<
 *                         self.__remember_best_params(best_params_list)
 *                         # Re-try.
 */
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":649
 *                         loss = loss + train_weight_decay
 * 
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 */
            __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_pred_arr->nd); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 649, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_8);
            __pyx_t_26 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__75); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 649, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_26);
            __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_26, __pyx_n_s_ndim); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 649, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_12);
            __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
            __pyx_t_26 = PyObject_RichCompare(__pyx_t_8, __pyx_t_12, Py_EQ); __Pyx_XGOTREF(__pyx_t_26); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 649, __pyx_L15_error)
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
            __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_26); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 649, __pyx_L15_error)
            __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
            if (__pyx_t_3) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":650
 * 
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                         delta_arr = self.__computable_loss.compute_delta(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1]
 */
              __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 650, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_12);
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_compute_delta); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 650, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_8);
              __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":652
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 *                             batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                         )
 *                     else:
 */
              __pyx_t_12 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__77); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 652, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_12);
              __pyx_t_9 = NULL;
              __pyx_t_18 = 0;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
                __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_8);
                if (likely(__pyx_t_9)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
                  __Pyx_INCREF(__pyx_t_9);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_8, function);
                  __pyx_t_18 = 1;
                }
              }
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_8)) {
                PyObject *__pyx_temp[3] = {__pyx_t_9, ((PyObject *)__pyx_v_pred_arr), __pyx_t_12};
                __pyx_t_26 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 650, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
                __Pyx_GOTREF(__pyx_t_26);
                __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
                PyObject *__pyx_temp[3] = {__pyx_t_9, ((PyObject *)__pyx_v_pred_arr), __pyx_t_12};
                __pyx_t_26 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 650, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
                __Pyx_GOTREF(__pyx_t_26);
                __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
              } else
              #endif
              {
                __pyx_t_13 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 650, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_13);
                if (__pyx_t_9) {
                  __Pyx_GIVEREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_t_9); __pyx_t_9 = NULL;
                }
                __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
                PyTuple_SET_ITEM(__pyx_t_13, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(__pyx_t_12);
                PyTuple_SET_ITEM(__pyx_t_13, 1+__pyx_t_18, __pyx_t_12);
                __pyx_t_12 = 0;
                __pyx_t_26 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_13, NULL); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 650, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_26);
                __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
              }
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":650
 * 
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                         delta_arr = self.__computable_loss.compute_delta(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1]
 */
              if (!(likely(((__pyx_t_26) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_26, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 650, __pyx_L15_error)
              __pyx_t_28 = ((PyArrayObject *)__pyx_t_26);
              {
                __Pyx_BufFmt_StackElem __pyx_stack[1];
                __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer);
                __pyx_t_18 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_28, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack);
                if (unlikely(__pyx_t_18 < 0)) {
                  PyErr_Fetch(&__pyx_t_23, &__pyx_t_24, &__pyx_t_25);
                  if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_delta_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) {
                    Py_XDECREF(__pyx_t_23); Py_XDECREF(__pyx_t_24); Py_XDECREF(__pyx_t_25);
                    __Pyx_RaiseBufferFallbackError();
                  } else {
                    PyErr_Restore(__pyx_t_23, __pyx_t_24, __pyx_t_25);
                  }
                  __pyx_t_23 = __pyx_t_24 = __pyx_t_25 = 0;
                }
                __pyx_pybuffernd_delta_arr.diminfo[0].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_arr.diminfo[0].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_arr.diminfo[1].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_arr.diminfo[1].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[1];
                if (unlikely(__pyx_t_18 < 0)) __PYX_ERR(0, 650, __pyx_L15_error)
              }
              __pyx_t_28 = 0;
              __Pyx_XDECREF_SET(__pyx_v_delta_arr, ((PyArrayObject *)__pyx_t_26));
              __pyx_t_26 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":649
 *                         loss = loss + train_weight_decay
 * 
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 */
              goto __pyx_L28;
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":655
 *                         )
 *                     else:
 *                         delta_arr = self.__computable_loss.compute_delta(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 */
            /*else*/ {
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 655, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_8);
              __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_compute_delta); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 655, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_13);
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":657
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                 batch_target_arr[:, -1].shape[0],
 *                                 -1
 */
              __pyx_t_12 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__79); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 657, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_12);
              __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_reshape); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 657, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_9);
              __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":658
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 *                                 batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                 -1
 *                             ))
 */
              __pyx_t_12 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__81); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 658, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_12);
              __pyx_t_15 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_shape); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 658, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_15);
              __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
              __pyx_t_12 = __Pyx_GetItemInt(__pyx_t_15, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 658, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_12);
              __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
              __pyx_t_15 = PyTuple_New(2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 658, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_15);
              __Pyx_GIVEREF(__pyx_t_12);
              PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_12);
              __Pyx_INCREF(__pyx_int_neg_1);
              __Pyx_GIVEREF(__pyx_int_neg_1);
              PyTuple_SET_ITEM(__pyx_t_15, 1, __pyx_int_neg_1);
              __pyx_t_12 = 0;
              __pyx_t_12 = NULL;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) {
                __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_9);
                if (likely(__pyx_t_12)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
                  __Pyx_INCREF(__pyx_t_12);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_9, function);
                }
              }
              if (!__pyx_t_12) {
                __pyx_t_8 = __Pyx_PyObject_CallOneArg(__pyx_t_9, __pyx_t_15); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 657, __pyx_L15_error)
                __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
                __Pyx_GOTREF(__pyx_t_8);
              } else {
                #if CYTHON_FAST_PYCALL
                if (PyFunction_Check(__pyx_t_9)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_12, __pyx_t_15};
                  __pyx_t_8 = __Pyx_PyFunction_FastCall(__pyx_t_9, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 657, __pyx_L15_error)
                  __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
                  __Pyx_GOTREF(__pyx_t_8);
                  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
                } else
                #endif
                #if CYTHON_FAST_PYCCALL
                if (__Pyx_PyFastCFunction_Check(__pyx_t_9)) {
                  PyObject *__pyx_temp[2] = {__pyx_t_12, __pyx_t_15};
                  __pyx_t_8 = __Pyx_PyCFunction_FastCall(__pyx_t_9, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 657, __pyx_L15_error)
                  __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
                  __Pyx_GOTREF(__pyx_t_8);
                  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
                } else
                #endif
                {
                  __pyx_t_14 = PyTuple_New(1+1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 657, __pyx_L15_error)
                  __Pyx_GOTREF(__pyx_t_14);
                  __Pyx_GIVEREF(__pyx_t_12); PyTuple_SET_ITEM(__pyx_t_14, 0, __pyx_t_12); __pyx_t_12 = NULL;
                  __Pyx_GIVEREF(__pyx_t_15);
                  PyTuple_SET_ITEM(__pyx_t_14, 0+1, __pyx_t_15);
                  __pyx_t_15 = 0;
                  __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_9, __pyx_t_14, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 657, __pyx_L15_error)
                  __Pyx_GOTREF(__pyx_t_8);
                  __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
                }
              }
              __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
              __pyx_t_9 = NULL;
              __pyx_t_18 = 0;
              if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) {
                __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_13);
                if (likely(__pyx_t_9)) {
                  PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13);
                  __Pyx_INCREF(__pyx_t_9);
                  __Pyx_INCREF(function);
                  __Pyx_DECREF_SET(__pyx_t_13, function);
                  __pyx_t_18 = 1;
                }
              }
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_13)) {
                PyObject *__pyx_temp[3] = {__pyx_t_9, ((PyObject *)__pyx_v_pred_arr), __pyx_t_8};
                __pyx_t_26 = __Pyx_PyFunction_FastCall(__pyx_t_13, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 655, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
                __Pyx_GOTREF(__pyx_t_26);
                __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_13)) {
                PyObject *__pyx_temp[3] = {__pyx_t_9, ((PyObject *)__pyx_v_pred_arr), __pyx_t_8};
                __pyx_t_26 = __Pyx_PyCFunction_FastCall(__pyx_t_13, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 655, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
                __Pyx_GOTREF(__pyx_t_26);
                __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              } else
              #endif
              {
                __pyx_t_14 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 655, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_14);
                if (__pyx_t_9) {
                  __Pyx_GIVEREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_14, 0, __pyx_t_9); __pyx_t_9 = NULL;
                }
                __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
                PyTuple_SET_ITEM(__pyx_t_14, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
                __Pyx_GIVEREF(__pyx_t_8);
                PyTuple_SET_ITEM(__pyx_t_14, 1+__pyx_t_18, __pyx_t_8);
                __pyx_t_8 = 0;
                __pyx_t_26 = __Pyx_PyObject_Call(__pyx_t_13, __pyx_t_14, NULL); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 655, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_26);
                __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              }
              __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":655
 *                         )
 *                     else:
 *                         delta_arr = self.__computable_loss.compute_delta(             # <<<<<<<<<<<<<<
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 */
              if (!(likely(((__pyx_t_26) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_26, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 655, __pyx_L15_error)
              __pyx_t_28 = ((PyArrayObject *)__pyx_t_26);
              {
                __Pyx_BufFmt_StackElem __pyx_stack[1];
                __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer);
                __pyx_t_18 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_28, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack);
                if (unlikely(__pyx_t_18 < 0)) {
                  PyErr_Fetch(&__pyx_t_25, &__pyx_t_24, &__pyx_t_23);
                  if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_delta_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) {
                    Py_XDECREF(__pyx_t_25); Py_XDECREF(__pyx_t_24); Py_XDECREF(__pyx_t_23);
                    __Pyx_RaiseBufferFallbackError();
                  } else {
                    PyErr_Restore(__pyx_t_25, __pyx_t_24, __pyx_t_23);
                  }
                  __pyx_t_25 = __pyx_t_24 = __pyx_t_23 = 0;
                }
                __pyx_pybuffernd_delta_arr.diminfo[0].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_arr.diminfo[0].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_arr.diminfo[1].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_arr.diminfo[1].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[1];
                if (unlikely(__pyx_t_18 < 0)) __PYX_ERR(0, 655, __pyx_L15_error)
              }
              __pyx_t_28 = 0;
              __Pyx_XDECREF_SET(__pyx_v_delta_arr, ((PyArrayObject *)__pyx_t_26));
              __pyx_t_26 = 0;
            }
            __pyx_L28:;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":663
 *                         )
 * 
 *                     _delta_arr, grads_list = self.back_propagation(pred_arr, delta_arr)             # <<<<<<<<<<<<<<
 *                     self.optimize(grads_list, learning_rate, epoch)
 *                     self.graph.hidden_activity_arr = np.array([])
 */
            __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_back_propagation); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 663, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_13);
            __pyx_t_14 = NULL;
            __pyx_t_18 = 0;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_13))) {
              __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_13);
              if (likely(__pyx_t_14)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13);
                __Pyx_INCREF(__pyx_t_14);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_13, function);
                __pyx_t_18 = 1;
              }
            }
            #if CYTHON_FAST_PYCALL
            if (PyFunction_Check(__pyx_t_13)) {
              PyObject *__pyx_temp[3] = {__pyx_t_14, ((PyObject *)__pyx_v_pred_arr), ((PyObject *)__pyx_v_delta_arr)};
              __pyx_t_26 = __Pyx_PyFunction_FastCall(__pyx_t_13, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 663, __pyx_L15_error)
              __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
              __Pyx_GOTREF(__pyx_t_26);
            } else
            #endif
            #if CYTHON_FAST_PYCCALL
            if (__Pyx_PyFastCFunction_Check(__pyx_t_13)) {
              PyObject *__pyx_temp[3] = {__pyx_t_14, ((PyObject *)__pyx_v_pred_arr), ((PyObject *)__pyx_v_delta_arr)};
              __pyx_t_26 = __Pyx_PyCFunction_FastCall(__pyx_t_13, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 663, __pyx_L15_error)
              __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
              __Pyx_GOTREF(__pyx_t_26);
            } else
            #endif
            {
              __pyx_t_8 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 663, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_8);
              if (__pyx_t_14) {
                __Pyx_GIVEREF(__pyx_t_14); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_14); __pyx_t_14 = NULL;
              }
              __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
              __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
              PyTuple_SET_ITEM(__pyx_t_8, 0+__pyx_t_18, ((PyObject *)__pyx_v_pred_arr));
              __Pyx_INCREF(((PyObject *)__pyx_v_delta_arr));
              __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_arr));
              PyTuple_SET_ITEM(__pyx_t_8, 1+__pyx_t_18, ((PyObject *)__pyx_v_delta_arr));
              __pyx_t_26 = __Pyx_PyObject_Call(__pyx_t_13, __pyx_t_8, NULL); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 663, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_26);
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            }
            __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
            if ((likely(PyTuple_CheckExact(__pyx_t_26))) || (PyList_CheckExact(__pyx_t_26))) {
              PyObject* sequence = __pyx_t_26;
              Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
              if (unlikely(size != 2)) {
                if (size > 2) __Pyx_RaiseTooManyValuesError(2);
                else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
                __PYX_ERR(0, 663, __pyx_L15_error)
              }
              #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
              if (likely(PyTuple_CheckExact(sequence))) {
                __pyx_t_13 = PyTuple_GET_ITEM(sequence, 0); 
                __pyx_t_8 = PyTuple_GET_ITEM(sequence, 1); 
              } else {
                __pyx_t_13 = PyList_GET_ITEM(sequence, 0); 
                __pyx_t_8 = PyList_GET_ITEM(sequence, 1); 
              }
              __Pyx_INCREF(__pyx_t_13);
              __Pyx_INCREF(__pyx_t_8);
              #else
              __pyx_t_13 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 663, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_13);
              __pyx_t_8 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 663, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_8);
              #endif
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
            } else {
              Py_ssize_t index = -1;
              __pyx_t_14 = PyObject_GetIter(__pyx_t_26); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 663, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_14);
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              __pyx_t_16 = Py_TYPE(__pyx_t_14)->tp_iternext;
              index = 0; __pyx_t_13 = __pyx_t_16(__pyx_t_14); if (unlikely(!__pyx_t_13)) goto __pyx_L29_unpacking_failed;
              __Pyx_GOTREF(__pyx_t_13);
              index = 1; __pyx_t_8 = __pyx_t_16(__pyx_t_14); if (unlikely(!__pyx_t_8)) goto __pyx_L29_unpacking_failed;
              __Pyx_GOTREF(__pyx_t_8);
              if (__Pyx_IternextUnpackEndCheck(__pyx_t_16(__pyx_t_14), 2) < 0) __PYX_ERR(0, 663, __pyx_L15_error)
              __pyx_t_16 = NULL;
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              goto __pyx_L30_unpacking_done;
              __pyx_L29_unpacking_failed:;
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              __pyx_t_16 = NULL;
              if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
              __PYX_ERR(0, 663, __pyx_L15_error)
              __pyx_L30_unpacking_done:;
            }
            __Pyx_XDECREF_SET(__pyx_v__delta_arr, __pyx_t_13);
            __pyx_t_13 = 0;
            __Pyx_XDECREF_SET(__pyx_v_grads_list, __pyx_t_8);
            __pyx_t_8 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":664
 * 
 *                     _delta_arr, grads_list = self.back_propagation(pred_arr, delta_arr)
 *                     self.optimize(grads_list, learning_rate, epoch)             # <<<<<<<<<<<<<<
 *                     self.graph.hidden_activity_arr = np.array([])
 *                     self.graph.cec_activity_arr = np.array([])
 */
            __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_optimize); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 664, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_8);
            __pyx_t_13 = PyFloat_FromDouble(__pyx_v_learning_rate); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 664, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_13);
            __pyx_t_14 = __Pyx_PyInt_From_int(__pyx_v_epoch); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 664, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_14);
            __pyx_t_9 = NULL;
            __pyx_t_18 = 0;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
              __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_8);
              if (likely(__pyx_t_9)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
                __Pyx_INCREF(__pyx_t_9);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_8, function);
                __pyx_t_18 = 1;
              }
            }
            #if CYTHON_FAST_PYCALL
            if (PyFunction_Check(__pyx_t_8)) {
              PyObject *__pyx_temp[4] = {__pyx_t_9, __pyx_v_grads_list, __pyx_t_13, __pyx_t_14};
              __pyx_t_26 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_18, 3+__pyx_t_18); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 664, __pyx_L15_error)
              __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
              __Pyx_GOTREF(__pyx_t_26);
              __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
            } else
            #endif
            #if CYTHON_FAST_PYCCALL
            if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
              PyObject *__pyx_temp[4] = {__pyx_t_9, __pyx_v_grads_list, __pyx_t_13, __pyx_t_14};
              __pyx_t_26 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_18, 3+__pyx_t_18); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 664, __pyx_L15_error)
              __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
              __Pyx_GOTREF(__pyx_t_26);
              __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
            } else
            #endif
            {
              __pyx_t_15 = PyTuple_New(3+__pyx_t_18); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 664, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_15);
              if (__pyx_t_9) {
                __Pyx_GIVEREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_9); __pyx_t_9 = NULL;
              }
              __Pyx_INCREF(__pyx_v_grads_list);
              __Pyx_GIVEREF(__pyx_v_grads_list);
              PyTuple_SET_ITEM(__pyx_t_15, 0+__pyx_t_18, __pyx_v_grads_list);
              __Pyx_GIVEREF(__pyx_t_13);
              PyTuple_SET_ITEM(__pyx_t_15, 1+__pyx_t_18, __pyx_t_13);
              __Pyx_GIVEREF(__pyx_t_14);
              PyTuple_SET_ITEM(__pyx_t_15, 2+__pyx_t_18, __pyx_t_14);
              __pyx_t_13 = 0;
              __pyx_t_14 = 0;
              __pyx_t_26 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_15, NULL); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 664, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_26);
              __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
            }
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":665
 *                     _delta_arr, grads_list = self.back_propagation(pred_arr, delta_arr)
 *                     self.optimize(grads_list, learning_rate, epoch)
 *                     self.graph.hidden_activity_arr = np.array([])             # <<<<<<<<<<<<<<
 *                     self.graph.cec_activity_arr = np.array([])
 * 
 */
            __pyx_t_8 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 665, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_8);
            __pyx_t_15 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_array); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 665, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_15);
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            __pyx_t_8 = PyList_New(0); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 665, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_8);
            __pyx_t_14 = NULL;
            if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_15))) {
              __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_15);
              if (likely(__pyx_t_14)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_15);
                __Pyx_INCREF(__pyx_t_14);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_15, function);
              }
            }
            if (!__pyx_t_14) {
              __pyx_t_26 = __Pyx_PyObject_CallOneArg(__pyx_t_15, __pyx_t_8); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 665, __pyx_L15_error)
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __Pyx_GOTREF(__pyx_t_26);
            } else {
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_15)) {
                PyObject *__pyx_temp[2] = {__pyx_t_14, __pyx_t_8};
                __pyx_t_26 = __Pyx_PyFunction_FastCall(__pyx_t_15, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 665, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
                __Pyx_GOTREF(__pyx_t_26);
                __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_15)) {
                PyObject *__pyx_temp[2] = {__pyx_t_14, __pyx_t_8};
                __pyx_t_26 = __Pyx_PyCFunction_FastCall(__pyx_t_15, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 665, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
                __Pyx_GOTREF(__pyx_t_26);
                __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              } else
              #endif
              {
                __pyx_t_13 = PyTuple_New(1+1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 665, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_13);
                __Pyx_GIVEREF(__pyx_t_14); PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_t_14); __pyx_t_14 = NULL;
                __Pyx_GIVEREF(__pyx_t_8);
                PyTuple_SET_ITEM(__pyx_t_13, 0+1, __pyx_t_8);
                __pyx_t_8 = 0;
                __pyx_t_26 = __Pyx_PyObject_Call(__pyx_t_15, __pyx_t_13, NULL); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 665, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_26);
                __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
              }
            }
            __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
            __pyx_t_15 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 665, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_15);
            if (__Pyx_PyObject_SetAttrStr(__pyx_t_15, __pyx_n_s_hidden_activity_arr, __pyx_t_26) < 0) __PYX_ERR(0, 665, __pyx_L15_error)
            __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
            __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":666
 *                     self.optimize(grads_list, learning_rate, epoch)
 *                     self.graph.hidden_activity_arr = np.array([])
 *                     self.graph.cec_activity_arr = np.array([])             # <<<<<<<<<<<<<<
 * 
 *                     if min_loss is None or min_loss > loss:
 */
            __pyx_t_26 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 666, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_26);
            __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_26, __pyx_n_s_array); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 666, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_13);
            __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
            __pyx_t_26 = PyList_New(0); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 666, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_26);
            __pyx_t_8 = NULL;
            if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_13))) {
              __pyx_t_8 = PyMethod_GET_SELF(__pyx_t_13);
              if (likely(__pyx_t_8)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_13);
                __Pyx_INCREF(__pyx_t_8);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_13, function);
              }
            }
            if (!__pyx_t_8) {
              __pyx_t_15 = __Pyx_PyObject_CallOneArg(__pyx_t_13, __pyx_t_26); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 666, __pyx_L15_error)
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              __Pyx_GOTREF(__pyx_t_15);
            } else {
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_13)) {
                PyObject *__pyx_temp[2] = {__pyx_t_8, __pyx_t_26};
                __pyx_t_15 = __Pyx_PyFunction_FastCall(__pyx_t_13, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 666, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                __Pyx_GOTREF(__pyx_t_15);
                __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_13)) {
                PyObject *__pyx_temp[2] = {__pyx_t_8, __pyx_t_26};
                __pyx_t_15 = __Pyx_PyCFunction_FastCall(__pyx_t_13, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 666, __pyx_L15_error)
                __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
                __Pyx_GOTREF(__pyx_t_15);
                __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              } else
              #endif
              {
                __pyx_t_14 = PyTuple_New(1+1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 666, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_14);
                __Pyx_GIVEREF(__pyx_t_8); PyTuple_SET_ITEM(__pyx_t_14, 0, __pyx_t_8); __pyx_t_8 = NULL;
                __Pyx_GIVEREF(__pyx_t_26);
                PyTuple_SET_ITEM(__pyx_t_14, 0+1, __pyx_t_26);
                __pyx_t_26 = 0;
                __pyx_t_15 = __Pyx_PyObject_Call(__pyx_t_13, __pyx_t_14, NULL); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 666, __pyx_L15_error)
                __Pyx_GOTREF(__pyx_t_15);
                __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              }
            }
            __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
            __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 666, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_13);
            if (__Pyx_PyObject_SetAttrStr(__pyx_t_13, __pyx_n_s_cec_activity_arr, __pyx_t_15) < 0) __PYX_ERR(0, 666, __pyx_L15_error)
            __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
            __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":668
 *                     self.graph.cec_activity_arr = np.array([])
 * 
 *                     if min_loss is None or min_loss > loss:             # <<<<<<<<<<<<<<
 *                         min_loss = loss
 *                         best_params_list = [
 */
            __pyx_t_2 = (__pyx_v_min_loss == Py_None);
            __pyx_t_29 = (__pyx_t_2 != 0);
            if (!__pyx_t_29) {
            } else {
              __pyx_t_3 = __pyx_t_29;
              goto __pyx_L32_bool_binop_done;
            }
            __pyx_t_13 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 668, __pyx_L15_error)
            __Pyx_GOTREF(__pyx_t_13);
            __pyx_t_15 = PyObject_RichCompare(__pyx_v_min_loss, __pyx_t_13, Py_GT); __Pyx_XGOTREF(__pyx_t_15); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 668, __pyx_L15_error)
            __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
            __pyx_t_29 = __Pyx_PyObject_IsTrue(__pyx_t_15); if (unlikely(__pyx_t_29 < 0)) __PYX_ERR(0, 668, __pyx_L15_error)
            __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
            __pyx_t_3 = __pyx_t_29;
            __pyx_L32_bool_binop_done:;
            if (__pyx_t_3) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":669
 * 
 *                     if min_loss is None or min_loss > loss:
 *                         min_loss = loss             # <<<<<<<<<<<<<<
 *                         best_params_list = [
 *                             self.__given_conv.graph.weight_arr,
 */
              __pyx_t_15 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 669, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_15);
              __Pyx_DECREF_SET(__pyx_v_min_loss, __pyx_t_15);
              __pyx_t_15 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":671
 *                         min_loss = loss
 *                         best_params_list = [
 *                             self.__given_conv.graph.weight_arr,             # <<<<<<<<<<<<<<
 *                             self.__input_conv.graph.weight_arr,
 *                             self.__forgot_conv.graph.weight_arr,
 */
              __pyx_t_15 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 671, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_15);
              __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_15, __pyx_n_s_graph); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 671, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_13);
              __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
              __pyx_t_15 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 671, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_15);
              __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":672
 *                         best_params_list = [
 *                             self.__given_conv.graph.weight_arr,
 *                             self.__input_conv.graph.weight_arr,             # <<<<<<<<<<<<<<
 *                             self.__forgot_conv.graph.weight_arr,
 *                             self.__output_conv.graph.weight_arr,
 */
              __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 672, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_13);
              __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_graph); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 672, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_14);
              __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
              __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 672, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_13);
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":673
 *                             self.__given_conv.graph.weight_arr,
 *                             self.__input_conv.graph.weight_arr,
 *                             self.__forgot_conv.graph.weight_arr,             # <<<<<<<<<<<<<<
 *                             self.__output_conv.graph.weight_arr,
 *                             self.__given_conv.graph.bias_arr,
 */
              __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 673, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_14);
              __pyx_t_26 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_graph); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 673, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_26);
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_26, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 673, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_14);
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":674
 *                             self.__input_conv.graph.weight_arr,
 *                             self.__forgot_conv.graph.weight_arr,
 *                             self.__output_conv.graph.weight_arr,             # <<<<<<<<<<<<<<
 *                             self.__given_conv.graph.bias_arr,
 *                             self.__input_conv.graph.bias_arr,
 */
              __pyx_t_26 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 674, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_26);
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_26, __pyx_n_s_graph); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 674, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_8);
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              __pyx_t_26 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 674, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_26);
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":675
 *                             self.__forgot_conv.graph.weight_arr,
 *                             self.__output_conv.graph.weight_arr,
 *                             self.__given_conv.graph.bias_arr,             # <<<<<<<<<<<<<<
 *                             self.__input_conv.graph.bias_arr,
 *                             self.__forgot_conv.graph.bias_arr,
 */
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 675, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_8);
              __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 675, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_9);
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_bias_arr); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 675, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_8);
              __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":676
 *                             self.__output_conv.graph.weight_arr,
 *                             self.__given_conv.graph.bias_arr,
 *                             self.__input_conv.graph.bias_arr,             # <<<<<<<<<<<<<<
 *                             self.__forgot_conv.graph.bias_arr,
 *                             self.__output_conv.graph.bias_arr
 */
              __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 676, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_9);
              __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 676, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_12);
              __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
              __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_bias_arr); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 676, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_9);
              __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":677
 *                             self.__given_conv.graph.bias_arr,
 *                             self.__input_conv.graph.bias_arr,
 *                             self.__forgot_conv.graph.bias_arr,             # <<<<<<<<<<<<<<
 *                             self.__output_conv.graph.bias_arr
 *                         ]
 */
              __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 677, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_12);
              __pyx_t_30 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_graph); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 677, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_30);
              __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
              __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_30, __pyx_n_s_bias_arr); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 677, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_12);
              __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":678
 *                             self.__input_conv.graph.bias_arr,
 *                             self.__forgot_conv.graph.bias_arr,
 *                             self.__output_conv.graph.bias_arr             # <<<<<<<<<<<<<<
 *                         ]
 *                         self.__logger.debug("Best params are updated.")
 */
              __pyx_t_30 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 678, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_30);
              __pyx_t_31 = __Pyx_PyObject_GetAttrStr(__pyx_t_30, __pyx_n_s_graph); if (unlikely(!__pyx_t_31)) __PYX_ERR(0, 678, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_31);
              __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
              __pyx_t_30 = __Pyx_PyObject_GetAttrStr(__pyx_t_31, __pyx_n_s_bias_arr); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 678, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_30);
              __Pyx_DECREF(__pyx_t_31); __pyx_t_31 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":670
 *                     if min_loss is None or min_loss > loss:
 *                         min_loss = loss
 *                         best_params_list = [             # <<<<<<<<<<<<<<
 *                             self.__given_conv.graph.weight_arr,
 *                             self.__input_conv.graph.weight_arr,
 */
              __pyx_t_31 = PyList_New(8); if (unlikely(!__pyx_t_31)) __PYX_ERR(0, 670, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_31);
              __Pyx_GIVEREF(__pyx_t_15);
              PyList_SET_ITEM(__pyx_t_31, 0, __pyx_t_15);
              __Pyx_GIVEREF(__pyx_t_13);
              PyList_SET_ITEM(__pyx_t_31, 1, __pyx_t_13);
              __Pyx_GIVEREF(__pyx_t_14);
              PyList_SET_ITEM(__pyx_t_31, 2, __pyx_t_14);
              __Pyx_GIVEREF(__pyx_t_26);
              PyList_SET_ITEM(__pyx_t_31, 3, __pyx_t_26);
              __Pyx_GIVEREF(__pyx_t_8);
              PyList_SET_ITEM(__pyx_t_31, 4, __pyx_t_8);
              __Pyx_GIVEREF(__pyx_t_9);
              PyList_SET_ITEM(__pyx_t_31, 5, __pyx_t_9);
              __Pyx_GIVEREF(__pyx_t_12);
              PyList_SET_ITEM(__pyx_t_31, 6, __pyx_t_12);
              __Pyx_GIVEREF(__pyx_t_30);
              PyList_SET_ITEM(__pyx_t_31, 7, __pyx_t_30);
              __pyx_t_15 = 0;
              __pyx_t_13 = 0;
              __pyx_t_14 = 0;
              __pyx_t_26 = 0;
              __pyx_t_8 = 0;
              __pyx_t_9 = 0;
              __pyx_t_12 = 0;
              __pyx_t_30 = 0;
              __Pyx_DECREF_SET(__pyx_v_best_params_list, ((PyObject*)__pyx_t_31));
              __pyx_t_31 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":680
 *                             self.__output_conv.graph.bias_arr
 *                         ]
 *                         self.__logger.debug("Best params are updated.")             # <<<<<<<<<<<<<<
 * 
 *                 except FloatingPointError:
 */
              __pyx_t_31 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__logger); if (unlikely(!__pyx_t_31)) __PYX_ERR(0, 680, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_31);
              __pyx_t_30 = __Pyx_PyObject_GetAttrStr(__pyx_t_31, __pyx_n_s_debug); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 680, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_30);
              __Pyx_DECREF(__pyx_t_31); __pyx_t_31 = 0;
              __pyx_t_31 = __Pyx_PyObject_Call(__pyx_t_30, __pyx_tuple__82, NULL); if (unlikely(!__pyx_t_31)) __PYX_ERR(0, 680, __pyx_L15_error)
              __Pyx_GOTREF(__pyx_t_31);
              __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
              __Pyx_DECREF(__pyx_t_31); __pyx_t_31 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":668
 *                     self.graph.cec_activity_arr = np.array([])
 * 
 *                     if min_loss is None or min_loss > loss:             # <<<<<<<<<<<<<<
 *                         min_loss = loss
 *                         best_params_list = [
 */
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":604
 *                     learning_rate = learning_rate * self.__learning_attenuate_rate
 * 
 *                 try:             # <<<<<<<<<<<<<<
 *                     pred_arr = self.forward_propagation(batch_observed_arr)
 *                     ver_pred_arr = pred_arr.copy()
 */
          }
          __Pyx_XDECREF(__pyx_t_21); __pyx_t_21 = 0;
          __Pyx_XDECREF(__pyx_t_20); __pyx_t_20 = 0;
          __Pyx_XDECREF(__pyx_t_19); __pyx_t_19 = 0;
          goto __pyx_L22_try_end;
          __pyx_L15_error:;
          __Pyx_XDECREF(__pyx_t_15); __pyx_t_15 = 0;
          __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0;
          __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
          __Pyx_XDECREF(__pyx_t_26); __pyx_t_26 = 0;
          __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
          __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
          __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
          __Pyx_XDECREF(__pyx_t_30); __pyx_t_30 = 0;
          __Pyx_XDECREF(__pyx_t_31); __pyx_t_31 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":682
 *                         self.__logger.debug("Best params are updated.")
 * 
 *                 except FloatingPointError:             # <<<<<<<<<<<<<<
 *                     if epoch > int(self.__epochs * 0.7):
 *                         self.__logger.debug(
 */
          __pyx_t_18 = __Pyx_PyErr_ExceptionMatches(__pyx_builtin_FloatingPointError);
          if (__pyx_t_18) {
            __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.learn_generated", __pyx_clineno, __pyx_lineno, __pyx_filename);
            if (__Pyx_GetException(&__pyx_t_31, &__pyx_t_30, &__pyx_t_12) < 0) __PYX_ERR(0, 682, __pyx_L17_except_error)
            __Pyx_GOTREF(__pyx_t_31);
            __Pyx_GOTREF(__pyx_t_30);
            __Pyx_GOTREF(__pyx_t_12);

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":683
 * 
 *                 except FloatingPointError:
 *                     if epoch > int(self.__epochs * 0.7):             # <<<<<<<<<<<<<<
 *                         self.__logger.debug(
 *                             "Underflow occurred when the parameters are being updated. Because of early stopping, this error is catched and the parameter is not updated."
 */
            __pyx_t_9 = __Pyx_PyInt_From_int(__pyx_v_epoch); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 683, __pyx_L17_except_error)
            __Pyx_GOTREF(__pyx_t_9);
            __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__epochs); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 683, __pyx_L17_except_error)
            __Pyx_GOTREF(__pyx_t_8);
            __pyx_t_26 = PyNumber_Multiply(__pyx_t_8, __pyx_float_0_7); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 683, __pyx_L17_except_error)
            __Pyx_GOTREF(__pyx_t_26);
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            __pyx_t_8 = __Pyx_PyNumber_Int(__pyx_t_26); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 683, __pyx_L17_except_error)
            __Pyx_GOTREF(__pyx_t_8);
            __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
            __pyx_t_26 = PyObject_RichCompare(__pyx_t_9, __pyx_t_8, Py_GT); __Pyx_XGOTREF(__pyx_t_26); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 683, __pyx_L17_except_error)
            __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_26); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 683, __pyx_L17_except_error)
            __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
            if (likely(__pyx_t_3)) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":684
 *                 except FloatingPointError:
 *                     if epoch > int(self.__epochs * 0.7):
 *                         self.__logger.debug(             # <<<<<<<<<<<<<<
 *                             "Underflow occurred when the parameters are being updated. Because of early stopping, this error is catched and the parameter is not updated."
 *                         )
 */
              __pyx_t_26 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__logger); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 684, __pyx_L17_except_error)
              __Pyx_GOTREF(__pyx_t_26);
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_26, __pyx_n_s_debug); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 684, __pyx_L17_except_error)
              __Pyx_GOTREF(__pyx_t_8);
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
              __pyx_t_26 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_tuple__83, NULL); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 684, __pyx_L17_except_error)
              __Pyx_GOTREF(__pyx_t_26);
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":687
 *                             "Underflow occurred when the parameters are being updated. Because of early stopping, this error is catched and the parameter is not updated."
 *                         )
 *                         eary_stop_flag = True             # <<<<<<<<<<<<<<
 *                         break
 *                     else:
 */
              __pyx_v_eary_stop_flag = 1;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":688
 *                         )
 *                         eary_stop_flag = True
 *                         break             # <<<<<<<<<<<<<<
 *                     else:
 *                         raise
 */
              goto __pyx_L34_except_break;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":683
 * 
 *                 except FloatingPointError:
 *                     if epoch > int(self.__epochs * 0.7):             # <<<<<<<<<<<<<<
 *                         self.__logger.debug(
 *                             "Underflow occurred when the parameters are being updated. Because of early stopping, this error is catched and the parameter is not updated."
 */
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":690
 *                         break
 *                     else:
 *                         raise             # <<<<<<<<<<<<<<
 * 
 *                 if self.__test_size_rate > 0:
 */
            /*else*/ {
              __Pyx_GIVEREF(__pyx_t_31);
              __Pyx_GIVEREF(__pyx_t_30);
              __Pyx_XGIVEREF(__pyx_t_12);
              __Pyx_ErrRestoreWithState(__pyx_t_31, __pyx_t_30, __pyx_t_12);
              __pyx_t_31 = 0; __pyx_t_30 = 0; __pyx_t_12 = 0; 
              __PYX_ERR(0, 690, __pyx_L17_except_error)
            }
            __pyx_L34_except_break:;
            __Pyx_DECREF(__pyx_t_31); __pyx_t_31 = 0;
            __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
            __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
            goto __pyx_L20_try_break;
          }
          goto __pyx_L17_except_error;
          __pyx_L17_except_error:;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":604
 *                     learning_rate = learning_rate * self.__learning_attenuate_rate
 * 
 *                 try:             # <<<<<<<<<<<<<<
 *                     pred_arr = self.forward_propagation(batch_observed_arr)
 *                     ver_pred_arr = pred_arr.copy()
 */
          __Pyx_XGIVEREF(__pyx_t_21);
          __Pyx_XGIVEREF(__pyx_t_20);
          __Pyx_XGIVEREF(__pyx_t_19);
          __Pyx_ExceptionReset(__pyx_t_21, __pyx_t_20, __pyx_t_19);
          goto __pyx_L4_error;
          __pyx_L20_try_break:;
          __Pyx_XGIVEREF(__pyx_t_21);
          __Pyx_XGIVEREF(__pyx_t_20);
          __Pyx_XGIVEREF(__pyx_t_19);
          __Pyx_ExceptionReset(__pyx_t_21, __pyx_t_20, __pyx_t_19);
          goto __pyx_L11_break;
          __pyx_L22_try_end:;
        }

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":692
 *                         raise
 * 
 *                 if self.__test_size_rate > 0:             # <<<<<<<<<<<<<<
 *                     self.__opt_params.inferencing_mode = True
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 */
        __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__test_size_rate); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 692, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_12);
        __pyx_t_30 = PyObject_RichCompare(__pyx_t_12, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_30); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 692, __pyx_L4_error)
        __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
        __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_30); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 692, __pyx_L4_error)
        __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
        if (__pyx_t_3) {

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":693
 * 
 *                 if self.__test_size_rate > 0:
 *                     self.__opt_params.inferencing_mode = True             # <<<<<<<<<<<<<<
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 *                     test_weight_decay = self.weight_decay_term
 */
          __pyx_t_30 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 693, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_30);
          if (__Pyx_PyObject_SetAttrStr(__pyx_t_30, __pyx_n_s_inferencing_mode, Py_True) < 0) __PYX_ERR(0, 693, __pyx_L4_error)
          __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":694
 *                 if self.__test_size_rate > 0:
 *                     self.__opt_params.inferencing_mode = True
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)             # <<<<<<<<<<<<<<
 *                     test_weight_decay = self.weight_decay_term
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 */
          __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_forward_propagation); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 694, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_12);
          __pyx_t_31 = NULL;
          if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_12))) {
            __pyx_t_31 = PyMethod_GET_SELF(__pyx_t_12);
            if (likely(__pyx_t_31)) {
              PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_12);
              __Pyx_INCREF(__pyx_t_31);
              __Pyx_INCREF(function);
              __Pyx_DECREF_SET(__pyx_t_12, function);
            }
          }
          if (!__pyx_t_31) {
            __pyx_t_30 = __Pyx_PyObject_CallOneArg(__pyx_t_12, __pyx_v_test_batch_observed_arr); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 694, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_30);
          } else {
            #if CYTHON_FAST_PYCALL
            if (PyFunction_Check(__pyx_t_12)) {
              PyObject *__pyx_temp[2] = {__pyx_t_31, __pyx_v_test_batch_observed_arr};
              __pyx_t_30 = __Pyx_PyFunction_FastCall(__pyx_t_12, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 694, __pyx_L4_error)
              __Pyx_XDECREF(__pyx_t_31); __pyx_t_31 = 0;
              __Pyx_GOTREF(__pyx_t_30);
            } else
            #endif
            #if CYTHON_FAST_PYCCALL
            if (__Pyx_PyFastCFunction_Check(__pyx_t_12)) {
              PyObject *__pyx_temp[2] = {__pyx_t_31, __pyx_v_test_batch_observed_arr};
              __pyx_t_30 = __Pyx_PyCFunction_FastCall(__pyx_t_12, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 694, __pyx_L4_error)
              __Pyx_XDECREF(__pyx_t_31); __pyx_t_31 = 0;
              __Pyx_GOTREF(__pyx_t_30);
            } else
            #endif
            {
              __pyx_t_26 = PyTuple_New(1+1); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 694, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_26);
              __Pyx_GIVEREF(__pyx_t_31); PyTuple_SET_ITEM(__pyx_t_26, 0, __pyx_t_31); __pyx_t_31 = NULL;
              __Pyx_INCREF(__pyx_v_test_batch_observed_arr);
              __Pyx_GIVEREF(__pyx_v_test_batch_observed_arr);
              PyTuple_SET_ITEM(__pyx_t_26, 0+1, __pyx_v_test_batch_observed_arr);
              __pyx_t_30 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_t_26, NULL); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 694, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_30);
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
            }
          }
          __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
          if (!(likely(((__pyx_t_30) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_30, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 694, __pyx_L4_error)
          __pyx_t_32 = ((PyArrayObject *)__pyx_t_30);
          {
            __Pyx_BufFmt_StackElem __pyx_stack[1];
            __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer);
            __pyx_t_18 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_32, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack);
            if (unlikely(__pyx_t_18 < 0)) {
              PyErr_Fetch(&__pyx_t_19, &__pyx_t_20, &__pyx_t_21);
              if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_test_pred_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) {
                Py_XDECREF(__pyx_t_19); Py_XDECREF(__pyx_t_20); Py_XDECREF(__pyx_t_21);
                __Pyx_RaiseBufferFallbackError();
              } else {
                PyErr_Restore(__pyx_t_19, __pyx_t_20, __pyx_t_21);
              }
              __pyx_t_19 = __pyx_t_20 = __pyx_t_21 = 0;
            }
            __pyx_pybuffernd_test_pred_arr.diminfo[0].strides = __pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_test_pred_arr.diminfo[0].shape = __pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_test_pred_arr.diminfo[1].strides = __pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_test_pred_arr.diminfo[1].shape = __pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer.shape[1];
            if (unlikely(__pyx_t_18 < 0)) __PYX_ERR(0, 694, __pyx_L4_error)
          }
          __pyx_t_32 = 0;
          __Pyx_XDECREF_SET(__pyx_v_test_pred_arr, ((PyArrayObject *)__pyx_t_30));
          __pyx_t_30 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":695
 *                     self.__opt_params.inferencing_mode = True
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 *                     test_weight_decay = self.weight_decay_term             # <<<<<<<<<<<<<<
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 *                         test_loss = self.__computable_loss.compute_loss(
 */
          __pyx_t_30 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 695, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_30);
          __Pyx_XDECREF_SET(__pyx_v_test_weight_decay, __pyx_t_30);
          __pyx_t_30 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":696
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 *                     test_weight_decay = self.weight_decay_term
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 */
          __pyx_t_30 = __Pyx_PyInt_From_int(__pyx_v_test_pred_arr->nd); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 696, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_30);
          __pyx_t_12 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__85); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 696, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_12);
          __pyx_t_26 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_ndim); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 696, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_26);
          __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
          __pyx_t_12 = PyObject_RichCompare(__pyx_t_30, __pyx_t_26, Py_EQ); __Pyx_XGOTREF(__pyx_t_12); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 696, __pyx_L4_error)
          __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
          __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
          __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_12); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 696, __pyx_L4_error)
          __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
          if (__pyx_t_3) {

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":697
 *                     test_weight_decay = self.weight_decay_term
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 *                         test_loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1]
 */
            __pyx_t_26 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 697, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_26);
            __pyx_t_30 = __Pyx_PyObject_GetAttrStr(__pyx_t_26, __pyx_n_s_compute_loss); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 697, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_30);
            __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":699
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                         )
 *                     else:
 */
            __pyx_t_26 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__87); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 699, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_26);
            __pyx_t_31 = NULL;
            __pyx_t_18 = 0;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_30))) {
              __pyx_t_31 = PyMethod_GET_SELF(__pyx_t_30);
              if (likely(__pyx_t_31)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_30);
                __Pyx_INCREF(__pyx_t_31);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_30, function);
                __pyx_t_18 = 1;
              }
            }
            #if CYTHON_FAST_PYCALL
            if (PyFunction_Check(__pyx_t_30)) {
              PyObject *__pyx_temp[3] = {__pyx_t_31, ((PyObject *)__pyx_v_test_pred_arr), __pyx_t_26};
              __pyx_t_12 = __Pyx_PyFunction_FastCall(__pyx_t_30, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 697, __pyx_L4_error)
              __Pyx_XDECREF(__pyx_t_31); __pyx_t_31 = 0;
              __Pyx_GOTREF(__pyx_t_12);
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
            } else
            #endif
            #if CYTHON_FAST_PYCCALL
            if (__Pyx_PyFastCFunction_Check(__pyx_t_30)) {
              PyObject *__pyx_temp[3] = {__pyx_t_31, ((PyObject *)__pyx_v_test_pred_arr), __pyx_t_26};
              __pyx_t_12 = __Pyx_PyCFunction_FastCall(__pyx_t_30, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 697, __pyx_L4_error)
              __Pyx_XDECREF(__pyx_t_31); __pyx_t_31 = 0;
              __Pyx_GOTREF(__pyx_t_12);
              __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
            } else
            #endif
            {
              __pyx_t_8 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 697, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_8);
              if (__pyx_t_31) {
                __Pyx_GIVEREF(__pyx_t_31); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_31); __pyx_t_31 = NULL;
              }
              __Pyx_INCREF(((PyObject *)__pyx_v_test_pred_arr));
              __Pyx_GIVEREF(((PyObject *)__pyx_v_test_pred_arr));
              PyTuple_SET_ITEM(__pyx_t_8, 0+__pyx_t_18, ((PyObject *)__pyx_v_test_pred_arr));
              __Pyx_GIVEREF(__pyx_t_26);
              PyTuple_SET_ITEM(__pyx_t_8, 1+__pyx_t_18, __pyx_t_26);
              __pyx_t_26 = 0;
              __pyx_t_12 = __Pyx_PyObject_Call(__pyx_t_30, __pyx_t_8, NULL); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 697, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_12);
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            }
            __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":697
 *                     test_weight_decay = self.weight_decay_term
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 *                         test_loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1]
 */
            __pyx_t_4 = __pyx_PyFloat_AsDouble(__pyx_t_12); if (unlikely((__pyx_t_4 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 697, __pyx_L4_error)
            __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
            __pyx_v_test_loss = __pyx_t_4;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":696
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 *                     test_weight_decay = self.weight_decay_term
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 */
            goto __pyx_L38;
          }

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":702
 *                         )
 *                     else:
 *                         test_loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1].reshape((
 */
          /*else*/ {
            __pyx_t_30 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 702, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_30);
            __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_30, __pyx_n_s_compute_loss); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 702, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_8);
            __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":704
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                 test_batch_target_arr[:, -1].shape[0],
 *                                 -1
 */
            __pyx_t_26 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__89); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 704, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_26);
            __pyx_t_31 = __Pyx_PyObject_GetAttrStr(__pyx_t_26, __pyx_n_s_reshape); if (unlikely(!__pyx_t_31)) __PYX_ERR(0, 704, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_31);
            __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":705
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1].reshape((
 *                                 test_batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                 -1
 *                             ))
 */
            __pyx_t_26 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__91); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 705, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_26);
            __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_26, __pyx_n_s_shape); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 705, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_9);
            __Pyx_DECREF(__pyx_t_26); __pyx_t_26 = 0;
            __pyx_t_26 = __Pyx_GetItemInt(__pyx_t_9, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_26)) __PYX_ERR(0, 705, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_26);
            __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
            __pyx_t_9 = PyTuple_New(2); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 705, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_9);
            __Pyx_GIVEREF(__pyx_t_26);
            PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_26);
            __Pyx_INCREF(__pyx_int_neg_1);
            __Pyx_GIVEREF(__pyx_int_neg_1);
            PyTuple_SET_ITEM(__pyx_t_9, 1, __pyx_int_neg_1);
            __pyx_t_26 = 0;
            __pyx_t_26 = NULL;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_31))) {
              __pyx_t_26 = PyMethod_GET_SELF(__pyx_t_31);
              if (likely(__pyx_t_26)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_31);
                __Pyx_INCREF(__pyx_t_26);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_31, function);
              }
            }
            if (!__pyx_t_26) {
              __pyx_t_30 = __Pyx_PyObject_CallOneArg(__pyx_t_31, __pyx_t_9); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 704, __pyx_L4_error)
              __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
              __Pyx_GOTREF(__pyx_t_30);
            } else {
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_31)) {
                PyObject *__pyx_temp[2] = {__pyx_t_26, __pyx_t_9};
                __pyx_t_30 = __Pyx_PyFunction_FastCall(__pyx_t_31, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 704, __pyx_L4_error)
                __Pyx_XDECREF(__pyx_t_26); __pyx_t_26 = 0;
                __Pyx_GOTREF(__pyx_t_30);
                __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_31)) {
                PyObject *__pyx_temp[2] = {__pyx_t_26, __pyx_t_9};
                __pyx_t_30 = __Pyx_PyCFunction_FastCall(__pyx_t_31, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 704, __pyx_L4_error)
                __Pyx_XDECREF(__pyx_t_26); __pyx_t_26 = 0;
                __Pyx_GOTREF(__pyx_t_30);
                __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
              } else
              #endif
              {
                __pyx_t_14 = PyTuple_New(1+1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 704, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_14);
                __Pyx_GIVEREF(__pyx_t_26); PyTuple_SET_ITEM(__pyx_t_14, 0, __pyx_t_26); __pyx_t_26 = NULL;
                __Pyx_GIVEREF(__pyx_t_9);
                PyTuple_SET_ITEM(__pyx_t_14, 0+1, __pyx_t_9);
                __pyx_t_9 = 0;
                __pyx_t_30 = __Pyx_PyObject_Call(__pyx_t_31, __pyx_t_14, NULL); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 704, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_30);
                __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              }
            }
            __Pyx_DECREF(__pyx_t_31); __pyx_t_31 = 0;
            __pyx_t_31 = NULL;
            __pyx_t_18 = 0;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
              __pyx_t_31 = PyMethod_GET_SELF(__pyx_t_8);
              if (likely(__pyx_t_31)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
                __Pyx_INCREF(__pyx_t_31);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_8, function);
                __pyx_t_18 = 1;
              }
            }
            #if CYTHON_FAST_PYCALL
            if (PyFunction_Check(__pyx_t_8)) {
              PyObject *__pyx_temp[3] = {__pyx_t_31, ((PyObject *)__pyx_v_test_pred_arr), __pyx_t_30};
              __pyx_t_12 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 702, __pyx_L4_error)
              __Pyx_XDECREF(__pyx_t_31); __pyx_t_31 = 0;
              __Pyx_GOTREF(__pyx_t_12);
              __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
            } else
            #endif
            #if CYTHON_FAST_PYCCALL
            if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
              PyObject *__pyx_temp[3] = {__pyx_t_31, ((PyObject *)__pyx_v_test_pred_arr), __pyx_t_30};
              __pyx_t_12 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-__pyx_t_18, 2+__pyx_t_18); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 702, __pyx_L4_error)
              __Pyx_XDECREF(__pyx_t_31); __pyx_t_31 = 0;
              __Pyx_GOTREF(__pyx_t_12);
              __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
            } else
            #endif
            {
              __pyx_t_14 = PyTuple_New(2+__pyx_t_18); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 702, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_14);
              if (__pyx_t_31) {
                __Pyx_GIVEREF(__pyx_t_31); PyTuple_SET_ITEM(__pyx_t_14, 0, __pyx_t_31); __pyx_t_31 = NULL;
              }
              __Pyx_INCREF(((PyObject *)__pyx_v_test_pred_arr));
              __Pyx_GIVEREF(((PyObject *)__pyx_v_test_pred_arr));
              PyTuple_SET_ITEM(__pyx_t_14, 0+__pyx_t_18, ((PyObject *)__pyx_v_test_pred_arr));
              __Pyx_GIVEREF(__pyx_t_30);
              PyTuple_SET_ITEM(__pyx_t_14, 1+__pyx_t_18, __pyx_t_30);
              __pyx_t_30 = 0;
              __pyx_t_12 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_14, NULL); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 702, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_12);
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
            }
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":702
 *                         )
 *                     else:
 *                         test_loss = self.__computable_loss.compute_loss(             # <<<<<<<<<<<<<<
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1].reshape((
 */
            __pyx_t_4 = __pyx_PyFloat_AsDouble(__pyx_t_12); if (unlikely((__pyx_t_4 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 702, __pyx_L4_error)
            __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
            __pyx_v_test_loss = __pyx_t_4;
          }
          __pyx_L38:;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":709
 *                             ))
 *                         )
 *                     test_loss = test_loss + test_weight_decay             # <<<<<<<<<<<<<<
 * 
 *                     remember_flag = False
 */
          __pyx_t_12 = PyFloat_FromDouble(__pyx_v_test_loss); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 709, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_12);
          __pyx_t_8 = PyNumber_Add(__pyx_t_12, __pyx_v_test_weight_decay); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 709, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_8);
          __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
          __pyx_t_4 = __pyx_PyFloat_AsDouble(__pyx_t_8); if (unlikely((__pyx_t_4 == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 709, __pyx_L4_error)
          __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
          __pyx_v_test_loss = __pyx_t_4;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":711
 *                     test_loss = test_loss + test_weight_decay
 * 
 *                     remember_flag = False             # <<<<<<<<<<<<<<
 *                     if len(loss_list) > 0:
 *                         if abs(test_loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 */
          __pyx_v_remember_flag = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":712
 * 
 *                     remember_flag = False
 *                     if len(loss_list) > 0:             # <<<<<<<<<<<<<<
 *                         if abs(test_loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 *                             remember_flag = True
 */
          __pyx_t_27 = PyList_GET_SIZE(__pyx_v_loss_list); if (unlikely(__pyx_t_27 == ((Py_ssize_t)-1))) __PYX_ERR(0, 712, __pyx_L4_error)
          __pyx_t_3 = ((__pyx_t_27 > 0) != 0);
          if (__pyx_t_3) {

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":713
 *                     remember_flag = False
 *                     if len(loss_list) > 0:
 *                         if abs(test_loss - (sum(loss_list)/len(loss_list))) > self.__tld:             # <<<<<<<<<<<<<<
 *                             remember_flag = True
 * 
 */
            __pyx_t_8 = PyFloat_FromDouble(__pyx_v_test_loss); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 713, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_8);
            __pyx_t_12 = __Pyx_PyObject_CallOneArg(__pyx_builtin_sum, __pyx_v_loss_list); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 713, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_12);
            __pyx_t_27 = PyList_GET_SIZE(__pyx_v_loss_list); if (unlikely(__pyx_t_27 == ((Py_ssize_t)-1))) __PYX_ERR(0, 713, __pyx_L4_error)
            __pyx_t_14 = PyInt_FromSsize_t(__pyx_t_27); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 713, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_14);
            __pyx_t_30 = __Pyx_PyNumber_Divide(__pyx_t_12, __pyx_t_14); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 713, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_30);
            __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
            __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
            __pyx_t_14 = PyNumber_Subtract(__pyx_t_8, __pyx_t_30); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 713, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_14);
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
            __pyx_t_30 = __Pyx_PyNumber_Absolute(__pyx_t_14); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 713, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_30);
            __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
            __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__tld); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 713, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_14);
            __pyx_t_8 = PyObject_RichCompare(__pyx_t_30, __pyx_t_14, Py_GT); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 713, __pyx_L4_error)
            __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
            __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
            __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 713, __pyx_L4_error)
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            if (__pyx_t_3) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":714
 *                     if len(loss_list) > 0:
 *                         if abs(test_loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 *                             remember_flag = True             # <<<<<<<<<<<<<<
 * 
 *                     if remember_flag is True:
 */
              __pyx_v_remember_flag = 1;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":713
 *                     remember_flag = False
 *                     if len(loss_list) > 0:
 *                         if abs(test_loss - (sum(loss_list)/len(loss_list))) > self.__tld:             # <<<<<<<<<<<<<<
 *                             remember_flag = True
 * 
 */
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":712
 * 
 *                     remember_flag = False
 *                     if len(loss_list) > 0:             # <<<<<<<<<<<<<<
 *                         if abs(test_loss - (sum(loss_list)/len(loss_list))) > self.__tld:
 *                             remember_flag = True
 */
          }

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":716
 *                             remember_flag = True
 * 
 *                     if remember_flag is True:             # <<<<<<<<<<<<<<
 *                         self.__remember_best_params(best_params_list)
 *                         # Re-try.
 */
          __pyx_t_3 = ((__pyx_v_remember_flag == 1) != 0);
          if (__pyx_t_3) {

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":717
 * 
 *                     if remember_flag is True:
 *                         self.__remember_best_params(best_params_list)             # <<<<<<<<<<<<<<
 *                         # Re-try.
 *                         test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 */
            __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__remember_best_pa); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 717, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_14);
            __pyx_t_30 = NULL;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_14))) {
              __pyx_t_30 = PyMethod_GET_SELF(__pyx_t_14);
              if (likely(__pyx_t_30)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_14);
                __Pyx_INCREF(__pyx_t_30);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_14, function);
              }
            }
            if (!__pyx_t_30) {
              __pyx_t_8 = __Pyx_PyObject_CallOneArg(__pyx_t_14, __pyx_v_best_params_list); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 717, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_8);
            } else {
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_14)) {
                PyObject *__pyx_temp[2] = {__pyx_t_30, __pyx_v_best_params_list};
                __pyx_t_8 = __Pyx_PyFunction_FastCall(__pyx_t_14, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 717, __pyx_L4_error)
                __Pyx_XDECREF(__pyx_t_30); __pyx_t_30 = 0;
                __Pyx_GOTREF(__pyx_t_8);
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_14)) {
                PyObject *__pyx_temp[2] = {__pyx_t_30, __pyx_v_best_params_list};
                __pyx_t_8 = __Pyx_PyCFunction_FastCall(__pyx_t_14, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 717, __pyx_L4_error)
                __Pyx_XDECREF(__pyx_t_30); __pyx_t_30 = 0;
                __Pyx_GOTREF(__pyx_t_8);
              } else
              #endif
              {
                __pyx_t_12 = PyTuple_New(1+1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 717, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_12);
                __Pyx_GIVEREF(__pyx_t_30); PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_30); __pyx_t_30 = NULL;
                __Pyx_INCREF(__pyx_v_best_params_list);
                __Pyx_GIVEREF(__pyx_v_best_params_list);
                PyTuple_SET_ITEM(__pyx_t_12, 0+1, __pyx_v_best_params_list);
                __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_14, __pyx_t_12, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 717, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_8);
                __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
              }
            }
            __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":719
 *                         self.__remember_best_params(best_params_list)
 *                         # Re-try.
 *                         test_pred_arr = self.forward_propagation(test_batch_observed_arr)             # <<<<<<<<<<<<<<
 * 
 *                     self.__opt_params.dropout_rate = self.__dropout_rate
 */
            __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_forward_propagation); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 719, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_14);
            __pyx_t_12 = NULL;
            if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_14))) {
              __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_14);
              if (likely(__pyx_t_12)) {
                PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_14);
                __Pyx_INCREF(__pyx_t_12);
                __Pyx_INCREF(function);
                __Pyx_DECREF_SET(__pyx_t_14, function);
              }
            }
            if (!__pyx_t_12) {
              __pyx_t_8 = __Pyx_PyObject_CallOneArg(__pyx_t_14, __pyx_v_test_batch_observed_arr); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 719, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_8);
            } else {
              #if CYTHON_FAST_PYCALL
              if (PyFunction_Check(__pyx_t_14)) {
                PyObject *__pyx_temp[2] = {__pyx_t_12, __pyx_v_test_batch_observed_arr};
                __pyx_t_8 = __Pyx_PyFunction_FastCall(__pyx_t_14, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 719, __pyx_L4_error)
                __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
                __Pyx_GOTREF(__pyx_t_8);
              } else
              #endif
              #if CYTHON_FAST_PYCCALL
              if (__Pyx_PyFastCFunction_Check(__pyx_t_14)) {
                PyObject *__pyx_temp[2] = {__pyx_t_12, __pyx_v_test_batch_observed_arr};
                __pyx_t_8 = __Pyx_PyCFunction_FastCall(__pyx_t_14, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 719, __pyx_L4_error)
                __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
                __Pyx_GOTREF(__pyx_t_8);
              } else
              #endif
              {
                __pyx_t_30 = PyTuple_New(1+1); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 719, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_30);
                __Pyx_GIVEREF(__pyx_t_12); PyTuple_SET_ITEM(__pyx_t_30, 0, __pyx_t_12); __pyx_t_12 = NULL;
                __Pyx_INCREF(__pyx_v_test_batch_observed_arr);
                __Pyx_GIVEREF(__pyx_v_test_batch_observed_arr);
                PyTuple_SET_ITEM(__pyx_t_30, 0+1, __pyx_v_test_batch_observed_arr);
                __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_14, __pyx_t_30, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 719, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_8);
                __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
              }
            }
            __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
            if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 719, __pyx_L4_error)
            __pyx_t_32 = ((PyArrayObject *)__pyx_t_8);
            {
              __Pyx_BufFmt_StackElem __pyx_stack[1];
              __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer);
              __pyx_t_18 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_32, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack);
              if (unlikely(__pyx_t_18 < 0)) {
                PyErr_Fetch(&__pyx_t_21, &__pyx_t_20, &__pyx_t_19);
                if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_test_pred_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) {
                  Py_XDECREF(__pyx_t_21); Py_XDECREF(__pyx_t_20); Py_XDECREF(__pyx_t_19);
                  __Pyx_RaiseBufferFallbackError();
                } else {
                  PyErr_Restore(__pyx_t_21, __pyx_t_20, __pyx_t_19);
                }
                __pyx_t_21 = __pyx_t_20 = __pyx_t_19 = 0;
              }
              __pyx_pybuffernd_test_pred_arr.diminfo[0].strides = __pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_test_pred_arr.diminfo[0].shape = __pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_test_pred_arr.diminfo[1].strides = __pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_test_pred_arr.diminfo[1].shape = __pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer.shape[1];
              if (unlikely(__pyx_t_18 < 0)) __PYX_ERR(0, 719, __pyx_L4_error)
            }
            __pyx_t_32 = 0;
            __Pyx_DECREF_SET(__pyx_v_test_pred_arr, ((PyArrayObject *)__pyx_t_8));
            __pyx_t_8 = 0;

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":716
 *                             remember_flag = True
 * 
 *                     if remember_flag is True:             # <<<<<<<<<<<<<<
 *                         self.__remember_best_params(best_params_list)
 *                         # Re-try.
 */
          }

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":721
 *                         test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 * 
 *                     self.__opt_params.dropout_rate = self.__dropout_rate             # <<<<<<<<<<<<<<
 *                     if self.__verificatable_result is not None:
 *                         if self.__test_size_rate > 0:
 */
          __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__dropout_rate); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 721, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_8);
          __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 721, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_14);
          if (__Pyx_PyObject_SetAttrStr(__pyx_t_14, __pyx_n_s_dropout_rate, __pyx_t_8) < 0) __PYX_ERR(0, 721, __pyx_L4_error)
          __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
          __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":722
 * 
 *                     self.__opt_params.dropout_rate = self.__dropout_rate
 *                     if self.__verificatable_result is not None:             # <<<<<<<<<<<<<<
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1].ndim:
 */
          __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__verificatable_re); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 722, __pyx_L4_error)
          __Pyx_GOTREF(__pyx_t_14);
          __pyx_t_3 = (__pyx_t_14 != Py_None);
          __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
          __pyx_t_29 = (__pyx_t_3 != 0);
          if (__pyx_t_29) {

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":723
 *                     self.__opt_params.dropout_rate = self.__dropout_rate
 *                     if self.__verificatable_result is not None:
 *                         if self.__test_size_rate > 0:             # <<<<<<<<<<<<<<
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                                 train_label_arr = batch_target_arr[:, -1]
 */
            __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__test_size_rate); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 723, __pyx_L4_error)
            __Pyx_GOTREF(__pyx_t_14);
            __pyx_t_8 = PyObject_RichCompare(__pyx_t_14, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 723, __pyx_L4_error)
            __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
            __pyx_t_29 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely(__pyx_t_29 < 0)) __PYX_ERR(0, 723, __pyx_L4_error)
            __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
            if (__pyx_t_29) {

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":724
 *                     if self.__verificatable_result is not None:
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                                 train_label_arr = batch_target_arr[:, -1]
 *                             else:
 */
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_ver_pred_arr, __pyx_n_s_ndim); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 724, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_8);
              __pyx_t_14 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__93); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 724, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_14);
              __pyx_t_30 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_ndim); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 724, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_30);
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              __pyx_t_14 = PyObject_RichCompare(__pyx_t_8, __pyx_t_30, Py_EQ); __Pyx_XGOTREF(__pyx_t_14); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 724, __pyx_L4_error)
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
              __pyx_t_29 = __Pyx_PyObject_IsTrue(__pyx_t_14); if (unlikely(__pyx_t_29 < 0)) __PYX_ERR(0, 724, __pyx_L4_error)
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              if (__pyx_t_29) {

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":725
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                                 train_label_arr = batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                             else:
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((
 */
                __pyx_t_14 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__95); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 725, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_14);
                __Pyx_XDECREF_SET(__pyx_v_train_label_arr, __pyx_t_14);
                __pyx_t_14 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":724
 *                     if self.__verificatable_result is not None:
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                                 train_label_arr = batch_target_arr[:, -1]
 *                             else:
 */
                goto __pyx_L44;
              }

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":727
 *                                 train_label_arr = batch_target_arr[:, -1]
 *                             else:
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                     batch_target_arr[:, -1].shape[0],
 *                                     -1
 */
              /*else*/ {
                __pyx_t_30 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__97); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 727, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_30);
                __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_30, __pyx_n_s_reshape); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 727, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_8);
                __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":728
 *                             else:
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((
 *                                     batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                     -1
 *                                 ))
 */
                __pyx_t_30 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_batch_target_arr), __pyx_tuple__99); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 728, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_30);
                __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_30, __pyx_n_s_shape); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 728, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_12);
                __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
                __pyx_t_30 = __Pyx_GetItemInt(__pyx_t_12, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 728, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_30);
                __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
                __pyx_t_12 = PyTuple_New(2); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 728, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_12);
                __Pyx_GIVEREF(__pyx_t_30);
                PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_30);
                __Pyx_INCREF(__pyx_int_neg_1);
                __Pyx_GIVEREF(__pyx_int_neg_1);
                PyTuple_SET_ITEM(__pyx_t_12, 1, __pyx_int_neg_1);
                __pyx_t_30 = 0;
                __pyx_t_30 = NULL;
                if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
                  __pyx_t_30 = PyMethod_GET_SELF(__pyx_t_8);
                  if (likely(__pyx_t_30)) {
                    PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
                    __Pyx_INCREF(__pyx_t_30);
                    __Pyx_INCREF(function);
                    __Pyx_DECREF_SET(__pyx_t_8, function);
                  }
                }
                if (!__pyx_t_30) {
                  __pyx_t_14 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_12); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 727, __pyx_L4_error)
                  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
                  __Pyx_GOTREF(__pyx_t_14);
                } else {
                  #if CYTHON_FAST_PYCALL
                  if (PyFunction_Check(__pyx_t_8)) {
                    PyObject *__pyx_temp[2] = {__pyx_t_30, __pyx_t_12};
                    __pyx_t_14 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 727, __pyx_L4_error)
                    __Pyx_XDECREF(__pyx_t_30); __pyx_t_30 = 0;
                    __Pyx_GOTREF(__pyx_t_14);
                    __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
                  } else
                  #endif
                  #if CYTHON_FAST_PYCCALL
                  if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
                    PyObject *__pyx_temp[2] = {__pyx_t_30, __pyx_t_12};
                    __pyx_t_14 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 727, __pyx_L4_error)
                    __Pyx_XDECREF(__pyx_t_30); __pyx_t_30 = 0;
                    __Pyx_GOTREF(__pyx_t_14);
                    __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
                  } else
                  #endif
                  {
                    __pyx_t_31 = PyTuple_New(1+1); if (unlikely(!__pyx_t_31)) __PYX_ERR(0, 727, __pyx_L4_error)
                    __Pyx_GOTREF(__pyx_t_31);
                    __Pyx_GIVEREF(__pyx_t_30); PyTuple_SET_ITEM(__pyx_t_31, 0, __pyx_t_30); __pyx_t_30 = NULL;
                    __Pyx_GIVEREF(__pyx_t_12);
                    PyTuple_SET_ITEM(__pyx_t_31, 0+1, __pyx_t_12);
                    __pyx_t_12 = 0;
                    __pyx_t_14 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_31, NULL); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 727, __pyx_L4_error)
                    __Pyx_GOTREF(__pyx_t_14);
                    __Pyx_DECREF(__pyx_t_31); __pyx_t_31 = 0;
                  }
                }
                __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
                __Pyx_XDECREF_SET(__pyx_v_train_label_arr, __pyx_t_14);
                __pyx_t_14 = 0;
              }
              __pyx_L44:;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":732
 *                                 ))
 * 
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                                 test_label_arr = test_batch_target_arr[:, -1]
 *                             else:
 */
              __pyx_t_14 = __Pyx_PyInt_From_int(__pyx_v_test_pred_arr->nd); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 732, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_14);
              __pyx_t_8 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__101); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 732, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_8);
              __pyx_t_31 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_ndim); if (unlikely(!__pyx_t_31)) __PYX_ERR(0, 732, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_31);
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __pyx_t_8 = PyObject_RichCompare(__pyx_t_14, __pyx_t_31, Py_EQ); __Pyx_XGOTREF(__pyx_t_8); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 732, __pyx_L4_error)
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              __Pyx_DECREF(__pyx_t_31); __pyx_t_31 = 0;
              __pyx_t_29 = __Pyx_PyObject_IsTrue(__pyx_t_8); if (unlikely(__pyx_t_29 < 0)) __PYX_ERR(0, 732, __pyx_L4_error)
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              if (__pyx_t_29) {

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":733
 * 
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 *                                 test_label_arr = test_batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                             else:
 *                                 test_label_arr = test_batch_target_arr[:, -1].reshape((
 */
                __pyx_t_8 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__103); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 733, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_8);
                __Pyx_XDECREF_SET(__pyx_v_test_label_arr, __pyx_t_8);
                __pyx_t_8 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":732
 *                                 ))
 * 
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                                 test_label_arr = test_batch_target_arr[:, -1]
 *                             else:
 */
                goto __pyx_L45;
              }

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":735
 *                                 test_label_arr = test_batch_target_arr[:, -1]
 *                             else:
 *                                 test_label_arr = test_batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                     test_batch_target_arr[:, -1].shape[0],
 *                                     -1
 */
              /*else*/ {
                __pyx_t_31 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__105); if (unlikely(!__pyx_t_31)) __PYX_ERR(0, 735, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_31);
                __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_31, __pyx_n_s_reshape); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 735, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_14);
                __Pyx_DECREF(__pyx_t_31); __pyx_t_31 = 0;

                /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":736
 *                             else:
 *                                 test_label_arr = test_batch_target_arr[:, -1].reshape((
 *                                     test_batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                     -1
 *                                 ))
 */
                __pyx_t_31 = __Pyx_PyObject_GetItem(__pyx_v_test_batch_target_arr, __pyx_tuple__107); if (unlikely(!__pyx_t_31)) __PYX_ERR(0, 736, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_31);
                __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_31, __pyx_n_s_shape); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 736, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_12);
                __Pyx_DECREF(__pyx_t_31); __pyx_t_31 = 0;
                __pyx_t_31 = __Pyx_GetItemInt(__pyx_t_12, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_31)) __PYX_ERR(0, 736, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_31);
                __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
                __pyx_t_12 = PyTuple_New(2); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 736, __pyx_L4_error)
                __Pyx_GOTREF(__pyx_t_12);
                __Pyx_GIVEREF(__pyx_t_31);
                PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_31);
                __Pyx_INCREF(__pyx_int_neg_1);
                __Pyx_GIVEREF(__pyx_int_neg_1);
                PyTuple_SET_ITEM(__pyx_t_12, 1, __pyx_int_neg_1);
                __pyx_t_31 = 0;
                __pyx_t_31 = NULL;
                if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_14))) {
                  __pyx_t_31 = PyMethod_GET_SELF(__pyx_t_14);
                  if (likely(__pyx_t_31)) {
                    PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_14);
                    __Pyx_INCREF(__pyx_t_31);
                    __Pyx_INCREF(function);
                    __Pyx_DECREF_SET(__pyx_t_14, function);
                  }
                }
                if (!__pyx_t_31) {
                  __pyx_t_8 = __Pyx_PyObject_CallOneArg(__pyx_t_14, __pyx_t_12); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 735, __pyx_L4_error)
                  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
                  __Pyx_GOTREF(__pyx_t_8);
                } else {
                  #if CYTHON_FAST_PYCALL
                  if (PyFunction_Check(__pyx_t_14)) {
                    PyObject *__pyx_temp[2] = {__pyx_t_31, __pyx_t_12};
                    __pyx_t_8 = __Pyx_PyFunction_FastCall(__pyx_t_14, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 735, __pyx_L4_error)
                    __Pyx_XDECREF(__pyx_t_31); __pyx_t_31 = 0;
                    __Pyx_GOTREF(__pyx_t_8);
                    __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
                  } else
                  #endif
                  #if CYTHON_FAST_PYCCALL
                  if (__Pyx_PyFastCFunction_Check(__pyx_t_14)) {
                    PyObject *__pyx_temp[2] = {__pyx_t_31, __pyx_t_12};
                    __pyx_t_8 = __Pyx_PyCFunction_FastCall(__pyx_t_14, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 735, __pyx_L4_error)
                    __Pyx_XDECREF(__pyx_t_31); __pyx_t_31 = 0;
                    __Pyx_GOTREF(__pyx_t_8);
                    __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
                  } else
                  #endif
                  {
                    __pyx_t_30 = PyTuple_New(1+1); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 735, __pyx_L4_error)
                    __Pyx_GOTREF(__pyx_t_30);
                    __Pyx_GIVEREF(__pyx_t_31); PyTuple_SET_ITEM(__pyx_t_30, 0, __pyx_t_31); __pyx_t_31 = NULL;
                    __Pyx_GIVEREF(__pyx_t_12);
                    PyTuple_SET_ITEM(__pyx_t_30, 0+1, __pyx_t_12);
                    __pyx_t_12 = 0;
                    __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_14, __pyx_t_30, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 735, __pyx_L4_error)
                    __Pyx_GOTREF(__pyx_t_8);
                    __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
                  }
                }
                __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
                __Pyx_XDECREF_SET(__pyx_v_test_label_arr, __pyx_t_8);
                __pyx_t_8 = 0;
              }
              __pyx_L45:;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":740
 *                                 ))
 * 
 *                             self.__verificatable_result.verificate(             # <<<<<<<<<<<<<<
 *                                 self.__computable_loss,
 *                                 train_pred_arr=ver_pred_arr,
 */
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__verificatable_re); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 740, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_8);
              __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_verificate); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 740, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_14);
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":741
 * 
 *                             self.__verificatable_result.verificate(
 *                                 self.__computable_loss,             # <<<<<<<<<<<<<<
 *                                 train_pred_arr=ver_pred_arr,
 *                                 train_label_arr=train_label_arr,
 */
              __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__computable_loss); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 741, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_8);

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":740
 *                                 ))
 * 
 *                             self.__verificatable_result.verificate(             # <<<<<<<<<<<<<<
 *                                 self.__computable_loss,
 *                                 train_pred_arr=ver_pred_arr,
 */
              __pyx_t_30 = PyTuple_New(1); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 740, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_30);
              __Pyx_GIVEREF(__pyx_t_8);
              PyTuple_SET_ITEM(__pyx_t_30, 0, __pyx_t_8);
              __pyx_t_8 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":742
 *                             self.__verificatable_result.verificate(
 *                                 self.__computable_loss,
 *                                 train_pred_arr=ver_pred_arr,             # <<<<<<<<<<<<<<
 *                                 train_label_arr=train_label_arr,
 *                                 test_pred_arr=test_pred_arr,
 */
              __pyx_t_8 = __Pyx_PyDict_NewPresized(6); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 742, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_8);
              if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_train_pred_arr, __pyx_v_ver_pred_arr) < 0) __PYX_ERR(0, 742, __pyx_L4_error)

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":743
 *                                 self.__computable_loss,
 *                                 train_pred_arr=ver_pred_arr,
 *                                 train_label_arr=train_label_arr,             # <<<<<<<<<<<<<<
 *                                 test_pred_arr=test_pred_arr,
 *                                 test_label_arr=test_label_arr,
 */
              if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_train_label_arr, __pyx_v_train_label_arr) < 0) __PYX_ERR(0, 742, __pyx_L4_error)

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":744
 *                                 train_pred_arr=ver_pred_arr,
 *                                 train_label_arr=train_label_arr,
 *                                 test_pred_arr=test_pred_arr,             # <<<<<<<<<<<<<<
 *                                 test_label_arr=test_label_arr,
 *                                 train_penalty=train_weight_decay,
 */
              if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_test_pred_arr, ((PyObject *)__pyx_v_test_pred_arr)) < 0) __PYX_ERR(0, 742, __pyx_L4_error)

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":745
 *                                 train_label_arr=train_label_arr,
 *                                 test_pred_arr=test_pred_arr,
 *                                 test_label_arr=test_label_arr,             # <<<<<<<<<<<<<<
 *                                 train_penalty=train_weight_decay,
 *                                 test_penalty=test_weight_decay
 */
              if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_test_label_arr, __pyx_v_test_label_arr) < 0) __PYX_ERR(0, 742, __pyx_L4_error)

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":746
 *                                 test_pred_arr=test_pred_arr,
 *                                 test_label_arr=test_label_arr,
 *                                 train_penalty=train_weight_decay,             # <<<<<<<<<<<<<<
 *                                 test_penalty=test_weight_decay
 *                             )
 */
              if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_train_penalty, __pyx_v_train_weight_decay) < 0) __PYX_ERR(0, 742, __pyx_L4_error)

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":747
 *                                 test_label_arr=test_label_arr,
 *                                 train_penalty=train_weight_decay,
 *                                 test_penalty=test_weight_decay             # <<<<<<<<<<<<<<
 *                             )
 * 
 */
              if (PyDict_SetItem(__pyx_t_8, __pyx_n_s_test_penalty, __pyx_v_test_weight_decay) < 0) __PYX_ERR(0, 742, __pyx_L4_error)

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":740
 *                                 ))
 * 
 *                             self.__verificatable_result.verificate(             # <<<<<<<<<<<<<<
 *                                 self.__computable_loss,
 *                                 train_pred_arr=ver_pred_arr,
 */
              __pyx_t_12 = __Pyx_PyObject_Call(__pyx_t_14, __pyx_t_30, __pyx_t_8); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 740, __pyx_L4_error)
              __Pyx_GOTREF(__pyx_t_12);
              __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
              __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
              __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
              __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

              /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":723
 *                     self.__opt_params.dropout_rate = self.__dropout_rate
 *                     if self.__verificatable_result is not None:
 *                         if self.__test_size_rate > 0:             # <<<<<<<<<<<<<<
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                                 train_label_arr = batch_target_arr[:, -1]
 */
            }

            /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":722
 * 
 *                     self.__opt_params.dropout_rate = self.__dropout_rate
 *                     if self.__verificatable_result is not None:             # <<<<<<<<<<<<<<
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1].ndim:
 */
          }

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":692
 *                         raise
 * 
 *                 if self.__test_size_rate > 0:             # <<<<<<<<<<<<<<
 *                     self.__opt_params.inferencing_mode = True
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 */
        }

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":750
 *                             )
 * 
 *                 if epoch > 1 and abs(loss - loss_list[-1]) < self.__tol:             # <<<<<<<<<<<<<<
 *                     eary_stop_flag = True
 *                     break
 */
        __pyx_t_3 = ((__pyx_v_epoch > 1) != 0);
        if (__pyx_t_3) {
        } else {
          __pyx_t_29 = __pyx_t_3;
          goto __pyx_L47_bool_binop_done;
        }
        __pyx_t_12 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 750, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_12);
        __pyx_t_8 = __Pyx_GetItemInt_List(__pyx_v_loss_list, -1L, long, 1, __Pyx_PyInt_From_long, 1, 1, 1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 750, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_8);
        __pyx_t_30 = PyNumber_Subtract(__pyx_t_12, __pyx_t_8); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 750, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_30);
        __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        __pyx_t_8 = __Pyx_PyNumber_Absolute(__pyx_t_30); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 750, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_8);
        __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
        __pyx_t_30 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__tol); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 750, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_30);
        __pyx_t_12 = PyObject_RichCompare(__pyx_t_8, __pyx_t_30, Py_LT); __Pyx_XGOTREF(__pyx_t_12); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 750, __pyx_L4_error)
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
        __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
        __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_12); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 750, __pyx_L4_error)
        __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
        __pyx_t_29 = __pyx_t_3;
        __pyx_L47_bool_binop_done:;
        if (__pyx_t_29) {

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":751
 * 
 *                 if epoch > 1 and abs(loss - loss_list[-1]) < self.__tol:
 *                     eary_stop_flag = True             # <<<<<<<<<<<<<<
 *                     break
 *                 loss_list.append(loss)
 */
          __pyx_v_eary_stop_flag = 1;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":752
 *                 if epoch > 1 and abs(loss - loss_list[-1]) < self.__tol:
 *                     eary_stop_flag = True
 *                     break             # <<<<<<<<<<<<<<
 *                 loss_list.append(loss)
 * 
 */
          goto __pyx_L11_break;

          /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":750
 *                             )
 * 
 *                 if epoch > 1 and abs(loss - loss_list[-1]) < self.__tol:             # <<<<<<<<<<<<<<
 *                     eary_stop_flag = True
 *                     break
 */
        }

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":753
 *                     eary_stop_flag = True
 *                     break
 *                 loss_list.append(loss)             # <<<<<<<<<<<<<<
 * 
 *         except KeyboardInterrupt:
 */
        __pyx_t_12 = PyFloat_FromDouble(__pyx_v_loss); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 753, __pyx_L4_error)
        __Pyx_GOTREF(__pyx_t_12);
        __pyx_t_33 = __Pyx_PyList_Append(__pyx_v_loss_list, __pyx_t_12); if (unlikely(__pyx_t_33 == ((int)-1))) __PYX_ERR(0, 753, __pyx_L4_error)
        __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

        /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":596
 *             eary_stop_flag = False
 *             epoch = 0
 *             for batch_observed_arr, batch_target_arr, test_batch_observed_arr, test_batch_target_arr in feature_generator.generate():             # <<<<<<<<<<<<<<
 *                 epoch += 1
 *                 self.__opt_params.dropout_rate = self.__dropout_rate
 */
      }
      __pyx_L11_break:;
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":588
 * 
 *         best_params_list = []
 *         try:             # <<<<<<<<<<<<<<
 *             self.__memory_tuple_list = []
 *             self.__opt_params.dropout_rate = self.__dropout_rate
 */
    }
    __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
    goto __pyx_L9_try_end;
    __pyx_L4_error:;
    __Pyx_XDECREF(__pyx_t_15); __pyx_t_15 = 0;
    __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0;
    __Pyx_XDECREF(__pyx_t_26); __pyx_t_26 = 0;
    __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
    __Pyx_XDECREF(__pyx_t_31); __pyx_t_31 = 0;
    __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
    __Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;
    __Pyx_XDECREF(__pyx_t_30); __pyx_t_30 = 0;
    __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
    __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":755
 *                 loss_list.append(loss)
 * 
 *         except KeyboardInterrupt:             # <<<<<<<<<<<<<<
 *             self.__logger.debug("Interrupt.")
 * 
 */
    __pyx_t_18 = __Pyx_PyErr_ExceptionMatches(__pyx_builtin_KeyboardInterrupt);
    if (__pyx_t_18) {
      __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.learn_generated", __pyx_clineno, __pyx_lineno, __pyx_filename);
      if (__Pyx_GetException(&__pyx_t_1, &__pyx_t_12, &__pyx_t_30) < 0) __PYX_ERR(0, 755, __pyx_L6_except_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GOTREF(__pyx_t_12);
      __Pyx_GOTREF(__pyx_t_30);

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":756
 * 
 *         except KeyboardInterrupt:
 *             self.__logger.debug("Interrupt.")             # <<<<<<<<<<<<<<
 * 
 *         if eary_stop_flag is True:
 */
      __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__logger); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 756, __pyx_L6_except_error)
      __Pyx_GOTREF(__pyx_t_8);
      __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_debug); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 756, __pyx_L6_except_error)
      __Pyx_GOTREF(__pyx_t_14);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_14, __pyx_tuple__108, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 756, __pyx_L6_except_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
      __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
      goto __pyx_L5_exception_handled;
    }
    goto __pyx_L6_except_error;
    __pyx_L6_except_error:;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":588
 * 
 *         best_params_list = []
 *         try:             # <<<<<<<<<<<<<<
 *             self.__memory_tuple_list = []
 *             self.__opt_params.dropout_rate = self.__dropout_rate
 */
    __Pyx_XGIVEREF(__pyx_t_5);
    __Pyx_XGIVEREF(__pyx_t_6);
    __Pyx_XGIVEREF(__pyx_t_7);
    __Pyx_ExceptionReset(__pyx_t_5, __pyx_t_6, __pyx_t_7);
    goto __pyx_L1_error;
    __pyx_L5_exception_handled:;
    __Pyx_XGIVEREF(__pyx_t_5);
    __Pyx_XGIVEREF(__pyx_t_6);
    __Pyx_XGIVEREF(__pyx_t_7);
    __Pyx_ExceptionReset(__pyx_t_5, __pyx_t_6, __pyx_t_7);
    __pyx_L9_try_end:;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":758
 *             self.__logger.debug("Interrupt.")
 * 
 *         if eary_stop_flag is True:             # <<<<<<<<<<<<<<
 *             self.__logger.debug("Eary stopping.")
 *             eary_stop_flag = False
 */
  __pyx_t_29 = ((__pyx_v_eary_stop_flag == 1) != 0);
  if (__pyx_t_29) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":759
 * 
 *         if eary_stop_flag is True:
 *             self.__logger.debug("Eary stopping.")             # <<<<<<<<<<<<<<
 *             eary_stop_flag = False
 * 
 */
    __pyx_t_30 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__logger); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 759, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_30);
    __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_30, __pyx_n_s_debug); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 759, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_12);
    __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
    __pyx_t_30 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_tuple__109, NULL); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 759, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_30);
    __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
    __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":760
 *         if eary_stop_flag is True:
 *             self.__logger.debug("Eary stopping.")
 *             eary_stop_flag = False             # <<<<<<<<<<<<<<
 * 
 *         self.__remember_best_params(best_params_list)
 */
    __pyx_v_eary_stop_flag = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":758
 *             self.__logger.debug("Interrupt.")
 * 
 *         if eary_stop_flag is True:             # <<<<<<<<<<<<<<
 *             self.__logger.debug("Eary stopping.")
 *             eary_stop_flag = False
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":762
 *             eary_stop_flag = False
 * 
 *         self.__remember_best_params(best_params_list)             # <<<<<<<<<<<<<<
 *         self.__opt_params.inferencing_mode = True
 *         self.__logger.debug("end. ")
 */
  __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__remember_best_pa); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 762, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __pyx_t_1 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_12))) {
    __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_12);
    if (likely(__pyx_t_1)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_12);
      __Pyx_INCREF(__pyx_t_1);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_12, function);
    }
  }
  if (!__pyx_t_1) {
    __pyx_t_30 = __Pyx_PyObject_CallOneArg(__pyx_t_12, __pyx_v_best_params_list); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 762, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_30);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_12)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_v_best_params_list};
      __pyx_t_30 = __Pyx_PyFunction_FastCall(__pyx_t_12, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 762, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_30);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_12)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_v_best_params_list};
      __pyx_t_30 = __Pyx_PyCFunction_FastCall(__pyx_t_12, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 762, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_30);
    } else
    #endif
    {
      __pyx_t_8 = PyTuple_New(1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 762, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_1); __pyx_t_1 = NULL;
      __Pyx_INCREF(__pyx_v_best_params_list);
      __Pyx_GIVEREF(__pyx_v_best_params_list);
      PyTuple_SET_ITEM(__pyx_t_8, 0+1, __pyx_v_best_params_list);
      __pyx_t_30 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_t_8, NULL); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 762, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_30);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
  __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":763
 * 
 *         self.__remember_best_params(best_params_list)
 *         self.__opt_params.inferencing_mode = True             # <<<<<<<<<<<<<<
 *         self.__logger.debug("end. ")
 * 
 */
  __pyx_t_30 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 763, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_30);
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_30, __pyx_n_s_inferencing_mode, Py_True) < 0) __PYX_ERR(0, 763, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":764
 *         self.__remember_best_params(best_params_list)
 *         self.__opt_params.inferencing_mode = True
 *         self.__logger.debug("end. ")             # <<<<<<<<<<<<<<
 * 
 *     def __remember_best_params(self, best_params_list):
 */
  __pyx_t_30 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__logger); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 764, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_30);
  __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_30, __pyx_n_s_debug); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 764, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;
  __pyx_t_30 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_tuple__110, NULL); if (unlikely(!__pyx_t_30)) __PYX_ERR(0, 764, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_30);
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
  __Pyx_DECREF(__pyx_t_30); __pyx_t_30 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":555
 *         self.__logger.debug("end. ")
 * 
 *     def learn_generated(self, feature_generator):             # <<<<<<<<<<<<<<
 *         '''
 *         Learn features generated by `FeatureGenerator`.
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_XDECREF(__pyx_t_9);
  __Pyx_XDECREF(__pyx_t_12);
  __Pyx_XDECREF(__pyx_t_13);
  __Pyx_XDECREF(__pyx_t_14);
  __Pyx_XDECREF(__pyx_t_15);
  __Pyx_XDECREF(__pyx_t_26);
  __Pyx_XDECREF(__pyx_t_30);
  __Pyx_XDECREF(__pyx_t_31);
  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer);
  __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.learn_generated", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  goto __pyx_L2;
  __pyx_L0:;
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_batch_observed_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_test_pred_arr.rcbuffer->pybuffer);
  __pyx_L2:;
  __Pyx_XDECREF((PyObject *)__pyx_v_batch_observed_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_batch_target_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_pred_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_test_pred_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_arr);
  __Pyx_XDECREF(__pyx_v_best_params_list);
  __Pyx_XDECREF(__pyx_v_loss_list);
  __Pyx_XDECREF(__pyx_v_min_loss);
  __Pyx_XDECREF(__pyx_v_test_batch_observed_arr);
  __Pyx_XDECREF(__pyx_v_test_batch_target_arr);
  __Pyx_XDECREF(__pyx_v_ver_pred_arr);
  __Pyx_XDECREF(__pyx_v_train_weight_decay);
  __Pyx_XDECREF(__pyx_v__delta_arr);
  __Pyx_XDECREF(__pyx_v_grads_list);
  __Pyx_XDECREF(__pyx_v_test_weight_decay);
  __Pyx_XDECREF(__pyx_v_train_label_arr);
  __Pyx_XDECREF(__pyx_v_test_label_arr);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":766
 *         self.__logger.debug("end. ")
 * 
 *     def __remember_best_params(self, best_params_list):             # <<<<<<<<<<<<<<
 *         '''
 *         Remember best parameters.
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_11__remember_best_params(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_10__remember_best_params[] = "\n        Remember best parameters.\n        \n        Args:\n            best_params_list:    `list` of parameters.\n\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_11__remember_best_params = {"__remember_best_params", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_11__remember_best_params, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_10__remember_best_params};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_11__remember_best_params(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_best_params_list = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__remember_best_params (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_best_params_list,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_best_params_list)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__remember_best_params", 1, 2, 2, 1); __PYX_ERR(0, 766, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__remember_best_params") < 0)) __PYX_ERR(0, 766, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_best_params_list = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("__remember_best_params", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 766, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.__remember_best_params", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_10__remember_best_params(__pyx_self, __pyx_v_self, __pyx_v_best_params_list);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_10__remember_best_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_best_params_list) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  Py_ssize_t __pyx_t_1;
  int __pyx_t_2;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  __Pyx_RefNannySetupContext("__remember_best_params", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":774
 * 
 *         '''
 *         if len(best_params_list) > 0:             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.weight_arr = best_params_list[0]
 *             self.__input_conv.graph.weight_arr = best_params_list[1]
 */
  __pyx_t_1 = PyObject_Length(__pyx_v_best_params_list); if (unlikely(__pyx_t_1 == ((Py_ssize_t)-1))) __PYX_ERR(0, 774, __pyx_L1_error)
  __pyx_t_2 = ((__pyx_t_1 > 0) != 0);
  if (__pyx_t_2) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":775
 *         '''
 *         if len(best_params_list) > 0:
 *             self.__given_conv.graph.weight_arr = best_params_list[0]             # <<<<<<<<<<<<<<
 *             self.__input_conv.graph.weight_arr = best_params_list[1]
 *             self.__forgot_conv.graph.weight_arr = best_params_list[2]
 */
    __pyx_t_3 = __Pyx_GetItemInt(__pyx_v_best_params_list, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 775, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 775, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 775, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_5, __pyx_n_s_weight_arr, __pyx_t_3) < 0) __PYX_ERR(0, 775, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":776
 *         if len(best_params_list) > 0:
 *             self.__given_conv.graph.weight_arr = best_params_list[0]
 *             self.__input_conv.graph.weight_arr = best_params_list[1]             # <<<<<<<<<<<<<<
 *             self.__forgot_conv.graph.weight_arr = best_params_list[2]
 *             self.__output_conv.graph.weight_arr = best_params_list[3]
 */
    __pyx_t_5 = __Pyx_GetItemInt(__pyx_v_best_params_list, 1, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 776, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 776, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 776, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_4, __pyx_n_s_weight_arr, __pyx_t_5) < 0) __PYX_ERR(0, 776, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":777
 *             self.__given_conv.graph.weight_arr = best_params_list[0]
 *             self.__input_conv.graph.weight_arr = best_params_list[1]
 *             self.__forgot_conv.graph.weight_arr = best_params_list[2]             # <<<<<<<<<<<<<<
 *             self.__output_conv.graph.weight_arr = best_params_list[3]
 *             self.__given_conv.graph.bias_arr = best_params_list[4]
 */
    __pyx_t_4 = __Pyx_GetItemInt(__pyx_v_best_params_list, 2, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 777, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 777, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 777, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_3, __pyx_n_s_weight_arr, __pyx_t_4) < 0) __PYX_ERR(0, 777, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":778
 *             self.__input_conv.graph.weight_arr = best_params_list[1]
 *             self.__forgot_conv.graph.weight_arr = best_params_list[2]
 *             self.__output_conv.graph.weight_arr = best_params_list[3]             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.bias_arr = best_params_list[4]
 *             self.__input_conv.graph.bias_arr = best_params_list[5]
 */
    __pyx_t_3 = __Pyx_GetItemInt(__pyx_v_best_params_list, 3, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 778, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 778, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 778, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_5, __pyx_n_s_weight_arr, __pyx_t_3) < 0) __PYX_ERR(0, 778, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":779
 *             self.__forgot_conv.graph.weight_arr = best_params_list[2]
 *             self.__output_conv.graph.weight_arr = best_params_list[3]
 *             self.__given_conv.graph.bias_arr = best_params_list[4]             # <<<<<<<<<<<<<<
 *             self.__input_conv.graph.bias_arr = best_params_list[5]
 *             self.__forgot_conv.graph.bias_arr = best_params_list[6]
 */
    __pyx_t_5 = __Pyx_GetItemInt(__pyx_v_best_params_list, 4, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 779, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 779, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 779, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_4, __pyx_n_s_bias_arr, __pyx_t_5) < 0) __PYX_ERR(0, 779, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":780
 *             self.__output_conv.graph.weight_arr = best_params_list[3]
 *             self.__given_conv.graph.bias_arr = best_params_list[4]
 *             self.__input_conv.graph.bias_arr = best_params_list[5]             # <<<<<<<<<<<<<<
 *             self.__forgot_conv.graph.bias_arr = best_params_list[6]
 *             self.__output_conv.graph.bias_arr = best_params_list[7]
 */
    __pyx_t_4 = __Pyx_GetItemInt(__pyx_v_best_params_list, 5, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 780, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 780, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 780, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_3, __pyx_n_s_bias_arr, __pyx_t_4) < 0) __PYX_ERR(0, 780, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":781
 *             self.__given_conv.graph.bias_arr = best_params_list[4]
 *             self.__input_conv.graph.bias_arr = best_params_list[5]
 *             self.__forgot_conv.graph.bias_arr = best_params_list[6]             # <<<<<<<<<<<<<<
 *             self.__output_conv.graph.bias_arr = best_params_list[7]
 *             self.__logger.debug("Best params are saved.")
 */
    __pyx_t_3 = __Pyx_GetItemInt(__pyx_v_best_params_list, 6, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 781, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 781, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 781, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_5, __pyx_n_s_bias_arr, __pyx_t_3) < 0) __PYX_ERR(0, 781, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":782
 *             self.__input_conv.graph.bias_arr = best_params_list[5]
 *             self.__forgot_conv.graph.bias_arr = best_params_list[6]
 *             self.__output_conv.graph.bias_arr = best_params_list[7]             # <<<<<<<<<<<<<<
 *             self.__logger.debug("Best params are saved.")
 * 
 */
    __pyx_t_5 = __Pyx_GetItemInt(__pyx_v_best_params_list, 7, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 782, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 782, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 782, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_4, __pyx_n_s_bias_arr, __pyx_t_5) < 0) __PYX_ERR(0, 782, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":783
 *             self.__forgot_conv.graph.bias_arr = best_params_list[6]
 *             self.__output_conv.graph.bias_arr = best_params_list[7]
 *             self.__logger.debug("Best params are saved.")             # <<<<<<<<<<<<<<
 * 
 *     def forward_propagation(self, np.ndarray batch_observed_arr):
 */
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__logger); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 783, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_debug); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 783, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_tuple__111, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 783, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":774
 * 
 *         '''
 *         if len(best_params_list) > 0:             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.weight_arr = best_params_list[0]
 *             self.__input_conv.graph.weight_arr = best_params_list[1]
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":766
 *         self.__logger.debug("end. ")
 * 
 *     def __remember_best_params(self, best_params_list):             # <<<<<<<<<<<<<<
 *         '''
 *         Remember best parameters.
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.__remember_best_params", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":785
 *             self.__logger.debug("Best params are saved.")
 * 
 *     def forward_propagation(self, np.ndarray batch_observed_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Forward propagation.
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_13forward_propagation(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_12forward_propagation[] = "\n        Forward propagation.\n        \n        Args:\n            batch_observed_arr:    Array like or sparse matrix as the observed data points.\n        \n        Returns:\n            Array like or sparse matrix as the predicted data points.\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_13forward_propagation = {"forward_propagation", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_13forward_propagation, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_12forward_propagation};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_13forward_propagation(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyArrayObject *__pyx_v_batch_observed_arr = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("forward_propagation (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_batch_observed_arr,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_batch_observed_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("forward_propagation", 1, 2, 2, 1); __PYX_ERR(0, 785, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "forward_propagation") < 0)) __PYX_ERR(0, 785, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_batch_observed_arr = ((PyArrayObject *)values[1]);
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("forward_propagation", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 785, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.forward_propagation", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_batch_observed_arr), __pyx_ptype_5numpy_ndarray, 1, "batch_observed_arr", 0))) __PYX_ERR(0, 785, __pyx_L1_error)
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_12forward_propagation(__pyx_self, __pyx_v_self, __pyx_v_batch_observed_arr);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_12forward_propagation(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_batch_observed_arr) {
  PyArrayObject *__pyx_v_hidden_activity_arr = 0;
  PyArrayObject *__pyx_v_arr = 0;
  PyArrayObject *__pyx_v_pred_arr = 0;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_arr;
  __Pyx_Buffer __pyx_pybuffer_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_hidden_activity_arr;
  __Pyx_Buffer __pyx_pybuffer_hidden_activity_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_pred_arr;
  __Pyx_Buffer __pyx_pybuffer_pred_arr;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyArrayObject *__pyx_t_7 = NULL;
  int __pyx_t_8;
  PyArrayObject *__pyx_t_9 = NULL;
  int __pyx_t_10;
  PyObject *__pyx_t_11 = NULL;
  PyObject *__pyx_t_12 = NULL;
  PyObject *__pyx_t_13 = NULL;
  PyObject *__pyx_t_14 = NULL;
  PyObject *__pyx_t_15 = NULL;
  PyArrayObject *__pyx_t_16 = NULL;
  __Pyx_RefNannySetupContext("forward_propagation", 0);
  __pyx_pybuffer_hidden_activity_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_hidden_activity_arr.refcount = 0;
  __pyx_pybuffernd_hidden_activity_arr.data = NULL;
  __pyx_pybuffernd_hidden_activity_arr.rcbuffer = &__pyx_pybuffer_hidden_activity_arr;
  __pyx_pybuffer_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_arr.refcount = 0;
  __pyx_pybuffernd_arr.data = NULL;
  __pyx_pybuffernd_arr.rcbuffer = &__pyx_pybuffer_arr;
  __pyx_pybuffer_pred_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_pred_arr.refcount = 0;
  __pyx_pybuffernd_pred_arr.data = NULL;
  __pyx_pybuffernd_pred_arr.rcbuffer = &__pyx_pybuffer_pred_arr;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":795
 *             Array like or sparse matrix as the predicted data points.
 *         '''
 *         self.weight_decay_term = 0.0             # <<<<<<<<<<<<<<
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(
 *             self.__given_conv.graph.weight_arr
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term, __pyx_float_0_0) < 0) __PYX_ERR(0, 795, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":796
 *         '''
 *         self.weight_decay_term = 0.0
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.weight_arr
 *         )
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 796, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 796, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_compute_weight_decay); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 796, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":797
 *         self.weight_decay_term = 0.0
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(
 *             self.__given_conv.graph.weight_arr             # <<<<<<<<<<<<<<
 *         )
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 797, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 797, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 797, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
    }
  }
  if (!__pyx_t_5) {
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 796, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_GOTREF(__pyx_t_2);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_4)) {
      PyObject *__pyx_temp[2] = {__pyx_t_5, __pyx_t_3};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 796, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
      PyObject *__pyx_temp[2] = {__pyx_t_5, __pyx_t_3};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 796, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    } else
    #endif
    {
      __pyx_t_6 = PyTuple_New(1+1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 796, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_5); __pyx_t_5 = NULL;
      __Pyx_GIVEREF(__pyx_t_3);
      PyTuple_SET_ITEM(__pyx_t_6, 0+1, __pyx_t_3);
      __pyx_t_3 = 0;
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_6, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 796, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":796
 *         '''
 *         self.weight_decay_term = 0.0
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.weight_arr
 *         )
 */
  __pyx_t_4 = PyNumber_InPlaceAdd(__pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 796, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term, __pyx_t_4) < 0) __PYX_ERR(0, 796, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":799
 *             self.__given_conv.graph.weight_arr
 *         )
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(             # <<<<<<<<<<<<<<
 *             self.__input_conv.graph.weight_arr
 *         )
 */
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 799, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 799, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_compute_weight_decay); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 799, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":800
 *         )
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(
 *             self.__input_conv.graph.weight_arr             # <<<<<<<<<<<<<<
 *         )
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 800, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_graph); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 800, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 800, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_3 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) {
    __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_6);
    if (likely(__pyx_t_3)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);
      __Pyx_INCREF(__pyx_t_3);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_6, function);
    }
  }
  if (!__pyx_t_3) {
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 799, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_GOTREF(__pyx_t_2);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_6)) {
      PyObject *__pyx_temp[2] = {__pyx_t_3, __pyx_t_1};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 799, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) {
      PyObject *__pyx_temp[2] = {__pyx_t_3, __pyx_t_1};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 799, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    {
      __pyx_t_5 = PyTuple_New(1+1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 799, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_3); __pyx_t_3 = NULL;
      __Pyx_GIVEREF(__pyx_t_1);
      PyTuple_SET_ITEM(__pyx_t_5, 0+1, __pyx_t_1);
      __pyx_t_1 = 0;
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_5, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 799, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":799
 *             self.__given_conv.graph.weight_arr
 *         )
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(             # <<<<<<<<<<<<<<
 *             self.__input_conv.graph.weight_arr
 *         )
 */
  __pyx_t_6 = PyNumber_InPlaceAdd(__pyx_t_4, __pyx_t_2); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 799, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term, __pyx_t_6) < 0) __PYX_ERR(0, 799, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":802
 *             self.__input_conv.graph.weight_arr
 *         )
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(             # <<<<<<<<<<<<<<
 *             self.__forgot_conv.graph.weight_arr
 *         )
 */
  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 802, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 802, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_compute_weight_decay); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 802, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":803
 *         )
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(
 *             self.__forgot_conv.graph.weight_arr             # <<<<<<<<<<<<<<
 *         )
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(
 */
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 803, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 803, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 803, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_1)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_1);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  if (!__pyx_t_1) {
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_4); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 802, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __Pyx_GOTREF(__pyx_t_2);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_4};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 802, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_4};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 802, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    } else
    #endif
    {
      __pyx_t_3 = PyTuple_New(1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 802, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_1); __pyx_t_1 = NULL;
      __Pyx_GIVEREF(__pyx_t_4);
      PyTuple_SET_ITEM(__pyx_t_3, 0+1, __pyx_t_4);
      __pyx_t_4 = 0;
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_3, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 802, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":802
 *             self.__input_conv.graph.weight_arr
 *         )
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(             # <<<<<<<<<<<<<<
 *             self.__forgot_conv.graph.weight_arr
 *         )
 */
  __pyx_t_5 = PyNumber_InPlaceAdd(__pyx_t_6, __pyx_t_2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 802, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term, __pyx_t_5) < 0) __PYX_ERR(0, 802, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":805
 *             self.__forgot_conv.graph.weight_arr
 *         )
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(             # <<<<<<<<<<<<<<
 *             self.__output_conv.graph.weight_arr
 *         )
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 805, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 805, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_compute_weight_decay); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 805, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":806
 *         )
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(
 *             self.__output_conv.graph.weight_arr             # <<<<<<<<<<<<<<
 *         )
 * 
 */
  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 806, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 806, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 806, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_3);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_3, function);
    }
  }
  if (!__pyx_t_4) {
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 805, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_GOTREF(__pyx_t_2);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_3)) {
      PyObject *__pyx_temp[2] = {__pyx_t_4, __pyx_t_6};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 805, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) {
      PyObject *__pyx_temp[2] = {__pyx_t_4, __pyx_t_6};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 805, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    } else
    #endif
    {
      __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 805, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_4); __pyx_t_4 = NULL;
      __Pyx_GIVEREF(__pyx_t_6);
      PyTuple_SET_ITEM(__pyx_t_1, 0+1, __pyx_t_6);
      __pyx_t_6 = 0;
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_1, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 805, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":805
 *             self.__forgot_conv.graph.weight_arr
 *         )
 *         self.weight_decay_term += self.__opt_params.compute_weight_decay(             # <<<<<<<<<<<<<<
 *             self.__output_conv.graph.weight_arr
 *         )
 */
  __pyx_t_3 = PyNumber_InPlaceAdd(__pyx_t_5, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 805, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_weight_decay_term, __pyx_t_3) < 0) __PYX_ERR(0, 805, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":809
 *         )
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=5] hidden_activity_arr = self.hidden_forward_propagate(             # <<<<<<<<<<<<<<
 *             batch_observed_arr
 *         )
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_hidden_forward_propagate); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 809, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":810
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=5] hidden_activity_arr = self.hidden_forward_propagate(
 *             batch_observed_arr             # <<<<<<<<<<<<<<
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=2] arr
 */
  __pyx_t_5 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_5)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_5);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  if (!__pyx_t_5) {
    __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_2, ((PyObject *)__pyx_v_batch_observed_arr)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 809, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[2] = {__pyx_t_5, ((PyObject *)__pyx_v_batch_observed_arr)};
      __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 809, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
      __Pyx_GOTREF(__pyx_t_3);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[2] = {__pyx_t_5, ((PyObject *)__pyx_v_batch_observed_arr)};
      __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 809, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
      __Pyx_GOTREF(__pyx_t_3);
    } else
    #endif
    {
      __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 809, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_5); __pyx_t_5 = NULL;
      __Pyx_INCREF(((PyObject *)__pyx_v_batch_observed_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_batch_observed_arr));
      PyTuple_SET_ITEM(__pyx_t_1, 0+1, ((PyObject *)__pyx_v_batch_observed_arr));
      __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_1, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 809, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":809
 *         )
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=5] hidden_activity_arr = self.hidden_forward_propagate(             # <<<<<<<<<<<<<<
 *             batch_observed_arr
 *         )
 */
  if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 809, __pyx_L1_error)
  __pyx_t_7 = ((PyArrayObject *)__pyx_t_3);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_7, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) {
      __pyx_v_hidden_activity_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 809, __pyx_L1_error)
    } else {__pyx_pybuffernd_hidden_activity_arr.diminfo[0].strides = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_hidden_activity_arr.diminfo[0].shape = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_hidden_activity_arr.diminfo[1].strides = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_hidden_activity_arr.diminfo[1].shape = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_hidden_activity_arr.diminfo[2].strides = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_hidden_activity_arr.diminfo[2].shape = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_hidden_activity_arr.diminfo[3].strides = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_hidden_activity_arr.diminfo[3].shape = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_hidden_activity_arr.diminfo[4].strides = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_hidden_activity_arr.diminfo[4].shape = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.shape[4];
    }
  }
  __pyx_t_7 = 0;
  __pyx_v_hidden_activity_arr = ((PyArrayObject *)__pyx_t_3);
  __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":813
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=2] arr
 *         if self.__opt_params.dropout_rate > 0:             # <<<<<<<<<<<<<<
 *             arr = hidden_activity_arr.reshape((
 *                 hidden_activity_arr.shape[0],
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 813, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_dropout_rate); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 813, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_3 = PyObject_RichCompare(__pyx_t_2, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 813, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_8 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_8 < 0)) __PYX_ERR(0, 813, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (__pyx_t_8) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":814
 *         cdef np.ndarray[DOUBLE_t, ndim=2] arr
 *         if self.__opt_params.dropout_rate > 0:
 *             arr = hidden_activity_arr.reshape((             # <<<<<<<<<<<<<<
 *                 hidden_activity_arr.shape[0],
 *                 -1
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_hidden_activity_arr), __pyx_n_s_reshape); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 814, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":815
 *         if self.__opt_params.dropout_rate > 0:
 *             arr = hidden_activity_arr.reshape((
 *                 hidden_activity_arr.shape[0],             # <<<<<<<<<<<<<<
 *                 -1
 *             ))
 */
    __pyx_t_1 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_hidden_activity_arr->dimensions[0])); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 815, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_5 = PyTuple_New(2); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 815, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_GIVEREF(__pyx_t_1);
    PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1);
    __Pyx_INCREF(__pyx_int_neg_1);
    __Pyx_GIVEREF(__pyx_int_neg_1);
    PyTuple_SET_ITEM(__pyx_t_5, 1, __pyx_int_neg_1);
    __pyx_t_1 = 0;
    __pyx_t_1 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
      __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_2);
      if (likely(__pyx_t_1)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
        __Pyx_INCREF(__pyx_t_1);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_2, function);
      }
    }
    if (!__pyx_t_1) {
      __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_5); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 814, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      __Pyx_GOTREF(__pyx_t_3);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_2)) {
        PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_5};
        __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 814, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
        PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_5};
        __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 814, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      } else
      #endif
      {
        __pyx_t_6 = PyTuple_New(1+1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 814, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_6);
        __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_1); __pyx_t_1 = NULL;
        __Pyx_GIVEREF(__pyx_t_5);
        PyTuple_SET_ITEM(__pyx_t_6, 0+1, __pyx_t_5);
        __pyx_t_5 = 0;
        __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_6, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 814, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":814
 *         cdef np.ndarray[DOUBLE_t, ndim=2] arr
 *         if self.__opt_params.dropout_rate > 0:
 *             arr = hidden_activity_arr.reshape((             # <<<<<<<<<<<<<<
 *                 hidden_activity_arr.shape[0],
 *                 -1
 */
    if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 814, __pyx_L1_error)
    __pyx_t_9 = ((PyArrayObject *)__pyx_t_3);
    {
      __Pyx_BufFmt_StackElem __pyx_stack[1];
      __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_arr.rcbuffer->pybuffer);
      __pyx_t_10 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_9, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack);
      if (unlikely(__pyx_t_10 < 0)) {
        PyErr_Fetch(&__pyx_t_11, &__pyx_t_12, &__pyx_t_13);
        if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) {
          Py_XDECREF(__pyx_t_11); Py_XDECREF(__pyx_t_12); Py_XDECREF(__pyx_t_13);
          __Pyx_RaiseBufferFallbackError();
        } else {
          PyErr_Restore(__pyx_t_11, __pyx_t_12, __pyx_t_13);
        }
        __pyx_t_11 = __pyx_t_12 = __pyx_t_13 = 0;
      }
      __pyx_pybuffernd_arr.diminfo[0].strides = __pyx_pybuffernd_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_arr.diminfo[0].shape = __pyx_pybuffernd_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_arr.diminfo[1].strides = __pyx_pybuffernd_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_arr.diminfo[1].shape = __pyx_pybuffernd_arr.rcbuffer->pybuffer.shape[1];
      if (unlikely(__pyx_t_10 < 0)) __PYX_ERR(0, 814, __pyx_L1_error)
    }
    __pyx_t_9 = 0;
    __pyx_v_arr = ((PyArrayObject *)__pyx_t_3);
    __pyx_t_3 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":818
 *                 -1
 *             ))
 *             arr = self.__opt_params.dropout(arr)             # <<<<<<<<<<<<<<
 *             hidden_activity_arr = arr.reshape((
 *                 hidden_activity_arr.shape[0],
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 818, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_dropout); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 818, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) {
      __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_6);
      if (likely(__pyx_t_2)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);
        __Pyx_INCREF(__pyx_t_2);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_6, function);
      }
    }
    if (!__pyx_t_2) {
      __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_6, ((PyObject *)__pyx_v_arr)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 818, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_6)) {
        PyObject *__pyx_temp[2] = {__pyx_t_2, ((PyObject *)__pyx_v_arr)};
        __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 818, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
        __Pyx_GOTREF(__pyx_t_3);
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) {
        PyObject *__pyx_temp[2] = {__pyx_t_2, ((PyObject *)__pyx_v_arr)};
        __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 818, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
        __Pyx_GOTREF(__pyx_t_3);
      } else
      #endif
      {
        __pyx_t_5 = PyTuple_New(1+1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 818, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_5);
        __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_2); __pyx_t_2 = NULL;
        __Pyx_INCREF(((PyObject *)__pyx_v_arr));
        __Pyx_GIVEREF(((PyObject *)__pyx_v_arr));
        PyTuple_SET_ITEM(__pyx_t_5, 0+1, ((PyObject *)__pyx_v_arr));
        __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_5, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 818, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 818, __pyx_L1_error)
    __pyx_t_9 = ((PyArrayObject *)__pyx_t_3);
    {
      __Pyx_BufFmt_StackElem __pyx_stack[1];
      __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_arr.rcbuffer->pybuffer);
      __pyx_t_10 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_9, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack);
      if (unlikely(__pyx_t_10 < 0)) {
        PyErr_Fetch(&__pyx_t_13, &__pyx_t_12, &__pyx_t_11);
        if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) {
          Py_XDECREF(__pyx_t_13); Py_XDECREF(__pyx_t_12); Py_XDECREF(__pyx_t_11);
          __Pyx_RaiseBufferFallbackError();
        } else {
          PyErr_Restore(__pyx_t_13, __pyx_t_12, __pyx_t_11);
        }
        __pyx_t_13 = __pyx_t_12 = __pyx_t_11 = 0;
      }
      __pyx_pybuffernd_arr.diminfo[0].strides = __pyx_pybuffernd_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_arr.diminfo[0].shape = __pyx_pybuffernd_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_arr.diminfo[1].strides = __pyx_pybuffernd_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_arr.diminfo[1].shape = __pyx_pybuffernd_arr.rcbuffer->pybuffer.shape[1];
      if (unlikely(__pyx_t_10 < 0)) __PYX_ERR(0, 818, __pyx_L1_error)
    }
    __pyx_t_9 = 0;
    __Pyx_DECREF_SET(__pyx_v_arr, ((PyArrayObject *)__pyx_t_3));
    __pyx_t_3 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":819
 *             ))
 *             arr = self.__opt_params.dropout(arr)
 *             hidden_activity_arr = arr.reshape((             # <<<<<<<<<<<<<<
 *                 hidden_activity_arr.shape[0],
 *                 hidden_activity_arr.shape[1],
 */
    __pyx_t_6 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_arr), __pyx_n_s_reshape); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 819, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":820
 *             arr = self.__opt_params.dropout(arr)
 *             hidden_activity_arr = arr.reshape((
 *                 hidden_activity_arr.shape[0],             # <<<<<<<<<<<<<<
 *                 hidden_activity_arr.shape[1],
 *                 hidden_activity_arr.shape[2],
 */
    __pyx_t_5 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_hidden_activity_arr->dimensions[0])); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 820, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":821
 *             hidden_activity_arr = arr.reshape((
 *                 hidden_activity_arr.shape[0],
 *                 hidden_activity_arr.shape[1],             # <<<<<<<<<<<<<<
 *                 hidden_activity_arr.shape[2],
 *                 hidden_activity_arr.shape[3],
 */
    __pyx_t_2 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_hidden_activity_arr->dimensions[1])); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 821, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":822
 *                 hidden_activity_arr.shape[0],
 *                 hidden_activity_arr.shape[1],
 *                 hidden_activity_arr.shape[2],             # <<<<<<<<<<<<<<
 *                 hidden_activity_arr.shape[3],
 *                 hidden_activity_arr.shape[4]
 */
    __pyx_t_1 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_hidden_activity_arr->dimensions[2])); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 822, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":823
 *                 hidden_activity_arr.shape[1],
 *                 hidden_activity_arr.shape[2],
 *                 hidden_activity_arr.shape[3],             # <<<<<<<<<<<<<<
 *                 hidden_activity_arr.shape[4]
 *             ))
 */
    __pyx_t_4 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_hidden_activity_arr->dimensions[3])); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 823, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":824
 *                 hidden_activity_arr.shape[2],
 *                 hidden_activity_arr.shape[3],
 *                 hidden_activity_arr.shape[4]             # <<<<<<<<<<<<<<
 *             ))
 * 
 */
    __pyx_t_14 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_hidden_activity_arr->dimensions[4])); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 824, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_14);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":820
 *             arr = self.__opt_params.dropout(arr)
 *             hidden_activity_arr = arr.reshape((
 *                 hidden_activity_arr.shape[0],             # <<<<<<<<<<<<<<
 *                 hidden_activity_arr.shape[1],
 *                 hidden_activity_arr.shape[2],
 */
    __pyx_t_15 = PyTuple_New(5); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 820, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_15);
    __Pyx_GIVEREF(__pyx_t_5);
    PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_5);
    __Pyx_GIVEREF(__pyx_t_2);
    PyTuple_SET_ITEM(__pyx_t_15, 1, __pyx_t_2);
    __Pyx_GIVEREF(__pyx_t_1);
    PyTuple_SET_ITEM(__pyx_t_15, 2, __pyx_t_1);
    __Pyx_GIVEREF(__pyx_t_4);
    PyTuple_SET_ITEM(__pyx_t_15, 3, __pyx_t_4);
    __Pyx_GIVEREF(__pyx_t_14);
    PyTuple_SET_ITEM(__pyx_t_15, 4, __pyx_t_14);
    __pyx_t_5 = 0;
    __pyx_t_2 = 0;
    __pyx_t_1 = 0;
    __pyx_t_4 = 0;
    __pyx_t_14 = 0;
    __pyx_t_14 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) {
      __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_6);
      if (likely(__pyx_t_14)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);
        __Pyx_INCREF(__pyx_t_14);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_6, function);
      }
    }
    if (!__pyx_t_14) {
      __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_6, __pyx_t_15); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 819, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
      __Pyx_GOTREF(__pyx_t_3);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_6)) {
        PyObject *__pyx_temp[2] = {__pyx_t_14, __pyx_t_15};
        __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 819, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) {
        PyObject *__pyx_temp[2] = {__pyx_t_14, __pyx_t_15};
        __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 819, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
      } else
      #endif
      {
        __pyx_t_4 = PyTuple_New(1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 819, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __Pyx_GIVEREF(__pyx_t_14); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_14); __pyx_t_14 = NULL;
        __Pyx_GIVEREF(__pyx_t_15);
        PyTuple_SET_ITEM(__pyx_t_4, 0+1, __pyx_t_15);
        __pyx_t_15 = 0;
        __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_4, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 819, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":819
 *             ))
 *             arr = self.__opt_params.dropout(arr)
 *             hidden_activity_arr = arr.reshape((             # <<<<<<<<<<<<<<
 *                 hidden_activity_arr.shape[0],
 *                 hidden_activity_arr.shape[1],
 */
    if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 819, __pyx_L1_error)
    __pyx_t_7 = ((PyArrayObject *)__pyx_t_3);
    {
      __Pyx_BufFmt_StackElem __pyx_stack[1];
      __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer);
      __pyx_t_10 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_7, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack);
      if (unlikely(__pyx_t_10 < 0)) {
        PyErr_Fetch(&__pyx_t_11, &__pyx_t_12, &__pyx_t_13);
        if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_hidden_activity_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) {
          Py_XDECREF(__pyx_t_11); Py_XDECREF(__pyx_t_12); Py_XDECREF(__pyx_t_13);
          __Pyx_RaiseBufferFallbackError();
        } else {
          PyErr_Restore(__pyx_t_11, __pyx_t_12, __pyx_t_13);
        }
        __pyx_t_11 = __pyx_t_12 = __pyx_t_13 = 0;
      }
      __pyx_pybuffernd_hidden_activity_arr.diminfo[0].strides = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_hidden_activity_arr.diminfo[0].shape = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_hidden_activity_arr.diminfo[1].strides = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_hidden_activity_arr.diminfo[1].shape = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_hidden_activity_arr.diminfo[2].strides = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_hidden_activity_arr.diminfo[2].shape = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_hidden_activity_arr.diminfo[3].strides = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_hidden_activity_arr.diminfo[3].shape = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_hidden_activity_arr.diminfo[4].strides = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_hidden_activity_arr.diminfo[4].shape = __pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer.shape[4];
      if (unlikely(__pyx_t_10 < 0)) __PYX_ERR(0, 819, __pyx_L1_error)
    }
    __pyx_t_7 = 0;
    __Pyx_DECREF_SET(__pyx_v_hidden_activity_arr, ((PyArrayObject *)__pyx_t_3));
    __pyx_t_3 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":813
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=2] arr
 *         if self.__opt_params.dropout_rate > 0:             # <<<<<<<<<<<<<<
 *             arr = hidden_activity_arr.reshape((
 *                 hidden_activity_arr.shape[0],
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":827
 *             ))
 * 
 *         self.graph.hidden_activity_arr = hidden_activity_arr             # <<<<<<<<<<<<<<
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=5] pred_arr = self.output_forward_propagate(
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 827, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_3, __pyx_n_s_hidden_activity_arr, ((PyObject *)__pyx_v_hidden_activity_arr)) < 0) __PYX_ERR(0, 827, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":829
 *         self.graph.hidden_activity_arr = hidden_activity_arr
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=5] pred_arr = self.output_forward_propagate(             # <<<<<<<<<<<<<<
 *             hidden_activity_arr
 *         )
 */
  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_output_forward_propagate); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 829, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":830
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=5] pred_arr = self.output_forward_propagate(
 *             hidden_activity_arr             # <<<<<<<<<<<<<<
 *         )
 *         return pred_arr
 */
  __pyx_t_4 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_6);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_6, function);
    }
  }
  if (!__pyx_t_4) {
    __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_6, ((PyObject *)__pyx_v_hidden_activity_arr)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 829, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_6)) {
      PyObject *__pyx_temp[2] = {__pyx_t_4, ((PyObject *)__pyx_v_hidden_activity_arr)};
      __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 829, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
      __Pyx_GOTREF(__pyx_t_3);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) {
      PyObject *__pyx_temp[2] = {__pyx_t_4, ((PyObject *)__pyx_v_hidden_activity_arr)};
      __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 829, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
      __Pyx_GOTREF(__pyx_t_3);
    } else
    #endif
    {
      __pyx_t_15 = PyTuple_New(1+1); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 829, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_15);
      __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_4); __pyx_t_4 = NULL;
      __Pyx_INCREF(((PyObject *)__pyx_v_hidden_activity_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_hidden_activity_arr));
      PyTuple_SET_ITEM(__pyx_t_15, 0+1, ((PyObject *)__pyx_v_hidden_activity_arr));
      __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_15, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 829, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":829
 *         self.graph.hidden_activity_arr = hidden_activity_arr
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=5] pred_arr = self.output_forward_propagate(             # <<<<<<<<<<<<<<
 *             hidden_activity_arr
 *         )
 */
  if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 829, __pyx_L1_error)
  __pyx_t_16 = ((PyArrayObject *)__pyx_t_3);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_16, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) {
      __pyx_v_pred_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 829, __pyx_L1_error)
    } else {__pyx_pybuffernd_pred_arr.diminfo[0].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_pred_arr.diminfo[0].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_pred_arr.diminfo[1].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_pred_arr.diminfo[1].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_pred_arr.diminfo[2].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_pred_arr.diminfo[2].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_pred_arr.diminfo[3].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_pred_arr.diminfo[3].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_pred_arr.diminfo[4].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_pred_arr.diminfo[4].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[4];
    }
  }
  __pyx_t_16 = 0;
  __pyx_v_pred_arr = ((PyArrayObject *)__pyx_t_3);
  __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":832
 *             hidden_activity_arr
 *         )
 *         return pred_arr             # <<<<<<<<<<<<<<
 * 
 *     def back_propagation(
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
  __pyx_r = ((PyObject *)__pyx_v_pred_arr);
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":785
 *             self.__logger.debug("Best params are saved.")
 * 
 *     def forward_propagation(self, np.ndarray batch_observed_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Forward propagation.
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_14);
  __Pyx_XDECREF(__pyx_t_15);
  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer);
  __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.forward_propagation", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  goto __pyx_L2;
  __pyx_L0:;
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_hidden_activity_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer);
  __pyx_L2:;
  __Pyx_XDECREF((PyObject *)__pyx_v_hidden_activity_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_pred_arr);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":834
 *         return pred_arr
 * 
 *     def back_propagation(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray pred_arr,
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_15back_propagation(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_14back_propagation[] = "\n        Back propagation.\n\n        Args:\n            pred_arr:            `np.ndarray` of predicted data points.\n            delta_output_arr:    Delta.\n        \n        Returns:\n            Tuple data.\n            - `np.ndarray` of Delta, \n            - `list` of gradations.\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_15back_propagation = {"back_propagation", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_15back_propagation, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_14back_propagation};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_15back_propagation(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyArrayObject *__pyx_v_pred_arr = 0;
  PyArrayObject *__pyx_v_delta_arr = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("back_propagation (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_pred_arr,&__pyx_n_s_delta_arr,0};
    PyObject* values[3] = {0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pred_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("back_propagation", 1, 3, 3, 1); __PYX_ERR(0, 834, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_delta_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("back_propagation", 1, 3, 3, 2); __PYX_ERR(0, 834, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "back_propagation") < 0)) __PYX_ERR(0, 834, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 3) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
    }
    __pyx_v_self = values[0];
    __pyx_v_pred_arr = ((PyArrayObject *)values[1]);
    __pyx_v_delta_arr = ((PyArrayObject *)values[2]);
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("back_propagation", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 834, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.back_propagation", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_pred_arr), __pyx_ptype_5numpy_ndarray, 1, "pred_arr", 0))) __PYX_ERR(0, 836, __pyx_L1_error)
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_delta_arr), __pyx_ptype_5numpy_ndarray, 1, "delta_arr", 0))) __PYX_ERR(0, 837, __pyx_L1_error)
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_14back_propagation(__pyx_self, __pyx_v_self, __pyx_v_pred_arr, __pyx_v_delta_arr);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_14back_propagation(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_pred_arr, PyArrayObject *__pyx_v_delta_arr) {
  PyObject *__pyx_v_grads_list = NULL;
  PyArrayObject *__pyx_v_arr = 0;
  CYTHON_UNUSED PyObject *__pyx_v_delta_hidden_arr = NULL;
  CYTHON_UNUSED PyObject *__pyx_v__ = NULL;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_arr;
  __Pyx_Buffer __pyx_pybuffer_arr;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  int __pyx_t_4;
  PyObject *__pyx_t_5 = NULL;
  PyObject *(*__pyx_t_6)(PyObject *);
  int __pyx_t_7;
  PyObject *__pyx_t_8 = NULL;
  PyArrayObject *__pyx_t_9 = NULL;
  PyObject *__pyx_t_10 = NULL;
  PyObject *__pyx_t_11 = NULL;
  PyObject *__pyx_t_12 = NULL;
  PyObject *__pyx_t_13 = NULL;
  PyObject *__pyx_t_14 = NULL;
  PyObject *__pyx_t_15 = NULL;
  __Pyx_RefNannySetupContext("back_propagation", 0);
  __Pyx_INCREF((PyObject *)__pyx_v_delta_arr);
  __pyx_pybuffer_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_arr.refcount = 0;
  __pyx_pybuffernd_arr.data = NULL;
  __pyx_pybuffernd_arr.rcbuffer = &__pyx_pybuffer_arr;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":851
 *             - `list` of gradations.
 *         '''
 *         delta_arr, grads_list = self.output_back_propagate(pred_arr, delta_arr)             # <<<<<<<<<<<<<<
 *         cdef np.ndarray[DOUBLE_t, ndim=2] arr
 *         if self.__opt_params.dropout_rate > 0:
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_output_back_propagate); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 851, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = NULL;
  __pyx_t_4 = 0;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_3)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_3);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
      __pyx_t_4 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[3] = {__pyx_t_3, ((PyObject *)__pyx_v_pred_arr), ((PyObject *)__pyx_v_delta_arr)};
    __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 851, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_GOTREF(__pyx_t_1);
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
    PyObject *__pyx_temp[3] = {__pyx_t_3, ((PyObject *)__pyx_v_pred_arr), ((PyObject *)__pyx_v_delta_arr)};
    __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_4, 2+__pyx_t_4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 851, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_GOTREF(__pyx_t_1);
  } else
  #endif
  {
    __pyx_t_5 = PyTuple_New(2+__pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 851, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    if (__pyx_t_3) {
      __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_3); __pyx_t_3 = NULL;
    }
    __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
    __Pyx_GIVEREF(((PyObject *)__pyx_v_pred_arr));
    PyTuple_SET_ITEM(__pyx_t_5, 0+__pyx_t_4, ((PyObject *)__pyx_v_pred_arr));
    __Pyx_INCREF(((PyObject *)__pyx_v_delta_arr));
    __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_arr));
    PyTuple_SET_ITEM(__pyx_t_5, 1+__pyx_t_4, ((PyObject *)__pyx_v_delta_arr));
    __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 851, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) {
    PyObject* sequence = __pyx_t_1;
    Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
    if (unlikely(size != 2)) {
      if (size > 2) __Pyx_RaiseTooManyValuesError(2);
      else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
      __PYX_ERR(0, 851, __pyx_L1_error)
    }
    #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    if (likely(PyTuple_CheckExact(sequence))) {
      __pyx_t_2 = PyTuple_GET_ITEM(sequence, 0); 
      __pyx_t_5 = PyTuple_GET_ITEM(sequence, 1); 
    } else {
      __pyx_t_2 = PyList_GET_ITEM(sequence, 0); 
      __pyx_t_5 = PyList_GET_ITEM(sequence, 1); 
    }
    __Pyx_INCREF(__pyx_t_2);
    __Pyx_INCREF(__pyx_t_5);
    #else
    __pyx_t_2 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 851, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_5 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 851, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    #endif
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  } else {
    Py_ssize_t index = -1;
    __pyx_t_3 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 851, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_6 = Py_TYPE(__pyx_t_3)->tp_iternext;
    index = 0; __pyx_t_2 = __pyx_t_6(__pyx_t_3); if (unlikely(!__pyx_t_2)) goto __pyx_L3_unpacking_failed;
    __Pyx_GOTREF(__pyx_t_2);
    index = 1; __pyx_t_5 = __pyx_t_6(__pyx_t_3); if (unlikely(!__pyx_t_5)) goto __pyx_L3_unpacking_failed;
    __Pyx_GOTREF(__pyx_t_5);
    if (__Pyx_IternextUnpackEndCheck(__pyx_t_6(__pyx_t_3), 2) < 0) __PYX_ERR(0, 851, __pyx_L1_error)
    __pyx_t_6 = NULL;
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    goto __pyx_L4_unpacking_done;
    __pyx_L3_unpacking_failed:;
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __pyx_t_6 = NULL;
    if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
    __PYX_ERR(0, 851, __pyx_L1_error)
    __pyx_L4_unpacking_done:;
  }
  if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 851, __pyx_L1_error)
  __Pyx_DECREF_SET(__pyx_v_delta_arr, ((PyArrayObject *)__pyx_t_2));
  __pyx_t_2 = 0;
  __pyx_v_grads_list = __pyx_t_5;
  __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":853
 *         delta_arr, grads_list = self.output_back_propagate(pred_arr, delta_arr)
 *         cdef np.ndarray[DOUBLE_t, ndim=2] arr
 *         if self.__opt_params.dropout_rate > 0:             # <<<<<<<<<<<<<<
 *             arr = delta_arr.reshape((
 *                 delta_arr.shape[0],
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 853, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_dropout_rate); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 853, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = PyObject_RichCompare(__pyx_t_5, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 853, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_7 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_7 < 0)) __PYX_ERR(0, 853, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (__pyx_t_7) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":854
 *         cdef np.ndarray[DOUBLE_t, ndim=2] arr
 *         if self.__opt_params.dropout_rate > 0:
 *             arr = delta_arr.reshape((             # <<<<<<<<<<<<<<
 *                 delta_arr.shape[0],
 *                 -1
 */
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_delta_arr), __pyx_n_s_reshape); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 854, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":855
 *         if self.__opt_params.dropout_rate > 0:
 *             arr = delta_arr.reshape((
 *                 delta_arr.shape[0],             # <<<<<<<<<<<<<<
 *                 -1
 *             ))
 */
    __pyx_t_2 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_delta_arr->dimensions[0])); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 855, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_3 = PyTuple_New(2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 855, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_GIVEREF(__pyx_t_2);
    PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_2);
    __Pyx_INCREF(__pyx_int_neg_1);
    __Pyx_GIVEREF(__pyx_int_neg_1);
    PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_int_neg_1);
    __pyx_t_2 = 0;
    __pyx_t_2 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
      __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_5);
      if (likely(__pyx_t_2)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
        __Pyx_INCREF(__pyx_t_2);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_5, function);
      }
    }
    if (!__pyx_t_2) {
      __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_3); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 854, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_3};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 854, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_3};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 854, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      } else
      #endif
      {
        __pyx_t_8 = PyTuple_New(1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 854, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_8);
        __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_2); __pyx_t_2 = NULL;
        __Pyx_GIVEREF(__pyx_t_3);
        PyTuple_SET_ITEM(__pyx_t_8, 0+1, __pyx_t_3);
        __pyx_t_3 = 0;
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_8, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 854, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":854
 *         cdef np.ndarray[DOUBLE_t, ndim=2] arr
 *         if self.__opt_params.dropout_rate > 0:
 *             arr = delta_arr.reshape((             # <<<<<<<<<<<<<<
 *                 delta_arr.shape[0],
 *                 -1
 */
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 854, __pyx_L1_error)
    __pyx_t_9 = ((PyArrayObject *)__pyx_t_1);
    {
      __Pyx_BufFmt_StackElem __pyx_stack[1];
      __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_arr.rcbuffer->pybuffer);
      __pyx_t_4 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_9, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack);
      if (unlikely(__pyx_t_4 < 0)) {
        PyErr_Fetch(&__pyx_t_10, &__pyx_t_11, &__pyx_t_12);
        if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) {
          Py_XDECREF(__pyx_t_10); Py_XDECREF(__pyx_t_11); Py_XDECREF(__pyx_t_12);
          __Pyx_RaiseBufferFallbackError();
        } else {
          PyErr_Restore(__pyx_t_10, __pyx_t_11, __pyx_t_12);
        }
        __pyx_t_10 = __pyx_t_11 = __pyx_t_12 = 0;
      }
      __pyx_pybuffernd_arr.diminfo[0].strides = __pyx_pybuffernd_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_arr.diminfo[0].shape = __pyx_pybuffernd_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_arr.diminfo[1].strides = __pyx_pybuffernd_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_arr.diminfo[1].shape = __pyx_pybuffernd_arr.rcbuffer->pybuffer.shape[1];
      if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 854, __pyx_L1_error)
    }
    __pyx_t_9 = 0;
    __pyx_v_arr = ((PyArrayObject *)__pyx_t_1);
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":858
 *                 -1
 *             ))
 *             arr = self.__opt_params.de_dropout(arr)             # <<<<<<<<<<<<<<
 *             delta_arr = arr.reshape((
 *                 delta_arr.shape[0],
 */
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 858, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_de_dropout); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 858, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
      __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_8);
      if (likely(__pyx_t_5)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
        __Pyx_INCREF(__pyx_t_5);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_8, function);
      }
    }
    if (!__pyx_t_5) {
      __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_8, ((PyObject *)__pyx_v_arr)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 858, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_8)) {
        PyObject *__pyx_temp[2] = {__pyx_t_5, ((PyObject *)__pyx_v_arr)};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 858, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
        __Pyx_GOTREF(__pyx_t_1);
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
        PyObject *__pyx_temp[2] = {__pyx_t_5, ((PyObject *)__pyx_v_arr)};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 858, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
        __Pyx_GOTREF(__pyx_t_1);
      } else
      #endif
      {
        __pyx_t_3 = PyTuple_New(1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 858, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_5); __pyx_t_5 = NULL;
        __Pyx_INCREF(((PyObject *)__pyx_v_arr));
        __Pyx_GIVEREF(((PyObject *)__pyx_v_arr));
        PyTuple_SET_ITEM(__pyx_t_3, 0+1, ((PyObject *)__pyx_v_arr));
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_3, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 858, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 858, __pyx_L1_error)
    __pyx_t_9 = ((PyArrayObject *)__pyx_t_1);
    {
      __Pyx_BufFmt_StackElem __pyx_stack[1];
      __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_arr.rcbuffer->pybuffer);
      __pyx_t_4 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_9, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack);
      if (unlikely(__pyx_t_4 < 0)) {
        PyErr_Fetch(&__pyx_t_12, &__pyx_t_11, &__pyx_t_10);
        if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 2, 0, __pyx_stack) == -1)) {
          Py_XDECREF(__pyx_t_12); Py_XDECREF(__pyx_t_11); Py_XDECREF(__pyx_t_10);
          __Pyx_RaiseBufferFallbackError();
        } else {
          PyErr_Restore(__pyx_t_12, __pyx_t_11, __pyx_t_10);
        }
        __pyx_t_12 = __pyx_t_11 = __pyx_t_10 = 0;
      }
      __pyx_pybuffernd_arr.diminfo[0].strides = __pyx_pybuffernd_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_arr.diminfo[0].shape = __pyx_pybuffernd_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_arr.diminfo[1].strides = __pyx_pybuffernd_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_arr.diminfo[1].shape = __pyx_pybuffernd_arr.rcbuffer->pybuffer.shape[1];
      if (unlikely(__pyx_t_4 < 0)) __PYX_ERR(0, 858, __pyx_L1_error)
    }
    __pyx_t_9 = 0;
    __Pyx_DECREF_SET(__pyx_v_arr, ((PyArrayObject *)__pyx_t_1));
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":859
 *             ))
 *             arr = self.__opt_params.de_dropout(arr)
 *             delta_arr = arr.reshape((             # <<<<<<<<<<<<<<
 *                 delta_arr.shape[0],
 *                 delta_arr.shape[1],
 */
    __pyx_t_8 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_arr), __pyx_n_s_reshape); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 859, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":860
 *             arr = self.__opt_params.de_dropout(arr)
 *             delta_arr = arr.reshape((
 *                 delta_arr.shape[0],             # <<<<<<<<<<<<<<
 *                 delta_arr.shape[1],
 *                 delta_arr.shape[2],
 */
    __pyx_t_3 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_delta_arr->dimensions[0])); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 860, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":861
 *             delta_arr = arr.reshape((
 *                 delta_arr.shape[0],
 *                 delta_arr.shape[1],             # <<<<<<<<<<<<<<
 *                 delta_arr.shape[2],
 *                 delta_arr.shape[3],
 */
    __pyx_t_5 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_delta_arr->dimensions[1])); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 861, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":862
 *                 delta_arr.shape[0],
 *                 delta_arr.shape[1],
 *                 delta_arr.shape[2],             # <<<<<<<<<<<<<<
 *                 delta_arr.shape[3],
 *                 delta_arr.shape[4]
 */
    __pyx_t_2 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_delta_arr->dimensions[2])); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 862, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":863
 *                 delta_arr.shape[1],
 *                 delta_arr.shape[2],
 *                 delta_arr.shape[3],             # <<<<<<<<<<<<<<
 *                 delta_arr.shape[4]
 *             ))
 */
    __pyx_t_13 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_delta_arr->dimensions[3])); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 863, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_13);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":864
 *                 delta_arr.shape[2],
 *                 delta_arr.shape[3],
 *                 delta_arr.shape[4]             # <<<<<<<<<<<<<<
 *             ))
 * 
 */
    __pyx_t_14 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_delta_arr->dimensions[4])); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 864, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_14);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":860
 *             arr = self.__opt_params.de_dropout(arr)
 *             delta_arr = arr.reshape((
 *                 delta_arr.shape[0],             # <<<<<<<<<<<<<<
 *                 delta_arr.shape[1],
 *                 delta_arr.shape[2],
 */
    __pyx_t_15 = PyTuple_New(5); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 860, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_15);
    __Pyx_GIVEREF(__pyx_t_3);
    PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_3);
    __Pyx_GIVEREF(__pyx_t_5);
    PyTuple_SET_ITEM(__pyx_t_15, 1, __pyx_t_5);
    __Pyx_GIVEREF(__pyx_t_2);
    PyTuple_SET_ITEM(__pyx_t_15, 2, __pyx_t_2);
    __Pyx_GIVEREF(__pyx_t_13);
    PyTuple_SET_ITEM(__pyx_t_15, 3, __pyx_t_13);
    __Pyx_GIVEREF(__pyx_t_14);
    PyTuple_SET_ITEM(__pyx_t_15, 4, __pyx_t_14);
    __pyx_t_3 = 0;
    __pyx_t_5 = 0;
    __pyx_t_2 = 0;
    __pyx_t_13 = 0;
    __pyx_t_14 = 0;
    __pyx_t_14 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
      __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_8);
      if (likely(__pyx_t_14)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
        __Pyx_INCREF(__pyx_t_14);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_8, function);
      }
    }
    if (!__pyx_t_14) {
      __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_15); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 859, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_8)) {
        PyObject *__pyx_temp[2] = {__pyx_t_14, __pyx_t_15};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 859, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
        PyObject *__pyx_temp[2] = {__pyx_t_14, __pyx_t_15};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 859, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
      } else
      #endif
      {
        __pyx_t_13 = PyTuple_New(1+1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 859, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_13);
        __Pyx_GIVEREF(__pyx_t_14); PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_t_14); __pyx_t_14 = NULL;
        __Pyx_GIVEREF(__pyx_t_15);
        PyTuple_SET_ITEM(__pyx_t_13, 0+1, __pyx_t_15);
        __pyx_t_15 = 0;
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_13, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 859, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":859
 *             ))
 *             arr = self.__opt_params.de_dropout(arr)
 *             delta_arr = arr.reshape((             # <<<<<<<<<<<<<<
 *                 delta_arr.shape[0],
 *                 delta_arr.shape[1],
 */
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 859, __pyx_L1_error)
    __Pyx_DECREF_SET(__pyx_v_delta_arr, ((PyArrayObject *)__pyx_t_1));
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":853
 *         delta_arr, grads_list = self.output_back_propagate(pred_arr, delta_arr)
 *         cdef np.ndarray[DOUBLE_t, ndim=2] arr
 *         if self.__opt_params.dropout_rate > 0:             # <<<<<<<<<<<<<<
 *             arr = delta_arr.reshape((
 *                 delta_arr.shape[0],
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":867
 *             ))
 * 
 *         delta_arr, delta_hidden_arr, _ = self.hidden_back_propagate(delta_arr[:, -1])             # <<<<<<<<<<<<<<
 *         return (delta_arr, grads_list)
 * 
 */
  __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_hidden_back_propagate); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 867, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_8);
  __pyx_t_13 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_delta_arr), __pyx_tuple__113); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 867, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_13);
  __pyx_t_15 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_8))) {
    __pyx_t_15 = PyMethod_GET_SELF(__pyx_t_8);
    if (likely(__pyx_t_15)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_8);
      __Pyx_INCREF(__pyx_t_15);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_8, function);
    }
  }
  if (!__pyx_t_15) {
    __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_8, __pyx_t_13); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 867, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
    __Pyx_GOTREF(__pyx_t_1);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_8)) {
      PyObject *__pyx_temp[2] = {__pyx_t_15, __pyx_t_13};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 867, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_15); __pyx_t_15 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_8)) {
      PyObject *__pyx_temp[2] = {__pyx_t_15, __pyx_t_13};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_8, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 867, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_15); __pyx_t_15 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
    } else
    #endif
    {
      __pyx_t_14 = PyTuple_New(1+1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 867, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_14);
      __Pyx_GIVEREF(__pyx_t_15); PyTuple_SET_ITEM(__pyx_t_14, 0, __pyx_t_15); __pyx_t_15 = NULL;
      __Pyx_GIVEREF(__pyx_t_13);
      PyTuple_SET_ITEM(__pyx_t_14, 0+1, __pyx_t_13);
      __pyx_t_13 = 0;
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_8, __pyx_t_14, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 867, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
  if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) {
    PyObject* sequence = __pyx_t_1;
    Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
    if (unlikely(size != 3)) {
      if (size > 3) __Pyx_RaiseTooManyValuesError(3);
      else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
      __PYX_ERR(0, 867, __pyx_L1_error)
    }
    #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    if (likely(PyTuple_CheckExact(sequence))) {
      __pyx_t_8 = PyTuple_GET_ITEM(sequence, 0); 
      __pyx_t_14 = PyTuple_GET_ITEM(sequence, 1); 
      __pyx_t_13 = PyTuple_GET_ITEM(sequence, 2); 
    } else {
      __pyx_t_8 = PyList_GET_ITEM(sequence, 0); 
      __pyx_t_14 = PyList_GET_ITEM(sequence, 1); 
      __pyx_t_13 = PyList_GET_ITEM(sequence, 2); 
    }
    __Pyx_INCREF(__pyx_t_8);
    __Pyx_INCREF(__pyx_t_14);
    __Pyx_INCREF(__pyx_t_13);
    #else
    __pyx_t_8 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 867, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_14 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 867, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_14);
    __pyx_t_13 = PySequence_ITEM(sequence, 2); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 867, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_13);
    #endif
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  } else {
    Py_ssize_t index = -1;
    __pyx_t_15 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 867, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_15);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_6 = Py_TYPE(__pyx_t_15)->tp_iternext;
    index = 0; __pyx_t_8 = __pyx_t_6(__pyx_t_15); if (unlikely(!__pyx_t_8)) goto __pyx_L6_unpacking_failed;
    __Pyx_GOTREF(__pyx_t_8);
    index = 1; __pyx_t_14 = __pyx_t_6(__pyx_t_15); if (unlikely(!__pyx_t_14)) goto __pyx_L6_unpacking_failed;
    __Pyx_GOTREF(__pyx_t_14);
    index = 2; __pyx_t_13 = __pyx_t_6(__pyx_t_15); if (unlikely(!__pyx_t_13)) goto __pyx_L6_unpacking_failed;
    __Pyx_GOTREF(__pyx_t_13);
    if (__Pyx_IternextUnpackEndCheck(__pyx_t_6(__pyx_t_15), 3) < 0) __PYX_ERR(0, 867, __pyx_L1_error)
    __pyx_t_6 = NULL;
    __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
    goto __pyx_L7_unpacking_done;
    __pyx_L6_unpacking_failed:;
    __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
    __pyx_t_6 = NULL;
    if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
    __PYX_ERR(0, 867, __pyx_L1_error)
    __pyx_L7_unpacking_done:;
  }
  if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 867, __pyx_L1_error)
  __Pyx_DECREF_SET(__pyx_v_delta_arr, ((PyArrayObject *)__pyx_t_8));
  __pyx_t_8 = 0;
  __pyx_v_delta_hidden_arr = __pyx_t_14;
  __pyx_t_14 = 0;
  __pyx_v__ = __pyx_t_13;
  __pyx_t_13 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":868
 * 
 *         delta_arr, delta_hidden_arr, _ = self.hidden_back_propagate(delta_arr[:, -1])
 *         return (delta_arr, grads_list)             # <<<<<<<<<<<<<<
 * 
 *     def optimize(
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyTuple_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 868, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_arr));
  PyTuple_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_delta_arr));
  __Pyx_INCREF(__pyx_v_grads_list);
  __Pyx_GIVEREF(__pyx_v_grads_list);
  PyTuple_SET_ITEM(__pyx_t_1, 1, __pyx_v_grads_list);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":834
 *         return pred_arr
 * 
 *     def back_propagation(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray pred_arr,
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_XDECREF(__pyx_t_13);
  __Pyx_XDECREF(__pyx_t_14);
  __Pyx_XDECREF(__pyx_t_15);
  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_arr.rcbuffer->pybuffer);
  __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.back_propagation", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  goto __pyx_L2;
  __pyx_L0:;
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_arr.rcbuffer->pybuffer);
  __pyx_L2:;
  __Pyx_XDECREF(__pyx_v_grads_list);
  __Pyx_XDECREF((PyObject *)__pyx_v_arr);
  __Pyx_XDECREF(__pyx_v_delta_hidden_arr);
  __Pyx_XDECREF(__pyx_v__);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_arr);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":870
 *         return (delta_arr, grads_list)
 * 
 *     def optimize(             # <<<<<<<<<<<<<<
 *         self,
 *         grads_list,
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_17optimize(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_16optimize[] = "\n        Optimization.\n        \n        Args:\n            grads_list:     `list` of graduations.\n            learning_rate:  Learning rate.\n            epoch:          Now epoch.\n            \n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_17optimize = {"optimize", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_17optimize, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_16optimize};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_17optimize(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_grads_list = 0;
  double __pyx_v_learning_rate;
  int __pyx_v_epoch;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("optimize (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_grads_list,&__pyx_n_s_learning_rate,&__pyx_n_s_epoch,0};
    PyObject* values[4] = {0,0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_grads_list)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("optimize", 1, 4, 4, 1); __PYX_ERR(0, 870, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_learning_rate)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("optimize", 1, 4, 4, 2); __PYX_ERR(0, 870, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_epoch)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("optimize", 1, 4, 4, 3); __PYX_ERR(0, 870, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "optimize") < 0)) __PYX_ERR(0, 870, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 4) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
      values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
    }
    __pyx_v_self = values[0];
    __pyx_v_grads_list = values[1];
    __pyx_v_learning_rate = __pyx_PyFloat_AsDouble(values[2]); if (unlikely((__pyx_v_learning_rate == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 873, __pyx_L3_error)
    __pyx_v_epoch = __Pyx_PyInt_As_int(values[3]); if (unlikely((__pyx_v_epoch == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 874, __pyx_L3_error)
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("optimize", 1, 4, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 870, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.optimize", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_16optimize(__pyx_self, __pyx_v_self, __pyx_v_grads_list, __pyx_v_learning_rate, __pyx_v_epoch);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_16optimize(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_grads_list, double __pyx_v_learning_rate, int __pyx_v_epoch) {
  PyObject *__pyx_v_params_list = NULL;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  PyObject *__pyx_t_9 = NULL;
  int __pyx_t_10;
  int __pyx_t_11;
  int __pyx_t_12;
  int __pyx_t_13;
  __Pyx_RefNannySetupContext("optimize", 0);
  __Pyx_INCREF(__pyx_v_grads_list);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":885
 * 
 *         '''
 *         self.__given_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.weight_arr
 *         )
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 885, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_compute_weight_decay_delta); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 885, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":886
 *         '''
 *         self.__given_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(
 *             self.__given_conv.graph.weight_arr             # <<<<<<<<<<<<<<
 *         )
 *         self.__input_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 886, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 886, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 886, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_3);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_3, function);
    }
  }
  if (!__pyx_t_4) {
    __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 885, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_GOTREF(__pyx_t_1);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_3)) {
      PyObject *__pyx_temp[2] = {__pyx_t_4, __pyx_t_2};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 885, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) {
      PyObject *__pyx_temp[2] = {__pyx_t_4, __pyx_t_2};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 885, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    } else
    #endif
    {
      __pyx_t_5 = PyTuple_New(1+1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 885, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_4); __pyx_t_4 = NULL;
      __Pyx_GIVEREF(__pyx_t_2);
      PyTuple_SET_ITEM(__pyx_t_5, 0+1, __pyx_t_2);
      __pyx_t_2 = 0;
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_5, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 885, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":885
 * 
 *         '''
 *         self.__given_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.weight_arr
 *         )
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 885, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_3, __pyx_n_s_delta_weight_arr, __pyx_t_1) < 0) __PYX_ERR(0, 885, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":888
 *             self.__given_conv.graph.weight_arr
 *         )
 *         self.__input_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(             # <<<<<<<<<<<<<<
 *             self.__input_conv.graph.weight_arr
 *         )
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 888, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_compute_weight_decay_delta); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 888, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":889
 *         )
 *         self.__input_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(
 *             self.__input_conv.graph.weight_arr             # <<<<<<<<<<<<<<
 *         )
 *         self.__forgot_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 889, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 889, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 889, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_2)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_2);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  if (!__pyx_t_2) {
    __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 888, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_GOTREF(__pyx_t_3);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_1};
      __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 888, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_1};
      __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 888, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    {
      __pyx_t_4 = PyTuple_New(1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 888, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_2); __pyx_t_2 = NULL;
      __Pyx_GIVEREF(__pyx_t_1);
      PyTuple_SET_ITEM(__pyx_t_4, 0+1, __pyx_t_1);
      __pyx_t_1 = 0;
      __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_4, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 888, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":888
 *             self.__given_conv.graph.weight_arr
 *         )
 *         self.__input_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(             # <<<<<<<<<<<<<<
 *             self.__input_conv.graph.weight_arr
 *         )
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 888, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_5, __pyx_n_s_delta_weight_arr, __pyx_t_3) < 0) __PYX_ERR(0, 888, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":891
 *             self.__input_conv.graph.weight_arr
 *         )
 *         self.__forgot_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(             # <<<<<<<<<<<<<<
 *             self.__forgot_conv.graph.weight_arr
 *         )
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 891, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_compute_weight_decay_delta); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 891, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":892
 *         )
 *         self.__forgot_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(
 *             self.__forgot_conv.graph.weight_arr             # <<<<<<<<<<<<<<
 *         )
 *         self.__output_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 892, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_graph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 892, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 892, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_1)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_1);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
    }
  }
  if (!__pyx_t_1) {
    __pyx_t_5 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_3); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 891, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_GOTREF(__pyx_t_5);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_4)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_3};
      __pyx_t_5 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 891, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_3};
      __pyx_t_5 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 891, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    } else
    #endif
    {
      __pyx_t_2 = PyTuple_New(1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 891, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1); __pyx_t_1 = NULL;
      __Pyx_GIVEREF(__pyx_t_3);
      PyTuple_SET_ITEM(__pyx_t_2, 0+1, __pyx_t_3);
      __pyx_t_3 = 0;
      __pyx_t_5 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_2, NULL); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 891, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":891
 *             self.__input_conv.graph.weight_arr
 *         )
 *         self.__forgot_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(             # <<<<<<<<<<<<<<
 *             self.__forgot_conv.graph.weight_arr
 *         )
 */
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 891, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_4, __pyx_n_s_delta_weight_arr, __pyx_t_5) < 0) __PYX_ERR(0, 891, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":894
 *             self.__forgot_conv.graph.weight_arr
 *         )
 *         self.__output_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(             # <<<<<<<<<<<<<<
 *             self.__output_conv.graph.weight_arr
 *         )
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 894, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_compute_weight_decay_delta); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 894, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":895
 *         )
 *         self.__output_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(
 *             self.__output_conv.graph.weight_arr             # <<<<<<<<<<<<<<
 *         )
 * 
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 895, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 895, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 895, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_3 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_3)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_3);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  if (!__pyx_t_3) {
    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_5); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 894, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_GOTREF(__pyx_t_4);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[2] = {__pyx_t_3, __pyx_t_5};
      __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 894, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[2] = {__pyx_t_3, __pyx_t_5};
      __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 894, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    } else
    #endif
    {
      __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 894, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_3); __pyx_t_3 = NULL;
      __Pyx_GIVEREF(__pyx_t_5);
      PyTuple_SET_ITEM(__pyx_t_1, 0+1, __pyx_t_5);
      __pyx_t_5 = 0;
      __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_1, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 894, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":894
 *             self.__forgot_conv.graph.weight_arr
 *         )
 *         self.__output_conv.delta_weight_arr = self.__opt_params.compute_weight_decay_delta(             # <<<<<<<<<<<<<<
 *             self.__output_conv.graph.weight_arr
 *         )
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 894, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_2, __pyx_n_s_delta_weight_arr, __pyx_t_4) < 0) __PYX_ERR(0, 894, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":899
 * 
 *         params_list = [
 *             self.__given_conv.graph.weight_arr,             # <<<<<<<<<<<<<<
 *             self.__input_conv.graph.weight_arr,
 *             self.__forgot_conv.graph.weight_arr,
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 899, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 899, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 899, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":900
 *         params_list = [
 *             self.__given_conv.graph.weight_arr,
 *             self.__input_conv.graph.weight_arr,             # <<<<<<<<<<<<<<
 *             self.__forgot_conv.graph.weight_arr,
 *             self.__output_conv.graph.weight_arr,
 */
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 900, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 900, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 900, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":901
 *             self.__given_conv.graph.weight_arr,
 *             self.__input_conv.graph.weight_arr,
 *             self.__forgot_conv.graph.weight_arr,             # <<<<<<<<<<<<<<
 *             self.__output_conv.graph.weight_arr,
 *             self.__given_conv.graph.bias_arr,
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 901, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 901, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 901, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":902
 *             self.__input_conv.graph.weight_arr,
 *             self.__forgot_conv.graph.weight_arr,
 *             self.__output_conv.graph.weight_arr,             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.bias_arr,
 *             self.__input_conv.graph.bias_arr,
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 902, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 902, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 902, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":903
 *             self.__forgot_conv.graph.weight_arr,
 *             self.__output_conv.graph.weight_arr,
 *             self.__given_conv.graph.bias_arr,             # <<<<<<<<<<<<<<
 *             self.__input_conv.graph.bias_arr,
 *             self.__forgot_conv.graph.bias_arr,
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 903, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_graph); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 903, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_bias_arr); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 903, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":904
 *             self.__output_conv.graph.weight_arr,
 *             self.__given_conv.graph.bias_arr,
 *             self.__input_conv.graph.bias_arr,             # <<<<<<<<<<<<<<
 *             self.__forgot_conv.graph.bias_arr,
 *             self.__output_conv.graph.bias_arr
 */
  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 904, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_graph); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 904, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_bias_arr); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 904, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":905
 *             self.__given_conv.graph.bias_arr,
 *             self.__input_conv.graph.bias_arr,
 *             self.__forgot_conv.graph.bias_arr,             # <<<<<<<<<<<<<<
 *             self.__output_conv.graph.bias_arr
 *         ]
 */
  __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 905, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_graph); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 905, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_8);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_bias_arr); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 905, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":906
 *             self.__input_conv.graph.bias_arr,
 *             self.__forgot_conv.graph.bias_arr,
 *             self.__output_conv.graph.bias_arr             # <<<<<<<<<<<<<<
 *         ]
 *         grads_list = [
 */
  __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 906, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_8);
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_8, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 906, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
  __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_bias_arr); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 906, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_8);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":898
 *         )
 * 
 *         params_list = [             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.weight_arr,
 *             self.__input_conv.graph.weight_arr,
 */
  __pyx_t_9 = PyList_New(8); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 898, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_GIVEREF(__pyx_t_2);
  PyList_SET_ITEM(__pyx_t_9, 0, __pyx_t_2);
  __Pyx_GIVEREF(__pyx_t_4);
  PyList_SET_ITEM(__pyx_t_9, 1, __pyx_t_4);
  __Pyx_GIVEREF(__pyx_t_1);
  PyList_SET_ITEM(__pyx_t_9, 2, __pyx_t_1);
  __Pyx_GIVEREF(__pyx_t_5);
  PyList_SET_ITEM(__pyx_t_9, 3, __pyx_t_5);
  __Pyx_GIVEREF(__pyx_t_3);
  PyList_SET_ITEM(__pyx_t_9, 4, __pyx_t_3);
  __Pyx_GIVEREF(__pyx_t_6);
  PyList_SET_ITEM(__pyx_t_9, 5, __pyx_t_6);
  __Pyx_GIVEREF(__pyx_t_7);
  PyList_SET_ITEM(__pyx_t_9, 6, __pyx_t_7);
  __Pyx_GIVEREF(__pyx_t_8);
  PyList_SET_ITEM(__pyx_t_9, 7, __pyx_t_8);
  __pyx_t_2 = 0;
  __pyx_t_4 = 0;
  __pyx_t_1 = 0;
  __pyx_t_5 = 0;
  __pyx_t_3 = 0;
  __pyx_t_6 = 0;
  __pyx_t_7 = 0;
  __pyx_t_8 = 0;
  __pyx_v_params_list = __pyx_t_9;
  __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":909
 *         ]
 *         grads_list = [
 *             self.__given_conv.delta_weight_arr,             # <<<<<<<<<<<<<<
 *             self.__input_conv.delta_weight_arr,
 *             self.__forgot_conv.delta_weight_arr,
 */
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 909, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_delta_weight_arr); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 909, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_8);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":910
 *         grads_list = [
 *             self.__given_conv.delta_weight_arr,
 *             self.__input_conv.delta_weight_arr,             # <<<<<<<<<<<<<<
 *             self.__forgot_conv.delta_weight_arr,
 *             self.__output_conv.delta_weight_arr,
 */
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 910, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_delta_weight_arr); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 910, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":911
 *             self.__given_conv.delta_weight_arr,
 *             self.__input_conv.delta_weight_arr,
 *             self.__forgot_conv.delta_weight_arr,             # <<<<<<<<<<<<<<
 *             self.__output_conv.delta_weight_arr,
 *             self.__given_conv.delta_bias_arr,
 */
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 911, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_delta_weight_arr); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 911, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":912
 *             self.__input_conv.delta_weight_arr,
 *             self.__forgot_conv.delta_weight_arr,
 *             self.__output_conv.delta_weight_arr,             # <<<<<<<<<<<<<<
 *             self.__given_conv.delta_bias_arr,
 *             self.__input_conv.delta_bias_arr,
 */
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 912, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_delta_weight_arr); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 912, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":913
 *             self.__forgot_conv.delta_weight_arr,
 *             self.__output_conv.delta_weight_arr,
 *             self.__given_conv.delta_bias_arr,             # <<<<<<<<<<<<<<
 *             self.__input_conv.delta_bias_arr,
 *             self.__forgot_conv.delta_bias_arr,
 */
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 913, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_delta_bias_arr); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 913, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":914
 *             self.__output_conv.delta_weight_arr,
 *             self.__given_conv.delta_bias_arr,
 *             self.__input_conv.delta_bias_arr,             # <<<<<<<<<<<<<<
 *             self.__forgot_conv.delta_bias_arr,
 *             self.__output_conv.delta_bias_arr
 */
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 914, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_delta_bias_arr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 914, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":915
 *             self.__given_conv.delta_bias_arr,
 *             self.__input_conv.delta_bias_arr,
 *             self.__forgot_conv.delta_bias_arr,             # <<<<<<<<<<<<<<
 *             self.__output_conv.delta_bias_arr
 *         ]
 */
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 915, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_delta_bias_arr); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 915, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":916
 *             self.__input_conv.delta_bias_arr,
 *             self.__forgot_conv.delta_bias_arr,
 *             self.__output_conv.delta_bias_arr             # <<<<<<<<<<<<<<
 *         ]
 * 
 */
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 916, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_delta_bias_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 916, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":908
 *             self.__output_conv.graph.bias_arr
 *         ]
 *         grads_list = [             # <<<<<<<<<<<<<<
 *             self.__given_conv.delta_weight_arr,
 *             self.__input_conv.delta_weight_arr,
 */
  __pyx_t_9 = PyList_New(8); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 908, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_GIVEREF(__pyx_t_8);
  PyList_SET_ITEM(__pyx_t_9, 0, __pyx_t_8);
  __Pyx_GIVEREF(__pyx_t_7);
  PyList_SET_ITEM(__pyx_t_9, 1, __pyx_t_7);
  __Pyx_GIVEREF(__pyx_t_6);
  PyList_SET_ITEM(__pyx_t_9, 2, __pyx_t_6);
  __Pyx_GIVEREF(__pyx_t_3);
  PyList_SET_ITEM(__pyx_t_9, 3, __pyx_t_3);
  __Pyx_GIVEREF(__pyx_t_5);
  PyList_SET_ITEM(__pyx_t_9, 4, __pyx_t_5);
  __Pyx_GIVEREF(__pyx_t_1);
  PyList_SET_ITEM(__pyx_t_9, 5, __pyx_t_1);
  __Pyx_GIVEREF(__pyx_t_4);
  PyList_SET_ITEM(__pyx_t_9, 6, __pyx_t_4);
  __Pyx_GIVEREF(__pyx_t_2);
  PyList_SET_ITEM(__pyx_t_9, 7, __pyx_t_2);
  __pyx_t_8 = 0;
  __pyx_t_7 = 0;
  __pyx_t_6 = 0;
  __pyx_t_3 = 0;
  __pyx_t_5 = 0;
  __pyx_t_1 = 0;
  __pyx_t_4 = 0;
  __pyx_t_2 = 0;
  __Pyx_DECREF_SET(__pyx_v_grads_list, __pyx_t_9);
  __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":919
 *         ]
 * 
 *         if self.__given_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             params_list.append(
 *                 self.__given_conv.graph.activation_function.batch_norm.beta_arr
 */
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 919, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 919, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 919, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 919, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_10 = (__pyx_t_2 != Py_None);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_11 = (__pyx_t_10 != 0);
  if (__pyx_t_11) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":921
 *         if self.__given_conv.graph.activation_function.batch_norm is not None:
 *             params_list.append(
 *                 self.__given_conv.graph.activation_function.batch_norm.beta_arr             # <<<<<<<<<<<<<<
 *             )
 *             grads_list.append(
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 921, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 921, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 921, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 921, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_beta_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 921, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":920
 * 
 *         if self.__given_conv.graph.activation_function.batch_norm is not None:
 *             params_list.append(             # <<<<<<<<<<<<<<
 *                 self.__given_conv.graph.activation_function.batch_norm.beta_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_params_list, __pyx_t_2); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 920, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":924
 *             )
 *             grads_list.append(
 *                 self.__given_conv.graph.activation_function.batch_norm.delta_beta_arr             # <<<<<<<<<<<<<<
 *             )
 *             params_list.append(
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 924, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 924, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 924, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 924, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_delta_beta_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 924, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":923
 *                 self.__given_conv.graph.activation_function.batch_norm.beta_arr
 *             )
 *             grads_list.append(             # <<<<<<<<<<<<<<
 *                 self.__given_conv.graph.activation_function.batch_norm.delta_beta_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_grads_list, __pyx_t_2); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 923, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":927
 *             )
 *             params_list.append(
 *                 self.__given_conv.graph.activation_function.batch_norm.gamma_arr             # <<<<<<<<<<<<<<
 *             )
 *             grads_list.append(
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 927, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 927, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 927, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 927, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_gamma_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 927, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":926
 *                 self.__given_conv.graph.activation_function.batch_norm.delta_beta_arr
 *             )
 *             params_list.append(             # <<<<<<<<<<<<<<
 *                 self.__given_conv.graph.activation_function.batch_norm.gamma_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_params_list, __pyx_t_2); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 926, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":930
 *             )
 *             grads_list.append(
 *                 self.__given_conv.graph.activation_function.batch_norm.delta_gamma_arr             # <<<<<<<<<<<<<<
 *             )
 *         if self.__input_conv.graph.activation_function.batch_norm is not None:
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 930, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 930, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 930, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 930, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_delta_gamma_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 930, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":929
 *                 self.__given_conv.graph.activation_function.batch_norm.gamma_arr
 *             )
 *             grads_list.append(             # <<<<<<<<<<<<<<
 *                 self.__given_conv.graph.activation_function.batch_norm.delta_gamma_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_grads_list, __pyx_t_2); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 929, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":919
 *         ]
 * 
 *         if self.__given_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             params_list.append(
 *                 self.__given_conv.graph.activation_function.batch_norm.beta_arr
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":932
 *                 self.__given_conv.graph.activation_function.batch_norm.delta_gamma_arr
 *             )
 *         if self.__input_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             params_list.append(
 *                 self.__input_conv.graph.activation_function.batch_norm.beta_arr
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 932, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 932, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 932, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 932, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_11 = (__pyx_t_9 != Py_None);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_10 = (__pyx_t_11 != 0);
  if (__pyx_t_10) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":934
 *         if self.__input_conv.graph.activation_function.batch_norm is not None:
 *             params_list.append(
 *                 self.__input_conv.graph.activation_function.batch_norm.beta_arr             # <<<<<<<<<<<<<<
 *             )
 *             grads_list.append(
 */
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 934, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 934, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 934, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 934, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_beta_arr); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 934, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":933
 *             )
 *         if self.__input_conv.graph.activation_function.batch_norm is not None:
 *             params_list.append(             # <<<<<<<<<<<<<<
 *                 self.__input_conv.graph.activation_function.batch_norm.beta_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_params_list, __pyx_t_9); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 933, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":937
 *             )
 *             grads_list.append(
 *                 self.__input_conv.graph.activation_function.batch_norm.delta_beta_arr             # <<<<<<<<<<<<<<
 *             )
 *             params_list.append(
 */
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 937, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 937, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 937, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 937, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_delta_beta_arr); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 937, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":936
 *                 self.__input_conv.graph.activation_function.batch_norm.beta_arr
 *             )
 *             grads_list.append(             # <<<<<<<<<<<<<<
 *                 self.__input_conv.graph.activation_function.batch_norm.delta_beta_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_grads_list, __pyx_t_9); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 936, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":940
 *             )
 *             params_list.append(
 *                 self.__input_conv.graph.activation_function.batch_norm.gamma_arr             # <<<<<<<<<<<<<<
 *             )
 *             grads_list.append(
 */
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 940, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 940, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 940, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 940, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_gamma_arr); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 940, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":939
 *                 self.__input_conv.graph.activation_function.batch_norm.delta_beta_arr
 *             )
 *             params_list.append(             # <<<<<<<<<<<<<<
 *                 self.__input_conv.graph.activation_function.batch_norm.gamma_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_params_list, __pyx_t_9); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 939, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":943
 *             )
 *             grads_list.append(
 *                 self.__input_conv.graph.activation_function.batch_norm.delta_gamma_arr             # <<<<<<<<<<<<<<
 *             )
 *         if self.__forgot_conv.graph.activation_function.batch_norm is not None:
 */
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 943, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 943, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 943, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 943, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_delta_gamma_arr); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 943, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":942
 *                 self.__input_conv.graph.activation_function.batch_norm.gamma_arr
 *             )
 *             grads_list.append(             # <<<<<<<<<<<<<<
 *                 self.__input_conv.graph.activation_function.batch_norm.delta_gamma_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_grads_list, __pyx_t_9); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 942, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":932
 *                 self.__given_conv.graph.activation_function.batch_norm.delta_gamma_arr
 *             )
 *         if self.__input_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             params_list.append(
 *                 self.__input_conv.graph.activation_function.batch_norm.beta_arr
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":945
 *                 self.__input_conv.graph.activation_function.batch_norm.delta_gamma_arr
 *             )
 *         if self.__forgot_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             params_list.append(
 *                 self.__forgot_conv.graph.activation_function.batch_norm.beta_arr
 */
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 945, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 945, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 945, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 945, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_10 = (__pyx_t_2 != Py_None);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_11 = (__pyx_t_10 != 0);
  if (__pyx_t_11) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":947
 *         if self.__forgot_conv.graph.activation_function.batch_norm is not None:
 *             params_list.append(
 *                 self.__forgot_conv.graph.activation_function.batch_norm.beta_arr             # <<<<<<<<<<<<<<
 *             )
 *             grads_list.append(
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 947, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 947, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 947, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 947, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_beta_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 947, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":946
 *             )
 *         if self.__forgot_conv.graph.activation_function.batch_norm is not None:
 *             params_list.append(             # <<<<<<<<<<<<<<
 *                 self.__forgot_conv.graph.activation_function.batch_norm.beta_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_params_list, __pyx_t_2); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 946, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":950
 *             )
 *             grads_list.append(
 *                 self.__forgot_conv.graph.activation_function.batch_norm.delta_beta_arr             # <<<<<<<<<<<<<<
 *             )
 *             params_list.append(
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 950, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 950, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 950, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 950, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_delta_beta_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 950, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":949
 *                 self.__forgot_conv.graph.activation_function.batch_norm.beta_arr
 *             )
 *             grads_list.append(             # <<<<<<<<<<<<<<
 *                 self.__forgot_conv.graph.activation_function.batch_norm.delta_beta_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_grads_list, __pyx_t_2); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 949, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":953
 *             )
 *             params_list.append(
 *                 self.__forgot_conv.graph.activation_function.batch_norm.gamma_arr             # <<<<<<<<<<<<<<
 *             )
 *             grads_list.append(
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 953, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 953, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 953, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 953, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_gamma_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 953, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":952
 *                 self.__forgot_conv.graph.activation_function.batch_norm.delta_beta_arr
 *             )
 *             params_list.append(             # <<<<<<<<<<<<<<
 *                 self.__forgot_conv.graph.activation_function.batch_norm.gamma_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_params_list, __pyx_t_2); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 952, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":956
 *             )
 *             grads_list.append(
 *                 self.__forgot_conv.graph.activation_function.batch_norm.delta_gamma_arr             # <<<<<<<<<<<<<<
 *             )
 *         if self.__output_conv.graph.activation_function.batch_norm is not None:
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 956, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 956, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 956, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 956, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_delta_gamma_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 956, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":955
 *                 self.__forgot_conv.graph.activation_function.batch_norm.gamma_arr
 *             )
 *             grads_list.append(             # <<<<<<<<<<<<<<
 *                 self.__forgot_conv.graph.activation_function.batch_norm.delta_gamma_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_grads_list, __pyx_t_2); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 955, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":945
 *                 self.__input_conv.graph.activation_function.batch_norm.delta_gamma_arr
 *             )
 *         if self.__forgot_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             params_list.append(
 *                 self.__forgot_conv.graph.activation_function.batch_norm.beta_arr
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":958
 *                 self.__forgot_conv.graph.activation_function.batch_norm.delta_gamma_arr
 *             )
 *         if self.__output_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             params_list.append(
 *                 self.__output_conv.graph.activation_function.batch_norm.beta_arr
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 958, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 958, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 958, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 958, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_11 = (__pyx_t_9 != Py_None);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_10 = (__pyx_t_11 != 0);
  if (__pyx_t_10) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":960
 *         if self.__output_conv.graph.activation_function.batch_norm is not None:
 *             params_list.append(
 *                 self.__output_conv.graph.activation_function.batch_norm.beta_arr             # <<<<<<<<<<<<<<
 *             )
 *             grads_list.append(
 */
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 960, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 960, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 960, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 960, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_beta_arr); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 960, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":959
 *             )
 *         if self.__output_conv.graph.activation_function.batch_norm is not None:
 *             params_list.append(             # <<<<<<<<<<<<<<
 *                 self.__output_conv.graph.activation_function.batch_norm.beta_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_params_list, __pyx_t_9); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 959, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":963
 *             )
 *             grads_list.append(
 *                 self.__output_conv.graph.activation_function.batch_norm.delta_beta_arr             # <<<<<<<<<<<<<<
 *             )
 *             params_list.append(
 */
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 963, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 963, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 963, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 963, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_delta_beta_arr); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 963, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":962
 *                 self.__output_conv.graph.activation_function.batch_norm.beta_arr
 *             )
 *             grads_list.append(             # <<<<<<<<<<<<<<
 *                 self.__output_conv.graph.activation_function.batch_norm.delta_beta_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_grads_list, __pyx_t_9); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 962, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":966
 *             )
 *             params_list.append(
 *                 self.__output_conv.graph.activation_function.batch_norm.gamma_arr             # <<<<<<<<<<<<<<
 *             )
 *             grads_list.append(
 */
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 966, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 966, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 966, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 966, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_gamma_arr); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 966, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":965
 *                 self.__output_conv.graph.activation_function.batch_norm.delta_beta_arr
 *             )
 *             params_list.append(             # <<<<<<<<<<<<<<
 *                 self.__output_conv.graph.activation_function.batch_norm.gamma_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_params_list, __pyx_t_9); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 965, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":969
 *             )
 *             grads_list.append(
 *                 self.__output_conv.graph.activation_function.batch_norm.delta_gamma_arr             # <<<<<<<<<<<<<<
 *             )
 * 
 */
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 969, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 969, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 969, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 969, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_delta_gamma_arr); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 969, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":968
 *                 self.__output_conv.graph.activation_function.batch_norm.gamma_arr
 *             )
 *             grads_list.append(             # <<<<<<<<<<<<<<
 *                 self.__output_conv.graph.activation_function.batch_norm.delta_gamma_arr
 *             )
 */
    __pyx_t_12 = __Pyx_PyObject_Append(__pyx_v_grads_list, __pyx_t_9); if (unlikely(__pyx_t_12 == ((int)-1))) __PYX_ERR(0, 968, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":958
 *                 self.__forgot_conv.graph.activation_function.batch_norm.delta_gamma_arr
 *             )
 *         if self.__output_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             params_list.append(
 *                 self.__output_conv.graph.activation_function.batch_norm.beta_arr
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":972
 *             )
 * 
 *         params_list = self.__opt_params.optimize(             # <<<<<<<<<<<<<<
 *             params_list,
 *             grads_list,
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 972, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_optimize); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 972, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":975
 *             params_list,
 *             grads_list,
 *             learning_rate             # <<<<<<<<<<<<<<
 *         )
 *         self.__given_conv.graph.weight_arr = params_list.pop(0)
 */
  __pyx_t_2 = PyFloat_FromDouble(__pyx_v_learning_rate); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 975, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_1 = NULL;
  __pyx_t_13 = 0;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_1)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_1);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
      __pyx_t_13 = 1;
    }
  }
  #if CYTHON_FAST_PYCALL
  if (PyFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[4] = {__pyx_t_1, __pyx_v_params_list, __pyx_v_grads_list, __pyx_t_2};
    __pyx_t_9 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_13, 3+__pyx_t_13); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 972, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  } else
  #endif
  #if CYTHON_FAST_PYCCALL
  if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
    PyObject *__pyx_temp[4] = {__pyx_t_1, __pyx_v_params_list, __pyx_v_grads_list, __pyx_t_2};
    __pyx_t_9 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-__pyx_t_13, 3+__pyx_t_13); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 972, __pyx_L1_error)
    __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  } else
  #endif
  {
    __pyx_t_5 = PyTuple_New(3+__pyx_t_13); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 972, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    if (__pyx_t_1) {
      __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1); __pyx_t_1 = NULL;
    }
    __Pyx_INCREF(__pyx_v_params_list);
    __Pyx_GIVEREF(__pyx_v_params_list);
    PyTuple_SET_ITEM(__pyx_t_5, 0+__pyx_t_13, __pyx_v_params_list);
    __Pyx_INCREF(__pyx_v_grads_list);
    __Pyx_GIVEREF(__pyx_v_grads_list);
    PyTuple_SET_ITEM(__pyx_t_5, 1+__pyx_t_13, __pyx_v_grads_list);
    __Pyx_GIVEREF(__pyx_t_2);
    PyTuple_SET_ITEM(__pyx_t_5, 2+__pyx_t_13, __pyx_t_2);
    __pyx_t_2 = 0;
    __pyx_t_9 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_5, NULL); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 972, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  }
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF_SET(__pyx_v_params_list, __pyx_t_9);
  __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":977
 *             learning_rate
 *         )
 *         self.__given_conv.graph.weight_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 *         self.__input_conv.graph.weight_arr = params_list.pop(0)
 *         self.__forgot_conv.graph.weight_arr = params_list.pop(0)
 */
  __pyx_t_9 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 977, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 977, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 977, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_5, __pyx_n_s_weight_arr, __pyx_t_9) < 0) __PYX_ERR(0, 977, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":978
 *         )
 *         self.__given_conv.graph.weight_arr = params_list.pop(0)
 *         self.__input_conv.graph.weight_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 *         self.__forgot_conv.graph.weight_arr = params_list.pop(0)
 *         self.__output_conv.graph.weight_arr = params_list.pop(0)
 */
  __pyx_t_5 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 978, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 978, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 978, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_4, __pyx_n_s_weight_arr, __pyx_t_5) < 0) __PYX_ERR(0, 978, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":979
 *         self.__given_conv.graph.weight_arr = params_list.pop(0)
 *         self.__input_conv.graph.weight_arr = params_list.pop(0)
 *         self.__forgot_conv.graph.weight_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 *         self.__output_conv.graph.weight_arr = params_list.pop(0)
 * 
 */
  __pyx_t_4 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 979, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 979, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 979, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_9, __pyx_n_s_weight_arr, __pyx_t_4) < 0) __PYX_ERR(0, 979, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":980
 *         self.__input_conv.graph.weight_arr = params_list.pop(0)
 *         self.__forgot_conv.graph.weight_arr = params_list.pop(0)
 *         self.__output_conv.graph.weight_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 * 
 *         self.__given_conv.graph.bias_arr = params_list.pop(0)
 */
  __pyx_t_9 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 980, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 980, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 980, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_5, __pyx_n_s_weight_arr, __pyx_t_9) < 0) __PYX_ERR(0, 980, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":982
 *         self.__output_conv.graph.weight_arr = params_list.pop(0)
 * 
 *         self.__given_conv.graph.bias_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 *         self.__input_conv.graph.bias_arr = params_list.pop(0)
 *         self.__forgot_conv.graph.bias_arr = params_list.pop(0)
 */
  __pyx_t_5 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 982, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 982, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 982, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_4, __pyx_n_s_bias_arr, __pyx_t_5) < 0) __PYX_ERR(0, 982, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":983
 * 
 *         self.__given_conv.graph.bias_arr = params_list.pop(0)
 *         self.__input_conv.graph.bias_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 *         self.__forgot_conv.graph.bias_arr = params_list.pop(0)
 *         self.__output_conv.graph.bias_arr = params_list.pop(0)
 */
  __pyx_t_4 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 983, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 983, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 983, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_9, __pyx_n_s_bias_arr, __pyx_t_4) < 0) __PYX_ERR(0, 983, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":984
 *         self.__given_conv.graph.bias_arr = params_list.pop(0)
 *         self.__input_conv.graph.bias_arr = params_list.pop(0)
 *         self.__forgot_conv.graph.bias_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 *         self.__output_conv.graph.bias_arr = params_list.pop(0)
 * 
 */
  __pyx_t_9 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 984, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 984, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 984, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_5, __pyx_n_s_bias_arr, __pyx_t_9) < 0) __PYX_ERR(0, 984, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":985
 *         self.__input_conv.graph.bias_arr = params_list.pop(0)
 *         self.__forgot_conv.graph.bias_arr = params_list.pop(0)
 *         self.__output_conv.graph.bias_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 * 
 *         if self.__given_conv.graph.activation_function.batch_norm is not None:
 */
  __pyx_t_5 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 985, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 985, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 985, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  if (__Pyx_PyObject_SetAttrStr(__pyx_t_4, __pyx_n_s_bias_arr, __pyx_t_5) < 0) __PYX_ERR(0, 985, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":987
 *         self.__output_conv.graph.bias_arr = params_list.pop(0)
 * 
 *         if self.__given_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__given_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 */
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 987, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 987, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 987, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 987, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_10 = (__pyx_t_5 != Py_None);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_11 = (__pyx_t_10 != 0);
  if (__pyx_t_11) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":988
 * 
 *         if self.__given_conv.graph.activation_function.batch_norm is not None:
 *             self.__given_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 *         if self.__input_conv.graph.activation_function.batch_norm is not None:
 */
    __pyx_t_5 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 988, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 988, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 988, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 988, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 988, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_9, __pyx_n_s_beta_arr, __pyx_t_5) < 0) __PYX_ERR(0, 988, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":989
 *         if self.__given_conv.graph.activation_function.batch_norm is not None:
 *             self.__given_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__given_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 *         if self.__input_conv.graph.activation_function.batch_norm is not None:
 *             self.__input_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 */
    __pyx_t_9 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 989, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 989, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 989, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 989, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 989, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_4, __pyx_n_s_gamma_arr, __pyx_t_9) < 0) __PYX_ERR(0, 989, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":987
 *         self.__output_conv.graph.bias_arr = params_list.pop(0)
 * 
 *         if self.__given_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__given_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":990
 *             self.__given_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__given_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 *         if self.__input_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             self.__input_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__input_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 */
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 990, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 990, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 990, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 990, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_11 = (__pyx_t_9 != Py_None);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_10 = (__pyx_t_11 != 0);
  if (__pyx_t_10) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":991
 *             self.__given_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 *         if self.__input_conv.graph.activation_function.batch_norm is not None:
 *             self.__input_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 *             self.__input_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 *         if self.__forgot_conv.graph.activation_function.batch_norm is not None:
 */
    __pyx_t_9 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 991, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 991, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 991, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 991, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 991, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_5, __pyx_n_s_beta_arr, __pyx_t_9) < 0) __PYX_ERR(0, 991, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":992
 *         if self.__input_conv.graph.activation_function.batch_norm is not None:
 *             self.__input_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__input_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 *         if self.__forgot_conv.graph.activation_function.batch_norm is not None:
 *             self.__forgot_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 */
    __pyx_t_5 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 992, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 992, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 992, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 992, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 992, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_4, __pyx_n_s_gamma_arr, __pyx_t_5) < 0) __PYX_ERR(0, 992, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":990
 *             self.__given_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__given_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 *         if self.__input_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             self.__input_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__input_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":993
 *             self.__input_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__input_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 *         if self.__forgot_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             self.__forgot_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__forgot_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 */
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 993, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 993, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 993, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 993, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_10 = (__pyx_t_5 != Py_None);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_11 = (__pyx_t_10 != 0);
  if (__pyx_t_11) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":994
 *             self.__input_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 *         if self.__forgot_conv.graph.activation_function.batch_norm is not None:
 *             self.__forgot_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 *             self.__forgot_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 *         if self.__output_conv.graph.activation_function.batch_norm is not None:
 */
    __pyx_t_5 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 994, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 994, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 994, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 994, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 994, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_9, __pyx_n_s_beta_arr, __pyx_t_5) < 0) __PYX_ERR(0, 994, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":995
 *         if self.__forgot_conv.graph.activation_function.batch_norm is not None:
 *             self.__forgot_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__forgot_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 *         if self.__output_conv.graph.activation_function.batch_norm is not None:
 *             self.__output_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 */
    __pyx_t_9 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 995, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 995, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 995, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 995, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 995, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_4, __pyx_n_s_gamma_arr, __pyx_t_9) < 0) __PYX_ERR(0, 995, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":993
 *             self.__input_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__input_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 *         if self.__forgot_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             self.__forgot_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__forgot_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":996
 *             self.__forgot_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__forgot_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 *         if self.__output_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             self.__output_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__output_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 */
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 996, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 996, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 996, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 996, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_11 = (__pyx_t_9 != Py_None);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_10 = (__pyx_t_11 != 0);
  if (__pyx_t_10) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":997
 *             self.__forgot_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 *         if self.__output_conv.graph.activation_function.batch_norm is not None:
 *             self.__output_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 *             self.__output_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 * 
 */
    __pyx_t_9 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 997, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 997, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 997, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 997, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 997, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_5, __pyx_n_s_beta_arr, __pyx_t_9) < 0) __PYX_ERR(0, 997, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":998
 *         if self.__output_conv.graph.activation_function.batch_norm is not None:
 *             self.__output_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__output_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)             # <<<<<<<<<<<<<<
 * 
 *         if ((epoch + 1) % self.__attenuate_epoch == 0):
 */
    __pyx_t_5 = __Pyx_PyObject_PopIndex(__pyx_v_params_list, __pyx_int_0, 0, 1, Py_ssize_t, PyInt_FromSsize_t); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 998, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 998, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 998, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_activation_function); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 998, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_batch_norm); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 998, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_4, __pyx_n_s_gamma_arr, __pyx_t_5) < 0) __PYX_ERR(0, 998, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":996
 *             self.__forgot_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__forgot_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 *         if self.__output_conv.graph.activation_function.batch_norm is not None:             # <<<<<<<<<<<<<<
 *             self.__output_conv.graph.activation_function.batch_norm.beta_arr = params_list.pop(0)
 *             self.__output_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1000
 *             self.__output_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 * 
 *         if ((epoch + 1) % self.__attenuate_epoch == 0):             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.weight_arr = self.__opt_params.constrain_weight(
 *                 self.__given_conv.graph.weight_arr
 */
  __pyx_t_4 = __Pyx_PyInt_From_long((__pyx_v_epoch + 1)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1000, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__attenuate_epoch); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1000, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_9 = PyNumber_Remainder(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1000, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyInt_EqObjC(__pyx_t_9, __pyx_int_0, 0, 0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1000, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_10 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely(__pyx_t_10 < 0)) __PYX_ERR(0, 1000, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  if (__pyx_t_10) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1001
 * 
 *         if ((epoch + 1) % self.__attenuate_epoch == 0):
 *             self.__given_conv.graph.weight_arr = self.__opt_params.constrain_weight(             # <<<<<<<<<<<<<<
 *                 self.__given_conv.graph.weight_arr
 *             )
 */
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1001, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_constrain_weight); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1001, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1002
 *         if ((epoch + 1) % self.__attenuate_epoch == 0):
 *             self.__given_conv.graph.weight_arr = self.__opt_params.constrain_weight(
 *                 self.__given_conv.graph.weight_arr             # <<<<<<<<<<<<<<
 *             )
 *             self.__input_conv.graph.weight_arr = self.__opt_params.constrain_weight(
 */
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1002, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1002, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1002, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
      __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_4);
      if (likely(__pyx_t_2)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
        __Pyx_INCREF(__pyx_t_2);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_4, function);
      }
    }
    if (!__pyx_t_2) {
      __pyx_t_5 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_9); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1001, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      __Pyx_GOTREF(__pyx_t_5);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_4)) {
        PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_9};
        __pyx_t_5 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1001, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
        __Pyx_GOTREF(__pyx_t_5);
        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
        PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_9};
        __pyx_t_5 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1001, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
        __Pyx_GOTREF(__pyx_t_5);
        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      } else
      #endif
      {
        __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1001, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_2); __pyx_t_2 = NULL;
        __Pyx_GIVEREF(__pyx_t_9);
        PyTuple_SET_ITEM(__pyx_t_1, 0+1, __pyx_t_9);
        __pyx_t_9 = 0;
        __pyx_t_5 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_1, NULL); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1001, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_5);
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1001
 * 
 *         if ((epoch + 1) % self.__attenuate_epoch == 0):
 *             self.__given_conv.graph.weight_arr = self.__opt_params.constrain_weight(             # <<<<<<<<<<<<<<
 *                 self.__given_conv.graph.weight_arr
 *             )
 */
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1001, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1001, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_1, __pyx_n_s_weight_arr, __pyx_t_5) < 0) __PYX_ERR(0, 1001, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1004
 *                 self.__given_conv.graph.weight_arr
 *             )
 *             self.__input_conv.graph.weight_arr = self.__opt_params.constrain_weight(             # <<<<<<<<<<<<<<
 *                 self.__input_conv.graph.weight_arr
 *             )
 */
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1004, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_constrain_weight); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1004, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1005
 *             )
 *             self.__input_conv.graph.weight_arr = self.__opt_params.constrain_weight(
 *                 self.__input_conv.graph.weight_arr             # <<<<<<<<<<<<<<
 *             )
 *             self.__forgot_conv.graph.weight_arr = self.__opt_params.constrain_weight(
 */
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1005, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1005, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1005, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __pyx_t_9 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
      __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_4);
      if (likely(__pyx_t_9)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
        __Pyx_INCREF(__pyx_t_9);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_4, function);
      }
    }
    if (!__pyx_t_9) {
      __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_5); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1004, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_4)) {
        PyObject *__pyx_temp[2] = {__pyx_t_9, __pyx_t_5};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1004, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
        PyObject *__pyx_temp[2] = {__pyx_t_9, __pyx_t_5};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1004, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_9); __pyx_t_9 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      } else
      #endif
      {
        __pyx_t_2 = PyTuple_New(1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1004, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_GIVEREF(__pyx_t_9); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_9); __pyx_t_9 = NULL;
        __Pyx_GIVEREF(__pyx_t_5);
        PyTuple_SET_ITEM(__pyx_t_2, 0+1, __pyx_t_5);
        __pyx_t_5 = 0;
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_2, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1004, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1004
 *                 self.__given_conv.graph.weight_arr
 *             )
 *             self.__input_conv.graph.weight_arr = self.__opt_params.constrain_weight(             # <<<<<<<<<<<<<<
 *                 self.__input_conv.graph.weight_arr
 *             )
 */
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1004, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1004, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_2, __pyx_n_s_weight_arr, __pyx_t_1) < 0) __PYX_ERR(0, 1004, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1007
 *                 self.__input_conv.graph.weight_arr
 *             )
 *             self.__forgot_conv.graph.weight_arr = self.__opt_params.constrain_weight(             # <<<<<<<<<<<<<<
 *                 self.__forgot_conv.graph.weight_arr
 *             )
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1007, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_constrain_weight); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1007, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1008
 *             )
 *             self.__forgot_conv.graph.weight_arr = self.__opt_params.constrain_weight(
 *                 self.__forgot_conv.graph.weight_arr             # <<<<<<<<<<<<<<
 *             )
 *             self.__output_conv.graph.weight_arr = self.__opt_params.constrain_weight(
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1008, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1008, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1008, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
      __pyx_t_5 = PyMethod_GET_SELF(__pyx_t_4);
      if (likely(__pyx_t_5)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
        __Pyx_INCREF(__pyx_t_5);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_4, function);
      }
    }
    if (!__pyx_t_5) {
      __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1007, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_2);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_4)) {
        PyObject *__pyx_temp[2] = {__pyx_t_5, __pyx_t_1};
        __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1007, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
        PyObject *__pyx_temp[2] = {__pyx_t_5, __pyx_t_1};
        __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1007, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_5); __pyx_t_5 = 0;
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      } else
      #endif
      {
        __pyx_t_9 = PyTuple_New(1+1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1007, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_9);
        __Pyx_GIVEREF(__pyx_t_5); PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_5); __pyx_t_5 = NULL;
        __Pyx_GIVEREF(__pyx_t_1);
        PyTuple_SET_ITEM(__pyx_t_9, 0+1, __pyx_t_1);
        __pyx_t_1 = 0;
        __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_9, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1007, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1007
 *                 self.__input_conv.graph.weight_arr
 *             )
 *             self.__forgot_conv.graph.weight_arr = self.__opt_params.constrain_weight(             # <<<<<<<<<<<<<<
 *                 self.__forgot_conv.graph.weight_arr
 *             )
 */
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1007, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1007, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_9, __pyx_n_s_weight_arr, __pyx_t_2) < 0) __PYX_ERR(0, 1007, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1010
 *                 self.__forgot_conv.graph.weight_arr
 *             )
 *             self.__output_conv.graph.weight_arr = self.__opt_params.constrain_weight(             # <<<<<<<<<<<<<<
 *                 self.__output_conv.graph.weight_arr
 *             )
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1010, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_constrain_weight); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1010, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1011
 *             )
 *             self.__output_conv.graph.weight_arr = self.__opt_params.constrain_weight(
 *                 self.__output_conv.graph.weight_arr             # <<<<<<<<<<<<<<
 *             )
 * 
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1011, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_graph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1011, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_weight_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1011, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __pyx_t_1 = NULL;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
      __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_4);
      if (likely(__pyx_t_1)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
        __Pyx_INCREF(__pyx_t_1);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_4, function);
      }
    }
    if (!__pyx_t_1) {
      __pyx_t_9 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_2); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1010, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_GOTREF(__pyx_t_9);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_4)) {
        PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_2};
        __pyx_t_9 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1010, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
        __Pyx_GOTREF(__pyx_t_9);
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
        PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_2};
        __pyx_t_9 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1010, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
        __Pyx_GOTREF(__pyx_t_9);
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      } else
      #endif
      {
        __pyx_t_5 = PyTuple_New(1+1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1010, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_5);
        __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_5, 0, __pyx_t_1); __pyx_t_1 = NULL;
        __Pyx_GIVEREF(__pyx_t_2);
        PyTuple_SET_ITEM(__pyx_t_5, 0+1, __pyx_t_2);
        __pyx_t_2 = 0;
        __pyx_t_9 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_5, NULL); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1010, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_9);
        __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1010
 *                 self.__forgot_conv.graph.weight_arr
 *             )
 *             self.__output_conv.graph.weight_arr = self.__opt_params.constrain_weight(             # <<<<<<<<<<<<<<
 *                 self.__output_conv.graph.weight_arr
 *             )
 */
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1010, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1010, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_5, __pyx_n_s_weight_arr, __pyx_t_9) < 0) __PYX_ERR(0, 1010, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1000
 *             self.__output_conv.graph.activation_function.batch_norm.gamma_arr = params_list.pop(0)
 * 
 *         if ((epoch + 1) % self.__attenuate_epoch == 0):             # <<<<<<<<<<<<<<
 *             self.__given_conv.graph.weight_arr = self.__opt_params.constrain_weight(
 *                 self.__given_conv.graph.weight_arr
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1014
 *             )
 * 
 *         self.__given_conv.reset_delta()             # <<<<<<<<<<<<<<
 *         self.__input_conv.reset_delta()
 *         self.__forgot_conv.reset_delta()
 */
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1014, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_reset_delta); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1014, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_9 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_9)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_9);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
    }
  }
  if (__pyx_t_9) {
    __pyx_t_5 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_9); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1014, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  } else {
    __pyx_t_5 = __Pyx_PyObject_CallNoArg(__pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1014, __pyx_L1_error)
  }
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1015
 * 
 *         self.__given_conv.reset_delta()
 *         self.__input_conv.reset_delta()             # <<<<<<<<<<<<<<
 *         self.__forgot_conv.reset_delta()
 *         self.__output_conv.reset_delta()
 */
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1015, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_reset_delta); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1015, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_9);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_9, function);
    }
  }
  if (__pyx_t_4) {
    __pyx_t_5 = __Pyx_PyObject_CallOneArg(__pyx_t_9, __pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1015, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  } else {
    __pyx_t_5 = __Pyx_PyObject_CallNoArg(__pyx_t_9); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1015, __pyx_L1_error)
  }
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1016
 *         self.__given_conv.reset_delta()
 *         self.__input_conv.reset_delta()
 *         self.__forgot_conv.reset_delta()             # <<<<<<<<<<<<<<
 *         self.__output_conv.reset_delta()
 * 
 */
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1016, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_reset_delta); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1016, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __pyx_t_9 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_9 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_9)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_9);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
    }
  }
  if (__pyx_t_9) {
    __pyx_t_5 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_9); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1016, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  } else {
    __pyx_t_5 = __Pyx_PyObject_CallNoArg(__pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1016, __pyx_L1_error)
  }
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1017
 *         self.__input_conv.reset_delta()
 *         self.__forgot_conv.reset_delta()
 *         self.__output_conv.reset_delta()             # <<<<<<<<<<<<<<
 * 
 *     def inference(
 */
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1017, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_reset_delta); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1017, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __pyx_t_4 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_9))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_9);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_9);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_9, function);
    }
  }
  if (__pyx_t_4) {
    __pyx_t_5 = __Pyx_PyObject_CallOneArg(__pyx_t_9, __pyx_t_4); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1017, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  } else {
    __pyx_t_5 = __Pyx_PyObject_CallNoArg(__pyx_t_9); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1017, __pyx_L1_error)
  }
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":870
 *         return (delta_arr, grads_list)
 * 
 *     def optimize(             # <<<<<<<<<<<<<<
 *         self,
 *         grads_list,
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_XDECREF(__pyx_t_9);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.optimize", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_params_list);
  __Pyx_XDECREF(__pyx_v_grads_list);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1019
 *         self.__output_conv.reset_delta()
 * 
 *     def inference(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray observed_arr,
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_19inference(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_18inference[] = "\n        Inference the feature points to reconstruct the time-series.\n\n        Override.\n\n        Args:\n            observed_arr:           Array like or sparse matrix as the observed data points.\n            hidden_activity_arr:    Array like or sparse matrix as the state in hidden layer.\n            cec_activity_arr:       Array like or sparse matrix as the state in RNN.\n\n        Returns:\n            Tuple data.\n            - Array like or sparse matrix of reconstructed instances of time-series,\n            - Array like or sparse matrix of the state in hidden layer,\n            - Array like or sparse matrix of the state in RNN.\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_19inference = {"inference", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_19inference, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_18inference};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_19inference(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyArrayObject *__pyx_v_observed_arr = 0;
  PyArrayObject *__pyx_v_hidden_activity_arr = 0;
  PyArrayObject *__pyx_v_cec_activity_arr = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("inference (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_observed_arr,&__pyx_n_s_hidden_activity_arr,&__pyx_n_s_cec_activity_arr,0};
    PyObject* values[4] = {0,0,0,0};

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1022
 *         self,
 *         np.ndarray observed_arr,
 *         np.ndarray hidden_activity_arr=None,             # <<<<<<<<<<<<<<
 *         np.ndarray cec_activity_arr=None
 *     ):
 */
    values[2] = (PyObject *)((PyArrayObject *)((PyObject *)Py_None));

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1023
 *         np.ndarray observed_arr,
 *         np.ndarray hidden_activity_arr=None,
 *         np.ndarray cec_activity_arr=None             # <<<<<<<<<<<<<<
 *     ):
 *         '''
 */
    values[3] = (PyObject *)((PyArrayObject *)((PyObject *)Py_None));
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_observed_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("inference", 0, 2, 4, 1); __PYX_ERR(0, 1019, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_hidden_activity_arr);
          if (value) { values[2] = value; kw_args--; }
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_cec_activity_arr);
          if (value) { values[3] = value; kw_args--; }
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "inference") < 0)) __PYX_ERR(0, 1019, __pyx_L3_error)
      }
    } else {
      switch (PyTuple_GET_SIZE(__pyx_args)) {
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        break;
        default: goto __pyx_L5_argtuple_error;
      }
    }
    __pyx_v_self = values[0];
    __pyx_v_observed_arr = ((PyArrayObject *)values[1]);
    __pyx_v_hidden_activity_arr = ((PyArrayObject *)values[2]);
    __pyx_v_cec_activity_arr = ((PyArrayObject *)values[3]);
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("inference", 0, 2, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1019, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.inference", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_observed_arr), __pyx_ptype_5numpy_ndarray, 1, "observed_arr", 0))) __PYX_ERR(0, 1021, __pyx_L1_error)
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_hidden_activity_arr), __pyx_ptype_5numpy_ndarray, 1, "hidden_activity_arr", 0))) __PYX_ERR(0, 1022, __pyx_L1_error)
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_cec_activity_arr), __pyx_ptype_5numpy_ndarray, 1, "cec_activity_arr", 0))) __PYX_ERR(0, 1023, __pyx_L1_error)
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_18inference(__pyx_self, __pyx_v_self, __pyx_v_observed_arr, __pyx_v_hidden_activity_arr, __pyx_v_cec_activity_arr);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1019
 *         self.__output_conv.reset_delta()
 * 
 *     def inference(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray observed_arr,
 */

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_18inference(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_observed_arr, PyArrayObject *__pyx_v_hidden_activity_arr, PyArrayObject *__pyx_v_cec_activity_arr) {
  CYTHON_UNUSED int __pyx_v_sample_n;
  CYTHON_UNUSED int __pyx_v_cycle_len;
  PyArrayObject *__pyx_v_pred_arr = 0;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  int __pyx_t_1;
  int __pyx_t_2;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  __Pyx_RefNannySetupContext("inference", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1041
 *             - Array like or sparse matrix of the state in RNN.
 *         '''
 *         cdef int sample_n = observed_arr.shape[0]             # <<<<<<<<<<<<<<
 *         cdef int cycle_len = observed_arr.shape[1]
 * 
 */
  __pyx_v_sample_n = (__pyx_v_observed_arr->dimensions[0]);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1042
 *         '''
 *         cdef int sample_n = observed_arr.shape[0]
 *         cdef int cycle_len = observed_arr.shape[1]             # <<<<<<<<<<<<<<
 * 
 *         if hidden_activity_arr is None:
 */
  __pyx_v_cycle_len = (__pyx_v_observed_arr->dimensions[1]);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1044
 *         cdef int cycle_len = observed_arr.shape[1]
 * 
 *         if hidden_activity_arr is None:             # <<<<<<<<<<<<<<
 *             self.graph.hidden_activity_arr = np.array([])
 *         else:
 */
  __pyx_t_1 = (((PyObject *)__pyx_v_hidden_activity_arr) == Py_None);
  __pyx_t_2 = (__pyx_t_1 != 0);
  if (__pyx_t_2) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1045
 * 
 *         if hidden_activity_arr is None:
 *             self.graph.hidden_activity_arr = np.array([])             # <<<<<<<<<<<<<<
 *         else:
 *             self.graph.hidden_activity_arr = hidden_activity_arr
 */
    __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1045, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_array); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1045, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_4 = PyList_New(0); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1045, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_6 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) {
      __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
      if (likely(__pyx_t_6)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
        __Pyx_INCREF(__pyx_t_6);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_5, function);
      }
    }
    if (!__pyx_t_6) {
      __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1045, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __Pyx_GOTREF(__pyx_t_3);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_4};
        __pyx_t_3 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1045, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
        PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_4};
        __pyx_t_3 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1045, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      } else
      #endif
      {
        __pyx_t_7 = PyTuple_New(1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1045, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_7);
        __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_6); __pyx_t_6 = NULL;
        __Pyx_GIVEREF(__pyx_t_4);
        PyTuple_SET_ITEM(__pyx_t_7, 0+1, __pyx_t_4);
        __pyx_t_4 = 0;
        __pyx_t_3 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_7, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1045, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1045, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_5, __pyx_n_s_hidden_activity_arr, __pyx_t_3) < 0) __PYX_ERR(0, 1045, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1044
 *         cdef int cycle_len = observed_arr.shape[1]
 * 
 *         if hidden_activity_arr is None:             # <<<<<<<<<<<<<<
 *             self.graph.hidden_activity_arr = np.array([])
 *         else:
 */
    goto __pyx_L3;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1047
 *             self.graph.hidden_activity_arr = np.array([])
 *         else:
 *             self.graph.hidden_activity_arr = hidden_activity_arr             # <<<<<<<<<<<<<<
 * 
 *         if cec_activity_arr is None:
 */
  /*else*/ {
    __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1047, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_5);
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_5, __pyx_n_s_hidden_activity_arr, ((PyObject *)__pyx_v_hidden_activity_arr)) < 0) __PYX_ERR(0, 1047, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  }
  __pyx_L3:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1049
 *             self.graph.hidden_activity_arr = hidden_activity_arr
 * 
 *         if cec_activity_arr is None:             # <<<<<<<<<<<<<<
 *             self.graph.cec_activity_arr = np.array([])
 *         else:
 */
  __pyx_t_2 = (((PyObject *)__pyx_v_cec_activity_arr) == Py_None);
  __pyx_t_1 = (__pyx_t_2 != 0);
  if (__pyx_t_1) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1050
 * 
 *         if cec_activity_arr is None:
 *             self.graph.cec_activity_arr = np.array([])             # <<<<<<<<<<<<<<
 *         else:
 *             self.graph.cec_activity_arr = cec_activity_arr
 */
    __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1050, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_array); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1050, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __pyx_t_3 = PyList_New(0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1050, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_7))) {
      __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_7);
      if (likely(__pyx_t_4)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_7);
        __Pyx_INCREF(__pyx_t_4);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_7, function);
      }
    }
    if (!__pyx_t_4) {
      __pyx_t_5 = __Pyx_PyObject_CallOneArg(__pyx_t_7, __pyx_t_3); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1050, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_GOTREF(__pyx_t_5);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_7)) {
        PyObject *__pyx_temp[2] = {__pyx_t_4, __pyx_t_3};
        __pyx_t_5 = __Pyx_PyFunction_FastCall(__pyx_t_7, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1050, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_GOTREF(__pyx_t_5);
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_7)) {
        PyObject *__pyx_temp[2] = {__pyx_t_4, __pyx_t_3};
        __pyx_t_5 = __Pyx_PyCFunction_FastCall(__pyx_t_7, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1050, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
        __Pyx_GOTREF(__pyx_t_5);
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      } else
      #endif
      {
        __pyx_t_6 = PyTuple_New(1+1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1050, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_6);
        __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_4); __pyx_t_4 = NULL;
        __Pyx_GIVEREF(__pyx_t_3);
        PyTuple_SET_ITEM(__pyx_t_6, 0+1, __pyx_t_3);
        __pyx_t_3 = 0;
        __pyx_t_5 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_6, NULL); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1050, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_5);
        __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1050, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_7, __pyx_n_s_cec_activity_arr, __pyx_t_5) < 0) __PYX_ERR(0, 1050, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1049
 *             self.graph.hidden_activity_arr = hidden_activity_arr
 * 
 *         if cec_activity_arr is None:             # <<<<<<<<<<<<<<
 *             self.graph.cec_activity_arr = np.array([])
 *         else:
 */
    goto __pyx_L4;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1052
 *             self.graph.cec_activity_arr = np.array([])
 *         else:
 *             self.graph.cec_activity_arr = cec_activity_arr             # <<<<<<<<<<<<<<
 * 
 *         cdef np.ndarray pred_arr = self.forward_propagation(observed_arr)
 */
  /*else*/ {
    __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1052, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
    if (__Pyx_PyObject_SetAttrStr(__pyx_t_7, __pyx_n_s_cec_activity_arr, ((PyObject *)__pyx_v_cec_activity_arr)) < 0) __PYX_ERR(0, 1052, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  }
  __pyx_L4:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1054
 *             self.graph.cec_activity_arr = cec_activity_arr
 * 
 *         cdef np.ndarray pred_arr = self.forward_propagation(observed_arr)             # <<<<<<<<<<<<<<
 *         return pred_arr
 * 
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_forward_propagation); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1054, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_6 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_6)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_6);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  if (!__pyx_t_6) {
    __pyx_t_7 = __Pyx_PyObject_CallOneArg(__pyx_t_5, ((PyObject *)__pyx_v_observed_arr)); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1054, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_7);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_6, ((PyObject *)__pyx_v_observed_arr)};
      __pyx_t_7 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1054, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_7);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_6, ((PyObject *)__pyx_v_observed_arr)};
      __pyx_t_7 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1054, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_7);
    } else
    #endif
    {
      __pyx_t_3 = PyTuple_New(1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1054, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_6); __pyx_t_6 = NULL;
      __Pyx_INCREF(((PyObject *)__pyx_v_observed_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_observed_arr));
      PyTuple_SET_ITEM(__pyx_t_3, 0+1, ((PyObject *)__pyx_v_observed_arr));
      __pyx_t_7 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_3, NULL); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1054, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  if (!(likely(((__pyx_t_7) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_7, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1054, __pyx_L1_error)
  __pyx_v_pred_arr = ((PyArrayObject *)__pyx_t_7);
  __pyx_t_7 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1055
 * 
 *         cdef np.ndarray pred_arr = self.forward_propagation(observed_arr)
 *         return pred_arr             # <<<<<<<<<<<<<<
 * 
 *     def get_feature_points(self):
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
  __pyx_r = ((PyObject *)__pyx_v_pred_arr);
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1019
 *         self.__output_conv.reset_delta()
 * 
 *     def inference(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray observed_arr,
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.inference", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF((PyObject *)__pyx_v_pred_arr);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1057
 *         return pred_arr
 * 
 *     def get_feature_points(self):             # <<<<<<<<<<<<<<
 *         '''
 *         Extract the activities in hidden layer and reset it,
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_21get_feature_points(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_20get_feature_points[] = "\n        Extract the activities in hidden layer and reset it, \n        considering this method will be called per one cycle in instances of time-series.\n\n        Returns:\n            The `list` of array like or sparse matrix of feature points or virtual visible observed data points.\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_21get_feature_points = {"get_feature_points", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_21get_feature_points, METH_O, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_20get_feature_points};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_21get_feature_points(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("get_feature_points (wrapper)", 0);
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_20get_feature_points(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_20get_feature_points(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  __Pyx_RefNannySetupContext("get_feature_points", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1065
 *             The `list` of array like or sparse matrix of feature points or virtual visible observed data points.
 *         '''
 *         return self.graph.hidden_activity_arr             # <<<<<<<<<<<<<<
 * 
 *     def hidden_forward_propagate(self, np.ndarray[DOUBLE_t, ndim=5] observed_arr):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1065, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_hidden_activity_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1065, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_r = __pyx_t_2;
  __pyx_t_2 = 0;
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1057
 *         return pred_arr
 * 
 *     def get_feature_points(self):             # <<<<<<<<<<<<<<
 *         '''
 *         Extract the activities in hidden layer and reset it,
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.get_feature_points", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1067
 *         return self.graph.hidden_activity_arr
 * 
 *     def hidden_forward_propagate(self, np.ndarray[DOUBLE_t, ndim=5] observed_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Forward propagation in LSTM gate.
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_23hidden_forward_propagate(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_22hidden_forward_propagate[] = "\n        Forward propagation in LSTM gate.\n        \n        Args:\n            observed_arr:    `np.ndarray` of observed data points.\n        \n        Returns:\n            Predicted data points.\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_23hidden_forward_propagate = {"hidden_forward_propagate", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_23hidden_forward_propagate, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_22hidden_forward_propagate};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_23hidden_forward_propagate(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyArrayObject *__pyx_v_observed_arr = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("hidden_forward_propagate (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_observed_arr,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_observed_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("hidden_forward_propagate", 1, 2, 2, 1); __PYX_ERR(0, 1067, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "hidden_forward_propagate") < 0)) __PYX_ERR(0, 1067, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_observed_arr = ((PyArrayObject *)values[1]);
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("hidden_forward_propagate", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1067, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.hidden_forward_propagate", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_observed_arr), __pyx_ptype_5numpy_ndarray, 1, "observed_arr", 0))) __PYX_ERR(0, 1067, __pyx_L1_error)
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_22hidden_forward_propagate(__pyx_self, __pyx_v_self, __pyx_v_observed_arr);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_22hidden_forward_propagate(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_observed_arr) {
  CYTHON_UNUSED int __pyx_v_sample_n;
  int __pyx_v_cycle_len;
  CYTHON_UNUSED int __pyx_v_channel;
  CYTHON_UNUSED int __pyx_v_width;
  CYTHON_UNUSED int __pyx_v_height;
  PyArrayObject *__pyx_v_pred_arr = 0;
  int __pyx_v_cycle;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_observed_arr;
  __Pyx_Buffer __pyx_pybuffer_observed_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_pred_arr;
  __Pyx_Buffer __pyx_pybuffer_pred_arr;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  int __pyx_t_3;
  int __pyx_t_4;
  PyArrayObject *__pyx_t_5 = NULL;
  int __pyx_t_6;
  int __pyx_t_7;
  int __pyx_t_8;
  PyObject *__pyx_t_9 = NULL;
  PyObject *__pyx_t_10 = NULL;
  PyObject *__pyx_t_11 = NULL;
  PyObject *__pyx_t_12 = NULL;
  int __pyx_t_13;
  PyObject *__pyx_t_14 = NULL;
  PyObject *(*__pyx_t_15)(PyObject *);
  PyObject *__pyx_t_16 = NULL;
  PyObject *__pyx_t_17 = NULL;
  PyObject *__pyx_t_18 = NULL;
  __Pyx_RefNannySetupContext("hidden_forward_propagate", 0);
  __pyx_pybuffer_pred_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_pred_arr.refcount = 0;
  __pyx_pybuffernd_pred_arr.data = NULL;
  __pyx_pybuffernd_pred_arr.rcbuffer = &__pyx_pybuffer_pred_arr;
  __pyx_pybuffer_observed_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_observed_arr.refcount = 0;
  __pyx_pybuffernd_observed_arr.data = NULL;
  __pyx_pybuffernd_observed_arr.rcbuffer = &__pyx_pybuffer_observed_arr;
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_observed_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_observed_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) __PYX_ERR(0, 1067, __pyx_L1_error)
  }
  __pyx_pybuffernd_observed_arr.diminfo[0].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_observed_arr.diminfo[0].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_observed_arr.diminfo[1].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_observed_arr.diminfo[1].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_observed_arr.diminfo[2].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_observed_arr.diminfo[2].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_observed_arr.diminfo[3].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_observed_arr.diminfo[3].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_observed_arr.diminfo[4].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_observed_arr.diminfo[4].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[4];

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1077
 *             Predicted data points.
 *         '''
 *         cdef int sample_n = observed_arr.shape[0]             # <<<<<<<<<<<<<<
 *         cdef int cycle_len
 *         if self.__seq_len == 0:
 */
  __pyx_v_sample_n = (__pyx_v_observed_arr->dimensions[0]);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1079
 *         cdef int sample_n = observed_arr.shape[0]
 *         cdef int cycle_len
 *         if self.__seq_len == 0:             # <<<<<<<<<<<<<<
 *             cycle_len = observed_arr.shape[1]
 *         else:
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__seq_len); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1079, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyInt_EqObjC(__pyx_t_1, __pyx_int_0, 0, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1079, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 1079, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (__pyx_t_3) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1080
 *         cdef int cycle_len
 *         if self.__seq_len == 0:
 *             cycle_len = observed_arr.shape[1]             # <<<<<<<<<<<<<<
 *         else:
 *             cycle_len = self.__seq_len
 */
    __pyx_v_cycle_len = (__pyx_v_observed_arr->dimensions[1]);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1079
 *         cdef int sample_n = observed_arr.shape[0]
 *         cdef int cycle_len
 *         if self.__seq_len == 0:             # <<<<<<<<<<<<<<
 *             cycle_len = observed_arr.shape[1]
 *         else:
 */
    goto __pyx_L3;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1082
 *             cycle_len = observed_arr.shape[1]
 *         else:
 *             cycle_len = self.__seq_len             # <<<<<<<<<<<<<<
 * 
 *         cdef int channel = observed_arr.shape[2]
 */
  /*else*/ {
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__seq_len); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1082, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_2); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 1082, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_v_cycle_len = __pyx_t_4;
  }
  __pyx_L3:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1084
 *             cycle_len = self.__seq_len
 * 
 *         cdef int channel = observed_arr.shape[2]             # <<<<<<<<<<<<<<
 *         cdef int width = observed_arr.shape[3]
 *         cdef int height = observed_arr.shape[4]
 */
  __pyx_v_channel = (__pyx_v_observed_arr->dimensions[2]);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1085
 * 
 *         cdef int channel = observed_arr.shape[2]
 *         cdef int width = observed_arr.shape[3]             # <<<<<<<<<<<<<<
 *         cdef int height = observed_arr.shape[4]
 * 
 */
  __pyx_v_width = (__pyx_v_observed_arr->dimensions[3]);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1086
 *         cdef int channel = observed_arr.shape[2]
 *         cdef int width = observed_arr.shape[3]
 *         cdef int height = observed_arr.shape[4]             # <<<<<<<<<<<<<<
 * 
 *         self.__cycle_len = cycle_len
 */
  __pyx_v_height = (__pyx_v_observed_arr->dimensions[4]);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1088
 *         cdef int height = observed_arr.shape[4]
 * 
 *         self.__cycle_len = cycle_len             # <<<<<<<<<<<<<<
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=5] pred_arr = None
 */
  __pyx_t_2 = __Pyx_PyInt_From_int(__pyx_v_cycle_len); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1088, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__cycle_len, __pyx_t_2) < 0) __PYX_ERR(0, 1088, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1090
 *         self.__cycle_len = cycle_len
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=5] pred_arr = None             # <<<<<<<<<<<<<<
 *         cdef int cycle
 *         for cycle in range(cycle_len):
 */
  __pyx_t_5 = ((PyArrayObject *)Py_None);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_5, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) {
      __pyx_v_pred_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1090, __pyx_L1_error)
    } else {__pyx_pybuffernd_pred_arr.diminfo[0].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_pred_arr.diminfo[0].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_pred_arr.diminfo[1].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_pred_arr.diminfo[1].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_pred_arr.diminfo[2].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_pred_arr.diminfo[2].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_pred_arr.diminfo[3].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_pred_arr.diminfo[3].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_pred_arr.diminfo[4].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_pred_arr.diminfo[4].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[4];
    }
  }
  __pyx_t_5 = 0;
  __Pyx_INCREF(Py_None);
  __pyx_v_pred_arr = ((PyArrayObject *)Py_None);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1092
 *         cdef np.ndarray[DOUBLE_t, ndim=5] pred_arr = None
 *         cdef int cycle
 *         for cycle in range(cycle_len):             # <<<<<<<<<<<<<<
 *             if self.__seq_len > 0 and observed_arr.shape[1] > 1:
 *                 self.graph.hidden_activity_arr, self.graph.cec_activity_arr = self.__lstm_forward(
 */
  __pyx_t_4 = __pyx_v_cycle_len;
  __pyx_t_6 = __pyx_t_4;
  for (__pyx_t_7 = 0; __pyx_t_7 < __pyx_t_6; __pyx_t_7+=1) {
    __pyx_v_cycle = __pyx_t_7;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1093
 *         cdef int cycle
 *         for cycle in range(cycle_len):
 *             if self.__seq_len > 0 and observed_arr.shape[1] > 1:             # <<<<<<<<<<<<<<
 *                 self.graph.hidden_activity_arr, self.graph.cec_activity_arr = self.__lstm_forward(
 *                     observed_arr[:, cycle, :, :, :],
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__seq_len); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1093, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_1 = PyObject_RichCompare(__pyx_t_2, __pyx_int_0, Py_GT); __Pyx_XGOTREF(__pyx_t_1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1093, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_8 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely(__pyx_t_8 < 0)) __PYX_ERR(0, 1093, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    if (__pyx_t_8) {
    } else {
      __pyx_t_3 = __pyx_t_8;
      goto __pyx_L7_bool_binop_done;
    }
    __pyx_t_8 = (((__pyx_v_observed_arr->dimensions[1]) > 1) != 0);
    __pyx_t_3 = __pyx_t_8;
    __pyx_L7_bool_binop_done:;
    if (__pyx_t_3) {

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1094
 *         for cycle in range(cycle_len):
 *             if self.__seq_len > 0 and observed_arr.shape[1] > 1:
 *                 self.graph.hidden_activity_arr, self.graph.cec_activity_arr = self.__lstm_forward(             # <<<<<<<<<<<<<<
 *                     observed_arr[:, cycle, :, :, :],
 *                     self.graph.hidden_activity_arr,
 */
      __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__lstm_forward); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1094, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1095
 *             if self.__seq_len > 0 and observed_arr.shape[1] > 1:
 *                 self.graph.hidden_activity_arr, self.graph.cec_activity_arr = self.__lstm_forward(
 *                     observed_arr[:, cycle, :, :, :],             # <<<<<<<<<<<<<<
 *                     self.graph.hidden_activity_arr,
 *                     self.graph.cec_activity_arr
 */
      __pyx_t_9 = __Pyx_PyInt_From_int(__pyx_v_cycle); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1095, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __pyx_t_10 = PyTuple_New(5); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 1095, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_10);
      __Pyx_INCREF(__pyx_slice__114);
      __Pyx_GIVEREF(__pyx_slice__114);
      PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_slice__114);
      __Pyx_GIVEREF(__pyx_t_9);
      PyTuple_SET_ITEM(__pyx_t_10, 1, __pyx_t_9);
      __Pyx_INCREF(__pyx_slice__115);
      __Pyx_GIVEREF(__pyx_slice__115);
      PyTuple_SET_ITEM(__pyx_t_10, 2, __pyx_slice__115);
      __Pyx_INCREF(__pyx_slice__116);
      __Pyx_GIVEREF(__pyx_slice__116);
      PyTuple_SET_ITEM(__pyx_t_10, 3, __pyx_slice__116);
      __Pyx_INCREF(__pyx_slice__117);
      __Pyx_GIVEREF(__pyx_slice__117);
      PyTuple_SET_ITEM(__pyx_t_10, 4, __pyx_slice__117);
      __pyx_t_9 = 0;
      __pyx_t_9 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_observed_arr), __pyx_t_10); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1095, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1096
 *                 self.graph.hidden_activity_arr, self.graph.cec_activity_arr = self.__lstm_forward(
 *                     observed_arr[:, cycle, :, :, :],
 *                     self.graph.hidden_activity_arr,             # <<<<<<<<<<<<<<
 *                     self.graph.cec_activity_arr
 *                 )
 */
      __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 1096, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_10);
      __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_hidden_activity_arr); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1096, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1097
 *                     observed_arr[:, cycle, :, :, :],
 *                     self.graph.hidden_activity_arr,
 *                     self.graph.cec_activity_arr             # <<<<<<<<<<<<<<
 *                 )
 *             else:
 */
      __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 1097, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_10);
      __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_10, __pyx_n_s_cec_activity_arr); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1097, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
      __pyx_t_10 = NULL;
      __pyx_t_13 = 0;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
        __pyx_t_10 = PyMethod_GET_SELF(__pyx_t_2);
        if (likely(__pyx_t_10)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
          __Pyx_INCREF(__pyx_t_10);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_2, function);
          __pyx_t_13 = 1;
        }
      }
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_2)) {
        PyObject *__pyx_temp[4] = {__pyx_t_10, __pyx_t_9, __pyx_t_11, __pyx_t_12};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_13, 3+__pyx_t_13); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1094, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
        __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
        PyObject *__pyx_temp[4] = {__pyx_t_10, __pyx_t_9, __pyx_t_11, __pyx_t_12};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-__pyx_t_13, 3+__pyx_t_13); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1094, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_10); __pyx_t_10 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
        __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
      } else
      #endif
      {
        __pyx_t_14 = PyTuple_New(3+__pyx_t_13); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 1094, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_14);
        if (__pyx_t_10) {
          __Pyx_GIVEREF(__pyx_t_10); PyTuple_SET_ITEM(__pyx_t_14, 0, __pyx_t_10); __pyx_t_10 = NULL;
        }
        __Pyx_GIVEREF(__pyx_t_9);
        PyTuple_SET_ITEM(__pyx_t_14, 0+__pyx_t_13, __pyx_t_9);
        __Pyx_GIVEREF(__pyx_t_11);
        PyTuple_SET_ITEM(__pyx_t_14, 1+__pyx_t_13, __pyx_t_11);
        __Pyx_GIVEREF(__pyx_t_12);
        PyTuple_SET_ITEM(__pyx_t_14, 2+__pyx_t_13, __pyx_t_12);
        __pyx_t_9 = 0;
        __pyx_t_11 = 0;
        __pyx_t_12 = 0;
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_14, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1094, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
      }
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) {
        PyObject* sequence = __pyx_t_1;
        Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
        if (unlikely(size != 2)) {
          if (size > 2) __Pyx_RaiseTooManyValuesError(2);
          else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
          __PYX_ERR(0, 1094, __pyx_L1_error)
        }
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        if (likely(PyTuple_CheckExact(sequence))) {
          __pyx_t_2 = PyTuple_GET_ITEM(sequence, 0); 
          __pyx_t_14 = PyTuple_GET_ITEM(sequence, 1); 
        } else {
          __pyx_t_2 = PyList_GET_ITEM(sequence, 0); 
          __pyx_t_14 = PyList_GET_ITEM(sequence, 1); 
        }
        __Pyx_INCREF(__pyx_t_2);
        __Pyx_INCREF(__pyx_t_14);
        #else
        __pyx_t_2 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1094, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_2);
        __pyx_t_14 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 1094, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_14);
        #endif
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      } else {
        Py_ssize_t index = -1;
        __pyx_t_12 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1094, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_12);
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
        __pyx_t_15 = Py_TYPE(__pyx_t_12)->tp_iternext;
        index = 0; __pyx_t_2 = __pyx_t_15(__pyx_t_12); if (unlikely(!__pyx_t_2)) goto __pyx_L9_unpacking_failed;
        __Pyx_GOTREF(__pyx_t_2);
        index = 1; __pyx_t_14 = __pyx_t_15(__pyx_t_12); if (unlikely(!__pyx_t_14)) goto __pyx_L9_unpacking_failed;
        __Pyx_GOTREF(__pyx_t_14);
        if (__Pyx_IternextUnpackEndCheck(__pyx_t_15(__pyx_t_12), 2) < 0) __PYX_ERR(0, 1094, __pyx_L1_error)
        __pyx_t_15 = NULL;
        __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
        goto __pyx_L10_unpacking_done;
        __pyx_L9_unpacking_failed:;
        __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
        __pyx_t_15 = NULL;
        if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
        __PYX_ERR(0, 1094, __pyx_L1_error)
        __pyx_L10_unpacking_done:;
      }

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1094
 *         for cycle in range(cycle_len):
 *             if self.__seq_len > 0 and observed_arr.shape[1] > 1:
 *                 self.graph.hidden_activity_arr, self.graph.cec_activity_arr = self.__lstm_forward(             # <<<<<<<<<<<<<<
 *                     observed_arr[:, cycle, :, :, :],
 *                     self.graph.hidden_activity_arr,
 */
      __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1094, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      if (__Pyx_PyObject_SetAttrStr(__pyx_t_12, __pyx_n_s_hidden_activity_arr, __pyx_t_2) < 0) __PYX_ERR(0, 1094, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
      __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1094, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      if (__Pyx_PyObject_SetAttrStr(__pyx_t_12, __pyx_n_s_cec_activity_arr, __pyx_t_14) < 0) __PYX_ERR(0, 1094, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1093
 *         cdef int cycle
 *         for cycle in range(cycle_len):
 *             if self.__seq_len > 0 and observed_arr.shape[1] > 1:             # <<<<<<<<<<<<<<
 *                 self.graph.hidden_activity_arr, self.graph.cec_activity_arr = self.__lstm_forward(
 *                     observed_arr[:, cycle, :, :, :],
 */
      goto __pyx_L6;
    }

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1100
 *                 )
 *             else:
 *                 self.graph.hidden_activity_arr, self.graph.cec_activity_arr = self.__lstm_forward(             # <<<<<<<<<<<<<<
 *                     observed_arr[:, 0, :, :, :],
 *                     self.graph.hidden_activity_arr,
 */
    /*else*/ {
      __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__lstm_forward); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 1100, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_14);

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1101
 *             else:
 *                 self.graph.hidden_activity_arr, self.graph.cec_activity_arr = self.__lstm_forward(
 *                     observed_arr[:, 0, :, :, :],             # <<<<<<<<<<<<<<
 *                     self.graph.hidden_activity_arr,
 *                     self.graph.cec_activity_arr
 */
      __pyx_t_2 = __Pyx_PyObject_GetItem(((PyObject *)__pyx_v_observed_arr), __pyx_tuple__122); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1101, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1102
 *                 self.graph.hidden_activity_arr, self.graph.cec_activity_arr = self.__lstm_forward(
 *                     observed_arr[:, 0, :, :, :],
 *                     self.graph.hidden_activity_arr,             # <<<<<<<<<<<<<<
 *                     self.graph.cec_activity_arr
 *                 )
 */
      __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1102, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_hidden_activity_arr); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1102, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1103
 *                     observed_arr[:, 0, :, :, :],
 *                     self.graph.hidden_activity_arr,
 *                     self.graph.cec_activity_arr             # <<<<<<<<<<<<<<
 *                 )
 * 
 */
      __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1103, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_cec_activity_arr); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1103, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
      __pyx_t_12 = NULL;
      __pyx_t_13 = 0;
      if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_14))) {
        __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_14);
        if (likely(__pyx_t_12)) {
          PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_14);
          __Pyx_INCREF(__pyx_t_12);
          __Pyx_INCREF(function);
          __Pyx_DECREF_SET(__pyx_t_14, function);
          __pyx_t_13 = 1;
        }
      }
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_14)) {
        PyObject *__pyx_temp[4] = {__pyx_t_12, __pyx_t_2, __pyx_t_11, __pyx_t_9};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_14, __pyx_temp+1-__pyx_t_13, 3+__pyx_t_13); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1100, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_14)) {
        PyObject *__pyx_temp[4] = {__pyx_t_12, __pyx_t_2, __pyx_t_11, __pyx_t_9};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_14, __pyx_temp+1-__pyx_t_13, 3+__pyx_t_13); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1100, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
        __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      } else
      #endif
      {
        __pyx_t_10 = PyTuple_New(3+__pyx_t_13); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 1100, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_10);
        if (__pyx_t_12) {
          __Pyx_GIVEREF(__pyx_t_12); PyTuple_SET_ITEM(__pyx_t_10, 0, __pyx_t_12); __pyx_t_12 = NULL;
        }
        __Pyx_GIVEREF(__pyx_t_2);
        PyTuple_SET_ITEM(__pyx_t_10, 0+__pyx_t_13, __pyx_t_2);
        __Pyx_GIVEREF(__pyx_t_11);
        PyTuple_SET_ITEM(__pyx_t_10, 1+__pyx_t_13, __pyx_t_11);
        __Pyx_GIVEREF(__pyx_t_9);
        PyTuple_SET_ITEM(__pyx_t_10, 2+__pyx_t_13, __pyx_t_9);
        __pyx_t_2 = 0;
        __pyx_t_11 = 0;
        __pyx_t_9 = 0;
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_14, __pyx_t_10, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1100, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
      }
      __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
      if ((likely(PyTuple_CheckExact(__pyx_t_1))) || (PyList_CheckExact(__pyx_t_1))) {
        PyObject* sequence = __pyx_t_1;
        Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
        if (unlikely(size != 2)) {
          if (size > 2) __Pyx_RaiseTooManyValuesError(2);
          else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
          __PYX_ERR(0, 1100, __pyx_L1_error)
        }
        #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
        if (likely(PyTuple_CheckExact(sequence))) {
          __pyx_t_14 = PyTuple_GET_ITEM(sequence, 0); 
          __pyx_t_10 = PyTuple_GET_ITEM(sequence, 1); 
        } else {
          __pyx_t_14 = PyList_GET_ITEM(sequence, 0); 
          __pyx_t_10 = PyList_GET_ITEM(sequence, 1); 
        }
        __Pyx_INCREF(__pyx_t_14);
        __Pyx_INCREF(__pyx_t_10);
        #else
        __pyx_t_14 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 1100, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_14);
        __pyx_t_10 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 1100, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_10);
        #endif
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      } else {
        Py_ssize_t index = -1;
        __pyx_t_9 = PyObject_GetIter(__pyx_t_1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1100, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_9);
        __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
        __pyx_t_15 = Py_TYPE(__pyx_t_9)->tp_iternext;
        index = 0; __pyx_t_14 = __pyx_t_15(__pyx_t_9); if (unlikely(!__pyx_t_14)) goto __pyx_L11_unpacking_failed;
        __Pyx_GOTREF(__pyx_t_14);
        index = 1; __pyx_t_10 = __pyx_t_15(__pyx_t_9); if (unlikely(!__pyx_t_10)) goto __pyx_L11_unpacking_failed;
        __Pyx_GOTREF(__pyx_t_10);
        if (__Pyx_IternextUnpackEndCheck(__pyx_t_15(__pyx_t_9), 2) < 0) __PYX_ERR(0, 1100, __pyx_L1_error)
        __pyx_t_15 = NULL;
        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
        goto __pyx_L12_unpacking_done;
        __pyx_L11_unpacking_failed:;
        __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
        __pyx_t_15 = NULL;
        if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
        __PYX_ERR(0, 1100, __pyx_L1_error)
        __pyx_L12_unpacking_done:;
      }

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1100
 *                 )
 *             else:
 *                 self.graph.hidden_activity_arr, self.graph.cec_activity_arr = self.__lstm_forward(             # <<<<<<<<<<<<<<
 *                     observed_arr[:, 0, :, :, :],
 *                     self.graph.hidden_activity_arr,
 */
      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1100, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      if (__Pyx_PyObject_SetAttrStr(__pyx_t_9, __pyx_n_s_hidden_activity_arr, __pyx_t_14) < 0) __PYX_ERR(0, 1100, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1100, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      if (__Pyx_PyObject_SetAttrStr(__pyx_t_9, __pyx_n_s_cec_activity_arr, __pyx_t_10) < 0) __PYX_ERR(0, 1100, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
    }
    __pyx_L6:;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1106
 *                 )
 * 
 *             if pred_arr is None:             # <<<<<<<<<<<<<<
 *                 pred_arr = np.zeros(
 *                     (
 */
    __pyx_t_3 = (((PyObject *)__pyx_v_pred_arr) == Py_None);
    __pyx_t_8 = (__pyx_t_3 != 0);
    if (__pyx_t_8) {

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1107
 * 
 *             if pred_arr is None:
 *                 pred_arr = np.zeros(             # <<<<<<<<<<<<<<
 *                     (
 *                         self.graph.hidden_activity_arr.shape[0],
 */
      __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1107, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_10 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_zeros); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 1107, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_10);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1109
 *                 pred_arr = np.zeros(
 *                     (
 *                         self.graph.hidden_activity_arr.shape[0],             # <<<<<<<<<<<<<<
 *                         cycle_len,
 *                         self.graph.hidden_activity_arr.shape[1],
 */
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1109, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_hidden_activity_arr); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 1109, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_14);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_shape); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1109, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
      __pyx_t_14 = __Pyx_GetItemInt(__pyx_t_1, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 1109, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_14);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1110
 *                     (
 *                         self.graph.hidden_activity_arr.shape[0],
 *                         cycle_len,             # <<<<<<<<<<<<<<
 *                         self.graph.hidden_activity_arr.shape[1],
 *                         self.graph.hidden_activity_arr.shape[2],
 */
      __pyx_t_1 = __Pyx_PyInt_From_int(__pyx_v_cycle_len); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1110, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1111
 *                         self.graph.hidden_activity_arr.shape[0],
 *                         cycle_len,
 *                         self.graph.hidden_activity_arr.shape[1],             # <<<<<<<<<<<<<<
 *                         self.graph.hidden_activity_arr.shape[2],
 *                         self.graph.hidden_activity_arr.shape[3]
 */
      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1111, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_hidden_activity_arr); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1111, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_shape); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1111, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
      __pyx_t_11 = __Pyx_GetItemInt(__pyx_t_9, 1, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1111, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1112
 *                         cycle_len,
 *                         self.graph.hidden_activity_arr.shape[1],
 *                         self.graph.hidden_activity_arr.shape[2],             # <<<<<<<<<<<<<<
 *                         self.graph.hidden_activity_arr.shape[3]
 *                     ),
 */
      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1112, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_hidden_activity_arr); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1112, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_shape); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1112, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      __pyx_t_2 = __Pyx_GetItemInt(__pyx_t_9, 2, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1112, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1113
 *                         self.graph.hidden_activity_arr.shape[1],
 *                         self.graph.hidden_activity_arr.shape[2],
 *                         self.graph.hidden_activity_arr.shape[3]             # <<<<<<<<<<<<<<
 *                     ),
 *                     dtype=np.float64
 */
      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1113, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_9, __pyx_n_s_hidden_activity_arr); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1113, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_shape); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1113, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
      __pyx_t_12 = __Pyx_GetItemInt(__pyx_t_9, 3, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1113, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1109
 *                 pred_arr = np.zeros(
 *                     (
 *                         self.graph.hidden_activity_arr.shape[0],             # <<<<<<<<<<<<<<
 *                         cycle_len,
 *                         self.graph.hidden_activity_arr.shape[1],
 */
      __pyx_t_9 = PyTuple_New(5); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1109, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __Pyx_GIVEREF(__pyx_t_14);
      PyTuple_SET_ITEM(__pyx_t_9, 0, __pyx_t_14);
      __Pyx_GIVEREF(__pyx_t_1);
      PyTuple_SET_ITEM(__pyx_t_9, 1, __pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_11);
      PyTuple_SET_ITEM(__pyx_t_9, 2, __pyx_t_11);
      __Pyx_GIVEREF(__pyx_t_2);
      PyTuple_SET_ITEM(__pyx_t_9, 3, __pyx_t_2);
      __Pyx_GIVEREF(__pyx_t_12);
      PyTuple_SET_ITEM(__pyx_t_9, 4, __pyx_t_12);
      __pyx_t_14 = 0;
      __pyx_t_1 = 0;
      __pyx_t_11 = 0;
      __pyx_t_2 = 0;
      __pyx_t_12 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1107
 * 
 *             if pred_arr is None:
 *                 pred_arr = np.zeros(             # <<<<<<<<<<<<<<
 *                     (
 *                         self.graph.hidden_activity_arr.shape[0],
 */
      __pyx_t_12 = PyTuple_New(1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1107, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      __Pyx_GIVEREF(__pyx_t_9);
      PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_9);
      __pyx_t_9 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1115
 *                         self.graph.hidden_activity_arr.shape[3]
 *                     ),
 *                     dtype=np.float64             # <<<<<<<<<<<<<<
 *                 )
 * 
 */
      __pyx_t_9 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1115, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_9);
      __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1115, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_float64); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1115, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      if (PyDict_SetItem(__pyx_t_9, __pyx_n_s_dtype, __pyx_t_11) < 0) __PYX_ERR(0, 1115, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1107
 * 
 *             if pred_arr is None:
 *                 pred_arr = np.zeros(             # <<<<<<<<<<<<<<
 *                     (
 *                         self.graph.hidden_activity_arr.shape[0],
 */
      __pyx_t_11 = __Pyx_PyObject_Call(__pyx_t_10, __pyx_t_12, __pyx_t_9); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1107, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __Pyx_DECREF(__pyx_t_10); __pyx_t_10 = 0;
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
      __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
      if (!(likely(((__pyx_t_11) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_11, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1107, __pyx_L1_error)
      __pyx_t_5 = ((PyArrayObject *)__pyx_t_11);
      {
        __Pyx_BufFmt_StackElem __pyx_stack[1];
        __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer);
        __pyx_t_13 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_5, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack);
        if (unlikely(__pyx_t_13 < 0)) {
          PyErr_Fetch(&__pyx_t_16, &__pyx_t_17, &__pyx_t_18);
          if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_pred_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) {
            Py_XDECREF(__pyx_t_16); Py_XDECREF(__pyx_t_17); Py_XDECREF(__pyx_t_18);
            __Pyx_RaiseBufferFallbackError();
          } else {
            PyErr_Restore(__pyx_t_16, __pyx_t_17, __pyx_t_18);
          }
          __pyx_t_16 = __pyx_t_17 = __pyx_t_18 = 0;
        }
        __pyx_pybuffernd_pred_arr.diminfo[0].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_pred_arr.diminfo[0].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_pred_arr.diminfo[1].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_pred_arr.diminfo[1].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_pred_arr.diminfo[2].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_pred_arr.diminfo[2].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_pred_arr.diminfo[3].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_pred_arr.diminfo[3].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_pred_arr.diminfo[4].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_pred_arr.diminfo[4].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[4];
        if (unlikely(__pyx_t_13 < 0)) __PYX_ERR(0, 1107, __pyx_L1_error)
      }
      __pyx_t_5 = 0;
      __Pyx_DECREF_SET(__pyx_v_pred_arr, ((PyArrayObject *)__pyx_t_11));
      __pyx_t_11 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1106
 *                 )
 * 
 *             if pred_arr is None:             # <<<<<<<<<<<<<<
 *                 pred_arr = np.zeros(
 *                     (
 */
    }

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1118
 *                 )
 * 
 *             pred_arr[:, cycle] = self.graph.hidden_activity_arr             # <<<<<<<<<<<<<<
 * 
 *         return pred_arr
 */
    __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1118, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_11);
    __pyx_t_9 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_hidden_activity_arr); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 1118, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_9);
    __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
    __pyx_t_11 = __Pyx_PyInt_From_int(__pyx_v_cycle); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1118, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_11);
    __pyx_t_12 = PyTuple_New(2); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1118, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_12);
    __Pyx_INCREF(__pyx_slice__123);
    __Pyx_GIVEREF(__pyx_slice__123);
    PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_slice__123);
    __Pyx_GIVEREF(__pyx_t_11);
    PyTuple_SET_ITEM(__pyx_t_12, 1, __pyx_t_11);
    __pyx_t_11 = 0;
    if (unlikely(PyObject_SetItem(((PyObject *)__pyx_v_pred_arr), __pyx_t_12, __pyx_t_9) < 0)) __PYX_ERR(0, 1118, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
    __Pyx_DECREF(__pyx_t_9); __pyx_t_9 = 0;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1120
 *             pred_arr[:, cycle] = self.graph.hidden_activity_arr
 * 
 *         return pred_arr             # <<<<<<<<<<<<<<
 * 
 *     def output_forward_propagate(self, np.ndarray[DOUBLE_t, ndim=5] pred_arr):
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
  __pyx_r = ((PyObject *)__pyx_v_pred_arr);
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1067
 *         return self.graph.hidden_activity_arr
 * 
 *     def hidden_forward_propagate(self, np.ndarray[DOUBLE_t, ndim=5] observed_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Forward propagation in LSTM gate.
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_9);
  __Pyx_XDECREF(__pyx_t_10);
  __Pyx_XDECREF(__pyx_t_11);
  __Pyx_XDECREF(__pyx_t_12);
  __Pyx_XDECREF(__pyx_t_14);
  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_observed_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer);
  __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.hidden_forward_propagate", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  goto __pyx_L2;
  __pyx_L0:;
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_observed_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer);
  __pyx_L2:;
  __Pyx_XDECREF((PyObject *)__pyx_v_pred_arr);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1122
 *         return pred_arr
 * 
 *     def output_forward_propagate(self, np.ndarray[DOUBLE_t, ndim=5] pred_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Forward propagation in output layer.
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_25output_forward_propagate(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_24output_forward_propagate[] = "\n        Forward propagation in output layer.\n        \n        Args:\n            pred_arr:            `np.ndarray` of predicted data points.\n\n        Returns:\n            `np.ndarray` of propagated data points.\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_25output_forward_propagate = {"output_forward_propagate", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_25output_forward_propagate, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_24output_forward_propagate};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_25output_forward_propagate(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  CYTHON_UNUSED PyObject *__pyx_v_self = 0;
  PyArrayObject *__pyx_v_pred_arr = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("output_forward_propagate (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_pred_arr,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pred_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("output_forward_propagate", 1, 2, 2, 1); __PYX_ERR(0, 1122, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "output_forward_propagate") < 0)) __PYX_ERR(0, 1122, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_pred_arr = ((PyArrayObject *)values[1]);
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("output_forward_propagate", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1122, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.output_forward_propagate", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_pred_arr), __pyx_ptype_5numpy_ndarray, 1, "pred_arr", 0))) __PYX_ERR(0, 1122, __pyx_L1_error)
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_24output_forward_propagate(__pyx_self, __pyx_v_self, __pyx_v_pred_arr);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_24output_forward_propagate(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_self, PyArrayObject *__pyx_v_pred_arr) {
  __Pyx_LocalBuf_ND __pyx_pybuffernd_pred_arr;
  __Pyx_Buffer __pyx_pybuffer_pred_arr;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("output_forward_propagate", 0);
  __pyx_pybuffer_pred_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_pred_arr.refcount = 0;
  __pyx_pybuffernd_pred_arr.data = NULL;
  __pyx_pybuffernd_pred_arr.rcbuffer = &__pyx_pybuffer_pred_arr;
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_pred_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) __PYX_ERR(0, 1122, __pyx_L1_error)
  }
  __pyx_pybuffernd_pred_arr.diminfo[0].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_pred_arr.diminfo[0].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_pred_arr.diminfo[1].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_pred_arr.diminfo[1].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_pred_arr.diminfo[2].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_pred_arr.diminfo[2].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_pred_arr.diminfo[3].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_pred_arr.diminfo[3].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_pred_arr.diminfo[4].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_pred_arr.diminfo[4].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[4];

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1132
 *             `np.ndarray` of propagated data points.
 *         '''
 *         return pred_arr             # <<<<<<<<<<<<<<
 * 
 *     def output_back_propagate(
 */
  __Pyx_XDECREF(__pyx_r);
  __Pyx_INCREF(((PyObject *)__pyx_v_pred_arr));
  __pyx_r = ((PyObject *)__pyx_v_pred_arr);
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1122
 *         return pred_arr
 * 
 *     def output_forward_propagate(self, np.ndarray[DOUBLE_t, ndim=5] pred_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Forward propagation in output layer.
 */

  /* function exit code */
  __pyx_L1_error:;
  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer);
  __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.output_forward_propagate", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  goto __pyx_L2;
  __pyx_L0:;
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer);
  __pyx_L2:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1134
 *         return pred_arr
 * 
 *     def output_back_propagate(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray[DOUBLE_t, ndim=5] pred_arr,
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_27output_back_propagate(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_26output_back_propagate[] = "\n        Back propagation in output layer.\n\n        Args:\n            pred_arr:            `np.ndarray` of predicted data points.\n            delta_output_arr:    Delta.\n        \n        Returns:\n            Tuple data.\n            - `np.ndarray` of Delta, \n            - `list` of gradations.\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_27output_back_propagate = {"output_back_propagate", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_27output_back_propagate, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_26output_back_propagate};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_27output_back_propagate(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  CYTHON_UNUSED PyObject *__pyx_v_self = 0;
  CYTHON_UNUSED PyArrayObject *__pyx_v_pred_arr = 0;
  PyArrayObject *__pyx_v_delta_arr = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("output_back_propagate (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_pred_arr,&__pyx_n_s_delta_arr,0};
    PyObject* values[3] = {0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_pred_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("output_back_propagate", 1, 3, 3, 1); __PYX_ERR(0, 1134, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_delta_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("output_back_propagate", 1, 3, 3, 2); __PYX_ERR(0, 1134, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "output_back_propagate") < 0)) __PYX_ERR(0, 1134, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 3) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
    }
    __pyx_v_self = values[0];
    __pyx_v_pred_arr = ((PyArrayObject *)values[1]);
    __pyx_v_delta_arr = ((PyArrayObject *)values[2]);
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("output_back_propagate", 1, 3, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1134, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.output_back_propagate", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_pred_arr), __pyx_ptype_5numpy_ndarray, 1, "pred_arr", 0))) __PYX_ERR(0, 1136, __pyx_L1_error)
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_delta_arr), __pyx_ptype_5numpy_ndarray, 1, "delta_arr", 0))) __PYX_ERR(0, 1137, __pyx_L1_error)
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_26output_back_propagate(__pyx_self, __pyx_v_self, __pyx_v_pred_arr, __pyx_v_delta_arr);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_26output_back_propagate(CYTHON_UNUSED PyObject *__pyx_self, CYTHON_UNUSED PyObject *__pyx_v_self, CYTHON_UNUSED PyArrayObject *__pyx_v_pred_arr, PyArrayObject *__pyx_v_delta_arr) {
  __Pyx_LocalBuf_ND __pyx_pybuffernd_delta_arr;
  __Pyx_Buffer __pyx_pybuffer_delta_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_pred_arr;
  __Pyx_Buffer __pyx_pybuffer_pred_arr;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  __Pyx_RefNannySetupContext("output_back_propagate", 0);
  __pyx_pybuffer_pred_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_pred_arr.refcount = 0;
  __pyx_pybuffernd_pred_arr.data = NULL;
  __pyx_pybuffernd_pred_arr.rcbuffer = &__pyx_pybuffer_pred_arr;
  __pyx_pybuffer_delta_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_delta_arr.refcount = 0;
  __pyx_pybuffernd_delta_arr.data = NULL;
  __pyx_pybuffernd_delta_arr.rcbuffer = &__pyx_pybuffer_delta_arr;
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_pred_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) __PYX_ERR(0, 1134, __pyx_L1_error)
  }
  __pyx_pybuffernd_pred_arr.diminfo[0].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_pred_arr.diminfo[0].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_pred_arr.diminfo[1].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_pred_arr.diminfo[1].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_pred_arr.diminfo[2].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_pred_arr.diminfo[2].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_pred_arr.diminfo[3].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_pred_arr.diminfo[3].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_pred_arr.diminfo[4].strides = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_pred_arr.diminfo[4].shape = __pyx_pybuffernd_pred_arr.rcbuffer->pybuffer.shape[4];
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_delta_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) __PYX_ERR(0, 1134, __pyx_L1_error)
  }
  __pyx_pybuffernd_delta_arr.diminfo[0].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_arr.diminfo[0].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_arr.diminfo[1].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_arr.diminfo[1].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_arr.diminfo[2].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_arr.diminfo[2].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_arr.diminfo[3].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_arr.diminfo[3].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_delta_arr.diminfo[4].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_delta_arr.diminfo[4].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[4];

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1151
 *             - `list` of gradations.
 *         '''
 *         return (delta_arr, [])             # <<<<<<<<<<<<<<
 * 
 *     def hidden_back_propagate(self, np.ndarray[DOUBLE_t, ndim=4] delta_output_arr):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1151, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyTuple_New(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1151, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_arr));
  PyTuple_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_delta_arr));
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_1);
  __pyx_t_1 = 0;
  __pyx_r = __pyx_t_2;
  __pyx_t_2 = 0;
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1134
 *         return pred_arr
 * 
 *     def output_back_propagate(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray[DOUBLE_t, ndim=5] pred_arr,
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer);
  __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.output_back_propagate", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  goto __pyx_L2;
  __pyx_L0:;
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pred_arr.rcbuffer->pybuffer);
  __pyx_L2:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1153
 *         return (delta_arr, [])
 * 
 *     def hidden_back_propagate(self, np.ndarray[DOUBLE_t, ndim=4] delta_output_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Back propagation in hidden layer.
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_29hidden_back_propagate(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_28hidden_back_propagate[] = "\n        Back propagation in hidden layer.\n        \n        Args:\n            delta_output_arr:    Delta.\n        \n        Returns:\n            Tuple data.\n            - `np.ndarray` of Delta in observed data points, \n            - `np.ndarray` of Delta in hidden units, \n            - `list` of gradations\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_29hidden_back_propagate = {"hidden_back_propagate", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_29hidden_back_propagate, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_28hidden_back_propagate};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_29hidden_back_propagate(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyArrayObject *__pyx_v_delta_output_arr = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("hidden_back_propagate (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_delta_output_arr,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_delta_output_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("hidden_back_propagate", 1, 2, 2, 1); __PYX_ERR(0, 1153, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "hidden_back_propagate") < 0)) __PYX_ERR(0, 1153, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_delta_output_arr = ((PyArrayObject *)values[1]);
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("hidden_back_propagate", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1153, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.hidden_back_propagate", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_delta_output_arr), __pyx_ptype_5numpy_ndarray, 1, "delta_output_arr", 0))) __PYX_ERR(0, 1153, __pyx_L1_error)
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_28hidden_back_propagate(__pyx_self, __pyx_v_self, __pyx_v_delta_output_arr);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_28hidden_back_propagate(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_delta_output_arr) {
  int __pyx_v_cycle_len;
  PyArrayObject *__pyx_v_delta_arr = 0;
  PyArrayObject *__pyx_v_delta_hidden_arr = 0;
  PyArrayObject *__pyx_v_delta_cec_arr = 0;
  int __pyx_v_bp_count;
  int __pyx_v_cycle;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_delta_arr;
  __Pyx_Buffer __pyx_pybuffer_delta_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_delta_hidden_arr;
  __Pyx_Buffer __pyx_pybuffer_delta_hidden_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_delta_output_arr;
  __Pyx_Buffer __pyx_pybuffer_delta_output_arr;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  int __pyx_t_3;
  int __pyx_t_4;
  PyArrayObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  int __pyx_t_9;
  PyObject *(*__pyx_t_10)(PyObject *);
  PyArrayObject *__pyx_t_11 = NULL;
  PyObject *__pyx_t_12 = NULL;
  PyObject *__pyx_t_13 = NULL;
  PyObject *__pyx_t_14 = NULL;
  int __pyx_t_15;
  PyObject *__pyx_t_16 = NULL;
  PyObject *__pyx_t_17 = NULL;
  __Pyx_RefNannySetupContext("hidden_back_propagate", 0);
  __pyx_pybuffer_delta_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_delta_arr.refcount = 0;
  __pyx_pybuffernd_delta_arr.data = NULL;
  __pyx_pybuffernd_delta_arr.rcbuffer = &__pyx_pybuffer_delta_arr;
  __pyx_pybuffer_delta_hidden_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_delta_hidden_arr.refcount = 0;
  __pyx_pybuffernd_delta_hidden_arr.data = NULL;
  __pyx_pybuffernd_delta_hidden_arr.rcbuffer = &__pyx_pybuffer_delta_hidden_arr;
  __pyx_pybuffer_delta_output_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_delta_output_arr.refcount = 0;
  __pyx_pybuffernd_delta_output_arr.data = NULL;
  __pyx_pybuffernd_delta_output_arr.rcbuffer = &__pyx_pybuffer_delta_output_arr;
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_output_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_delta_output_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) __PYX_ERR(0, 1153, __pyx_L1_error)
  }
  __pyx_pybuffernd_delta_output_arr.diminfo[0].strides = __pyx_pybuffernd_delta_output_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_output_arr.diminfo[0].shape = __pyx_pybuffernd_delta_output_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_output_arr.diminfo[1].strides = __pyx_pybuffernd_delta_output_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_output_arr.diminfo[1].shape = __pyx_pybuffernd_delta_output_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_output_arr.diminfo[2].strides = __pyx_pybuffernd_delta_output_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_output_arr.diminfo[2].shape = __pyx_pybuffernd_delta_output_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_output_arr.diminfo[3].strides = __pyx_pybuffernd_delta_output_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_output_arr.diminfo[3].shape = __pyx_pybuffernd_delta_output_arr.rcbuffer->pybuffer.shape[3];

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1167
 *         '''
 *         cdef int cycle_len
 *         if self.__seq_len == 0:             # <<<<<<<<<<<<<<
 *             cycle_len = self.__cycle_len
 *         else:
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__seq_len); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1167, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_PyInt_EqObjC(__pyx_t_1, __pyx_int_0, 0, 0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1167, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_3 = __Pyx_PyObject_IsTrue(__pyx_t_2); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 1167, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (__pyx_t_3) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1168
 *         cdef int cycle_len
 *         if self.__seq_len == 0:
 *             cycle_len = self.__cycle_len             # <<<<<<<<<<<<<<
 *         else:
 *             cycle_len = self.__seq_len
 */
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__cycle_len); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1168, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_2); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 1168, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_v_cycle_len = __pyx_t_4;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1167
 *         '''
 *         cdef int cycle_len
 *         if self.__seq_len == 0:             # <<<<<<<<<<<<<<
 *             cycle_len = self.__cycle_len
 *         else:
 */
    goto __pyx_L3;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1170
 *             cycle_len = self.__cycle_len
 *         else:
 *             cycle_len = self.__seq_len             # <<<<<<<<<<<<<<
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=5] delta_arr = None
 */
  /*else*/ {
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__seq_len); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1170, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_4 = __Pyx_PyInt_As_int(__pyx_t_2); if (unlikely((__pyx_t_4 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 1170, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_v_cycle_len = __pyx_t_4;
  }
  __pyx_L3:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1172
 *             cycle_len = self.__seq_len
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=5] delta_arr = None             # <<<<<<<<<<<<<<
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_hidden_arr
 *         cdef np.ndarray delta_cec_arr = np.array([])
 */
  __pyx_t_5 = ((PyArrayObject *)Py_None);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_5, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) {
      __pyx_v_delta_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1172, __pyx_L1_error)
    } else {__pyx_pybuffernd_delta_arr.diminfo[0].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_arr.diminfo[0].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_arr.diminfo[1].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_arr.diminfo[1].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_arr.diminfo[2].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_arr.diminfo[2].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_arr.diminfo[3].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_arr.diminfo[3].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_delta_arr.diminfo[4].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_delta_arr.diminfo[4].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[4];
    }
  }
  __pyx_t_5 = 0;
  __Pyx_INCREF(Py_None);
  __pyx_v_delta_arr = ((PyArrayObject *)Py_None);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1174
 *         cdef np.ndarray[DOUBLE_t, ndim=5] delta_arr = None
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_hidden_arr
 *         cdef np.ndarray delta_cec_arr = np.array([])             # <<<<<<<<<<<<<<
 * 
 *         cdef int bp_count = 0
 */
  __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1174, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_array); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1174, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = PyList_New(0); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1174, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_7 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_6))) {
    __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_6);
    if (likely(__pyx_t_7)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);
      __Pyx_INCREF(__pyx_t_7);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_6, function);
    }
  }
  if (!__pyx_t_7) {
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_6, __pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1174, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_GOTREF(__pyx_t_2);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_6)) {
      PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_1};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1174, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) {
      PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_1};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1174, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    {
      __pyx_t_8 = PyTuple_New(1+1); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 1174, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_8, 0, __pyx_t_7); __pyx_t_7 = NULL;
      __Pyx_GIVEREF(__pyx_t_1);
      PyTuple_SET_ITEM(__pyx_t_8, 0+1, __pyx_t_1);
      __pyx_t_1 = 0;
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_8, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1174, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1174, __pyx_L1_error)
  __pyx_v_delta_cec_arr = ((PyArrayObject *)__pyx_t_2);
  __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1176
 *         cdef np.ndarray delta_cec_arr = np.array([])
 * 
 *         cdef int bp_count = 0             # <<<<<<<<<<<<<<
 *         cdef int cycle
 * 
 */
  __pyx_v_bp_count = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1179
 *         cdef int cycle
 * 
 *         for cycle in reversed(range(cycle_len)):             # <<<<<<<<<<<<<<
 *             delta_hidden_arr, delta_cec_arr = self.lstm_backward(
 *                 delta_output_arr,
 */
  for (__pyx_t_4 = __pyx_v_cycle_len-1; __pyx_t_4 >= 0; __pyx_t_4-=1) {
    __pyx_v_cycle = __pyx_t_4;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1180
 * 
 *         for cycle in reversed(range(cycle_len)):
 *             delta_hidden_arr, delta_cec_arr = self.lstm_backward(             # <<<<<<<<<<<<<<
 *                 delta_output_arr,
 *                 delta_cec_arr,
 */
    __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_lstm_backward); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1180, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_6);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1183
 *                 delta_output_arr,
 *                 delta_cec_arr,
 *                 cycle             # <<<<<<<<<<<<<<
 *             )
 *             if delta_arr is None:
 */
    __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_cycle); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 1183, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_1 = NULL;
    __pyx_t_9 = 0;
    if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_6))) {
      __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_6);
      if (likely(__pyx_t_1)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);
        __Pyx_INCREF(__pyx_t_1);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_6, function);
        __pyx_t_9 = 1;
      }
    }
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_6)) {
      PyObject *__pyx_temp[4] = {__pyx_t_1, ((PyObject *)__pyx_v_delta_output_arr), ((PyObject *)__pyx_v_delta_cec_arr), __pyx_t_8};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_9, 3+__pyx_t_9); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1180, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_6)) {
      PyObject *__pyx_temp[4] = {__pyx_t_1, ((PyObject *)__pyx_v_delta_output_arr), ((PyObject *)__pyx_v_delta_cec_arr), __pyx_t_8};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_6, __pyx_temp+1-__pyx_t_9, 3+__pyx_t_9); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1180, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    } else
    #endif
    {
      __pyx_t_7 = PyTuple_New(3+__pyx_t_9); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1180, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      if (__pyx_t_1) {
        __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1); __pyx_t_1 = NULL;
      }
      __Pyx_INCREF(((PyObject *)__pyx_v_delta_output_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_output_arr));
      PyTuple_SET_ITEM(__pyx_t_7, 0+__pyx_t_9, ((PyObject *)__pyx_v_delta_output_arr));
      __Pyx_INCREF(((PyObject *)__pyx_v_delta_cec_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_cec_arr));
      PyTuple_SET_ITEM(__pyx_t_7, 1+__pyx_t_9, ((PyObject *)__pyx_v_delta_cec_arr));
      __Pyx_GIVEREF(__pyx_t_8);
      PyTuple_SET_ITEM(__pyx_t_7, 2+__pyx_t_9, __pyx_t_8);
      __pyx_t_8 = 0;
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_6, __pyx_t_7, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1180, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    }
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    if ((likely(PyTuple_CheckExact(__pyx_t_2))) || (PyList_CheckExact(__pyx_t_2))) {
      PyObject* sequence = __pyx_t_2;
      Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
      if (unlikely(size != 2)) {
        if (size > 2) __Pyx_RaiseTooManyValuesError(2);
        else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
        __PYX_ERR(0, 1180, __pyx_L1_error)
      }
      #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
      if (likely(PyTuple_CheckExact(sequence))) {
        __pyx_t_6 = PyTuple_GET_ITEM(sequence, 0); 
        __pyx_t_7 = PyTuple_GET_ITEM(sequence, 1); 
      } else {
        __pyx_t_6 = PyList_GET_ITEM(sequence, 0); 
        __pyx_t_7 = PyList_GET_ITEM(sequence, 1); 
      }
      __Pyx_INCREF(__pyx_t_6);
      __Pyx_INCREF(__pyx_t_7);
      #else
      __pyx_t_6 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1180, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      __pyx_t_7 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1180, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      #endif
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    } else {
      Py_ssize_t index = -1;
      __pyx_t_8 = PyObject_GetIter(__pyx_t_2); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 1180, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      __pyx_t_10 = Py_TYPE(__pyx_t_8)->tp_iternext;
      index = 0; __pyx_t_6 = __pyx_t_10(__pyx_t_8); if (unlikely(!__pyx_t_6)) goto __pyx_L6_unpacking_failed;
      __Pyx_GOTREF(__pyx_t_6);
      index = 1; __pyx_t_7 = __pyx_t_10(__pyx_t_8); if (unlikely(!__pyx_t_7)) goto __pyx_L6_unpacking_failed;
      __Pyx_GOTREF(__pyx_t_7);
      if (__Pyx_IternextUnpackEndCheck(__pyx_t_10(__pyx_t_8), 2) < 0) __PYX_ERR(0, 1180, __pyx_L1_error)
      __pyx_t_10 = NULL;
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      goto __pyx_L7_unpacking_done;
      __pyx_L6_unpacking_failed:;
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __pyx_t_10 = NULL;
      if (__Pyx_IterFinish() == 0) __Pyx_RaiseNeedMoreValuesError(index);
      __PYX_ERR(0, 1180, __pyx_L1_error)
      __pyx_L7_unpacking_done:;
    }

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1180
 * 
 *         for cycle in reversed(range(cycle_len)):
 *             delta_hidden_arr, delta_cec_arr = self.lstm_backward(             # <<<<<<<<<<<<<<
 *                 delta_output_arr,
 *                 delta_cec_arr,
 */
    if (!(likely(((__pyx_t_6) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_6, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1180, __pyx_L1_error)
    if (!(likely(((__pyx_t_7) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_7, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1180, __pyx_L1_error)
    __pyx_t_11 = ((PyArrayObject *)__pyx_t_6);
    {
      __Pyx_BufFmt_StackElem __pyx_stack[1];
      __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer);
      __pyx_t_9 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_11, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack);
      if (unlikely(__pyx_t_9 < 0)) {
        PyErr_Fetch(&__pyx_t_12, &__pyx_t_13, &__pyx_t_14);
        if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_delta_hidden_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
          Py_XDECREF(__pyx_t_12); Py_XDECREF(__pyx_t_13); Py_XDECREF(__pyx_t_14);
          __Pyx_RaiseBufferFallbackError();
        } else {
          PyErr_Restore(__pyx_t_12, __pyx_t_13, __pyx_t_14);
        }
        __pyx_t_12 = __pyx_t_13 = __pyx_t_14 = 0;
      }
      __pyx_pybuffernd_delta_hidden_arr.diminfo[0].strides = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_hidden_arr.diminfo[0].shape = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_hidden_arr.diminfo[1].strides = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_hidden_arr.diminfo[1].shape = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_hidden_arr.diminfo[2].strides = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_hidden_arr.diminfo[2].shape = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_hidden_arr.diminfo[3].strides = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_hidden_arr.diminfo[3].shape = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.shape[3];
      if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 1180, __pyx_L1_error)
    }
    __pyx_t_11 = 0;
    __Pyx_XDECREF_SET(__pyx_v_delta_hidden_arr, ((PyArrayObject *)__pyx_t_6));
    __pyx_t_6 = 0;
    __Pyx_DECREF_SET(__pyx_v_delta_cec_arr, ((PyArrayObject *)__pyx_t_7));
    __pyx_t_7 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1185
 *                 cycle
 *             )
 *             if delta_arr is None:             # <<<<<<<<<<<<<<
 *                 delta_arr = np.empty(
 *                     (
 */
    __pyx_t_3 = (((PyObject *)__pyx_v_delta_arr) == Py_None);
    __pyx_t_15 = (__pyx_t_3 != 0);
    if (__pyx_t_15) {

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1186
 *             )
 *             if delta_arr is None:
 *                 delta_arr = np.empty(             # <<<<<<<<<<<<<<
 *                     (
 *                         delta_hidden_arr.shape[0],
 */
      __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1186, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_empty); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1186, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1188
 *                 delta_arr = np.empty(
 *                     (
 *                         delta_hidden_arr.shape[0],             # <<<<<<<<<<<<<<
 *                         cycle_len,
 *                         delta_hidden_arr.shape[1],
 */
      __pyx_t_2 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_delta_hidden_arr->dimensions[0])); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1188, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1189
 *                     (
 *                         delta_hidden_arr.shape[0],
 *                         cycle_len,             # <<<<<<<<<<<<<<
 *                         delta_hidden_arr.shape[1],
 *                         delta_hidden_arr.shape[2],
 */
      __pyx_t_6 = __Pyx_PyInt_From_int(__pyx_v_cycle_len); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1189, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1190
 *                         delta_hidden_arr.shape[0],
 *                         cycle_len,
 *                         delta_hidden_arr.shape[1],             # <<<<<<<<<<<<<<
 *                         delta_hidden_arr.shape[2],
 *                         delta_hidden_arr.shape[3]
 */
      __pyx_t_8 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_delta_hidden_arr->dimensions[1])); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 1190, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1191
 *                         cycle_len,
 *                         delta_hidden_arr.shape[1],
 *                         delta_hidden_arr.shape[2],             # <<<<<<<<<<<<<<
 *                         delta_hidden_arr.shape[3]
 *                     ),
 */
      __pyx_t_1 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_delta_hidden_arr->dimensions[2])); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1191, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1192
 *                         delta_hidden_arr.shape[1],
 *                         delta_hidden_arr.shape[2],
 *                         delta_hidden_arr.shape[3]             # <<<<<<<<<<<<<<
 *                     ),
 *                     dtype=np.float64
 */
      __pyx_t_16 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_delta_hidden_arr->dimensions[3])); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 1192, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_16);

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1188
 *                 delta_arr = np.empty(
 *                     (
 *                         delta_hidden_arr.shape[0],             # <<<<<<<<<<<<<<
 *                         cycle_len,
 *                         delta_hidden_arr.shape[1],
 */
      __pyx_t_17 = PyTuple_New(5); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1188, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_17);
      __Pyx_GIVEREF(__pyx_t_2);
      PyTuple_SET_ITEM(__pyx_t_17, 0, __pyx_t_2);
      __Pyx_GIVEREF(__pyx_t_6);
      PyTuple_SET_ITEM(__pyx_t_17, 1, __pyx_t_6);
      __Pyx_GIVEREF(__pyx_t_8);
      PyTuple_SET_ITEM(__pyx_t_17, 2, __pyx_t_8);
      __Pyx_GIVEREF(__pyx_t_1);
      PyTuple_SET_ITEM(__pyx_t_17, 3, __pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_16);
      PyTuple_SET_ITEM(__pyx_t_17, 4, __pyx_t_16);
      __pyx_t_2 = 0;
      __pyx_t_6 = 0;
      __pyx_t_8 = 0;
      __pyx_t_1 = 0;
      __pyx_t_16 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1186
 *             )
 *             if delta_arr is None:
 *                 delta_arr = np.empty(             # <<<<<<<<<<<<<<
 *                     (
 *                         delta_hidden_arr.shape[0],
 */
      __pyx_t_16 = PyTuple_New(1); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 1186, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_16);
      __Pyx_GIVEREF(__pyx_t_17);
      PyTuple_SET_ITEM(__pyx_t_16, 0, __pyx_t_17);
      __pyx_t_17 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1194
 *                         delta_hidden_arr.shape[3]
 *                     ),
 *                     dtype=np.float64             # <<<<<<<<<<<<<<
 *                 )
 *             delta_arr[:, cycle] = delta_hidden_arr
 */
      __pyx_t_17 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1194, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_17);
      __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1194, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_float64); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 1194, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
      if (PyDict_SetItem(__pyx_t_17, __pyx_n_s_dtype, __pyx_t_8) < 0) __PYX_ERR(0, 1194, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1186
 *             )
 *             if delta_arr is None:
 *                 delta_arr = np.empty(             # <<<<<<<<<<<<<<
 *                     (
 *                         delta_hidden_arr.shape[0],
 */
      __pyx_t_8 = __Pyx_PyObject_Call(__pyx_t_7, __pyx_t_16, __pyx_t_17); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 1186, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;
      __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;
      if (!(likely(((__pyx_t_8) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_8, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1186, __pyx_L1_error)
      __pyx_t_5 = ((PyArrayObject *)__pyx_t_8);
      {
        __Pyx_BufFmt_StackElem __pyx_stack[1];
        __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer);
        __pyx_t_9 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_5, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack);
        if (unlikely(__pyx_t_9 < 0)) {
          PyErr_Fetch(&__pyx_t_14, &__pyx_t_13, &__pyx_t_12);
          if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_delta_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 5, 0, __pyx_stack) == -1)) {
            Py_XDECREF(__pyx_t_14); Py_XDECREF(__pyx_t_13); Py_XDECREF(__pyx_t_12);
            __Pyx_RaiseBufferFallbackError();
          } else {
            PyErr_Restore(__pyx_t_14, __pyx_t_13, __pyx_t_12);
          }
          __pyx_t_14 = __pyx_t_13 = __pyx_t_12 = 0;
        }
        __pyx_pybuffernd_delta_arr.diminfo[0].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_arr.diminfo[0].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_arr.diminfo[1].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_arr.diminfo[1].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_arr.diminfo[2].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_arr.diminfo[2].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_arr.diminfo[3].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_arr.diminfo[3].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[3]; __pyx_pybuffernd_delta_arr.diminfo[4].strides = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.strides[4]; __pyx_pybuffernd_delta_arr.diminfo[4].shape = __pyx_pybuffernd_delta_arr.rcbuffer->pybuffer.shape[4];
        if (unlikely(__pyx_t_9 < 0)) __PYX_ERR(0, 1186, __pyx_L1_error)
      }
      __pyx_t_5 = 0;
      __Pyx_DECREF_SET(__pyx_v_delta_arr, ((PyArrayObject *)__pyx_t_8));
      __pyx_t_8 = 0;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1185
 *                 cycle
 *             )
 *             if delta_arr is None:             # <<<<<<<<<<<<<<
 *                 delta_arr = np.empty(
 *                     (
 */
    }

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1196
 *                     dtype=np.float64
 *                 )
 *             delta_arr[:, cycle] = delta_hidden_arr             # <<<<<<<<<<<<<<
 * 
 *             if bp_count >= self.__bptt_tau:
 */
    __pyx_t_8 = __Pyx_PyInt_From_int(__pyx_v_cycle); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 1196, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_17 = PyTuple_New(2); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1196, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_17);
    __Pyx_INCREF(__pyx_slice__124);
    __Pyx_GIVEREF(__pyx_slice__124);
    PyTuple_SET_ITEM(__pyx_t_17, 0, __pyx_slice__124);
    __Pyx_GIVEREF(__pyx_t_8);
    PyTuple_SET_ITEM(__pyx_t_17, 1, __pyx_t_8);
    __pyx_t_8 = 0;
    if (unlikely(PyObject_SetItem(((PyObject *)__pyx_v_delta_arr), __pyx_t_17, ((PyObject *)__pyx_v_delta_hidden_arr)) < 0)) __PYX_ERR(0, 1196, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1198
 *             delta_arr[:, cycle] = delta_hidden_arr
 * 
 *             if bp_count >= self.__bptt_tau:             # <<<<<<<<<<<<<<
 *                 break
 *             bp_count += 1
 */
    __pyx_t_17 = __Pyx_PyInt_From_int(__pyx_v_bp_count); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1198, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_17);
    __pyx_t_8 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__bptt_tau); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 1198, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_8);
    __pyx_t_16 = PyObject_RichCompare(__pyx_t_17, __pyx_t_8, Py_GE); __Pyx_XGOTREF(__pyx_t_16); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 1198, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;
    __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
    __pyx_t_15 = __Pyx_PyObject_IsTrue(__pyx_t_16); if (unlikely(__pyx_t_15 < 0)) __PYX_ERR(0, 1198, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;
    if (__pyx_t_15) {

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1199
 * 
 *             if bp_count >= self.__bptt_tau:
 *                 break             # <<<<<<<<<<<<<<
 *             bp_count += 1
 * 
 */
      goto __pyx_L5_break;

      /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1198
 *             delta_arr[:, cycle] = delta_hidden_arr
 * 
 *             if bp_count >= self.__bptt_tau:             # <<<<<<<<<<<<<<
 *                 break
 *             bp_count += 1
 */
    }

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1200
 *             if bp_count >= self.__bptt_tau:
 *                 break
 *             bp_count += 1             # <<<<<<<<<<<<<<
 * 
 *         self.__memory_tuple_list = []
 */
    __pyx_v_bp_count = (__pyx_v_bp_count + 1);
  }
  __pyx_L5_break:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1202
 *             bp_count += 1
 * 
 *         self.__memory_tuple_list = []             # <<<<<<<<<<<<<<
 *         return delta_arr, delta_hidden_arr, []
 * 
 */
  __pyx_t_16 = PyList_New(0); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 1202, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_16);
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__memory_tuple_lis, __pyx_t_16) < 0) __PYX_ERR(0, 1202, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1203
 * 
 *         self.__memory_tuple_list = []
 *         return delta_arr, delta_hidden_arr, []             # <<<<<<<<<<<<<<
 * 
 *     def __lstm_forward(
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_16 = PyList_New(0); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 1203, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_16);
  __pyx_t_8 = PyTuple_New(3); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 1203, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_8);
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_arr));
  PyTuple_SET_ITEM(__pyx_t_8, 0, ((PyObject *)__pyx_v_delta_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_hidden_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_hidden_arr));
  PyTuple_SET_ITEM(__pyx_t_8, 1, ((PyObject *)__pyx_v_delta_hidden_arr));
  __Pyx_GIVEREF(__pyx_t_16);
  PyTuple_SET_ITEM(__pyx_t_8, 2, __pyx_t_16);
  __pyx_t_16 = 0;
  __pyx_r = __pyx_t_8;
  __pyx_t_8 = 0;
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1153
 *         return (delta_arr, [])
 * 
 *     def hidden_back_propagate(self, np.ndarray[DOUBLE_t, ndim=4] delta_output_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Back propagation in hidden layer.
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_XDECREF(__pyx_t_16);
  __Pyx_XDECREF(__pyx_t_17);
  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_output_arr.rcbuffer->pybuffer);
  __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.hidden_back_propagate", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  goto __pyx_L2;
  __pyx_L0:;
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_output_arr.rcbuffer->pybuffer);
  __pyx_L2:;
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_hidden_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_cec_arr);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1205
 *         return delta_arr, delta_hidden_arr, []
 * 
 *     def __lstm_forward(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray[DOUBLE_t, ndim=4] observed_arr,
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_31__lstm_forward(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_30__lstm_forward[] = "\n        Forward propagate in LSTM gate.\n        \n        Args:\n            observed_arr:           `np.ndarray` of observed data points.\n            hidden_activity_arr:    `np.ndarray` of activities in hidden layer.\n            cec_activity_arr:       `np.ndarray` of activities in LSTM gate.\n        \n        Returns:\n            Tuple data.\n            - `np.ndarray` of activities in hidden layer,\n            - `np.ndarray` of activities in LSTM gate.\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_31__lstm_forward = {"__lstm_forward", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_31__lstm_forward, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_30__lstm_forward};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_31__lstm_forward(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyArrayObject *__pyx_v_observed_arr = 0;
  PyArrayObject *__pyx_v_hidden_activity_arr = 0;
  PyArrayObject *__pyx_v_cec_activity_arr = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__lstm_forward (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_observed_arr,&__pyx_n_s_hidden_activity_arr,&__pyx_n_s_cec_activity_arr,0};
    PyObject* values[4] = {0,0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_observed_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__lstm_forward", 1, 4, 4, 1); __PYX_ERR(0, 1205, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_hidden_activity_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__lstm_forward", 1, 4, 4, 2); __PYX_ERR(0, 1205, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_cec_activity_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("__lstm_forward", 1, 4, 4, 3); __PYX_ERR(0, 1205, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "__lstm_forward") < 0)) __PYX_ERR(0, 1205, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 4) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
      values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
    }
    __pyx_v_self = values[0];
    __pyx_v_observed_arr = ((PyArrayObject *)values[1]);
    __pyx_v_hidden_activity_arr = ((PyArrayObject *)values[2]);
    __pyx_v_cec_activity_arr = ((PyArrayObject *)values[3]);
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("__lstm_forward", 1, 4, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1205, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.__lstm_forward", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_observed_arr), __pyx_ptype_5numpy_ndarray, 1, "observed_arr", 0))) __PYX_ERR(0, 1207, __pyx_L1_error)
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_hidden_activity_arr), __pyx_ptype_5numpy_ndarray, 1, "hidden_activity_arr", 0))) __PYX_ERR(0, 1208, __pyx_L1_error)
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_cec_activity_arr), __pyx_ptype_5numpy_ndarray, 1, "cec_activity_arr", 0))) __PYX_ERR(0, 1209, __pyx_L1_error)
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_30__lstm_forward(__pyx_self, __pyx_v_self, __pyx_v_observed_arr, __pyx_v_hidden_activity_arr, __pyx_v_cec_activity_arr);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_30__lstm_forward(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_observed_arr, PyArrayObject *__pyx_v_hidden_activity_arr, PyArrayObject *__pyx_v_cec_activity_arr) {
  PyArrayObject *__pyx_v_given_activity_arr = 0;
  PyArrayObject *__pyx_v_input_gate_activity_arr = 0;
  PyArrayObject *__pyx_v_forget_gate_activity_arr = 0;
  PyArrayObject *__pyx_v_output_gate_activity_arr = 0;
  PyArrayObject *__pyx_v__cec_activity_arr = 0;
  PyArrayObject *__pyx_v__hidden_activity_arr = 0;
  __Pyx_LocalBuf_ND __pyx_pybuffernd__cec_activity_arr;
  __Pyx_Buffer __pyx_pybuffer__cec_activity_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd__hidden_activity_arr;
  __Pyx_Buffer __pyx_pybuffer__hidden_activity_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_forget_gate_activity_arr;
  __Pyx_Buffer __pyx_pybuffer_forget_gate_activity_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_given_activity_arr;
  __Pyx_Buffer __pyx_pybuffer_given_activity_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_input_gate_activity_arr;
  __Pyx_Buffer __pyx_pybuffer_input_gate_activity_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_observed_arr;
  __Pyx_Buffer __pyx_pybuffer_observed_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_output_gate_activity_arr;
  __Pyx_Buffer __pyx_pybuffer_output_gate_activity_arr;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyArrayObject *__pyx_t_5 = NULL;
  PyArrayObject *__pyx_t_6 = NULL;
  PyArrayObject *__pyx_t_7 = NULL;
  PyArrayObject *__pyx_t_8 = NULL;
  int __pyx_t_9;
  int __pyx_t_10;
  int __pyx_t_11;
  PyObject *__pyx_t_12 = NULL;
  PyObject *__pyx_t_13 = NULL;
  PyObject *__pyx_t_14 = NULL;
  PyObject *__pyx_t_15 = NULL;
  PyObject *__pyx_t_16 = NULL;
  PyObject *__pyx_t_17 = NULL;
  PyObject *__pyx_t_18 = NULL;
  PyObject *__pyx_t_19 = NULL;
  PyArrayObject *__pyx_t_20 = NULL;
  PyArrayObject *__pyx_t_21 = NULL;
  int __pyx_t_22;
  __Pyx_RefNannySetupContext("__lstm_forward", 0);
  __Pyx_INCREF((PyObject *)__pyx_v_cec_activity_arr);
  __pyx_pybuffer_given_activity_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_given_activity_arr.refcount = 0;
  __pyx_pybuffernd_given_activity_arr.data = NULL;
  __pyx_pybuffernd_given_activity_arr.rcbuffer = &__pyx_pybuffer_given_activity_arr;
  __pyx_pybuffer_input_gate_activity_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_input_gate_activity_arr.refcount = 0;
  __pyx_pybuffernd_input_gate_activity_arr.data = NULL;
  __pyx_pybuffernd_input_gate_activity_arr.rcbuffer = &__pyx_pybuffer_input_gate_activity_arr;
  __pyx_pybuffer_forget_gate_activity_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_forget_gate_activity_arr.refcount = 0;
  __pyx_pybuffernd_forget_gate_activity_arr.data = NULL;
  __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer = &__pyx_pybuffer_forget_gate_activity_arr;
  __pyx_pybuffer_output_gate_activity_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_output_gate_activity_arr.refcount = 0;
  __pyx_pybuffernd_output_gate_activity_arr.data = NULL;
  __pyx_pybuffernd_output_gate_activity_arr.rcbuffer = &__pyx_pybuffer_output_gate_activity_arr;
  __pyx_pybuffer__cec_activity_arr.pybuffer.buf = NULL;
  __pyx_pybuffer__cec_activity_arr.refcount = 0;
  __pyx_pybuffernd__cec_activity_arr.data = NULL;
  __pyx_pybuffernd__cec_activity_arr.rcbuffer = &__pyx_pybuffer__cec_activity_arr;
  __pyx_pybuffer__hidden_activity_arr.pybuffer.buf = NULL;
  __pyx_pybuffer__hidden_activity_arr.refcount = 0;
  __pyx_pybuffernd__hidden_activity_arr.data = NULL;
  __pyx_pybuffernd__hidden_activity_arr.rcbuffer = &__pyx_pybuffer__hidden_activity_arr;
  __pyx_pybuffer_observed_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_observed_arr.refcount = 0;
  __pyx_pybuffernd_observed_arr.data = NULL;
  __pyx_pybuffernd_observed_arr.rcbuffer = &__pyx_pybuffer_observed_arr;
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_observed_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_observed_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) __PYX_ERR(0, 1205, __pyx_L1_error)
  }
  __pyx_pybuffernd_observed_arr.diminfo[0].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_observed_arr.diminfo[0].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_observed_arr.diminfo[1].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_observed_arr.diminfo[1].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_observed_arr.diminfo[2].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_observed_arr.diminfo[2].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_observed_arr.diminfo[3].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_observed_arr.diminfo[3].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[3];

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1224
 *             - `np.ndarray` of activities in LSTM gate.
 *         '''
 *         cdef np.ndarray[DOUBLE_t, ndim=4] given_activity_arr = self.__given_conv.forward_propagate(             # <<<<<<<<<<<<<<
 *             observed_arr
 *         )
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1224, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_forward_propagate); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1224, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1225
 *         '''
 *         cdef np.ndarray[DOUBLE_t, ndim=4] given_activity_arr = self.__given_conv.forward_propagate(
 *             observed_arr             # <<<<<<<<<<<<<<
 *         )
 * 
 */
  __pyx_t_2 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
    __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_3);
    if (likely(__pyx_t_2)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
      __Pyx_INCREF(__pyx_t_2);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_3, function);
    }
  }
  if (!__pyx_t_2) {
    __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_3, ((PyObject *)__pyx_v_observed_arr)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1224, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_3)) {
      PyObject *__pyx_temp[2] = {__pyx_t_2, ((PyObject *)__pyx_v_observed_arr)};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1224, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) {
      PyObject *__pyx_temp[2] = {__pyx_t_2, ((PyObject *)__pyx_v_observed_arr)};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1224, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else
    #endif
    {
      __pyx_t_4 = PyTuple_New(1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1224, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_2); __pyx_t_2 = NULL;
      __Pyx_INCREF(((PyObject *)__pyx_v_observed_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_observed_arr));
      PyTuple_SET_ITEM(__pyx_t_4, 0+1, ((PyObject *)__pyx_v_observed_arr));
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_4, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1224, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1224
 *             - `np.ndarray` of activities in LSTM gate.
 *         '''
 *         cdef np.ndarray[DOUBLE_t, ndim=4] given_activity_arr = self.__given_conv.forward_propagate(             # <<<<<<<<<<<<<<
 *             observed_arr
 *         )
 */
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1224, __pyx_L1_error)
  __pyx_t_5 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_5, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_given_activity_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1224, __pyx_L1_error)
    } else {__pyx_pybuffernd_given_activity_arr.diminfo[0].strides = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_given_activity_arr.diminfo[0].shape = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_given_activity_arr.diminfo[1].strides = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_given_activity_arr.diminfo[1].shape = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_given_activity_arr.diminfo[2].strides = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_given_activity_arr.diminfo[2].shape = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_given_activity_arr.diminfo[3].strides = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_given_activity_arr.diminfo[3].shape = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_5 = 0;
  __pyx_v_given_activity_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1228
 *         )
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] input_gate_activity_arr = self.__input_conv.forward_propagate(             # <<<<<<<<<<<<<<
 *             observed_arr
 *         )
 */
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1228, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_forward_propagate); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1228, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1229
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] input_gate_activity_arr = self.__input_conv.forward_propagate(
 *             observed_arr             # <<<<<<<<<<<<<<
 *         )
 * 
 */
  __pyx_t_3 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_3)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_3);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
    }
  }
  if (!__pyx_t_3) {
    __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_4, ((PyObject *)__pyx_v_observed_arr)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1228, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_4)) {
      PyObject *__pyx_temp[2] = {__pyx_t_3, ((PyObject *)__pyx_v_observed_arr)};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1228, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
      PyObject *__pyx_temp[2] = {__pyx_t_3, ((PyObject *)__pyx_v_observed_arr)};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1228, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else
    #endif
    {
      __pyx_t_2 = PyTuple_New(1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1228, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_3); __pyx_t_3 = NULL;
      __Pyx_INCREF(((PyObject *)__pyx_v_observed_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_observed_arr));
      PyTuple_SET_ITEM(__pyx_t_2, 0+1, ((PyObject *)__pyx_v_observed_arr));
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_2, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1228, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1228
 *         )
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] input_gate_activity_arr = self.__input_conv.forward_propagate(             # <<<<<<<<<<<<<<
 *             observed_arr
 *         )
 */
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1228, __pyx_L1_error)
  __pyx_t_6 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_6, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_input_gate_activity_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1228, __pyx_L1_error)
    } else {__pyx_pybuffernd_input_gate_activity_arr.diminfo[0].strides = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[0].shape = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[1].strides = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[1].shape = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[2].strides = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[2].shape = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[3].strides = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[3].shape = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_6 = 0;
  __pyx_v_input_gate_activity_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1232
 *         )
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] forget_gate_activity_arr = self.__forgot_conv.forward_propagate(             # <<<<<<<<<<<<<<
 *             observed_arr
 *         )
 */
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1232, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_4, __pyx_n_s_forward_propagate); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1232, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1233
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] forget_gate_activity_arr = self.__forgot_conv.forward_propagate(
 *             observed_arr             # <<<<<<<<<<<<<<
 *         )
 * 
 */
  __pyx_t_4 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_4 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_4)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_4);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  if (!__pyx_t_4) {
    __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_2, ((PyObject *)__pyx_v_observed_arr)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1232, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[2] = {__pyx_t_4, ((PyObject *)__pyx_v_observed_arr)};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1232, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[2] = {__pyx_t_4, ((PyObject *)__pyx_v_observed_arr)};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1232, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_4); __pyx_t_4 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else
    #endif
    {
      __pyx_t_3 = PyTuple_New(1+1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1232, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_GIVEREF(__pyx_t_4); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_4); __pyx_t_4 = NULL;
      __Pyx_INCREF(((PyObject *)__pyx_v_observed_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_observed_arr));
      PyTuple_SET_ITEM(__pyx_t_3, 0+1, ((PyObject *)__pyx_v_observed_arr));
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_3, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1232, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1232
 *         )
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] forget_gate_activity_arr = self.__forgot_conv.forward_propagate(             # <<<<<<<<<<<<<<
 *             observed_arr
 *         )
 */
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1232, __pyx_L1_error)
  __pyx_t_7 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_7, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_forget_gate_activity_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1232, __pyx_L1_error)
    } else {__pyx_pybuffernd_forget_gate_activity_arr.diminfo[0].strides = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[0].shape = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[1].strides = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[1].shape = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[2].strides = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[2].shape = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[3].strides = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[3].shape = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_7 = 0;
  __pyx_v_forget_gate_activity_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1236
 *         )
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] output_gate_activity_arr = self.__output_conv.forward_propagate(observed_arr)             # <<<<<<<<<<<<<<
 * 
 *         if cec_activity_arr is None or cec_activity_arr.shape[0] == 0:
 */
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1236, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_forward_propagate); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1236, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_3))) {
    __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_3);
    if (likely(__pyx_t_2)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
      __Pyx_INCREF(__pyx_t_2);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_3, function);
    }
  }
  if (!__pyx_t_2) {
    __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_3, ((PyObject *)__pyx_v_observed_arr)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1236, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_3)) {
      PyObject *__pyx_temp[2] = {__pyx_t_2, ((PyObject *)__pyx_v_observed_arr)};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1236, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) {
      PyObject *__pyx_temp[2] = {__pyx_t_2, ((PyObject *)__pyx_v_observed_arr)};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1236, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_GOTREF(__pyx_t_1);
    } else
    #endif
    {
      __pyx_t_4 = PyTuple_New(1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1236, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_2); __pyx_t_2 = NULL;
      __Pyx_INCREF(((PyObject *)__pyx_v_observed_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_observed_arr));
      PyTuple_SET_ITEM(__pyx_t_4, 0+1, ((PyObject *)__pyx_v_observed_arr));
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_4, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1236, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1236, __pyx_L1_error)
  __pyx_t_8 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_8, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_output_gate_activity_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1236, __pyx_L1_error)
    } else {__pyx_pybuffernd_output_gate_activity_arr.diminfo[0].strides = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[0].shape = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[1].strides = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[1].shape = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[2].strides = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[2].shape = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[3].strides = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[3].shape = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_8 = 0;
  __pyx_v_output_gate_activity_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1238
 *         cdef np.ndarray[DOUBLE_t, ndim=4] output_gate_activity_arr = self.__output_conv.forward_propagate(observed_arr)
 * 
 *         if cec_activity_arr is None or cec_activity_arr.shape[0] == 0:             # <<<<<<<<<<<<<<
 *             cec_activity_arr = np.zeros_like(forget_gate_activity_arr)
 * 
 */
  __pyx_t_10 = (((PyObject *)__pyx_v_cec_activity_arr) == Py_None);
  __pyx_t_11 = (__pyx_t_10 != 0);
  if (!__pyx_t_11) {
  } else {
    __pyx_t_9 = __pyx_t_11;
    goto __pyx_L4_bool_binop_done;
  }
  __pyx_t_11 = (((__pyx_v_cec_activity_arr->dimensions[0]) == 0) != 0);
  __pyx_t_9 = __pyx_t_11;
  __pyx_L4_bool_binop_done:;
  if (__pyx_t_9) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1239
 * 
 *         if cec_activity_arr is None or cec_activity_arr.shape[0] == 0:
 *             cec_activity_arr = np.zeros_like(forget_gate_activity_arr)             # <<<<<<<<<<<<<<
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _cec_activity_arr = np.nansum(
 */
    __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1239, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1239, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __pyx_t_3 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) {
      __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_4);
      if (likely(__pyx_t_3)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
        __Pyx_INCREF(__pyx_t_3);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_4, function);
      }
    }
    if (!__pyx_t_3) {
      __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_4, ((PyObject *)__pyx_v_forget_gate_activity_arr)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1239, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_4)) {
        PyObject *__pyx_temp[2] = {__pyx_t_3, ((PyObject *)__pyx_v_forget_gate_activity_arr)};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1239, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
        __Pyx_GOTREF(__pyx_t_1);
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
        PyObject *__pyx_temp[2] = {__pyx_t_3, ((PyObject *)__pyx_v_forget_gate_activity_arr)};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1239, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
        __Pyx_GOTREF(__pyx_t_1);
      } else
      #endif
      {
        __pyx_t_2 = PyTuple_New(1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1239, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_2);
        __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_3); __pyx_t_3 = NULL;
        __Pyx_INCREF(((PyObject *)__pyx_v_forget_gate_activity_arr));
        __Pyx_GIVEREF(((PyObject *)__pyx_v_forget_gate_activity_arr));
        PyTuple_SET_ITEM(__pyx_t_2, 0+1, ((PyObject *)__pyx_v_forget_gate_activity_arr));
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_2, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1239, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1239, __pyx_L1_error)
    __Pyx_DECREF_SET(__pyx_v_cec_activity_arr, ((PyArrayObject *)__pyx_t_1));
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1238
 *         cdef np.ndarray[DOUBLE_t, ndim=4] output_gate_activity_arr = self.__output_conv.forward_propagate(observed_arr)
 * 
 *         if cec_activity_arr is None or cec_activity_arr.shape[0] == 0:             # <<<<<<<<<<<<<<
 *             cec_activity_arr = np.zeros_like(forget_gate_activity_arr)
 * 
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1241
 *             cec_activity_arr = np.zeros_like(forget_gate_activity_arr)
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _cec_activity_arr = np.nansum(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 np.nanprod(
 */
  __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1241, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_nansum); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1241, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1242
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _cec_activity_arr = np.nansum(
 *             np.array([             # <<<<<<<<<<<<<<
 *                 np.nanprod(
 *                     np.array([
 */
  __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1242, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_array); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1242, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1243
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _cec_activity_arr = np.nansum(
 *             np.array([
 *                 np.nanprod(             # <<<<<<<<<<<<<<
 *                     np.array([
 *                         np.expand_dims(given_activity_arr, axis=0),
 */
  __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1243, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_nanprod); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1243, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1244
 *             np.array([
 *                 np.nanprod(
 *                     np.array([             # <<<<<<<<<<<<<<
 *                         np.expand_dims(given_activity_arr, axis=0),
 *                         np.expand_dims(input_gate_activity_arr, axis=0)
 */
  __pyx_t_13 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1244, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_13);
  __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_array); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 1244, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_14);
  __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1245
 *                 np.nanprod(
 *                     np.array([
 *                         np.expand_dims(given_activity_arr, axis=0),             # <<<<<<<<<<<<<<
 *                         np.expand_dims(input_gate_activity_arr, axis=0)
 *                     ]),
 */
  __pyx_t_13 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1245, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_13);
  __pyx_t_15 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_expand_dims); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1245, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
  __pyx_t_13 = PyTuple_New(1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1245, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_13);
  __Pyx_INCREF(((PyObject *)__pyx_v_given_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_given_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_13, 0, ((PyObject *)__pyx_v_given_activity_arr));
  __pyx_t_16 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 1245, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_16);
  if (PyDict_SetItem(__pyx_t_16, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1245, __pyx_L1_error)
  __pyx_t_17 = __Pyx_PyObject_Call(__pyx_t_15, __pyx_t_13, __pyx_t_16); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1245, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
  __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
  __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1246
 *                     np.array([
 *                         np.expand_dims(given_activity_arr, axis=0),
 *                         np.expand_dims(input_gate_activity_arr, axis=0)             # <<<<<<<<<<<<<<
 *                     ]),
 *                     axis=0
 */
  __pyx_t_16 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 1246, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_16);
  __pyx_t_13 = __Pyx_PyObject_GetAttrStr(__pyx_t_16, __pyx_n_s_expand_dims); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1246, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_13);
  __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;
  __pyx_t_16 = PyTuple_New(1); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 1246, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_16);
  __Pyx_INCREF(((PyObject *)__pyx_v_input_gate_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_input_gate_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_16, 0, ((PyObject *)__pyx_v_input_gate_activity_arr));
  __pyx_t_15 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1246, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  if (PyDict_SetItem(__pyx_t_15, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1246, __pyx_L1_error)
  __pyx_t_18 = __Pyx_PyObject_Call(__pyx_t_13, __pyx_t_16, __pyx_t_15); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1246, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
  __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1244
 *             np.array([
 *                 np.nanprod(
 *                     np.array([             # <<<<<<<<<<<<<<
 *                         np.expand_dims(given_activity_arr, axis=0),
 *                         np.expand_dims(input_gate_activity_arr, axis=0)
 */
  __pyx_t_15 = PyList_New(2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1244, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __Pyx_GIVEREF(__pyx_t_17);
  PyList_SET_ITEM(__pyx_t_15, 0, __pyx_t_17);
  __Pyx_GIVEREF(__pyx_t_18);
  PyList_SET_ITEM(__pyx_t_15, 1, __pyx_t_18);
  __pyx_t_17 = 0;
  __pyx_t_18 = 0;
  __pyx_t_18 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_14))) {
    __pyx_t_18 = PyMethod_GET_SELF(__pyx_t_14);
    if (likely(__pyx_t_18)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_14);
      __Pyx_INCREF(__pyx_t_18);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_14, function);
    }
  }
  if (!__pyx_t_18) {
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_14, __pyx_t_15); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1244, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
    __Pyx_GOTREF(__pyx_t_2);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_14)) {
      PyObject *__pyx_temp[2] = {__pyx_t_18, __pyx_t_15};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_14, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1244, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_18); __pyx_t_18 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_14)) {
      PyObject *__pyx_temp[2] = {__pyx_t_18, __pyx_t_15};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_14, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1244, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_18); __pyx_t_18 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
    } else
    #endif
    {
      __pyx_t_17 = PyTuple_New(1+1); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1244, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_17);
      __Pyx_GIVEREF(__pyx_t_18); PyTuple_SET_ITEM(__pyx_t_17, 0, __pyx_t_18); __pyx_t_18 = NULL;
      __Pyx_GIVEREF(__pyx_t_15);
      PyTuple_SET_ITEM(__pyx_t_17, 0+1, __pyx_t_15);
      __pyx_t_15 = 0;
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_14, __pyx_t_17, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1244, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1243
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _cec_activity_arr = np.nansum(
 *             np.array([
 *                 np.nanprod(             # <<<<<<<<<<<<<<
 *                     np.array([
 *                         np.expand_dims(given_activity_arr, axis=0),
 */
  __pyx_t_14 = PyTuple_New(1); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 1243, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_14);
  __Pyx_GIVEREF(__pyx_t_2);
  PyTuple_SET_ITEM(__pyx_t_14, 0, __pyx_t_2);
  __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1248
 *                         np.expand_dims(input_gate_activity_arr, axis=0)
 *                     ]),
 *                     axis=0             # <<<<<<<<<<<<<<
 *                 ),
 *                 np.nanprod(
 */
  __pyx_t_2 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1248, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1248, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1243
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _cec_activity_arr = np.nansum(
 *             np.array([
 *                 np.nanprod(             # <<<<<<<<<<<<<<
 *                     np.array([
 *                         np.expand_dims(given_activity_arr, axis=0),
 */
  __pyx_t_17 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_t_14, __pyx_t_2); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1243, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
  __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1250
 *                     axis=0
 *                 ),
 *                 np.nanprod(             # <<<<<<<<<<<<<<
 *                     np.array([
 *                         np.expand_dims(forget_gate_activity_arr, axis=0),
 */
  __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1250, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_nanprod); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 1250, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_14);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1251
 *                 ),
 *                 np.nanprod(
 *                     np.array([             # <<<<<<<<<<<<<<
 *                         np.expand_dims(forget_gate_activity_arr, axis=0),
 *                         np.expand_dims(cec_activity_arr, axis=0)
 */
  __pyx_t_12 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1251, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __pyx_t_15 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_array); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1251, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1252
 *                 np.nanprod(
 *                     np.array([
 *                         np.expand_dims(forget_gate_activity_arr, axis=0),             # <<<<<<<<<<<<<<
 *                         np.expand_dims(cec_activity_arr, axis=0)
 *                     ]),
 */
  __pyx_t_12 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1252, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __pyx_t_18 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_expand_dims); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1252, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
  __pyx_t_12 = PyTuple_New(1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1252, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __Pyx_INCREF(((PyObject *)__pyx_v_forget_gate_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_forget_gate_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_12, 0, ((PyObject *)__pyx_v_forget_gate_activity_arr));
  __pyx_t_16 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 1252, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_16);
  if (PyDict_SetItem(__pyx_t_16, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1252, __pyx_L1_error)
  __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_18, __pyx_t_12, __pyx_t_16); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1252, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_13);
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
  __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1253
 *                     np.array([
 *                         np.expand_dims(forget_gate_activity_arr, axis=0),
 *                         np.expand_dims(cec_activity_arr, axis=0)             # <<<<<<<<<<<<<<
 *                     ]),
 *                     axis=0
 */
  __pyx_t_16 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 1253, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_16);
  __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_16, __pyx_n_s_expand_dims); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1253, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;
  __pyx_t_16 = PyTuple_New(1); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 1253, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_16);
  __Pyx_INCREF(((PyObject *)__pyx_v_cec_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_cec_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_16, 0, ((PyObject *)__pyx_v_cec_activity_arr));
  __pyx_t_18 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1253, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  if (PyDict_SetItem(__pyx_t_18, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1253, __pyx_L1_error)
  __pyx_t_19 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_t_16, __pyx_t_18); if (unlikely(!__pyx_t_19)) __PYX_ERR(0, 1253, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_19);
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
  __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1251
 *                 ),
 *                 np.nanprod(
 *                     np.array([             # <<<<<<<<<<<<<<
 *                         np.expand_dims(forget_gate_activity_arr, axis=0),
 *                         np.expand_dims(cec_activity_arr, axis=0)
 */
  __pyx_t_18 = PyList_New(2); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1251, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __Pyx_GIVEREF(__pyx_t_13);
  PyList_SET_ITEM(__pyx_t_18, 0, __pyx_t_13);
  __Pyx_GIVEREF(__pyx_t_19);
  PyList_SET_ITEM(__pyx_t_18, 1, __pyx_t_19);
  __pyx_t_13 = 0;
  __pyx_t_19 = 0;
  __pyx_t_19 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_15))) {
    __pyx_t_19 = PyMethod_GET_SELF(__pyx_t_15);
    if (likely(__pyx_t_19)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_15);
      __Pyx_INCREF(__pyx_t_19);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_15, function);
    }
  }
  if (!__pyx_t_19) {
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_15, __pyx_t_18); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1251, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;
    __Pyx_GOTREF(__pyx_t_2);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_15)) {
      PyObject *__pyx_temp[2] = {__pyx_t_19, __pyx_t_18};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_15, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1251, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_19); __pyx_t_19 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_15)) {
      PyObject *__pyx_temp[2] = {__pyx_t_19, __pyx_t_18};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_15, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1251, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_19); __pyx_t_19 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;
    } else
    #endif
    {
      __pyx_t_13 = PyTuple_New(1+1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1251, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_13);
      __Pyx_GIVEREF(__pyx_t_19); PyTuple_SET_ITEM(__pyx_t_13, 0, __pyx_t_19); __pyx_t_19 = NULL;
      __Pyx_GIVEREF(__pyx_t_18);
      PyTuple_SET_ITEM(__pyx_t_13, 0+1, __pyx_t_18);
      __pyx_t_18 = 0;
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_15, __pyx_t_13, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1251, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1250
 *                     axis=0
 *                 ),
 *                 np.nanprod(             # <<<<<<<<<<<<<<
 *                     np.array([
 *                         np.expand_dims(forget_gate_activity_arr, axis=0),
 */
  __pyx_t_15 = PyTuple_New(1); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1250, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __Pyx_GIVEREF(__pyx_t_2);
  PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_2);
  __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1255
 *                         np.expand_dims(cec_activity_arr, axis=0)
 *                     ]),
 *                     axis=0             # <<<<<<<<<<<<<<
 *                 )
 *             ]),
 */
  __pyx_t_2 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1255, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1255, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1250
 *                     axis=0
 *                 ),
 *                 np.nanprod(             # <<<<<<<<<<<<<<
 *                     np.array([
 *                         np.expand_dims(forget_gate_activity_arr, axis=0),
 */
  __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_14, __pyx_t_15, __pyx_t_2); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1250, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_13);
  __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1242
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _cec_activity_arr = np.nansum(
 *             np.array([             # <<<<<<<<<<<<<<
 *                 np.nanprod(
 *                     np.array([
 */
  __pyx_t_2 = PyList_New(2); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1242, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_GIVEREF(__pyx_t_17);
  PyList_SET_ITEM(__pyx_t_2, 0, __pyx_t_17);
  __Pyx_GIVEREF(__pyx_t_13);
  PyList_SET_ITEM(__pyx_t_2, 1, __pyx_t_13);
  __pyx_t_17 = 0;
  __pyx_t_13 = 0;
  __pyx_t_13 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_3))) {
    __pyx_t_13 = PyMethod_GET_SELF(__pyx_t_3);
    if (likely(__pyx_t_13)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_3);
      __Pyx_INCREF(__pyx_t_13);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_3, function);
    }
  }
  if (!__pyx_t_13) {
    __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_3, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1242, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_GOTREF(__pyx_t_1);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_3)) {
      PyObject *__pyx_temp[2] = {__pyx_t_13, __pyx_t_2};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_3, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1242, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_3)) {
      PyObject *__pyx_temp[2] = {__pyx_t_13, __pyx_t_2};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_3, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1242, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_13); __pyx_t_13 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    } else
    #endif
    {
      __pyx_t_17 = PyTuple_New(1+1); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1242, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_17);
      __Pyx_GIVEREF(__pyx_t_13); PyTuple_SET_ITEM(__pyx_t_17, 0, __pyx_t_13); __pyx_t_13 = NULL;
      __Pyx_GIVEREF(__pyx_t_2);
      PyTuple_SET_ITEM(__pyx_t_17, 0+1, __pyx_t_2);
      __pyx_t_2 = 0;
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_17, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1242, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1241
 *             cec_activity_arr = np.zeros_like(forget_gate_activity_arr)
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _cec_activity_arr = np.nansum(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 np.nanprod(
 */
  __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1241, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1258
 *                 )
 *             ]),
 *             axis=0             # <<<<<<<<<<<<<<
 *         )[0]
 * 
 */
  __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1258, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1258, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1241
 *             cec_activity_arr = np.zeros_like(forget_gate_activity_arr)
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _cec_activity_arr = np.nansum(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 np.nanprod(
 */
  __pyx_t_17 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_3, __pyx_t_1); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1241, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1259
 *             ]),
 *             axis=0
 *         )[0]             # <<<<<<<<<<<<<<
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _hidden_activity_arr = np.nanprod(
 */
  __pyx_t_1 = __Pyx_GetItemInt(__pyx_t_17, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1259, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1259, __pyx_L1_error)
  __pyx_t_20 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd__cec_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_20, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v__cec_activity_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd__cec_activity_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1241, __pyx_L1_error)
    } else {__pyx_pybuffernd__cec_activity_arr.diminfo[0].strides = __pyx_pybuffernd__cec_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd__cec_activity_arr.diminfo[0].shape = __pyx_pybuffernd__cec_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd__cec_activity_arr.diminfo[1].strides = __pyx_pybuffernd__cec_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd__cec_activity_arr.diminfo[1].shape = __pyx_pybuffernd__cec_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd__cec_activity_arr.diminfo[2].strides = __pyx_pybuffernd__cec_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd__cec_activity_arr.diminfo[2].shape = __pyx_pybuffernd__cec_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd__cec_activity_arr.diminfo[3].strides = __pyx_pybuffernd__cec_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd__cec_activity_arr.diminfo[3].shape = __pyx_pybuffernd__cec_activity_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_20 = 0;
  __pyx_v__cec_activity_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1261
 *         )[0]
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _hidden_activity_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 np.expand_dims(output_gate_activity_arr, axis=0),
 */
  __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1261, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_17 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_nanprod); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1261, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1262
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _hidden_activity_arr = np.nanprod(
 *             np.array([             # <<<<<<<<<<<<<<
 *                 np.expand_dims(output_gate_activity_arr, axis=0),
 *                 np.expand_dims(self.graph.hidden_activating_function.activate(_cec_activity_arr), axis=0)
 */
  __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1262, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_4 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_array); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1262, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1263
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _hidden_activity_arr = np.nanprod(
 *             np.array([
 *                 np.expand_dims(output_gate_activity_arr, axis=0),             # <<<<<<<<<<<<<<
 *                 np.expand_dims(self.graph.hidden_activating_function.activate(_cec_activity_arr), axis=0)
 *             ]),
 */
  __pyx_t_3 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1263, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_expand_dims); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1263, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __pyx_t_3 = PyTuple_New(1); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1263, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_INCREF(((PyObject *)__pyx_v_output_gate_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_output_gate_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_3, 0, ((PyObject *)__pyx_v_output_gate_activity_arr));
  __pyx_t_13 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1263, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_13);
  if (PyDict_SetItem(__pyx_t_13, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1263, __pyx_L1_error)
  __pyx_t_15 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_3, __pyx_t_13); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1263, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1264
 *             np.array([
 *                 np.expand_dims(output_gate_activity_arr, axis=0),
 *                 np.expand_dims(self.graph.hidden_activating_function.activate(_cec_activity_arr), axis=0)             # <<<<<<<<<<<<<<
 *             ]),
 *             axis=0
 */
  __pyx_t_13 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1264, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_13);
  __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_13, __pyx_n_s_expand_dims); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 1264, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);
  __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1264, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_14 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_hidden_activating_function); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 1264, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_14);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_14, __pyx_n_s_activate); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1264, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_14); __pyx_t_14 = 0;
  __pyx_t_14 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_14 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_14)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_14);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  if (!__pyx_t_14) {
    __pyx_t_13 = __Pyx_PyObject_CallOneArg(__pyx_t_2, ((PyObject *)__pyx_v__cec_activity_arr)); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1264, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_13);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[2] = {__pyx_t_14, ((PyObject *)__pyx_v__cec_activity_arr)};
      __pyx_t_13 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1264, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
      __Pyx_GOTREF(__pyx_t_13);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[2] = {__pyx_t_14, ((PyObject *)__pyx_v__cec_activity_arr)};
      __pyx_t_13 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1264, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_14); __pyx_t_14 = 0;
      __Pyx_GOTREF(__pyx_t_13);
    } else
    #endif
    {
      __pyx_t_18 = PyTuple_New(1+1); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1264, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_18);
      __Pyx_GIVEREF(__pyx_t_14); PyTuple_SET_ITEM(__pyx_t_18, 0, __pyx_t_14); __pyx_t_14 = NULL;
      __Pyx_INCREF(((PyObject *)__pyx_v__cec_activity_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v__cec_activity_arr));
      PyTuple_SET_ITEM(__pyx_t_18, 0+1, ((PyObject *)__pyx_v__cec_activity_arr));
      __pyx_t_13 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_18, NULL); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1264, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_13);
      __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1264, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_GIVEREF(__pyx_t_13);
  PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_13);
  __pyx_t_13 = 0;
  __pyx_t_13 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1264, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_13);
  if (PyDict_SetItem(__pyx_t_13, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1264, __pyx_L1_error)
  __pyx_t_18 = __Pyx_PyObject_Call(__pyx_t_3, __pyx_t_2, __pyx_t_13); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1264, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1262
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _hidden_activity_arr = np.nanprod(
 *             np.array([             # <<<<<<<<<<<<<<
 *                 np.expand_dims(output_gate_activity_arr, axis=0),
 *                 np.expand_dims(self.graph.hidden_activating_function.activate(_cec_activity_arr), axis=0)
 */
  __pyx_t_13 = PyList_New(2); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 1262, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_13);
  __Pyx_GIVEREF(__pyx_t_15);
  PyList_SET_ITEM(__pyx_t_13, 0, __pyx_t_15);
  __Pyx_GIVEREF(__pyx_t_18);
  PyList_SET_ITEM(__pyx_t_13, 1, __pyx_t_18);
  __pyx_t_15 = 0;
  __pyx_t_18 = 0;
  __pyx_t_18 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_4))) {
    __pyx_t_18 = PyMethod_GET_SELF(__pyx_t_4);
    if (likely(__pyx_t_18)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_4);
      __Pyx_INCREF(__pyx_t_18);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_4, function);
    }
  }
  if (!__pyx_t_18) {
    __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_4, __pyx_t_13); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1262, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
    __Pyx_GOTREF(__pyx_t_1);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_4)) {
      PyObject *__pyx_temp[2] = {__pyx_t_18, __pyx_t_13};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1262, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_18); __pyx_t_18 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_4)) {
      PyObject *__pyx_temp[2] = {__pyx_t_18, __pyx_t_13};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_4, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1262, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_18); __pyx_t_18 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_13); __pyx_t_13 = 0;
    } else
    #endif
    {
      __pyx_t_15 = PyTuple_New(1+1); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1262, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_15);
      __Pyx_GIVEREF(__pyx_t_18); PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_18); __pyx_t_18 = NULL;
      __Pyx_GIVEREF(__pyx_t_13);
      PyTuple_SET_ITEM(__pyx_t_15, 0+1, __pyx_t_13);
      __pyx_t_13 = 0;
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_4, __pyx_t_15, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1262, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1261
 *         )[0]
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _hidden_activity_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 np.expand_dims(output_gate_activity_arr, axis=0),
 */
  __pyx_t_4 = PyTuple_New(1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1261, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_4, 0, __pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1266
 *                 np.expand_dims(self.graph.hidden_activating_function.activate(_cec_activity_arr), axis=0)
 *             ]),
 *             axis=0             # <<<<<<<<<<<<<<
 *         )[0]
 * 
 */
  __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1266, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1266, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1261
 *         )[0]
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] _hidden_activity_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 np.expand_dims(output_gate_activity_arr, axis=0),
 */
  __pyx_t_15 = __Pyx_PyObject_Call(__pyx_t_17, __pyx_t_4, __pyx_t_1); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1261, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1267
 *             ]),
 *             axis=0
 *         )[0]             # <<<<<<<<<<<<<<
 * 
 *         self.__memory_tuple_list.append((
 */
  __pyx_t_1 = __Pyx_GetItemInt(__pyx_t_15, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1267, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1267, __pyx_L1_error)
  __pyx_t_21 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd__hidden_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_21, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v__hidden_activity_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd__hidden_activity_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1261, __pyx_L1_error)
    } else {__pyx_pybuffernd__hidden_activity_arr.diminfo[0].strides = __pyx_pybuffernd__hidden_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd__hidden_activity_arr.diminfo[0].shape = __pyx_pybuffernd__hidden_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd__hidden_activity_arr.diminfo[1].strides = __pyx_pybuffernd__hidden_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd__hidden_activity_arr.diminfo[1].shape = __pyx_pybuffernd__hidden_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd__hidden_activity_arr.diminfo[2].strides = __pyx_pybuffernd__hidden_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd__hidden_activity_arr.diminfo[2].shape = __pyx_pybuffernd__hidden_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd__hidden_activity_arr.diminfo[3].strides = __pyx_pybuffernd__hidden_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd__hidden_activity_arr.diminfo[3].shape = __pyx_pybuffernd__hidden_activity_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_21 = 0;
  __pyx_v__hidden_activity_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1269
 *         )[0]
 * 
 *         self.__memory_tuple_list.append((             # <<<<<<<<<<<<<<
 *             observed_arr,
 *             hidden_activity_arr,
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__memory_tuple_lis); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1269, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1270
 * 
 *         self.__memory_tuple_list.append((
 *             observed_arr,             # <<<<<<<<<<<<<<
 *             hidden_activity_arr,
 *             cec_activity_arr,
 */
  __pyx_t_15 = PyTuple_New(9); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1270, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __Pyx_INCREF(((PyObject *)__pyx_v_observed_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_observed_arr));
  PyTuple_SET_ITEM(__pyx_t_15, 0, ((PyObject *)__pyx_v_observed_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_hidden_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_hidden_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_15, 1, ((PyObject *)__pyx_v_hidden_activity_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_cec_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_cec_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_15, 2, ((PyObject *)__pyx_v_cec_activity_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_given_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_given_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_15, 3, ((PyObject *)__pyx_v_given_activity_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_input_gate_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_input_gate_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_15, 4, ((PyObject *)__pyx_v_input_gate_activity_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_forget_gate_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_forget_gate_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_15, 5, ((PyObject *)__pyx_v_forget_gate_activity_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_output_gate_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_output_gate_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_15, 6, ((PyObject *)__pyx_v_output_gate_activity_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v__cec_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v__cec_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_15, 7, ((PyObject *)__pyx_v__cec_activity_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v__hidden_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v__hidden_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_15, 8, ((PyObject *)__pyx_v__hidden_activity_arr));

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1269
 *         )[0]
 * 
 *         self.__memory_tuple_list.append((             # <<<<<<<<<<<<<<
 *             observed_arr,
 *             hidden_activity_arr,
 */
  __pyx_t_22 = __Pyx_PyObject_Append(__pyx_t_1, __pyx_t_15); if (unlikely(__pyx_t_22 == ((int)-1))) __PYX_ERR(0, 1269, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1281
 *         ))
 * 
 *         return (_hidden_activity_arr, _cec_activity_arr)             # <<<<<<<<<<<<<<
 * 
 *     def lstm_backward(
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_15 = PyTuple_New(2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1281, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __Pyx_INCREF(((PyObject *)__pyx_v__hidden_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v__hidden_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_15, 0, ((PyObject *)__pyx_v__hidden_activity_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v__cec_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v__cec_activity_arr));
  PyTuple_SET_ITEM(__pyx_t_15, 1, ((PyObject *)__pyx_v__cec_activity_arr));
  __pyx_r = __pyx_t_15;
  __pyx_t_15 = 0;
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1205
 *         return delta_arr, delta_hidden_arr, []
 * 
 *     def __lstm_forward(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray[DOUBLE_t, ndim=4] observed_arr,
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_12);
  __Pyx_XDECREF(__pyx_t_13);
  __Pyx_XDECREF(__pyx_t_14);
  __Pyx_XDECREF(__pyx_t_15);
  __Pyx_XDECREF(__pyx_t_16);
  __Pyx_XDECREF(__pyx_t_17);
  __Pyx_XDECREF(__pyx_t_18);
  __Pyx_XDECREF(__pyx_t_19);
  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd__cec_activity_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd__hidden_activity_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_observed_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer);
  __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.__lstm_forward", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  goto __pyx_L2;
  __pyx_L0:;
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd__cec_activity_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd__hidden_activity_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_observed_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer);
  __pyx_L2:;
  __Pyx_XDECREF((PyObject *)__pyx_v_given_activity_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_input_gate_activity_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_forget_gate_activity_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_output_gate_activity_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v__cec_activity_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v__hidden_activity_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_cec_activity_arr);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1283
 *         return (_hidden_activity_arr, _cec_activity_arr)
 * 
 *     def lstm_backward(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray[DOUBLE_t, ndim=4] delta_hidden_arr,
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_33lstm_backward(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_32lstm_backward[] = "\n        Back propagation in LSTM gate.\n        \n        Args:\n            delta_hidden_arr:   Delta from output layer to hidden layer.\n            delta_cec_arr:      Delta in LSTM gate.\n            cycle:              Now cycle or time.\n\n        Returns:\n            Tuple data.\n            - Delta from hidden layer to input layer,\n            - Delta in hidden layer at previous time,\n            - Delta in LSTM gate at previous time,\n            - `list` of gradations.\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_33lstm_backward = {"lstm_backward", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_33lstm_backward, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_32lstm_backward};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_33lstm_backward(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyArrayObject *__pyx_v_delta_hidden_arr = 0;
  PyArrayObject *__pyx_v_delta_cec_arr = 0;
  int __pyx_v_cycle;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("lstm_backward (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_delta_hidden_arr,&__pyx_n_s_delta_cec_arr,&__pyx_n_s_cycle,0};
    PyObject* values[4] = {0,0,0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  4: values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
        CYTHON_FALLTHROUGH;
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_delta_hidden_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("lstm_backward", 1, 4, 4, 1); __PYX_ERR(0, 1283, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (likely((values[2] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_delta_cec_arr)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("lstm_backward", 1, 4, 4, 2); __PYX_ERR(0, 1283, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  3:
        if (likely((values[3] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_cycle)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("lstm_backward", 1, 4, 4, 3); __PYX_ERR(0, 1283, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "lstm_backward") < 0)) __PYX_ERR(0, 1283, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 4) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
      values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
      values[3] = PyTuple_GET_ITEM(__pyx_args, 3);
    }
    __pyx_v_self = values[0];
    __pyx_v_delta_hidden_arr = ((PyArrayObject *)values[1]);
    __pyx_v_delta_cec_arr = ((PyArrayObject *)values[2]);
    __pyx_v_cycle = __Pyx_PyInt_As_int(values[3]); if (unlikely((__pyx_v_cycle == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 1287, __pyx_L3_error)
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("lstm_backward", 1, 4, 4, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1283, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.lstm_backward", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_delta_hidden_arr), __pyx_ptype_5numpy_ndarray, 1, "delta_hidden_arr", 0))) __PYX_ERR(0, 1285, __pyx_L1_error)
  if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_delta_cec_arr), __pyx_ptype_5numpy_ndarray, 1, "delta_cec_arr", 0))) __PYX_ERR(0, 1286, __pyx_L1_error)
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_32lstm_backward(__pyx_self, __pyx_v_self, __pyx_v_delta_hidden_arr, __pyx_v_delta_cec_arr, __pyx_v_cycle);

  /* function exit code */
  goto __pyx_L0;
  __pyx_L1_error:;
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_32lstm_backward(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyArrayObject *__pyx_v_delta_hidden_arr, PyArrayObject *__pyx_v_delta_cec_arr, int __pyx_v_cycle) {
  CYTHON_UNUSED PyArrayObject *__pyx_v_observed_arr = 0;
  CYTHON_UNUSED PyArrayObject *__pyx_v_pre_cec_activity_arr = 0;
  PyArrayObject *__pyx_v_given_activity_arr = 0;
  PyArrayObject *__pyx_v_input_gate_activity_arr = 0;
  PyArrayObject *__pyx_v_forget_gate_activity_arr = 0;
  PyArrayObject *__pyx_v_output_gate_activity_arr = 0;
  PyArrayObject *__pyx_v_cec_activity_arr = 0;
  PyArrayObject *__pyx_v_delta_top_arr = 0;
  PyArrayObject *__pyx_v_delta_pre_rnn_arr = 0;
  PyArrayObject *__pyx_v_delta_output_gate_arr = 0;
  PyArrayObject *__pyx_v_delta_forget_gate_arr = 0;
  PyArrayObject *__pyx_v_delta_input_gate_arr = 0;
  PyArrayObject *__pyx_v_delta_given_arr = 0;
  PyArrayObject *__pyx_v_delta_pre_hidden_arr = 0;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_cec_activity_arr;
  __Pyx_Buffer __pyx_pybuffer_cec_activity_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_delta_forget_gate_arr;
  __Pyx_Buffer __pyx_pybuffer_delta_forget_gate_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_delta_given_arr;
  __Pyx_Buffer __pyx_pybuffer_delta_given_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_delta_hidden_arr;
  __Pyx_Buffer __pyx_pybuffer_delta_hidden_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_delta_input_gate_arr;
  __Pyx_Buffer __pyx_pybuffer_delta_input_gate_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_delta_output_gate_arr;
  __Pyx_Buffer __pyx_pybuffer_delta_output_gate_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_delta_pre_hidden_arr;
  __Pyx_Buffer __pyx_pybuffer_delta_pre_hidden_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_delta_pre_rnn_arr;
  __Pyx_Buffer __pyx_pybuffer_delta_pre_rnn_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_delta_top_arr;
  __Pyx_Buffer __pyx_pybuffer_delta_top_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_forget_gate_activity_arr;
  __Pyx_Buffer __pyx_pybuffer_forget_gate_activity_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_given_activity_arr;
  __Pyx_Buffer __pyx_pybuffer_given_activity_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_input_gate_activity_arr;
  __Pyx_Buffer __pyx_pybuffer_input_gate_activity_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_observed_arr;
  __Pyx_Buffer __pyx_pybuffer_observed_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_output_gate_activity_arr;
  __Pyx_Buffer __pyx_pybuffer_output_gate_activity_arr;
  __Pyx_LocalBuf_ND __pyx_pybuffernd_pre_cec_activity_arr;
  __Pyx_Buffer __pyx_pybuffer_pre_cec_activity_arr;
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyArrayObject *__pyx_t_3 = NULL;
  PyArrayObject *__pyx_t_4 = NULL;
  PyArrayObject *__pyx_t_5 = NULL;
  PyArrayObject *__pyx_t_6 = NULL;
  PyArrayObject *__pyx_t_7 = NULL;
  PyArrayObject *__pyx_t_8 = NULL;
  PyArrayObject *__pyx_t_9 = NULL;
  int __pyx_t_10;
  PyObject *__pyx_t_11 = NULL;
  PyObject *__pyx_t_12 = NULL;
  PyArrayObject *__pyx_t_13 = NULL;
  int __pyx_t_14;
  PyObject *__pyx_t_15 = NULL;
  PyObject *__pyx_t_16 = NULL;
  PyObject *__pyx_t_17 = NULL;
  PyObject *__pyx_t_18 = NULL;
  PyObject *__pyx_t_19 = NULL;
  PyObject *__pyx_t_20 = NULL;
  PyObject *__pyx_t_21 = NULL;
  PyObject *__pyx_t_22 = NULL;
  PyObject *__pyx_t_23 = NULL;
  PyArrayObject *__pyx_t_24 = NULL;
  PyArrayObject *__pyx_t_25 = NULL;
  PyArrayObject *__pyx_t_26 = NULL;
  PyArrayObject *__pyx_t_27 = NULL;
  PyArrayObject *__pyx_t_28 = NULL;
  PyArrayObject *__pyx_t_29 = NULL;
  PyArrayObject *__pyx_t_30 = NULL;
  __Pyx_RefNannySetupContext("lstm_backward", 0);
  __Pyx_INCREF((PyObject *)__pyx_v_delta_hidden_arr);
  __Pyx_INCREF((PyObject *)__pyx_v_delta_cec_arr);
  __pyx_pybuffer_observed_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_observed_arr.refcount = 0;
  __pyx_pybuffernd_observed_arr.data = NULL;
  __pyx_pybuffernd_observed_arr.rcbuffer = &__pyx_pybuffer_observed_arr;
  __pyx_pybuffer_pre_cec_activity_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_pre_cec_activity_arr.refcount = 0;
  __pyx_pybuffernd_pre_cec_activity_arr.data = NULL;
  __pyx_pybuffernd_pre_cec_activity_arr.rcbuffer = &__pyx_pybuffer_pre_cec_activity_arr;
  __pyx_pybuffer_given_activity_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_given_activity_arr.refcount = 0;
  __pyx_pybuffernd_given_activity_arr.data = NULL;
  __pyx_pybuffernd_given_activity_arr.rcbuffer = &__pyx_pybuffer_given_activity_arr;
  __pyx_pybuffer_input_gate_activity_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_input_gate_activity_arr.refcount = 0;
  __pyx_pybuffernd_input_gate_activity_arr.data = NULL;
  __pyx_pybuffernd_input_gate_activity_arr.rcbuffer = &__pyx_pybuffer_input_gate_activity_arr;
  __pyx_pybuffer_forget_gate_activity_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_forget_gate_activity_arr.refcount = 0;
  __pyx_pybuffernd_forget_gate_activity_arr.data = NULL;
  __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer = &__pyx_pybuffer_forget_gate_activity_arr;
  __pyx_pybuffer_output_gate_activity_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_output_gate_activity_arr.refcount = 0;
  __pyx_pybuffernd_output_gate_activity_arr.data = NULL;
  __pyx_pybuffernd_output_gate_activity_arr.rcbuffer = &__pyx_pybuffer_output_gate_activity_arr;
  __pyx_pybuffer_cec_activity_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_cec_activity_arr.refcount = 0;
  __pyx_pybuffernd_cec_activity_arr.data = NULL;
  __pyx_pybuffernd_cec_activity_arr.rcbuffer = &__pyx_pybuffer_cec_activity_arr;
  __pyx_pybuffer_delta_top_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_delta_top_arr.refcount = 0;
  __pyx_pybuffernd_delta_top_arr.data = NULL;
  __pyx_pybuffernd_delta_top_arr.rcbuffer = &__pyx_pybuffer_delta_top_arr;
  __pyx_pybuffer_delta_pre_rnn_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_delta_pre_rnn_arr.refcount = 0;
  __pyx_pybuffernd_delta_pre_rnn_arr.data = NULL;
  __pyx_pybuffernd_delta_pre_rnn_arr.rcbuffer = &__pyx_pybuffer_delta_pre_rnn_arr;
  __pyx_pybuffer_delta_output_gate_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_delta_output_gate_arr.refcount = 0;
  __pyx_pybuffernd_delta_output_gate_arr.data = NULL;
  __pyx_pybuffernd_delta_output_gate_arr.rcbuffer = &__pyx_pybuffer_delta_output_gate_arr;
  __pyx_pybuffer_delta_forget_gate_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_delta_forget_gate_arr.refcount = 0;
  __pyx_pybuffernd_delta_forget_gate_arr.data = NULL;
  __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer = &__pyx_pybuffer_delta_forget_gate_arr;
  __pyx_pybuffer_delta_input_gate_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_delta_input_gate_arr.refcount = 0;
  __pyx_pybuffernd_delta_input_gate_arr.data = NULL;
  __pyx_pybuffernd_delta_input_gate_arr.rcbuffer = &__pyx_pybuffer_delta_input_gate_arr;
  __pyx_pybuffer_delta_given_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_delta_given_arr.refcount = 0;
  __pyx_pybuffernd_delta_given_arr.data = NULL;
  __pyx_pybuffernd_delta_given_arr.rcbuffer = &__pyx_pybuffer_delta_given_arr;
  __pyx_pybuffer_delta_pre_hidden_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_delta_pre_hidden_arr.refcount = 0;
  __pyx_pybuffernd_delta_pre_hidden_arr.data = NULL;
  __pyx_pybuffernd_delta_pre_hidden_arr.rcbuffer = &__pyx_pybuffer_delta_pre_hidden_arr;
  __pyx_pybuffer_delta_hidden_arr.pybuffer.buf = NULL;
  __pyx_pybuffer_delta_hidden_arr.refcount = 0;
  __pyx_pybuffernd_delta_hidden_arr.data = NULL;
  __pyx_pybuffernd_delta_hidden_arr.rcbuffer = &__pyx_pybuffer_delta_hidden_arr;
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_delta_hidden_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) __PYX_ERR(0, 1283, __pyx_L1_error)
  }
  __pyx_pybuffernd_delta_hidden_arr.diminfo[0].strides = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_hidden_arr.diminfo[0].shape = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_hidden_arr.diminfo[1].strides = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_hidden_arr.diminfo[1].shape = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_hidden_arr.diminfo[2].strides = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_hidden_arr.diminfo[2].shape = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_hidden_arr.diminfo[3].strides = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_hidden_arr.diminfo[3].shape = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.shape[3];

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1304
 *             - `list` of gradations.
 *         '''
 *         cdef np.ndarray[DOUBLE_t, ndim=4] observed_arr = self.__memory_tuple_list[cycle][0]             # <<<<<<<<<<<<<<
 *         cdef np.ndarray[DOUBLE_t, ndim=4] pre_cec_activity_arr = self.__memory_tuple_list[cycle][2]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] given_activity_arr = self.__memory_tuple_list[cycle][3]
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__memory_tuple_lis); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1304, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_GetItemInt(__pyx_t_1, __pyx_v_cycle, int, 1, __Pyx_PyInt_From_int, 0, 1, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1304, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_GetItemInt(__pyx_t_2, 0, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1304, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1304, __pyx_L1_error)
  __pyx_t_3 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_observed_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_3, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_observed_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1304, __pyx_L1_error)
    } else {__pyx_pybuffernd_observed_arr.diminfo[0].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_observed_arr.diminfo[0].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_observed_arr.diminfo[1].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_observed_arr.diminfo[1].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_observed_arr.diminfo[2].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_observed_arr.diminfo[2].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_observed_arr.diminfo[3].strides = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_observed_arr.diminfo[3].shape = __pyx_pybuffernd_observed_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_3 = 0;
  __pyx_v_observed_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1305
 *         '''
 *         cdef np.ndarray[DOUBLE_t, ndim=4] observed_arr = self.__memory_tuple_list[cycle][0]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] pre_cec_activity_arr = self.__memory_tuple_list[cycle][2]             # <<<<<<<<<<<<<<
 *         cdef np.ndarray[DOUBLE_t, ndim=4] given_activity_arr = self.__memory_tuple_list[cycle][3]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] input_gate_activity_arr = self.__memory_tuple_list[cycle][4]
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__memory_tuple_lis); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1305, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_GetItemInt(__pyx_t_1, __pyx_v_cycle, int, 1, __Pyx_PyInt_From_int, 0, 1, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1305, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_GetItemInt(__pyx_t_2, 2, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1305, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1305, __pyx_L1_error)
  __pyx_t_4 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_pre_cec_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_4, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_pre_cec_activity_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_pre_cec_activity_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1305, __pyx_L1_error)
    } else {__pyx_pybuffernd_pre_cec_activity_arr.diminfo[0].strides = __pyx_pybuffernd_pre_cec_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_pre_cec_activity_arr.diminfo[0].shape = __pyx_pybuffernd_pre_cec_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_pre_cec_activity_arr.diminfo[1].strides = __pyx_pybuffernd_pre_cec_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_pre_cec_activity_arr.diminfo[1].shape = __pyx_pybuffernd_pre_cec_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_pre_cec_activity_arr.diminfo[2].strides = __pyx_pybuffernd_pre_cec_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_pre_cec_activity_arr.diminfo[2].shape = __pyx_pybuffernd_pre_cec_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_pre_cec_activity_arr.diminfo[3].strides = __pyx_pybuffernd_pre_cec_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_pre_cec_activity_arr.diminfo[3].shape = __pyx_pybuffernd_pre_cec_activity_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_4 = 0;
  __pyx_v_pre_cec_activity_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1306
 *         cdef np.ndarray[DOUBLE_t, ndim=4] observed_arr = self.__memory_tuple_list[cycle][0]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] pre_cec_activity_arr = self.__memory_tuple_list[cycle][2]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] given_activity_arr = self.__memory_tuple_list[cycle][3]             # <<<<<<<<<<<<<<
 *         cdef np.ndarray[DOUBLE_t, ndim=4] input_gate_activity_arr = self.__memory_tuple_list[cycle][4]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] forget_gate_activity_arr = self.__memory_tuple_list[cycle][5]
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__memory_tuple_lis); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1306, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_GetItemInt(__pyx_t_1, __pyx_v_cycle, int, 1, __Pyx_PyInt_From_int, 0, 1, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1306, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_GetItemInt(__pyx_t_2, 3, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1306, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1306, __pyx_L1_error)
  __pyx_t_5 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_5, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_given_activity_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1306, __pyx_L1_error)
    } else {__pyx_pybuffernd_given_activity_arr.diminfo[0].strides = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_given_activity_arr.diminfo[0].shape = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_given_activity_arr.diminfo[1].strides = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_given_activity_arr.diminfo[1].shape = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_given_activity_arr.diminfo[2].strides = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_given_activity_arr.diminfo[2].shape = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_given_activity_arr.diminfo[3].strides = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_given_activity_arr.diminfo[3].shape = __pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_5 = 0;
  __pyx_v_given_activity_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1307
 *         cdef np.ndarray[DOUBLE_t, ndim=4] pre_cec_activity_arr = self.__memory_tuple_list[cycle][2]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] given_activity_arr = self.__memory_tuple_list[cycle][3]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] input_gate_activity_arr = self.__memory_tuple_list[cycle][4]             # <<<<<<<<<<<<<<
 *         cdef np.ndarray[DOUBLE_t, ndim=4] forget_gate_activity_arr = self.__memory_tuple_list[cycle][5]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] output_gate_activity_arr = self.__memory_tuple_list[cycle][6]
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__memory_tuple_lis); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1307, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_GetItemInt(__pyx_t_1, __pyx_v_cycle, int, 1, __Pyx_PyInt_From_int, 0, 1, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1307, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_GetItemInt(__pyx_t_2, 4, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1307, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1307, __pyx_L1_error)
  __pyx_t_6 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_6, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_input_gate_activity_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1307, __pyx_L1_error)
    } else {__pyx_pybuffernd_input_gate_activity_arr.diminfo[0].strides = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[0].shape = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[1].strides = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[1].shape = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[2].strides = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[2].shape = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[3].strides = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_input_gate_activity_arr.diminfo[3].shape = __pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_6 = 0;
  __pyx_v_input_gate_activity_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1308
 *         cdef np.ndarray[DOUBLE_t, ndim=4] given_activity_arr = self.__memory_tuple_list[cycle][3]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] input_gate_activity_arr = self.__memory_tuple_list[cycle][4]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] forget_gate_activity_arr = self.__memory_tuple_list[cycle][5]             # <<<<<<<<<<<<<<
 *         cdef np.ndarray[DOUBLE_t, ndim=4] output_gate_activity_arr = self.__memory_tuple_list[cycle][6]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] cec_activity_arr = self.__memory_tuple_list[cycle][7]
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__memory_tuple_lis); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1308, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_GetItemInt(__pyx_t_1, __pyx_v_cycle, int, 1, __Pyx_PyInt_From_int, 0, 1, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1308, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_GetItemInt(__pyx_t_2, 5, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1308, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1308, __pyx_L1_error)
  __pyx_t_7 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_7, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_forget_gate_activity_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1308, __pyx_L1_error)
    } else {__pyx_pybuffernd_forget_gate_activity_arr.diminfo[0].strides = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[0].shape = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[1].strides = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[1].shape = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[2].strides = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[2].shape = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[3].strides = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_forget_gate_activity_arr.diminfo[3].shape = __pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_7 = 0;
  __pyx_v_forget_gate_activity_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1309
 *         cdef np.ndarray[DOUBLE_t, ndim=4] input_gate_activity_arr = self.__memory_tuple_list[cycle][4]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] forget_gate_activity_arr = self.__memory_tuple_list[cycle][5]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] output_gate_activity_arr = self.__memory_tuple_list[cycle][6]             # <<<<<<<<<<<<<<
 *         cdef np.ndarray[DOUBLE_t, ndim=4] cec_activity_arr = self.__memory_tuple_list[cycle][7]
 * 
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__memory_tuple_lis); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1309, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_GetItemInt(__pyx_t_1, __pyx_v_cycle, int, 1, __Pyx_PyInt_From_int, 0, 1, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1309, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_GetItemInt(__pyx_t_2, 6, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1309, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1309, __pyx_L1_error)
  __pyx_t_8 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_8, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_output_gate_activity_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1309, __pyx_L1_error)
    } else {__pyx_pybuffernd_output_gate_activity_arr.diminfo[0].strides = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[0].shape = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[1].strides = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[1].shape = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[2].strides = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[2].shape = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[3].strides = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_output_gate_activity_arr.diminfo[3].shape = __pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_8 = 0;
  __pyx_v_output_gate_activity_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1310
 *         cdef np.ndarray[DOUBLE_t, ndim=4] forget_gate_activity_arr = self.__memory_tuple_list[cycle][5]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] output_gate_activity_arr = self.__memory_tuple_list[cycle][6]
 *         cdef np.ndarray[DOUBLE_t, ndim=4] cec_activity_arr = self.__memory_tuple_list[cycle][7]             # <<<<<<<<<<<<<<
 * 
 *         if delta_cec_arr.shape[0] == 0:
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__memory_tuple_lis); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1310, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_GetItemInt(__pyx_t_1, __pyx_v_cycle, int, 1, __Pyx_PyInt_From_int, 0, 1, 1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1310, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_GetItemInt(__pyx_t_2, 7, long, 1, __Pyx_PyInt_From_long, 0, 0, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1310, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1310, __pyx_L1_error)
  __pyx_t_9 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_cec_activity_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_9, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_cec_activity_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_cec_activity_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1310, __pyx_L1_error)
    } else {__pyx_pybuffernd_cec_activity_arr.diminfo[0].strides = __pyx_pybuffernd_cec_activity_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_cec_activity_arr.diminfo[0].shape = __pyx_pybuffernd_cec_activity_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_cec_activity_arr.diminfo[1].strides = __pyx_pybuffernd_cec_activity_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_cec_activity_arr.diminfo[1].shape = __pyx_pybuffernd_cec_activity_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_cec_activity_arr.diminfo[2].strides = __pyx_pybuffernd_cec_activity_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_cec_activity_arr.diminfo[2].shape = __pyx_pybuffernd_cec_activity_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_cec_activity_arr.diminfo[3].strides = __pyx_pybuffernd_cec_activity_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_cec_activity_arr.diminfo[3].shape = __pyx_pybuffernd_cec_activity_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_9 = 0;
  __pyx_v_cec_activity_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1312
 *         cdef np.ndarray[DOUBLE_t, ndim=4] cec_activity_arr = self.__memory_tuple_list[cycle][7]
 * 
 *         if delta_cec_arr.shape[0] == 0:             # <<<<<<<<<<<<<<
 *             delta_cec_arr = np.zeros_like(delta_hidden_arr)
 * 
 */
  __pyx_t_10 = (((__pyx_v_delta_cec_arr->dimensions[0]) == 0) != 0);
  if (__pyx_t_10) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1313
 * 
 *         if delta_cec_arr.shape[0] == 0:
 *             delta_cec_arr = np.zeros_like(delta_hidden_arr)             # <<<<<<<<<<<<<<
 * 
 *         if delta_hidden_arr.shape[1] != output_gate_activity_arr.shape[1]:
 */
    __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1313, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_zeros_like); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1313, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_11);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __pyx_t_2 = NULL;
    if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) {
      __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_11);
      if (likely(__pyx_t_2)) {
        PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11);
        __Pyx_INCREF(__pyx_t_2);
        __Pyx_INCREF(function);
        __Pyx_DECREF_SET(__pyx_t_11, function);
      }
    }
    if (!__pyx_t_2) {
      __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_11, ((PyObject *)__pyx_v_delta_hidden_arr)); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1313, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
    } else {
      #if CYTHON_FAST_PYCALL
      if (PyFunction_Check(__pyx_t_11)) {
        PyObject *__pyx_temp[2] = {__pyx_t_2, ((PyObject *)__pyx_v_delta_hidden_arr)};
        __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_11, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1313, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
        __Pyx_GOTREF(__pyx_t_1);
      } else
      #endif
      #if CYTHON_FAST_PYCCALL
      if (__Pyx_PyFastCFunction_Check(__pyx_t_11)) {
        PyObject *__pyx_temp[2] = {__pyx_t_2, ((PyObject *)__pyx_v_delta_hidden_arr)};
        __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_11, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1313, __pyx_L1_error)
        __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
        __Pyx_GOTREF(__pyx_t_1);
      } else
      #endif
      {
        __pyx_t_12 = PyTuple_New(1+1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1313, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_12);
        __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_2); __pyx_t_2 = NULL;
        __Pyx_INCREF(((PyObject *)__pyx_v_delta_hidden_arr));
        __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_hidden_arr));
        PyTuple_SET_ITEM(__pyx_t_12, 0+1, ((PyObject *)__pyx_v_delta_hidden_arr));
        __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_12, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1313, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_1);
        __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
      }
    }
    __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
    if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1313, __pyx_L1_error)
    __Pyx_DECREF_SET(__pyx_v_delta_cec_arr, ((PyArrayObject *)__pyx_t_1));
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1312
 *         cdef np.ndarray[DOUBLE_t, ndim=4] cec_activity_arr = self.__memory_tuple_list[cycle][7]
 * 
 *         if delta_cec_arr.shape[0] == 0:             # <<<<<<<<<<<<<<
 *             delta_cec_arr = np.zeros_like(delta_hidden_arr)
 * 
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1315
 *             delta_cec_arr = np.zeros_like(delta_hidden_arr)
 * 
 *         if delta_hidden_arr.shape[1] != output_gate_activity_arr.shape[1]:             # <<<<<<<<<<<<<<
 *             delta_hidden_arr = delta_hidden_arr.repeat(output_gate_activity_arr.shape[1], axis=1)
 * 
 */
  __pyx_t_10 = (((__pyx_v_delta_hidden_arr->dimensions[1]) != (__pyx_v_output_gate_activity_arr->dimensions[1])) != 0);
  if (__pyx_t_10) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1316
 * 
 *         if delta_hidden_arr.shape[1] != output_gate_activity_arr.shape[1]:
 *             delta_hidden_arr = delta_hidden_arr.repeat(output_gate_activity_arr.shape[1], axis=1)             # <<<<<<<<<<<<<<
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_top_arr = np.nanprod(
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_delta_hidden_arr), __pyx_n_s_repeat); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1316, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_11 = __Pyx_PyInt_From_Py_intptr_t((__pyx_v_output_gate_activity_arr->dimensions[1])); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1316, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_11);
    __pyx_t_12 = PyTuple_New(1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1316, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_12);
    __Pyx_GIVEREF(__pyx_t_11);
    PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_11);
    __pyx_t_11 = 0;
    __pyx_t_11 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1316, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_11);
    if (PyDict_SetItem(__pyx_t_11, __pyx_n_s_axis, __pyx_int_1) < 0) __PYX_ERR(0, 1316, __pyx_L1_error)
    __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_12, __pyx_t_11); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1316, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
    __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
    if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1316, __pyx_L1_error)
    __pyx_t_13 = ((PyArrayObject *)__pyx_t_2);
    {
      __Pyx_BufFmt_StackElem __pyx_stack[1];
      __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer);
      __pyx_t_14 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_13, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack);
      if (unlikely(__pyx_t_14 < 0)) {
        PyErr_Fetch(&__pyx_t_15, &__pyx_t_16, &__pyx_t_17);
        if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_delta_hidden_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
          Py_XDECREF(__pyx_t_15); Py_XDECREF(__pyx_t_16); Py_XDECREF(__pyx_t_17);
          __Pyx_RaiseBufferFallbackError();
        } else {
          PyErr_Restore(__pyx_t_15, __pyx_t_16, __pyx_t_17);
        }
        __pyx_t_15 = __pyx_t_16 = __pyx_t_17 = 0;
      }
      __pyx_pybuffernd_delta_hidden_arr.diminfo[0].strides = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_hidden_arr.diminfo[0].shape = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_hidden_arr.diminfo[1].strides = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_hidden_arr.diminfo[1].shape = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_hidden_arr.diminfo[2].strides = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_hidden_arr.diminfo[2].shape = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_hidden_arr.diminfo[3].strides = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_hidden_arr.diminfo[3].shape = __pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer.shape[3];
      if (unlikely(__pyx_t_14 < 0)) __PYX_ERR(0, 1316, __pyx_L1_error)
    }
    __pyx_t_13 = 0;
    __Pyx_DECREF_SET(__pyx_v_delta_hidden_arr, ((PyArrayObject *)__pyx_t_2));
    __pyx_t_2 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1315
 *             delta_cec_arr = np.zeros_like(delta_hidden_arr)
 * 
 *         if delta_hidden_arr.shape[1] != output_gate_activity_arr.shape[1]:             # <<<<<<<<<<<<<<
 *             delta_hidden_arr = delta_hidden_arr.repeat(output_gate_activity_arr.shape[1], axis=1)
 * 
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1318
 *             delta_hidden_arr = delta_hidden_arr.repeat(output_gate_activity_arr.shape[1], axis=1)
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_top_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_cec_arr,
 */
  __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1318, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_nanprod); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1318, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1319
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_top_arr = np.nanprod(
 *             np.array([             # <<<<<<<<<<<<<<
 *                 delta_cec_arr,
 *                 np.nansum(
 */
  __pyx_t_12 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1319, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_array); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1319, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1321
 *             np.array([
 *                 delta_cec_arr,
 *                 np.nansum(             # <<<<<<<<<<<<<<
 *                     np.array([
 *                         delta_hidden_arr,
 */
  __pyx_t_12 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1321, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __pyx_t_18 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_nansum); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1321, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1322
 *                 delta_cec_arr,
 *                 np.nansum(
 *                     np.array([             # <<<<<<<<<<<<<<
 *                         delta_hidden_arr,
 *                         output_gate_activity_arr,
 */
  __pyx_t_19 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_19)) __PYX_ERR(0, 1322, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_19);
  __pyx_t_20 = __Pyx_PyObject_GetAttrStr(__pyx_t_19, __pyx_n_s_array); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1322, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_20);
  __Pyx_DECREF(__pyx_t_19); __pyx_t_19 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1325
 *                         delta_hidden_arr,
 *                         output_gate_activity_arr,
 *                         self.graph.hidden_activating_function.derivative(cec_activity_arr)             # <<<<<<<<<<<<<<
 *                     ]),
 *                     axis=0
 */
  __pyx_t_21 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_21)) __PYX_ERR(0, 1325, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_21);
  __pyx_t_22 = __Pyx_PyObject_GetAttrStr(__pyx_t_21, __pyx_n_s_hidden_activating_function); if (unlikely(!__pyx_t_22)) __PYX_ERR(0, 1325, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_22);
  __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0;
  __pyx_t_21 = __Pyx_PyObject_GetAttrStr(__pyx_t_22, __pyx_n_s_derivative); if (unlikely(!__pyx_t_21)) __PYX_ERR(0, 1325, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_21);
  __Pyx_DECREF(__pyx_t_22); __pyx_t_22 = 0;
  __pyx_t_22 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_21))) {
    __pyx_t_22 = PyMethod_GET_SELF(__pyx_t_21);
    if (likely(__pyx_t_22)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_21);
      __Pyx_INCREF(__pyx_t_22);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_21, function);
    }
  }
  if (!__pyx_t_22) {
    __pyx_t_19 = __Pyx_PyObject_CallOneArg(__pyx_t_21, ((PyObject *)__pyx_v_cec_activity_arr)); if (unlikely(!__pyx_t_19)) __PYX_ERR(0, 1325, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_19);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_21)) {
      PyObject *__pyx_temp[2] = {__pyx_t_22, ((PyObject *)__pyx_v_cec_activity_arr)};
      __pyx_t_19 = __Pyx_PyFunction_FastCall(__pyx_t_21, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_19)) __PYX_ERR(0, 1325, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_22); __pyx_t_22 = 0;
      __Pyx_GOTREF(__pyx_t_19);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_21)) {
      PyObject *__pyx_temp[2] = {__pyx_t_22, ((PyObject *)__pyx_v_cec_activity_arr)};
      __pyx_t_19 = __Pyx_PyCFunction_FastCall(__pyx_t_21, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_19)) __PYX_ERR(0, 1325, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_22); __pyx_t_22 = 0;
      __Pyx_GOTREF(__pyx_t_19);
    } else
    #endif
    {
      __pyx_t_23 = PyTuple_New(1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1325, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_23);
      __Pyx_GIVEREF(__pyx_t_22); PyTuple_SET_ITEM(__pyx_t_23, 0, __pyx_t_22); __pyx_t_22 = NULL;
      __Pyx_INCREF(((PyObject *)__pyx_v_cec_activity_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_cec_activity_arr));
      PyTuple_SET_ITEM(__pyx_t_23, 0+1, ((PyObject *)__pyx_v_cec_activity_arr));
      __pyx_t_19 = __Pyx_PyObject_Call(__pyx_t_21, __pyx_t_23, NULL); if (unlikely(!__pyx_t_19)) __PYX_ERR(0, 1325, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_19);
      __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1322
 *                 delta_cec_arr,
 *                 np.nansum(
 *                     np.array([             # <<<<<<<<<<<<<<
 *                         delta_hidden_arr,
 *                         output_gate_activity_arr,
 */
  __pyx_t_21 = PyList_New(3); if (unlikely(!__pyx_t_21)) __PYX_ERR(0, 1322, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_21);
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_hidden_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_hidden_arr));
  PyList_SET_ITEM(__pyx_t_21, 0, ((PyObject *)__pyx_v_delta_hidden_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_output_gate_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_output_gate_activity_arr));
  PyList_SET_ITEM(__pyx_t_21, 1, ((PyObject *)__pyx_v_output_gate_activity_arr));
  __Pyx_GIVEREF(__pyx_t_19);
  PyList_SET_ITEM(__pyx_t_21, 2, __pyx_t_19);
  __pyx_t_19 = 0;
  __pyx_t_19 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_20))) {
    __pyx_t_19 = PyMethod_GET_SELF(__pyx_t_20);
    if (likely(__pyx_t_19)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_20);
      __Pyx_INCREF(__pyx_t_19);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_20, function);
    }
  }
  if (!__pyx_t_19) {
    __pyx_t_12 = __Pyx_PyObject_CallOneArg(__pyx_t_20, __pyx_t_21); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1322, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0;
    __Pyx_GOTREF(__pyx_t_12);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_20)) {
      PyObject *__pyx_temp[2] = {__pyx_t_19, __pyx_t_21};
      __pyx_t_12 = __Pyx_PyFunction_FastCall(__pyx_t_20, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1322, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_19); __pyx_t_19 = 0;
      __Pyx_GOTREF(__pyx_t_12);
      __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_20)) {
      PyObject *__pyx_temp[2] = {__pyx_t_19, __pyx_t_21};
      __pyx_t_12 = __Pyx_PyCFunction_FastCall(__pyx_t_20, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1322, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_19); __pyx_t_19 = 0;
      __Pyx_GOTREF(__pyx_t_12);
      __Pyx_DECREF(__pyx_t_21); __pyx_t_21 = 0;
    } else
    #endif
    {
      __pyx_t_23 = PyTuple_New(1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1322, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_23);
      __Pyx_GIVEREF(__pyx_t_19); PyTuple_SET_ITEM(__pyx_t_23, 0, __pyx_t_19); __pyx_t_19 = NULL;
      __Pyx_GIVEREF(__pyx_t_21);
      PyTuple_SET_ITEM(__pyx_t_23, 0+1, __pyx_t_21);
      __pyx_t_21 = 0;
      __pyx_t_12 = __Pyx_PyObject_Call(__pyx_t_20, __pyx_t_23, NULL); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1322, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1321
 *             np.array([
 *                 delta_cec_arr,
 *                 np.nansum(             # <<<<<<<<<<<<<<
 *                     np.array([
 *                         delta_hidden_arr,
 */
  __pyx_t_20 = PyTuple_New(1); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1321, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_20);
  __Pyx_GIVEREF(__pyx_t_12);
  PyTuple_SET_ITEM(__pyx_t_20, 0, __pyx_t_12);
  __pyx_t_12 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1327
 *                         self.graph.hidden_activating_function.derivative(cec_activity_arr)
 *                     ]),
 *                     axis=0             # <<<<<<<<<<<<<<
 *                 )
 *             ]),
 */
  __pyx_t_12 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1327, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  if (PyDict_SetItem(__pyx_t_12, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1327, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1321
 *             np.array([
 *                 delta_cec_arr,
 *                 np.nansum(             # <<<<<<<<<<<<<<
 *                     np.array([
 *                         delta_hidden_arr,
 */
  __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_18, __pyx_t_20, __pyx_t_12); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1321, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_23);
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;
  __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0;
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1319
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_top_arr = np.nanprod(
 *             np.array([             # <<<<<<<<<<<<<<
 *                 delta_cec_arr,
 *                 np.nansum(
 */
  __pyx_t_12 = PyList_New(2); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1319, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_cec_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_cec_arr));
  PyList_SET_ITEM(__pyx_t_12, 0, ((PyObject *)__pyx_v_delta_cec_arr));
  __Pyx_GIVEREF(__pyx_t_23);
  PyList_SET_ITEM(__pyx_t_12, 1, __pyx_t_23);
  __pyx_t_23 = 0;
  __pyx_t_23 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_1))) {
    __pyx_t_23 = PyMethod_GET_SELF(__pyx_t_1);
    if (likely(__pyx_t_23)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1);
      __Pyx_INCREF(__pyx_t_23);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_1, function);
    }
  }
  if (!__pyx_t_23) {
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_12); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1319, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
    __Pyx_GOTREF(__pyx_t_2);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_1)) {
      PyObject *__pyx_temp[2] = {__pyx_t_23, __pyx_t_12};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_1, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1319, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_23); __pyx_t_23 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_1)) {
      PyObject *__pyx_temp[2] = {__pyx_t_23, __pyx_t_12};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_1, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1319, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_23); __pyx_t_23 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
    } else
    #endif
    {
      __pyx_t_20 = PyTuple_New(1+1); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1319, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_20);
      __Pyx_GIVEREF(__pyx_t_23); PyTuple_SET_ITEM(__pyx_t_20, 0, __pyx_t_23); __pyx_t_23 = NULL;
      __Pyx_GIVEREF(__pyx_t_12);
      PyTuple_SET_ITEM(__pyx_t_20, 0+1, __pyx_t_12);
      __pyx_t_12 = 0;
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_20, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1319, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1318
 *             delta_hidden_arr = delta_hidden_arr.repeat(output_gate_activity_arr.shape[1], axis=1)
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_top_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_cec_arr,
 */
  __pyx_t_1 = PyTuple_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1318, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_GIVEREF(__pyx_t_2);
  PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_2);
  __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1330
 *                 )
 *             ]),
 *             axis=0             # <<<<<<<<<<<<<<
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_pre_rnn_arr = np.nanprod(
 */
  __pyx_t_2 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1330, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1330, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1318
 *             delta_hidden_arr = delta_hidden_arr.repeat(output_gate_activity_arr.shape[1], axis=1)
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_top_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_cec_arr,
 */
  __pyx_t_20 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_1, __pyx_t_2); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1318, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_20);
  __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (!(likely(((__pyx_t_20) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_20, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1318, __pyx_L1_error)
  __pyx_t_24 = ((PyArrayObject *)__pyx_t_20);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_top_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_24, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_delta_top_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_delta_top_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1318, __pyx_L1_error)
    } else {__pyx_pybuffernd_delta_top_arr.diminfo[0].strides = __pyx_pybuffernd_delta_top_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_top_arr.diminfo[0].shape = __pyx_pybuffernd_delta_top_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_top_arr.diminfo[1].strides = __pyx_pybuffernd_delta_top_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_top_arr.diminfo[1].shape = __pyx_pybuffernd_delta_top_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_top_arr.diminfo[2].strides = __pyx_pybuffernd_delta_top_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_top_arr.diminfo[2].shape = __pyx_pybuffernd_delta_top_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_top_arr.diminfo[3].strides = __pyx_pybuffernd_delta_top_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_top_arr.diminfo[3].shape = __pyx_pybuffernd_delta_top_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_24 = 0;
  __pyx_v_delta_top_arr = ((PyArrayObject *)__pyx_t_20);
  __pyx_t_20 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1332
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_pre_rnn_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([delta_top_arr, forget_gate_activity_arr]),
 *             axis=0
 */
  __pyx_t_20 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1332, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_20);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_20, __pyx_n_s_nanprod); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1332, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1333
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_pre_rnn_arr = np.nanprod(
 *             np.array([delta_top_arr, forget_gate_activity_arr]),             # <<<<<<<<<<<<<<
 *             axis=0
 *         )
 */
  __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1333, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_array); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1333, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = PyList_New(2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1333, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_top_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_top_arr));
  PyList_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_delta_top_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_forget_gate_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_forget_gate_activity_arr));
  PyList_SET_ITEM(__pyx_t_1, 1, ((PyObject *)__pyx_v_forget_gate_activity_arr));
  __pyx_t_12 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) {
    __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_11);
    if (likely(__pyx_t_12)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11);
      __Pyx_INCREF(__pyx_t_12);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_11, function);
    }
  }
  if (!__pyx_t_12) {
    __pyx_t_20 = __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_1); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1333, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_GOTREF(__pyx_t_20);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_11)) {
      PyObject *__pyx_temp[2] = {__pyx_t_12, __pyx_t_1};
      __pyx_t_20 = __Pyx_PyFunction_FastCall(__pyx_t_11, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1333, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
      __Pyx_GOTREF(__pyx_t_20);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_11)) {
      PyObject *__pyx_temp[2] = {__pyx_t_12, __pyx_t_1};
      __pyx_t_20 = __Pyx_PyCFunction_FastCall(__pyx_t_11, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1333, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
      __Pyx_GOTREF(__pyx_t_20);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    {
      __pyx_t_23 = PyTuple_New(1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1333, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_23);
      __Pyx_GIVEREF(__pyx_t_12); PyTuple_SET_ITEM(__pyx_t_23, 0, __pyx_t_12); __pyx_t_12 = NULL;
      __Pyx_GIVEREF(__pyx_t_1);
      PyTuple_SET_ITEM(__pyx_t_23, 0+1, __pyx_t_1);
      __pyx_t_1 = 0;
      __pyx_t_20 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_23, NULL); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1333, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_20);
      __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1332
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_pre_rnn_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([delta_top_arr, forget_gate_activity_arr]),
 *             axis=0
 */
  __pyx_t_11 = PyTuple_New(1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1332, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);
  __Pyx_GIVEREF(__pyx_t_20);
  PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_20);
  __pyx_t_20 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1334
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_pre_rnn_arr = np.nanprod(
 *             np.array([delta_top_arr, forget_gate_activity_arr]),
 *             axis=0             # <<<<<<<<<<<<<<
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_output_gate_arr = np.nanprod(
 */
  __pyx_t_20 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1334, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_20);
  if (PyDict_SetItem(__pyx_t_20, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1334, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1332
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_pre_rnn_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([delta_top_arr, forget_gate_activity_arr]),
 *             axis=0
 */
  __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_11, __pyx_t_20); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1332, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_23);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
  __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0;
  if (!(likely(((__pyx_t_23) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_23, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1332, __pyx_L1_error)
  __pyx_t_25 = ((PyArrayObject *)__pyx_t_23);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_pre_rnn_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_25, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_delta_pre_rnn_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_delta_pre_rnn_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1332, __pyx_L1_error)
    } else {__pyx_pybuffernd_delta_pre_rnn_arr.diminfo[0].strides = __pyx_pybuffernd_delta_pre_rnn_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_pre_rnn_arr.diminfo[0].shape = __pyx_pybuffernd_delta_pre_rnn_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_pre_rnn_arr.diminfo[1].strides = __pyx_pybuffernd_delta_pre_rnn_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_pre_rnn_arr.diminfo[1].shape = __pyx_pybuffernd_delta_pre_rnn_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_pre_rnn_arr.diminfo[2].strides = __pyx_pybuffernd_delta_pre_rnn_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_pre_rnn_arr.diminfo[2].shape = __pyx_pybuffernd_delta_pre_rnn_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_pre_rnn_arr.diminfo[3].strides = __pyx_pybuffernd_delta_pre_rnn_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_pre_rnn_arr.diminfo[3].shape = __pyx_pybuffernd_delta_pre_rnn_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_25 = 0;
  __pyx_v_delta_pre_rnn_arr = ((PyArrayObject *)__pyx_t_23);
  __pyx_t_23 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1336
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_output_gate_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_hidden_arr,
 */
  __pyx_t_23 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1336, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_23);
  __pyx_t_20 = __Pyx_PyObject_GetAttrStr(__pyx_t_23, __pyx_n_s_nanprod); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1336, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_20);
  __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1337
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_output_gate_arr = np.nanprod(
 *             np.array([             # <<<<<<<<<<<<<<
 *                 delta_hidden_arr,
 *                 cec_activity_arr,
 */
  __pyx_t_11 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1337, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);
  __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_array); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1337, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1340
 *                 delta_hidden_arr,
 *                 cec_activity_arr,
 *                 output_gate_activity_arr             # <<<<<<<<<<<<<<
 *             ]),
 *             axis=0
 */
  __pyx_t_11 = PyList_New(3); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1337, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_hidden_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_hidden_arr));
  PyList_SET_ITEM(__pyx_t_11, 0, ((PyObject *)__pyx_v_delta_hidden_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_cec_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_cec_activity_arr));
  PyList_SET_ITEM(__pyx_t_11, 1, ((PyObject *)__pyx_v_cec_activity_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_output_gate_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_output_gate_activity_arr));
  PyList_SET_ITEM(__pyx_t_11, 2, ((PyObject *)__pyx_v_output_gate_activity_arr));
  __pyx_t_1 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_2))) {
    __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_2);
    if (likely(__pyx_t_1)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2);
      __Pyx_INCREF(__pyx_t_1);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_2, function);
    }
  }
  if (!__pyx_t_1) {
    __pyx_t_23 = __Pyx_PyObject_CallOneArg(__pyx_t_2, __pyx_t_11); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1337, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
    __Pyx_GOTREF(__pyx_t_23);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_11};
      __pyx_t_23 = __Pyx_PyFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1337, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_23);
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_2)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_11};
      __pyx_t_23 = __Pyx_PyCFunction_FastCall(__pyx_t_2, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1337, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_23);
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
    } else
    #endif
    {
      __pyx_t_12 = PyTuple_New(1+1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1337, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_1); __pyx_t_1 = NULL;
      __Pyx_GIVEREF(__pyx_t_11);
      PyTuple_SET_ITEM(__pyx_t_12, 0+1, __pyx_t_11);
      __pyx_t_11 = 0;
      __pyx_t_23 = __Pyx_PyObject_Call(__pyx_t_2, __pyx_t_12, NULL); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1337, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_23);
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1336
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_output_gate_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_hidden_arr,
 */
  __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1336, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_GIVEREF(__pyx_t_23);
  PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_23);
  __pyx_t_23 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1342
 *                 output_gate_activity_arr
 *             ]),
 *             axis=0             # <<<<<<<<<<<<<<
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_forget_gate_arr = np.nanprod(
 */
  __pyx_t_23 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1342, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_23);
  if (PyDict_SetItem(__pyx_t_23, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1342, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1336
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_output_gate_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_hidden_arr,
 */
  __pyx_t_12 = __Pyx_PyObject_Call(__pyx_t_20, __pyx_t_2, __pyx_t_23); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1336, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
  if (!(likely(((__pyx_t_12) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_12, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1336, __pyx_L1_error)
  __pyx_t_26 = ((PyArrayObject *)__pyx_t_12);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_26, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_delta_output_gate_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1336, __pyx_L1_error)
    } else {__pyx_pybuffernd_delta_output_gate_arr.diminfo[0].strides = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[0].shape = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[1].strides = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[1].shape = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[2].strides = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[2].shape = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[3].strides = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[3].shape = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_26 = 0;
  __pyx_v_delta_output_gate_arr = ((PyArrayObject *)__pyx_t_12);
  __pyx_t_12 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1344
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_forget_gate_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_top_arr,
 */
  __pyx_t_12 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1344, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_nanprod); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1344, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_23);
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1345
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_forget_gate_arr = np.nanprod(
 *             np.array([             # <<<<<<<<<<<<<<
 *                 delta_top_arr,
 *                 delta_pre_rnn_arr,
 */
  __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1345, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_20 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_array); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1345, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_20);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1348
 *                 delta_top_arr,
 *                 delta_pre_rnn_arr,
 *                 forget_gate_activity_arr             # <<<<<<<<<<<<<<
 *             ]),
 *             axis=0
 */
  __pyx_t_2 = PyList_New(3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1345, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_top_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_top_arr));
  PyList_SET_ITEM(__pyx_t_2, 0, ((PyObject *)__pyx_v_delta_top_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_pre_rnn_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_pre_rnn_arr));
  PyList_SET_ITEM(__pyx_t_2, 1, ((PyObject *)__pyx_v_delta_pre_rnn_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_forget_gate_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_forget_gate_activity_arr));
  PyList_SET_ITEM(__pyx_t_2, 2, ((PyObject *)__pyx_v_forget_gate_activity_arr));
  __pyx_t_11 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_20))) {
    __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_20);
    if (likely(__pyx_t_11)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_20);
      __Pyx_INCREF(__pyx_t_11);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_20, function);
    }
  }
  if (!__pyx_t_11) {
    __pyx_t_12 = __Pyx_PyObject_CallOneArg(__pyx_t_20, __pyx_t_2); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1345, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_GOTREF(__pyx_t_12);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_20)) {
      PyObject *__pyx_temp[2] = {__pyx_t_11, __pyx_t_2};
      __pyx_t_12 = __Pyx_PyFunction_FastCall(__pyx_t_20, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1345, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0;
      __Pyx_GOTREF(__pyx_t_12);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_20)) {
      PyObject *__pyx_temp[2] = {__pyx_t_11, __pyx_t_2};
      __pyx_t_12 = __Pyx_PyCFunction_FastCall(__pyx_t_20, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1345, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0;
      __Pyx_GOTREF(__pyx_t_12);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    } else
    #endif
    {
      __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1345, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_11); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_11); __pyx_t_11 = NULL;
      __Pyx_GIVEREF(__pyx_t_2);
      PyTuple_SET_ITEM(__pyx_t_1, 0+1, __pyx_t_2);
      __pyx_t_2 = 0;
      __pyx_t_12 = __Pyx_PyObject_Call(__pyx_t_20, __pyx_t_1, NULL); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1345, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1344
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_forget_gate_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_top_arr,
 */
  __pyx_t_20 = PyTuple_New(1); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1344, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_20);
  __Pyx_GIVEREF(__pyx_t_12);
  PyTuple_SET_ITEM(__pyx_t_20, 0, __pyx_t_12);
  __pyx_t_12 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1350
 *                 forget_gate_activity_arr
 *             ]),
 *             axis=0             # <<<<<<<<<<<<<<
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_input_gate_arr = np.nanprod(
 */
  __pyx_t_12 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1350, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  if (PyDict_SetItem(__pyx_t_12, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1350, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1344
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_forget_gate_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_top_arr,
 */
  __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_23, __pyx_t_20, __pyx_t_12); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1344, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
  __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0;
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
  if (!(likely(((__pyx_t_1) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_1, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1344, __pyx_L1_error)
  __pyx_t_27 = ((PyArrayObject *)__pyx_t_1);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_27, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_delta_forget_gate_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1344, __pyx_L1_error)
    } else {__pyx_pybuffernd_delta_forget_gate_arr.diminfo[0].strides = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[0].shape = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[1].strides = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[1].shape = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[2].strides = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[2].shape = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[3].strides = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[3].shape = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_27 = 0;
  __pyx_v_delta_forget_gate_arr = ((PyArrayObject *)__pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1352
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_input_gate_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_top_arr,
 */
  __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1352, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_nanprod); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1352, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1353
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_input_gate_arr = np.nanprod(
 *             np.array([             # <<<<<<<<<<<<<<
 *                 delta_top_arr,
 *                 given_activity_arr,
 */
  __pyx_t_20 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1353, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_20);
  __pyx_t_23 = __Pyx_PyObject_GetAttrStr(__pyx_t_20, __pyx_n_s_array); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1353, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_23);
  __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1356
 *                 delta_top_arr,
 *                 given_activity_arr,
 *                 input_gate_activity_arr             # <<<<<<<<<<<<<<
 *             ]),
 *             axis=0
 */
  __pyx_t_20 = PyList_New(3); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1353, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_20);
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_top_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_top_arr));
  PyList_SET_ITEM(__pyx_t_20, 0, ((PyObject *)__pyx_v_delta_top_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_given_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_given_activity_arr));
  PyList_SET_ITEM(__pyx_t_20, 1, ((PyObject *)__pyx_v_given_activity_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_input_gate_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_input_gate_activity_arr));
  PyList_SET_ITEM(__pyx_t_20, 2, ((PyObject *)__pyx_v_input_gate_activity_arr));
  __pyx_t_2 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_23))) {
    __pyx_t_2 = PyMethod_GET_SELF(__pyx_t_23);
    if (likely(__pyx_t_2)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_23);
      __Pyx_INCREF(__pyx_t_2);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_23, function);
    }
  }
  if (!__pyx_t_2) {
    __pyx_t_1 = __Pyx_PyObject_CallOneArg(__pyx_t_23, __pyx_t_20); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1353, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0;
    __Pyx_GOTREF(__pyx_t_1);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_23)) {
      PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_20};
      __pyx_t_1 = __Pyx_PyFunction_FastCall(__pyx_t_23, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1353, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_23)) {
      PyObject *__pyx_temp[2] = {__pyx_t_2, __pyx_t_20};
      __pyx_t_1 = __Pyx_PyCFunction_FastCall(__pyx_t_23, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1353, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0;
    } else
    #endif
    {
      __pyx_t_11 = PyTuple_New(1+1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1353, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_2); __pyx_t_2 = NULL;
      __Pyx_GIVEREF(__pyx_t_20);
      PyTuple_SET_ITEM(__pyx_t_11, 0+1, __pyx_t_20);
      __pyx_t_20 = 0;
      __pyx_t_1 = __Pyx_PyObject_Call(__pyx_t_23, __pyx_t_11, NULL); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1353, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1352
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_input_gate_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_top_arr,
 */
  __pyx_t_23 = PyTuple_New(1); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1352, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_23);
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_23, 0, __pyx_t_1);
  __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1358
 *                 input_gate_activity_arr
 *             ]),
 *             axis=0             # <<<<<<<<<<<<<<
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_given_arr = np.nanprod(
 */
  __pyx_t_1 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1358, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_t_1, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1358, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1352
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_input_gate_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_top_arr,
 */
  __pyx_t_11 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_t_23, __pyx_t_1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1352, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
  __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (!(likely(((__pyx_t_11) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_11, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1352, __pyx_L1_error)
  __pyx_t_28 = ((PyArrayObject *)__pyx_t_11);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_28, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_delta_input_gate_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1352, __pyx_L1_error)
    } else {__pyx_pybuffernd_delta_input_gate_arr.diminfo[0].strides = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[0].shape = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[1].strides = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[1].shape = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[2].strides = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[2].shape = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[3].strides = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[3].shape = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_28 = 0;
  __pyx_v_delta_input_gate_arr = ((PyArrayObject *)__pyx_t_11);
  __pyx_t_11 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1360
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_given_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_top_arr,
 */
  __pyx_t_11 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1360, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_nanprod); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1360, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1361
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_given_arr = np.nanprod(
 *             np.array([             # <<<<<<<<<<<<<<
 *                 delta_top_arr,
 *                 input_gate_activity_arr,
 */
  __pyx_t_23 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1361, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_23);
  __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_23, __pyx_n_s_array); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1361, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1364
 *                 delta_top_arr,
 *                 input_gate_activity_arr,
 *                 given_activity_arr             # <<<<<<<<<<<<<<
 *             ]),
 *             axis=0
 */
  __pyx_t_23 = PyList_New(3); if (unlikely(!__pyx_t_23)) __PYX_ERR(0, 1361, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_23);
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_top_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_top_arr));
  PyList_SET_ITEM(__pyx_t_23, 0, ((PyObject *)__pyx_v_delta_top_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_input_gate_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_input_gate_activity_arr));
  PyList_SET_ITEM(__pyx_t_23, 1, ((PyObject *)__pyx_v_input_gate_activity_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_given_activity_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_given_activity_arr));
  PyList_SET_ITEM(__pyx_t_23, 2, ((PyObject *)__pyx_v_given_activity_arr));
  __pyx_t_20 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_12))) {
    __pyx_t_20 = PyMethod_GET_SELF(__pyx_t_12);
    if (likely(__pyx_t_20)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_12);
      __Pyx_INCREF(__pyx_t_20);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_12, function);
    }
  }
  if (!__pyx_t_20) {
    __pyx_t_11 = __Pyx_PyObject_CallOneArg(__pyx_t_12, __pyx_t_23); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1361, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
    __Pyx_GOTREF(__pyx_t_11);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_12)) {
      PyObject *__pyx_temp[2] = {__pyx_t_20, __pyx_t_23};
      __pyx_t_11 = __Pyx_PyFunction_FastCall(__pyx_t_12, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1361, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_20); __pyx_t_20 = 0;
      __Pyx_GOTREF(__pyx_t_11);
      __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_12)) {
      PyObject *__pyx_temp[2] = {__pyx_t_20, __pyx_t_23};
      __pyx_t_11 = __Pyx_PyCFunction_FastCall(__pyx_t_12, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1361, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_20); __pyx_t_20 = 0;
      __Pyx_GOTREF(__pyx_t_11);
      __Pyx_DECREF(__pyx_t_23); __pyx_t_23 = 0;
    } else
    #endif
    {
      __pyx_t_2 = PyTuple_New(1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1361, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_GIVEREF(__pyx_t_20); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_20); __pyx_t_20 = NULL;
      __Pyx_GIVEREF(__pyx_t_23);
      PyTuple_SET_ITEM(__pyx_t_2, 0+1, __pyx_t_23);
      __pyx_t_23 = 0;
      __pyx_t_11 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_t_2, NULL); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1361, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1360
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_given_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_top_arr,
 */
  __pyx_t_12 = PyTuple_New(1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1360, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __Pyx_GIVEREF(__pyx_t_11);
  PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_11);
  __pyx_t_11 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1366
 *                 given_activity_arr
 *             ]),
 *             axis=0             # <<<<<<<<<<<<<<
 *         )
 * 
 */
  __pyx_t_11 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1366, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);
  if (PyDict_SetItem(__pyx_t_11, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1366, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1360
 *             axis=0
 *         )
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_given_arr = np.nanprod(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_top_arr,
 */
  __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_12, __pyx_t_11); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1360, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
  __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
  if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1360, __pyx_L1_error)
  __pyx_t_29 = ((PyArrayObject *)__pyx_t_2);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_29, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_delta_given_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1360, __pyx_L1_error)
    } else {__pyx_pybuffernd_delta_given_arr.diminfo[0].strides = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_given_arr.diminfo[0].shape = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_given_arr.diminfo[1].strides = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_given_arr.diminfo[1].shape = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_given_arr.diminfo[2].strides = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_given_arr.diminfo[2].shape = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_given_arr.diminfo[3].strides = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_given_arr.diminfo[3].shape = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_29 = 0;
  __pyx_v_delta_given_arr = ((PyArrayObject *)__pyx_t_2);
  __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1369
 *         )
 * 
 *         delta_output_gate_arr = self.__output_conv.back_propagate(delta_output_gate_arr)             # <<<<<<<<<<<<<<
 *         delta_forget_gate_arr = self.__forgot_conv.back_propagate(delta_forget_gate_arr)
 *         delta_input_gate_arr = self.__input_conv.back_propagate(delta_input_gate_arr)
 */
  __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1369, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);
  __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_back_propagate); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1369, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
  __pyx_t_11 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_12))) {
    __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_12);
    if (likely(__pyx_t_11)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_12);
      __Pyx_INCREF(__pyx_t_11);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_12, function);
    }
  }
  if (!__pyx_t_11) {
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_12, ((PyObject *)__pyx_v_delta_output_gate_arr)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1369, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_12)) {
      PyObject *__pyx_temp[2] = {__pyx_t_11, ((PyObject *)__pyx_v_delta_output_gate_arr)};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_12, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1369, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0;
      __Pyx_GOTREF(__pyx_t_2);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_12)) {
      PyObject *__pyx_temp[2] = {__pyx_t_11, ((PyObject *)__pyx_v_delta_output_gate_arr)};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_12, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1369, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0;
      __Pyx_GOTREF(__pyx_t_2);
    } else
    #endif
    {
      __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1369, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_11); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_11); __pyx_t_11 = NULL;
      __Pyx_INCREF(((PyObject *)__pyx_v_delta_output_gate_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_output_gate_arr));
      PyTuple_SET_ITEM(__pyx_t_1, 0+1, ((PyObject *)__pyx_v_delta_output_gate_arr));
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_t_1, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1369, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
  if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1369, __pyx_L1_error)
  __pyx_t_26 = ((PyArrayObject *)__pyx_t_2);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer);
    __pyx_t_14 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_26, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack);
    if (unlikely(__pyx_t_14 < 0)) {
      PyErr_Fetch(&__pyx_t_17, &__pyx_t_16, &__pyx_t_15);
      if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_delta_output_gate_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
        Py_XDECREF(__pyx_t_17); Py_XDECREF(__pyx_t_16); Py_XDECREF(__pyx_t_15);
        __Pyx_RaiseBufferFallbackError();
      } else {
        PyErr_Restore(__pyx_t_17, __pyx_t_16, __pyx_t_15);
      }
      __pyx_t_17 = __pyx_t_16 = __pyx_t_15 = 0;
    }
    __pyx_pybuffernd_delta_output_gate_arr.diminfo[0].strides = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[0].shape = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[1].strides = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[1].shape = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[2].strides = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[2].shape = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[3].strides = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_output_gate_arr.diminfo[3].shape = __pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer.shape[3];
    if (unlikely(__pyx_t_14 < 0)) __PYX_ERR(0, 1369, __pyx_L1_error)
  }
  __pyx_t_26 = 0;
  __Pyx_DECREF_SET(__pyx_v_delta_output_gate_arr, ((PyArrayObject *)__pyx_t_2));
  __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1370
 * 
 *         delta_output_gate_arr = self.__output_conv.back_propagate(delta_output_gate_arr)
 *         delta_forget_gate_arr = self.__forgot_conv.back_propagate(delta_forget_gate_arr)             # <<<<<<<<<<<<<<
 *         delta_input_gate_arr = self.__input_conv.back_propagate(delta_input_gate_arr)
 *         delta_given_arr = self.__given_conv.back_propagate(delta_given_arr)
 */
  __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1370, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_12, __pyx_n_s_back_propagate); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1370, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
  __pyx_t_12 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_1))) {
    __pyx_t_12 = PyMethod_GET_SELF(__pyx_t_1);
    if (likely(__pyx_t_12)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_1);
      __Pyx_INCREF(__pyx_t_12);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_1, function);
    }
  }
  if (!__pyx_t_12) {
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_1, ((PyObject *)__pyx_v_delta_forget_gate_arr)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1370, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_1)) {
      PyObject *__pyx_temp[2] = {__pyx_t_12, ((PyObject *)__pyx_v_delta_forget_gate_arr)};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_1, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1370, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
      __Pyx_GOTREF(__pyx_t_2);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_1)) {
      PyObject *__pyx_temp[2] = {__pyx_t_12, ((PyObject *)__pyx_v_delta_forget_gate_arr)};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_1, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1370, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_12); __pyx_t_12 = 0;
      __Pyx_GOTREF(__pyx_t_2);
    } else
    #endif
    {
      __pyx_t_11 = PyTuple_New(1+1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1370, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_11);
      __Pyx_GIVEREF(__pyx_t_12); PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_12); __pyx_t_12 = NULL;
      __Pyx_INCREF(((PyObject *)__pyx_v_delta_forget_gate_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_forget_gate_arr));
      PyTuple_SET_ITEM(__pyx_t_11, 0+1, ((PyObject *)__pyx_v_delta_forget_gate_arr));
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_t_11, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1370, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1370, __pyx_L1_error)
  __pyx_t_27 = ((PyArrayObject *)__pyx_t_2);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer);
    __pyx_t_14 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_27, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack);
    if (unlikely(__pyx_t_14 < 0)) {
      PyErr_Fetch(&__pyx_t_15, &__pyx_t_16, &__pyx_t_17);
      if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_delta_forget_gate_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
        Py_XDECREF(__pyx_t_15); Py_XDECREF(__pyx_t_16); Py_XDECREF(__pyx_t_17);
        __Pyx_RaiseBufferFallbackError();
      } else {
        PyErr_Restore(__pyx_t_15, __pyx_t_16, __pyx_t_17);
      }
      __pyx_t_15 = __pyx_t_16 = __pyx_t_17 = 0;
    }
    __pyx_pybuffernd_delta_forget_gate_arr.diminfo[0].strides = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[0].shape = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[1].strides = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[1].shape = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[2].strides = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[2].shape = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[3].strides = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_forget_gate_arr.diminfo[3].shape = __pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer.shape[3];
    if (unlikely(__pyx_t_14 < 0)) __PYX_ERR(0, 1370, __pyx_L1_error)
  }
  __pyx_t_27 = 0;
  __Pyx_DECREF_SET(__pyx_v_delta_forget_gate_arr, ((PyArrayObject *)__pyx_t_2));
  __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1371
 *         delta_output_gate_arr = self.__output_conv.back_propagate(delta_output_gate_arr)
 *         delta_forget_gate_arr = self.__forgot_conv.back_propagate(delta_forget_gate_arr)
 *         delta_input_gate_arr = self.__input_conv.back_propagate(delta_input_gate_arr)             # <<<<<<<<<<<<<<
 *         delta_given_arr = self.__given_conv.back_propagate(delta_given_arr)
 * 
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1371, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_back_propagate); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1371, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_11))) {
    __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_11);
    if (likely(__pyx_t_1)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11);
      __Pyx_INCREF(__pyx_t_1);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_11, function);
    }
  }
  if (!__pyx_t_1) {
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_11, ((PyObject *)__pyx_v_delta_input_gate_arr)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1371, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_11)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, ((PyObject *)__pyx_v_delta_input_gate_arr)};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_11, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1371, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_2);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_11)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, ((PyObject *)__pyx_v_delta_input_gate_arr)};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_11, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1371, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_2);
    } else
    #endif
    {
      __pyx_t_12 = PyTuple_New(1+1); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1371, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_12);
      __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_12, 0, __pyx_t_1); __pyx_t_1 = NULL;
      __Pyx_INCREF(((PyObject *)__pyx_v_delta_input_gate_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_input_gate_arr));
      PyTuple_SET_ITEM(__pyx_t_12, 0+1, ((PyObject *)__pyx_v_delta_input_gate_arr));
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_12, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1371, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
  if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1371, __pyx_L1_error)
  __pyx_t_28 = ((PyArrayObject *)__pyx_t_2);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer);
    __pyx_t_14 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_28, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack);
    if (unlikely(__pyx_t_14 < 0)) {
      PyErr_Fetch(&__pyx_t_17, &__pyx_t_16, &__pyx_t_15);
      if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_delta_input_gate_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
        Py_XDECREF(__pyx_t_17); Py_XDECREF(__pyx_t_16); Py_XDECREF(__pyx_t_15);
        __Pyx_RaiseBufferFallbackError();
      } else {
        PyErr_Restore(__pyx_t_17, __pyx_t_16, __pyx_t_15);
      }
      __pyx_t_17 = __pyx_t_16 = __pyx_t_15 = 0;
    }
    __pyx_pybuffernd_delta_input_gate_arr.diminfo[0].strides = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[0].shape = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[1].strides = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[1].shape = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[2].strides = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[2].shape = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[3].strides = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_input_gate_arr.diminfo[3].shape = __pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer.shape[3];
    if (unlikely(__pyx_t_14 < 0)) __PYX_ERR(0, 1371, __pyx_L1_error)
  }
  __pyx_t_28 = 0;
  __Pyx_DECREF_SET(__pyx_v_delta_input_gate_arr, ((PyArrayObject *)__pyx_t_2));
  __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1372
 *         delta_forget_gate_arr = self.__forgot_conv.back_propagate(delta_forget_gate_arr)
 *         delta_input_gate_arr = self.__input_conv.back_propagate(delta_input_gate_arr)
 *         delta_given_arr = self.__given_conv.back_propagate(delta_given_arr)             # <<<<<<<<<<<<<<
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_pre_hidden_arr = np.nansum(
 */
  __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1372, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);
  __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_11, __pyx_n_s_back_propagate); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1372, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
  __pyx_t_11 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_12))) {
    __pyx_t_11 = PyMethod_GET_SELF(__pyx_t_12);
    if (likely(__pyx_t_11)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_12);
      __Pyx_INCREF(__pyx_t_11);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_12, function);
    }
  }
  if (!__pyx_t_11) {
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_12, ((PyObject *)__pyx_v_delta_given_arr)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1372, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_12)) {
      PyObject *__pyx_temp[2] = {__pyx_t_11, ((PyObject *)__pyx_v_delta_given_arr)};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_12, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1372, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0;
      __Pyx_GOTREF(__pyx_t_2);
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_12)) {
      PyObject *__pyx_temp[2] = {__pyx_t_11, ((PyObject *)__pyx_v_delta_given_arr)};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_12, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1372, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_11); __pyx_t_11 = 0;
      __Pyx_GOTREF(__pyx_t_2);
    } else
    #endif
    {
      __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1372, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_11); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_11); __pyx_t_11 = NULL;
      __Pyx_INCREF(((PyObject *)__pyx_v_delta_given_arr));
      __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_given_arr));
      PyTuple_SET_ITEM(__pyx_t_1, 0+1, ((PyObject *)__pyx_v_delta_given_arr));
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_t_1, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1372, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
  if (!(likely(((__pyx_t_2) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_2, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1372, __pyx_L1_error)
  __pyx_t_29 = ((PyArrayObject *)__pyx_t_2);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer);
    __pyx_t_14 = __Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_29, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack);
    if (unlikely(__pyx_t_14 < 0)) {
      PyErr_Fetch(&__pyx_t_15, &__pyx_t_16, &__pyx_t_17);
      if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer, (PyObject*)__pyx_v_delta_given_arr, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
        Py_XDECREF(__pyx_t_15); Py_XDECREF(__pyx_t_16); Py_XDECREF(__pyx_t_17);
        __Pyx_RaiseBufferFallbackError();
      } else {
        PyErr_Restore(__pyx_t_15, __pyx_t_16, __pyx_t_17);
      }
      __pyx_t_15 = __pyx_t_16 = __pyx_t_17 = 0;
    }
    __pyx_pybuffernd_delta_given_arr.diminfo[0].strides = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_given_arr.diminfo[0].shape = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_given_arr.diminfo[1].strides = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_given_arr.diminfo[1].shape = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_given_arr.diminfo[2].strides = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_given_arr.diminfo[2].shape = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_given_arr.diminfo[3].strides = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_given_arr.diminfo[3].shape = __pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer.shape[3];
    if (unlikely(__pyx_t_14 < 0)) __PYX_ERR(0, 1372, __pyx_L1_error)
  }
  __pyx_t_29 = 0;
  __Pyx_DECREF_SET(__pyx_v_delta_given_arr, ((PyArrayObject *)__pyx_t_2));
  __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1374
 *         delta_given_arr = self.__given_conv.back_propagate(delta_given_arr)
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_pre_hidden_arr = np.nansum(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_output_gate_arr,
 */
  __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1374, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_12 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_nansum); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 1374, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1375
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_pre_hidden_arr = np.nansum(
 *             np.array([             # <<<<<<<<<<<<<<
 *                 delta_output_gate_arr,
 *                 delta_forget_gate_arr,
 */
  __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1375, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_11 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_array); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1375, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1379
 *                 delta_forget_gate_arr,
 *                 delta_input_gate_arr,
 *                 delta_given_arr             # <<<<<<<<<<<<<<
 *             ]),
 *             axis=0
 */
  __pyx_t_1 = PyList_New(4); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1375, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_output_gate_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_output_gate_arr));
  PyList_SET_ITEM(__pyx_t_1, 0, ((PyObject *)__pyx_v_delta_output_gate_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_forget_gate_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_forget_gate_arr));
  PyList_SET_ITEM(__pyx_t_1, 1, ((PyObject *)__pyx_v_delta_forget_gate_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_input_gate_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_input_gate_arr));
  PyList_SET_ITEM(__pyx_t_1, 2, ((PyObject *)__pyx_v_delta_input_gate_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_given_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_given_arr));
  PyList_SET_ITEM(__pyx_t_1, 3, ((PyObject *)__pyx_v_delta_given_arr));
  __pyx_t_23 = NULL;
  if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_11))) {
    __pyx_t_23 = PyMethod_GET_SELF(__pyx_t_11);
    if (likely(__pyx_t_23)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_11);
      __Pyx_INCREF(__pyx_t_23);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_11, function);
    }
  }
  if (!__pyx_t_23) {
    __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_11, __pyx_t_1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1375, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_GOTREF(__pyx_t_2);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_11)) {
      PyObject *__pyx_temp[2] = {__pyx_t_23, __pyx_t_1};
      __pyx_t_2 = __Pyx_PyFunction_FastCall(__pyx_t_11, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1375, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_23); __pyx_t_23 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_11)) {
      PyObject *__pyx_temp[2] = {__pyx_t_23, __pyx_t_1};
      __pyx_t_2 = __Pyx_PyCFunction_FastCall(__pyx_t_11, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1375, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_23); __pyx_t_23 = 0;
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    {
      __pyx_t_20 = PyTuple_New(1+1); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1375, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_20);
      __Pyx_GIVEREF(__pyx_t_23); PyTuple_SET_ITEM(__pyx_t_20, 0, __pyx_t_23); __pyx_t_23 = NULL;
      __Pyx_GIVEREF(__pyx_t_1);
      PyTuple_SET_ITEM(__pyx_t_20, 0+1, __pyx_t_1);
      __pyx_t_1 = 0;
      __pyx_t_2 = __Pyx_PyObject_Call(__pyx_t_11, __pyx_t_20, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1375, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_2);
      __Pyx_DECREF(__pyx_t_20); __pyx_t_20 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1374
 *         delta_given_arr = self.__given_conv.back_propagate(delta_given_arr)
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_pre_hidden_arr = np.nansum(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_output_gate_arr,
 */
  __pyx_t_11 = PyTuple_New(1); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 1374, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);
  __Pyx_GIVEREF(__pyx_t_2);
  PyTuple_SET_ITEM(__pyx_t_11, 0, __pyx_t_2);
  __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1381
 *                 delta_given_arr
 *             ]),
 *             axis=0             # <<<<<<<<<<<<<<
 *         )
 * 
 */
  __pyx_t_2 = __Pyx_PyDict_NewPresized(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1381, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_t_2, __pyx_n_s_axis, __pyx_int_0) < 0) __PYX_ERR(0, 1381, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1374
 *         delta_given_arr = self.__given_conv.back_propagate(delta_given_arr)
 * 
 *         cdef np.ndarray[DOUBLE_t, ndim=4] delta_pre_hidden_arr = np.nansum(             # <<<<<<<<<<<<<<
 *             np.array([
 *                 delta_output_gate_arr,
 */
  __pyx_t_20 = __Pyx_PyObject_Call(__pyx_t_12, __pyx_t_11, __pyx_t_2); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1374, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_20);
  __Pyx_DECREF(__pyx_t_12); __pyx_t_12 = 0;
  __Pyx_DECREF(__pyx_t_11); __pyx_t_11 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  if (!(likely(((__pyx_t_20) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_20, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 1374, __pyx_L1_error)
  __pyx_t_30 = ((PyArrayObject *)__pyx_t_20);
  {
    __Pyx_BufFmt_StackElem __pyx_stack[1];
    if (unlikely(__Pyx_GetBufferAndValidate(&__pyx_pybuffernd_delta_pre_hidden_arr.rcbuffer->pybuffer, (PyObject*)__pyx_t_30, &__Pyx_TypeInfo_nn___pyx_t_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_DOUBLE_t, PyBUF_FORMAT| PyBUF_STRIDES, 4, 0, __pyx_stack) == -1)) {
      __pyx_v_delta_pre_hidden_arr = ((PyArrayObject *)Py_None); __Pyx_INCREF(Py_None); __pyx_pybuffernd_delta_pre_hidden_arr.rcbuffer->pybuffer.buf = NULL;
      __PYX_ERR(0, 1374, __pyx_L1_error)
    } else {__pyx_pybuffernd_delta_pre_hidden_arr.diminfo[0].strides = __pyx_pybuffernd_delta_pre_hidden_arr.rcbuffer->pybuffer.strides[0]; __pyx_pybuffernd_delta_pre_hidden_arr.diminfo[0].shape = __pyx_pybuffernd_delta_pre_hidden_arr.rcbuffer->pybuffer.shape[0]; __pyx_pybuffernd_delta_pre_hidden_arr.diminfo[1].strides = __pyx_pybuffernd_delta_pre_hidden_arr.rcbuffer->pybuffer.strides[1]; __pyx_pybuffernd_delta_pre_hidden_arr.diminfo[1].shape = __pyx_pybuffernd_delta_pre_hidden_arr.rcbuffer->pybuffer.shape[1]; __pyx_pybuffernd_delta_pre_hidden_arr.diminfo[2].strides = __pyx_pybuffernd_delta_pre_hidden_arr.rcbuffer->pybuffer.strides[2]; __pyx_pybuffernd_delta_pre_hidden_arr.diminfo[2].shape = __pyx_pybuffernd_delta_pre_hidden_arr.rcbuffer->pybuffer.shape[2]; __pyx_pybuffernd_delta_pre_hidden_arr.diminfo[3].strides = __pyx_pybuffernd_delta_pre_hidden_arr.rcbuffer->pybuffer.strides[3]; __pyx_pybuffernd_delta_pre_hidden_arr.diminfo[3].shape = __pyx_pybuffernd_delta_pre_hidden_arr.rcbuffer->pybuffer.shape[3];
    }
  }
  __pyx_t_30 = 0;
  __pyx_v_delta_pre_hidden_arr = ((PyArrayObject *)__pyx_t_20);
  __pyx_t_20 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1384
 *         )
 * 
 *         return (delta_pre_hidden_arr, delta_pre_rnn_arr)             # <<<<<<<<<<<<<<
 * 
 *     def save_pre_learned_params(self, dir_name, file_name=None):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_20 = PyTuple_New(2); if (unlikely(!__pyx_t_20)) __PYX_ERR(0, 1384, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_20);
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_pre_hidden_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_pre_hidden_arr));
  PyTuple_SET_ITEM(__pyx_t_20, 0, ((PyObject *)__pyx_v_delta_pre_hidden_arr));
  __Pyx_INCREF(((PyObject *)__pyx_v_delta_pre_rnn_arr));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_delta_pre_rnn_arr));
  PyTuple_SET_ITEM(__pyx_t_20, 1, ((PyObject *)__pyx_v_delta_pre_rnn_arr));
  __pyx_r = __pyx_t_20;
  __pyx_t_20 = 0;
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1283
 *         return (_hidden_activity_arr, _cec_activity_arr)
 * 
 *     def lstm_backward(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray[DOUBLE_t, ndim=4] delta_hidden_arr,
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_11);
  __Pyx_XDECREF(__pyx_t_12);
  __Pyx_XDECREF(__pyx_t_18);
  __Pyx_XDECREF(__pyx_t_19);
  __Pyx_XDECREF(__pyx_t_20);
  __Pyx_XDECREF(__pyx_t_21);
  __Pyx_XDECREF(__pyx_t_22);
  __Pyx_XDECREF(__pyx_t_23);
  { PyObject *__pyx_type, *__pyx_value, *__pyx_tb;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&__pyx_type, &__pyx_value, &__pyx_tb);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_cec_activity_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_pre_hidden_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_pre_rnn_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_top_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_observed_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer);
    __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pre_cec_activity_arr.rcbuffer->pybuffer);
  __Pyx_ErrRestore(__pyx_type, __pyx_value, __pyx_tb);}
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.lstm_backward", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  goto __pyx_L2;
  __pyx_L0:;
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_cec_activity_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_forget_gate_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_given_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_hidden_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_input_gate_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_output_gate_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_pre_hidden_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_pre_rnn_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_delta_top_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_forget_gate_activity_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_given_activity_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_input_gate_activity_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_observed_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_output_gate_activity_arr.rcbuffer->pybuffer);
  __Pyx_SafeReleaseBuffer(&__pyx_pybuffernd_pre_cec_activity_arr.rcbuffer->pybuffer);
  __pyx_L2:;
  __Pyx_XDECREF((PyObject *)__pyx_v_observed_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_pre_cec_activity_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_given_activity_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_input_gate_activity_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_forget_gate_activity_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_output_gate_activity_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_cec_activity_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_top_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_pre_rnn_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_output_gate_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_forget_gate_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_input_gate_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_given_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_pre_hidden_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_hidden_arr);
  __Pyx_XDECREF((PyObject *)__pyx_v_delta_cec_arr);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1386
 *         return (delta_pre_hidden_arr, delta_pre_rnn_arr)
 * 
 *     def save_pre_learned_params(self, dir_name, file_name=None):             # <<<<<<<<<<<<<<
 *         '''
 *         Save pre-learned parameters.
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_35save_pre_learned_params(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_34save_pre_learned_params[] = "\n        Save pre-learned parameters.\n        \n        Args:\n            dir_name:   Path of dir. If `None`, the file is saved in the current directory.\n            file_name:  File name.\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_35save_pre_learned_params = {"save_pre_learned_params", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_35save_pre_learned_params, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_34save_pre_learned_params};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_35save_pre_learned_params(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_dir_name = 0;
  PyObject *__pyx_v_file_name = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("save_pre_learned_params (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_dir_name,&__pyx_n_s_file_name,0};
    PyObject* values[3] = {0,0,0};
    values[2] = ((PyObject *)((PyObject *)Py_None));
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_dir_name)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("save_pre_learned_params", 0, 2, 3, 1); __PYX_ERR(0, 1386, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_file_name);
          if (value) { values[2] = value; kw_args--; }
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "save_pre_learned_params") < 0)) __PYX_ERR(0, 1386, __pyx_L3_error)
      }
    } else {
      switch (PyTuple_GET_SIZE(__pyx_args)) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        break;
        default: goto __pyx_L5_argtuple_error;
      }
    }
    __pyx_v_self = values[0];
    __pyx_v_dir_name = values[1];
    __pyx_v_file_name = values[2];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("save_pre_learned_params", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1386, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.save_pre_learned_params", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_34save_pre_learned_params(__pyx_self, __pyx_v_self, __pyx_v_dir_name, __pyx_v_file_name);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_34save_pre_learned_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_dir_name, PyObject *__pyx_v_file_name) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_t_2;
  int __pyx_t_3;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  __Pyx_RefNannySetupContext("save_pre_learned_params", 0);
  __Pyx_INCREF(__pyx_v_dir_name);
  __Pyx_INCREF(__pyx_v_file_name);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1394
 *             file_name:  File name.
 *         '''
 *         if dir_name[-1] != "/":             # <<<<<<<<<<<<<<
 *             dir_name = dir_name + "/"
 *         if file_name is None:
 */
  __pyx_t_1 = __Pyx_GetItemInt(__pyx_v_dir_name, -1L, long, 1, __Pyx_PyInt_From_long, 0, 1, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1394, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = (__Pyx_PyString_Equals(__pyx_t_1, __pyx_kp_s__125, Py_NE)); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(0, 1394, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (__pyx_t_2) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1395
 *         '''
 *         if dir_name[-1] != "/":
 *             dir_name = dir_name + "/"             # <<<<<<<<<<<<<<
 *         if file_name is None:
 *             file_name = "conv_lstm_graph"
 */
    __pyx_t_1 = PyNumber_Add(__pyx_v_dir_name, __pyx_kp_s__125); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1395, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF_SET(__pyx_v_dir_name, __pyx_t_1);
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1394
 *             file_name:  File name.
 *         '''
 *         if dir_name[-1] != "/":             # <<<<<<<<<<<<<<
 *             dir_name = dir_name + "/"
 *         if file_name is None:
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1396
 *         if dir_name[-1] != "/":
 *             dir_name = dir_name + "/"
 *         if file_name is None:             # <<<<<<<<<<<<<<
 *             file_name = "conv_lstm_graph"
 *         elif ".npz" in file_name:
 */
  __pyx_t_2 = (__pyx_v_file_name == Py_None);
  __pyx_t_3 = (__pyx_t_2 != 0);
  if (__pyx_t_3) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1397
 *             dir_name = dir_name + "/"
 *         if file_name is None:
 *             file_name = "conv_lstm_graph"             # <<<<<<<<<<<<<<
 *         elif ".npz" in file_name:
 *             file_name = file_name.replace(".npz", "")
 */
    __Pyx_INCREF(__pyx_n_s_conv_lstm_graph);
    __Pyx_DECREF_SET(__pyx_v_file_name, __pyx_n_s_conv_lstm_graph);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1396
 *         if dir_name[-1] != "/":
 *             dir_name = dir_name + "/"
 *         if file_name is None:             # <<<<<<<<<<<<<<
 *             file_name = "conv_lstm_graph"
 *         elif ".npz" in file_name:
 */
    goto __pyx_L4;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1398
 *         if file_name is None:
 *             file_name = "conv_lstm_graph"
 *         elif ".npz" in file_name:             # <<<<<<<<<<<<<<
 *             file_name = file_name.replace(".npz", "")
 * 
 */
  __pyx_t_3 = (__Pyx_PySequence_ContainsTF(__pyx_kp_s_npz, __pyx_v_file_name, Py_EQ)); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 1398, __pyx_L1_error)
  __pyx_t_2 = (__pyx_t_3 != 0);
  if (__pyx_t_2) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1399
 *             file_name = "conv_lstm_graph"
 *         elif ".npz" in file_name:
 *             file_name = file_name.replace(".npz", "")             # <<<<<<<<<<<<<<
 * 
 *         self.graph.save_pre_learned_params(dir_name + file_name + ".npz")
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_file_name, __pyx_n_s_replace); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1399, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_tuple__127, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1399, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF_SET(__pyx_v_file_name, __pyx_t_4);
    __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1398
 *         if file_name is None:
 *             file_name = "conv_lstm_graph"
 *         elif ".npz" in file_name:             # <<<<<<<<<<<<<<
 *             file_name = file_name.replace(".npz", "")
 * 
 */
  }
  __pyx_L4:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1401
 *             file_name = file_name.replace(".npz", "")
 * 
 *         self.graph.save_pre_learned_params(dir_name + file_name + ".npz")             # <<<<<<<<<<<<<<
 *         self.__given_conv.graph.save_pre_learned_params(
 *             dir_name + "given_" + file_name + ".npz"
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1401, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_save_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1401, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = PyNumber_Add(__pyx_v_dir_name, __pyx_v_file_name); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1401, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_6 = PyNumber_Add(__pyx_t_1, __pyx_kp_s_npz); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1401, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_1)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_1);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  if (!__pyx_t_1) {
    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1401, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_GOTREF(__pyx_t_4);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_6};
      __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1401, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_6};
      __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1401, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    } else
    #endif
    {
      __pyx_t_7 = PyTuple_New(1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1401, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1); __pyx_t_1 = NULL;
      __Pyx_GIVEREF(__pyx_t_6);
      PyTuple_SET_ITEM(__pyx_t_7, 0+1, __pyx_t_6);
      __pyx_t_6 = 0;
      __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_7, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1401, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1402
 * 
 *         self.graph.save_pre_learned_params(dir_name + file_name + ".npz")
 *         self.__given_conv.graph.save_pre_learned_params(             # <<<<<<<<<<<<<<
 *             dir_name + "given_" + file_name + ".npz"
 *         )
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1402, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1402, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_save_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1402, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1403
 *         self.graph.save_pre_learned_params(dir_name + file_name + ".npz")
 *         self.__given_conv.graph.save_pre_learned_params(
 *             dir_name + "given_" + file_name + ".npz"             # <<<<<<<<<<<<<<
 *         )
 *         self.__input_conv.graph.save_pre_learned_params(
 */
  __pyx_t_7 = PyNumber_Add(__pyx_v_dir_name, __pyx_n_s_given); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1403, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __pyx_t_6 = PyNumber_Add(__pyx_t_7, __pyx_v_file_name); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1403, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  __pyx_t_7 = PyNumber_Add(__pyx_t_6, __pyx_kp_s_npz); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1403, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  __pyx_t_6 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_6)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_6);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  if (!__pyx_t_6) {
    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_7); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1402, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_GOTREF(__pyx_t_4);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_7};
      __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1402, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_7};
      __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1402, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    } else
    #endif
    {
      __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1402, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_6); __pyx_t_6 = NULL;
      __Pyx_GIVEREF(__pyx_t_7);
      PyTuple_SET_ITEM(__pyx_t_1, 0+1, __pyx_t_7);
      __pyx_t_7 = 0;
      __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_1, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1402, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1405
 *             dir_name + "given_" + file_name + ".npz"
 *         )
 *         self.__input_conv.graph.save_pre_learned_params(             # <<<<<<<<<<<<<<
 *             dir_name + "input_" + file_name + ".npz"
 *         )
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1405, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1405, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_save_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1405, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1406
 *         )
 *         self.__input_conv.graph.save_pre_learned_params(
 *             dir_name + "input_" + file_name + ".npz"             # <<<<<<<<<<<<<<
 *         )
 *         self.__forgot_conv.graph.save_pre_learned_params(
 */
  __pyx_t_1 = PyNumber_Add(__pyx_v_dir_name, __pyx_n_s_input); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1406, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_7 = PyNumber_Add(__pyx_t_1, __pyx_v_file_name); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1406, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = PyNumber_Add(__pyx_t_7, __pyx_kp_s_npz); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1406, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  __pyx_t_7 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_7)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_7);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  if (!__pyx_t_7) {
    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1405, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_GOTREF(__pyx_t_4);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_1};
      __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1405, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_1};
      __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1405, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    {
      __pyx_t_6 = PyTuple_New(1+1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1405, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); __pyx_t_7 = NULL;
      __Pyx_GIVEREF(__pyx_t_1);
      PyTuple_SET_ITEM(__pyx_t_6, 0+1, __pyx_t_1);
      __pyx_t_1 = 0;
      __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_6, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1405, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1408
 *             dir_name + "input_" + file_name + ".npz"
 *         )
 *         self.__forgot_conv.graph.save_pre_learned_params(             # <<<<<<<<<<<<<<
 *             dir_name + "forgot_" + file_name + ".npz"
 *         )
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1408, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1408, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_save_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1408, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1409
 *         )
 *         self.__forgot_conv.graph.save_pre_learned_params(
 *             dir_name + "forgot_" + file_name + ".npz"             # <<<<<<<<<<<<<<
 *         )
 *         self.__output_conv.graph.save_pre_learned_params(
 */
  __pyx_t_6 = PyNumber_Add(__pyx_v_dir_name, __pyx_n_s_forgot); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1409, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __pyx_t_1 = PyNumber_Add(__pyx_t_6, __pyx_v_file_name); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1409, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  __pyx_t_6 = PyNumber_Add(__pyx_t_1, __pyx_kp_s_npz); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1409, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_1)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_1);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  if (!__pyx_t_1) {
    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1408, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_GOTREF(__pyx_t_4);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_6};
      __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1408, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_6};
      __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1408, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    } else
    #endif
    {
      __pyx_t_7 = PyTuple_New(1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1408, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1); __pyx_t_1 = NULL;
      __Pyx_GIVEREF(__pyx_t_6);
      PyTuple_SET_ITEM(__pyx_t_7, 0+1, __pyx_t_6);
      __pyx_t_6 = 0;
      __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_7, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1408, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1411
 *             dir_name + "forgot_" + file_name + ".npz"
 *         )
 *         self.__output_conv.graph.save_pre_learned_params(             # <<<<<<<<<<<<<<
 *             dir_name + "output_" + file_name + ".npz"
 *         )
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1411, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1411, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_save_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1411, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1412
 *         )
 *         self.__output_conv.graph.save_pre_learned_params(
 *             dir_name + "output_" + file_name + ".npz"             # <<<<<<<<<<<<<<
 *         )
 * 
 */
  __pyx_t_7 = PyNumber_Add(__pyx_v_dir_name, __pyx_n_s_output); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1412, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __pyx_t_6 = PyNumber_Add(__pyx_t_7, __pyx_v_file_name); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1412, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  __pyx_t_7 = PyNumber_Add(__pyx_t_6, __pyx_kp_s_npz); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1412, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  __pyx_t_6 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_6)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_6);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  if (!__pyx_t_6) {
    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_7); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1411, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_GOTREF(__pyx_t_4);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_7};
      __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1411, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_7};
      __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1411, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    } else
    #endif
    {
      __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1411, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_6); __pyx_t_6 = NULL;
      __Pyx_GIVEREF(__pyx_t_7);
      PyTuple_SET_ITEM(__pyx_t_1, 0+1, __pyx_t_7);
      __pyx_t_7 = 0;
      __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_1, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1411, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1386
 *         return (delta_pre_hidden_arr, delta_pre_rnn_arr)
 * 
 *     def save_pre_learned_params(self, dir_name, file_name=None):             # <<<<<<<<<<<<<<
 *         '''
 *         Save pre-learned parameters.
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.save_pre_learned_params", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_dir_name);
  __Pyx_XDECREF(__pyx_v_file_name);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1415
 *         )
 * 
 *     def load_pre_learned_params(self, dir_name, file_name=None):             # <<<<<<<<<<<<<<
 *         '''
 *         Load pre-learned parameters.
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_37load_pre_learned_params(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_36load_pre_learned_params[] = "\n        Load pre-learned parameters.\n        \n        Args:\n            dir_name:   Path of dir. If `None`, the file is saved in the current directory.\n            file_name:  File name.\n        ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_37load_pre_learned_params = {"load_pre_learned_params", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_37load_pre_learned_params, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_36load_pre_learned_params};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_37load_pre_learned_params(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_dir_name = 0;
  PyObject *__pyx_v_file_name = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("load_pre_learned_params (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_dir_name,&__pyx_n_s_file_name,0};
    PyObject* values[3] = {0,0,0};
    values[2] = ((PyObject *)((PyObject *)Py_None));
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_dir_name)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("load_pre_learned_params", 0, 2, 3, 1); __PYX_ERR(0, 1415, __pyx_L3_error)
        }
        CYTHON_FALLTHROUGH;
        case  2:
        if (kw_args > 0) {
          PyObject* value = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_file_name);
          if (value) { values[2] = value; kw_args--; }
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "load_pre_learned_params") < 0)) __PYX_ERR(0, 1415, __pyx_L3_error)
      }
    } else {
      switch (PyTuple_GET_SIZE(__pyx_args)) {
        case  3: values[2] = PyTuple_GET_ITEM(__pyx_args, 2);
        CYTHON_FALLTHROUGH;
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        break;
        default: goto __pyx_L5_argtuple_error;
      }
    }
    __pyx_v_self = values[0];
    __pyx_v_dir_name = values[1];
    __pyx_v_file_name = values[2];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("load_pre_learned_params", 0, 2, 3, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1415, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.load_pre_learned_params", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_36load_pre_learned_params(__pyx_self, __pyx_v_self, __pyx_v_dir_name, __pyx_v_file_name);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_36load_pre_learned_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_dir_name, PyObject *__pyx_v_file_name) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_t_2;
  int __pyx_t_3;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  __Pyx_RefNannySetupContext("load_pre_learned_params", 0);
  __Pyx_INCREF(__pyx_v_dir_name);
  __Pyx_INCREF(__pyx_v_file_name);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1423
 *             file_name:  File name.
 *         '''
 *         if dir_name[-1] != "/":             # <<<<<<<<<<<<<<
 *             dir_name = dir_name + "/"
 *         if file_name is None:
 */
  __pyx_t_1 = __Pyx_GetItemInt(__pyx_v_dir_name, -1L, long, 1, __Pyx_PyInt_From_long, 0, 1, 1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1423, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = (__Pyx_PyString_Equals(__pyx_t_1, __pyx_kp_s__125, Py_NE)); if (unlikely(__pyx_t_2 < 0)) __PYX_ERR(0, 1423, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  if (__pyx_t_2) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1424
 *         '''
 *         if dir_name[-1] != "/":
 *             dir_name = dir_name + "/"             # <<<<<<<<<<<<<<
 *         if file_name is None:
 *             file_name = "conv_lstm_graph"
 */
    __pyx_t_1 = PyNumber_Add(__pyx_v_dir_name, __pyx_kp_s__125); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1424, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_DECREF_SET(__pyx_v_dir_name, __pyx_t_1);
    __pyx_t_1 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1423
 *             file_name:  File name.
 *         '''
 *         if dir_name[-1] != "/":             # <<<<<<<<<<<<<<
 *             dir_name = dir_name + "/"
 *         if file_name is None:
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1425
 *         if dir_name[-1] != "/":
 *             dir_name = dir_name + "/"
 *         if file_name is None:             # <<<<<<<<<<<<<<
 *             file_name = "conv_lstm_graph"
 *         elif ".npz" in file_name:
 */
  __pyx_t_2 = (__pyx_v_file_name == Py_None);
  __pyx_t_3 = (__pyx_t_2 != 0);
  if (__pyx_t_3) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1426
 *             dir_name = dir_name + "/"
 *         if file_name is None:
 *             file_name = "conv_lstm_graph"             # <<<<<<<<<<<<<<
 *         elif ".npz" in file_name:
 *             file_name = file_name.replace(".npz", "")
 */
    __Pyx_INCREF(__pyx_n_s_conv_lstm_graph);
    __Pyx_DECREF_SET(__pyx_v_file_name, __pyx_n_s_conv_lstm_graph);

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1425
 *         if dir_name[-1] != "/":
 *             dir_name = dir_name + "/"
 *         if file_name is None:             # <<<<<<<<<<<<<<
 *             file_name = "conv_lstm_graph"
 *         elif ".npz" in file_name:
 */
    goto __pyx_L4;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1427
 *         if file_name is None:
 *             file_name = "conv_lstm_graph"
 *         elif ".npz" in file_name:             # <<<<<<<<<<<<<<
 *             file_name = file_name.replace(".npz", "")
 * 
 */
  __pyx_t_3 = (__Pyx_PySequence_ContainsTF(__pyx_kp_s_npz, __pyx_v_file_name, Py_EQ)); if (unlikely(__pyx_t_3 < 0)) __PYX_ERR(0, 1427, __pyx_L1_error)
  __pyx_t_2 = (__pyx_t_3 != 0);
  if (__pyx_t_2) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1428
 *             file_name = "conv_lstm_graph"
 *         elif ".npz" in file_name:
 *             file_name = file_name.replace(".npz", "")             # <<<<<<<<<<<<<<
 * 
 *         self.graph.load_pre_learned_params(dir_name + file_name + ".npz")
 */
    __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_file_name, __pyx_n_s_replace); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1428, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_1, __pyx_tuple__128, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1428, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_DECREF_SET(__pyx_v_file_name, __pyx_t_4);
    __pyx_t_4 = 0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1427
 *         if file_name is None:
 *             file_name = "conv_lstm_graph"
 *         elif ".npz" in file_name:             # <<<<<<<<<<<<<<
 *             file_name = file_name.replace(".npz", "")
 * 
 */
  }
  __pyx_L4:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1430
 *             file_name = file_name.replace(".npz", "")
 * 
 *         self.graph.load_pre_learned_params(dir_name + file_name + ".npz")             # <<<<<<<<<<<<<<
 *         self.__given_conv.graph.load_pre_learned_params(
 *             dir_name + "given_" + file_name + ".npz"
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_graph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1430, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_load_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1430, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = PyNumber_Add(__pyx_v_dir_name, __pyx_v_file_name); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1430, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_6 = PyNumber_Add(__pyx_t_1, __pyx_kp_s_npz); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1430, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_1)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_1);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  if (!__pyx_t_1) {
    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1430, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_GOTREF(__pyx_t_4);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_6};
      __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1430, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_6};
      __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1430, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    } else
    #endif
    {
      __pyx_t_7 = PyTuple_New(1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1430, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1); __pyx_t_1 = NULL;
      __Pyx_GIVEREF(__pyx_t_6);
      PyTuple_SET_ITEM(__pyx_t_7, 0+1, __pyx_t_6);
      __pyx_t_6 = 0;
      __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_7, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1430, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1431
 * 
 *         self.graph.load_pre_learned_params(dir_name + file_name + ".npz")
 *         self.__given_conv.graph.load_pre_learned_params(             # <<<<<<<<<<<<<<
 *             dir_name + "given_" + file_name + ".npz"
 *         )
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1431, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1431, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_load_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1431, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1432
 *         self.graph.load_pre_learned_params(dir_name + file_name + ".npz")
 *         self.__given_conv.graph.load_pre_learned_params(
 *             dir_name + "given_" + file_name + ".npz"             # <<<<<<<<<<<<<<
 *         )
 *         self.__input_conv.graph.load_pre_learned_params(
 */
  __pyx_t_7 = PyNumber_Add(__pyx_v_dir_name, __pyx_n_s_given); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1432, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __pyx_t_6 = PyNumber_Add(__pyx_t_7, __pyx_v_file_name); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1432, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  __pyx_t_7 = PyNumber_Add(__pyx_t_6, __pyx_kp_s_npz); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1432, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  __pyx_t_6 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_6)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_6);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  if (!__pyx_t_6) {
    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_7); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1431, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_GOTREF(__pyx_t_4);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_7};
      __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1431, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_7};
      __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1431, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    } else
    #endif
    {
      __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1431, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_6); __pyx_t_6 = NULL;
      __Pyx_GIVEREF(__pyx_t_7);
      PyTuple_SET_ITEM(__pyx_t_1, 0+1, __pyx_t_7);
      __pyx_t_7 = 0;
      __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_1, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1431, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1434
 *             dir_name + "given_" + file_name + ".npz"
 *         )
 *         self.__input_conv.graph.load_pre_learned_params(             # <<<<<<<<<<<<<<
 *             dir_name + "input_" + file_name + ".npz"
 *         )
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1434, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1434, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_1, __pyx_n_s_load_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1434, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1435
 *         )
 *         self.__input_conv.graph.load_pre_learned_params(
 *             dir_name + "input_" + file_name + ".npz"             # <<<<<<<<<<<<<<
 *         )
 *         self.__forgot_conv.graph.load_pre_learned_params(
 */
  __pyx_t_1 = PyNumber_Add(__pyx_v_dir_name, __pyx_n_s_input); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1435, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_7 = PyNumber_Add(__pyx_t_1, __pyx_v_file_name); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1435, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = PyNumber_Add(__pyx_t_7, __pyx_kp_s_npz); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1435, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  __pyx_t_7 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_7 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_7)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_7);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  if (!__pyx_t_7) {
    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1434, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_GOTREF(__pyx_t_4);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_1};
      __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1434, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_7, __pyx_t_1};
      __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1434, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_7); __pyx_t_7 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    } else
    #endif
    {
      __pyx_t_6 = PyTuple_New(1+1); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1434, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_6);
      __Pyx_GIVEREF(__pyx_t_7); PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_7); __pyx_t_7 = NULL;
      __Pyx_GIVEREF(__pyx_t_1);
      PyTuple_SET_ITEM(__pyx_t_6, 0+1, __pyx_t_1);
      __pyx_t_1 = 0;
      __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_6, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1434, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1437
 *             dir_name + "input_" + file_name + ".npz"
 *         )
 *         self.__forgot_conv.graph.load_pre_learned_params(             # <<<<<<<<<<<<<<
 *             dir_name + "forgot_" + file_name + ".npz"
 *         )
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1437, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_6 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1437, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_6, __pyx_n_s_load_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1437, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1438
 *         )
 *         self.__forgot_conv.graph.load_pre_learned_params(
 *             dir_name + "forgot_" + file_name + ".npz"             # <<<<<<<<<<<<<<
 *         )
 *         self.__output_conv.graph.load_pre_learned_params(
 */
  __pyx_t_6 = PyNumber_Add(__pyx_v_dir_name, __pyx_n_s_forgot); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1438, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __pyx_t_1 = PyNumber_Add(__pyx_t_6, __pyx_v_file_name); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1438, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  __pyx_t_6 = PyNumber_Add(__pyx_t_1, __pyx_kp_s_npz); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1438, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_1 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_1)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_1);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  if (!__pyx_t_1) {
    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1437, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    __Pyx_GOTREF(__pyx_t_4);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_6};
      __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1437, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_1, __pyx_t_6};
      __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1437, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
    } else
    #endif
    {
      __pyx_t_7 = PyTuple_New(1+1); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1437, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_7, 0, __pyx_t_1); __pyx_t_1 = NULL;
      __Pyx_GIVEREF(__pyx_t_6);
      PyTuple_SET_ITEM(__pyx_t_7, 0+1, __pyx_t_6);
      __pyx_t_6 = 0;
      __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_7, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1437, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1440
 *             dir_name + "forgot_" + file_name + ".npz"
 *         )
 *         self.__output_conv.graph.load_pre_learned_params(             # <<<<<<<<<<<<<<
 *             dir_name + "output_" + file_name + ".npz"
 *         )
 */
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1440, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_7 = __Pyx_PyObject_GetAttrStr(__pyx_t_5, __pyx_n_s_graph); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1440, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyObject_GetAttrStr(__pyx_t_7, __pyx_n_s_load_pre_learned_params); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 1440, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1441
 *         )
 *         self.__output_conv.graph.load_pre_learned_params(
 *             dir_name + "output_" + file_name + ".npz"             # <<<<<<<<<<<<<<
 *         )
 * 
 */
  __pyx_t_7 = PyNumber_Add(__pyx_v_dir_name, __pyx_n_s_output); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1441, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __pyx_t_6 = PyNumber_Add(__pyx_t_7, __pyx_v_file_name); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 1441, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
  __pyx_t_7 = PyNumber_Add(__pyx_t_6, __pyx_kp_s_npz); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 1441, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  __pyx_t_6 = NULL;
  if (CYTHON_UNPACK_METHODS && likely(PyMethod_Check(__pyx_t_5))) {
    __pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);
    if (likely(__pyx_t_6)) {
      PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);
      __Pyx_INCREF(__pyx_t_6);
      __Pyx_INCREF(function);
      __Pyx_DECREF_SET(__pyx_t_5, function);
    }
  }
  if (!__pyx_t_6) {
    __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_t_5, __pyx_t_7); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1440, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    __Pyx_GOTREF(__pyx_t_4);
  } else {
    #if CYTHON_FAST_PYCALL
    if (PyFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_7};
      __pyx_t_4 = __Pyx_PyFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1440, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    } else
    #endif
    #if CYTHON_FAST_PYCCALL
    if (__Pyx_PyFastCFunction_Check(__pyx_t_5)) {
      PyObject *__pyx_temp[2] = {__pyx_t_6, __pyx_t_7};
      __pyx_t_4 = __Pyx_PyCFunction_FastCall(__pyx_t_5, __pyx_temp+1-1, 1+1); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1440, __pyx_L1_error)
      __Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
    } else
    #endif
    {
      __pyx_t_1 = PyTuple_New(1+1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1440, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_1);
      __Pyx_GIVEREF(__pyx_t_6); PyTuple_SET_ITEM(__pyx_t_1, 0, __pyx_t_6); __pyx_t_6 = NULL;
      __Pyx_GIVEREF(__pyx_t_7);
      PyTuple_SET_ITEM(__pyx_t_1, 0+1, __pyx_t_7);
      __pyx_t_7 = 0;
      __pyx_t_4 = __Pyx_PyObject_Call(__pyx_t_5, __pyx_t_1, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 1440, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    }
  }
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1415
 *         )
 * 
 *     def load_pre_learned_params(self, dir_name, file_name=None):             # <<<<<<<<<<<<<<
 *         '''
 *         Load pre-learned parameters.
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.load_pre_learned_params", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF(__pyx_v_dir_name);
  __Pyx_XDECREF(__pyx_v_file_name);
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1444
 *         )
 * 
 *     def get_verificatable_result(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         if isinstance(self.__verificatable_result, VerificatableResult):
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_39get_verificatable_result(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_38get_verificatable_result[] = " getter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_39get_verificatable_result = {"get_verificatable_result", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_39get_verificatable_result, METH_O, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_38get_verificatable_result};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_39get_verificatable_result(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("get_verificatable_result (wrapper)", 0);
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_38get_verificatable_result(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_38get_verificatable_result(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  int __pyx_t_3;
  int __pyx_t_4;
  __Pyx_RefNannySetupContext("get_verificatable_result", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1446
 *     def get_verificatable_result(self):
 *         ''' getter '''
 *         if isinstance(self.__verificatable_result, VerificatableResult):             # <<<<<<<<<<<<<<
 *             return self.__verificatable_result
 *         else:
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__verificatable_re); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1446, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_VerificatableResult); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1446, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = PyObject_IsInstance(__pyx_t_1, __pyx_t_2); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(0, 1446, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_4 = (__pyx_t_3 != 0);
  if (likely(__pyx_t_4)) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1447
 *         ''' getter '''
 *         if isinstance(self.__verificatable_result, VerificatableResult):
 *             return self.__verificatable_result             # <<<<<<<<<<<<<<
 *         else:
 *             raise TypeError()
 */
    __Pyx_XDECREF(__pyx_r);
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__verificatable_re); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1447, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_r = __pyx_t_2;
    __pyx_t_2 = 0;
    goto __pyx_L0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1446
 *     def get_verificatable_result(self):
 *         ''' getter '''
 *         if isinstance(self.__verificatable_result, VerificatableResult):             # <<<<<<<<<<<<<<
 *             return self.__verificatable_result
 *         else:
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1449
 *             return self.__verificatable_result
 *         else:
 *             raise TypeError()             # <<<<<<<<<<<<<<
 * 
 *     def set_verificatable_result(self, value):
 */
  /*else*/ {
    __pyx_t_2 = __Pyx_PyObject_CallNoArg(__pyx_builtin_TypeError); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1449, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_Raise(__pyx_t_2, 0, 0, 0);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __PYX_ERR(0, 1449, __pyx_L1_error)
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1444
 *         )
 * 
 *     def get_verificatable_result(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         if isinstance(self.__verificatable_result, VerificatableResult):
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.get_verificatable_result", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1451
 *             raise TypeError()
 * 
 *     def set_verificatable_result(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         if isinstance(value, VerificatableResult):
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_41set_verificatable_result(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_40set_verificatable_result[] = " setter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_41set_verificatable_result = {"set_verificatable_result", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_41set_verificatable_result, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_40set_verificatable_result};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_41set_verificatable_result(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_value = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("set_verificatable_result (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_value,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_value)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("set_verificatable_result", 1, 2, 2, 1); __PYX_ERR(0, 1451, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "set_verificatable_result") < 0)) __PYX_ERR(0, 1451, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_value = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("set_verificatable_result", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1451, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_verificatable_result", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_40set_verificatable_result(__pyx_self, __pyx_v_self, __pyx_v_value);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_40set_verificatable_result(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_t_2;
  int __pyx_t_3;
  __Pyx_RefNannySetupContext("set_verificatable_result", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1453
 *     def set_verificatable_result(self, value):
 *         ''' setter '''
 *         if isinstance(value, VerificatableResult):             # <<<<<<<<<<<<<<
 *             self.__verificatable_result = value
 *         else:
 */
  __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_VerificatableResult); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1453, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyObject_IsInstance(__pyx_v_value, __pyx_t_1); if (unlikely(__pyx_t_2 == ((int)-1))) __PYX_ERR(0, 1453, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_3 = (__pyx_t_2 != 0);
  if (likely(__pyx_t_3)) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1454
 *         ''' setter '''
 *         if isinstance(value, VerificatableResult):
 *             self.__verificatable_result = value             # <<<<<<<<<<<<<<
 *         else:
 *             raise TypeError()
 */
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__verificatable_re, __pyx_v_value) < 0) __PYX_ERR(0, 1454, __pyx_L1_error)

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1453
 *     def set_verificatable_result(self, value):
 *         ''' setter '''
 *         if isinstance(value, VerificatableResult):             # <<<<<<<<<<<<<<
 *             self.__verificatable_result = value
 *         else:
 */
    goto __pyx_L3;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1456
 *             self.__verificatable_result = value
 *         else:
 *             raise TypeError()             # <<<<<<<<<<<<<<
 * 
 *     verificatable_result = property(get_verificatable_result, set_verificatable_result)
 */
  /*else*/ {
    __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_builtin_TypeError); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1456, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_Raise(__pyx_t_1, 0, 0, 0);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __PYX_ERR(0, 1456, __pyx_L1_error)
  }
  __pyx_L3:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1451
 *             raise TypeError()
 * 
 *     def set_verificatable_result(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         if isinstance(value, VerificatableResult):
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_verificatable_result", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1460
 *     verificatable_result = property(get_verificatable_result, set_verificatable_result)
 * 
 *     def get_opt_params(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         if isinstance(self.__opt_params, OptParams):
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_43get_opt_params(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_42get_opt_params[] = " getter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_43get_opt_params = {"get_opt_params", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_43get_opt_params, METH_O, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_42get_opt_params};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_43get_opt_params(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("get_opt_params (wrapper)", 0);
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_42get_opt_params(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_42get_opt_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  int __pyx_t_3;
  int __pyx_t_4;
  __Pyx_RefNannySetupContext("get_opt_params", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1462
 *     def get_opt_params(self):
 *         ''' getter '''
 *         if isinstance(self.__opt_params, OptParams):             # <<<<<<<<<<<<<<
 *             return self.__opt_params
 *         else:
 */
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1462, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = __Pyx_GetModuleGlobalName(__pyx_n_s_OptParams); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1462, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __pyx_t_3 = PyObject_IsInstance(__pyx_t_1, __pyx_t_2); if (unlikely(__pyx_t_3 == ((int)-1))) __PYX_ERR(0, 1462, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_4 = (__pyx_t_3 != 0);
  if (likely(__pyx_t_4)) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1463
 *         ''' getter '''
 *         if isinstance(self.__opt_params, OptParams):
 *             return self.__opt_params             # <<<<<<<<<<<<<<
 *         else:
 *             raise TypeError()
 */
    __Pyx_XDECREF(__pyx_r);
    __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1463, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __pyx_r = __pyx_t_2;
    __pyx_t_2 = 0;
    goto __pyx_L0;

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1462
 *     def get_opt_params(self):
 *         ''' getter '''
 *         if isinstance(self.__opt_params, OptParams):             # <<<<<<<<<<<<<<
 *             return self.__opt_params
 *         else:
 */
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1465
 *             return self.__opt_params
 *         else:
 *             raise TypeError()             # <<<<<<<<<<<<<<
 * 
 *     def set_opt_params(self, value):
 */
  /*else*/ {
    __pyx_t_2 = __Pyx_PyObject_CallNoArg(__pyx_builtin_TypeError); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1465, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_2);
    __Pyx_Raise(__pyx_t_2, 0, 0, 0);
    __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
    __PYX_ERR(0, 1465, __pyx_L1_error)
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1460
 *     verificatable_result = property(get_verificatable_result, set_verificatable_result)
 * 
 *     def get_opt_params(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         if isinstance(self.__opt_params, OptParams):
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.get_opt_params", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1467
 *             raise TypeError()
 * 
 *     def set_opt_params(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         if isinstance(value, OptParams):
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_45set_opt_params(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_44set_opt_params[] = " setter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_45set_opt_params = {"set_opt_params", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_45set_opt_params, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_44set_opt_params};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_45set_opt_params(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_value = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("set_opt_params (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_value,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_value)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("set_opt_params", 1, 2, 2, 1); __PYX_ERR(0, 1467, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "set_opt_params") < 0)) __PYX_ERR(0, 1467, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_value = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("set_opt_params", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1467, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_opt_params", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_44set_opt_params(__pyx_self, __pyx_v_self, __pyx_v_value);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_44set_opt_params(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  int __pyx_t_2;
  int __pyx_t_3;
  __Pyx_RefNannySetupContext("set_opt_params", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1469
 *     def set_opt_params(self, value):
 *         ''' setter '''
 *         if isinstance(value, OptParams):             # <<<<<<<<<<<<<<
 *             self.__opt_params = value
 *         else:
 */
  __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_OptParams); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1469, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyObject_IsInstance(__pyx_v_value, __pyx_t_1); if (unlikely(__pyx_t_2 == ((int)-1))) __PYX_ERR(0, 1469, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_3 = (__pyx_t_2 != 0);
  if (likely(__pyx_t_3)) {

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1470
 *         ''' setter '''
 *         if isinstance(value, OptParams):
 *             self.__opt_params = value             # <<<<<<<<<<<<<<
 *         else:
 *             raise TypeError()
 */
    if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__opt_params, __pyx_v_value) < 0) __PYX_ERR(0, 1470, __pyx_L1_error)

    /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1469
 *     def set_opt_params(self, value):
 *         ''' setter '''
 *         if isinstance(value, OptParams):             # <<<<<<<<<<<<<<
 *             self.__opt_params = value
 *         else:
 */
    goto __pyx_L3;
  }

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1472
 *             self.__opt_params = value
 *         else:
 *             raise TypeError()             # <<<<<<<<<<<<<<
 * 
 *     opt_params = property(get_opt_params, set_opt_params)
 */
  /*else*/ {
    __pyx_t_1 = __Pyx_PyObject_CallNoArg(__pyx_builtin_TypeError); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1472, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_1);
    __Pyx_Raise(__pyx_t_1, 0, 0, 0);
    __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
    __PYX_ERR(0, 1472, __pyx_L1_error)
  }
  __pyx_L3:;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1467
 *             raise TypeError()
 * 
 *     def set_opt_params(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         if isinstance(value, OptParams):
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_opt_params", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1476
 *     opt_params = property(get_opt_params, set_opt_params)
 * 
 *     def get_given_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__given_conv
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_47get_given_conv(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_46get_given_conv[] = " getter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_47get_given_conv = {"get_given_conv", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_47get_given_conv, METH_O, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_46get_given_conv};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_47get_given_conv(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("get_given_conv (wrapper)", 0);
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_46get_given_conv(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_46get_given_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("get_given_conv", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1478
 *     def get_given_conv(self):
 *         ''' getter '''
 *         return self.__given_conv             # <<<<<<<<<<<<<<
 * 
 *     def set_given_conv(self, value):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1478, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1476
 *     opt_params = property(get_opt_params, set_opt_params)
 * 
 *     def get_given_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__given_conv
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.get_given_conv", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1480
 *         return self.__given_conv
 * 
 *     def set_given_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__given_conv = value
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_49set_given_conv(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_48set_given_conv[] = " setter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_49set_given_conv = {"set_given_conv", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_49set_given_conv, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_48set_given_conv};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_49set_given_conv(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_value = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("set_given_conv (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_value,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_value)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("set_given_conv", 1, 2, 2, 1); __PYX_ERR(0, 1480, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "set_given_conv") < 0)) __PYX_ERR(0, 1480, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_value = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("set_given_conv", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1480, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_given_conv", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_48set_given_conv(__pyx_self, __pyx_v_self, __pyx_v_value);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_48set_given_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("set_given_conv", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1482
 *     def set_given_conv(self, value):
 *         ''' setter '''
 *         self.__given_conv = value             # <<<<<<<<<<<<<<
 * 
 *     given_conv = property(get_given_conv, set_given_conv)
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__given_conv, __pyx_v_value) < 0) __PYX_ERR(0, 1482, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1480
 *         return self.__given_conv
 * 
 *     def set_given_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__given_conv = value
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_given_conv", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1486
 *     given_conv = property(get_given_conv, set_given_conv)
 * 
 *     def get_input_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__input_conv
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_51get_input_conv(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_50get_input_conv[] = " getter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_51get_input_conv = {"get_input_conv", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_51get_input_conv, METH_O, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_50get_input_conv};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_51get_input_conv(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("get_input_conv (wrapper)", 0);
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_50get_input_conv(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_50get_input_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("get_input_conv", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1488
 *     def get_input_conv(self):
 *         ''' getter '''
 *         return self.__input_conv             # <<<<<<<<<<<<<<
 * 
 *     def set_input_conv(self, value):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1488, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1486
 *     given_conv = property(get_given_conv, set_given_conv)
 * 
 *     def get_input_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__input_conv
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.get_input_conv", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1490
 *         return self.__input_conv
 * 
 *     def set_input_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__input_conv = value
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_53set_input_conv(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_52set_input_conv[] = " setter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_53set_input_conv = {"set_input_conv", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_53set_input_conv, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_52set_input_conv};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_53set_input_conv(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_value = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("set_input_conv (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_value,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_value)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("set_input_conv", 1, 2, 2, 1); __PYX_ERR(0, 1490, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "set_input_conv") < 0)) __PYX_ERR(0, 1490, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_value = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("set_input_conv", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1490, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_input_conv", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_52set_input_conv(__pyx_self, __pyx_v_self, __pyx_v_value);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_52set_input_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("set_input_conv", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1492
 *     def set_input_conv(self, value):
 *         ''' setter '''
 *         self.__input_conv = value             # <<<<<<<<<<<<<<
 * 
 *     input_conv = property(get_input_conv, set_input_conv)
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__input_conv, __pyx_v_value) < 0) __PYX_ERR(0, 1492, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1490
 *         return self.__input_conv
 * 
 *     def set_input_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__input_conv = value
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_input_conv", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1496
 *     input_conv = property(get_input_conv, set_input_conv)
 * 
 *     def get_forgot_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__forgot_conv
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_55get_forgot_conv(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_54get_forgot_conv[] = " getter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_55get_forgot_conv = {"get_forgot_conv", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_55get_forgot_conv, METH_O, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_54get_forgot_conv};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_55get_forgot_conv(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("get_forgot_conv (wrapper)", 0);
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_54get_forgot_conv(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_54get_forgot_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("get_forgot_conv", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1498
 *     def get_forgot_conv(self):
 *         ''' getter '''
 *         return self.__forgot_conv             # <<<<<<<<<<<<<<
 * 
 *     def set_forgot_conv(self, value):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1498, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1496
 *     input_conv = property(get_input_conv, set_input_conv)
 * 
 *     def get_forgot_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__forgot_conv
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.get_forgot_conv", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1500
 *         return self.__forgot_conv
 * 
 *     def set_forgot_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__forgot_conv = value
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_57set_forgot_conv(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_56set_forgot_conv[] = " setter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_57set_forgot_conv = {"set_forgot_conv", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_57set_forgot_conv, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_56set_forgot_conv};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_57set_forgot_conv(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_value = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("set_forgot_conv (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_value,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_value)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("set_forgot_conv", 1, 2, 2, 1); __PYX_ERR(0, 1500, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "set_forgot_conv") < 0)) __PYX_ERR(0, 1500, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_value = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("set_forgot_conv", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1500, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_forgot_conv", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_56set_forgot_conv(__pyx_self, __pyx_v_self, __pyx_v_value);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_56set_forgot_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("set_forgot_conv", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1502
 *     def set_forgot_conv(self, value):
 *         ''' setter '''
 *         self.__forgot_conv = value             # <<<<<<<<<<<<<<
 * 
 *     forgot_conv = property(get_forgot_conv, set_forgot_conv)
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__forgot_conv, __pyx_v_value) < 0) __PYX_ERR(0, 1502, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1500
 *         return self.__forgot_conv
 * 
 *     def set_forgot_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__forgot_conv = value
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_forgot_conv", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1506
 *     forgot_conv = property(get_forgot_conv, set_forgot_conv)
 * 
 *     def get_output_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__output_conv
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_59get_output_conv(PyObject *__pyx_self, PyObject *__pyx_v_self); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_58get_output_conv[] = " getter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_59get_output_conv = {"get_output_conv", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_59get_output_conv, METH_O, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_58get_output_conv};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_59get_output_conv(PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("get_output_conv (wrapper)", 0);
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_58get_output_conv(__pyx_self, ((PyObject *)__pyx_v_self));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_58get_output_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("get_output_conv", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1508
 *     def get_output_conv(self):
 *         ''' getter '''
 *         return self.__output_conv             # <<<<<<<<<<<<<<
 * 
 *     def set_output_conv(self, value):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 1508, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1506
 *     forgot_conv = property(get_forgot_conv, set_forgot_conv)
 * 
 *     def get_output_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__output_conv
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.get_output_conv", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1510
 *         return self.__output_conv
 * 
 *     def set_output_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__output_conv = value
 */

/* Python wrapper */
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_61set_output_conv(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds); /*proto*/
static char __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_60set_output_conv[] = " setter ";
static PyMethodDef __pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_61set_output_conv = {"set_output_conv", (PyCFunction)__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_61set_output_conv, METH_VARARGS|METH_KEYWORDS, __pyx_doc_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_60set_output_conv};
static PyObject *__pyx_pw_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_61set_output_conv(PyObject *__pyx_self, PyObject *__pyx_args, PyObject *__pyx_kwds) {
  PyObject *__pyx_v_self = 0;
  PyObject *__pyx_v_value = 0;
  PyObject *__pyx_r = 0;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("set_output_conv (wrapper)", 0);
  {
    static PyObject **__pyx_pyargnames[] = {&__pyx_n_s_self,&__pyx_n_s_value,0};
    PyObject* values[2] = {0,0};
    if (unlikely(__pyx_kwds)) {
      Py_ssize_t kw_args;
      const Py_ssize_t pos_args = PyTuple_GET_SIZE(__pyx_args);
      switch (pos_args) {
        case  2: values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
        CYTHON_FALLTHROUGH;
        case  1: values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
        CYTHON_FALLTHROUGH;
        case  0: break;
        default: goto __pyx_L5_argtuple_error;
      }
      kw_args = PyDict_Size(__pyx_kwds);
      switch (pos_args) {
        case  0:
        if (likely((values[0] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_self)) != 0)) kw_args--;
        else goto __pyx_L5_argtuple_error;
        CYTHON_FALLTHROUGH;
        case  1:
        if (likely((values[1] = __Pyx_PyDict_GetItemStr(__pyx_kwds, __pyx_n_s_value)) != 0)) kw_args--;
        else {
          __Pyx_RaiseArgtupleInvalid("set_output_conv", 1, 2, 2, 1); __PYX_ERR(0, 1510, __pyx_L3_error)
        }
      }
      if (unlikely(kw_args > 0)) {
        if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_pyargnames, 0, values, pos_args, "set_output_conv") < 0)) __PYX_ERR(0, 1510, __pyx_L3_error)
      }
    } else if (PyTuple_GET_SIZE(__pyx_args) != 2) {
      goto __pyx_L5_argtuple_error;
    } else {
      values[0] = PyTuple_GET_ITEM(__pyx_args, 0);
      values[1] = PyTuple_GET_ITEM(__pyx_args, 1);
    }
    __pyx_v_self = values[0];
    __pyx_v_value = values[1];
  }
  goto __pyx_L4_argument_unpacking_done;
  __pyx_L5_argtuple_error:;
  __Pyx_RaiseArgtupleInvalid("set_output_conv", 1, 2, 2, PyTuple_GET_SIZE(__pyx_args)); __PYX_ERR(0, 1510, __pyx_L3_error)
  __pyx_L3_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_output_conv", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __Pyx_RefNannyFinishContext();
  return NULL;
  __pyx_L4_argument_unpacking_done:;
  __pyx_r = __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_60set_output_conv(__pyx_self, __pyx_v_self, __pyx_v_value);

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyObject *__pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_60set_output_conv(CYTHON_UNUSED PyObject *__pyx_self, PyObject *__pyx_v_self, PyObject *__pyx_v_value) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("set_output_conv", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1512
 *     def set_output_conv(self, value):
 *         ''' setter '''
 *         self.__output_conv = value             # <<<<<<<<<<<<<<
 * 
 *     output_conv = property(get_output_conv, set_output_conv)
 */
  if (__Pyx_PyObject_SetAttrStr(__pyx_v_self, __pyx_n_s_ConvLSTMModel__output_conv, __pyx_v_value) < 0) __PYX_ERR(0, 1512, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1510
 *         return self.__output_conv
 * 
 *     def set_output_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__output_conv = value
 */

  /* function exit code */
  __pyx_r = Py_None; __Pyx_INCREF(Py_None);
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_AddTraceback("pydbm.rnn.lstmmodel.conv_lstm_model.ConvLSTMModel.set_output_conv", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":215
 *         # experimental exception made for __getbuffer__ and __releasebuffer__
 *         # -- the details of this may change.
 *         def __getbuffer__(ndarray self, Py_buffer* info, int flags):             # <<<<<<<<<<<<<<
 *             # This implementation of getbuffer is geared towards Cython
 *             # requirements, and does not yet fulfill the PEP.
 */

/* Python wrapper */
static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags); /*proto*/
static CYTHON_UNUSED int __pyx_pw_5numpy_7ndarray_1__getbuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) {
  int __pyx_r;
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__getbuffer__ (wrapper)", 0);
  __pyx_r = __pyx_pf_5numpy_7ndarray___getbuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info), ((int)__pyx_v_flags));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static int __pyx_pf_5numpy_7ndarray___getbuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info, int __pyx_v_flags) {
  int __pyx_v_i;
  int __pyx_v_ndim;
  int __pyx_v_endian_detector;
  int __pyx_v_little_endian;
  int __pyx_v_t;
  char *__pyx_v_f;
  PyArray_Descr *__pyx_v_descr = 0;
  int __pyx_v_offset;
  int __pyx_r;
  __Pyx_RefNannyDeclarations
  int __pyx_t_1;
  int __pyx_t_2;
  PyObject *__pyx_t_3 = NULL;
  int __pyx_t_4;
  int __pyx_t_5;
  int __pyx_t_6;
  PyObject *__pyx_t_7 = NULL;
  char *__pyx_t_8;
  if (__pyx_v_info == NULL) {
    PyErr_SetString(PyExc_BufferError, "PyObject_GetBuffer: view==NULL argument is obsolete");
    return -1;
  }
  __Pyx_RefNannySetupContext("__getbuffer__", 0);
  __pyx_v_info->obj = Py_None; __Pyx_INCREF(Py_None);
  __Pyx_GIVEREF(__pyx_v_info->obj);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":222
 * 
 *             cdef int i, ndim
 *             cdef int endian_detector = 1             # <<<<<<<<<<<<<<
 *             cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
 * 
 */
  __pyx_v_endian_detector = 1;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":223
 *             cdef int i, ndim
 *             cdef int endian_detector = 1
 *             cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)             # <<<<<<<<<<<<<<
 * 
 *             ndim = PyArray_NDIM(self)
 */
  __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":225
 *             cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
 * 
 *             ndim = PyArray_NDIM(self)             # <<<<<<<<<<<<<<
 * 
 *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
 */
  __pyx_v_ndim = PyArray_NDIM(__pyx_v_self);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":227
 *             ndim = PyArray_NDIM(self)
 * 
 *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)             # <<<<<<<<<<<<<<
 *                 and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
 *                 raise ValueError(u"ndarray is not C contiguous")
 */
  __pyx_t_2 = (((__pyx_v_flags & PyBUF_C_CONTIGUOUS) == PyBUF_C_CONTIGUOUS) != 0);
  if (__pyx_t_2) {
  } else {
    __pyx_t_1 = __pyx_t_2;
    goto __pyx_L4_bool_binop_done;
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":228
 * 
 *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
 *                 and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):             # <<<<<<<<<<<<<<
 *                 raise ValueError(u"ndarray is not C contiguous")
 * 
 */
  __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_C_CONTIGUOUS) != 0)) != 0);
  __pyx_t_1 = __pyx_t_2;
  __pyx_L4_bool_binop_done:;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":227
 *             ndim = PyArray_NDIM(self)
 * 
 *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)             # <<<<<<<<<<<<<<
 *                 and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
 *                 raise ValueError(u"ndarray is not C contiguous")
 */
  if (unlikely(__pyx_t_1)) {

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":229
 *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
 *                 and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
 *                 raise ValueError(u"ndarray is not C contiguous")             # <<<<<<<<<<<<<<
 * 
 *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
 */
    __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__129, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 229, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_Raise(__pyx_t_3, 0, 0, 0);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __PYX_ERR(1, 229, __pyx_L1_error)

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":227
 *             ndim = PyArray_NDIM(self)
 * 
 *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)             # <<<<<<<<<<<<<<
 *                 and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
 *                 raise ValueError(u"ndarray is not C contiguous")
 */
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":231
 *                 raise ValueError(u"ndarray is not C contiguous")
 * 
 *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)             # <<<<<<<<<<<<<<
 *                 and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
 *                 raise ValueError(u"ndarray is not Fortran contiguous")
 */
  __pyx_t_2 = (((__pyx_v_flags & PyBUF_F_CONTIGUOUS) == PyBUF_F_CONTIGUOUS) != 0);
  if (__pyx_t_2) {
  } else {
    __pyx_t_1 = __pyx_t_2;
    goto __pyx_L7_bool_binop_done;
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":232
 * 
 *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
 *                 and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):             # <<<<<<<<<<<<<<
 *                 raise ValueError(u"ndarray is not Fortran contiguous")
 * 
 */
  __pyx_t_2 = ((!(PyArray_CHKFLAGS(__pyx_v_self, NPY_F_CONTIGUOUS) != 0)) != 0);
  __pyx_t_1 = __pyx_t_2;
  __pyx_L7_bool_binop_done:;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":231
 *                 raise ValueError(u"ndarray is not C contiguous")
 * 
 *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)             # <<<<<<<<<<<<<<
 *                 and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
 *                 raise ValueError(u"ndarray is not Fortran contiguous")
 */
  if (unlikely(__pyx_t_1)) {

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":233
 *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
 *                 and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
 *                 raise ValueError(u"ndarray is not Fortran contiguous")             # <<<<<<<<<<<<<<
 * 
 *             info.buf = PyArray_DATA(self)
 */
    __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__130, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 233, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_Raise(__pyx_t_3, 0, 0, 0);
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __PYX_ERR(1, 233, __pyx_L1_error)

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":231
 *                 raise ValueError(u"ndarray is not C contiguous")
 * 
 *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)             # <<<<<<<<<<<<<<
 *                 and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
 *                 raise ValueError(u"ndarray is not Fortran contiguous")
 */
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":235
 *                 raise ValueError(u"ndarray is not Fortran contiguous")
 * 
 *             info.buf = PyArray_DATA(self)             # <<<<<<<<<<<<<<
 *             info.ndim = ndim
 *             if sizeof(npy_intp) != sizeof(Py_ssize_t):
 */
  __pyx_v_info->buf = PyArray_DATA(__pyx_v_self);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":236
 * 
 *             info.buf = PyArray_DATA(self)
 *             info.ndim = ndim             # <<<<<<<<<<<<<<
 *             if sizeof(npy_intp) != sizeof(Py_ssize_t):
 *                 # Allocate new buffer for strides and shape info.
 */
  __pyx_v_info->ndim = __pyx_v_ndim;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":237
 *             info.buf = PyArray_DATA(self)
 *             info.ndim = ndim
 *             if sizeof(npy_intp) != sizeof(Py_ssize_t):             # <<<<<<<<<<<<<<
 *                 # Allocate new buffer for strides and shape info.
 *                 # This is allocated as one block, strides first.
 */
  __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0);
  if (__pyx_t_1) {

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":240
 *                 # Allocate new buffer for strides and shape info.
 *                 # This is allocated as one block, strides first.
 *                 info.strides = <Py_ssize_t*>PyObject_Malloc(sizeof(Py_ssize_t) * 2 * <size_t>ndim)             # <<<<<<<<<<<<<<
 *                 info.shape = info.strides + ndim
 *                 for i in range(ndim):
 */
    __pyx_v_info->strides = ((Py_ssize_t *)PyObject_Malloc((((sizeof(Py_ssize_t)) * 2) * ((size_t)__pyx_v_ndim))));

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":241
 *                 # This is allocated as one block, strides first.
 *                 info.strides = <Py_ssize_t*>PyObject_Malloc(sizeof(Py_ssize_t) * 2 * <size_t>ndim)
 *                 info.shape = info.strides + ndim             # <<<<<<<<<<<<<<
 *                 for i in range(ndim):
 *                     info.strides[i] = PyArray_STRIDES(self)[i]
 */
    __pyx_v_info->shape = (__pyx_v_info->strides + __pyx_v_ndim);

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":242
 *                 info.strides = <Py_ssize_t*>PyObject_Malloc(sizeof(Py_ssize_t) * 2 * <size_t>ndim)
 *                 info.shape = info.strides + ndim
 *                 for i in range(ndim):             # <<<<<<<<<<<<<<
 *                     info.strides[i] = PyArray_STRIDES(self)[i]
 *                     info.shape[i] = PyArray_DIMS(self)[i]
 */
    __pyx_t_4 = __pyx_v_ndim;
    __pyx_t_5 = __pyx_t_4;
    for (__pyx_t_6 = 0; __pyx_t_6 < __pyx_t_5; __pyx_t_6+=1) {
      __pyx_v_i = __pyx_t_6;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":243
 *                 info.shape = info.strides + ndim
 *                 for i in range(ndim):
 *                     info.strides[i] = PyArray_STRIDES(self)[i]             # <<<<<<<<<<<<<<
 *                     info.shape[i] = PyArray_DIMS(self)[i]
 *             else:
 */
      (__pyx_v_info->strides[__pyx_v_i]) = (PyArray_STRIDES(__pyx_v_self)[__pyx_v_i]);

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":244
 *                 for i in range(ndim):
 *                     info.strides[i] = PyArray_STRIDES(self)[i]
 *                     info.shape[i] = PyArray_DIMS(self)[i]             # <<<<<<<<<<<<<<
 *             else:
 *                 info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
 */
      (__pyx_v_info->shape[__pyx_v_i]) = (PyArray_DIMS(__pyx_v_self)[__pyx_v_i]);
    }

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":237
 *             info.buf = PyArray_DATA(self)
 *             info.ndim = ndim
 *             if sizeof(npy_intp) != sizeof(Py_ssize_t):             # <<<<<<<<<<<<<<
 *                 # Allocate new buffer for strides and shape info.
 *                 # This is allocated as one block, strides first.
 */
    goto __pyx_L9;
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":246
 *                     info.shape[i] = PyArray_DIMS(self)[i]
 *             else:
 *                 info.strides = <Py_ssize_t*>PyArray_STRIDES(self)             # <<<<<<<<<<<<<<
 *                 info.shape = <Py_ssize_t*>PyArray_DIMS(self)
 *             info.suboffsets = NULL
 */
  /*else*/ {
    __pyx_v_info->strides = ((Py_ssize_t *)PyArray_STRIDES(__pyx_v_self));

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":247
 *             else:
 *                 info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
 *                 info.shape = <Py_ssize_t*>PyArray_DIMS(self)             # <<<<<<<<<<<<<<
 *             info.suboffsets = NULL
 *             info.itemsize = PyArray_ITEMSIZE(self)
 */
    __pyx_v_info->shape = ((Py_ssize_t *)PyArray_DIMS(__pyx_v_self));
  }
  __pyx_L9:;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":248
 *                 info.strides = <Py_ssize_t*>PyArray_STRIDES(self)
 *                 info.shape = <Py_ssize_t*>PyArray_DIMS(self)
 *             info.suboffsets = NULL             # <<<<<<<<<<<<<<
 *             info.itemsize = PyArray_ITEMSIZE(self)
 *             info.readonly = not PyArray_ISWRITEABLE(self)
 */
  __pyx_v_info->suboffsets = NULL;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":249
 *                 info.shape = <Py_ssize_t*>PyArray_DIMS(self)
 *             info.suboffsets = NULL
 *             info.itemsize = PyArray_ITEMSIZE(self)             # <<<<<<<<<<<<<<
 *             info.readonly = not PyArray_ISWRITEABLE(self)
 * 
 */
  __pyx_v_info->itemsize = PyArray_ITEMSIZE(__pyx_v_self);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":250
 *             info.suboffsets = NULL
 *             info.itemsize = PyArray_ITEMSIZE(self)
 *             info.readonly = not PyArray_ISWRITEABLE(self)             # <<<<<<<<<<<<<<
 * 
 *             cdef int t
 */
  __pyx_v_info->readonly = (!(PyArray_ISWRITEABLE(__pyx_v_self) != 0));

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":253
 * 
 *             cdef int t
 *             cdef char* f = NULL             # <<<<<<<<<<<<<<
 *             cdef dtype descr = self.descr
 *             cdef int offset
 */
  __pyx_v_f = NULL;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":254
 *             cdef int t
 *             cdef char* f = NULL
 *             cdef dtype descr = self.descr             # <<<<<<<<<<<<<<
 *             cdef int offset
 * 
 */
  __pyx_t_3 = ((PyObject *)__pyx_v_self->descr);
  __Pyx_INCREF(__pyx_t_3);
  __pyx_v_descr = ((PyArray_Descr *)__pyx_t_3);
  __pyx_t_3 = 0;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":257
 *             cdef int offset
 * 
 *             info.obj = self             # <<<<<<<<<<<<<<
 * 
 *             if not PyDataType_HASFIELDS(descr):
 */
  __Pyx_INCREF(((PyObject *)__pyx_v_self));
  __Pyx_GIVEREF(((PyObject *)__pyx_v_self));
  __Pyx_GOTREF(__pyx_v_info->obj);
  __Pyx_DECREF(__pyx_v_info->obj);
  __pyx_v_info->obj = ((PyObject *)__pyx_v_self);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":259
 *             info.obj = self
 * 
 *             if not PyDataType_HASFIELDS(descr):             # <<<<<<<<<<<<<<
 *                 t = descr.type_num
 *                 if ((descr.byteorder == c'>' and little_endian) or
 */
  __pyx_t_1 = ((!(PyDataType_HASFIELDS(__pyx_v_descr) != 0)) != 0);
  if (__pyx_t_1) {

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":260
 * 
 *             if not PyDataType_HASFIELDS(descr):
 *                 t = descr.type_num             # <<<<<<<<<<<<<<
 *                 if ((descr.byteorder == c'>' and little_endian) or
 *                     (descr.byteorder == c'<' and not little_endian)):
 */
    __pyx_t_4 = __pyx_v_descr->type_num;
    __pyx_v_t = __pyx_t_4;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":261
 *             if not PyDataType_HASFIELDS(descr):
 *                 t = descr.type_num
 *                 if ((descr.byteorder == c'>' and little_endian) or             # <<<<<<<<<<<<<<
 *                     (descr.byteorder == c'<' and not little_endian)):
 *                     raise ValueError(u"Non-native byte order not supported")
 */
    __pyx_t_2 = ((__pyx_v_descr->byteorder == '>') != 0);
    if (!__pyx_t_2) {
      goto __pyx_L15_next_or;
    } else {
    }
    __pyx_t_2 = (__pyx_v_little_endian != 0);
    if (!__pyx_t_2) {
    } else {
      __pyx_t_1 = __pyx_t_2;
      goto __pyx_L14_bool_binop_done;
    }
    __pyx_L15_next_or:;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":262
 *                 t = descr.type_num
 *                 if ((descr.byteorder == c'>' and little_endian) or
 *                     (descr.byteorder == c'<' and not little_endian)):             # <<<<<<<<<<<<<<
 *                     raise ValueError(u"Non-native byte order not supported")
 *                 if   t == NPY_BYTE:        f = "b"
 */
    __pyx_t_2 = ((__pyx_v_descr->byteorder == '<') != 0);
    if (__pyx_t_2) {
    } else {
      __pyx_t_1 = __pyx_t_2;
      goto __pyx_L14_bool_binop_done;
    }
    __pyx_t_2 = ((!(__pyx_v_little_endian != 0)) != 0);
    __pyx_t_1 = __pyx_t_2;
    __pyx_L14_bool_binop_done:;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":261
 *             if not PyDataType_HASFIELDS(descr):
 *                 t = descr.type_num
 *                 if ((descr.byteorder == c'>' and little_endian) or             # <<<<<<<<<<<<<<
 *                     (descr.byteorder == c'<' and not little_endian)):
 *                     raise ValueError(u"Non-native byte order not supported")
 */
    if (unlikely(__pyx_t_1)) {

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":263
 *                 if ((descr.byteorder == c'>' and little_endian) or
 *                     (descr.byteorder == c'<' and not little_endian)):
 *                     raise ValueError(u"Non-native byte order not supported")             # <<<<<<<<<<<<<<
 *                 if   t == NPY_BYTE:        f = "b"
 *                 elif t == NPY_UBYTE:       f = "B"
 */
      __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__131, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 263, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_Raise(__pyx_t_3, 0, 0, 0);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __PYX_ERR(1, 263, __pyx_L1_error)

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":261
 *             if not PyDataType_HASFIELDS(descr):
 *                 t = descr.type_num
 *                 if ((descr.byteorder == c'>' and little_endian) or             # <<<<<<<<<<<<<<
 *                     (descr.byteorder == c'<' and not little_endian)):
 *                     raise ValueError(u"Non-native byte order not supported")
 */
    }

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":264
 *                     (descr.byteorder == c'<' and not little_endian)):
 *                     raise ValueError(u"Non-native byte order not supported")
 *                 if   t == NPY_BYTE:        f = "b"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_UBYTE:       f = "B"
 *                 elif t == NPY_SHORT:       f = "h"
 */
    switch (__pyx_v_t) {
      case NPY_BYTE:
      __pyx_v_f = ((char *)"b");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":265
 *                     raise ValueError(u"Non-native byte order not supported")
 *                 if   t == NPY_BYTE:        f = "b"
 *                 elif t == NPY_UBYTE:       f = "B"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_SHORT:       f = "h"
 *                 elif t == NPY_USHORT:      f = "H"
 */
      case NPY_UBYTE:
      __pyx_v_f = ((char *)"B");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":266
 *                 if   t == NPY_BYTE:        f = "b"
 *                 elif t == NPY_UBYTE:       f = "B"
 *                 elif t == NPY_SHORT:       f = "h"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_USHORT:      f = "H"
 *                 elif t == NPY_INT:         f = "i"
 */
      case NPY_SHORT:
      __pyx_v_f = ((char *)"h");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":267
 *                 elif t == NPY_UBYTE:       f = "B"
 *                 elif t == NPY_SHORT:       f = "h"
 *                 elif t == NPY_USHORT:      f = "H"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_INT:         f = "i"
 *                 elif t == NPY_UINT:        f = "I"
 */
      case NPY_USHORT:
      __pyx_v_f = ((char *)"H");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":268
 *                 elif t == NPY_SHORT:       f = "h"
 *                 elif t == NPY_USHORT:      f = "H"
 *                 elif t == NPY_INT:         f = "i"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_UINT:        f = "I"
 *                 elif t == NPY_LONG:        f = "l"
 */
      case NPY_INT:
      __pyx_v_f = ((char *)"i");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":269
 *                 elif t == NPY_USHORT:      f = "H"
 *                 elif t == NPY_INT:         f = "i"
 *                 elif t == NPY_UINT:        f = "I"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_LONG:        f = "l"
 *                 elif t == NPY_ULONG:       f = "L"
 */
      case NPY_UINT:
      __pyx_v_f = ((char *)"I");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":270
 *                 elif t == NPY_INT:         f = "i"
 *                 elif t == NPY_UINT:        f = "I"
 *                 elif t == NPY_LONG:        f = "l"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_ULONG:       f = "L"
 *                 elif t == NPY_LONGLONG:    f = "q"
 */
      case NPY_LONG:
      __pyx_v_f = ((char *)"l");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":271
 *                 elif t == NPY_UINT:        f = "I"
 *                 elif t == NPY_LONG:        f = "l"
 *                 elif t == NPY_ULONG:       f = "L"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_LONGLONG:    f = "q"
 *                 elif t == NPY_ULONGLONG:   f = "Q"
 */
      case NPY_ULONG:
      __pyx_v_f = ((char *)"L");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":272
 *                 elif t == NPY_LONG:        f = "l"
 *                 elif t == NPY_ULONG:       f = "L"
 *                 elif t == NPY_LONGLONG:    f = "q"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_ULONGLONG:   f = "Q"
 *                 elif t == NPY_FLOAT:       f = "f"
 */
      case NPY_LONGLONG:
      __pyx_v_f = ((char *)"q");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":273
 *                 elif t == NPY_ULONG:       f = "L"
 *                 elif t == NPY_LONGLONG:    f = "q"
 *                 elif t == NPY_ULONGLONG:   f = "Q"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_FLOAT:       f = "f"
 *                 elif t == NPY_DOUBLE:      f = "d"
 */
      case NPY_ULONGLONG:
      __pyx_v_f = ((char *)"Q");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":274
 *                 elif t == NPY_LONGLONG:    f = "q"
 *                 elif t == NPY_ULONGLONG:   f = "Q"
 *                 elif t == NPY_FLOAT:       f = "f"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_DOUBLE:      f = "d"
 *                 elif t == NPY_LONGDOUBLE:  f = "g"
 */
      case NPY_FLOAT:
      __pyx_v_f = ((char *)"f");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":275
 *                 elif t == NPY_ULONGLONG:   f = "Q"
 *                 elif t == NPY_FLOAT:       f = "f"
 *                 elif t == NPY_DOUBLE:      f = "d"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_LONGDOUBLE:  f = "g"
 *                 elif t == NPY_CFLOAT:      f = "Zf"
 */
      case NPY_DOUBLE:
      __pyx_v_f = ((char *)"d");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":276
 *                 elif t == NPY_FLOAT:       f = "f"
 *                 elif t == NPY_DOUBLE:      f = "d"
 *                 elif t == NPY_LONGDOUBLE:  f = "g"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_CFLOAT:      f = "Zf"
 *                 elif t == NPY_CDOUBLE:     f = "Zd"
 */
      case NPY_LONGDOUBLE:
      __pyx_v_f = ((char *)"g");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":277
 *                 elif t == NPY_DOUBLE:      f = "d"
 *                 elif t == NPY_LONGDOUBLE:  f = "g"
 *                 elif t == NPY_CFLOAT:      f = "Zf"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_CDOUBLE:     f = "Zd"
 *                 elif t == NPY_CLONGDOUBLE: f = "Zg"
 */
      case NPY_CFLOAT:
      __pyx_v_f = ((char *)"Zf");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":278
 *                 elif t == NPY_LONGDOUBLE:  f = "g"
 *                 elif t == NPY_CFLOAT:      f = "Zf"
 *                 elif t == NPY_CDOUBLE:     f = "Zd"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_CLONGDOUBLE: f = "Zg"
 *                 elif t == NPY_OBJECT:      f = "O"
 */
      case NPY_CDOUBLE:
      __pyx_v_f = ((char *)"Zd");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":279
 *                 elif t == NPY_CFLOAT:      f = "Zf"
 *                 elif t == NPY_CDOUBLE:     f = "Zd"
 *                 elif t == NPY_CLONGDOUBLE: f = "Zg"             # <<<<<<<<<<<<<<
 *                 elif t == NPY_OBJECT:      f = "O"
 *                 else:
 */
      case NPY_CLONGDOUBLE:
      __pyx_v_f = ((char *)"Zg");
      break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":280
 *                 elif t == NPY_CDOUBLE:     f = "Zd"
 *                 elif t == NPY_CLONGDOUBLE: f = "Zg"
 *                 elif t == NPY_OBJECT:      f = "O"             # <<<<<<<<<<<<<<
 *                 else:
 *                     raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
 */
      case NPY_OBJECT:
      __pyx_v_f = ((char *)"O");
      break;
      default:

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":282
 *                 elif t == NPY_OBJECT:      f = "O"
 *                 else:
 *                     raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)             # <<<<<<<<<<<<<<
 *                 info.format = f
 *                 return
 */
      __pyx_t_3 = __Pyx_PyInt_From_int(__pyx_v_t); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 282, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_7 = PyUnicode_Format(__pyx_kp_u_unknown_dtype_code_in_numpy_pxd, __pyx_t_3); if (unlikely(!__pyx_t_7)) __PYX_ERR(1, 282, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_7);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_7); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 282, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_DECREF(__pyx_t_7); __pyx_t_7 = 0;
      __Pyx_Raise(__pyx_t_3, 0, 0, 0);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __PYX_ERR(1, 282, __pyx_L1_error)
      break;
    }

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":283
 *                 else:
 *                     raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
 *                 info.format = f             # <<<<<<<<<<<<<<
 *                 return
 *             else:
 */
    __pyx_v_info->format = __pyx_v_f;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":284
 *                     raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
 *                 info.format = f
 *                 return             # <<<<<<<<<<<<<<
 *             else:
 *                 info.format = <char*>PyObject_Malloc(_buffer_format_string_len)
 */
    __pyx_r = 0;
    goto __pyx_L0;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":259
 *             info.obj = self
 * 
 *             if not PyDataType_HASFIELDS(descr):             # <<<<<<<<<<<<<<
 *                 t = descr.type_num
 *                 if ((descr.byteorder == c'>' and little_endian) or
 */
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":286
 *                 return
 *             else:
 *                 info.format = <char*>PyObject_Malloc(_buffer_format_string_len)             # <<<<<<<<<<<<<<
 *                 info.format[0] = c'^' # Native data types, manual alignment
 *                 offset = 0
 */
  /*else*/ {
    __pyx_v_info->format = ((char *)PyObject_Malloc(0xFF));

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":287
 *             else:
 *                 info.format = <char*>PyObject_Malloc(_buffer_format_string_len)
 *                 info.format[0] = c'^' # Native data types, manual alignment             # <<<<<<<<<<<<<<
 *                 offset = 0
 *                 f = _util_dtypestring(descr, info.format + 1,
 */
    (__pyx_v_info->format[0]) = '^';

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":288
 *                 info.format = <char*>PyObject_Malloc(_buffer_format_string_len)
 *                 info.format[0] = c'^' # Native data types, manual alignment
 *                 offset = 0             # <<<<<<<<<<<<<<
 *                 f = _util_dtypestring(descr, info.format + 1,
 *                                       info.format + _buffer_format_string_len,
 */
    __pyx_v_offset = 0;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":289
 *                 info.format[0] = c'^' # Native data types, manual alignment
 *                 offset = 0
 *                 f = _util_dtypestring(descr, info.format + 1,             # <<<<<<<<<<<<<<
 *                                       info.format + _buffer_format_string_len,
 *                                       &offset)
 */
    __pyx_t_8 = __pyx_f_5numpy__util_dtypestring(__pyx_v_descr, (__pyx_v_info->format + 1), (__pyx_v_info->format + 0xFF), (&__pyx_v_offset)); if (unlikely(__pyx_t_8 == ((char *)NULL))) __PYX_ERR(1, 289, __pyx_L1_error)
    __pyx_v_f = __pyx_t_8;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":292
 *                                       info.format + _buffer_format_string_len,
 *                                       &offset)
 *                 f[0] = c'\0' # Terminate format string             # <<<<<<<<<<<<<<
 * 
 *         def __releasebuffer__(ndarray self, Py_buffer* info):
 */
    (__pyx_v_f[0]) = '\x00';
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":215
 *         # experimental exception made for __getbuffer__ and __releasebuffer__
 *         # -- the details of this may change.
 *         def __getbuffer__(ndarray self, Py_buffer* info, int flags):             # <<<<<<<<<<<<<<
 *             # This implementation of getbuffer is geared towards Cython
 *             # requirements, and does not yet fulfill the PEP.
 */

  /* function exit code */
  __pyx_r = 0;
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_AddTraceback("numpy.ndarray.__getbuffer__", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = -1;
  if (__pyx_v_info->obj != NULL) {
    __Pyx_GOTREF(__pyx_v_info->obj);
    __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0;
  }
  goto __pyx_L2;
  __pyx_L0:;
  if (__pyx_v_info->obj == Py_None) {
    __Pyx_GOTREF(__pyx_v_info->obj);
    __Pyx_DECREF(__pyx_v_info->obj); __pyx_v_info->obj = 0;
  }
  __pyx_L2:;
  __Pyx_XDECREF((PyObject *)__pyx_v_descr);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":294
 *                 f[0] = c'\0' # Terminate format string
 * 
 *         def __releasebuffer__(ndarray self, Py_buffer* info):             # <<<<<<<<<<<<<<
 *             if PyArray_HASFIELDS(self):
 *                 PyObject_Free(info.format)
 */

/* Python wrapper */
static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info); /*proto*/
static CYTHON_UNUSED void __pyx_pw_5numpy_7ndarray_3__releasebuffer__(PyObject *__pyx_v_self, Py_buffer *__pyx_v_info) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__releasebuffer__ (wrapper)", 0);
  __pyx_pf_5numpy_7ndarray_2__releasebuffer__(((PyArrayObject *)__pyx_v_self), ((Py_buffer *)__pyx_v_info));

  /* function exit code */
  __Pyx_RefNannyFinishContext();
}

static void __pyx_pf_5numpy_7ndarray_2__releasebuffer__(PyArrayObject *__pyx_v_self, Py_buffer *__pyx_v_info) {
  __Pyx_RefNannyDeclarations
  int __pyx_t_1;
  __Pyx_RefNannySetupContext("__releasebuffer__", 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":295
 * 
 *         def __releasebuffer__(ndarray self, Py_buffer* info):
 *             if PyArray_HASFIELDS(self):             # <<<<<<<<<<<<<<
 *                 PyObject_Free(info.format)
 *             if sizeof(npy_intp) != sizeof(Py_ssize_t):
 */
  __pyx_t_1 = (PyArray_HASFIELDS(__pyx_v_self) != 0);
  if (__pyx_t_1) {

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":296
 *         def __releasebuffer__(ndarray self, Py_buffer* info):
 *             if PyArray_HASFIELDS(self):
 *                 PyObject_Free(info.format)             # <<<<<<<<<<<<<<
 *             if sizeof(npy_intp) != sizeof(Py_ssize_t):
 *                 PyObject_Free(info.strides)
 */
    PyObject_Free(__pyx_v_info->format);

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":295
 * 
 *         def __releasebuffer__(ndarray self, Py_buffer* info):
 *             if PyArray_HASFIELDS(self):             # <<<<<<<<<<<<<<
 *                 PyObject_Free(info.format)
 *             if sizeof(npy_intp) != sizeof(Py_ssize_t):
 */
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":297
 *             if PyArray_HASFIELDS(self):
 *                 PyObject_Free(info.format)
 *             if sizeof(npy_intp) != sizeof(Py_ssize_t):             # <<<<<<<<<<<<<<
 *                 PyObject_Free(info.strides)
 *                 # info.shape was stored after info.strides in the same block
 */
  __pyx_t_1 = (((sizeof(npy_intp)) != (sizeof(Py_ssize_t))) != 0);
  if (__pyx_t_1) {

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":298
 *                 PyObject_Free(info.format)
 *             if sizeof(npy_intp) != sizeof(Py_ssize_t):
 *                 PyObject_Free(info.strides)             # <<<<<<<<<<<<<<
 *                 # info.shape was stored after info.strides in the same block
 * 
 */
    PyObject_Free(__pyx_v_info->strides);

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":297
 *             if PyArray_HASFIELDS(self):
 *                 PyObject_Free(info.format)
 *             if sizeof(npy_intp) != sizeof(Py_ssize_t):             # <<<<<<<<<<<<<<
 *                 PyObject_Free(info.strides)
 *                 # info.shape was stored after info.strides in the same block
 */
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":294
 *                 f[0] = c'\0' # Terminate format string
 * 
 *         def __releasebuffer__(ndarray self, Py_buffer* info):             # <<<<<<<<<<<<<<
 *             if PyArray_HASFIELDS(self):
 *                 PyObject_Free(info.format)
 */

  /* function exit code */
  __Pyx_RefNannyFinishContext();
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":775
 * ctypedef npy_cdouble     complex_t
 * 
 * cdef inline object PyArray_MultiIterNew1(a):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(1, <void*>a)
 * 
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew1(PyObject *__pyx_v_a) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("PyArray_MultiIterNew1", 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":776
 * 
 * cdef inline object PyArray_MultiIterNew1(a):
 *     return PyArray_MultiIterNew(1, <void*>a)             # <<<<<<<<<<<<<<
 * 
 * cdef inline object PyArray_MultiIterNew2(a, b):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyArray_MultiIterNew(1, ((void *)__pyx_v_a)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 776, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":775
 * ctypedef npy_cdouble     complex_t
 * 
 * cdef inline object PyArray_MultiIterNew1(a):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(1, <void*>a)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("numpy.PyArray_MultiIterNew1", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = 0;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":778
 *     return PyArray_MultiIterNew(1, <void*>a)
 * 
 * cdef inline object PyArray_MultiIterNew2(a, b):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
 * 
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew2(PyObject *__pyx_v_a, PyObject *__pyx_v_b) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("PyArray_MultiIterNew2", 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":779
 * 
 * cdef inline object PyArray_MultiIterNew2(a, b):
 *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)             # <<<<<<<<<<<<<<
 * 
 * cdef inline object PyArray_MultiIterNew3(a, b, c):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyArray_MultiIterNew(2, ((void *)__pyx_v_a), ((void *)__pyx_v_b)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 779, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":778
 *     return PyArray_MultiIterNew(1, <void*>a)
 * 
 * cdef inline object PyArray_MultiIterNew2(a, b):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("numpy.PyArray_MultiIterNew2", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = 0;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":781
 *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
 * 
 * cdef inline object PyArray_MultiIterNew3(a, b, c):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
 * 
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew3(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("PyArray_MultiIterNew3", 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":782
 * 
 * cdef inline object PyArray_MultiIterNew3(a, b, c):
 *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)             # <<<<<<<<<<<<<<
 * 
 * cdef inline object PyArray_MultiIterNew4(a, b, c, d):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyArray_MultiIterNew(3, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 782, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":781
 *     return PyArray_MultiIterNew(2, <void*>a, <void*>b)
 * 
 * cdef inline object PyArray_MultiIterNew3(a, b, c):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("numpy.PyArray_MultiIterNew3", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = 0;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":784
 *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
 * 
 * cdef inline object PyArray_MultiIterNew4(a, b, c, d):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
 * 
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew4(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("PyArray_MultiIterNew4", 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":785
 * 
 * cdef inline object PyArray_MultiIterNew4(a, b, c, d):
 *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)             # <<<<<<<<<<<<<<
 * 
 * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyArray_MultiIterNew(4, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 785, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":784
 *     return PyArray_MultiIterNew(3, <void*>a, <void*>b, <void*> c)
 * 
 * cdef inline object PyArray_MultiIterNew4(a, b, c, d):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("numpy.PyArray_MultiIterNew4", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = 0;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":787
 *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
 * 
 * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
 * 
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyArray_MultiIterNew5(PyObject *__pyx_v_a, PyObject *__pyx_v_b, PyObject *__pyx_v_c, PyObject *__pyx_v_d, PyObject *__pyx_v_e) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  __Pyx_RefNannySetupContext("PyArray_MultiIterNew5", 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":788
 * 
 * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):
 *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)             # <<<<<<<<<<<<<<
 * 
 * cdef inline tuple PyDataType_SHAPE(dtype d):
 */
  __Pyx_XDECREF(__pyx_r);
  __pyx_t_1 = PyArray_MultiIterNew(5, ((void *)__pyx_v_a), ((void *)__pyx_v_b), ((void *)__pyx_v_c), ((void *)__pyx_v_d), ((void *)__pyx_v_e)); if (unlikely(!__pyx_t_1)) __PYX_ERR(1, 788, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_r = __pyx_t_1;
  __pyx_t_1 = 0;
  goto __pyx_L0;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":787
 *     return PyArray_MultiIterNew(4, <void*>a, <void*>b, <void*>c, <void*> d)
 * 
 * cdef inline object PyArray_MultiIterNew5(a, b, c, d, e):             # <<<<<<<<<<<<<<
 *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
 * 
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_AddTraceback("numpy.PyArray_MultiIterNew5", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = 0;
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":790
 *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
 * 
 * cdef inline tuple PyDataType_SHAPE(dtype d):             # <<<<<<<<<<<<<<
 *     if PyDataType_HASSUBARRAY(d):
 *         return <tuple>d.subarray.shape
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_PyDataType_SHAPE(PyArray_Descr *__pyx_v_d) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  int __pyx_t_1;
  __Pyx_RefNannySetupContext("PyDataType_SHAPE", 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":791
 * 
 * cdef inline tuple PyDataType_SHAPE(dtype d):
 *     if PyDataType_HASSUBARRAY(d):             # <<<<<<<<<<<<<<
 *         return <tuple>d.subarray.shape
 *     else:
 */
  __pyx_t_1 = (PyDataType_HASSUBARRAY(__pyx_v_d) != 0);
  if (__pyx_t_1) {

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":792
 * cdef inline tuple PyDataType_SHAPE(dtype d):
 *     if PyDataType_HASSUBARRAY(d):
 *         return <tuple>d.subarray.shape             # <<<<<<<<<<<<<<
 *     else:
 *         return ()
 */
    __Pyx_XDECREF(__pyx_r);
    __Pyx_INCREF(((PyObject*)__pyx_v_d->subarray->shape));
    __pyx_r = ((PyObject*)__pyx_v_d->subarray->shape);
    goto __pyx_L0;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":791
 * 
 * cdef inline tuple PyDataType_SHAPE(dtype d):
 *     if PyDataType_HASSUBARRAY(d):             # <<<<<<<<<<<<<<
 *         return <tuple>d.subarray.shape
 *     else:
 */
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":794
 *         return <tuple>d.subarray.shape
 *     else:
 *         return ()             # <<<<<<<<<<<<<<
 * 
 * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL:
 */
  /*else*/ {
    __Pyx_XDECREF(__pyx_r);
    __Pyx_INCREF(__pyx_empty_tuple);
    __pyx_r = __pyx_empty_tuple;
    goto __pyx_L0;
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":790
 *     return PyArray_MultiIterNew(5, <void*>a, <void*>b, <void*>c, <void*> d, <void*> e)
 * 
 * cdef inline tuple PyDataType_SHAPE(dtype d):             # <<<<<<<<<<<<<<
 *     if PyDataType_HASSUBARRAY(d):
 *         return <tuple>d.subarray.shape
 */

  /* function exit code */
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":796
 *         return ()
 * 
 * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL:             # <<<<<<<<<<<<<<
 *     # Recursive utility function used in __getbuffer__ to get format
 *     # string. The new location in the format string is returned.
 */

static CYTHON_INLINE char *__pyx_f_5numpy__util_dtypestring(PyArray_Descr *__pyx_v_descr, char *__pyx_v_f, char *__pyx_v_end, int *__pyx_v_offset) {
  PyArray_Descr *__pyx_v_child = 0;
  int __pyx_v_endian_detector;
  int __pyx_v_little_endian;
  PyObject *__pyx_v_fields = 0;
  PyObject *__pyx_v_childname = NULL;
  PyObject *__pyx_v_new_offset = NULL;
  PyObject *__pyx_v_t = NULL;
  char *__pyx_r;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  Py_ssize_t __pyx_t_2;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  int __pyx_t_5;
  int __pyx_t_6;
  int __pyx_t_7;
  long __pyx_t_8;
  char *__pyx_t_9;
  __Pyx_RefNannySetupContext("_util_dtypestring", 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":801
 * 
 *     cdef dtype child
 *     cdef int endian_detector = 1             # <<<<<<<<<<<<<<
 *     cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)
 *     cdef tuple fields
 */
  __pyx_v_endian_detector = 1;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":802
 *     cdef dtype child
 *     cdef int endian_detector = 1
 *     cdef bint little_endian = ((<char*>&endian_detector)[0] != 0)             # <<<<<<<<<<<<<<
 *     cdef tuple fields
 * 
 */
  __pyx_v_little_endian = ((((char *)(&__pyx_v_endian_detector))[0]) != 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":805
 *     cdef tuple fields
 * 
 *     for childname in descr.names:             # <<<<<<<<<<<<<<
 *         fields = descr.fields[childname]
 *         child, new_offset = fields
 */
  if (unlikely(__pyx_v_descr->names == Py_None)) {
    PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
    __PYX_ERR(1, 805, __pyx_L1_error)
  }
  __pyx_t_1 = __pyx_v_descr->names; __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = 0;
  for (;;) {
    if (__pyx_t_2 >= PyTuple_GET_SIZE(__pyx_t_1)) break;
    #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    __pyx_t_3 = PyTuple_GET_ITEM(__pyx_t_1, __pyx_t_2); __Pyx_INCREF(__pyx_t_3); __pyx_t_2++; if (unlikely(0 < 0)) __PYX_ERR(1, 805, __pyx_L1_error)
    #else
    __pyx_t_3 = PySequence_ITEM(__pyx_t_1, __pyx_t_2); __pyx_t_2++; if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 805, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    #endif
    __Pyx_XDECREF_SET(__pyx_v_childname, __pyx_t_3);
    __pyx_t_3 = 0;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":806
 * 
 *     for childname in descr.names:
 *         fields = descr.fields[childname]             # <<<<<<<<<<<<<<
 *         child, new_offset = fields
 * 
 */
    if (unlikely(__pyx_v_descr->fields == Py_None)) {
      PyErr_SetString(PyExc_TypeError, "'NoneType' object is not subscriptable");
      __PYX_ERR(1, 806, __pyx_L1_error)
    }
    __pyx_t_3 = __Pyx_PyDict_GetItem(__pyx_v_descr->fields, __pyx_v_childname); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 806, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    if (!(likely(PyTuple_CheckExact(__pyx_t_3))||((__pyx_t_3) == Py_None)||(PyErr_Format(PyExc_TypeError, "Expected %.16s, got %.200s", "tuple", Py_TYPE(__pyx_t_3)->tp_name), 0))) __PYX_ERR(1, 806, __pyx_L1_error)
    __Pyx_XDECREF_SET(__pyx_v_fields, ((PyObject*)__pyx_t_3));
    __pyx_t_3 = 0;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":807
 *     for childname in descr.names:
 *         fields = descr.fields[childname]
 *         child, new_offset = fields             # <<<<<<<<<<<<<<
 * 
 *         if (end - f) - <int>(new_offset - offset[0]) < 15:
 */
    if (likely(__pyx_v_fields != Py_None)) {
      PyObject* sequence = __pyx_v_fields;
      Py_ssize_t size = __Pyx_PySequence_SIZE(sequence);
      if (unlikely(size != 2)) {
        if (size > 2) __Pyx_RaiseTooManyValuesError(2);
        else if (size >= 0) __Pyx_RaiseNeedMoreValuesError(size);
        __PYX_ERR(1, 807, __pyx_L1_error)
      }
      #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
      __pyx_t_3 = PyTuple_GET_ITEM(sequence, 0); 
      __pyx_t_4 = PyTuple_GET_ITEM(sequence, 1); 
      __Pyx_INCREF(__pyx_t_3);
      __Pyx_INCREF(__pyx_t_4);
      #else
      __pyx_t_3 = PySequence_ITEM(sequence, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 807, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_4 = PySequence_ITEM(sequence, 1); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 807, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      #endif
    } else {
      __Pyx_RaiseNoneNotIterableError(); __PYX_ERR(1, 807, __pyx_L1_error)
    }
    if (!(likely(((__pyx_t_3) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_3, __pyx_ptype_5numpy_dtype))))) __PYX_ERR(1, 807, __pyx_L1_error)
    __Pyx_XDECREF_SET(__pyx_v_child, ((PyArray_Descr *)__pyx_t_3));
    __pyx_t_3 = 0;
    __Pyx_XDECREF_SET(__pyx_v_new_offset, __pyx_t_4);
    __pyx_t_4 = 0;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":809
 *         child, new_offset = fields
 * 
 *         if (end - f) - <int>(new_offset - offset[0]) < 15:             # <<<<<<<<<<<<<<
 *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
 * 
 */
    __pyx_t_4 = __Pyx_PyInt_From_int((__pyx_v_offset[0])); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 809, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_4);
    __pyx_t_3 = PyNumber_Subtract(__pyx_v_new_offset, __pyx_t_4); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 809, __pyx_L1_error)
    __Pyx_GOTREF(__pyx_t_3);
    __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
    __pyx_t_5 = __Pyx_PyInt_As_int(__pyx_t_3); if (unlikely((__pyx_t_5 == (int)-1) && PyErr_Occurred())) __PYX_ERR(1, 809, __pyx_L1_error)
    __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
    __pyx_t_6 = ((((__pyx_v_end - __pyx_v_f) - ((int)__pyx_t_5)) < 15) != 0);
    if (unlikely(__pyx_t_6)) {

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":810
 * 
 *         if (end - f) - <int>(new_offset - offset[0]) < 15:
 *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")             # <<<<<<<<<<<<<<
 * 
 *         if ((child.byteorder == c'>' and little_endian) or
 */
      __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_tuple__132, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 810, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_Raise(__pyx_t_3, 0, 0, 0);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __PYX_ERR(1, 810, __pyx_L1_error)

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":809
 *         child, new_offset = fields
 * 
 *         if (end - f) - <int>(new_offset - offset[0]) < 15:             # <<<<<<<<<<<<<<
 *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
 * 
 */
    }

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":812
 *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
 * 
 *         if ((child.byteorder == c'>' and little_endian) or             # <<<<<<<<<<<<<<
 *             (child.byteorder == c'<' and not little_endian)):
 *             raise ValueError(u"Non-native byte order not supported")
 */
    __pyx_t_7 = ((__pyx_v_child->byteorder == '>') != 0);
    if (!__pyx_t_7) {
      goto __pyx_L8_next_or;
    } else {
    }
    __pyx_t_7 = (__pyx_v_little_endian != 0);
    if (!__pyx_t_7) {
    } else {
      __pyx_t_6 = __pyx_t_7;
      goto __pyx_L7_bool_binop_done;
    }
    __pyx_L8_next_or:;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":813
 * 
 *         if ((child.byteorder == c'>' and little_endian) or
 *             (child.byteorder == c'<' and not little_endian)):             # <<<<<<<<<<<<<<
 *             raise ValueError(u"Non-native byte order not supported")
 *             # One could encode it in the format string and have Cython
 */
    __pyx_t_7 = ((__pyx_v_child->byteorder == '<') != 0);
    if (__pyx_t_7) {
    } else {
      __pyx_t_6 = __pyx_t_7;
      goto __pyx_L7_bool_binop_done;
    }
    __pyx_t_7 = ((!(__pyx_v_little_endian != 0)) != 0);
    __pyx_t_6 = __pyx_t_7;
    __pyx_L7_bool_binop_done:;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":812
 *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
 * 
 *         if ((child.byteorder == c'>' and little_endian) or             # <<<<<<<<<<<<<<
 *             (child.byteorder == c'<' and not little_endian)):
 *             raise ValueError(u"Non-native byte order not supported")
 */
    if (unlikely(__pyx_t_6)) {

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":814
 *         if ((child.byteorder == c'>' and little_endian) or
 *             (child.byteorder == c'<' and not little_endian)):
 *             raise ValueError(u"Non-native byte order not supported")             # <<<<<<<<<<<<<<
 *             # One could encode it in the format string and have Cython
 *             # complain instead, BUT: < and > in format strings also imply
 */
      __pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_ValueError, __pyx_tuple__133, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 814, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __Pyx_Raise(__pyx_t_3, 0, 0, 0);
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __PYX_ERR(1, 814, __pyx_L1_error)

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":812
 *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")
 * 
 *         if ((child.byteorder == c'>' and little_endian) or             # <<<<<<<<<<<<<<
 *             (child.byteorder == c'<' and not little_endian)):
 *             raise ValueError(u"Non-native byte order not supported")
 */
    }

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":824
 * 
 *         # Output padding bytes
 *         while offset[0] < new_offset:             # <<<<<<<<<<<<<<
 *             f[0] = 120 # "x"; pad byte
 *             f += 1
 */
    while (1) {
      __pyx_t_3 = __Pyx_PyInt_From_int((__pyx_v_offset[0])); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 824, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_4 = PyObject_RichCompare(__pyx_t_3, __pyx_v_new_offset, Py_LT); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 824, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 824, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      if (!__pyx_t_6) break;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":825
 *         # Output padding bytes
 *         while offset[0] < new_offset:
 *             f[0] = 120 # "x"; pad byte             # <<<<<<<<<<<<<<
 *             f += 1
 *             offset[0] += 1
 */
      (__pyx_v_f[0]) = 0x78;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":826
 *         while offset[0] < new_offset:
 *             f[0] = 120 # "x"; pad byte
 *             f += 1             # <<<<<<<<<<<<<<
 *             offset[0] += 1
 * 
 */
      __pyx_v_f = (__pyx_v_f + 1);

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":827
 *             f[0] = 120 # "x"; pad byte
 *             f += 1
 *             offset[0] += 1             # <<<<<<<<<<<<<<
 * 
 *         offset[0] += child.itemsize
 */
      __pyx_t_8 = 0;
      (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + 1);
    }

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":829
 *             offset[0] += 1
 * 
 *         offset[0] += child.itemsize             # <<<<<<<<<<<<<<
 * 
 *         if not PyDataType_HASFIELDS(child):
 */
    __pyx_t_8 = 0;
    (__pyx_v_offset[__pyx_t_8]) = ((__pyx_v_offset[__pyx_t_8]) + __pyx_v_child->elsize);

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":831
 *         offset[0] += child.itemsize
 * 
 *         if not PyDataType_HASFIELDS(child):             # <<<<<<<<<<<<<<
 *             t = child.type_num
 *             if end - f < 5:
 */
    __pyx_t_6 = ((!(PyDataType_HASFIELDS(__pyx_v_child) != 0)) != 0);
    if (__pyx_t_6) {

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":832
 * 
 *         if not PyDataType_HASFIELDS(child):
 *             t = child.type_num             # <<<<<<<<<<<<<<
 *             if end - f < 5:
 *                 raise RuntimeError(u"Format string allocated too short.")
 */
      __pyx_t_4 = __Pyx_PyInt_From_int(__pyx_v_child->type_num); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 832, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __Pyx_XDECREF_SET(__pyx_v_t, __pyx_t_4);
      __pyx_t_4 = 0;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":833
 *         if not PyDataType_HASFIELDS(child):
 *             t = child.type_num
 *             if end - f < 5:             # <<<<<<<<<<<<<<
 *                 raise RuntimeError(u"Format string allocated too short.")
 * 
 */
      __pyx_t_6 = (((__pyx_v_end - __pyx_v_f) < 5) != 0);
      if (unlikely(__pyx_t_6)) {

        /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":834
 *             t = child.type_num
 *             if end - f < 5:
 *                 raise RuntimeError(u"Format string allocated too short.")             # <<<<<<<<<<<<<<
 * 
 *             # Until ticket #99 is fixed, use integers to avoid warnings
 */
        __pyx_t_4 = __Pyx_PyObject_Call(__pyx_builtin_RuntimeError, __pyx_tuple__134, NULL); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 834, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __Pyx_Raise(__pyx_t_4, 0, 0, 0);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __PYX_ERR(1, 834, __pyx_L1_error)

        /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":833
 *         if not PyDataType_HASFIELDS(child):
 *             t = child.type_num
 *             if end - f < 5:             # <<<<<<<<<<<<<<
 *                 raise RuntimeError(u"Format string allocated too short.")
 * 
 */
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":837
 * 
 *             # Until ticket #99 is fixed, use integers to avoid warnings
 *             if   t == NPY_BYTE:        f[0] =  98 #"b"             # <<<<<<<<<<<<<<
 *             elif t == NPY_UBYTE:       f[0] =  66 #"B"
 *             elif t == NPY_SHORT:       f[0] = 104 #"h"
 */
      __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_BYTE); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 837, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 837, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 837, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 98;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":838
 *             # Until ticket #99 is fixed, use integers to avoid warnings
 *             if   t == NPY_BYTE:        f[0] =  98 #"b"
 *             elif t == NPY_UBYTE:       f[0] =  66 #"B"             # <<<<<<<<<<<<<<
 *             elif t == NPY_SHORT:       f[0] = 104 #"h"
 *             elif t == NPY_USHORT:      f[0] =  72 #"H"
 */
      __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_UBYTE); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 838, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 838, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 838, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 66;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":839
 *             if   t == NPY_BYTE:        f[0] =  98 #"b"
 *             elif t == NPY_UBYTE:       f[0] =  66 #"B"
 *             elif t == NPY_SHORT:       f[0] = 104 #"h"             # <<<<<<<<<<<<<<
 *             elif t == NPY_USHORT:      f[0] =  72 #"H"
 *             elif t == NPY_INT:         f[0] = 105 #"i"
 */
      __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_SHORT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 839, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 839, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 839, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 0x68;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":840
 *             elif t == NPY_UBYTE:       f[0] =  66 #"B"
 *             elif t == NPY_SHORT:       f[0] = 104 #"h"
 *             elif t == NPY_USHORT:      f[0] =  72 #"H"             # <<<<<<<<<<<<<<
 *             elif t == NPY_INT:         f[0] = 105 #"i"
 *             elif t == NPY_UINT:        f[0] =  73 #"I"
 */
      __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_USHORT); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 840, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 840, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 840, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 72;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":841
 *             elif t == NPY_SHORT:       f[0] = 104 #"h"
 *             elif t == NPY_USHORT:      f[0] =  72 #"H"
 *             elif t == NPY_INT:         f[0] = 105 #"i"             # <<<<<<<<<<<<<<
 *             elif t == NPY_UINT:        f[0] =  73 #"I"
 *             elif t == NPY_LONG:        f[0] = 108 #"l"
 */
      __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_INT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 841, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 841, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 841, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 0x69;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":842
 *             elif t == NPY_USHORT:      f[0] =  72 #"H"
 *             elif t == NPY_INT:         f[0] = 105 #"i"
 *             elif t == NPY_UINT:        f[0] =  73 #"I"             # <<<<<<<<<<<<<<
 *             elif t == NPY_LONG:        f[0] = 108 #"l"
 *             elif t == NPY_ULONG:       f[0] = 76  #"L"
 */
      __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_UINT); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 842, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 842, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 842, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 73;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":843
 *             elif t == NPY_INT:         f[0] = 105 #"i"
 *             elif t == NPY_UINT:        f[0] =  73 #"I"
 *             elif t == NPY_LONG:        f[0] = 108 #"l"             # <<<<<<<<<<<<<<
 *             elif t == NPY_ULONG:       f[0] = 76  #"L"
 *             elif t == NPY_LONGLONG:    f[0] = 113 #"q"
 */
      __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_LONG); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 843, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 843, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 843, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 0x6C;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":844
 *             elif t == NPY_UINT:        f[0] =  73 #"I"
 *             elif t == NPY_LONG:        f[0] = 108 #"l"
 *             elif t == NPY_ULONG:       f[0] = 76  #"L"             # <<<<<<<<<<<<<<
 *             elif t == NPY_LONGLONG:    f[0] = 113 #"q"
 *             elif t == NPY_ULONGLONG:   f[0] = 81  #"Q"
 */
      __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_ULONG); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 844, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 844, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 844, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 76;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":845
 *             elif t == NPY_LONG:        f[0] = 108 #"l"
 *             elif t == NPY_ULONG:       f[0] = 76  #"L"
 *             elif t == NPY_LONGLONG:    f[0] = 113 #"q"             # <<<<<<<<<<<<<<
 *             elif t == NPY_ULONGLONG:   f[0] = 81  #"Q"
 *             elif t == NPY_FLOAT:       f[0] = 102 #"f"
 */
      __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_LONGLONG); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 845, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 845, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 845, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 0x71;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":846
 *             elif t == NPY_ULONG:       f[0] = 76  #"L"
 *             elif t == NPY_LONGLONG:    f[0] = 113 #"q"
 *             elif t == NPY_ULONGLONG:   f[0] = 81  #"Q"             # <<<<<<<<<<<<<<
 *             elif t == NPY_FLOAT:       f[0] = 102 #"f"
 *             elif t == NPY_DOUBLE:      f[0] = 100 #"d"
 */
      __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_ULONGLONG); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 846, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 846, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 846, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 81;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":847
 *             elif t == NPY_LONGLONG:    f[0] = 113 #"q"
 *             elif t == NPY_ULONGLONG:   f[0] = 81  #"Q"
 *             elif t == NPY_FLOAT:       f[0] = 102 #"f"             # <<<<<<<<<<<<<<
 *             elif t == NPY_DOUBLE:      f[0] = 100 #"d"
 *             elif t == NPY_LONGDOUBLE:  f[0] = 103 #"g"
 */
      __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_FLOAT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 847, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 847, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 847, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 0x66;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":848
 *             elif t == NPY_ULONGLONG:   f[0] = 81  #"Q"
 *             elif t == NPY_FLOAT:       f[0] = 102 #"f"
 *             elif t == NPY_DOUBLE:      f[0] = 100 #"d"             # <<<<<<<<<<<<<<
 *             elif t == NPY_LONGDOUBLE:  f[0] = 103 #"g"
 *             elif t == NPY_CFLOAT:      f[0] = 90; f[1] = 102; f += 1 # Zf
 */
      __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_DOUBLE); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 848, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 848, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 848, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 0x64;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":849
 *             elif t == NPY_FLOAT:       f[0] = 102 #"f"
 *             elif t == NPY_DOUBLE:      f[0] = 100 #"d"
 *             elif t == NPY_LONGDOUBLE:  f[0] = 103 #"g"             # <<<<<<<<<<<<<<
 *             elif t == NPY_CFLOAT:      f[0] = 90; f[1] = 102; f += 1 # Zf
 *             elif t == NPY_CDOUBLE:     f[0] = 90; f[1] = 100; f += 1 # Zd
 */
      __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_LONGDOUBLE); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 849, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 849, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 849, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 0x67;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":850
 *             elif t == NPY_DOUBLE:      f[0] = 100 #"d"
 *             elif t == NPY_LONGDOUBLE:  f[0] = 103 #"g"
 *             elif t == NPY_CFLOAT:      f[0] = 90; f[1] = 102; f += 1 # Zf             # <<<<<<<<<<<<<<
 *             elif t == NPY_CDOUBLE:     f[0] = 90; f[1] = 100; f += 1 # Zd
 *             elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
 */
      __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_CFLOAT); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 850, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 850, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 850, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 90;
        (__pyx_v_f[1]) = 0x66;
        __pyx_v_f = (__pyx_v_f + 1);
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":851
 *             elif t == NPY_LONGDOUBLE:  f[0] = 103 #"g"
 *             elif t == NPY_CFLOAT:      f[0] = 90; f[1] = 102; f += 1 # Zf
 *             elif t == NPY_CDOUBLE:     f[0] = 90; f[1] = 100; f += 1 # Zd             # <<<<<<<<<<<<<<
 *             elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
 *             elif t == NPY_OBJECT:      f[0] = 79 #"O"
 */
      __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_CDOUBLE); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 851, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 851, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 851, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 90;
        (__pyx_v_f[1]) = 0x64;
        __pyx_v_f = (__pyx_v_f + 1);
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":852
 *             elif t == NPY_CFLOAT:      f[0] = 90; f[1] = 102; f += 1 # Zf
 *             elif t == NPY_CDOUBLE:     f[0] = 90; f[1] = 100; f += 1 # Zd
 *             elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg             # <<<<<<<<<<<<<<
 *             elif t == NPY_OBJECT:      f[0] = 79 #"O"
 *             else:
 */
      __pyx_t_3 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_CLONGDOUBLE); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 852, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_3);
      __pyx_t_4 = PyObject_RichCompare(__pyx_v_t, __pyx_t_3, Py_EQ); __Pyx_XGOTREF(__pyx_t_4); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 852, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_4); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 852, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      if (__pyx_t_6) {
        (__pyx_v_f[0]) = 90;
        (__pyx_v_f[1]) = 0x67;
        __pyx_v_f = (__pyx_v_f + 1);
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":853
 *             elif t == NPY_CDOUBLE:     f[0] = 90; f[1] = 100; f += 1 # Zd
 *             elif t == NPY_CLONGDOUBLE: f[0] = 90; f[1] = 103; f += 1 # Zg
 *             elif t == NPY_OBJECT:      f[0] = 79 #"O"             # <<<<<<<<<<<<<<
 *             else:
 *                 raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
 */
      __pyx_t_4 = __Pyx_PyInt_From_enum__NPY_TYPES(NPY_OBJECT); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 853, __pyx_L1_error)
      __Pyx_GOTREF(__pyx_t_4);
      __pyx_t_3 = PyObject_RichCompare(__pyx_v_t, __pyx_t_4, Py_EQ); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 853, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
      __pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely(__pyx_t_6 < 0)) __PYX_ERR(1, 853, __pyx_L1_error)
      __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
      if (likely(__pyx_t_6)) {
        (__pyx_v_f[0]) = 79;
        goto __pyx_L15;
      }

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":855
 *             elif t == NPY_OBJECT:      f[0] = 79 #"O"
 *             else:
 *                 raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)             # <<<<<<<<<<<<<<
 *             f += 1
 *         else:
 */
      /*else*/ {
        __pyx_t_3 = PyUnicode_Format(__pyx_kp_u_unknown_dtype_code_in_numpy_pxd, __pyx_v_t); if (unlikely(!__pyx_t_3)) __PYX_ERR(1, 855, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_3);
        __pyx_t_4 = __Pyx_PyObject_CallOneArg(__pyx_builtin_ValueError, __pyx_t_3); if (unlikely(!__pyx_t_4)) __PYX_ERR(1, 855, __pyx_L1_error)
        __Pyx_GOTREF(__pyx_t_4);
        __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
        __Pyx_Raise(__pyx_t_4, 0, 0, 0);
        __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;
        __PYX_ERR(1, 855, __pyx_L1_error)
      }
      __pyx_L15:;

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":856
 *             else:
 *                 raise ValueError(u"unknown dtype code in numpy.pxd (%d)" % t)
 *             f += 1             # <<<<<<<<<<<<<<
 *         else:
 *             # Cython ignores struct boundary information ("T{...}"),
 */
      __pyx_v_f = (__pyx_v_f + 1);

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":831
 *         offset[0] += child.itemsize
 * 
 *         if not PyDataType_HASFIELDS(child):             # <<<<<<<<<<<<<<
 *             t = child.type_num
 *             if end - f < 5:
 */
      goto __pyx_L13;
    }

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":860
 *             # Cython ignores struct boundary information ("T{...}"),
 *             # so don't output it
 *             f = _util_dtypestring(child, f, end, offset)             # <<<<<<<<<<<<<<
 *     return f
 * 
 */
    /*else*/ {
      __pyx_t_9 = __pyx_f_5numpy__util_dtypestring(__pyx_v_child, __pyx_v_f, __pyx_v_end, __pyx_v_offset); if (unlikely(__pyx_t_9 == ((char *)NULL))) __PYX_ERR(1, 860, __pyx_L1_error)
      __pyx_v_f = __pyx_t_9;
    }
    __pyx_L13:;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":805
 *     cdef tuple fields
 * 
 *     for childname in descr.names:             # <<<<<<<<<<<<<<
 *         fields = descr.fields[childname]
 *         child, new_offset = fields
 */
  }
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":861
 *             # so don't output it
 *             f = _util_dtypestring(child, f, end, offset)
 *     return f             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_r = __pyx_v_f;
  goto __pyx_L0;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":796
 *         return ()
 * 
 * cdef inline char* _util_dtypestring(dtype descr, char* f, char* end, int* offset) except NULL:             # <<<<<<<<<<<<<<
 *     # Recursive utility function used in __getbuffer__ to get format
 *     # string. The new location in the format string is returned.
 */

  /* function exit code */
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_AddTraceback("numpy._util_dtypestring", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = NULL;
  __pyx_L0:;
  __Pyx_XDECREF((PyObject *)__pyx_v_child);
  __Pyx_XDECREF(__pyx_v_fields);
  __Pyx_XDECREF(__pyx_v_childname);
  __Pyx_XDECREF(__pyx_v_new_offset);
  __Pyx_XDECREF(__pyx_v_t);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":977
 * 
 * 
 * cdef inline void set_array_base(ndarray arr, object base):             # <<<<<<<<<<<<<<
 *      cdef PyObject* baseptr
 *      if base is None:
 */

static CYTHON_INLINE void __pyx_f_5numpy_set_array_base(PyArrayObject *__pyx_v_arr, PyObject *__pyx_v_base) {
  PyObject *__pyx_v_baseptr;
  __Pyx_RefNannyDeclarations
  int __pyx_t_1;
  int __pyx_t_2;
  __Pyx_RefNannySetupContext("set_array_base", 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":979
 * cdef inline void set_array_base(ndarray arr, object base):
 *      cdef PyObject* baseptr
 *      if base is None:             # <<<<<<<<<<<<<<
 *          baseptr = NULL
 *      else:
 */
  __pyx_t_1 = (__pyx_v_base == Py_None);
  __pyx_t_2 = (__pyx_t_1 != 0);
  if (__pyx_t_2) {

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":980
 *      cdef PyObject* baseptr
 *      if base is None:
 *          baseptr = NULL             # <<<<<<<<<<<<<<
 *      else:
 *          Py_INCREF(base) # important to do this before decref below!
 */
    __pyx_v_baseptr = NULL;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":979
 * cdef inline void set_array_base(ndarray arr, object base):
 *      cdef PyObject* baseptr
 *      if base is None:             # <<<<<<<<<<<<<<
 *          baseptr = NULL
 *      else:
 */
    goto __pyx_L3;
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":982
 *          baseptr = NULL
 *      else:
 *          Py_INCREF(base) # important to do this before decref below!             # <<<<<<<<<<<<<<
 *          baseptr = <PyObject*>base
 *      Py_XDECREF(arr.base)
 */
  /*else*/ {
    Py_INCREF(__pyx_v_base);

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":983
 *      else:
 *          Py_INCREF(base) # important to do this before decref below!
 *          baseptr = <PyObject*>base             # <<<<<<<<<<<<<<
 *      Py_XDECREF(arr.base)
 *      arr.base = baseptr
 */
    __pyx_v_baseptr = ((PyObject *)__pyx_v_base);
  }
  __pyx_L3:;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":984
 *          Py_INCREF(base) # important to do this before decref below!
 *          baseptr = <PyObject*>base
 *      Py_XDECREF(arr.base)             # <<<<<<<<<<<<<<
 *      arr.base = baseptr
 * 
 */
  Py_XDECREF(__pyx_v_arr->base);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":985
 *          baseptr = <PyObject*>base
 *      Py_XDECREF(arr.base)
 *      arr.base = baseptr             # <<<<<<<<<<<<<<
 * 
 * cdef inline object get_array_base(ndarray arr):
 */
  __pyx_v_arr->base = __pyx_v_baseptr;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":977
 * 
 * 
 * cdef inline void set_array_base(ndarray arr, object base):             # <<<<<<<<<<<<<<
 *      cdef PyObject* baseptr
 *      if base is None:
 */

  /* function exit code */
  __Pyx_RefNannyFinishContext();
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":987
 *      arr.base = baseptr
 * 
 * cdef inline object get_array_base(ndarray arr):             # <<<<<<<<<<<<<<
 *     if arr.base is NULL:
 *         return None
 */

static CYTHON_INLINE PyObject *__pyx_f_5numpy_get_array_base(PyArrayObject *__pyx_v_arr) {
  PyObject *__pyx_r = NULL;
  __Pyx_RefNannyDeclarations
  int __pyx_t_1;
  __Pyx_RefNannySetupContext("get_array_base", 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":988
 * 
 * cdef inline object get_array_base(ndarray arr):
 *     if arr.base is NULL:             # <<<<<<<<<<<<<<
 *         return None
 *     else:
 */
  __pyx_t_1 = ((__pyx_v_arr->base == NULL) != 0);
  if (__pyx_t_1) {

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":989
 * cdef inline object get_array_base(ndarray arr):
 *     if arr.base is NULL:
 *         return None             # <<<<<<<<<<<<<<
 *     else:
 *         return <object>arr.base
 */
    __Pyx_XDECREF(__pyx_r);
    __pyx_r = Py_None; __Pyx_INCREF(Py_None);
    goto __pyx_L0;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":988
 * 
 * cdef inline object get_array_base(ndarray arr):
 *     if arr.base is NULL:             # <<<<<<<<<<<<<<
 *         return None
 *     else:
 */
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":991
 *         return None
 *     else:
 *         return <object>arr.base             # <<<<<<<<<<<<<<
 * 
 * 
 */
  /*else*/ {
    __Pyx_XDECREF(__pyx_r);
    __Pyx_INCREF(((PyObject *)__pyx_v_arr->base));
    __pyx_r = ((PyObject *)__pyx_v_arr->base);
    goto __pyx_L0;
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":987
 *      arr.base = baseptr
 * 
 * cdef inline object get_array_base(ndarray arr):             # <<<<<<<<<<<<<<
 *     if arr.base is NULL:
 *         return None
 */

  /* function exit code */
  __pyx_L0:;
  __Pyx_XGIVEREF(__pyx_r);
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":996
 * # Versions of the import_* functions which are more suitable for
 * # Cython code.
 * cdef inline int import_array() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         _import_array()
 */

static CYTHON_INLINE int __pyx_f_5numpy_import_array(void) {
  int __pyx_r;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  int __pyx_t_4;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  __Pyx_RefNannySetupContext("import_array", 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":997
 * # Cython code.
 * cdef inline int import_array() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_array()
 *     except Exception:
 */
  {
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3);
    __Pyx_XGOTREF(__pyx_t_1);
    __Pyx_XGOTREF(__pyx_t_2);
    __Pyx_XGOTREF(__pyx_t_3);
    /*try:*/ {

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":998
 * cdef inline int import_array() except -1:
 *     try:
 *         _import_array()             # <<<<<<<<<<<<<<
 *     except Exception:
 *         raise ImportError("numpy.core.multiarray failed to import")
 */
      __pyx_t_4 = _import_array(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 998, __pyx_L3_error)

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":997
 * # Cython code.
 * cdef inline int import_array() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_array()
 *     except Exception:
 */
    }
    __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
    goto __pyx_L8_try_end;
    __pyx_L3_error:;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":999
 *     try:
 *         _import_array()
 *     except Exception:             # <<<<<<<<<<<<<<
 *         raise ImportError("numpy.core.multiarray failed to import")
 * 
 */
    __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0])));
    if (__pyx_t_4) {
      __Pyx_AddTraceback("numpy.import_array", __pyx_clineno, __pyx_lineno, __pyx_filename);
      if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 999, __pyx_L5_except_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_GOTREF(__pyx_t_6);
      __Pyx_GOTREF(__pyx_t_7);

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1000
 *         _import_array()
 *     except Exception:
 *         raise ImportError("numpy.core.multiarray failed to import")             # <<<<<<<<<<<<<<
 * 
 * cdef inline int import_umath() except -1:
 */
      __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__135, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1000, __pyx_L5_except_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_Raise(__pyx_t_8, 0, 0, 0);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __PYX_ERR(1, 1000, __pyx_L5_except_error)
    }
    goto __pyx_L5_except_error;
    __pyx_L5_except_error:;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":997
 * # Cython code.
 * cdef inline int import_array() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_array()
 *     except Exception:
 */
    __Pyx_XGIVEREF(__pyx_t_1);
    __Pyx_XGIVEREF(__pyx_t_2);
    __Pyx_XGIVEREF(__pyx_t_3);
    __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3);
    goto __pyx_L1_error;
    __pyx_L8_try_end:;
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":996
 * # Versions of the import_* functions which are more suitable for
 * # Cython code.
 * cdef inline int import_array() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         _import_array()
 */

  /* function exit code */
  __pyx_r = 0;
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_AddTraceback("numpy.import_array", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = -1;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1002
 *         raise ImportError("numpy.core.multiarray failed to import")
 * 
 * cdef inline int import_umath() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         _import_umath()
 */

static CYTHON_INLINE int __pyx_f_5numpy_import_umath(void) {
  int __pyx_r;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  int __pyx_t_4;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  __Pyx_RefNannySetupContext("import_umath", 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1003
 * 
 * cdef inline int import_umath() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_umath()
 *     except Exception:
 */
  {
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3);
    __Pyx_XGOTREF(__pyx_t_1);
    __Pyx_XGOTREF(__pyx_t_2);
    __Pyx_XGOTREF(__pyx_t_3);
    /*try:*/ {

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1004
 * cdef inline int import_umath() except -1:
 *     try:
 *         _import_umath()             # <<<<<<<<<<<<<<
 *     except Exception:
 *         raise ImportError("numpy.core.umath failed to import")
 */
      __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1004, __pyx_L3_error)

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1003
 * 
 * cdef inline int import_umath() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_umath()
 *     except Exception:
 */
    }
    __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
    goto __pyx_L8_try_end;
    __pyx_L3_error:;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1005
 *     try:
 *         _import_umath()
 *     except Exception:             # <<<<<<<<<<<<<<
 *         raise ImportError("numpy.core.umath failed to import")
 * 
 */
    __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0])));
    if (__pyx_t_4) {
      __Pyx_AddTraceback("numpy.import_umath", __pyx_clineno, __pyx_lineno, __pyx_filename);
      if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 1005, __pyx_L5_except_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_GOTREF(__pyx_t_6);
      __Pyx_GOTREF(__pyx_t_7);

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1006
 *         _import_umath()
 *     except Exception:
 *         raise ImportError("numpy.core.umath failed to import")             # <<<<<<<<<<<<<<
 * 
 * cdef inline int import_ufunc() except -1:
 */
      __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__136, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1006, __pyx_L5_except_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_Raise(__pyx_t_8, 0, 0, 0);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __PYX_ERR(1, 1006, __pyx_L5_except_error)
    }
    goto __pyx_L5_except_error;
    __pyx_L5_except_error:;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1003
 * 
 * cdef inline int import_umath() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_umath()
 *     except Exception:
 */
    __Pyx_XGIVEREF(__pyx_t_1);
    __Pyx_XGIVEREF(__pyx_t_2);
    __Pyx_XGIVEREF(__pyx_t_3);
    __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3);
    goto __pyx_L1_error;
    __pyx_L8_try_end:;
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1002
 *         raise ImportError("numpy.core.multiarray failed to import")
 * 
 * cdef inline int import_umath() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         _import_umath()
 */

  /* function exit code */
  __pyx_r = 0;
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_AddTraceback("numpy.import_umath", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = -1;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

/* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1008
 *         raise ImportError("numpy.core.umath failed to import")
 * 
 * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         _import_umath()
 */

static CYTHON_INLINE int __pyx_f_5numpy_import_ufunc(void) {
  int __pyx_r;
  __Pyx_RefNannyDeclarations
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  int __pyx_t_4;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  __Pyx_RefNannySetupContext("import_ufunc", 0);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1009
 * 
 * cdef inline int import_ufunc() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_umath()
 *     except Exception:
 */
  {
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ExceptionSave(&__pyx_t_1, &__pyx_t_2, &__pyx_t_3);
    __Pyx_XGOTREF(__pyx_t_1);
    __Pyx_XGOTREF(__pyx_t_2);
    __Pyx_XGOTREF(__pyx_t_3);
    /*try:*/ {

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1010
 * cdef inline int import_ufunc() except -1:
 *     try:
 *         _import_umath()             # <<<<<<<<<<<<<<
 *     except Exception:
 *         raise ImportError("numpy.core.umath failed to import")
 */
      __pyx_t_4 = _import_umath(); if (unlikely(__pyx_t_4 == ((int)-1))) __PYX_ERR(1, 1010, __pyx_L3_error)

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1009
 * 
 * cdef inline int import_ufunc() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_umath()
 *     except Exception:
 */
    }
    __Pyx_XDECREF(__pyx_t_1); __pyx_t_1 = 0;
    __Pyx_XDECREF(__pyx_t_2); __pyx_t_2 = 0;
    __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0;
    goto __pyx_L8_try_end;
    __pyx_L3_error:;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1011
 *     try:
 *         _import_umath()
 *     except Exception:             # <<<<<<<<<<<<<<
 *         raise ImportError("numpy.core.umath failed to import")
 */
    __pyx_t_4 = __Pyx_PyErr_ExceptionMatches(((PyObject *)(&((PyTypeObject*)PyExc_Exception)[0])));
    if (__pyx_t_4) {
      __Pyx_AddTraceback("numpy.import_ufunc", __pyx_clineno, __pyx_lineno, __pyx_filename);
      if (__Pyx_GetException(&__pyx_t_5, &__pyx_t_6, &__pyx_t_7) < 0) __PYX_ERR(1, 1011, __pyx_L5_except_error)
      __Pyx_GOTREF(__pyx_t_5);
      __Pyx_GOTREF(__pyx_t_6);
      __Pyx_GOTREF(__pyx_t_7);

      /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1012
 *         _import_umath()
 *     except Exception:
 *         raise ImportError("numpy.core.umath failed to import")             # <<<<<<<<<<<<<<
 */
      __pyx_t_8 = __Pyx_PyObject_Call(__pyx_builtin_ImportError, __pyx_tuple__137, NULL); if (unlikely(!__pyx_t_8)) __PYX_ERR(1, 1012, __pyx_L5_except_error)
      __Pyx_GOTREF(__pyx_t_8);
      __Pyx_Raise(__pyx_t_8, 0, 0, 0);
      __Pyx_DECREF(__pyx_t_8); __pyx_t_8 = 0;
      __PYX_ERR(1, 1012, __pyx_L5_except_error)
    }
    goto __pyx_L5_except_error;
    __pyx_L5_except_error:;

    /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1009
 * 
 * cdef inline int import_ufunc() except -1:
 *     try:             # <<<<<<<<<<<<<<
 *         _import_umath()
 *     except Exception:
 */
    __Pyx_XGIVEREF(__pyx_t_1);
    __Pyx_XGIVEREF(__pyx_t_2);
    __Pyx_XGIVEREF(__pyx_t_3);
    __Pyx_ExceptionReset(__pyx_t_1, __pyx_t_2, __pyx_t_3);
    goto __pyx_L1_error;
    __pyx_L8_try_end:;
  }

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1008
 *         raise ImportError("numpy.core.umath failed to import")
 * 
 * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         _import_umath()
 */

  /* function exit code */
  __pyx_r = 0;
  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_AddTraceback("numpy.import_ufunc", __pyx_clineno, __pyx_lineno, __pyx_filename);
  __pyx_r = -1;
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  return __pyx_r;
}

static PyMethodDef __pyx_methods[] = {
  {0, 0, 0, 0}
};

#if PY_MAJOR_VERSION >= 3
#if CYTHON_PEP489_MULTI_PHASE_INIT
static PyObject* __pyx_pymod_create(PyObject *spec, PyModuleDef *def); /*proto*/
static int __pyx_pymod_exec_conv_lstm_model(PyObject* module); /*proto*/
static PyModuleDef_Slot __pyx_moduledef_slots[] = {
  {Py_mod_create, (void*)__pyx_pymod_create},
  {Py_mod_exec, (void*)__pyx_pymod_exec_conv_lstm_model},
  {0, NULL}
};
#endif

static struct PyModuleDef __pyx_moduledef = {
    PyModuleDef_HEAD_INIT,
    "conv_lstm_model",
    0, /* m_doc */
  #if CYTHON_PEP489_MULTI_PHASE_INIT
    0, /* m_size */
  #else
    -1, /* m_size */
  #endif
    __pyx_methods /* m_methods */,
  #if CYTHON_PEP489_MULTI_PHASE_INIT
    __pyx_moduledef_slots, /* m_slots */
  #else
    NULL, /* m_reload */
  #endif
    NULL, /* m_traverse */
    NULL, /* m_clear */
    NULL /* m_free */
};
#endif

static __Pyx_StringTabEntry __pyx_string_tab[] = {
  {&__pyx_kp_s_Best_params_are_saved, __pyx_k_Best_params_are_saved, sizeof(__pyx_k_Best_params_are_saved), 0, 0, 1, 0},
  {&__pyx_kp_s_Best_params_are_updated, __pyx_k_Best_params_are_updated, sizeof(__pyx_k_Best_params_are_updated), 0, 0, 1, 0},
  {&__pyx_n_s_CNNGraph, __pyx_k_CNNGraph, sizeof(__pyx_k_CNNGraph), 0, 0, 1, 1},
  {&__pyx_n_s_ComputableLoss, __pyx_k_ComputableLoss, sizeof(__pyx_k_ComputableLoss), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel, __pyx_k_ConvLSTMModel, sizeof(__pyx_k_ConvLSTMModel), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel___init, __pyx_k_ConvLSTMModel___init, sizeof(__pyx_k_ConvLSTMModel___init), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel___lstm_forward, __pyx_k_ConvLSTMModel___lstm_forward, sizeof(__pyx_k_ConvLSTMModel___lstm_forward), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel___remember_best_pa, __pyx_k_ConvLSTMModel___remember_best_pa, sizeof(__pyx_k_ConvLSTMModel___remember_best_pa), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__attenuate_epoch, __pyx_k_ConvLSTMModel__attenuate_epoch, sizeof(__pyx_k_ConvLSTMModel__attenuate_epoch), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__batch_size, __pyx_k_ConvLSTMModel__batch_size, sizeof(__pyx_k_ConvLSTMModel__batch_size), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__bptt_tau, __pyx_k_ConvLSTMModel__bptt_tau, sizeof(__pyx_k_ConvLSTMModel__bptt_tau), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__channel, __pyx_k_ConvLSTMModel__channel, sizeof(__pyx_k_ConvLSTMModel__channel), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__computable_loss, __pyx_k_ConvLSTMModel__computable_loss, sizeof(__pyx_k_ConvLSTMModel__computable_loss), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__cycle_len, __pyx_k_ConvLSTMModel__cycle_len, sizeof(__pyx_k_ConvLSTMModel__cycle_len), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__dropout_rate, __pyx_k_ConvLSTMModel__dropout_rate, sizeof(__pyx_k_ConvLSTMModel__dropout_rate), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__epochs, __pyx_k_ConvLSTMModel__epochs, sizeof(__pyx_k_ConvLSTMModel__epochs), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__filter_num, __pyx_k_ConvLSTMModel__filter_num, sizeof(__pyx_k_ConvLSTMModel__filter_num), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__forgot_conv, __pyx_k_ConvLSTMModel__forgot_conv, sizeof(__pyx_k_ConvLSTMModel__forgot_conv), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__given_conv, __pyx_k_ConvLSTMModel__given_conv, sizeof(__pyx_k_ConvLSTMModel__given_conv), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__graph, __pyx_k_ConvLSTMModel__graph, sizeof(__pyx_k_ConvLSTMModel__graph), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__hidden_shape, __pyx_k_ConvLSTMModel__hidden_shape, sizeof(__pyx_k_ConvLSTMModel__hidden_shape), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__input_conv, __pyx_k_ConvLSTMModel__input_conv, sizeof(__pyx_k_ConvLSTMModel__input_conv), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__latest_loss, __pyx_k_ConvLSTMModel__latest_loss, sizeof(__pyx_k_ConvLSTMModel__latest_loss), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__learned_params_l, __pyx_k_ConvLSTMModel__learned_params_l, sizeof(__pyx_k_ConvLSTMModel__learned_params_l), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__learning_attenua, __pyx_k_ConvLSTMModel__learning_attenua, sizeof(__pyx_k_ConvLSTMModel__learning_attenua), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__learning_rate, __pyx_k_ConvLSTMModel__learning_rate, sizeof(__pyx_k_ConvLSTMModel__learning_rate), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__logger, __pyx_k_ConvLSTMModel__logger, sizeof(__pyx_k_ConvLSTMModel__logger), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__lstm_forward, __pyx_k_ConvLSTMModel__lstm_forward, sizeof(__pyx_k_ConvLSTMModel__lstm_forward), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__memory_tuple_lis, __pyx_k_ConvLSTMModel__memory_tuple_lis, sizeof(__pyx_k_ConvLSTMModel__memory_tuple_lis), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__opt_params, __pyx_k_ConvLSTMModel__opt_params, sizeof(__pyx_k_ConvLSTMModel__opt_params), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__output_conv, __pyx_k_ConvLSTMModel__output_conv, sizeof(__pyx_k_ConvLSTMModel__output_conv), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__remember_best_pa, __pyx_k_ConvLSTMModel__remember_best_pa, sizeof(__pyx_k_ConvLSTMModel__remember_best_pa), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__seq_len, __pyx_k_ConvLSTMModel__seq_len, sizeof(__pyx_k_ConvLSTMModel__seq_len), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__test_size_rate, __pyx_k_ConvLSTMModel__test_size_rate, sizeof(__pyx_k_ConvLSTMModel__test_size_rate), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__tld, __pyx_k_ConvLSTMModel__tld, sizeof(__pyx_k_ConvLSTMModel__tld), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__tol, __pyx_k_ConvLSTMModel__tol, sizeof(__pyx_k_ConvLSTMModel__tol), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel__verificatable_re, __pyx_k_ConvLSTMModel__verificatable_re, sizeof(__pyx_k_ConvLSTMModel__verificatable_re), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_back_propagation, __pyx_k_ConvLSTMModel_back_propagation, sizeof(__pyx_k_ConvLSTMModel_back_propagation), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_forward_propagatio, __pyx_k_ConvLSTMModel_forward_propagatio, sizeof(__pyx_k_ConvLSTMModel_forward_propagatio), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_get_feature_points, __pyx_k_ConvLSTMModel_get_feature_points, sizeof(__pyx_k_ConvLSTMModel_get_feature_points), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_get_forgot_conv, __pyx_k_ConvLSTMModel_get_forgot_conv, sizeof(__pyx_k_ConvLSTMModel_get_forgot_conv), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_get_given_conv, __pyx_k_ConvLSTMModel_get_given_conv, sizeof(__pyx_k_ConvLSTMModel_get_given_conv), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_get_graph, __pyx_k_ConvLSTMModel_get_graph, sizeof(__pyx_k_ConvLSTMModel_get_graph), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_get_input_conv, __pyx_k_ConvLSTMModel_get_input_conv, sizeof(__pyx_k_ConvLSTMModel_get_input_conv), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_get_opt_params, __pyx_k_ConvLSTMModel_get_opt_params, sizeof(__pyx_k_ConvLSTMModel_get_opt_params), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_get_output_conv, __pyx_k_ConvLSTMModel_get_output_conv, sizeof(__pyx_k_ConvLSTMModel_get_output_conv), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_get_verificatable, __pyx_k_ConvLSTMModel_get_verificatable, sizeof(__pyx_k_ConvLSTMModel_get_verificatable), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_hidden_back_propag, __pyx_k_ConvLSTMModel_hidden_back_propag, sizeof(__pyx_k_ConvLSTMModel_hidden_back_propag), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_hidden_forward_pro, __pyx_k_ConvLSTMModel_hidden_forward_pro, sizeof(__pyx_k_ConvLSTMModel_hidden_forward_pro), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_inference, __pyx_k_ConvLSTMModel_inference, sizeof(__pyx_k_ConvLSTMModel_inference), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_learn, __pyx_k_ConvLSTMModel_learn, sizeof(__pyx_k_ConvLSTMModel_learn), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_learn_generated, __pyx_k_ConvLSTMModel_learn_generated, sizeof(__pyx_k_ConvLSTMModel_learn_generated), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_load_pre_learned_p, __pyx_k_ConvLSTMModel_load_pre_learned_p, sizeof(__pyx_k_ConvLSTMModel_load_pre_learned_p), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_lstm_backward, __pyx_k_ConvLSTMModel_lstm_backward, sizeof(__pyx_k_ConvLSTMModel_lstm_backward), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_optimize, __pyx_k_ConvLSTMModel_optimize, sizeof(__pyx_k_ConvLSTMModel_optimize), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_output_back_propag, __pyx_k_ConvLSTMModel_output_back_propag, sizeof(__pyx_k_ConvLSTMModel_output_back_propag), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_output_forward_pro, __pyx_k_ConvLSTMModel_output_forward_pro, sizeof(__pyx_k_ConvLSTMModel_output_forward_pro), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_save_pre_learned_p, __pyx_k_ConvLSTMModel_save_pre_learned_p, sizeof(__pyx_k_ConvLSTMModel_save_pre_learned_p), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_set_forgot_conv, __pyx_k_ConvLSTMModel_set_forgot_conv, sizeof(__pyx_k_ConvLSTMModel_set_forgot_conv), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_set_given_conv, __pyx_k_ConvLSTMModel_set_given_conv, sizeof(__pyx_k_ConvLSTMModel_set_given_conv), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_set_graph, __pyx_k_ConvLSTMModel_set_graph, sizeof(__pyx_k_ConvLSTMModel_set_graph), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_set_input_conv, __pyx_k_ConvLSTMModel_set_input_conv, sizeof(__pyx_k_ConvLSTMModel_set_input_conv), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_set_opt_params, __pyx_k_ConvLSTMModel_set_opt_params, sizeof(__pyx_k_ConvLSTMModel_set_opt_params), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_set_output_conv, __pyx_k_ConvLSTMModel_set_output_conv, sizeof(__pyx_k_ConvLSTMModel_set_output_conv), 0, 0, 1, 1},
  {&__pyx_n_s_ConvLSTMModel_set_verificatable, __pyx_k_ConvLSTMModel_set_verificatable, sizeof(__pyx_k_ConvLSTMModel_set_verificatable), 0, 0, 1, 1},
  {&__pyx_n_s_ConvolutionLayer, __pyx_k_ConvolutionLayer, sizeof(__pyx_k_ConvolutionLayer), 0, 0, 1, 1},
  {&__pyx_kp_s_Convolutional_LSTM_ConvLSTM_Con, __pyx_k_Convolutional_LSTM_ConvLSTM_Con, sizeof(__pyx_k_Convolutional_LSTM_ConvLSTM_Con), 0, 0, 1, 0},
  {&__pyx_kp_s_Eary_stopping, __pyx_k_Eary_stopping, sizeof(__pyx_k_Eary_stopping), 0, 0, 1, 0},
  {&__pyx_n_s_FeatureGenerator, __pyx_k_FeatureGenerator, sizeof(__pyx_k_FeatureGenerator), 0, 0, 1, 1},
  {&__pyx_n_s_FloatingPointError, __pyx_k_FloatingPointError, sizeof(__pyx_k_FloatingPointError), 0, 0, 1, 1},
  {&__pyx_n_s_ForgotGraph, __pyx_k_ForgotGraph, sizeof(__pyx_k_ForgotGraph), 0, 0, 1, 1},
  {&__pyx_kp_u_Format_string_allocated_too_shor, __pyx_k_Format_string_allocated_too_shor, sizeof(__pyx_k_Format_string_allocated_too_shor), 0, 1, 0, 0},
  {&__pyx_kp_u_Format_string_allocated_too_shor_2, __pyx_k_Format_string_allocated_too_shor_2, sizeof(__pyx_k_Format_string_allocated_too_shor_2), 0, 1, 0, 0},
  {&__pyx_n_s_GivenGraph, __pyx_k_GivenGraph, sizeof(__pyx_k_GivenGraph), 0, 0, 1, 1},
  {&__pyx_n_s_ImportError, __pyx_k_ImportError, sizeof(__pyx_k_ImportError), 0, 0, 1, 1},
  {&__pyx_n_s_InputGraph, __pyx_k_InputGraph, sizeof(__pyx_k_InputGraph), 0, 0, 1, 1},
  {&__pyx_kp_s_Interrupt, __pyx_k_Interrupt, sizeof(__pyx_k_Interrupt), 0, 0, 1, 0},
  {&__pyx_n_s_KeyboardInterrupt, __pyx_k_KeyboardInterrupt, sizeof(__pyx_k_KeyboardInterrupt), 0, 0, 1, 1},
  {&__pyx_n_s_LogisticFunction, __pyx_k_LogisticFunction, sizeof(__pyx_k_LogisticFunction), 0, 0, 1, 1},
  {&__pyx_kp_u_Non_native_byte_order_not_suppor, __pyx_k_Non_native_byte_order_not_suppor, sizeof(__pyx_k_Non_native_byte_order_not_suppor), 0, 1, 0, 0},
  {&__pyx_n_s_OptParams, __pyx_k_OptParams, sizeof(__pyx_k_OptParams), 0, 0, 1, 1},
  {&__pyx_n_s_OutputGraph, __pyx_k_OutputGraph, sizeof(__pyx_k_OutputGraph), 0, 0, 1, 1},
  {&__pyx_n_s_ReconstructableModel, __pyx_k_ReconstructableModel, sizeof(__pyx_k_ReconstructableModel), 0, 0, 1, 1},
  {&__pyx_n_s_RuntimeError, __pyx_k_RuntimeError, sizeof(__pyx_k_RuntimeError), 0, 0, 1, 1},
  {&__pyx_n_s_Synapse, __pyx_k_Synapse, sizeof(__pyx_k_Synapse), 0, 0, 1, 1},
  {&__pyx_n_s_TanhFunction, __pyx_k_TanhFunction, sizeof(__pyx_k_TanhFunction), 0, 0, 1, 1},
  {&__pyx_kp_s_The_row_of_target_arr_must_be_eq, __pyx_k_The_row_of_target_arr_must_be_eq, sizeof(__pyx_k_The_row_of_target_arr_must_be_eq), 0, 0, 1, 0},
  {&__pyx_kp_s_The_type_of_feature_generator_mu, __pyx_k_The_type_of_feature_generator_mu, sizeof(__pyx_k_The_type_of_feature_generator_mu), 0, 0, 1, 0},
  {&__pyx_n_s_TypeError, __pyx_k_TypeError, sizeof(__pyx_k_TypeError), 0, 0, 1, 1},
  {&__pyx_kp_s_Underflow_occurred_when_the_para, __pyx_k_Underflow_occurred_when_the_para, sizeof(__pyx_k_Underflow_occurred_when_the_para), 0, 0, 1, 0},
  {&__pyx_n_s_ValueError, __pyx_k_ValueError, sizeof(__pyx_k_ValueError), 0, 0, 1, 1},
  {&__pyx_n_s_VerificatableResult, __pyx_k_VerificatableResult, sizeof(__pyx_k_VerificatableResult), 0, 0, 1, 1},
  {&__pyx_kp_s__125, __pyx_k__125, sizeof(__pyx_k__125), 0, 0, 1, 0},
  {&__pyx_kp_s__126, __pyx_k__126, sizeof(__pyx_k__126), 0, 0, 1, 0},
  {&__pyx_n_s__152, __pyx_k__152, sizeof(__pyx_k__152), 0, 0, 1, 1},
  {&__pyx_n_s_activate, __pyx_k_activate, sizeof(__pyx_k_activate), 0, 0, 1, 1},
  {&__pyx_n_s_activation_function, __pyx_k_activation_function, sizeof(__pyx_k_activation_function), 0, 0, 1, 1},
  {&__pyx_n_s_append, __pyx_k_append, sizeof(__pyx_k_append), 0, 0, 1, 1},
  {&__pyx_n_s_arr, __pyx_k_arr, sizeof(__pyx_k_arr), 0, 0, 1, 1},
  {&__pyx_n_s_array, __pyx_k_array, sizeof(__pyx_k_array), 0, 0, 1, 1},
  {&__pyx_n_s_attenuate_epoch, __pyx_k_attenuate_epoch, sizeof(__pyx_k_attenuate_epoch), 0, 0, 1, 1},
  {&__pyx_n_s_axis, __pyx_k_axis, sizeof(__pyx_k_axis), 0, 0, 1, 1},
  {&__pyx_n_s_back_propagate, __pyx_k_back_propagate, sizeof(__pyx_k_back_propagate), 0, 0, 1, 1},
  {&__pyx_n_s_back_propagation, __pyx_k_back_propagation, sizeof(__pyx_k_back_propagation), 0, 0, 1, 1},
  {&__pyx_n_s_batch_index, __pyx_k_batch_index, sizeof(__pyx_k_batch_index), 0, 0, 1, 1},
  {&__pyx_n_s_batch_norm, __pyx_k_batch_norm, sizeof(__pyx_k_batch_norm), 0, 0, 1, 1},
  {&__pyx_n_s_batch_observed_arr, __pyx_k_batch_observed_arr, sizeof(__pyx_k_batch_observed_arr), 0, 0, 1, 1},
  {&__pyx_n_s_batch_size, __pyx_k_batch_size, sizeof(__pyx_k_batch_size), 0, 0, 1, 1},
  {&__pyx_n_s_batch_target_arr, __pyx_k_batch_target_arr, sizeof(__pyx_k_batch_target_arr), 0, 0, 1, 1},
  {&__pyx_n_s_best_params_list, __pyx_k_best_params_list, sizeof(__pyx_k_best_params_list), 0, 0, 1, 1},
  {&__pyx_n_s_beta_arr, __pyx_k_beta_arr, sizeof(__pyx_k_beta_arr), 0, 0, 1, 1},
  {&__pyx_n_s_bias_arr, __pyx_k_bias_arr, sizeof(__pyx_k_bias_arr), 0, 0, 1, 1},
  {&__pyx_n_s_bp_count, __pyx_k_bp_count, sizeof(__pyx_k_bp_count), 0, 0, 1, 1},
  {&__pyx_n_s_bptt_tau, __pyx_k_bptt_tau, sizeof(__pyx_k_bptt_tau), 0, 0, 1, 1},
  {&__pyx_n_s_cec_activity_arr, __pyx_k_cec_activity_arr, sizeof(__pyx_k_cec_activity_arr), 0, 0, 1, 1},
  {&__pyx_n_s_cec_activity_arr_2, __pyx_k_cec_activity_arr_2, sizeof(__pyx_k_cec_activity_arr_2), 0, 0, 1, 1},
  {&__pyx_n_s_channel, __pyx_k_channel, sizeof(__pyx_k_channel), 0, 0, 1, 1},
  {&__pyx_n_s_choice, __pyx_k_choice, sizeof(__pyx_k_choice), 0, 0, 1, 1},
  {&__pyx_n_s_cline_in_traceback, __pyx_k_cline_in_traceback, sizeof(__pyx_k_cline_in_traceback), 0, 0, 1, 1},
  {&__pyx_n_s_computable_loss, __pyx_k_computable_loss, sizeof(__pyx_k_computable_loss), 0, 0, 1, 1},
  {&__pyx_n_s_compute_delta, __pyx_k_compute_delta, sizeof(__pyx_k_compute_delta), 0, 0, 1, 1},
  {&__pyx_n_s_compute_loss, __pyx_k_compute_loss, sizeof(__pyx_k_compute_loss), 0, 0, 1, 1},
  {&__pyx_n_s_compute_weight_decay, __pyx_k_compute_weight_decay, sizeof(__pyx_k_compute_weight_decay), 0, 0, 1, 1},
  {&__pyx_n_s_compute_weight_decay_delta, __pyx_k_compute_weight_decay_delta, sizeof(__pyx_k_compute_weight_decay_delta), 0, 0, 1, 1},
  {&__pyx_n_s_constrain_weight, __pyx_k_constrain_weight, sizeof(__pyx_k_constrain_weight), 0, 0, 1, 1},
  {&__pyx_kp_s_conv_lstm_forgot_graph_npz, __pyx_k_conv_lstm_forgot_graph_npz, sizeof(__pyx_k_conv_lstm_forgot_graph_npz), 0, 0, 1, 0},
  {&__pyx_kp_s_conv_lstm_given_graph_npz, __pyx_k_conv_lstm_given_graph_npz, sizeof(__pyx_k_conv_lstm_given_graph_npz), 0, 0, 1, 0},
  {&__pyx_n_s_conv_lstm_graph, __pyx_k_conv_lstm_graph, sizeof(__pyx_k_conv_lstm_graph), 0, 0, 1, 1},
  {&__pyx_kp_s_conv_lstm_graph_npz, __pyx_k_conv_lstm_graph_npz, sizeof(__pyx_k_conv_lstm_graph_npz), 0, 0, 1, 0},
  {&__pyx_kp_s_conv_lstm_input_graph_npz, __pyx_k_conv_lstm_input_graph_npz, sizeof(__pyx_k_conv_lstm_input_graph_npz), 0, 0, 1, 0},
  {&__pyx_kp_s_conv_lstm_output_graph_npz, __pyx_k_conv_lstm_output_graph_npz, sizeof(__pyx_k_conv_lstm_output_graph_npz), 0, 0, 1, 0},
  {&__pyx_n_s_copy, __pyx_k_copy, sizeof(__pyx_k_copy), 0, 0, 1, 1},
  {&__pyx_n_s_cycle, __pyx_k_cycle, sizeof(__pyx_k_cycle), 0, 0, 1, 1},
  {&__pyx_n_s_cycle_len, __pyx_k_cycle_len, sizeof(__pyx_k_cycle_len), 0, 0, 1, 1},
  {&__pyx_n_s_de_dropout, __pyx_k_de_dropout, sizeof(__pyx_k_de_dropout), 0, 0, 1, 1},
  {&__pyx_n_s_debug, __pyx_k_debug, sizeof(__pyx_k_debug), 0, 0, 1, 1},
  {&__pyx_n_s_delta_arr, __pyx_k_delta_arr, sizeof(__pyx_k_delta_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_arr_2, __pyx_k_delta_arr_2, sizeof(__pyx_k_delta_arr_2), 0, 0, 1, 1},
  {&__pyx_n_s_delta_beta_arr, __pyx_k_delta_beta_arr, sizeof(__pyx_k_delta_beta_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_bias_arr, __pyx_k_delta_bias_arr, sizeof(__pyx_k_delta_bias_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_cec_arr, __pyx_k_delta_cec_arr, sizeof(__pyx_k_delta_cec_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_forget_gate_arr, __pyx_k_delta_forget_gate_arr, sizeof(__pyx_k_delta_forget_gate_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_gamma_arr, __pyx_k_delta_gamma_arr, sizeof(__pyx_k_delta_gamma_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_given_arr, __pyx_k_delta_given_arr, sizeof(__pyx_k_delta_given_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_hidden_arr, __pyx_k_delta_hidden_arr, sizeof(__pyx_k_delta_hidden_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_input_gate_arr, __pyx_k_delta_input_gate_arr, sizeof(__pyx_k_delta_input_gate_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_output_arr, __pyx_k_delta_output_arr, sizeof(__pyx_k_delta_output_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_output_gate_arr, __pyx_k_delta_output_gate_arr, sizeof(__pyx_k_delta_output_gate_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_pre_hidden_arr, __pyx_k_delta_pre_hidden_arr, sizeof(__pyx_k_delta_pre_hidden_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_pre_rnn_arr, __pyx_k_delta_pre_rnn_arr, sizeof(__pyx_k_delta_pre_rnn_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_top_arr, __pyx_k_delta_top_arr, sizeof(__pyx_k_delta_top_arr), 0, 0, 1, 1},
  {&__pyx_n_s_delta_weight_arr, __pyx_k_delta_weight_arr, sizeof(__pyx_k_delta_weight_arr), 0, 0, 1, 1},
  {&__pyx_n_s_derivative, __pyx_k_derivative, sizeof(__pyx_k_derivative), 0, 0, 1, 1},
  {&__pyx_n_s_dir_name, __pyx_k_dir_name, sizeof(__pyx_k_dir_name), 0, 0, 1, 1},
  {&__pyx_n_s_doc, __pyx_k_doc, sizeof(__pyx_k_doc), 0, 0, 1, 1},
  {&__pyx_n_s_dropout, __pyx_k_dropout, sizeof(__pyx_k_dropout), 0, 0, 1, 1},
  {&__pyx_n_s_dropout_rate, __pyx_k_dropout_rate, sizeof(__pyx_k_dropout_rate), 0, 0, 1, 1},
  {&__pyx_n_s_dtype, __pyx_k_dtype, sizeof(__pyx_k_dtype), 0, 0, 1, 1},
  {&__pyx_n_s_eary_stop_flag, __pyx_k_eary_stop_flag, sizeof(__pyx_k_eary_stop_flag), 0, 0, 1, 1},
  {&__pyx_n_s_empty, __pyx_k_empty, sizeof(__pyx_k_empty), 0, 0, 1, 1},
  {&__pyx_kp_s_end, __pyx_k_end, sizeof(__pyx_k_end), 0, 0, 1, 0},
  {&__pyx_n_s_epoch, __pyx_k_epoch, sizeof(__pyx_k_epoch), 0, 0, 1, 1},
  {&__pyx_n_s_epochs, __pyx_k_epochs, sizeof(__pyx_k_epochs), 0, 0, 1, 1},
  {&__pyx_n_s_expand_dims, __pyx_k_expand_dims, sizeof(__pyx_k_expand_dims), 0, 0, 1, 1},
  {&__pyx_n_s_feature_generator, __pyx_k_feature_generator, sizeof(__pyx_k_feature_generator), 0, 0, 1, 1},
  {&__pyx_n_s_file_name, __pyx_k_file_name, sizeof(__pyx_k_file_name), 0, 0, 1, 1},
  {&__pyx_n_s_filter_num, __pyx_k_filter_num, sizeof(__pyx_k_filter_num), 0, 0, 1, 1},
  {&__pyx_n_s_float64, __pyx_k_float64, sizeof(__pyx_k_float64), 0, 0, 1, 1},
  {&__pyx_n_s_forget_gate_activity_arr, __pyx_k_forget_gate_activity_arr, sizeof(__pyx_k_forget_gate_activity_arr), 0, 0, 1, 1},
  {&__pyx_n_s_forgot, __pyx_k_forgot, sizeof(__pyx_k_forgot), 0, 0, 1, 1},
  {&__pyx_n_s_forgot_conv, __pyx_k_forgot_conv, sizeof(__pyx_k_forgot_conv), 0, 0, 1, 1},
  {&__pyx_n_s_forward_propagate, __pyx_k_forward_propagate, sizeof(__pyx_k_forward_propagate), 0, 0, 1, 1},
  {&__pyx_n_s_forward_propagation, __pyx_k_forward_propagation, sizeof(__pyx_k_forward_propagation), 0, 0, 1, 1},
  {&__pyx_n_s_gamma_arr, __pyx_k_gamma_arr, sizeof(__pyx_k_gamma_arr), 0, 0, 1, 1},
  {&__pyx_n_s_generate, __pyx_k_generate, sizeof(__pyx_k_generate), 0, 0, 1, 1},
  {&__pyx_n_s_getLogger, __pyx_k_getLogger, sizeof(__pyx_k_getLogger), 0, 0, 1, 1},
  {&__pyx_n_s_get_feature_points, __pyx_k_get_feature_points, sizeof(__pyx_k_get_feature_points), 0, 0, 1, 1},
  {&__pyx_n_s_get_forgot_conv, __pyx_k_get_forgot_conv, sizeof(__pyx_k_get_forgot_conv), 0, 0, 1, 1},
  {&__pyx_n_s_get_given_conv, __pyx_k_get_given_conv, sizeof(__pyx_k_get_given_conv), 0, 0, 1, 1},
  {&__pyx_n_s_get_graph, __pyx_k_get_graph, sizeof(__pyx_k_get_graph), 0, 0, 1, 1},
  {&__pyx_n_s_get_input_conv, __pyx_k_get_input_conv, sizeof(__pyx_k_get_input_conv), 0, 0, 1, 1},
  {&__pyx_n_s_get_opt_params, __pyx_k_get_opt_params, sizeof(__pyx_k_get_opt_params), 0, 0, 1, 1},
  {&__pyx_n_s_get_output_conv, __pyx_k_get_output_conv, sizeof(__pyx_k_get_output_conv), 0, 0, 1, 1},
  {&__pyx_n_s_get_verificatable_result, __pyx_k_get_verificatable_result, sizeof(__pyx_k_get_verificatable_result), 0, 0, 1, 1},
  {&__pyx_n_s_given, __pyx_k_given, sizeof(__pyx_k_given), 0, 0, 1, 1},
  {&__pyx_n_s_given_activity_arr, __pyx_k_given_activity_arr, sizeof(__pyx_k_given_activity_arr), 0, 0, 1, 1},
  {&__pyx_n_s_given_conv, __pyx_k_given_conv, sizeof(__pyx_k_given_conv), 0, 0, 1, 1},
  {&__pyx_n_s_grads_list, __pyx_k_grads_list, sizeof(__pyx_k_grads_list), 0, 0, 1, 1},
  {&__pyx_n_s_graph, __pyx_k_graph, sizeof(__pyx_k_graph), 0, 0, 1, 1},
  {&__pyx_n_s_height, __pyx_k_height, sizeof(__pyx_k_height), 0, 0, 1, 1},
  {&__pyx_n_s_hidden_activating_function, __pyx_k_hidden_activating_function, sizeof(__pyx_k_hidden_activating_function), 0, 0, 1, 1},
  {&__pyx_n_s_hidden_activity_arr, __pyx_k_hidden_activity_arr, sizeof(__pyx_k_hidden_activity_arr), 0, 0, 1, 1},
  {&__pyx_n_s_hidden_activity_arr_2, __pyx_k_hidden_activity_arr_2, sizeof(__pyx_k_hidden_activity_arr_2), 0, 0, 1, 1},
  {&__pyx_n_s_hidden_back_propagate, __pyx_k_hidden_back_propagate, sizeof(__pyx_k_hidden_back_propagate), 0, 0, 1, 1},
  {&__pyx_n_s_hidden_forward_propagate, __pyx_k_hidden_forward_propagate, sizeof(__pyx_k_hidden_forward_propagate), 0, 0, 1, 1},
  {&__pyx_n_s_import, __pyx_k_import, sizeof(__pyx_k_import), 0, 0, 1, 1},
  {&__pyx_n_s_inference, __pyx_k_inference, sizeof(__pyx_k_inference), 0, 0, 1, 1},
  {&__pyx_n_s_inferencing_mode, __pyx_k_inferencing_mode, sizeof(__pyx_k_inferencing_mode), 0, 0, 1, 1},
  {&__pyx_n_s_init, __pyx_k_init, sizeof(__pyx_k_init), 0, 0, 1, 1},
  {&__pyx_n_s_input, __pyx_k_input, sizeof(__pyx_k_input), 0, 0, 1, 1},
  {&__pyx_n_s_input_conv, __pyx_k_input_conv, sizeof(__pyx_k_input_conv), 0, 0, 1, 1},
  {&__pyx_n_s_input_gate_activity_arr, __pyx_k_input_gate_activity_arr, sizeof(__pyx_k_input_gate_activity_arr), 0, 0, 1, 1},
  {&__pyx_n_s_kernel_size, __pyx_k_kernel_size, sizeof(__pyx_k_kernel_size), 0, 0, 1, 1},
  {&__pyx_n_s_learn, __pyx_k_learn, sizeof(__pyx_k_learn), 0, 0, 1, 1},
  {&__pyx_n_s_learn_generated, __pyx_k_learn_generated, sizeof(__pyx_k_learn_generated), 0, 0, 1, 1},
  {&__pyx_n_s_learning_attenuate_rate, __pyx_k_learning_attenuate_rate, sizeof(__pyx_k_learning_attenuate_rate), 0, 0, 1, 1},
  {&__pyx_n_s_learning_rate, __pyx_k_learning_rate, sizeof(__pyx_k_learning_rate), 0, 0, 1, 1},
  {&__pyx_n_s_load_pre_learned_params, __pyx_k_load_pre_learned_params, sizeof(__pyx_k_load_pre_learned_params), 0, 0, 1, 1},
  {&__pyx_n_s_logger, __pyx_k_logger, sizeof(__pyx_k_logger), 0, 0, 1, 1},
  {&__pyx_n_s_logging, __pyx_k_logging, sizeof(__pyx_k_logging), 0, 0, 1, 1},
  {&__pyx_n_s_loss, __pyx_k_loss, sizeof(__pyx_k_loss), 0, 0, 1, 1},
  {&__pyx_n_s_loss_list, __pyx_k_loss_list, sizeof(__pyx_k_loss_list), 0, 0, 1, 1},
  {&__pyx_n_s_lstm_backward, __pyx_k_lstm_backward, sizeof(__pyx_k_lstm_backward), 0, 0, 1, 1},
  {&__pyx_n_s_lstm_forward, __pyx_k_lstm_forward, sizeof(__pyx_k_lstm_forward), 0, 0, 1, 1},
  {&__pyx_n_s_main, __pyx_k_main, sizeof(__pyx_k_main), 0, 0, 1, 1},
  {&__pyx_n_s_metaclass, __pyx_k_metaclass, sizeof(__pyx_k_metaclass), 0, 0, 1, 1},
  {&__pyx_n_s_min_loss, __pyx_k_min_loss, sizeof(__pyx_k_min_loss), 0, 0, 1, 1},
  {&__pyx_n_s_module, __pyx_k_module, sizeof(__pyx_k_module), 0, 0, 1, 1},
  {&__pyx_n_s_nanprod, __pyx_k_nanprod, sizeof(__pyx_k_nanprod), 0, 0, 1, 1},
  {&__pyx_n_s_nansum, __pyx_k_nansum, sizeof(__pyx_k_nansum), 0, 0, 1, 1},
  {&__pyx_kp_u_ndarray_is_not_C_contiguous, __pyx_k_ndarray_is_not_C_contiguous, sizeof(__pyx_k_ndarray_is_not_C_contiguous), 0, 1, 0, 0},
  {&__pyx_kp_u_ndarray_is_not_Fortran_contiguou, __pyx_k_ndarray_is_not_Fortran_contiguou, sizeof(__pyx_k_ndarray_is_not_Fortran_contiguou), 0, 1, 0, 0},
  {&__pyx_n_s_ndim, __pyx_k_ndim, sizeof(__pyx_k_ndim), 0, 0, 1, 1},
  {&__pyx_n_s_np, __pyx_k_np, sizeof(__pyx_k_np), 0, 0, 1, 1},
  {&__pyx_kp_s_npz, __pyx_k_npz, sizeof(__pyx_k_npz), 0, 0, 1, 0},
  {&__pyx_n_s_numpy, __pyx_k_numpy, sizeof(__pyx_k_numpy), 0, 0, 1, 1},
  {&__pyx_kp_s_numpy_core_multiarray_failed_to, __pyx_k_numpy_core_multiarray_failed_to, sizeof(__pyx_k_numpy_core_multiarray_failed_to), 0, 0, 1, 0},
  {&__pyx_kp_s_numpy_core_umath_failed_to_impor, __pyx_k_numpy_core_umath_failed_to_impor, sizeof(__pyx_k_numpy_core_umath_failed_to_impor), 0, 0, 1, 0},
  {&__pyx_n_s_observed_arr, __pyx_k_observed_arr, sizeof(__pyx_k_observed_arr), 0, 0, 1, 1},
  {&__pyx_n_s_opt_params, __pyx_k_opt_params, sizeof(__pyx_k_opt_params), 0, 0, 1, 1},
  {&__pyx_n_s_optimize, __pyx_k_optimize, sizeof(__pyx_k_optimize), 0, 0, 1, 1},
  {&__pyx_n_s_output, __pyx_k_output, sizeof(__pyx_k_output), 0, 0, 1, 1},
  {&__pyx_n_s_output_back_propagate, __pyx_k_output_back_propagate, sizeof(__pyx_k_output_back_propagate), 0, 0, 1, 1},
  {&__pyx_n_s_output_conv, __pyx_k_output_conv, sizeof(__pyx_k_output_conv), 0, 0, 1, 1},
  {&__pyx_n_s_output_forward_propagate, __pyx_k_output_forward_propagate, sizeof(__pyx_k_output_forward_propagate), 0, 0, 1, 1},
  {&__pyx_n_s_output_gate_activity_arr, __pyx_k_output_gate_activity_arr, sizeof(__pyx_k_output_gate_activity_arr), 0, 0, 1, 1},
  {&__pyx_n_s_pad, __pyx_k_pad, sizeof(__pyx_k_pad), 0, 0, 1, 1},
  {&__pyx_n_s_params_list, __pyx_k_params_list, sizeof(__pyx_k_params_list), 0, 0, 1, 1},
  {&__pyx_n_s_pop, __pyx_k_pop, sizeof(__pyx_k_pop), 0, 0, 1, 1},
  {&__pyx_n_s_pre_cec_activity_arr, __pyx_k_pre_cec_activity_arr, sizeof(__pyx_k_pre_cec_activity_arr), 0, 0, 1, 1},
  {&__pyx_n_s_pre_learned_dir, __pyx_k_pre_learned_dir, sizeof(__pyx_k_pre_learned_dir), 0, 0, 1, 1},
  {&__pyx_n_s_pred_arr, __pyx_k_pred_arr, sizeof(__pyx_k_pred_arr), 0, 0, 1, 1},
  {&__pyx_n_s_prepare, __pyx_k_prepare, sizeof(__pyx_k_prepare), 0, 0, 1, 1},
  {&__pyx_n_s_property, __pyx_k_property, sizeof(__pyx_k_property), 0, 0, 1, 1},
  {&__pyx_n_s_pydbm, __pyx_k_pydbm, sizeof(__pyx_k_pydbm), 0, 0, 1, 1},
  {&__pyx_n_s_pydbm_activation_logistic_functi, __pyx_k_pydbm_activation_logistic_functi, sizeof(__pyx_k_pydbm_activation_logistic_functi), 0, 0, 1, 1},
  {&__pyx_n_s_pydbm_activation_tanh_function, __pyx_k_pydbm_activation_tanh_function, sizeof(__pyx_k_pydbm_activation_tanh_function), 0, 0, 1, 1},
  {&__pyx_n_s_pydbm_cnn_feature_generator, __pyx_k_pydbm_cnn_feature_generator, sizeof(__pyx_k_pydbm_cnn_feature_generator), 0, 0, 1, 1},
  {&__pyx_n_s_pydbm_cnn_layerablecnn_convoluti, __pyx_k_pydbm_cnn_layerablecnn_convoluti, sizeof(__pyx_k_pydbm_cnn_layerablecnn_convoluti), 0, 0, 1, 1},
  {&__pyx_n_s_pydbm_loss_interface_computable, __pyx_k_pydbm_loss_interface_computable, sizeof(__pyx_k_pydbm_loss_interface_computable), 0, 0, 1, 1},
  {&__pyx_n_s_pydbm_optimization_opt_params, __pyx_k_pydbm_optimization_opt_params, sizeof(__pyx_k_pydbm_optimization_opt_params), 0, 0, 1, 1},
  {&__pyx_n_s_pydbm_rnn_interface_reconstructa, __pyx_k_pydbm_rnn_interface_reconstructa, sizeof(__pyx_k_pydbm_rnn_interface_reconstructa), 0, 0, 1, 1},
  {&__pyx_kp_s_pydbm_rnn_lstm_model_learn_is_st, __pyx_k_pydbm_rnn_lstm_model_learn_is_st, sizeof(__pyx_k_pydbm_rnn_lstm_model_learn_is_st), 0, 0, 1, 0},
  {&__pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_k_pydbm_rnn_lstmmodel_conv_lstm_mo, sizeof(__pyx_k_pydbm_rnn_lstmmodel_conv_lstm_mo), 0, 0, 1, 1},
  {&__pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_k_pydbm_rnn_lstmmodel_conv_lstm_mo_2, sizeof(__pyx_k_pydbm_rnn_lstmmodel_conv_lstm_mo_2), 0, 0, 1, 0},
  {&__pyx_n_s_pydbm_synapse_cnn_graph, __pyx_k_pydbm_synapse_cnn_graph, sizeof(__pyx_k_pydbm_synapse_cnn_graph), 0, 0, 1, 1},
  {&__pyx_n_s_pydbm_synapse_list, __pyx_k_pydbm_synapse_list, sizeof(__pyx_k_pydbm_synapse_list), 0, 0, 1, 1},
  {&__pyx_n_s_pydbm_verification_interface_ver, __pyx_k_pydbm_verification_interface_ver, sizeof(__pyx_k_pydbm_verification_interface_ver), 0, 0, 1, 1},
  {&__pyx_n_s_qualname, __pyx_k_qualname, sizeof(__pyx_k_qualname), 0, 0, 1, 1},
  {&__pyx_n_s_rand_index, __pyx_k_rand_index, sizeof(__pyx_k_rand_index), 0, 0, 1, 1},
  {&__pyx_n_s_random, __pyx_k_random, sizeof(__pyx_k_random), 0, 0, 1, 1},
  {&__pyx_n_s_range, __pyx_k_range, sizeof(__pyx_k_range), 0, 0, 1, 1},
  {&__pyx_n_s_remember_best_params, __pyx_k_remember_best_params, sizeof(__pyx_k_remember_best_params), 0, 0, 1, 1},
  {&__pyx_n_s_remember_flag, __pyx_k_remember_flag, sizeof(__pyx_k_remember_flag), 0, 0, 1, 1},
  {&__pyx_n_s_repeat, __pyx_k_repeat, sizeof(__pyx_k_repeat), 0, 0, 1, 1},
  {&__pyx_n_s_replace, __pyx_k_replace, sizeof(__pyx_k_replace), 0, 0, 1, 1},
  {&__pyx_n_s_reset_delta, __pyx_k_reset_delta, sizeof(__pyx_k_reset_delta), 0, 0, 1, 1},
  {&__pyx_n_s_reshape, __pyx_k_reshape, sizeof(__pyx_k_reshape), 0, 0, 1, 1},
  {&__pyx_n_s_reversed, __pyx_k_reversed, sizeof(__pyx_k_reversed), 0, 0, 1, 1},
  {&__pyx_n_s_round, __pyx_k_round, sizeof(__pyx_k_round), 0, 0, 1, 1},
  {&__pyx_n_s_row_o, __pyx_k_row_o, sizeof(__pyx_k_row_o), 0, 0, 1, 1},
  {&__pyx_n_s_row_t, __pyx_k_row_t, sizeof(__pyx_k_row_t), 0, 0, 1, 1},
  {&__pyx_n_s_sample_n, __pyx_k_sample_n, sizeof(__pyx_k_sample_n), 0, 0, 1, 1},
  {&__pyx_n_s_save_pre_learned_params, __pyx_k_save_pre_learned_params, sizeof(__pyx_k_save_pre_learned_params), 0, 0, 1, 1},
  {&__pyx_n_s_scale, __pyx_k_scale, sizeof(__pyx_k_scale), 0, 0, 1, 1},
  {&__pyx_n_s_self, __pyx_k_self, sizeof(__pyx_k_self), 0, 0, 1, 1},
  {&__pyx_n_s_seq_len, __pyx_k_seq_len, sizeof(__pyx_k_seq_len), 0, 0, 1, 1},
  {&__pyx_n_s_set_forgot_conv, __pyx_k_set_forgot_conv, sizeof(__pyx_k_set_forgot_conv), 0, 0, 1, 1},
  {&__pyx_n_s_set_given_conv, __pyx_k_set_given_conv, sizeof(__pyx_k_set_given_conv), 0, 0, 1, 1},
  {&__pyx_n_s_set_graph, __pyx_k_set_graph, sizeof(__pyx_k_set_graph), 0, 0, 1, 1},
  {&__pyx_n_s_set_input_conv, __pyx_k_set_input_conv, sizeof(__pyx_k_set_input_conv), 0, 0, 1, 1},
  {&__pyx_n_s_set_opt_params, __pyx_k_set_opt_params, sizeof(__pyx_k_set_opt_params), 0, 0, 1, 1},
  {&__pyx_n_s_set_output_conv, __pyx_k_set_output_conv, sizeof(__pyx_k_set_output_conv), 0, 0, 1, 1},
  {&__pyx_n_s_set_verificatable_result, __pyx_k_set_verificatable_result, sizeof(__pyx_k_set_verificatable_result), 0, 0, 1, 1},
  {&__pyx_n_s_shape, __pyx_k_shape, sizeof(__pyx_k_shape), 0, 0, 1, 1},
  {&__pyx_n_s_size, __pyx_k_size, sizeof(__pyx_k_size), 0, 0, 1, 1},
  {&__pyx_n_s_stride, __pyx_k_stride, sizeof(__pyx_k_stride), 0, 0, 1, 1},
  {&__pyx_n_s_sum, __pyx_k_sum, sizeof(__pyx_k_sum), 0, 0, 1, 1},
  {&__pyx_n_s_target_arr, __pyx_k_target_arr, sizeof(__pyx_k_target_arr), 0, 0, 1, 1},
  {&__pyx_n_s_test, __pyx_k_test, sizeof(__pyx_k_test), 0, 0, 1, 1},
  {&__pyx_n_s_test_batch_observed_arr, __pyx_k_test_batch_observed_arr, sizeof(__pyx_k_test_batch_observed_arr), 0, 0, 1, 1},
  {&__pyx_n_s_test_batch_target_arr, __pyx_k_test_batch_target_arr, sizeof(__pyx_k_test_batch_target_arr), 0, 0, 1, 1},
  {&__pyx_n_s_test_index, __pyx_k_test_index, sizeof(__pyx_k_test_index), 0, 0, 1, 1},
  {&__pyx_n_s_test_label_arr, __pyx_k_test_label_arr, sizeof(__pyx_k_test_label_arr), 0, 0, 1, 1},
  {&__pyx_n_s_test_loss, __pyx_k_test_loss, sizeof(__pyx_k_test_loss), 0, 0, 1, 1},
  {&__pyx_n_s_test_observed_arr, __pyx_k_test_observed_arr, sizeof(__pyx_k_test_observed_arr), 0, 0, 1, 1},
  {&__pyx_n_s_test_penalty, __pyx_k_test_penalty, sizeof(__pyx_k_test_penalty), 0, 0, 1, 1},
  {&__pyx_n_s_test_pred_arr, __pyx_k_test_pred_arr, sizeof(__pyx_k_test_pred_arr), 0, 0, 1, 1},
  {&__pyx_n_s_test_size_rate, __pyx_k_test_size_rate, sizeof(__pyx_k_test_size_rate), 0, 0, 1, 1},
  {&__pyx_n_s_test_target_arr, __pyx_k_test_target_arr, sizeof(__pyx_k_test_target_arr), 0, 0, 1, 1},
  {&__pyx_n_s_test_weight_decay, __pyx_k_test_weight_decay, sizeof(__pyx_k_test_weight_decay), 0, 0, 1, 1},
  {&__pyx_n_s_tld, __pyx_k_tld, sizeof(__pyx_k_tld), 0, 0, 1, 1},
  {&__pyx_n_s_tol, __pyx_k_tol, sizeof(__pyx_k_tol), 0, 0, 1, 1},
  {&__pyx_n_s_train_index, __pyx_k_train_index, sizeof(__pyx_k_train_index), 0, 0, 1, 1},
  {&__pyx_n_s_train_label_arr, __pyx_k_train_label_arr, sizeof(__pyx_k_train_label_arr), 0, 0, 1, 1},
  {&__pyx_n_s_train_observed_arr, __pyx_k_train_observed_arr, sizeof(__pyx_k_train_observed_arr), 0, 0, 1, 1},
  {&__pyx_n_s_train_penalty, __pyx_k_train_penalty, sizeof(__pyx_k_train_penalty), 0, 0, 1, 1},
  {&__pyx_n_s_train_pred_arr, __pyx_k_train_pred_arr, sizeof(__pyx_k_train_pred_arr), 0, 0, 1, 1},
  {&__pyx_n_s_train_target_arr, __pyx_k_train_target_arr, sizeof(__pyx_k_train_target_arr), 0, 0, 1, 1},
  {&__pyx_n_s_train_weight_decay, __pyx_k_train_weight_decay, sizeof(__pyx_k_train_weight_decay), 0, 0, 1, 1},
  {&__pyx_kp_u_unknown_dtype_code_in_numpy_pxd, __pyx_k_unknown_dtype_code_in_numpy_pxd, sizeof(__pyx_k_unknown_dtype_code_in_numpy_pxd), 0, 1, 0, 0},
  {&__pyx_n_s_value, __pyx_k_value, sizeof(__pyx_k_value), 0, 0, 1, 1},
  {&__pyx_n_s_ver_pred_arr, __pyx_k_ver_pred_arr, sizeof(__pyx_k_ver_pred_arr), 0, 0, 1, 1},
  {&__pyx_n_s_verificatable_result, __pyx_k_verificatable_result, sizeof(__pyx_k_verificatable_result), 0, 0, 1, 1},
  {&__pyx_n_s_verificate, __pyx_k_verificate, sizeof(__pyx_k_verificate), 0, 0, 1, 1},
  {&__pyx_n_s_weight_arr, __pyx_k_weight_arr, sizeof(__pyx_k_weight_arr), 0, 0, 1, 1},
  {&__pyx_n_s_weight_decay_term, __pyx_k_weight_decay_term, sizeof(__pyx_k_weight_decay_term), 0, 0, 1, 1},
  {&__pyx_n_s_width, __pyx_k_width, sizeof(__pyx_k_width), 0, 0, 1, 1},
  {&__pyx_n_s_zeros, __pyx_k_zeros, sizeof(__pyx_k_zeros), 0, 0, 1, 1},
  {&__pyx_n_s_zeros_like, __pyx_k_zeros_like, sizeof(__pyx_k_zeros_like), 0, 0, 1, 1},
  {0, 0, 0, 0, 0, 0, 0}
};
static int __Pyx_InitCachedBuiltins(void) {
  __pyx_builtin_property = __Pyx_GetBuiltinName(__pyx_n_s_property); if (!__pyx_builtin_property) __PYX_ERR(0, 52, __pyx_L1_error)
  __pyx_builtin_TypeError = __Pyx_GetBuiltinName(__pyx_n_s_TypeError); if (!__pyx_builtin_TypeError) __PYX_ERR(0, 42, __pyx_L1_error)
  __pyx_builtin_ValueError = __Pyx_GetBuiltinName(__pyx_n_s_ValueError); if (!__pyx_builtin_ValueError) __PYX_ERR(0, 344, __pyx_L1_error)
  __pyx_builtin_round = __Pyx_GetBuiltinName(__pyx_n_s_round); if (!__pyx_builtin_round) __PYX_ERR(0, 353, __pyx_L1_error)
  __pyx_builtin_range = __Pyx_GetBuiltinName(__pyx_n_s_range); if (!__pyx_builtin_range) __PYX_ERR(0, 354, __pyx_L1_error)
  __pyx_builtin_sum = __Pyx_GetBuiltinName(__pyx_n_s_sum); if (!__pyx_builtin_sum) __PYX_ERR(0, 409, __pyx_L1_error)
  __pyx_builtin_FloatingPointError = __Pyx_GetBuiltinName(__pyx_n_s_FloatingPointError); if (!__pyx_builtin_FloatingPointError) __PYX_ERR(0, 466, __pyx_L1_error)
  __pyx_builtin_KeyboardInterrupt = __Pyx_GetBuiltinName(__pyx_n_s_KeyboardInterrupt); if (!__pyx_builtin_KeyboardInterrupt) __PYX_ERR(0, 544, __pyx_L1_error)
  __pyx_builtin_reversed = __Pyx_GetBuiltinName(__pyx_n_s_reversed); if (!__pyx_builtin_reversed) __PYX_ERR(0, 1179, __pyx_L1_error)
  __pyx_builtin_RuntimeError = __Pyx_GetBuiltinName(__pyx_n_s_RuntimeError); if (!__pyx_builtin_RuntimeError) __PYX_ERR(1, 810, __pyx_L1_error)
  __pyx_builtin_ImportError = __Pyx_GetBuiltinName(__pyx_n_s_ImportError); if (!__pyx_builtin_ImportError) __PYX_ERR(1, 1000, __pyx_L1_error)
  return 0;
  __pyx_L1_error:;
  return -1;
}

static int __Pyx_InitCachedConstants(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_InitCachedConstants", 0);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":308
 *         self.__cycle_len = 1
 * 
 *         logger = getLogger("pydbm")             # <<<<<<<<<<<<<<
 *         self.__logger = logger
 * 
 */
  __pyx_tuple_ = PyTuple_Pack(1, __pyx_n_s_pydbm); if (unlikely(!__pyx_tuple_)) __PYX_ERR(0, 308, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple_);
  __Pyx_GIVEREF(__pyx_tuple_);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":323
 *                                 To learn as Auto-encoder, this value must be `None` or equivalent to `observed_arr`.
 *         '''
 *         self.__logger.debug("pydbm.rnn.lstm_model.learn is started. ")             # <<<<<<<<<<<<<<
 * 
 *         cdef double learning_rate = self.__learning_rate
 */
  __pyx_tuple__2 = PyTuple_Pack(1, __pyx_kp_s_pydbm_rnn_lstm_model_learn_is_st); if (unlikely(!__pyx_tuple__2)) __PYX_ERR(0, 323, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__2);
  __Pyx_GIVEREF(__pyx_tuple__2);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":344
 * 
 *         if row_t != 0 and row_t != row_o:
 *             raise ValueError("The row of `target_arr` must be equivalent to the row of `observed_arr`.")             # <<<<<<<<<<<<<<
 * 
 *         if row_t == 0:
 */
  __pyx_tuple__3 = PyTuple_Pack(1, __pyx_kp_s_The_row_of_target_arr_must_be_eq); if (unlikely(!__pyx_tuple__3)) __PYX_ERR(0, 344, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__3);
  __Pyx_GIVEREF(__pyx_tuple__3);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":392
 *                     ver_pred_arr = pred_arr.copy()
 *                     train_weight_decay = self.weight_decay_term
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 */
  __pyx_slice__4 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__4)) __PYX_ERR(0, 392, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__4);
  __Pyx_GIVEREF(__pyx_slice__4);
  __pyx_tuple__5 = PyTuple_Pack(2, __pyx_slice__4, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__5)) __PYX_ERR(0, 392, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__5);
  __Pyx_GIVEREF(__pyx_tuple__5);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":395
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 *                             batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                         )
 *                     else:
 */
  __pyx_slice__6 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__6)) __PYX_ERR(0, 395, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__6);
  __Pyx_GIVEREF(__pyx_slice__6);
  __pyx_tuple__7 = PyTuple_Pack(2, __pyx_slice__6, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__7)) __PYX_ERR(0, 395, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__7);
  __Pyx_GIVEREF(__pyx_tuple__7);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":400
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                 batch_target_arr[:, -1].shape[0],
 *                                 -1
 */
  __pyx_slice__8 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__8)) __PYX_ERR(0, 400, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__8);
  __Pyx_GIVEREF(__pyx_slice__8);
  __pyx_tuple__9 = PyTuple_Pack(2, __pyx_slice__8, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__9)) __PYX_ERR(0, 400, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__9);
  __Pyx_GIVEREF(__pyx_tuple__9);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":401
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 *                                 batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                 -1
 *                             ))
 */
  __pyx_slice__10 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__10)) __PYX_ERR(0, 401, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__10);
  __Pyx_GIVEREF(__pyx_slice__10);
  __pyx_tuple__11 = PyTuple_Pack(2, __pyx_slice__10, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__11)) __PYX_ERR(0, 401, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__11);
  __Pyx_GIVEREF(__pyx_tuple__11);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":418
 *                         ver_pred_arr = pred_arr.copy()
 *                         train_weight_decay = self.weight_decay_term
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 */
  __pyx_slice__12 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__12)) __PYX_ERR(0, 418, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__12);
  __Pyx_GIVEREF(__pyx_slice__12);
  __pyx_tuple__13 = PyTuple_Pack(2, __pyx_slice__12, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__13)) __PYX_ERR(0, 418, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__13);
  __Pyx_GIVEREF(__pyx_tuple__13);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":421
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                             )
 *                         else:
 */
  __pyx_slice__14 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__14)) __PYX_ERR(0, 421, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__14);
  __Pyx_GIVEREF(__pyx_slice__14);
  __pyx_tuple__15 = PyTuple_Pack(2, __pyx_slice__14, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__15)) __PYX_ERR(0, 421, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__15);
  __Pyx_GIVEREF(__pyx_tuple__15);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":426
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                     batch_target_arr[:, -1].shape[0],
 *                                     -1
 */
  __pyx_slice__16 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__16)) __PYX_ERR(0, 426, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__16);
  __Pyx_GIVEREF(__pyx_slice__16);
  __pyx_tuple__17 = PyTuple_Pack(2, __pyx_slice__16, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__17)) __PYX_ERR(0, 426, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__17);
  __Pyx_GIVEREF(__pyx_tuple__17);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":427
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1].reshape((
 *                                     batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                     -1
 *                                 ))
 */
  __pyx_slice__18 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__18)) __PYX_ERR(0, 427, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__18);
  __Pyx_GIVEREF(__pyx_slice__18);
  __pyx_tuple__19 = PyTuple_Pack(2, __pyx_slice__18, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__19)) __PYX_ERR(0, 427, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__19);
  __Pyx_GIVEREF(__pyx_tuple__19);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":433
 *                         loss = loss + train_weight_decay
 * 
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 */
  __pyx_slice__20 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__20)) __PYX_ERR(0, 433, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__20);
  __Pyx_GIVEREF(__pyx_slice__20);
  __pyx_tuple__21 = PyTuple_Pack(2, __pyx_slice__20, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__21)) __PYX_ERR(0, 433, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__21);
  __Pyx_GIVEREF(__pyx_tuple__21);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":436
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 *                             batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                         )
 *                     else:
 */
  __pyx_slice__22 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__22)) __PYX_ERR(0, 436, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__22);
  __Pyx_GIVEREF(__pyx_slice__22);
  __pyx_tuple__23 = PyTuple_Pack(2, __pyx_slice__22, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__23)) __PYX_ERR(0, 436, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__23);
  __Pyx_GIVEREF(__pyx_tuple__23);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":441
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                 test_batch_target_arr[:, -1].shape[0],
 *                                 -1
 */
  __pyx_slice__24 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__24)) __PYX_ERR(0, 441, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__24);
  __Pyx_GIVEREF(__pyx_slice__24);
  __pyx_tuple__25 = PyTuple_Pack(2, __pyx_slice__24, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__25)) __PYX_ERR(0, 441, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__25);
  __Pyx_GIVEREF(__pyx_tuple__25);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":442
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 *                                 test_batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                 -1
 *                             ))
 */
  __pyx_slice__26 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__26)) __PYX_ERR(0, 442, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__26);
  __Pyx_GIVEREF(__pyx_slice__26);
  __pyx_tuple__27 = PyTuple_Pack(2, __pyx_slice__26, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__27)) __PYX_ERR(0, 442, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__27);
  __Pyx_GIVEREF(__pyx_tuple__27);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":464
 *                             self.__output_conv.graph.bias_arr
 *                         ]
 *                         self.__logger.debug("Best params are updated.")             # <<<<<<<<<<<<<<
 * 
 *                 except FloatingPointError:
 */
  __pyx_tuple__28 = PyTuple_Pack(1, __pyx_kp_s_Best_params_are_updated); if (unlikely(!__pyx_tuple__28)) __PYX_ERR(0, 464, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__28);
  __Pyx_GIVEREF(__pyx_tuple__28);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":468
 *                 except FloatingPointError:
 *                     if epoch > int(self.__epochs * 0.7):
 *                         self.__logger.debug(             # <<<<<<<<<<<<<<
 *                             "Underflow occurred when the parameters are being updated. Because of early stopping, this error is catched and the parameter is not updated."
 *                         )
 */
  __pyx_tuple__29 = PyTuple_Pack(1, __pyx_kp_s_Underflow_occurred_when_the_para); if (unlikely(!__pyx_tuple__29)) __PYX_ERR(0, 468, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__29);
  __Pyx_GIVEREF(__pyx_tuple__29);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":484
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 *                     test_weight_decay = self.weight_decay_term
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 */
  __pyx_slice__30 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__30)) __PYX_ERR(0, 484, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__30);
  __Pyx_GIVEREF(__pyx_slice__30);
  __pyx_tuple__31 = PyTuple_Pack(2, __pyx_slice__30, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__31)) __PYX_ERR(0, 484, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__31);
  __Pyx_GIVEREF(__pyx_tuple__31);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":487
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                         )
 *                     else:
 */
  __pyx_slice__32 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__32)) __PYX_ERR(0, 487, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__32);
  __Pyx_GIVEREF(__pyx_slice__32);
  __pyx_tuple__33 = PyTuple_Pack(2, __pyx_slice__32, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__33)) __PYX_ERR(0, 487, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__33);
  __Pyx_GIVEREF(__pyx_tuple__33);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":492
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                 test_batch_target_arr[:, -1].shape[0],
 *                                 -1
 */
  __pyx_slice__34 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__34)) __PYX_ERR(0, 492, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__34);
  __Pyx_GIVEREF(__pyx_slice__34);
  __pyx_tuple__35 = PyTuple_Pack(2, __pyx_slice__34, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__35)) __PYX_ERR(0, 492, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__35);
  __Pyx_GIVEREF(__pyx_tuple__35);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":493
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1].reshape((
 *                                 test_batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                 -1
 *                             ))
 */
  __pyx_slice__36 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__36)) __PYX_ERR(0, 493, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__36);
  __Pyx_GIVEREF(__pyx_slice__36);
  __pyx_tuple__37 = PyTuple_Pack(2, __pyx_slice__36, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__37)) __PYX_ERR(0, 493, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__37);
  __Pyx_GIVEREF(__pyx_tuple__37);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":513
 *                     if self.__verificatable_result is not None:
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1]:             # <<<<<<<<<<<<<<
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((
 *                                     batch_target_arr[:, -1].shape[0],
 */
  __pyx_slice__38 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__38)) __PYX_ERR(0, 513, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__38);
  __Pyx_GIVEREF(__pyx_slice__38);
  __pyx_tuple__39 = PyTuple_Pack(2, __pyx_slice__38, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__39)) __PYX_ERR(0, 513, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__39);
  __Pyx_GIVEREF(__pyx_tuple__39);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":514
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1]:
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                     batch_target_arr[:, -1].shape[0],
 *                                     -1
 */
  __pyx_slice__40 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__40)) __PYX_ERR(0, 514, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__40);
  __Pyx_GIVEREF(__pyx_slice__40);
  __pyx_tuple__41 = PyTuple_Pack(2, __pyx_slice__40, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__41)) __PYX_ERR(0, 514, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__41);
  __Pyx_GIVEREF(__pyx_tuple__41);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":515
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1]:
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((
 *                                     batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                     -1
 *                                 ))
 */
  __pyx_slice__42 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__42)) __PYX_ERR(0, 515, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__42);
  __Pyx_GIVEREF(__pyx_slice__42);
  __pyx_tuple__43 = PyTuple_Pack(2, __pyx_slice__42, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__43)) __PYX_ERR(0, 515, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__43);
  __Pyx_GIVEREF(__pyx_tuple__43);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":519
 *                                 ))
 *                             else:
 *                                 train_label_arr = batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 * 
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 */
  __pyx_slice__44 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__44)) __PYX_ERR(0, 519, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__44);
  __Pyx_GIVEREF(__pyx_slice__44);
  __pyx_tuple__45 = PyTuple_Pack(2, __pyx_slice__44, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__45)) __PYX_ERR(0, 519, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__45);
  __Pyx_GIVEREF(__pyx_tuple__45);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":521
 *                                 train_label_arr = batch_target_arr[:, -1]
 * 
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                                 test_label_arr = test_batch_target_arr[:, -1].reshape((
 *                                     test_batch_target_arr[:, -1].shape[0],
 */
  __pyx_slice__46 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__46)) __PYX_ERR(0, 521, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__46);
  __Pyx_GIVEREF(__pyx_slice__46);
  __pyx_tuple__47 = PyTuple_Pack(2, __pyx_slice__46, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__47)) __PYX_ERR(0, 521, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__47);
  __Pyx_GIVEREF(__pyx_tuple__47);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":522
 * 
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 *                                 test_label_arr = test_batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                     test_batch_target_arr[:, -1].shape[0],
 *                                     -1
 */
  __pyx_slice__48 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__48)) __PYX_ERR(0, 522, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__48);
  __Pyx_GIVEREF(__pyx_slice__48);
  __pyx_tuple__49 = PyTuple_Pack(2, __pyx_slice__48, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__49)) __PYX_ERR(0, 522, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__49);
  __Pyx_GIVEREF(__pyx_tuple__49);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":523
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 *                                 test_label_arr = test_batch_target_arr[:, -1].reshape((
 *                                     test_batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                     -1
 *                                 ))
 */
  __pyx_slice__50 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__50)) __PYX_ERR(0, 523, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__50);
  __Pyx_GIVEREF(__pyx_slice__50);
  __pyx_tuple__51 = PyTuple_Pack(2, __pyx_slice__50, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__51)) __PYX_ERR(0, 523, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__51);
  __Pyx_GIVEREF(__pyx_tuple__51);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":527
 *                                 ))
 *                             else:
 *                                 test_label_arr = test_batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 * 
 *                             self.__verificatable_result.verificate(
 */
  __pyx_slice__52 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__52)) __PYX_ERR(0, 527, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__52);
  __Pyx_GIVEREF(__pyx_slice__52);
  __pyx_tuple__53 = PyTuple_Pack(2, __pyx_slice__52, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__53)) __PYX_ERR(0, 527, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__53);
  __Pyx_GIVEREF(__pyx_tuple__53);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":545
 * 
 *         except KeyboardInterrupt:
 *             self.__logger.debug("Interrupt.")             # <<<<<<<<<<<<<<
 * 
 *         if eary_stop_flag is True:
 */
  __pyx_tuple__54 = PyTuple_Pack(1, __pyx_kp_s_Interrupt); if (unlikely(!__pyx_tuple__54)) __PYX_ERR(0, 545, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__54);
  __Pyx_GIVEREF(__pyx_tuple__54);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":548
 * 
 *         if eary_stop_flag is True:
 *             self.__logger.debug("Eary stopping.")             # <<<<<<<<<<<<<<
 *             eary_stop_flag = False
 * 
 */
  __pyx_tuple__55 = PyTuple_Pack(1, __pyx_kp_s_Eary_stopping); if (unlikely(!__pyx_tuple__55)) __PYX_ERR(0, 548, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__55);
  __Pyx_GIVEREF(__pyx_tuple__55);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":553
 *         self.__remember_best_params(best_params_list)
 *         self.__opt_params.inferencing_mode = True
 *         self.__logger.debug("end. ")             # <<<<<<<<<<<<<<
 * 
 *     def learn_generated(self, feature_generator):
 */
  __pyx_tuple__56 = PyTuple_Pack(1, __pyx_kp_s_end); if (unlikely(!__pyx_tuple__56)) __PYX_ERR(0, 553, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__56);
  __Pyx_GIVEREF(__pyx_tuple__56);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":564
 *         '''
 *         if isinstance(feature_generator, FeatureGenerator) is False:
 *             raise TypeError("The type of `feature_generator` must be `FeatureGenerator`.")             # <<<<<<<<<<<<<<
 * 
 *         cdef double learning_rate = self.__learning_rate
 */
  __pyx_tuple__57 = PyTuple_Pack(1, __pyx_kp_s_The_type_of_feature_generator_mu); if (unlikely(!__pyx_tuple__57)) __PYX_ERR(0, 564, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__57);
  __Pyx_GIVEREF(__pyx_tuple__57);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":608
 *                     ver_pred_arr = pred_arr.copy()
 *                     train_weight_decay = self.weight_decay_term
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 */
  __pyx_slice__58 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__58)) __PYX_ERR(0, 608, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__58);
  __Pyx_GIVEREF(__pyx_slice__58);
  __pyx_tuple__59 = PyTuple_Pack(2, __pyx_slice__58, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__59)) __PYX_ERR(0, 608, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__59);
  __Pyx_GIVEREF(__pyx_tuple__59);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":611
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 *                             batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                         )
 *                     else:
 */
  __pyx_slice__60 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__60)) __PYX_ERR(0, 611, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__60);
  __Pyx_GIVEREF(__pyx_slice__60);
  __pyx_tuple__61 = PyTuple_Pack(2, __pyx_slice__60, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__61)) __PYX_ERR(0, 611, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__61);
  __Pyx_GIVEREF(__pyx_tuple__61);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":616
 *                         loss = self.__computable_loss.compute_loss(
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                 batch_target_arr[:, -1].shape[0],
 *                                 -1
 */
  __pyx_slice__62 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__62)) __PYX_ERR(0, 616, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__62);
  __Pyx_GIVEREF(__pyx_slice__62);
  __pyx_tuple__63 = PyTuple_Pack(2, __pyx_slice__62, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__63)) __PYX_ERR(0, 616, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__63);
  __Pyx_GIVEREF(__pyx_tuple__63);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":617
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 *                                 batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                 -1
 *                             ))
 */
  __pyx_slice__64 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__64)) __PYX_ERR(0, 617, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__64);
  __Pyx_GIVEREF(__pyx_slice__64);
  __pyx_tuple__65 = PyTuple_Pack(2, __pyx_slice__64, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__65)) __PYX_ERR(0, 617, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__65);
  __Pyx_GIVEREF(__pyx_tuple__65);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":634
 *                         ver_pred_arr = pred_arr.copy()
 *                         train_weight_decay = self.weight_decay_term
 *                         if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 */
  __pyx_slice__66 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__66)) __PYX_ERR(0, 634, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__66);
  __Pyx_GIVEREF(__pyx_slice__66);
  __pyx_tuple__67 = PyTuple_Pack(2, __pyx_slice__66, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__67)) __PYX_ERR(0, 634, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__67);
  __Pyx_GIVEREF(__pyx_tuple__67);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":637
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                             )
 *                         else:
 */
  __pyx_slice__68 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__68)) __PYX_ERR(0, 637, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__68);
  __Pyx_GIVEREF(__pyx_slice__68);
  __pyx_tuple__69 = PyTuple_Pack(2, __pyx_slice__68, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__69)) __PYX_ERR(0, 637, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__69);
  __Pyx_GIVEREF(__pyx_tuple__69);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":642
 *                             loss = self.__computable_loss.compute_loss(
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                     batch_target_arr[:, -1].shape[0],
 *                                     -1
 */
  __pyx_slice__70 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__70)) __PYX_ERR(0, 642, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__70);
  __Pyx_GIVEREF(__pyx_slice__70);
  __pyx_tuple__71 = PyTuple_Pack(2, __pyx_slice__70, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__71)) __PYX_ERR(0, 642, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__71);
  __Pyx_GIVEREF(__pyx_tuple__71);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":643
 *                                 pred_arr,
 *                                 batch_target_arr[:, -1].reshape((
 *                                     batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                     -1
 *                                 ))
 */
  __pyx_slice__72 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__72)) __PYX_ERR(0, 643, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__72);
  __Pyx_GIVEREF(__pyx_slice__72);
  __pyx_tuple__73 = PyTuple_Pack(2, __pyx_slice__72, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__73)) __PYX_ERR(0, 643, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__73);
  __Pyx_GIVEREF(__pyx_tuple__73);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":649
 *                         loss = loss + train_weight_decay
 * 
 *                     if pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 */
  __pyx_slice__74 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__74)) __PYX_ERR(0, 649, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__74);
  __Pyx_GIVEREF(__pyx_slice__74);
  __pyx_tuple__75 = PyTuple_Pack(2, __pyx_slice__74, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__75)) __PYX_ERR(0, 649, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__75);
  __Pyx_GIVEREF(__pyx_tuple__75);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":652
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 *                             batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                         )
 *                     else:
 */
  __pyx_slice__76 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__76)) __PYX_ERR(0, 652, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__76);
  __Pyx_GIVEREF(__pyx_slice__76);
  __pyx_tuple__77 = PyTuple_Pack(2, __pyx_slice__76, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__77)) __PYX_ERR(0, 652, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__77);
  __Pyx_GIVEREF(__pyx_tuple__77);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":657
 *                         delta_arr = self.__computable_loss.compute_delta(
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                 batch_target_arr[:, -1].shape[0],
 *                                 -1
 */
  __pyx_slice__78 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__78)) __PYX_ERR(0, 657, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__78);
  __Pyx_GIVEREF(__pyx_slice__78);
  __pyx_tuple__79 = PyTuple_Pack(2, __pyx_slice__78, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__79)) __PYX_ERR(0, 657, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__79);
  __Pyx_GIVEREF(__pyx_tuple__79);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":658
 *                             pred_arr,
 *                             batch_target_arr[:, -1].reshape((
 *                                 batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                 -1
 *                             ))
 */
  __pyx_slice__80 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__80)) __PYX_ERR(0, 658, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__80);
  __Pyx_GIVEREF(__pyx_slice__80);
  __pyx_tuple__81 = PyTuple_Pack(2, __pyx_slice__80, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__81)) __PYX_ERR(0, 658, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__81);
  __Pyx_GIVEREF(__pyx_tuple__81);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":680
 *                             self.__output_conv.graph.bias_arr
 *                         ]
 *                         self.__logger.debug("Best params are updated.")             # <<<<<<<<<<<<<<
 * 
 *                 except FloatingPointError:
 */
  __pyx_tuple__82 = PyTuple_Pack(1, __pyx_kp_s_Best_params_are_updated); if (unlikely(!__pyx_tuple__82)) __PYX_ERR(0, 680, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__82);
  __Pyx_GIVEREF(__pyx_tuple__82);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":684
 *                 except FloatingPointError:
 *                     if epoch > int(self.__epochs * 0.7):
 *                         self.__logger.debug(             # <<<<<<<<<<<<<<
 *                             "Underflow occurred when the parameters are being updated. Because of early stopping, this error is catched and the parameter is not updated."
 *                         )
 */
  __pyx_tuple__83 = PyTuple_Pack(1, __pyx_kp_s_Underflow_occurred_when_the_para); if (unlikely(!__pyx_tuple__83)) __PYX_ERR(0, 684, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__83);
  __Pyx_GIVEREF(__pyx_tuple__83);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":696
 *                     test_pred_arr = self.forward_propagation(test_batch_observed_arr)
 *                     test_weight_decay = self.weight_decay_term
 *                     if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 */
  __pyx_slice__84 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__84)) __PYX_ERR(0, 696, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__84);
  __Pyx_GIVEREF(__pyx_slice__84);
  __pyx_tuple__85 = PyTuple_Pack(2, __pyx_slice__84, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__85)) __PYX_ERR(0, 696, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__85);
  __Pyx_GIVEREF(__pyx_tuple__85);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":699
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                         )
 *                     else:
 */
  __pyx_slice__86 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__86)) __PYX_ERR(0, 699, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__86);
  __Pyx_GIVEREF(__pyx_slice__86);
  __pyx_tuple__87 = PyTuple_Pack(2, __pyx_slice__86, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__87)) __PYX_ERR(0, 699, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__87);
  __Pyx_GIVEREF(__pyx_tuple__87);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":704
 *                         test_loss = self.__computable_loss.compute_loss(
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                 test_batch_target_arr[:, -1].shape[0],
 *                                 -1
 */
  __pyx_slice__88 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__88)) __PYX_ERR(0, 704, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__88);
  __Pyx_GIVEREF(__pyx_slice__88);
  __pyx_tuple__89 = PyTuple_Pack(2, __pyx_slice__88, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__89)) __PYX_ERR(0, 704, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__89);
  __Pyx_GIVEREF(__pyx_tuple__89);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":705
 *                             test_pred_arr,
 *                             test_batch_target_arr[:, -1].reshape((
 *                                 test_batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                 -1
 *                             ))
 */
  __pyx_slice__90 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__90)) __PYX_ERR(0, 705, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__90);
  __Pyx_GIVEREF(__pyx_slice__90);
  __pyx_tuple__91 = PyTuple_Pack(2, __pyx_slice__90, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__91)) __PYX_ERR(0, 705, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__91);
  __Pyx_GIVEREF(__pyx_tuple__91);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":724
 *                     if self.__verificatable_result is not None:
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                                 train_label_arr = batch_target_arr[:, -1]
 *                             else:
 */
  __pyx_slice__92 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__92)) __PYX_ERR(0, 724, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__92);
  __Pyx_GIVEREF(__pyx_slice__92);
  __pyx_tuple__93 = PyTuple_Pack(2, __pyx_slice__92, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__93)) __PYX_ERR(0, 724, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__93);
  __Pyx_GIVEREF(__pyx_tuple__93);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":725
 *                         if self.__test_size_rate > 0:
 *                             if ver_pred_arr.ndim == batch_target_arr[:, -1].ndim:
 *                                 train_label_arr = batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                             else:
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((
 */
  __pyx_slice__94 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__94)) __PYX_ERR(0, 725, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__94);
  __Pyx_GIVEREF(__pyx_slice__94);
  __pyx_tuple__95 = PyTuple_Pack(2, __pyx_slice__94, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__95)) __PYX_ERR(0, 725, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__95);
  __Pyx_GIVEREF(__pyx_tuple__95);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":727
 *                                 train_label_arr = batch_target_arr[:, -1]
 *                             else:
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                     batch_target_arr[:, -1].shape[0],
 *                                     -1
 */
  __pyx_slice__96 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__96)) __PYX_ERR(0, 727, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__96);
  __Pyx_GIVEREF(__pyx_slice__96);
  __pyx_tuple__97 = PyTuple_Pack(2, __pyx_slice__96, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__97)) __PYX_ERR(0, 727, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__97);
  __Pyx_GIVEREF(__pyx_tuple__97);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":728
 *                             else:
 *                                 train_label_arr = batch_target_arr[:, -1].reshape((
 *                                     batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                     -1
 *                                 ))
 */
  __pyx_slice__98 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__98)) __PYX_ERR(0, 728, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__98);
  __Pyx_GIVEREF(__pyx_slice__98);
  __pyx_tuple__99 = PyTuple_Pack(2, __pyx_slice__98, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__99)) __PYX_ERR(0, 728, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__99);
  __Pyx_GIVEREF(__pyx_tuple__99);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":732
 *                                 ))
 * 
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:             # <<<<<<<<<<<<<<
 *                                 test_label_arr = test_batch_target_arr[:, -1]
 *                             else:
 */
  __pyx_slice__100 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__100)) __PYX_ERR(0, 732, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__100);
  __Pyx_GIVEREF(__pyx_slice__100);
  __pyx_tuple__101 = PyTuple_Pack(2, __pyx_slice__100, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__101)) __PYX_ERR(0, 732, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__101);
  __Pyx_GIVEREF(__pyx_tuple__101);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":733
 * 
 *                             if test_pred_arr.ndim == test_batch_target_arr[:, -1].ndim:
 *                                 test_label_arr = test_batch_target_arr[:, -1]             # <<<<<<<<<<<<<<
 *                             else:
 *                                 test_label_arr = test_batch_target_arr[:, -1].reshape((
 */
  __pyx_slice__102 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__102)) __PYX_ERR(0, 733, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__102);
  __Pyx_GIVEREF(__pyx_slice__102);
  __pyx_tuple__103 = PyTuple_Pack(2, __pyx_slice__102, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__103)) __PYX_ERR(0, 733, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__103);
  __Pyx_GIVEREF(__pyx_tuple__103);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":735
 *                                 test_label_arr = test_batch_target_arr[:, -1]
 *                             else:
 *                                 test_label_arr = test_batch_target_arr[:, -1].reshape((             # <<<<<<<<<<<<<<
 *                                     test_batch_target_arr[:, -1].shape[0],
 *                                     -1
 */
  __pyx_slice__104 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__104)) __PYX_ERR(0, 735, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__104);
  __Pyx_GIVEREF(__pyx_slice__104);
  __pyx_tuple__105 = PyTuple_Pack(2, __pyx_slice__104, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__105)) __PYX_ERR(0, 735, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__105);
  __Pyx_GIVEREF(__pyx_tuple__105);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":736
 *                             else:
 *                                 test_label_arr = test_batch_target_arr[:, -1].reshape((
 *                                     test_batch_target_arr[:, -1].shape[0],             # <<<<<<<<<<<<<<
 *                                     -1
 *                                 ))
 */
  __pyx_slice__106 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__106)) __PYX_ERR(0, 736, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__106);
  __Pyx_GIVEREF(__pyx_slice__106);
  __pyx_tuple__107 = PyTuple_Pack(2, __pyx_slice__106, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__107)) __PYX_ERR(0, 736, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__107);
  __Pyx_GIVEREF(__pyx_tuple__107);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":756
 * 
 *         except KeyboardInterrupt:
 *             self.__logger.debug("Interrupt.")             # <<<<<<<<<<<<<<
 * 
 *         if eary_stop_flag is True:
 */
  __pyx_tuple__108 = PyTuple_Pack(1, __pyx_kp_s_Interrupt); if (unlikely(!__pyx_tuple__108)) __PYX_ERR(0, 756, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__108);
  __Pyx_GIVEREF(__pyx_tuple__108);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":759
 * 
 *         if eary_stop_flag is True:
 *             self.__logger.debug("Eary stopping.")             # <<<<<<<<<<<<<<
 *             eary_stop_flag = False
 * 
 */
  __pyx_tuple__109 = PyTuple_Pack(1, __pyx_kp_s_Eary_stopping); if (unlikely(!__pyx_tuple__109)) __PYX_ERR(0, 759, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__109);
  __Pyx_GIVEREF(__pyx_tuple__109);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":764
 *         self.__remember_best_params(best_params_list)
 *         self.__opt_params.inferencing_mode = True
 *         self.__logger.debug("end. ")             # <<<<<<<<<<<<<<
 * 
 *     def __remember_best_params(self, best_params_list):
 */
  __pyx_tuple__110 = PyTuple_Pack(1, __pyx_kp_s_end); if (unlikely(!__pyx_tuple__110)) __PYX_ERR(0, 764, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__110);
  __Pyx_GIVEREF(__pyx_tuple__110);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":783
 *             self.__forgot_conv.graph.bias_arr = best_params_list[6]
 *             self.__output_conv.graph.bias_arr = best_params_list[7]
 *             self.__logger.debug("Best params are saved.")             # <<<<<<<<<<<<<<
 * 
 *     def forward_propagation(self, np.ndarray batch_observed_arr):
 */
  __pyx_tuple__111 = PyTuple_Pack(1, __pyx_kp_s_Best_params_are_saved); if (unlikely(!__pyx_tuple__111)) __PYX_ERR(0, 783, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__111);
  __Pyx_GIVEREF(__pyx_tuple__111);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":867
 *             ))
 * 
 *         delta_arr, delta_hidden_arr, _ = self.hidden_back_propagate(delta_arr[:, -1])             # <<<<<<<<<<<<<<
 *         return (delta_arr, grads_list)
 * 
 */
  __pyx_slice__112 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__112)) __PYX_ERR(0, 867, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__112);
  __Pyx_GIVEREF(__pyx_slice__112);
  __pyx_tuple__113 = PyTuple_Pack(2, __pyx_slice__112, __pyx_int_neg_1); if (unlikely(!__pyx_tuple__113)) __PYX_ERR(0, 867, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__113);
  __Pyx_GIVEREF(__pyx_tuple__113);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1095
 *             if self.__seq_len > 0 and observed_arr.shape[1] > 1:
 *                 self.graph.hidden_activity_arr, self.graph.cec_activity_arr = self.__lstm_forward(
 *                     observed_arr[:, cycle, :, :, :],             # <<<<<<<<<<<<<<
 *                     self.graph.hidden_activity_arr,
 *                     self.graph.cec_activity_arr
 */
  __pyx_slice__114 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__114)) __PYX_ERR(0, 1095, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__114);
  __Pyx_GIVEREF(__pyx_slice__114);
  __pyx_slice__115 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__115)) __PYX_ERR(0, 1095, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__115);
  __Pyx_GIVEREF(__pyx_slice__115);
  __pyx_slice__116 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__116)) __PYX_ERR(0, 1095, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__116);
  __Pyx_GIVEREF(__pyx_slice__116);
  __pyx_slice__117 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__117)) __PYX_ERR(0, 1095, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__117);
  __Pyx_GIVEREF(__pyx_slice__117);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1101
 *             else:
 *                 self.graph.hidden_activity_arr, self.graph.cec_activity_arr = self.__lstm_forward(
 *                     observed_arr[:, 0, :, :, :],             # <<<<<<<<<<<<<<
 *                     self.graph.hidden_activity_arr,
 *                     self.graph.cec_activity_arr
 */
  __pyx_slice__118 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__118)) __PYX_ERR(0, 1101, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__118);
  __Pyx_GIVEREF(__pyx_slice__118);
  __pyx_slice__119 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__119)) __PYX_ERR(0, 1101, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__119);
  __Pyx_GIVEREF(__pyx_slice__119);
  __pyx_slice__120 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__120)) __PYX_ERR(0, 1101, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__120);
  __Pyx_GIVEREF(__pyx_slice__120);
  __pyx_slice__121 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__121)) __PYX_ERR(0, 1101, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__121);
  __Pyx_GIVEREF(__pyx_slice__121);
  __pyx_tuple__122 = PyTuple_Pack(5, __pyx_slice__118, __pyx_int_0, __pyx_slice__119, __pyx_slice__120, __pyx_slice__121); if (unlikely(!__pyx_tuple__122)) __PYX_ERR(0, 1101, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__122);
  __Pyx_GIVEREF(__pyx_tuple__122);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1118
 *                 )
 * 
 *             pred_arr[:, cycle] = self.graph.hidden_activity_arr             # <<<<<<<<<<<<<<
 * 
 *         return pred_arr
 */
  __pyx_slice__123 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__123)) __PYX_ERR(0, 1118, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__123);
  __Pyx_GIVEREF(__pyx_slice__123);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1196
 *                     dtype=np.float64
 *                 )
 *             delta_arr[:, cycle] = delta_hidden_arr             # <<<<<<<<<<<<<<
 * 
 *             if bp_count >= self.__bptt_tau:
 */
  __pyx_slice__124 = PySlice_New(Py_None, Py_None, Py_None); if (unlikely(!__pyx_slice__124)) __PYX_ERR(0, 1196, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_slice__124);
  __Pyx_GIVEREF(__pyx_slice__124);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1399
 *             file_name = "conv_lstm_graph"
 *         elif ".npz" in file_name:
 *             file_name = file_name.replace(".npz", "")             # <<<<<<<<<<<<<<
 * 
 *         self.graph.save_pre_learned_params(dir_name + file_name + ".npz")
 */
  __pyx_tuple__127 = PyTuple_Pack(2, __pyx_kp_s_npz, __pyx_kp_s__126); if (unlikely(!__pyx_tuple__127)) __PYX_ERR(0, 1399, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__127);
  __Pyx_GIVEREF(__pyx_tuple__127);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1428
 *             file_name = "conv_lstm_graph"
 *         elif ".npz" in file_name:
 *             file_name = file_name.replace(".npz", "")             # <<<<<<<<<<<<<<
 * 
 *         self.graph.load_pre_learned_params(dir_name + file_name + ".npz")
 */
  __pyx_tuple__128 = PyTuple_Pack(2, __pyx_kp_s_npz, __pyx_kp_s__126); if (unlikely(!__pyx_tuple__128)) __PYX_ERR(0, 1428, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__128);
  __Pyx_GIVEREF(__pyx_tuple__128);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":229
 *             if ((flags & pybuf.PyBUF_C_CONTIGUOUS == pybuf.PyBUF_C_CONTIGUOUS)
 *                 and not PyArray_CHKFLAGS(self, NPY_C_CONTIGUOUS)):
 *                 raise ValueError(u"ndarray is not C contiguous")             # <<<<<<<<<<<<<<
 * 
 *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
 */
  __pyx_tuple__129 = PyTuple_Pack(1, __pyx_kp_u_ndarray_is_not_C_contiguous); if (unlikely(!__pyx_tuple__129)) __PYX_ERR(1, 229, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__129);
  __Pyx_GIVEREF(__pyx_tuple__129);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":233
 *             if ((flags & pybuf.PyBUF_F_CONTIGUOUS == pybuf.PyBUF_F_CONTIGUOUS)
 *                 and not PyArray_CHKFLAGS(self, NPY_F_CONTIGUOUS)):
 *                 raise ValueError(u"ndarray is not Fortran contiguous")             # <<<<<<<<<<<<<<
 * 
 *             info.buf = PyArray_DATA(self)
 */
  __pyx_tuple__130 = PyTuple_Pack(1, __pyx_kp_u_ndarray_is_not_Fortran_contiguou); if (unlikely(!__pyx_tuple__130)) __PYX_ERR(1, 233, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__130);
  __Pyx_GIVEREF(__pyx_tuple__130);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":263
 *                 if ((descr.byteorder == c'>' and little_endian) or
 *                     (descr.byteorder == c'<' and not little_endian)):
 *                     raise ValueError(u"Non-native byte order not supported")             # <<<<<<<<<<<<<<
 *                 if   t == NPY_BYTE:        f = "b"
 *                 elif t == NPY_UBYTE:       f = "B"
 */
  __pyx_tuple__131 = PyTuple_Pack(1, __pyx_kp_u_Non_native_byte_order_not_suppor); if (unlikely(!__pyx_tuple__131)) __PYX_ERR(1, 263, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__131);
  __Pyx_GIVEREF(__pyx_tuple__131);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":810
 * 
 *         if (end - f) - <int>(new_offset - offset[0]) < 15:
 *             raise RuntimeError(u"Format string allocated too short, see comment in numpy.pxd")             # <<<<<<<<<<<<<<
 * 
 *         if ((child.byteorder == c'>' and little_endian) or
 */
  __pyx_tuple__132 = PyTuple_Pack(1, __pyx_kp_u_Format_string_allocated_too_shor); if (unlikely(!__pyx_tuple__132)) __PYX_ERR(1, 810, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__132);
  __Pyx_GIVEREF(__pyx_tuple__132);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":814
 *         if ((child.byteorder == c'>' and little_endian) or
 *             (child.byteorder == c'<' and not little_endian)):
 *             raise ValueError(u"Non-native byte order not supported")             # <<<<<<<<<<<<<<
 *             # One could encode it in the format string and have Cython
 *             # complain instead, BUT: < and > in format strings also imply
 */
  __pyx_tuple__133 = PyTuple_Pack(1, __pyx_kp_u_Non_native_byte_order_not_suppor); if (unlikely(!__pyx_tuple__133)) __PYX_ERR(1, 814, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__133);
  __Pyx_GIVEREF(__pyx_tuple__133);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":834
 *             t = child.type_num
 *             if end - f < 5:
 *                 raise RuntimeError(u"Format string allocated too short.")             # <<<<<<<<<<<<<<
 * 
 *             # Until ticket #99 is fixed, use integers to avoid warnings
 */
  __pyx_tuple__134 = PyTuple_Pack(1, __pyx_kp_u_Format_string_allocated_too_shor_2); if (unlikely(!__pyx_tuple__134)) __PYX_ERR(1, 834, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__134);
  __Pyx_GIVEREF(__pyx_tuple__134);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1000
 *         _import_array()
 *     except Exception:
 *         raise ImportError("numpy.core.multiarray failed to import")             # <<<<<<<<<<<<<<
 * 
 * cdef inline int import_umath() except -1:
 */
  __pyx_tuple__135 = PyTuple_Pack(1, __pyx_kp_s_numpy_core_multiarray_failed_to); if (unlikely(!__pyx_tuple__135)) __PYX_ERR(1, 1000, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__135);
  __Pyx_GIVEREF(__pyx_tuple__135);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1006
 *         _import_umath()
 *     except Exception:
 *         raise ImportError("numpy.core.umath failed to import")             # <<<<<<<<<<<<<<
 * 
 * cdef inline int import_ufunc() except -1:
 */
  __pyx_tuple__136 = PyTuple_Pack(1, __pyx_kp_s_numpy_core_umath_failed_to_impor); if (unlikely(!__pyx_tuple__136)) __PYX_ERR(1, 1006, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__136);
  __Pyx_GIVEREF(__pyx_tuple__136);

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1012
 *         _import_umath()
 *     except Exception:
 *         raise ImportError("numpy.core.umath failed to import")             # <<<<<<<<<<<<<<
 */
  __pyx_tuple__137 = PyTuple_Pack(1, __pyx_kp_s_numpy_core_umath_failed_to_impor); if (unlikely(!__pyx_tuple__137)) __PYX_ERR(1, 1012, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__137);
  __Pyx_GIVEREF(__pyx_tuple__137);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":39
 *     __graph = None
 * 
 *     def get_graph(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         if isinstance(self.__graph, Synapse) is False:
 */
  __pyx_tuple__138 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__138)) __PYX_ERR(0, 39, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__138);
  __Pyx_GIVEREF(__pyx_tuple__138);
  __pyx_codeobj__139 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__138, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_get_graph, 39, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__139)) __PYX_ERR(0, 39, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":46
 *         return self.__graph
 * 
 *     def set_graph(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         if isinstance(value, Synapse) is False:
 */
  __pyx_tuple__140 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_value); if (unlikely(!__pyx_tuple__140)) __PYX_ERR(0, 46, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__140);
  __Pyx_GIVEREF(__pyx_tuple__140);
  __pyx_codeobj__141 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__140, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_set_graph, 46, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__141)) __PYX_ERR(0, 46, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":72
 *     __hidden_shape = None
 * 
 *     def __init__(             # <<<<<<<<<<<<<<
 *         self,
 *         graph,
 */
  __pyx_tuple__142 = PyTuple_Pack(27, __pyx_n_s_self, __pyx_n_s_graph, __pyx_n_s_epochs, __pyx_n_s_batch_size, __pyx_n_s_learning_rate, __pyx_n_s_learning_attenuate_rate, __pyx_n_s_attenuate_epoch, __pyx_n_s_given_conv, __pyx_n_s_input_conv, __pyx_n_s_forgot_conv, __pyx_n_s_output_conv, __pyx_n_s_filter_num, __pyx_n_s_channel, __pyx_n_s_kernel_size, __pyx_n_s_scale, __pyx_n_s_stride, __pyx_n_s_pad, __pyx_n_s_seq_len, __pyx_n_s_bptt_tau, __pyx_n_s_test_size_rate, __pyx_n_s_computable_loss, __pyx_n_s_opt_params, __pyx_n_s_verificatable_result, __pyx_n_s_tol, __pyx_n_s_tld, __pyx_n_s_pre_learned_dir, __pyx_n_s_logger); if (unlikely(!__pyx_tuple__142)) __PYX_ERR(0, 72, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__142);
  __Pyx_GIVEREF(__pyx_tuple__142);
  __pyx_codeobj__143 = (PyObject*)__Pyx_PyCode_New(26, 0, 27, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__142, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_init, 72, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__143)) __PYX_ERR(0, 72, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":311
 *         self.__logger = logger
 * 
 *     def learn(self, np.ndarray[DOUBLE_t, ndim=5] observed_arr, np.ndarray target_arr=np.array([])):             # <<<<<<<<<<<<<<
 *         '''
 *         Learn the observed data points
 */
  __pyx_tuple__144 = PyTuple_Pack(36, __pyx_n_s_self, __pyx_n_s_observed_arr, __pyx_n_s_target_arr, __pyx_n_s_learning_rate, __pyx_n_s_epoch, __pyx_n_s_batch_index, __pyx_n_s_row_o, __pyx_n_s_row_t, __pyx_n_s_train_index, __pyx_n_s_test_index, __pyx_n_s_train_observed_arr, __pyx_n_s_train_target_arr, __pyx_n_s_test_observed_arr, __pyx_n_s_test_target_arr, __pyx_n_s_rand_index, __pyx_n_s_batch_observed_arr, __pyx_n_s_batch_target_arr, __pyx_n_s_loss, __pyx_n_s_test_loss, __pyx_n_s_pred_arr, __pyx_n_s_test_pred_arr, __pyx_n_s_delta_arr, __pyx_n_s_best_params_list, __pyx_n_s_loss_list, __pyx_n_s_min_loss, __pyx_n_s_eary_stop_flag, __pyx_n_s_ver_pred_arr, __pyx_n_s_train_weight_decay, __pyx_n_s_remember_flag, __pyx_n_s_delta_arr_2, __pyx_n_s_grads_list, __pyx_n_s_test_batch_observed_arr, __pyx_n_s_test_batch_target_arr, __pyx_n_s_test_weight_decay, __pyx_n_s_train_label_arr, __pyx_n_s_test_label_arr); if (unlikely(!__pyx_tuple__144)) __PYX_ERR(0, 311, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__144);
  __Pyx_GIVEREF(__pyx_tuple__144);
  __pyx_codeobj__145 = (PyObject*)__Pyx_PyCode_New(3, 0, 36, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__144, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_learn, 311, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__145)) __PYX_ERR(0, 311, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":555
 *         self.__logger.debug("end. ")
 * 
 *     def learn_generated(self, feature_generator):             # <<<<<<<<<<<<<<
 *         '''
 *         Learn features generated by `FeatureGenerator`.
 */
  __pyx_tuple__146 = PyTuple_Pack(33, __pyx_n_s_self, __pyx_n_s_feature_generator, __pyx_n_s_learning_rate, __pyx_n_s_epoch, __pyx_n_s_batch_index, __pyx_n_s_train_index, __pyx_n_s_test_index, __pyx_n_s_train_observed_arr, __pyx_n_s_train_target_arr, __pyx_n_s_test_observed_arr, __pyx_n_s_test_target_arr, __pyx_n_s_rand_index, __pyx_n_s_batch_observed_arr, __pyx_n_s_batch_target_arr, __pyx_n_s_loss, __pyx_n_s_test_loss, __pyx_n_s_pred_arr, __pyx_n_s_test_pred_arr, __pyx_n_s_delta_arr, __pyx_n_s_best_params_list, __pyx_n_s_loss_list, __pyx_n_s_min_loss, __pyx_n_s_eary_stop_flag, __pyx_n_s_test_batch_observed_arr, __pyx_n_s_test_batch_target_arr, __pyx_n_s_ver_pred_arr, __pyx_n_s_train_weight_decay, __pyx_n_s_remember_flag, __pyx_n_s_delta_arr_2, __pyx_n_s_grads_list, __pyx_n_s_test_weight_decay, __pyx_n_s_train_label_arr, __pyx_n_s_test_label_arr); if (unlikely(!__pyx_tuple__146)) __PYX_ERR(0, 555, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__146);
  __Pyx_GIVEREF(__pyx_tuple__146);
  __pyx_codeobj__147 = (PyObject*)__Pyx_PyCode_New(2, 0, 33, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__146, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_learn_generated, 555, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__147)) __PYX_ERR(0, 555, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":766
 *         self.__logger.debug("end. ")
 * 
 *     def __remember_best_params(self, best_params_list):             # <<<<<<<<<<<<<<
 *         '''
 *         Remember best parameters.
 */
  __pyx_tuple__148 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_best_params_list); if (unlikely(!__pyx_tuple__148)) __PYX_ERR(0, 766, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__148);
  __Pyx_GIVEREF(__pyx_tuple__148);
  __pyx_codeobj__149 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__148, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_remember_best_params, 766, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__149)) __PYX_ERR(0, 766, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":785
 *             self.__logger.debug("Best params are saved.")
 * 
 *     def forward_propagation(self, np.ndarray batch_observed_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Forward propagation.
 */
  __pyx_tuple__150 = PyTuple_Pack(5, __pyx_n_s_self, __pyx_n_s_batch_observed_arr, __pyx_n_s_hidden_activity_arr, __pyx_n_s_arr, __pyx_n_s_pred_arr); if (unlikely(!__pyx_tuple__150)) __PYX_ERR(0, 785, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__150);
  __Pyx_GIVEREF(__pyx_tuple__150);
  __pyx_codeobj__151 = (PyObject*)__Pyx_PyCode_New(2, 0, 5, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__150, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_forward_propagation, 785, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__151)) __PYX_ERR(0, 785, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":834
 *         return pred_arr
 * 
 *     def back_propagation(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray pred_arr,
 */
  __pyx_tuple__153 = PyTuple_Pack(7, __pyx_n_s_self, __pyx_n_s_pred_arr, __pyx_n_s_delta_arr, __pyx_n_s_grads_list, __pyx_n_s_arr, __pyx_n_s_delta_hidden_arr, __pyx_n_s__152); if (unlikely(!__pyx_tuple__153)) __PYX_ERR(0, 834, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__153);
  __Pyx_GIVEREF(__pyx_tuple__153);
  __pyx_codeobj__154 = (PyObject*)__Pyx_PyCode_New(3, 0, 7, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__153, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_back_propagation, 834, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__154)) __PYX_ERR(0, 834, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":870
 *         return (delta_arr, grads_list)
 * 
 *     def optimize(             # <<<<<<<<<<<<<<
 *         self,
 *         grads_list,
 */
  __pyx_tuple__155 = PyTuple_Pack(5, __pyx_n_s_self, __pyx_n_s_grads_list, __pyx_n_s_learning_rate, __pyx_n_s_epoch, __pyx_n_s_params_list); if (unlikely(!__pyx_tuple__155)) __PYX_ERR(0, 870, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__155);
  __Pyx_GIVEREF(__pyx_tuple__155);
  __pyx_codeobj__156 = (PyObject*)__Pyx_PyCode_New(4, 0, 5, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__155, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_optimize, 870, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__156)) __PYX_ERR(0, 870, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1019
 *         self.__output_conv.reset_delta()
 * 
 *     def inference(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray observed_arr,
 */
  __pyx_tuple__157 = PyTuple_Pack(7, __pyx_n_s_self, __pyx_n_s_observed_arr, __pyx_n_s_hidden_activity_arr, __pyx_n_s_cec_activity_arr, __pyx_n_s_sample_n, __pyx_n_s_cycle_len, __pyx_n_s_pred_arr); if (unlikely(!__pyx_tuple__157)) __PYX_ERR(0, 1019, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__157);
  __Pyx_GIVEREF(__pyx_tuple__157);
  __pyx_codeobj__158 = (PyObject*)__Pyx_PyCode_New(4, 0, 7, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__157, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_inference, 1019, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__158)) __PYX_ERR(0, 1019, __pyx_L1_error)
  __pyx_tuple__159 = PyTuple_Pack(2, ((PyObject *)Py_None), ((PyObject *)Py_None)); if (unlikely(!__pyx_tuple__159)) __PYX_ERR(0, 1019, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__159);
  __Pyx_GIVEREF(__pyx_tuple__159);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1057
 *         return pred_arr
 * 
 *     def get_feature_points(self):             # <<<<<<<<<<<<<<
 *         '''
 *         Extract the activities in hidden layer and reset it,
 */
  __pyx_tuple__160 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__160)) __PYX_ERR(0, 1057, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__160);
  __Pyx_GIVEREF(__pyx_tuple__160);
  __pyx_codeobj__161 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__160, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_get_feature_points, 1057, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__161)) __PYX_ERR(0, 1057, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1067
 *         return self.graph.hidden_activity_arr
 * 
 *     def hidden_forward_propagate(self, np.ndarray[DOUBLE_t, ndim=5] observed_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Forward propagation in LSTM gate.
 */
  __pyx_tuple__162 = PyTuple_Pack(9, __pyx_n_s_self, __pyx_n_s_observed_arr, __pyx_n_s_sample_n, __pyx_n_s_cycle_len, __pyx_n_s_channel, __pyx_n_s_width, __pyx_n_s_height, __pyx_n_s_pred_arr, __pyx_n_s_cycle); if (unlikely(!__pyx_tuple__162)) __PYX_ERR(0, 1067, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__162);
  __Pyx_GIVEREF(__pyx_tuple__162);
  __pyx_codeobj__163 = (PyObject*)__Pyx_PyCode_New(2, 0, 9, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__162, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_hidden_forward_propagate, 1067, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__163)) __PYX_ERR(0, 1067, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1122
 *         return pred_arr
 * 
 *     def output_forward_propagate(self, np.ndarray[DOUBLE_t, ndim=5] pred_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Forward propagation in output layer.
 */
  __pyx_tuple__164 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_pred_arr); if (unlikely(!__pyx_tuple__164)) __PYX_ERR(0, 1122, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__164);
  __Pyx_GIVEREF(__pyx_tuple__164);
  __pyx_codeobj__165 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__164, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_output_forward_propagate, 1122, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__165)) __PYX_ERR(0, 1122, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1134
 *         return pred_arr
 * 
 *     def output_back_propagate(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray[DOUBLE_t, ndim=5] pred_arr,
 */
  __pyx_tuple__166 = PyTuple_Pack(3, __pyx_n_s_self, __pyx_n_s_pred_arr, __pyx_n_s_delta_arr); if (unlikely(!__pyx_tuple__166)) __PYX_ERR(0, 1134, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__166);
  __Pyx_GIVEREF(__pyx_tuple__166);
  __pyx_codeobj__167 = (PyObject*)__Pyx_PyCode_New(3, 0, 3, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__166, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_output_back_propagate, 1134, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__167)) __PYX_ERR(0, 1134, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1153
 *         return (delta_arr, [])
 * 
 *     def hidden_back_propagate(self, np.ndarray[DOUBLE_t, ndim=4] delta_output_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Back propagation in hidden layer.
 */
  __pyx_tuple__168 = PyTuple_Pack(8, __pyx_n_s_self, __pyx_n_s_delta_output_arr, __pyx_n_s_cycle_len, __pyx_n_s_delta_arr, __pyx_n_s_delta_hidden_arr, __pyx_n_s_delta_cec_arr, __pyx_n_s_bp_count, __pyx_n_s_cycle); if (unlikely(!__pyx_tuple__168)) __PYX_ERR(0, 1153, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__168);
  __Pyx_GIVEREF(__pyx_tuple__168);
  __pyx_codeobj__169 = (PyObject*)__Pyx_PyCode_New(2, 0, 8, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__168, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_hidden_back_propagate, 1153, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__169)) __PYX_ERR(0, 1153, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1205
 *         return delta_arr, delta_hidden_arr, []
 * 
 *     def __lstm_forward(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray[DOUBLE_t, ndim=4] observed_arr,
 */
  __pyx_tuple__170 = PyTuple_Pack(10, __pyx_n_s_self, __pyx_n_s_observed_arr, __pyx_n_s_hidden_activity_arr, __pyx_n_s_cec_activity_arr, __pyx_n_s_given_activity_arr, __pyx_n_s_input_gate_activity_arr, __pyx_n_s_forget_gate_activity_arr, __pyx_n_s_output_gate_activity_arr, __pyx_n_s_cec_activity_arr_2, __pyx_n_s_hidden_activity_arr_2); if (unlikely(!__pyx_tuple__170)) __PYX_ERR(0, 1205, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__170);
  __Pyx_GIVEREF(__pyx_tuple__170);
  __pyx_codeobj__171 = (PyObject*)__Pyx_PyCode_New(4, 0, 10, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__170, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_lstm_forward, 1205, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__171)) __PYX_ERR(0, 1205, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1283
 *         return (_hidden_activity_arr, _cec_activity_arr)
 * 
 *     def lstm_backward(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray[DOUBLE_t, ndim=4] delta_hidden_arr,
 */
  __pyx_tuple__172 = PyTuple_Pack(18, __pyx_n_s_self, __pyx_n_s_delta_hidden_arr, __pyx_n_s_delta_cec_arr, __pyx_n_s_cycle, __pyx_n_s_observed_arr, __pyx_n_s_pre_cec_activity_arr, __pyx_n_s_given_activity_arr, __pyx_n_s_input_gate_activity_arr, __pyx_n_s_forget_gate_activity_arr, __pyx_n_s_output_gate_activity_arr, __pyx_n_s_cec_activity_arr, __pyx_n_s_delta_top_arr, __pyx_n_s_delta_pre_rnn_arr, __pyx_n_s_delta_output_gate_arr, __pyx_n_s_delta_forget_gate_arr, __pyx_n_s_delta_input_gate_arr, __pyx_n_s_delta_given_arr, __pyx_n_s_delta_pre_hidden_arr); if (unlikely(!__pyx_tuple__172)) __PYX_ERR(0, 1283, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__172);
  __Pyx_GIVEREF(__pyx_tuple__172);
  __pyx_codeobj__173 = (PyObject*)__Pyx_PyCode_New(4, 0, 18, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__172, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_lstm_backward, 1283, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__173)) __PYX_ERR(0, 1283, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1386
 *         return (delta_pre_hidden_arr, delta_pre_rnn_arr)
 * 
 *     def save_pre_learned_params(self, dir_name, file_name=None):             # <<<<<<<<<<<<<<
 *         '''
 *         Save pre-learned parameters.
 */
  __pyx_tuple__174 = PyTuple_Pack(3, __pyx_n_s_self, __pyx_n_s_dir_name, __pyx_n_s_file_name); if (unlikely(!__pyx_tuple__174)) __PYX_ERR(0, 1386, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__174);
  __Pyx_GIVEREF(__pyx_tuple__174);
  __pyx_codeobj__175 = (PyObject*)__Pyx_PyCode_New(3, 0, 3, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__174, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_save_pre_learned_params, 1386, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__175)) __PYX_ERR(0, 1386, __pyx_L1_error)
  __pyx_tuple__176 = PyTuple_Pack(1, ((PyObject *)Py_None)); if (unlikely(!__pyx_tuple__176)) __PYX_ERR(0, 1386, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__176);
  __Pyx_GIVEREF(__pyx_tuple__176);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1415
 *         )
 * 
 *     def load_pre_learned_params(self, dir_name, file_name=None):             # <<<<<<<<<<<<<<
 *         '''
 *         Load pre-learned parameters.
 */
  __pyx_tuple__177 = PyTuple_Pack(3, __pyx_n_s_self, __pyx_n_s_dir_name, __pyx_n_s_file_name); if (unlikely(!__pyx_tuple__177)) __PYX_ERR(0, 1415, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__177);
  __Pyx_GIVEREF(__pyx_tuple__177);
  __pyx_codeobj__178 = (PyObject*)__Pyx_PyCode_New(3, 0, 3, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__177, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_load_pre_learned_params, 1415, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__178)) __PYX_ERR(0, 1415, __pyx_L1_error)
  __pyx_tuple__179 = PyTuple_Pack(1, ((PyObject *)Py_None)); if (unlikely(!__pyx_tuple__179)) __PYX_ERR(0, 1415, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__179);
  __Pyx_GIVEREF(__pyx_tuple__179);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1444
 *         )
 * 
 *     def get_verificatable_result(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         if isinstance(self.__verificatable_result, VerificatableResult):
 */
  __pyx_tuple__180 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__180)) __PYX_ERR(0, 1444, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__180);
  __Pyx_GIVEREF(__pyx_tuple__180);
  __pyx_codeobj__181 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__180, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_get_verificatable_result, 1444, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__181)) __PYX_ERR(0, 1444, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1451
 *             raise TypeError()
 * 
 *     def set_verificatable_result(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         if isinstance(value, VerificatableResult):
 */
  __pyx_tuple__182 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_value); if (unlikely(!__pyx_tuple__182)) __PYX_ERR(0, 1451, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__182);
  __Pyx_GIVEREF(__pyx_tuple__182);
  __pyx_codeobj__183 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__182, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_set_verificatable_result, 1451, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__183)) __PYX_ERR(0, 1451, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1460
 *     verificatable_result = property(get_verificatable_result, set_verificatable_result)
 * 
 *     def get_opt_params(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         if isinstance(self.__opt_params, OptParams):
 */
  __pyx_tuple__184 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__184)) __PYX_ERR(0, 1460, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__184);
  __Pyx_GIVEREF(__pyx_tuple__184);
  __pyx_codeobj__185 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__184, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_get_opt_params, 1460, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__185)) __PYX_ERR(0, 1460, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1467
 *             raise TypeError()
 * 
 *     def set_opt_params(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         if isinstance(value, OptParams):
 */
  __pyx_tuple__186 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_value); if (unlikely(!__pyx_tuple__186)) __PYX_ERR(0, 1467, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__186);
  __Pyx_GIVEREF(__pyx_tuple__186);
  __pyx_codeobj__187 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__186, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_set_opt_params, 1467, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__187)) __PYX_ERR(0, 1467, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1476
 *     opt_params = property(get_opt_params, set_opt_params)
 * 
 *     def get_given_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__given_conv
 */
  __pyx_tuple__188 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__188)) __PYX_ERR(0, 1476, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__188);
  __Pyx_GIVEREF(__pyx_tuple__188);
  __pyx_codeobj__189 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__188, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_get_given_conv, 1476, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__189)) __PYX_ERR(0, 1476, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1480
 *         return self.__given_conv
 * 
 *     def set_given_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__given_conv = value
 */
  __pyx_tuple__190 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_value); if (unlikely(!__pyx_tuple__190)) __PYX_ERR(0, 1480, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__190);
  __Pyx_GIVEREF(__pyx_tuple__190);
  __pyx_codeobj__191 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__190, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_set_given_conv, 1480, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__191)) __PYX_ERR(0, 1480, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1486
 *     given_conv = property(get_given_conv, set_given_conv)
 * 
 *     def get_input_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__input_conv
 */
  __pyx_tuple__192 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__192)) __PYX_ERR(0, 1486, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__192);
  __Pyx_GIVEREF(__pyx_tuple__192);
  __pyx_codeobj__193 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__192, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_get_input_conv, 1486, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__193)) __PYX_ERR(0, 1486, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1490
 *         return self.__input_conv
 * 
 *     def set_input_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__input_conv = value
 */
  __pyx_tuple__194 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_value); if (unlikely(!__pyx_tuple__194)) __PYX_ERR(0, 1490, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__194);
  __Pyx_GIVEREF(__pyx_tuple__194);
  __pyx_codeobj__195 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__194, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_set_input_conv, 1490, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__195)) __PYX_ERR(0, 1490, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1496
 *     input_conv = property(get_input_conv, set_input_conv)
 * 
 *     def get_forgot_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__forgot_conv
 */
  __pyx_tuple__196 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__196)) __PYX_ERR(0, 1496, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__196);
  __Pyx_GIVEREF(__pyx_tuple__196);
  __pyx_codeobj__197 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__196, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_get_forgot_conv, 1496, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__197)) __PYX_ERR(0, 1496, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1500
 *         return self.__forgot_conv
 * 
 *     def set_forgot_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__forgot_conv = value
 */
  __pyx_tuple__198 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_value); if (unlikely(!__pyx_tuple__198)) __PYX_ERR(0, 1500, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__198);
  __Pyx_GIVEREF(__pyx_tuple__198);
  __pyx_codeobj__199 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__198, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_set_forgot_conv, 1500, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__199)) __PYX_ERR(0, 1500, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1506
 *     forgot_conv = property(get_forgot_conv, set_forgot_conv)
 * 
 *     def get_output_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__output_conv
 */
  __pyx_tuple__200 = PyTuple_Pack(1, __pyx_n_s_self); if (unlikely(!__pyx_tuple__200)) __PYX_ERR(0, 1506, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__200);
  __Pyx_GIVEREF(__pyx_tuple__200);
  __pyx_codeobj__201 = (PyObject*)__Pyx_PyCode_New(1, 0, 1, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__200, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_get_output_conv, 1506, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__201)) __PYX_ERR(0, 1506, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1510
 *         return self.__output_conv
 * 
 *     def set_output_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__output_conv = value
 */
  __pyx_tuple__202 = PyTuple_Pack(2, __pyx_n_s_self, __pyx_n_s_value); if (unlikely(!__pyx_tuple__202)) __PYX_ERR(0, 1510, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_tuple__202);
  __Pyx_GIVEREF(__pyx_tuple__202);
  __pyx_codeobj__203 = (PyObject*)__Pyx_PyCode_New(2, 0, 2, 0, CO_OPTIMIZED|CO_NEWLOCALS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__202, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_pydbm_rnn_lstmmodel_conv_lstm_mo_2, __pyx_n_s_set_output_conv, 1510, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__203)) __PYX_ERR(0, 1510, __pyx_L1_error)
  __Pyx_RefNannyFinishContext();
  return 0;
  __pyx_L1_error:;
  __Pyx_RefNannyFinishContext();
  return -1;
}

static int __Pyx_InitGlobals(void) {
  if (__Pyx_InitStrings(__pyx_string_tab) < 0) __PYX_ERR(0, 1, __pyx_L1_error);
  __pyx_float_0_0 = PyFloat_FromDouble(0.0); if (unlikely(!__pyx_float_0_0)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_float_0_7 = PyFloat_FromDouble(0.7); if (unlikely(!__pyx_float_0_7)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_float_100_0 = PyFloat_FromDouble(100.0); if (unlikely(!__pyx_float_100_0)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_float_1eneg_04 = PyFloat_FromDouble(1e-04); if (unlikely(!__pyx_float_1eneg_04)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_int_0 = PyInt_FromLong(0); if (unlikely(!__pyx_int_0)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_int_1 = PyInt_FromLong(1); if (unlikely(!__pyx_int_1)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_int_neg_1 = PyInt_FromLong(-1); if (unlikely(!__pyx_int_neg_1)) __PYX_ERR(0, 1, __pyx_L1_error)
  return 0;
  __pyx_L1_error:;
  return -1;
}

static int __Pyx_modinit_global_init_code(void); /*proto*/
static int __Pyx_modinit_variable_export_code(void); /*proto*/
static int __Pyx_modinit_function_export_code(void); /*proto*/
static int __Pyx_modinit_type_init_code(void); /*proto*/
static int __Pyx_modinit_type_import_code(void); /*proto*/
static int __Pyx_modinit_variable_import_code(void); /*proto*/
static int __Pyx_modinit_function_import_code(void); /*proto*/

static int __Pyx_modinit_global_init_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_global_init_code", 0);
  /*--- Global init code ---*/
  __Pyx_RefNannyFinishContext();
  return 0;
}

static int __Pyx_modinit_variable_export_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_variable_export_code", 0);
  /*--- Variable export code ---*/
  __Pyx_RefNannyFinishContext();
  return 0;
}

static int __Pyx_modinit_function_export_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_function_export_code", 0);
  /*--- Function export code ---*/
  __Pyx_RefNannyFinishContext();
  return 0;
}

static int __Pyx_modinit_type_init_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_type_init_code", 0);
  /*--- Type init code ---*/
  __Pyx_RefNannyFinishContext();
  return 0;
}

static int __Pyx_modinit_type_import_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_type_import_code", 0);
  /*--- Type import code ---*/
  __pyx_ptype_7cpython_4type_type = __Pyx_ImportType(__Pyx_BUILTIN_MODULE_NAME, "type", 
  #if defined(PYPY_VERSION_NUM) && PYPY_VERSION_NUM < 0x050B0000
  sizeof(PyTypeObject),
  #else
  sizeof(PyHeapTypeObject),
  #endif
  0); if (unlikely(!__pyx_ptype_7cpython_4type_type)) __PYX_ERR(2, 9, __pyx_L1_error)
  __pyx_ptype_5numpy_dtype = __Pyx_ImportType("numpy", "dtype", sizeof(PyArray_Descr), 0); if (unlikely(!__pyx_ptype_5numpy_dtype)) __PYX_ERR(1, 164, __pyx_L1_error)
  __pyx_ptype_5numpy_flatiter = __Pyx_ImportType("numpy", "flatiter", sizeof(PyArrayIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_flatiter)) __PYX_ERR(1, 186, __pyx_L1_error)
  __pyx_ptype_5numpy_broadcast = __Pyx_ImportType("numpy", "broadcast", sizeof(PyArrayMultiIterObject), 0); if (unlikely(!__pyx_ptype_5numpy_broadcast)) __PYX_ERR(1, 190, __pyx_L1_error)
  __pyx_ptype_5numpy_ndarray = __Pyx_ImportType("numpy", "ndarray", sizeof(PyArrayObject), 0); if (unlikely(!__pyx_ptype_5numpy_ndarray)) __PYX_ERR(1, 199, __pyx_L1_error)
  __pyx_ptype_5numpy_ufunc = __Pyx_ImportType("numpy", "ufunc", sizeof(PyUFuncObject), 0); if (unlikely(!__pyx_ptype_5numpy_ufunc)) __PYX_ERR(1, 872, __pyx_L1_error)
  __Pyx_RefNannyFinishContext();
  return 0;
  __pyx_L1_error:;
  __Pyx_RefNannyFinishContext();
  return -1;
}

static int __Pyx_modinit_variable_import_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_variable_import_code", 0);
  /*--- Variable import code ---*/
  __Pyx_RefNannyFinishContext();
  return 0;
}

static int __Pyx_modinit_function_import_code(void) {
  __Pyx_RefNannyDeclarations
  __Pyx_RefNannySetupContext("__Pyx_modinit_function_import_code", 0);
  /*--- Function import code ---*/
  __Pyx_RefNannyFinishContext();
  return 0;
}


#if PY_MAJOR_VERSION < 3
#ifdef CYTHON_NO_PYINIT_EXPORT
#define __Pyx_PyMODINIT_FUNC void
#else
#define __Pyx_PyMODINIT_FUNC PyMODINIT_FUNC
#endif
#else
#ifdef CYTHON_NO_PYINIT_EXPORT
#define __Pyx_PyMODINIT_FUNC PyObject *
#else
#define __Pyx_PyMODINIT_FUNC PyMODINIT_FUNC
#endif
#endif
#ifndef CYTHON_SMALL_CODE
#if defined(__clang__)
    #define CYTHON_SMALL_CODE
#elif defined(__GNUC__) && (!(defined(__cplusplus)) || (__GNUC__ > 4 || (__GNUC__ == 4 && __GNUC_MINOR__ > 4)))
    #define CYTHON_SMALL_CODE __attribute__((cold))
#else
    #define CYTHON_SMALL_CODE
#endif
#endif


#if PY_MAJOR_VERSION < 3
__Pyx_PyMODINIT_FUNC initconv_lstm_model(void) CYTHON_SMALL_CODE; /*proto*/
__Pyx_PyMODINIT_FUNC initconv_lstm_model(void)
#else
__Pyx_PyMODINIT_FUNC PyInit_conv_lstm_model(void) CYTHON_SMALL_CODE; /*proto*/
__Pyx_PyMODINIT_FUNC PyInit_conv_lstm_model(void)
#if CYTHON_PEP489_MULTI_PHASE_INIT
{
  return PyModuleDef_Init(&__pyx_moduledef);
}
static int __Pyx_copy_spec_to_module(PyObject *spec, PyObject *moddict, const char* from_name, const char* to_name) {
    PyObject *value = PyObject_GetAttrString(spec, from_name);
    int result = 0;
    if (likely(value)) {
        result = PyDict_SetItemString(moddict, to_name, value);
        Py_DECREF(value);
    } else if (PyErr_ExceptionMatches(PyExc_AttributeError)) {
        PyErr_Clear();
    } else {
        result = -1;
    }
    return result;
}
static PyObject* __pyx_pymod_create(PyObject *spec, CYTHON_UNUSED PyModuleDef *def) {
    PyObject *module = NULL, *moddict, *modname;
    if (__pyx_m)
        return __Pyx_NewRef(__pyx_m);
    modname = PyObject_GetAttrString(spec, "name");
    if (unlikely(!modname)) goto bad;
    module = PyModule_NewObject(modname);
    Py_DECREF(modname);
    if (unlikely(!module)) goto bad;
    moddict = PyModule_GetDict(module);
    if (unlikely(!moddict)) goto bad;
    if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "loader", "__loader__") < 0)) goto bad;
    if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "origin", "__file__") < 0)) goto bad;
    if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "parent", "__package__") < 0)) goto bad;
    if (unlikely(__Pyx_copy_spec_to_module(spec, moddict, "submodule_search_locations", "__path__") < 0)) goto bad;
    return module;
bad:
    Py_XDECREF(module);
    return NULL;
}


static int __pyx_pymod_exec_conv_lstm_model(PyObject *__pyx_pyinit_module)
#endif
#endif
{
  PyObject *__pyx_t_1 = NULL;
  PyObject *__pyx_t_2 = NULL;
  PyObject *__pyx_t_3 = NULL;
  PyObject *__pyx_t_4 = NULL;
  PyObject *__pyx_t_5 = NULL;
  PyObject *__pyx_t_6 = NULL;
  PyObject *__pyx_t_7 = NULL;
  PyObject *__pyx_t_8 = NULL;
  PyObject *__pyx_t_9 = NULL;
  PyObject *__pyx_t_10 = NULL;
  PyObject *__pyx_t_11 = NULL;
  PyObject *__pyx_t_12 = NULL;
  PyObject *__pyx_t_13 = NULL;
  PyObject *__pyx_t_14 = NULL;
  PyObject *__pyx_t_15 = NULL;
  PyObject *__pyx_t_16 = NULL;
  PyObject *__pyx_t_17 = NULL;
  PyObject *__pyx_t_18 = NULL;
  __Pyx_RefNannyDeclarations
  #if CYTHON_PEP489_MULTI_PHASE_INIT
  if (__pyx_m && __pyx_m == __pyx_pyinit_module) return 0;
  #elif PY_MAJOR_VERSION >= 3
  if (__pyx_m) return __Pyx_NewRef(__pyx_m);
  #endif
  #if CYTHON_REFNANNY
__Pyx_RefNanny = __Pyx_RefNannyImportAPI("refnanny");
if (!__Pyx_RefNanny) {
  PyErr_Clear();
  __Pyx_RefNanny = __Pyx_RefNannyImportAPI("Cython.Runtime.refnanny");
  if (!__Pyx_RefNanny)
      Py_FatalError("failed to import 'refnanny' module");
}
#endif
  __Pyx_RefNannySetupContext("__Pyx_PyMODINIT_FUNC PyInit_conv_lstm_model(void)", 0);
  if (__Pyx_check_binary_version() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_empty_tuple = PyTuple_New(0); if (unlikely(!__pyx_empty_tuple)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_empty_bytes = PyBytes_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_bytes)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_empty_unicode = PyUnicode_FromStringAndSize("", 0); if (unlikely(!__pyx_empty_unicode)) __PYX_ERR(0, 1, __pyx_L1_error)
  #ifdef __Pyx_CyFunction_USED
  if (__pyx_CyFunction_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_FusedFunction_USED
  if (__pyx_FusedFunction_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_Coroutine_USED
  if (__pyx_Coroutine_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_Generator_USED
  if (__pyx_Generator_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_AsyncGen_USED
  if (__pyx_AsyncGen_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  #ifdef __Pyx_StopAsyncIteration_USED
  if (__pyx_StopAsyncIteration_init() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  /*--- Library function declarations ---*/
  /*--- Threads initialization code ---*/
  #if defined(__PYX_FORCE_INIT_THREADS) && __PYX_FORCE_INIT_THREADS
  #ifdef WITH_THREAD /* Python build with threading support? */
  PyEval_InitThreads();
  #endif
  #endif
  /*--- Module creation code ---*/
  #if CYTHON_PEP489_MULTI_PHASE_INIT
  __pyx_m = __pyx_pyinit_module;
  Py_INCREF(__pyx_m);
  #else
  #if PY_MAJOR_VERSION < 3
  __pyx_m = Py_InitModule4("conv_lstm_model", __pyx_methods, 0, 0, PYTHON_API_VERSION); Py_XINCREF(__pyx_m);
  #else
  __pyx_m = PyModule_Create(&__pyx_moduledef);
  #endif
  if (unlikely(!__pyx_m)) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  __pyx_d = PyModule_GetDict(__pyx_m); if (unlikely(!__pyx_d)) __PYX_ERR(0, 1, __pyx_L1_error)
  Py_INCREF(__pyx_d);
  __pyx_b = PyImport_AddModule(__Pyx_BUILTIN_MODULE_NAME); if (unlikely(!__pyx_b)) __PYX_ERR(0, 1, __pyx_L1_error)
  __pyx_cython_runtime = PyImport_AddModule((char *) "cython_runtime"); if (unlikely(!__pyx_cython_runtime)) __PYX_ERR(0, 1, __pyx_L1_error)
  #if CYTHON_COMPILING_IN_PYPY
  Py_INCREF(__pyx_b);
  #endif
  if (PyObject_SetAttrString(__pyx_m, "__builtins__", __pyx_b) < 0) __PYX_ERR(0, 1, __pyx_L1_error);
  /*--- Initialize various global constants etc. ---*/
  if (__Pyx_InitGlobals() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #if PY_MAJOR_VERSION < 3 && (__PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT)
  if (__Pyx_init_sys_getdefaultencoding_params() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif
  if (__pyx_module_is_main_pydbm__rnn__lstmmodel__conv_lstm_model) {
    if (PyObject_SetAttrString(__pyx_m, "__name__", __pyx_n_s_main) < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  }
  #if PY_MAJOR_VERSION >= 3
  {
    PyObject *modules = PyImport_GetModuleDict(); if (unlikely(!modules)) __PYX_ERR(0, 1, __pyx_L1_error)
    if (!PyDict_GetItemString(modules, "pydbm.rnn.lstmmodel.conv_lstm_model")) {
      if (unlikely(PyDict_SetItemString(modules, "pydbm.rnn.lstmmodel.conv_lstm_model", __pyx_m) < 0)) __PYX_ERR(0, 1, __pyx_L1_error)
    }
  }
  #endif
  /*--- Builtin init code ---*/
  if (__Pyx_InitCachedBuiltins() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  /*--- Constants init code ---*/
  if (__Pyx_InitCachedConstants() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  /*--- Global type/function init code ---*/
  (void)__Pyx_modinit_global_init_code();
  (void)__Pyx_modinit_variable_export_code();
  (void)__Pyx_modinit_function_export_code();
  (void)__Pyx_modinit_type_init_code();
  if (unlikely(__Pyx_modinit_type_import_code() != 0)) goto __pyx_L1_error;
  (void)__Pyx_modinit_variable_import_code();
  (void)__Pyx_modinit_function_import_code();
  /*--- Execution code ---*/
  #if defined(__Pyx_Generator_USED) || defined(__Pyx_Coroutine_USED)
  if (__Pyx_patch_abc() < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  #endif

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":2
 * # -*- coding: utf-8 -*-
 * from logging import getLogger             # <<<<<<<<<<<<<<
 * import numpy as np
 * cimport numpy as np
 */
  __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 2, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_INCREF(__pyx_n_s_getLogger);
  __Pyx_GIVEREF(__pyx_n_s_getLogger);
  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_getLogger);
  __pyx_t_2 = __Pyx_Import(__pyx_n_s_logging, __pyx_t_1, -1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 2, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_getLogger); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 2, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_getLogger, __pyx_t_1) < 0) __PYX_ERR(0, 2, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":3
 * # -*- coding: utf-8 -*-
 * from logging import getLogger
 * import numpy as np             # <<<<<<<<<<<<<<
 * cimport numpy as np
 * ctypedef np.float64_t DOUBLE_t
 */
  __pyx_t_2 = __Pyx_Import(__pyx_n_s_numpy, 0, -1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 3, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_np, __pyx_t_2) < 0) __PYX_ERR(0, 3, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":6
 * cimport numpy as np
 * ctypedef np.float64_t DOUBLE_t
 * from pydbm.synapse_list import Synapse             # <<<<<<<<<<<<<<
 * from pydbm.cnn.layerablecnn.convolution_layer import ConvolutionLayer
 * from pydbm.synapse.cnn_graph import CNNGraph as GivenGraph
 */
  __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 6, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_INCREF(__pyx_n_s_Synapse);
  __Pyx_GIVEREF(__pyx_n_s_Synapse);
  PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_Synapse);
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_pydbm_synapse_list, __pyx_t_2, -1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 6, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_Synapse); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 6, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_Synapse, __pyx_t_2) < 0) __PYX_ERR(0, 6, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":7
 * ctypedef np.float64_t DOUBLE_t
 * from pydbm.synapse_list import Synapse
 * from pydbm.cnn.layerablecnn.convolution_layer import ConvolutionLayer             # <<<<<<<<<<<<<<
 * from pydbm.synapse.cnn_graph import CNNGraph as GivenGraph
 * from pydbm.synapse.cnn_graph import CNNGraph as InputGraph
 */
  __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 7, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_INCREF(__pyx_n_s_ConvolutionLayer);
  __Pyx_GIVEREF(__pyx_n_s_ConvolutionLayer);
  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_ConvolutionLayer);
  __pyx_t_2 = __Pyx_Import(__pyx_n_s_pydbm_cnn_layerablecnn_convoluti, __pyx_t_1, -1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 7, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_ConvolutionLayer); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 7, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_ConvolutionLayer, __pyx_t_1) < 0) __PYX_ERR(0, 7, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":8
 * from pydbm.synapse_list import Synapse
 * from pydbm.cnn.layerablecnn.convolution_layer import ConvolutionLayer
 * from pydbm.synapse.cnn_graph import CNNGraph as GivenGraph             # <<<<<<<<<<<<<<
 * from pydbm.synapse.cnn_graph import CNNGraph as InputGraph
 * from pydbm.synapse.cnn_graph import CNNGraph as ForgotGraph
 */
  __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 8, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_INCREF(__pyx_n_s_CNNGraph);
  __Pyx_GIVEREF(__pyx_n_s_CNNGraph);
  PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_CNNGraph);
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_pydbm_synapse_cnn_graph, __pyx_t_2, -1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 8, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_CNNGraph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 8, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_GivenGraph, __pyx_t_2) < 0) __PYX_ERR(0, 8, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":9
 * from pydbm.cnn.layerablecnn.convolution_layer import ConvolutionLayer
 * from pydbm.synapse.cnn_graph import CNNGraph as GivenGraph
 * from pydbm.synapse.cnn_graph import CNNGraph as InputGraph             # <<<<<<<<<<<<<<
 * from pydbm.synapse.cnn_graph import CNNGraph as ForgotGraph
 * from pydbm.synapse.cnn_graph import CNNGraph as OutputGraph
 */
  __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 9, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_INCREF(__pyx_n_s_CNNGraph);
  __Pyx_GIVEREF(__pyx_n_s_CNNGraph);
  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_CNNGraph);
  __pyx_t_2 = __Pyx_Import(__pyx_n_s_pydbm_synapse_cnn_graph, __pyx_t_1, -1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 9, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_CNNGraph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 9, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_InputGraph, __pyx_t_1) < 0) __PYX_ERR(0, 9, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":10
 * from pydbm.synapse.cnn_graph import CNNGraph as GivenGraph
 * from pydbm.synapse.cnn_graph import CNNGraph as InputGraph
 * from pydbm.synapse.cnn_graph import CNNGraph as ForgotGraph             # <<<<<<<<<<<<<<
 * from pydbm.synapse.cnn_graph import CNNGraph as OutputGraph
 * from pydbm.activation.logistic_function import LogisticFunction
 */
  __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 10, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_INCREF(__pyx_n_s_CNNGraph);
  __Pyx_GIVEREF(__pyx_n_s_CNNGraph);
  PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_CNNGraph);
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_pydbm_synapse_cnn_graph, __pyx_t_2, -1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 10, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_CNNGraph); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 10, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_ForgotGraph, __pyx_t_2) < 0) __PYX_ERR(0, 10, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":11
 * from pydbm.synapse.cnn_graph import CNNGraph as InputGraph
 * from pydbm.synapse.cnn_graph import CNNGraph as ForgotGraph
 * from pydbm.synapse.cnn_graph import CNNGraph as OutputGraph             # <<<<<<<<<<<<<<
 * from pydbm.activation.logistic_function import LogisticFunction
 * from pydbm.activation.tanh_function import TanhFunction
 */
  __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 11, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_INCREF(__pyx_n_s_CNNGraph);
  __Pyx_GIVEREF(__pyx_n_s_CNNGraph);
  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_CNNGraph);
  __pyx_t_2 = __Pyx_Import(__pyx_n_s_pydbm_synapse_cnn_graph, __pyx_t_1, -1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 11, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_CNNGraph); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 11, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_OutputGraph, __pyx_t_1) < 0) __PYX_ERR(0, 11, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":12
 * from pydbm.synapse.cnn_graph import CNNGraph as ForgotGraph
 * from pydbm.synapse.cnn_graph import CNNGraph as OutputGraph
 * from pydbm.activation.logistic_function import LogisticFunction             # <<<<<<<<<<<<<<
 * from pydbm.activation.tanh_function import TanhFunction
 * from pydbm.cnn.feature_generator import FeatureGenerator
 */
  __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 12, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_INCREF(__pyx_n_s_LogisticFunction);
  __Pyx_GIVEREF(__pyx_n_s_LogisticFunction);
  PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_LogisticFunction);
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_pydbm_activation_logistic_functi, __pyx_t_2, -1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 12, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_LogisticFunction); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 12, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_LogisticFunction, __pyx_t_2) < 0) __PYX_ERR(0, 12, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":13
 * from pydbm.synapse.cnn_graph import CNNGraph as OutputGraph
 * from pydbm.activation.logistic_function import LogisticFunction
 * from pydbm.activation.tanh_function import TanhFunction             # <<<<<<<<<<<<<<
 * from pydbm.cnn.feature_generator import FeatureGenerator
 * from pydbm.verification.interface.verificatable_result import VerificatableResult
 */
  __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 13, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_INCREF(__pyx_n_s_TanhFunction);
  __Pyx_GIVEREF(__pyx_n_s_TanhFunction);
  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_TanhFunction);
  __pyx_t_2 = __Pyx_Import(__pyx_n_s_pydbm_activation_tanh_function, __pyx_t_1, -1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 13, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_TanhFunction); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 13, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_TanhFunction, __pyx_t_1) < 0) __PYX_ERR(0, 13, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":14
 * from pydbm.activation.logistic_function import LogisticFunction
 * from pydbm.activation.tanh_function import TanhFunction
 * from pydbm.cnn.feature_generator import FeatureGenerator             # <<<<<<<<<<<<<<
 * from pydbm.verification.interface.verificatable_result import VerificatableResult
 * from pydbm.loss.interface.computable_loss import ComputableLoss
 */
  __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 14, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_INCREF(__pyx_n_s_FeatureGenerator);
  __Pyx_GIVEREF(__pyx_n_s_FeatureGenerator);
  PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_FeatureGenerator);
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_pydbm_cnn_feature_generator, __pyx_t_2, -1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 14, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_FeatureGenerator); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 14, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_FeatureGenerator, __pyx_t_2) < 0) __PYX_ERR(0, 14, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":15
 * from pydbm.activation.tanh_function import TanhFunction
 * from pydbm.cnn.feature_generator import FeatureGenerator
 * from pydbm.verification.interface.verificatable_result import VerificatableResult             # <<<<<<<<<<<<<<
 * from pydbm.loss.interface.computable_loss import ComputableLoss
 * from pydbm.optimization.opt_params import OptParams
 */
  __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 15, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_INCREF(__pyx_n_s_VerificatableResult);
  __Pyx_GIVEREF(__pyx_n_s_VerificatableResult);
  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_VerificatableResult);
  __pyx_t_2 = __Pyx_Import(__pyx_n_s_pydbm_verification_interface_ver, __pyx_t_1, -1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 15, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_VerificatableResult); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 15, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_VerificatableResult, __pyx_t_1) < 0) __PYX_ERR(0, 15, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":16
 * from pydbm.cnn.feature_generator import FeatureGenerator
 * from pydbm.verification.interface.verificatable_result import VerificatableResult
 * from pydbm.loss.interface.computable_loss import ComputableLoss             # <<<<<<<<<<<<<<
 * from pydbm.optimization.opt_params import OptParams
 * from pydbm.rnn.interface.reconstructable_model import ReconstructableModel
 */
  __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 16, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_INCREF(__pyx_n_s_ComputableLoss);
  __Pyx_GIVEREF(__pyx_n_s_ComputableLoss);
  PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_ComputableLoss);
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_pydbm_loss_interface_computable, __pyx_t_2, -1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 16, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_ComputableLoss); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 16, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_ComputableLoss, __pyx_t_2) < 0) __PYX_ERR(0, 16, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":17
 * from pydbm.verification.interface.verificatable_result import VerificatableResult
 * from pydbm.loss.interface.computable_loss import ComputableLoss
 * from pydbm.optimization.opt_params import OptParams             # <<<<<<<<<<<<<<
 * from pydbm.rnn.interface.reconstructable_model import ReconstructableModel
 * 
 */
  __pyx_t_1 = PyList_New(1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 17, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_INCREF(__pyx_n_s_OptParams);
  __Pyx_GIVEREF(__pyx_n_s_OptParams);
  PyList_SET_ITEM(__pyx_t_1, 0, __pyx_n_s_OptParams);
  __pyx_t_2 = __Pyx_Import(__pyx_n_s_pydbm_optimization_opt_params, __pyx_t_1, -1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 17, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_ImportFrom(__pyx_t_2, __pyx_n_s_OptParams); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 17, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_OptParams, __pyx_t_1) < 0) __PYX_ERR(0, 17, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":18
 * from pydbm.loss.interface.computable_loss import ComputableLoss
 * from pydbm.optimization.opt_params import OptParams
 * from pydbm.rnn.interface.reconstructable_model import ReconstructableModel             # <<<<<<<<<<<<<<
 * 
 * 
 */
  __pyx_t_2 = PyList_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_INCREF(__pyx_n_s_ReconstructableModel);
  __Pyx_GIVEREF(__pyx_n_s_ReconstructableModel);
  PyList_SET_ITEM(__pyx_t_2, 0, __pyx_n_s_ReconstructableModel);
  __pyx_t_1 = __Pyx_Import(__pyx_n_s_pydbm_rnn_interface_reconstructa, __pyx_t_2, -1); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __pyx_t_2 = __Pyx_ImportFrom(__pyx_t_1, __pyx_n_s_ReconstructableModel); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_ReconstructableModel, __pyx_t_2) < 0) __PYX_ERR(0, 18, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":22
 * 
 * 
 * class ConvLSTMModel(ReconstructableModel):             # <<<<<<<<<<<<<<
 *     '''
 *     Convolutional LSTM(ConvLSTM).
 */
  __pyx_t_1 = __Pyx_GetModuleGlobalName(__pyx_n_s_ReconstructableModel); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 22, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_2 = PyTuple_New(1); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 22, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  __Pyx_GIVEREF(__pyx_t_1);
  PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_t_1);
  __pyx_t_1 = 0;
  __pyx_t_1 = __Pyx_CalculateMetaclass(NULL, __pyx_t_2); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 22, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_1);
  __pyx_t_3 = __Pyx_Py3MetaclassPrepare(__pyx_t_1, __pyx_t_2, __pyx_n_s_ConvLSTMModel, __pyx_n_s_ConvLSTMModel, (PyObject *) NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_kp_s_Convolutional_LSTM_ConvLSTM_Con); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 22, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_3);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":37
 *     '''
 *     # is-a `Synapse`.
 *     __graph = None             # <<<<<<<<<<<<<<
 * 
 *     def get_graph(self):
 */
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_ConvLSTMModel__graph, Py_None) < 0) __PYX_ERR(0, 37, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":39
 *     __graph = None
 * 
 *     def get_graph(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         if isinstance(self.__graph, Synapse) is False:
 */
  __pyx_t_4 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_1get_graph, 0, __pyx_n_s_ConvLSTMModel_get_graph, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__139)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 39, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_get_graph, __pyx_t_4) < 0) __PYX_ERR(0, 39, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":46
 *         return self.__graph
 * 
 *     def set_graph(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         if isinstance(value, Synapse) is False:
 */
  __pyx_t_4 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_3set_graph, 0, __pyx_n_s_ConvLSTMModel_set_graph, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__141)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 46, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_set_graph, __pyx_t_4) < 0) __PYX_ERR(0, 46, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_4); __pyx_t_4 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":52
 *         self.__graph = value
 * 
 *     graph = property(get_graph, set_graph)             # <<<<<<<<<<<<<<
 * 
 *     # is-a `OptParams`.
 */
  __pyx_t_4 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_get_graph);
  if (unlikely(!__pyx_t_4)) {
    PyErr_Clear();
    __pyx_t_4 = __Pyx_GetModuleGlobalName(__pyx_n_s_get_graph);
  }
  if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 52, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);
  __pyx_t_5 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_set_graph);
  if (unlikely(!__pyx_t_5)) {
    PyErr_Clear();
    __pyx_t_5 = __Pyx_GetModuleGlobalName(__pyx_n_s_set_graph);
  }
  if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 52, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __pyx_t_6 = PyTuple_New(2); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 52, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);
  __Pyx_GIVEREF(__pyx_t_4);
  PyTuple_SET_ITEM(__pyx_t_6, 0, __pyx_t_4);
  __Pyx_GIVEREF(__pyx_t_5);
  PyTuple_SET_ITEM(__pyx_t_6, 1, __pyx_t_5);
  __pyx_t_4 = 0;
  __pyx_t_5 = 0;
  __pyx_t_5 = __Pyx_PyObject_Call(__pyx_builtin_property, __pyx_t_6, NULL); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 52, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  __Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_graph, __pyx_t_5) < 0) __PYX_ERR(0, 52, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":55
 * 
 *     # is-a `OptParams`.
 *     __opt_params = None             # <<<<<<<<<<<<<<
 * 
 *     # Verification function.
 */
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_ConvLSTMModel__opt_params, Py_None) < 0) __PYX_ERR(0, 55, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":58
 * 
 *     # Verification function.
 *     __verificatable_result = None             # <<<<<<<<<<<<<<
 * 
 *     # The list of paramters to be differentiated.
 */
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_ConvLSTMModel__verificatable_re, Py_None) < 0) __PYX_ERR(0, 58, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":61
 * 
 *     # The list of paramters to be differentiated.
 *     __learned_params_list = []             # <<<<<<<<<<<<<<
 * 
 *     # Latest loss
 */
  __pyx_t_5 = PyList_New(0); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 61, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_ConvLSTMModel__learned_params_l, __pyx_t_5) < 0) __PYX_ERR(0, 61, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":64
 * 
 *     # Latest loss
 *     __latest_loss = None             # <<<<<<<<<<<<<<
 * 
 *     # Latest length of sequneces.
 */
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_ConvLSTMModel__latest_loss, Py_None) < 0) __PYX_ERR(0, 64, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":67
 * 
 *     # Latest length of sequneces.
 *     __cycle_len = 1             # <<<<<<<<<<<<<<
 * 
 *     # Observed shape of hidden units.
 */
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_ConvLSTMModel__cycle_len, __pyx_int_1) < 0) __PYX_ERR(0, 67, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":70
 * 
 *     # Observed shape of hidden units.
 *     __hidden_shape = None             # <<<<<<<<<<<<<<
 * 
 *     def __init__(
 */
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_ConvLSTMModel__hidden_shape, Py_None) < 0) __PYX_ERR(0, 70, __pyx_L1_error)

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":75
 *         self,
 *         graph,
 *         int epochs=100,             # <<<<<<<<<<<<<<
 *         int batch_size=100,
 *         double learning_rate=1e-05,
 */
  __pyx_t_5 = __Pyx_PyInt_From_int(((int)0x64)); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 75, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_5);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":76
 *         graph,
 *         int epochs=100,
 *         int batch_size=100,             # <<<<<<<<<<<<<<
 *         double learning_rate=1e-05,
 *         double learning_attenuate_rate=0.1,
 */
  __pyx_t_6 = __Pyx_PyInt_From_int(((int)0x64)); if (unlikely(!__pyx_t_6)) __PYX_ERR(0, 76, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_6);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":77
 *         int epochs=100,
 *         int batch_size=100,
 *         double learning_rate=1e-05,             # <<<<<<<<<<<<<<
 *         double learning_attenuate_rate=0.1,
 *         int attenuate_epoch=50,
 */
  __pyx_t_4 = PyFloat_FromDouble(((double)1e-05)); if (unlikely(!__pyx_t_4)) __PYX_ERR(0, 77, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_4);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":78
 *         int batch_size=100,
 *         double learning_rate=1e-05,
 *         double learning_attenuate_rate=0.1,             # <<<<<<<<<<<<<<
 *         int attenuate_epoch=50,
 *         given_conv=None,
 */
  __pyx_t_7 = PyFloat_FromDouble(((double)0.1)); if (unlikely(!__pyx_t_7)) __PYX_ERR(0, 78, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_7);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":79
 *         double learning_rate=1e-05,
 *         double learning_attenuate_rate=0.1,
 *         int attenuate_epoch=50,             # <<<<<<<<<<<<<<
 *         given_conv=None,
 *         input_conv=None,
 */
  __pyx_t_8 = __Pyx_PyInt_From_int(((int)50)); if (unlikely(!__pyx_t_8)) __PYX_ERR(0, 79, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_8);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":84
 *         forgot_conv=None,
 *         output_conv=None,
 *         int filter_num=20,             # <<<<<<<<<<<<<<
 *         int channel=3,
 *         int kernel_size=3,
 */
  __pyx_t_9 = __Pyx_PyInt_From_int(((int)20)); if (unlikely(!__pyx_t_9)) __PYX_ERR(0, 84, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_9);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":85
 *         output_conv=None,
 *         int filter_num=20,
 *         int channel=3,             # <<<<<<<<<<<<<<
 *         int kernel_size=3,
 *         double scale=0.1,
 */
  __pyx_t_10 = __Pyx_PyInt_From_int(((int)3)); if (unlikely(!__pyx_t_10)) __PYX_ERR(0, 85, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_10);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":86
 *         int filter_num=20,
 *         int channel=3,
 *         int kernel_size=3,             # <<<<<<<<<<<<<<
 *         double scale=0.1,
 *         int stride=1,
 */
  __pyx_t_11 = __Pyx_PyInt_From_int(((int)3)); if (unlikely(!__pyx_t_11)) __PYX_ERR(0, 86, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_11);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":87
 *         int channel=3,
 *         int kernel_size=3,
 *         double scale=0.1,             # <<<<<<<<<<<<<<
 *         int stride=1,
 *         int pad=1,
 */
  __pyx_t_12 = PyFloat_FromDouble(((double)0.1)); if (unlikely(!__pyx_t_12)) __PYX_ERR(0, 87, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_12);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":88
 *         int kernel_size=3,
 *         double scale=0.1,
 *         int stride=1,             # <<<<<<<<<<<<<<
 *         int pad=1,
 *         int seq_len=0,
 */
  __pyx_t_13 = __Pyx_PyInt_From_int(((int)1)); if (unlikely(!__pyx_t_13)) __PYX_ERR(0, 88, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_13);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":89
 *         double scale=0.1,
 *         int stride=1,
 *         int pad=1,             # <<<<<<<<<<<<<<
 *         int seq_len=0,
 *         int bptt_tau=16,
 */
  __pyx_t_14 = __Pyx_PyInt_From_int(((int)1)); if (unlikely(!__pyx_t_14)) __PYX_ERR(0, 89, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_14);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":90
 *         int stride=1,
 *         int pad=1,
 *         int seq_len=0,             # <<<<<<<<<<<<<<
 *         int bptt_tau=16,
 *         double test_size_rate=0.3,
 */
  __pyx_t_15 = __Pyx_PyInt_From_int(((int)0)); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 90, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":91
 *         int pad=1,
 *         int seq_len=0,
 *         int bptt_tau=16,             # <<<<<<<<<<<<<<
 *         double test_size_rate=0.3,
 *         computable_loss=None,
 */
  __pyx_t_16 = __Pyx_PyInt_From_int(((int)16)); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 91, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_16);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":92
 *         int seq_len=0,
 *         int bptt_tau=16,
 *         double test_size_rate=0.3,             # <<<<<<<<<<<<<<
 *         computable_loss=None,
 *         opt_params=None,
 */
  __pyx_t_17 = PyFloat_FromDouble(((double)0.3)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 92, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":72
 *     __hidden_shape = None
 * 
 *     def __init__(             # <<<<<<<<<<<<<<
 *         self,
 *         graph,
 */
  __pyx_t_18 = PyTuple_New(24); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 72, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __Pyx_GIVEREF(__pyx_t_5);
  PyTuple_SET_ITEM(__pyx_t_18, 0, __pyx_t_5);
  __Pyx_GIVEREF(__pyx_t_6);
  PyTuple_SET_ITEM(__pyx_t_18, 1, __pyx_t_6);
  __Pyx_GIVEREF(__pyx_t_4);
  PyTuple_SET_ITEM(__pyx_t_18, 2, __pyx_t_4);
  __Pyx_GIVEREF(__pyx_t_7);
  PyTuple_SET_ITEM(__pyx_t_18, 3, __pyx_t_7);
  __Pyx_GIVEREF(__pyx_t_8);
  PyTuple_SET_ITEM(__pyx_t_18, 4, __pyx_t_8);
  __Pyx_INCREF(((PyObject *)Py_None));
  __Pyx_GIVEREF(((PyObject *)Py_None));
  PyTuple_SET_ITEM(__pyx_t_18, 5, ((PyObject *)Py_None));
  __Pyx_INCREF(((PyObject *)Py_None));
  __Pyx_GIVEREF(((PyObject *)Py_None));
  PyTuple_SET_ITEM(__pyx_t_18, 6, ((PyObject *)Py_None));
  __Pyx_INCREF(((PyObject *)Py_None));
  __Pyx_GIVEREF(((PyObject *)Py_None));
  PyTuple_SET_ITEM(__pyx_t_18, 7, ((PyObject *)Py_None));
  __Pyx_INCREF(((PyObject *)Py_None));
  __Pyx_GIVEREF(((PyObject *)Py_None));
  PyTuple_SET_ITEM(__pyx_t_18, 8, ((PyObject *)Py_None));
  __Pyx_GIVEREF(__pyx_t_9);
  PyTuple_SET_ITEM(__pyx_t_18, 9, __pyx_t_9);
  __Pyx_GIVEREF(__pyx_t_10);
  PyTuple_SET_ITEM(__pyx_t_18, 10, __pyx_t_10);
  __Pyx_GIVEREF(__pyx_t_11);
  PyTuple_SET_ITEM(__pyx_t_18, 11, __pyx_t_11);
  __Pyx_GIVEREF(__pyx_t_12);
  PyTuple_SET_ITEM(__pyx_t_18, 12, __pyx_t_12);
  __Pyx_GIVEREF(__pyx_t_13);
  PyTuple_SET_ITEM(__pyx_t_18, 13, __pyx_t_13);
  __Pyx_GIVEREF(__pyx_t_14);
  PyTuple_SET_ITEM(__pyx_t_18, 14, __pyx_t_14);
  __Pyx_GIVEREF(__pyx_t_15);
  PyTuple_SET_ITEM(__pyx_t_18, 15, __pyx_t_15);
  __Pyx_GIVEREF(__pyx_t_16);
  PyTuple_SET_ITEM(__pyx_t_18, 16, __pyx_t_16);
  __Pyx_GIVEREF(__pyx_t_17);
  PyTuple_SET_ITEM(__pyx_t_18, 17, __pyx_t_17);
  __Pyx_INCREF(((PyObject *)Py_None));
  __Pyx_GIVEREF(((PyObject *)Py_None));
  PyTuple_SET_ITEM(__pyx_t_18, 18, ((PyObject *)Py_None));
  __Pyx_INCREF(((PyObject *)Py_None));
  __Pyx_GIVEREF(((PyObject *)Py_None));
  PyTuple_SET_ITEM(__pyx_t_18, 19, ((PyObject *)Py_None));
  __Pyx_INCREF(((PyObject *)Py_None));
  __Pyx_GIVEREF(((PyObject *)Py_None));
  PyTuple_SET_ITEM(__pyx_t_18, 20, ((PyObject *)Py_None));
  __Pyx_INCREF(((PyObject*)__pyx_float_1eneg_04));
  __Pyx_GIVEREF(((PyObject*)__pyx_float_1eneg_04));
  PyTuple_SET_ITEM(__pyx_t_18, 21, ((PyObject*)__pyx_float_1eneg_04));
  __Pyx_INCREF(((PyObject*)__pyx_float_100_0));
  __Pyx_GIVEREF(((PyObject*)__pyx_float_100_0));
  PyTuple_SET_ITEM(__pyx_t_18, 22, ((PyObject*)__pyx_float_100_0));
  __Pyx_INCREF(((PyObject *)Py_None));
  __Pyx_GIVEREF(((PyObject *)Py_None));
  PyTuple_SET_ITEM(__pyx_t_18, 23, ((PyObject *)Py_None));
  __pyx_t_5 = 0;
  __pyx_t_6 = 0;
  __pyx_t_4 = 0;
  __pyx_t_7 = 0;
  __pyx_t_8 = 0;
  __pyx_t_9 = 0;
  __pyx_t_10 = 0;
  __pyx_t_11 = 0;
  __pyx_t_12 = 0;
  __pyx_t_13 = 0;
  __pyx_t_14 = 0;
  __pyx_t_15 = 0;
  __pyx_t_16 = 0;
  __pyx_t_17 = 0;
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_5__init__, 0, __pyx_n_s_ConvLSTMModel___init, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__143)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 72, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_17, __pyx_t_18);
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_init, __pyx_t_17) < 0) __PYX_ERR(0, 72, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":311
 *         self.__logger = logger
 * 
 *     def learn(self, np.ndarray[DOUBLE_t, ndim=5] observed_arr, np.ndarray target_arr=np.array([])):             # <<<<<<<<<<<<<<
 *         '''
 *         Learn the observed data points
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_7learn, 0, __pyx_n_s_ConvLSTMModel_learn, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__145)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 311, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (!__Pyx_CyFunction_InitDefaults(__pyx_t_17, sizeof(__pyx_defaults), 1)) __PYX_ERR(0, 311, __pyx_L1_error)
  __pyx_t_18 = __Pyx_GetModuleGlobalName(__pyx_n_s_np); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 311, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __pyx_t_16 = __Pyx_PyObject_GetAttrStr(__pyx_t_18, __pyx_n_s_array); if (unlikely(!__pyx_t_16)) __PYX_ERR(0, 311, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_16);
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;
  __pyx_t_18 = PyList_New(0); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 311, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __pyx_t_15 = __Pyx_PyObject_CallOneArg(__pyx_t_16, __pyx_t_18); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 311, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __Pyx_DECREF(__pyx_t_16); __pyx_t_16 = 0;
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;
  if (!(likely(((__pyx_t_15) == Py_None) || likely(__Pyx_TypeTest(__pyx_t_15, __pyx_ptype_5numpy_ndarray))))) __PYX_ERR(0, 311, __pyx_L1_error)
  __Pyx_CyFunction_Defaults(__pyx_defaults, __pyx_t_17)->__pyx_arg_target_arr = ((PyArrayObject *)__pyx_t_15);
  __Pyx_GIVEREF(__pyx_t_15);
  __pyx_t_15 = 0;
  __Pyx_CyFunction_SetDefaultsGetter(__pyx_t_17, __pyx_pf_5pydbm_3rnn_9lstmmodel_15conv_lstm_model___defaults__);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_learn, __pyx_t_17) < 0) __PYX_ERR(0, 311, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":555
 *         self.__logger.debug("end. ")
 * 
 *     def learn_generated(self, feature_generator):             # <<<<<<<<<<<<<<
 *         '''
 *         Learn features generated by `FeatureGenerator`.
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_9learn_generated, 0, __pyx_n_s_ConvLSTMModel_learn_generated, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__147)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 555, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_learn_generated, __pyx_t_17) < 0) __PYX_ERR(0, 555, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":766
 *         self.__logger.debug("end. ")
 * 
 *     def __remember_best_params(self, best_params_list):             # <<<<<<<<<<<<<<
 *         '''
 *         Remember best parameters.
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_11__remember_best_params, 0, __pyx_n_s_ConvLSTMModel___remember_best_pa, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__149)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 766, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_ConvLSTMModel__remember_best_pa, __pyx_t_17) < 0) __PYX_ERR(0, 766, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":785
 *             self.__logger.debug("Best params are saved.")
 * 
 *     def forward_propagation(self, np.ndarray batch_observed_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Forward propagation.
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_13forward_propagation, 0, __pyx_n_s_ConvLSTMModel_forward_propagatio, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__151)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 785, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_forward_propagation, __pyx_t_17) < 0) __PYX_ERR(0, 785, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":834
 *         return pred_arr
 * 
 *     def back_propagation(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray pred_arr,
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_15back_propagation, 0, __pyx_n_s_ConvLSTMModel_back_propagation, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__154)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 834, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_back_propagation, __pyx_t_17) < 0) __PYX_ERR(0, 834, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":870
 *         return (delta_arr, grads_list)
 * 
 *     def optimize(             # <<<<<<<<<<<<<<
 *         self,
 *         grads_list,
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_17optimize, 0, __pyx_n_s_ConvLSTMModel_optimize, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__156)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 870, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_optimize, __pyx_t_17) < 0) __PYX_ERR(0, 870, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1019
 *         self.__output_conv.reset_delta()
 * 
 *     def inference(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray observed_arr,
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_19inference, 0, __pyx_n_s_ConvLSTMModel_inference, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__158)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1019, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_17, __pyx_tuple__159);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_inference, __pyx_t_17) < 0) __PYX_ERR(0, 1019, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1057
 *         return pred_arr
 * 
 *     def get_feature_points(self):             # <<<<<<<<<<<<<<
 *         '''
 *         Extract the activities in hidden layer and reset it,
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_21get_feature_points, 0, __pyx_n_s_ConvLSTMModel_get_feature_points, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__161)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1057, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_get_feature_points, __pyx_t_17) < 0) __PYX_ERR(0, 1057, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1067
 *         return self.graph.hidden_activity_arr
 * 
 *     def hidden_forward_propagate(self, np.ndarray[DOUBLE_t, ndim=5] observed_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Forward propagation in LSTM gate.
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_23hidden_forward_propagate, 0, __pyx_n_s_ConvLSTMModel_hidden_forward_pro, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__163)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1067, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_hidden_forward_propagate, __pyx_t_17) < 0) __PYX_ERR(0, 1067, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1122
 *         return pred_arr
 * 
 *     def output_forward_propagate(self, np.ndarray[DOUBLE_t, ndim=5] pred_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Forward propagation in output layer.
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_25output_forward_propagate, 0, __pyx_n_s_ConvLSTMModel_output_forward_pro, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__165)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1122, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_output_forward_propagate, __pyx_t_17) < 0) __PYX_ERR(0, 1122, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1134
 *         return pred_arr
 * 
 *     def output_back_propagate(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray[DOUBLE_t, ndim=5] pred_arr,
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_27output_back_propagate, 0, __pyx_n_s_ConvLSTMModel_output_back_propag, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__167)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1134, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_output_back_propagate, __pyx_t_17) < 0) __PYX_ERR(0, 1134, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1153
 *         return (delta_arr, [])
 * 
 *     def hidden_back_propagate(self, np.ndarray[DOUBLE_t, ndim=4] delta_output_arr):             # <<<<<<<<<<<<<<
 *         '''
 *         Back propagation in hidden layer.
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_29hidden_back_propagate, 0, __pyx_n_s_ConvLSTMModel_hidden_back_propag, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__169)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1153, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_hidden_back_propagate, __pyx_t_17) < 0) __PYX_ERR(0, 1153, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1205
 *         return delta_arr, delta_hidden_arr, []
 * 
 *     def __lstm_forward(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray[DOUBLE_t, ndim=4] observed_arr,
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_31__lstm_forward, 0, __pyx_n_s_ConvLSTMModel___lstm_forward, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__171)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1205, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_ConvLSTMModel__lstm_forward, __pyx_t_17) < 0) __PYX_ERR(0, 1205, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1283
 *         return (_hidden_activity_arr, _cec_activity_arr)
 * 
 *     def lstm_backward(             # <<<<<<<<<<<<<<
 *         self,
 *         np.ndarray[DOUBLE_t, ndim=4] delta_hidden_arr,
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_33lstm_backward, 0, __pyx_n_s_ConvLSTMModel_lstm_backward, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__173)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1283, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_lstm_backward, __pyx_t_17) < 0) __PYX_ERR(0, 1283, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1386
 *         return (delta_pre_hidden_arr, delta_pre_rnn_arr)
 * 
 *     def save_pre_learned_params(self, dir_name, file_name=None):             # <<<<<<<<<<<<<<
 *         '''
 *         Save pre-learned parameters.
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_35save_pre_learned_params, 0, __pyx_n_s_ConvLSTMModel_save_pre_learned_p, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__175)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1386, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_17, __pyx_tuple__176);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_save_pre_learned_params, __pyx_t_17) < 0) __PYX_ERR(0, 1386, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1415
 *         )
 * 
 *     def load_pre_learned_params(self, dir_name, file_name=None):             # <<<<<<<<<<<<<<
 *         '''
 *         Load pre-learned parameters.
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_37load_pre_learned_params, 0, __pyx_n_s_ConvLSTMModel_load_pre_learned_p, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__178)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1415, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_17, __pyx_tuple__179);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_load_pre_learned_params, __pyx_t_17) < 0) __PYX_ERR(0, 1415, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1444
 *         )
 * 
 *     def get_verificatable_result(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         if isinstance(self.__verificatable_result, VerificatableResult):
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_39get_verificatable_result, 0, __pyx_n_s_ConvLSTMModel_get_verificatable, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__181)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1444, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_get_verificatable_result, __pyx_t_17) < 0) __PYX_ERR(0, 1444, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1451
 *             raise TypeError()
 * 
 *     def set_verificatable_result(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         if isinstance(value, VerificatableResult):
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_41set_verificatable_result, 0, __pyx_n_s_ConvLSTMModel_set_verificatable, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__183)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1451, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_set_verificatable_result, __pyx_t_17) < 0) __PYX_ERR(0, 1451, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1458
 *             raise TypeError()
 * 
 *     verificatable_result = property(get_verificatable_result, set_verificatable_result)             # <<<<<<<<<<<<<<
 * 
 *     def get_opt_params(self):
 */
  __pyx_t_17 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_get_verificatable_result);
  if (unlikely(!__pyx_t_17)) {
    PyErr_Clear();
    __pyx_t_17 = __Pyx_GetModuleGlobalName(__pyx_n_s_get_verificatable_result);
  }
  if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1458, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __pyx_t_15 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_set_verificatable_result);
  if (unlikely(!__pyx_t_15)) {
    PyErr_Clear();
    __pyx_t_15 = __Pyx_GetModuleGlobalName(__pyx_n_s_set_verificatable_result);
  }
  if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1458, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __pyx_t_18 = PyTuple_New(2); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1458, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __Pyx_GIVEREF(__pyx_t_17);
  PyTuple_SET_ITEM(__pyx_t_18, 0, __pyx_t_17);
  __Pyx_GIVEREF(__pyx_t_15);
  PyTuple_SET_ITEM(__pyx_t_18, 1, __pyx_t_15);
  __pyx_t_17 = 0;
  __pyx_t_15 = 0;
  __pyx_t_15 = __Pyx_PyObject_Call(__pyx_builtin_property, __pyx_t_18, NULL); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1458, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_verificatable_result, __pyx_t_15) < 0) __PYX_ERR(0, 1458, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1460
 *     verificatable_result = property(get_verificatable_result, set_verificatable_result)
 * 
 *     def get_opt_params(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         if isinstance(self.__opt_params, OptParams):
 */
  __pyx_t_15 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_43get_opt_params, 0, __pyx_n_s_ConvLSTMModel_get_opt_params, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__185)); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1460, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_get_opt_params, __pyx_t_15) < 0) __PYX_ERR(0, 1460, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1467
 *             raise TypeError()
 * 
 *     def set_opt_params(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         if isinstance(value, OptParams):
 */
  __pyx_t_15 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_45set_opt_params, 0, __pyx_n_s_ConvLSTMModel_set_opt_params, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__187)); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1467, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_set_opt_params, __pyx_t_15) < 0) __PYX_ERR(0, 1467, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1474
 *             raise TypeError()
 * 
 *     opt_params = property(get_opt_params, set_opt_params)             # <<<<<<<<<<<<<<
 * 
 *     def get_given_conv(self):
 */
  __pyx_t_15 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_get_opt_params);
  if (unlikely(!__pyx_t_15)) {
    PyErr_Clear();
    __pyx_t_15 = __Pyx_GetModuleGlobalName(__pyx_n_s_get_opt_params);
  }
  if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1474, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __pyx_t_18 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_set_opt_params);
  if (unlikely(!__pyx_t_18)) {
    PyErr_Clear();
    __pyx_t_18 = __Pyx_GetModuleGlobalName(__pyx_n_s_set_opt_params);
  }
  if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1474, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __pyx_t_17 = PyTuple_New(2); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1474, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __Pyx_GIVEREF(__pyx_t_15);
  PyTuple_SET_ITEM(__pyx_t_17, 0, __pyx_t_15);
  __Pyx_GIVEREF(__pyx_t_18);
  PyTuple_SET_ITEM(__pyx_t_17, 1, __pyx_t_18);
  __pyx_t_15 = 0;
  __pyx_t_18 = 0;
  __pyx_t_18 = __Pyx_PyObject_Call(__pyx_builtin_property, __pyx_t_17, NULL); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1474, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_opt_params, __pyx_t_18) < 0) __PYX_ERR(0, 1474, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1476
 *     opt_params = property(get_opt_params, set_opt_params)
 * 
 *     def get_given_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__given_conv
 */
  __pyx_t_18 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_47get_given_conv, 0, __pyx_n_s_ConvLSTMModel_get_given_conv, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__189)); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1476, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_get_given_conv, __pyx_t_18) < 0) __PYX_ERR(0, 1476, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1480
 *         return self.__given_conv
 * 
 *     def set_given_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__given_conv = value
 */
  __pyx_t_18 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_49set_given_conv, 0, __pyx_n_s_ConvLSTMModel_set_given_conv, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__191)); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1480, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_set_given_conv, __pyx_t_18) < 0) __PYX_ERR(0, 1480, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1484
 *         self.__given_conv = value
 * 
 *     given_conv = property(get_given_conv, set_given_conv)             # <<<<<<<<<<<<<<
 * 
 *     def get_input_conv(self):
 */
  __pyx_t_18 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_get_given_conv);
  if (unlikely(!__pyx_t_18)) {
    PyErr_Clear();
    __pyx_t_18 = __Pyx_GetModuleGlobalName(__pyx_n_s_get_given_conv);
  }
  if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1484, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __pyx_t_17 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_set_given_conv);
  if (unlikely(!__pyx_t_17)) {
    PyErr_Clear();
    __pyx_t_17 = __Pyx_GetModuleGlobalName(__pyx_n_s_set_given_conv);
  }
  if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1484, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __pyx_t_15 = PyTuple_New(2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1484, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __Pyx_GIVEREF(__pyx_t_18);
  PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_18);
  __Pyx_GIVEREF(__pyx_t_17);
  PyTuple_SET_ITEM(__pyx_t_15, 1, __pyx_t_17);
  __pyx_t_18 = 0;
  __pyx_t_17 = 0;
  __pyx_t_17 = __Pyx_PyObject_Call(__pyx_builtin_property, __pyx_t_15, NULL); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1484, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_given_conv, __pyx_t_17) < 0) __PYX_ERR(0, 1484, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1486
 *     given_conv = property(get_given_conv, set_given_conv)
 * 
 *     def get_input_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__input_conv
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_51get_input_conv, 0, __pyx_n_s_ConvLSTMModel_get_input_conv, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__193)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1486, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_get_input_conv, __pyx_t_17) < 0) __PYX_ERR(0, 1486, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1490
 *         return self.__input_conv
 * 
 *     def set_input_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__input_conv = value
 */
  __pyx_t_17 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_53set_input_conv, 0, __pyx_n_s_ConvLSTMModel_set_input_conv, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__195)); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1490, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_set_input_conv, __pyx_t_17) < 0) __PYX_ERR(0, 1490, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1494
 *         self.__input_conv = value
 * 
 *     input_conv = property(get_input_conv, set_input_conv)             # <<<<<<<<<<<<<<
 * 
 *     def get_forgot_conv(self):
 */
  __pyx_t_17 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_get_input_conv);
  if (unlikely(!__pyx_t_17)) {
    PyErr_Clear();
    __pyx_t_17 = __Pyx_GetModuleGlobalName(__pyx_n_s_get_input_conv);
  }
  if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1494, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __pyx_t_15 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_set_input_conv);
  if (unlikely(!__pyx_t_15)) {
    PyErr_Clear();
    __pyx_t_15 = __Pyx_GetModuleGlobalName(__pyx_n_s_set_input_conv);
  }
  if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1494, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __pyx_t_18 = PyTuple_New(2); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1494, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __Pyx_GIVEREF(__pyx_t_17);
  PyTuple_SET_ITEM(__pyx_t_18, 0, __pyx_t_17);
  __Pyx_GIVEREF(__pyx_t_15);
  PyTuple_SET_ITEM(__pyx_t_18, 1, __pyx_t_15);
  __pyx_t_17 = 0;
  __pyx_t_15 = 0;
  __pyx_t_15 = __Pyx_PyObject_Call(__pyx_builtin_property, __pyx_t_18, NULL); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1494, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_input_conv, __pyx_t_15) < 0) __PYX_ERR(0, 1494, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1496
 *     input_conv = property(get_input_conv, set_input_conv)
 * 
 *     def get_forgot_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__forgot_conv
 */
  __pyx_t_15 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_55get_forgot_conv, 0, __pyx_n_s_ConvLSTMModel_get_forgot_conv, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__197)); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1496, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_get_forgot_conv, __pyx_t_15) < 0) __PYX_ERR(0, 1496, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1500
 *         return self.__forgot_conv
 * 
 *     def set_forgot_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__forgot_conv = value
 */
  __pyx_t_15 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_57set_forgot_conv, 0, __pyx_n_s_ConvLSTMModel_set_forgot_conv, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__199)); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1500, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_set_forgot_conv, __pyx_t_15) < 0) __PYX_ERR(0, 1500, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1504
 *         self.__forgot_conv = value
 * 
 *     forgot_conv = property(get_forgot_conv, set_forgot_conv)             # <<<<<<<<<<<<<<
 * 
 *     def get_output_conv(self):
 */
  __pyx_t_15 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_get_forgot_conv);
  if (unlikely(!__pyx_t_15)) {
    PyErr_Clear();
    __pyx_t_15 = __Pyx_GetModuleGlobalName(__pyx_n_s_get_forgot_conv);
  }
  if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1504, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __pyx_t_18 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_set_forgot_conv);
  if (unlikely(!__pyx_t_18)) {
    PyErr_Clear();
    __pyx_t_18 = __Pyx_GetModuleGlobalName(__pyx_n_s_set_forgot_conv);
  }
  if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1504, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __pyx_t_17 = PyTuple_New(2); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1504, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __Pyx_GIVEREF(__pyx_t_15);
  PyTuple_SET_ITEM(__pyx_t_17, 0, __pyx_t_15);
  __Pyx_GIVEREF(__pyx_t_18);
  PyTuple_SET_ITEM(__pyx_t_17, 1, __pyx_t_18);
  __pyx_t_15 = 0;
  __pyx_t_18 = 0;
  __pyx_t_18 = __Pyx_PyObject_Call(__pyx_builtin_property, __pyx_t_17, NULL); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1504, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_forgot_conv, __pyx_t_18) < 0) __PYX_ERR(0, 1504, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1506
 *     forgot_conv = property(get_forgot_conv, set_forgot_conv)
 * 
 *     def get_output_conv(self):             # <<<<<<<<<<<<<<
 *         ''' getter '''
 *         return self.__output_conv
 */
  __pyx_t_18 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_59get_output_conv, 0, __pyx_n_s_ConvLSTMModel_get_output_conv, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__201)); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1506, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_get_output_conv, __pyx_t_18) < 0) __PYX_ERR(0, 1506, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1510
 *         return self.__output_conv
 * 
 *     def set_output_conv(self, value):             # <<<<<<<<<<<<<<
 *         ''' setter '''
 *         self.__output_conv = value
 */
  __pyx_t_18 = __Pyx_CyFunction_NewEx(&__pyx_mdef_5pydbm_3rnn_9lstmmodel_15conv_lstm_model_13ConvLSTMModel_61set_output_conv, 0, __pyx_n_s_ConvLSTMModel_set_output_conv, NULL, __pyx_n_s_pydbm_rnn_lstmmodel_conv_lstm_mo, __pyx_d, ((PyObject *)__pyx_codeobj__203)); if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1510, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_set_output_conv, __pyx_t_18) < 0) __PYX_ERR(0, 1510, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_18); __pyx_t_18 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1514
 *         self.__output_conv = value
 * 
 *     output_conv = property(get_output_conv, set_output_conv)             # <<<<<<<<<<<<<<
 */
  __pyx_t_18 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_get_output_conv);
  if (unlikely(!__pyx_t_18)) {
    PyErr_Clear();
    __pyx_t_18 = __Pyx_GetModuleGlobalName(__pyx_n_s_get_output_conv);
  }
  if (unlikely(!__pyx_t_18)) __PYX_ERR(0, 1514, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_18);
  __pyx_t_17 = PyObject_GetItem(__pyx_t_3, __pyx_n_s_set_output_conv);
  if (unlikely(!__pyx_t_17)) {
    PyErr_Clear();
    __pyx_t_17 = __Pyx_GetModuleGlobalName(__pyx_n_s_set_output_conv);
  }
  if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1514, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __pyx_t_15 = PyTuple_New(2); if (unlikely(!__pyx_t_15)) __PYX_ERR(0, 1514, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_15);
  __Pyx_GIVEREF(__pyx_t_18);
  PyTuple_SET_ITEM(__pyx_t_15, 0, __pyx_t_18);
  __Pyx_GIVEREF(__pyx_t_17);
  PyTuple_SET_ITEM(__pyx_t_15, 1, __pyx_t_17);
  __pyx_t_18 = 0;
  __pyx_t_17 = 0;
  __pyx_t_17 = __Pyx_PyObject_Call(__pyx_builtin_property, __pyx_t_15, NULL); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 1514, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  __Pyx_DECREF(__pyx_t_15); __pyx_t_15 = 0;
  if (__Pyx_SetNameInClass(__pyx_t_3, __pyx_n_s_output_conv, __pyx_t_17) < 0) __PYX_ERR(0, 1514, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":22
 * 
 * 
 * class ConvLSTMModel(ReconstructableModel):             # <<<<<<<<<<<<<<
 *     '''
 *     Convolutional LSTM(ConvLSTM).
 */
  __pyx_t_17 = __Pyx_Py3ClassCreate(__pyx_t_1, __pyx_n_s_ConvLSTMModel, __pyx_t_2, __pyx_t_3, NULL, 0, 1); if (unlikely(!__pyx_t_17)) __PYX_ERR(0, 22, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_17);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_ConvLSTMModel, __pyx_t_17) < 0) __PYX_ERR(0, 22, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_17); __pyx_t_17 = 0;
  __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
  __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "pydbm/rnn/lstmmodel/conv_lstm_model.pyx":1
 * # -*- coding: utf-8 -*-             # <<<<<<<<<<<<<<
 * from logging import getLogger
 * import numpy as np
 */
  __pyx_t_2 = __Pyx_PyDict_NewPresized(0); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 1, __pyx_L1_error)
  __Pyx_GOTREF(__pyx_t_2);
  if (PyDict_SetItem(__pyx_d, __pyx_n_s_test, __pyx_t_2) < 0) __PYX_ERR(0, 1, __pyx_L1_error)
  __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0;

  /* "../../../../../../../../home/rum/.pyenv/versions/anaconda3-5.3.1/lib/python3.7/site-packages/Cython/Includes/numpy/__init__.pxd":1008
 *         raise ImportError("numpy.core.umath failed to import")
 * 
 * cdef inline int import_ufunc() except -1:             # <<<<<<<<<<<<<<
 *     try:
 *         _import_umath()
 */

  /*--- Wrapped vars code ---*/

  goto __pyx_L0;
  __pyx_L1_error:;
  __Pyx_XDECREF(__pyx_t_1);
  __Pyx_XDECREF(__pyx_t_2);
  __Pyx_XDECREF(__pyx_t_3);
  __Pyx_XDECREF(__pyx_t_4);
  __Pyx_XDECREF(__pyx_t_5);
  __Pyx_XDECREF(__pyx_t_6);
  __Pyx_XDECREF(__pyx_t_7);
  __Pyx_XDECREF(__pyx_t_8);
  __Pyx_XDECREF(__pyx_t_9);
  __Pyx_XDECREF(__pyx_t_10);
  __Pyx_XDECREF(__pyx_t_11);
  __Pyx_XDECREF(__pyx_t_12);
  __Pyx_XDECREF(__pyx_t_13);
  __Pyx_XDECREF(__pyx_t_14);
  __Pyx_XDECREF(__pyx_t_15);
  __Pyx_XDECREF(__pyx_t_16);
  __Pyx_XDECREF(__pyx_t_17);
  __Pyx_XDECREF(__pyx_t_18);
  if (__pyx_m) {
    if (__pyx_d) {
      __Pyx_AddTraceback("init pydbm.rnn.lstmmodel.conv_lstm_model", 0, __pyx_lineno, __pyx_filename);
    }
    Py_DECREF(__pyx_m); __pyx_m = 0;
  } else if (!PyErr_Occurred()) {
    PyErr_SetString(PyExc_ImportError, "init pydbm.rnn.lstmmodel.conv_lstm_model");
  }
  __pyx_L0:;
  __Pyx_RefNannyFinishContext();
  #if CYTHON_PEP489_MULTI_PHASE_INIT
  return (__pyx_m != NULL) ? 0 : -1;
  #elif PY_MAJOR_VERSION >= 3
  return __pyx_m;
  #else
  return;
  #endif
}

/* --- Runtime support code --- */
/* Refnanny */
#if CYTHON_REFNANNY
static __Pyx_RefNannyAPIStruct *__Pyx_RefNannyImportAPI(const char *modname) {
    PyObject *m = NULL, *p = NULL;
    void *r = NULL;
    m = PyImport_ImportModule((char *)modname);
    if (!m) goto end;
    p = PyObject_GetAttrString(m, (char *)"RefNannyAPI");
    if (!p) goto end;
    r = PyLong_AsVoidPtr(p);
end:
    Py_XDECREF(p);
    Py_XDECREF(m);
    return (__Pyx_RefNannyAPIStruct *)r;
}
#endif

/* PyObjectGetAttrStr */
#if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE PyObject* __Pyx_PyObject_GetAttrStr(PyObject* obj, PyObject* attr_name) {
    PyTypeObject* tp = Py_TYPE(obj);
    if (likely(tp->tp_getattro))
        return tp->tp_getattro(obj, attr_name);
#if PY_MAJOR_VERSION < 3
    if (likely(tp->tp_getattr))
        return tp->tp_getattr(obj, PyString_AS_STRING(attr_name));
#endif
    return PyObject_GetAttr(obj, attr_name);
}
#endif

/* GetBuiltinName */
static PyObject *__Pyx_GetBuiltinName(PyObject *name) {
    PyObject* result = __Pyx_PyObject_GetAttrStr(__pyx_b, name);
    if (unlikely(!result)) {
        PyErr_Format(PyExc_NameError,
#if PY_MAJOR_VERSION >= 3
            "name '%U' is not defined", name);
#else
            "name '%.200s' is not defined", PyString_AS_STRING(name));
#endif
    }
    return result;
}

/* GetModuleGlobalName */
static CYTHON_INLINE PyObject *__Pyx_GetModuleGlobalName(PyObject *name) {
    PyObject *result;
#if !CYTHON_AVOID_BORROWED_REFS
#if CYTHON_COMPILING_IN_CPYTHON && PY_VERSION_HEX >= 0x030500A1
    result = _PyDict_GetItem_KnownHash(__pyx_d, name, ((PyASCIIObject *) name)->hash);
    if (likely(result)) {
        Py_INCREF(result);
    } else if (unlikely(PyErr_Occurred())) {
        result = NULL;
    } else {
#else
    result = PyDict_GetItem(__pyx_d, name);
    if (likely(result)) {
        Py_INCREF(result);
    } else {
#endif
#else
    result = PyObject_GetItem(__pyx_d, name);
    if (!result) {
        PyErr_Clear();
#endif
        result = __Pyx_GetBuiltinName(name);
    }
    return result;
}

/* PyFunctionFastCall */
    #if CYTHON_FAST_PYCALL
#include "frameobject.h"
static PyObject* __Pyx_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na,
                                               PyObject *globals) {
    PyFrameObject *f;
    PyThreadState *tstate = __Pyx_PyThreadState_Current;
    PyObject **fastlocals;
    Py_ssize_t i;
    PyObject *result;
    assert(globals != NULL);
    /* XXX Perhaps we should create a specialized
       PyFrame_New() that doesn't take locals, but does
       take builtins without sanity checking them.
       */
    assert(tstate != NULL);
    f = PyFrame_New(tstate, co, globals, NULL);
    if (f == NULL) {
        return NULL;
    }
    fastlocals = f->f_localsplus;
    for (i = 0; i < na; i++) {
        Py_INCREF(*args);
        fastlocals[i] = *args++;
    }
    result = PyEval_EvalFrameEx(f,0);
    ++tstate->recursion_depth;
    Py_DECREF(f);
    --tstate->recursion_depth;
    return result;
}
#if 1 || PY_VERSION_HEX < 0x030600B1
static PyObject *__Pyx_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwargs) {
    PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func);
    PyObject *globals = PyFunction_GET_GLOBALS(func);
    PyObject *argdefs = PyFunction_GET_DEFAULTS(func);
    PyObject *closure;
#if PY_MAJOR_VERSION >= 3
    PyObject *kwdefs;
#endif
    PyObject *kwtuple, **k;
    PyObject **d;
    Py_ssize_t nd;
    Py_ssize_t nk;
    PyObject *result;
    assert(kwargs == NULL || PyDict_Check(kwargs));
    nk = kwargs ? PyDict_Size(kwargs) : 0;
    if (Py_EnterRecursiveCall((char*)" while calling a Python object")) {
        return NULL;
    }
    if (
#if PY_MAJOR_VERSION >= 3
            co->co_kwonlyargcount == 0 &&
#endif
            likely(kwargs == NULL || nk == 0) &&
            co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) {
        if (argdefs == NULL && co->co_argcount == nargs) {
            result = __Pyx_PyFunction_FastCallNoKw(co, args, nargs, globals);
            goto done;
        }
        else if (nargs == 0 && argdefs != NULL
                 && co->co_argcount == Py_SIZE(argdefs)) {
            /* function called with no arguments, but all parameters have
               a default value: use default values as arguments .*/
            args = &PyTuple_GET_ITEM(argdefs, 0);
            result =__Pyx_PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), globals);
            goto done;
        }
    }
    if (kwargs != NULL) {
        Py_ssize_t pos, i;
        kwtuple = PyTuple_New(2 * nk);
        if (kwtuple == NULL) {
            result = NULL;
            goto done;
        }
        k = &PyTuple_GET_ITEM(kwtuple, 0);
        pos = i = 0;
        while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) {
            Py_INCREF(k[i]);
            Py_INCREF(k[i+1]);
            i += 2;
        }
        nk = i / 2;
    }
    else {
        kwtuple = NULL;
        k = NULL;
    }
    closure = PyFunction_GET_CLOSURE(func);
#if PY_MAJOR_VERSION >= 3
    kwdefs = PyFunction_GET_KW_DEFAULTS(func);
#endif
    if (argdefs != NULL) {
        d = &PyTuple_GET_ITEM(argdefs, 0);
        nd = Py_SIZE(argdefs);
    }
    else {
        d = NULL;
        nd = 0;
    }
#if PY_MAJOR_VERSION >= 3
    result = PyEval_EvalCodeEx((PyObject*)co, globals, (PyObject *)NULL,
                               args, nargs,
                               k, (int)nk,
                               d, (int)nd, kwdefs, closure);
#else
    result = PyEval_EvalCodeEx(co, globals, (PyObject *)NULL,
                               args, nargs,
                               k, (int)nk,
                               d, (int)nd, closure);
#endif
    Py_XDECREF(kwtuple);
done:
    Py_LeaveRecursiveCall();
    return result;
}
#endif
#endif

/* PyObjectCall */
    #if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw) {
    PyObject *result;
    ternaryfunc call = func->ob_type->tp_call;
    if (unlikely(!call))
        return PyObject_Call(func, arg, kw);
    if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
        return NULL;
    result = (*call)(func, arg, kw);
    Py_LeaveRecursiveCall();
    if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
        PyErr_SetString(
            PyExc_SystemError,
            "NULL result without error in PyObject_Call");
    }
    return result;
}
#endif

/* PyObjectCallMethO */
    #if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallMethO(PyObject *func, PyObject *arg) {
    PyObject *self, *result;
    PyCFunction cfunc;
    cfunc = PyCFunction_GET_FUNCTION(func);
    self = PyCFunction_GET_SELF(func);
    if (unlikely(Py_EnterRecursiveCall((char*)" while calling a Python object")))
        return NULL;
    result = cfunc(self, arg);
    Py_LeaveRecursiveCall();
    if (unlikely(!result) && unlikely(!PyErr_Occurred())) {
        PyErr_SetString(
            PyExc_SystemError,
            "NULL result without error in PyObject_Call");
    }
    return result;
}
#endif

/* PyObjectCallNoArg */
    #if CYTHON_COMPILING_IN_CPYTHON
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallNoArg(PyObject *func) {
#if CYTHON_FAST_PYCALL
    if (PyFunction_Check(func)) {
        return __Pyx_PyFunction_FastCall(func, NULL, 0);
    }
#endif
#ifdef __Pyx_CyFunction_USED
    if (likely(PyCFunction_Check(func) || __Pyx_TypeCheck(func, __pyx_CyFunctionType))) {
#else
    if (likely(PyCFunction_Check(func))) {
#endif
        if (likely(PyCFunction_GET_FLAGS(func) & METH_NOARGS)) {
            return __Pyx_PyObject_CallMethO(func, NULL);
        }
    }
    return __Pyx_PyObject_Call(func, __pyx_empty_tuple, NULL);
}
#endif

/* PyErrFetchRestore */
      #if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx_ErrRestoreInState(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    tmp_type = tstate->curexc_type;
    tmp_value = tstate->curexc_value;
    tmp_tb = tstate->curexc_traceback;
    tstate->curexc_type = type;
    tstate->curexc_value = value;
    tstate->curexc_traceback = tb;
    Py_XDECREF(tmp_type);
    Py_XDECREF(tmp_value);
    Py_XDECREF(tmp_tb);
}
static CYTHON_INLINE void __Pyx_ErrFetchInState(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
    *type = tstate->curexc_type;
    *value = tstate->curexc_value;
    *tb = tstate->curexc_traceback;
    tstate->curexc_type = 0;
    tstate->curexc_value = 0;
    tstate->curexc_traceback = 0;
}
#endif

/* RaiseException */
      #if PY_MAJOR_VERSION < 3
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb,
                        CYTHON_UNUSED PyObject *cause) {
    __Pyx_PyThreadState_declare
    Py_XINCREF(type);
    if (!value || value == Py_None)
        value = NULL;
    else
        Py_INCREF(value);
    if (!tb || tb == Py_None)
        tb = NULL;
    else {
        Py_INCREF(tb);
        if (!PyTraceBack_Check(tb)) {
            PyErr_SetString(PyExc_TypeError,
                "raise: arg 3 must be a traceback or None");
            goto raise_error;
        }
    }
    if (PyType_Check(type)) {
#if CYTHON_COMPILING_IN_PYPY
        if (!value) {
            Py_INCREF(Py_None);
            value = Py_None;
        }
#endif
        PyErr_NormalizeException(&type, &value, &tb);
    } else {
        if (value) {
            PyErr_SetString(PyExc_TypeError,
                "instance exception may not have a separate value");
            goto raise_error;
        }
        value = type;
        type = (PyObject*) Py_TYPE(type);
        Py_INCREF(type);
        if (!PyType_IsSubtype((PyTypeObject *)type, (PyTypeObject *)PyExc_BaseException)) {
            PyErr_SetString(PyExc_TypeError,
                "raise: exception class must be a subclass of BaseException");
            goto raise_error;
        }
    }
    __Pyx_PyThreadState_assign
    __Pyx_ErrRestore(type, value, tb);
    return;
raise_error:
    Py_XDECREF(value);
    Py_XDECREF(type);
    Py_XDECREF(tb);
    return;
}
#else
static void __Pyx_Raise(PyObject *type, PyObject *value, PyObject *tb, PyObject *cause) {
    PyObject* owned_instance = NULL;
    if (tb == Py_None) {
        tb = 0;
    } else if (tb && !PyTraceBack_Check(tb)) {
        PyErr_SetString(PyExc_TypeError,
            "raise: arg 3 must be a traceback or None");
        goto bad;
    }
    if (value == Py_None)
        value = 0;
    if (PyExceptionInstance_Check(type)) {
        if (value) {
            PyErr_SetString(PyExc_TypeError,
                "instance exception may not have a separate value");
            goto bad;
        }
        value = type;
        type = (PyObject*) Py_TYPE(value);
    } else if (PyExceptionClass_Check(type)) {
        PyObject *instance_class = NULL;
        if (value && PyExceptionInstance_Check(value)) {
            instance_class = (PyObject*) Py_TYPE(value);
            if (instance_class != type) {
                int is_subclass = PyObject_IsSubclass(instance_class, type);
                if (!is_subclass) {
                    instance_class = NULL;
                } else if (unlikely(is_subclass == -1)) {
                    goto bad;
                } else {
                    type = instance_class;
                }
            }
        }
        if (!instance_class) {
            PyObject *args;
            if (!value)
                args = PyTuple_New(0);
            else if (PyTuple_Check(value)) {
                Py_INCREF(value);
                args = value;
            } else
                args = PyTuple_Pack(1, value);
            if (!args)
                goto bad;
            owned_instance = PyObject_Call(type, args, NULL);
            Py_DECREF(args);
            if (!owned_instance)
                goto bad;
            value = owned_instance;
            if (!PyExceptionInstance_Check(value)) {
                PyErr_Format(PyExc_TypeError,
                             "calling %R should have returned an instance of "
                             "BaseException, not %R",
                             type, Py_TYPE(value));
                goto bad;
            }
        }
    } else {
        PyErr_SetString(PyExc_TypeError,
            "raise: exception class must be a subclass of BaseException");
        goto bad;
    }
    if (cause) {
        PyObject *fixed_cause;
        if (cause == Py_None) {
            fixed_cause = NULL;
        } else if (PyExceptionClass_Check(cause)) {
            fixed_cause = PyObject_CallObject(cause, NULL);
            if (fixed_cause == NULL)
                goto bad;
        } else if (PyExceptionInstance_Check(cause)) {
            fixed_cause = cause;
            Py_INCREF(fixed_cause);
        } else {
            PyErr_SetString(PyExc_TypeError,
                            "exception causes must derive from "
                            "BaseException");
            goto bad;
        }
        PyException_SetCause(value, fixed_cause);
    }
    PyErr_SetObject(type, value);
    if (tb) {
#if CYTHON_COMPILING_IN_PYPY
        PyObject *tmp_type, *tmp_value, *tmp_tb;
        PyErr_Fetch(&tmp_type, &tmp_value, &tmp_tb);
        Py_INCREF(tb);
        PyErr_Restore(tmp_type, tmp_value, tb);
        Py_XDECREF(tmp_tb);
#else
        PyThreadState *tstate = __Pyx_PyThreadState_Current;
        PyObject* tmp_tb = tstate->curexc_traceback;
        if (tb != tmp_tb) {
            Py_INCREF(tb);
            tstate->curexc_traceback = tb;
            Py_XDECREF(tmp_tb);
        }
#endif
    }
bad:
    Py_XDECREF(owned_instance);
    return;
}
#endif

/* RaiseArgTupleInvalid */
      static void __Pyx_RaiseArgtupleInvalid(
    const char* func_name,
    int exact,
    Py_ssize_t num_min,
    Py_ssize_t num_max,
    Py_ssize_t num_found)
{
    Py_ssize_t num_expected;
    const char *more_or_less;
    if (num_found < num_min) {
        num_expected = num_min;
        more_or_less = "at least";
    } else {
        num_expected = num_max;
        more_or_less = "at most";
    }
    if (exact) {
        more_or_less = "exactly";
    }
    PyErr_Format(PyExc_TypeError,
                 "%.200s() takes %.8s %" CYTHON_FORMAT_SSIZE_T "d positional argument%.1s (%" CYTHON_FORMAT_SSIZE_T "d given)",
                 func_name, more_or_less, num_expected,
                 (num_expected == 1) ? "" : "s", num_found);
}

/* RaiseDoubleKeywords */
      static void __Pyx_RaiseDoubleKeywordsError(
    const char* func_name,
    PyObject* kw_name)
{
    PyErr_Format(PyExc_TypeError,
        #if PY_MAJOR_VERSION >= 3
        "%s() got multiple values for keyword argument '%U'", func_name, kw_name);
        #else
        "%s() got multiple values for keyword argument '%s'", func_name,
        PyString_AsString(kw_name));
        #endif
}

/* ParseKeywords */
      static int __Pyx_ParseOptionalKeywords(
    PyObject *kwds,
    PyObject **argnames[],
    PyObject *kwds2,
    PyObject *values[],
    Py_ssize_t num_pos_args,
    const char* function_name)
{
    PyObject *key = 0, *value = 0;
    Py_ssize_t pos = 0;
    PyObject*** name;
    PyObject*** first_kw_arg = argnames + num_pos_args;
    while (PyDict_Next(kwds, &pos, &key, &value)) {
        name = first_kw_arg;
        while (*name && (**name != key)) name++;
        if (*name) {
            values[name-argnames] = value;
            continue;
        }
        name = first_kw_arg;
        #if PY_MAJOR_VERSION < 3
        if (likely(PyString_CheckExact(key)) || likely(PyString_Check(key))) {
            while (*name) {
                if ((CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**name) == PyString_GET_SIZE(key))
                        && _PyString_Eq(**name, key)) {
                    values[name-argnames] = value;
                    break;
                }
                name++;
            }
            if (*name) continue;
            else {
                PyObject*** argname = argnames;
                while (argname != first_kw_arg) {
                    if ((**argname == key) || (
                            (CYTHON_COMPILING_IN_PYPY || PyString_GET_SIZE(**argname) == PyString_GET_SIZE(key))
                             && _PyString_Eq(**argname, key))) {
                        goto arg_passed_twice;
                    }
                    argname++;
                }
            }
        } else
        #endif
        if (likely(PyUnicode_Check(key))) {
            while (*name) {
                int cmp = (**name == key) ? 0 :
                #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
                    (PyUnicode_GET_SIZE(**name) != PyUnicode_GET_SIZE(key)) ? 1 :
                #endif
                    PyUnicode_Compare(**name, key);
                if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
                if (cmp == 0) {
                    values[name-argnames] = value;
                    break;
                }
                name++;
            }
            if (*name) continue;
            else {
                PyObject*** argname = argnames;
                while (argname != first_kw_arg) {
                    int cmp = (**argname == key) ? 0 :
                    #if !CYTHON_COMPILING_IN_PYPY && PY_MAJOR_VERSION >= 3
                        (PyUnicode_GET_SIZE(**argname) != PyUnicode_GET_SIZE(key)) ? 1 :
                    #endif
                        PyUnicode_Compare(**argname, key);
                    if (cmp < 0 && unlikely(PyErr_Occurred())) goto bad;
                    if (cmp == 0) goto arg_passed_twice;
                    argname++;
                }
            }
        } else
            goto invalid_keyword_type;
        if (kwds2) {
            if (unlikely(PyDict_SetItem(kwds2, key, value))) goto bad;
        } else {
            goto invalid_keyword;
        }
    }
    return 0;
arg_passed_twice:
    __Pyx_RaiseDoubleKeywordsError(function_name, key);
    goto bad;
invalid_keyword_type:
    PyErr_Format(PyExc_TypeError,
        "%.200s() keywords must be strings", function_name);
    goto bad;
invalid_keyword:
    PyErr_Format(PyExc_TypeError,
    #if PY_MAJOR_VERSION < 3
        "%.200s() got an unexpected keyword argument '%.200s'",
        function_name, PyString_AsString(key));
    #else
        "%s() got an unexpected keyword argument '%U'",
        function_name, key);
    #endif
bad:
    return -1;
}

/* PyObjectSetAttrStr */
      #if CYTHON_USE_TYPE_SLOTS
static CYTHON_INLINE int __Pyx_PyObject_SetAttrStr(PyObject* obj, PyObject* attr_name, PyObject* value) {
    PyTypeObject* tp = Py_TYPE(obj);
    if (likely(tp->tp_setattro))
        return tp->tp_setattro(obj, attr_name, value);
#if PY_MAJOR_VERSION < 3
    if (likely(tp->tp_setattr))
        return tp->tp_setattr(obj, PyString_AS_STRING(attr_name), value);
#endif
    return PyObject_SetAttr(obj, attr_name, value);
}
#endif

/* PyCFunctionFastCall */
      #if CYTHON_FAST_PYCCALL
static CYTHON_INLINE PyObject * __Pyx_PyCFunction_FastCall(PyObject *func_obj, PyObject **args, Py_ssize_t nargs) {
    PyCFunctionObject *func = (PyCFunctionObject*)func_obj;
    PyCFunction meth = PyCFunction_GET_FUNCTION(func);
    PyObject *self = PyCFunction_GET_SELF(func);
    int flags = PyCFunction_GET_FLAGS(func);
    assert(PyCFunction_Check(func));
    assert(METH_FASTCALL == (flags & ~(METH_CLASS | METH_STATIC | METH_COEXIST | METH_KEYWORDS)));
    assert(nargs >= 0);
    assert(nargs == 0 || args != NULL);
    /* _PyCFunction_FastCallDict() must not be called with an exception set,
       because it may clear it (directly or indirectly) and so the
       caller loses its exception */
    assert(!PyErr_Occurred());
    if ((PY_VERSION_HEX < 0x030700A0) || unlikely(flags & METH_KEYWORDS)) {
        return (*((__Pyx_PyCFunctionFastWithKeywords)meth)) (self, args, nargs, NULL);
    } else {
        return (*((__Pyx_PyCFunctionFast)meth)) (self, args, nargs);
    }
}
#endif

/* PyObjectCallOneArg */
      #if CYTHON_COMPILING_IN_CPYTHON
static PyObject* __Pyx__PyObject_CallOneArg(PyObject *func, PyObject *arg) {
    PyObject *result;
    PyObject *args = PyTuple_New(1);
    if (unlikely(!args)) return NULL;
    Py_INCREF(arg);
    PyTuple_SET_ITEM(args, 0, arg);
    result = __Pyx_PyObject_Call(func, args, NULL);
    Py_DECREF(args);
    return result;
}
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
#if CYTHON_FAST_PYCALL
    if (PyFunction_Check(func)) {
        return __Pyx_PyFunction_FastCall(func, &arg, 1);
    }
#endif
    if (likely(PyCFunction_Check(func))) {
        if (likely(PyCFunction_GET_FLAGS(func) & METH_O)) {
            return __Pyx_PyObject_CallMethO(func, arg);
#if CYTHON_FAST_PYCCALL
        } else if (PyCFunction_GET_FLAGS(func) & METH_FASTCALL) {
            return __Pyx_PyCFunction_FastCall(func, &arg, 1);
#endif
        }
    }
    return __Pyx__PyObject_CallOneArg(func, arg);
}
#else
static CYTHON_INLINE PyObject* __Pyx_PyObject_CallOneArg(PyObject *func, PyObject *arg) {
    PyObject *result;
    PyObject *args = PyTuple_Pack(1, arg);
    if (unlikely(!args)) return NULL;
    result = __Pyx_PyObject_Call(func, args, NULL);
    Py_DECREF(args);
    return result;
}
#endif

/* ArgTypeTest */
      static int __Pyx__ArgTypeTest(PyObject *obj, PyTypeObject *type, const char *name, int exact)
{
    if (unlikely(!type)) {
        PyErr_SetString(PyExc_SystemError, "Missing type object");
        return 0;
    }
    else if (exact) {
        #if PY_MAJOR_VERSION == 2
        if ((type == &PyBaseString_Type) && likely(__Pyx_PyBaseString_CheckExact(obj))) return 1;
        #endif
    }
    else {
        if (likely(__Pyx_TypeCheck(obj, type))) return 1;
    }
    PyErr_Format(PyExc_TypeError,
        "Argument '%.200s' has incorrect type (expected %.200s, got %.200s)",
        name, type->tp_name, Py_TYPE(obj)->tp_name);
    return 0;
}

/* IsLittleEndian */
      static CYTHON_INLINE int __Pyx_Is_Little_Endian(void)
{
  union {
    uint32_t u32;
    uint8_t u8[4];
  } S;
  S.u32 = 0x01020304;
  return S.u8[0] == 4;
}

/* BufferFormatCheck */
      static void __Pyx_BufFmt_Init(__Pyx_BufFmt_Context* ctx,
                              __Pyx_BufFmt_StackElem* stack,
                              __Pyx_TypeInfo* type) {
  stack[0].field = &ctx->root;
  stack[0].parent_offset = 0;
  ctx->root.type = type;
  ctx->root.name = "buffer dtype";
  ctx->root.offset = 0;
  ctx->head = stack;
  ctx->head->field = &ctx->root;
  ctx->fmt_offset = 0;
  ctx->head->parent_offset = 0;
  ctx->new_packmode = '@';
  ctx->enc_packmode = '@';
  ctx->new_count = 1;
  ctx->enc_count = 0;
  ctx->enc_type = 0;
  ctx->is_complex = 0;
  ctx->is_valid_array = 0;
  ctx->struct_alignment = 0;
  while (type->typegroup == 'S') {
    ++ctx->head;
    ctx->head->field = type->fields;
    ctx->head->parent_offset = 0;
    type = type->fields->type;
  }
}
static int __Pyx_BufFmt_ParseNumber(const char** ts) {
    int count;
    const char* t = *ts;
    if (*t < '0' || *t > '9') {
      return -1;
    } else {
        count = *t++ - '0';
        while (*t >= '0' && *t < '9') {
            count *= 10;
            count += *t++ - '0';
        }
    }
    *ts = t;
    return count;
}
static int __Pyx_BufFmt_ExpectNumber(const char **ts) {
    int number = __Pyx_BufFmt_ParseNumber(ts);
    if (number == -1)
        PyErr_Format(PyExc_ValueError,\
                     "Does not understand character buffer dtype format string ('%c')", **ts);
    return number;
}
static void __Pyx_BufFmt_RaiseUnexpectedChar(char ch) {
  PyErr_Format(PyExc_ValueError,
               "Unexpected format string character: '%c'", ch);
}
static const char* __Pyx_BufFmt_DescribeTypeChar(char ch, int is_complex) {
  switch (ch) {
    case 'c': return "'char'";
    case 'b': return "'signed char'";
    case 'B': return "'unsigned char'";
    case 'h': return "'short'";
    case 'H': return "'unsigned short'";
    case 'i': return "'int'";
    case 'I': return "'unsigned int'";
    case 'l': return "'long'";
    case 'L': return "'unsigned long'";
    case 'q': return "'long long'";
    case 'Q': return "'unsigned long long'";
    case 'f': return (is_complex ? "'complex float'" : "'float'");
    case 'd': return (is_complex ? "'complex double'" : "'double'");
    case 'g': return (is_complex ? "'complex long double'" : "'long double'");
    case 'T': return "a struct";
    case 'O': return "Python object";
    case 'P': return "a pointer";
    case 's': case 'p': return "a string";
    case 0: return "end";
    default: return "unparseable format string";
  }
}
static size_t __Pyx_BufFmt_TypeCharToStandardSize(char ch, int is_complex) {
  switch (ch) {
    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
    case 'h': case 'H': return 2;
    case 'i': case 'I': case 'l': case 'L': return 4;
    case 'q': case 'Q': return 8;
    case 'f': return (is_complex ? 8 : 4);
    case 'd': return (is_complex ? 16 : 8);
    case 'g': {
      PyErr_SetString(PyExc_ValueError, "Python does not define a standard format string size for long double ('g')..");
      return 0;
    }
    case 'O': case 'P': return sizeof(void*);
    default:
      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
      return 0;
    }
}
static size_t __Pyx_BufFmt_TypeCharToNativeSize(char ch, int is_complex) {
  switch (ch) {
    case 'c': case 'b': case 'B': case 's': case 'p': return 1;
    case 'h': case 'H': return sizeof(short);
    case 'i': case 'I': return sizeof(int);
    case 'l': case 'L': return sizeof(long);
    #ifdef HAVE_LONG_LONG
    case 'q': case 'Q': return sizeof(PY_LONG_LONG);
    #endif
    case 'f': return sizeof(float) * (is_complex ? 2 : 1);
    case 'd': return sizeof(double) * (is_complex ? 2 : 1);
    case 'g': return sizeof(long double) * (is_complex ? 2 : 1);
    case 'O': case 'P': return sizeof(void*);
    default: {
      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
      return 0;
    }
  }
}
typedef struct { char c; short x; } __Pyx_st_short;
typedef struct { char c; int x; } __Pyx_st_int;
typedef struct { char c; long x; } __Pyx_st_long;
typedef struct { char c; float x; } __Pyx_st_float;
typedef struct { char c; double x; } __Pyx_st_double;
typedef struct { char c; long double x; } __Pyx_st_longdouble;
typedef struct { char c; void *x; } __Pyx_st_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { char c; PY_LONG_LONG x; } __Pyx_st_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToAlignment(char ch, CYTHON_UNUSED int is_complex) {
  switch (ch) {
    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
    case 'h': case 'H': return sizeof(__Pyx_st_short) - sizeof(short);
    case 'i': case 'I': return sizeof(__Pyx_st_int) - sizeof(int);
    case 'l': case 'L': return sizeof(__Pyx_st_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
    case 'q': case 'Q': return sizeof(__Pyx_st_longlong) - sizeof(PY_LONG_LONG);
#endif
    case 'f': return sizeof(__Pyx_st_float) - sizeof(float);
    case 'd': return sizeof(__Pyx_st_double) - sizeof(double);
    case 'g': return sizeof(__Pyx_st_longdouble) - sizeof(long double);
    case 'P': case 'O': return sizeof(__Pyx_st_void_p) - sizeof(void*);
    default:
      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
      return 0;
    }
}
/* These are for computing the padding at the end of the struct to align
   on the first member of the struct. This will probably the same as above,
   but we don't have any guarantees.
 */
typedef struct { short x; char c; } __Pyx_pad_short;
typedef struct { int x; char c; } __Pyx_pad_int;
typedef struct { long x; char c; } __Pyx_pad_long;
typedef struct { float x; char c; } __Pyx_pad_float;
typedef struct { double x; char c; } __Pyx_pad_double;
typedef struct { long double x; char c; } __Pyx_pad_longdouble;
typedef struct { void *x; char c; } __Pyx_pad_void_p;
#ifdef HAVE_LONG_LONG
typedef struct { PY_LONG_LONG x; char c; } __Pyx_pad_longlong;
#endif
static size_t __Pyx_BufFmt_TypeCharToPadding(char ch, CYTHON_UNUSED int is_complex) {
  switch (ch) {
    case '?': case 'c': case 'b': case 'B': case 's': case 'p': return 1;
    case 'h': case 'H': return sizeof(__Pyx_pad_short) - sizeof(short);
    case 'i': case 'I': return sizeof(__Pyx_pad_int) - sizeof(int);
    case 'l': case 'L': return sizeof(__Pyx_pad_long) - sizeof(long);
#ifdef HAVE_LONG_LONG
    case 'q': case 'Q': return sizeof(__Pyx_pad_longlong) - sizeof(PY_LONG_LONG);
#endif
    case 'f': return sizeof(__Pyx_pad_float) - sizeof(float);
    case 'd': return sizeof(__Pyx_pad_double) - sizeof(double);
    case 'g': return sizeof(__Pyx_pad_longdouble) - sizeof(long double);
    case 'P': case 'O': return sizeof(__Pyx_pad_void_p) - sizeof(void*);
    default:
      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
      return 0;
    }
}
static char __Pyx_BufFmt_TypeCharToGroup(char ch, int is_complex) {
  switch (ch) {
    case 'c':
        return 'H';
    case 'b': case 'h': case 'i':
    case 'l': case 'q': case 's': case 'p':
        return 'I';
    case 'B': case 'H': case 'I': case 'L': case 'Q':
        return 'U';
    case 'f': case 'd': case 'g':
        return (is_complex ? 'C' : 'R');
    case 'O':
        return 'O';
    case 'P':
        return 'P';
    default: {
      __Pyx_BufFmt_RaiseUnexpectedChar(ch);
      return 0;
    }
  }
}
static void __Pyx_BufFmt_RaiseExpected(__Pyx_BufFmt_Context* ctx) {
  if (ctx->head == NULL || ctx->head->field == &ctx->root) {
    const char* expected;
    const char* quote;
    if (ctx->head == NULL) {
      expected = "end";
      quote = "";
    } else {
      expected = ctx->head->field->type->name;
      quote = "'";
    }
    PyErr_Format(PyExc_ValueError,
                 "Buffer dtype mismatch, expected %s%s%s but got %s",
                 quote, expected, quote,
                 __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex));
  } else {
    __Pyx_StructField* field = ctx->head->field;
    __Pyx_StructField* parent = (ctx->head - 1)->field;
    PyErr_Format(PyExc_ValueError,
                 "Buffer dtype mismatch, expected '%s' but got %s in '%s.%s'",
                 field->type->name, __Pyx_BufFmt_DescribeTypeChar(ctx->enc_type, ctx->is_complex),
                 parent->type->name, field->name);
  }
}
static int __Pyx_BufFmt_ProcessTypeChunk(__Pyx_BufFmt_Context* ctx) {
  char group;
  size_t size, offset, arraysize = 1;
  if (ctx->enc_type == 0) return 0;
  if (ctx->head->field->type->arraysize[0]) {
    int i, ndim = 0;
    if (ctx->enc_type == 's' || ctx->enc_type == 'p') {
        ctx->is_valid_array = ctx->head->field->type->ndim == 1;
        ndim = 1;
        if (ctx->enc_count != ctx->head->field->type->arraysize[0]) {
            PyErr_Format(PyExc_ValueError,
                         "Expected a dimension of size %zu, got %zu",
                         ctx->head->field->type->arraysize[0], ctx->enc_count);
            return -1;
        }
    }
    if (!ctx->is_valid_array) {
      PyErr_Format(PyExc_ValueError, "Expected %d dimensions, got %d",
                   ctx->head->field->type->ndim, ndim);
      return -1;
    }
    for (i = 0; i < ctx->head->field->type->ndim; i++) {
      arraysize *= ctx->head->field->type->arraysize[i];
    }
    ctx->is_valid_array = 0;
    ctx->enc_count = 1;
  }
  group = __Pyx_BufFmt_TypeCharToGroup(ctx->enc_type, ctx->is_complex);
  do {
    __Pyx_StructField* field = ctx->head->field;
    __Pyx_TypeInfo* type = field->type;
    if (ctx->enc_packmode == '@' || ctx->enc_packmode == '^') {
      size = __Pyx_BufFmt_TypeCharToNativeSize(ctx->enc_type, ctx->is_complex);
    } else {
      size = __Pyx_BufFmt_TypeCharToStandardSize(ctx->enc_type, ctx->is_complex);
    }
    if (ctx->enc_packmode == '@') {
      size_t align_at = __Pyx_BufFmt_TypeCharToAlignment(ctx->enc_type, ctx->is_complex);
      size_t align_mod_offset;
      if (align_at == 0) return -1;
      align_mod_offset = ctx->fmt_offset % align_at;
      if (align_mod_offset > 0) ctx->fmt_offset += align_at - align_mod_offset;
      if (ctx->struct_alignment == 0)
          ctx->struct_alignment = __Pyx_BufFmt_TypeCharToPadding(ctx->enc_type,
                                                                 ctx->is_complex);
    }
    if (type->size != size || type->typegroup != group) {
      if (type->typegroup == 'C' && type->fields != NULL) {
        size_t parent_offset = ctx->head->parent_offset + field->offset;
        ++ctx->head;
        ctx->head->field = type->fields;
        ctx->head->parent_offset = parent_offset;
        continue;
      }
      if ((type->typegroup == 'H' || group == 'H') && type->size == size) {
      } else {
          __Pyx_BufFmt_RaiseExpected(ctx);
          return -1;
      }
    }
    offset = ctx->head->parent_offset + field->offset;
    if (ctx->fmt_offset != offset) {
      PyErr_Format(PyExc_ValueError,
                   "Buffer dtype mismatch; next field is at offset %" CYTHON_FORMAT_SSIZE_T "d but %" CYTHON_FORMAT_SSIZE_T "d expected",
                   (Py_ssize_t)ctx->fmt_offset, (Py_ssize_t)offset);
      return -1;
    }
    ctx->fmt_offset += size;
    if (arraysize)
      ctx->fmt_offset += (arraysize - 1) * size;
    --ctx->enc_count;
    while (1) {
      if (field == &ctx->root) {
        ctx->head = NULL;
        if (ctx->enc_count != 0) {
          __Pyx_BufFmt_RaiseExpected(ctx);
          return -1;
        }
        break;
      }
      ctx->head->field = ++field;
      if (field->type == NULL) {
        --ctx->head;
        field = ctx->head->field;
        continue;
      } else if (field->type->typegroup == 'S') {
        size_t parent_offset = ctx->head->parent_offset + field->offset;
        if (field->type->fields->type == NULL) continue;
        field = field->type->fields;
        ++ctx->head;
        ctx->head->field = field;
        ctx->head->parent_offset = parent_offset;
        break;
      } else {
        break;
      }
    }
  } while (ctx->enc_count);
  ctx->enc_type = 0;
  ctx->is_complex = 0;
  return 0;
}
static PyObject *
__pyx_buffmt_parse_array(__Pyx_BufFmt_Context* ctx, const char** tsp)
{
    const char *ts = *tsp;
    int i = 0, number;
    int ndim = ctx->head->field->type->ndim;
;
    ++ts;
    if (ctx->new_count != 1) {
        PyErr_SetString(PyExc_ValueError,
                        "Cannot handle repeated arrays in format string");
        return NULL;
    }
    if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
    while (*ts && *ts != ')') {
        switch (*ts) {
            case ' ': case '\f': case '\r': case '\n': case '\t': case '\v':  continue;
            default:  break;
        }
        number = __Pyx_BufFmt_ExpectNumber(&ts);
        if (number == -1) return NULL;
        if (i < ndim && (size_t) number != ctx->head->field->type->arraysize[i])
            return PyErr_Format(PyExc_ValueError,
                        "Expected a dimension of size %zu, got %d",
                        ctx->head->field->type->arraysize[i], number);
        if (*ts != ',' && *ts != ')')
            return PyErr_Format(PyExc_ValueError,
                                "Expected a comma in format string, got '%c'", *ts);
        if (*ts == ',') ts++;
        i++;
    }
    if (i != ndim)
        return PyErr_Format(PyExc_ValueError, "Expected %d dimension(s), got %d",
                            ctx->head->field->type->ndim, i);
    if (!*ts) {
        PyErr_SetString(PyExc_ValueError,
                        "Unexpected end of format string, expected ')'");
        return NULL;
    }
    ctx->is_valid_array = 1;
    ctx->new_count = 1;
    *tsp = ++ts;
    return Py_None;
}
static const char* __Pyx_BufFmt_CheckString(__Pyx_BufFmt_Context* ctx, const char* ts) {
  int got_Z = 0;
  while (1) {
    switch(*ts) {
      case 0:
        if (ctx->enc_type != 0 && ctx->head == NULL) {
          __Pyx_BufFmt_RaiseExpected(ctx);
          return NULL;
        }
        if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
        if (ctx->head != NULL) {
          __Pyx_BufFmt_RaiseExpected(ctx);
          return NULL;
        }
        return ts;
      case ' ':
      case '\r':
      case '\n':
        ++ts;
        break;
      case '<':
        if (!__Pyx_Is_Little_Endian()) {
          PyErr_SetString(PyExc_ValueError, "Little-endian buffer not supported on big-endian compiler");
          return NULL;
        }
        ctx->new_packmode = '=';
        ++ts;
        break;
      case '>':
      case '!':
        if (__Pyx_Is_Little_Endian()) {
          PyErr_SetString(PyExc_ValueError, "Big-endian buffer not supported on little-endian compiler");
          return NULL;
        }
        ctx->new_packmode = '=';
        ++ts;
        break;
      case '=':
      case '@':
      case '^':
        ctx->new_packmode = *ts++;
        break;
      case 'T':
        {
          const char* ts_after_sub;
          size_t i, struct_count = ctx->new_count;
          size_t struct_alignment = ctx->struct_alignment;
          ctx->new_count = 1;
          ++ts;
          if (*ts != '{') {
            PyErr_SetString(PyExc_ValueError, "Buffer acquisition: Expected '{' after 'T'");
            return NULL;
          }
          if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
          ctx->enc_type = 0;
          ctx->enc_count = 0;
          ctx->struct_alignment = 0;
          ++ts;
          ts_after_sub = ts;
          for (i = 0; i != struct_count; ++i) {
            ts_after_sub = __Pyx_BufFmt_CheckString(ctx, ts);
            if (!ts_after_sub) return NULL;
          }
          ts = ts_after_sub;
          if (struct_alignment) ctx->struct_alignment = struct_alignment;
        }
        break;
      case '}':
        {
          size_t alignment = ctx->struct_alignment;
          ++ts;
          if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
          ctx->enc_type = 0;
          if (alignment && ctx->fmt_offset % alignment) {
            ctx->fmt_offset += alignment - (ctx->fmt_offset % alignment);
          }
        }
        return ts;
      case 'x':
        if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
        ctx->fmt_offset += ctx->new_count;
        ctx->new_count = 1;
        ctx->enc_count = 0;
        ctx->enc_type = 0;
        ctx->enc_packmode = ctx->new_packmode;
        ++ts;
        break;
      case 'Z':
        got_Z = 1;
        ++ts;
        if (*ts != 'f' && *ts != 'd' && *ts != 'g') {
          __Pyx_BufFmt_RaiseUnexpectedChar('Z');
          return NULL;
        }
        CYTHON_FALLTHROUGH;
      case 'c': case 'b': case 'B': case 'h': case 'H': case 'i': case 'I':
      case 'l': case 'L': case 'q': case 'Q':
      case 'f': case 'd': case 'g':
      case 'O': case 'p':
        if (ctx->enc_type == *ts && got_Z == ctx->is_complex &&
            ctx->enc_packmode == ctx->new_packmode) {
          ctx->enc_count += ctx->new_count;
          ctx->new_count = 1;
          got_Z = 0;
          ++ts;
          break;
        }
        CYTHON_FALLTHROUGH;
      case 's':
        if (__Pyx_BufFmt_ProcessTypeChunk(ctx) == -1) return NULL;
        ctx->enc_count = ctx->new_count;
        ctx->enc_packmode = ctx->new_packmode;
        ctx->enc_type = *ts;
        ctx->is_complex = got_Z;
        ++ts;
        ctx->new_count = 1;
        got_Z = 0;
        break;
      case ':':
        ++ts;
        while(*ts != ':') ++ts;
        ++ts;
        break;
      case '(':
        if (!__pyx_buffmt_parse_array(ctx, &ts)) return NULL;
        break;
      default:
        {
          int number = __Pyx_BufFmt_ExpectNumber(&ts);
          if (number == -1) return NULL;
          ctx->new_count = (size_t)number;
        }
    }
  }
}

/* BufferGetAndValidate */
        static CYTHON_INLINE void __Pyx_SafeReleaseBuffer(Py_buffer* info) {
  if (unlikely(info->buf == NULL)) return;
  if (info->suboffsets == __Pyx_minusones) info->suboffsets = NULL;
  __Pyx_ReleaseBuffer(info);
}
static void __Pyx_ZeroBuffer(Py_buffer* buf) {
  buf->buf = NULL;
  buf->obj = NULL;
  buf->strides = __Pyx_zeros;
  buf->shape = __Pyx_zeros;
  buf->suboffsets = __Pyx_minusones;
}
static int __Pyx__GetBufferAndValidate(
        Py_buffer* buf, PyObject* obj,  __Pyx_TypeInfo* dtype, int flags,
        int nd, int cast, __Pyx_BufFmt_StackElem* stack)
{
  buf->buf = NULL;
  if (unlikely(__Pyx_GetBuffer(obj, buf, flags) == -1)) {
    __Pyx_ZeroBuffer(buf);
    return -1;
  }
  if (unlikely(buf->ndim != nd)) {
    PyErr_Format(PyExc_ValueError,
                 "Buffer has wrong number of dimensions (expected %d, got %d)",
                 nd, buf->ndim);
    goto fail;
  }
  if (!cast) {
    __Pyx_BufFmt_Context ctx;
    __Pyx_BufFmt_Init(&ctx, stack, dtype);
    if (!__Pyx_BufFmt_CheckString(&ctx, buf->format)) goto fail;
  }
  if (unlikely((unsigned)buf->itemsize != dtype->size)) {
    PyErr_Format(PyExc_ValueError,
      "Item size of buffer (%" CYTHON_FORMAT_SSIZE_T "d byte%s) does not match size of '%s' (%" CYTHON_FORMAT_SSIZE_T "d byte%s)",
      buf->itemsize, (buf->itemsize > 1) ? "s" : "",
      dtype->name, (Py_ssize_t)dtype->size, (dtype->size > 1) ? "s" : "");
    goto fail;
  }
  if (buf->suboffsets == NULL) buf->suboffsets = __Pyx_minusones;
  return 0;
fail:;
  __Pyx_SafeReleaseBuffer(buf);
  return -1;
}

/* ExtTypeTest */
        static CYTHON_INLINE int __Pyx_TypeTest(PyObject *obj, PyTypeObject *type) {
    if (unlikely(!type)) {
        PyErr_SetString(PyExc_SystemError, "Missing type object");
        return 0;
    }
    if (likely(__Pyx_TypeCheck(obj, type)))
        return 1;
    PyErr_Format(PyExc_TypeError, "Cannot convert %.200s to %.200s",
                 Py_TYPE(obj)->tp_name, type->tp_name);
    return 0;
}

/* GetItemInt */
        static PyObject *__Pyx_GetItemInt_Generic(PyObject *o, PyObject* j) {
    PyObject *r;
    if (!j) return NULL;
    r = PyObject_GetItem(o, j);
    Py_DECREF(j);
    return r;
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_List_Fast(PyObject *o, Py_ssize_t i,
                                                              CYTHON_NCP_UNUSED int wraparound,
                                                              CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    Py_ssize_t wrapped_i = i;
    if (wraparound & unlikely(i < 0)) {
        wrapped_i += PyList_GET_SIZE(o);
    }
    if ((!boundscheck) || likely((0 <= wrapped_i) & (wrapped_i < PyList_GET_SIZE(o)))) {
        PyObject *r = PyList_GET_ITEM(o, wrapped_i);
        Py_INCREF(r);
        return r;
    }
    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
    return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Tuple_Fast(PyObject *o, Py_ssize_t i,
                                                              CYTHON_NCP_UNUSED int wraparound,
                                                              CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    Py_ssize_t wrapped_i = i;
    if (wraparound & unlikely(i < 0)) {
        wrapped_i += PyTuple_GET_SIZE(o);
    }
    if ((!boundscheck) || likely((0 <= wrapped_i) & (wrapped_i < PyTuple_GET_SIZE(o)))) {
        PyObject *r = PyTuple_GET_ITEM(o, wrapped_i);
        Py_INCREF(r);
        return r;
    }
    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
#else
    return PySequence_GetItem(o, i);
#endif
}
static CYTHON_INLINE PyObject *__Pyx_GetItemInt_Fast(PyObject *o, Py_ssize_t i, int is_list,
                                                     CYTHON_NCP_UNUSED int wraparound,
                                                     CYTHON_NCP_UNUSED int boundscheck) {
#if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS && CYTHON_USE_TYPE_SLOTS
    if (is_list || PyList_CheckExact(o)) {
        Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyList_GET_SIZE(o);
        if ((!boundscheck) || (likely((n >= 0) & (n < PyList_GET_SIZE(o))))) {
            PyObject *r = PyList_GET_ITEM(o, n);
            Py_INCREF(r);
            return r;
        }
    }
    else if (PyTuple_CheckExact(o)) {
        Py_ssize_t n = ((!wraparound) | likely(i >= 0)) ? i : i + PyTuple_GET_SIZE(o);
        if ((!boundscheck) || likely((n >= 0) & (n < PyTuple_GET_SIZE(o)))) {
            PyObject *r = PyTuple_GET_ITEM(o, n);
            Py_INCREF(r);
            return r;
        }
    } else {
        PySequenceMethods *m = Py_TYPE(o)->tp_as_sequence;
        if (likely(m && m->sq_item)) {
            if (wraparound && unlikely(i < 0) && likely(m->sq_length)) {
                Py_ssize_t l = m->sq_length(o);
                if (likely(l >= 0)) {
                    i += l;
                } else {
                    if (!PyErr_ExceptionMatches(PyExc_OverflowError))
                        return NULL;
                    PyErr_Clear();
                }
            }
            return m->sq_item(o, i);
        }
    }
#else
    if (is_list || PySequence_Check(o)) {
        return PySequence_GetItem(o, i);
    }
#endif
    return __Pyx_GetItemInt_Generic(o, PyInt_FromSsize_t(i));
}

/* ObjectGetItem */
        #if CYTHON_USE_TYPE_SLOTS
static PyObject *__Pyx_PyObject_GetIndex(PyObject *obj, PyObject* index) {
    PyObject *runerr;
    Py_ssize_t key_value;
    PySequenceMethods *m = Py_TYPE(obj)->tp_as_sequence;
    if (unlikely(!(m && m->sq_item))) {
        PyErr_Format(PyExc_TypeError, "'%.200s' object is not subscriptable", Py_TYPE(obj)->tp_name);
        return NULL;
    }
    key_value = __Pyx_PyIndex_AsSsize_t(index);
    if (likely(key_value != -1 || !(runerr = PyErr_Occurred()))) {
        return __Pyx_GetItemInt_Fast(obj, key_value, 0, 1, 1);
    }
    if (PyErr_GivenExceptionMatches(runerr, PyExc_OverflowError)) {
        PyErr_Clear();
        PyErr_Format(PyExc_IndexError, "cannot fit '%.200s' into an index-sized integer", Py_TYPE(index)->tp_name);
    }
    return NULL;
}
static PyObject *__Pyx_PyObject_GetItem(PyObject *obj, PyObject* key) {
    PyMappingMethods *m = Py_TYPE(obj)->tp_as_mapping;
    if (likely(m && m->mp_subscript)) {
        return m->mp_subscript(obj, key);
    }
    return __Pyx_PyObject_GetIndex(obj, key);
}
#endif

/* BufferFallbackError */
        static void __Pyx_RaiseBufferFallbackError(void) {
  PyErr_SetString(PyExc_ValueError,
     "Buffer acquisition failed on assignment; and then reacquiring the old buffer failed too!");
}

/* PyIntBinop */
        #if !CYTHON_COMPILING_IN_PYPY
static PyObject* __Pyx_PyInt_EqObjC(PyObject *op1, PyObject *op2, CYTHON_UNUSED long intval, CYTHON_UNUSED int inplace) {
    if (op1 == op2) {
        Py_RETURN_TRUE;
    }
    #if PY_MAJOR_VERSION < 3
    if (likely(PyInt_CheckExact(op1))) {
        const long b = intval;
        long a = PyInt_AS_LONG(op1);
        if (a == b) {
            Py_RETURN_TRUE;
        } else {
            Py_RETURN_FALSE;
        }
    }
    #endif
    #if CYTHON_USE_PYLONG_INTERNALS
    if (likely(PyLong_CheckExact(op1))) {
        const long b = intval;
        long a;
        const digit* digits = ((PyLongObject*)op1)->ob_digit;
        const Py_ssize_t size = Py_SIZE(op1);
        if (likely(__Pyx_sst_abs(size) <= 1)) {
            a = likely(size) ? digits[0] : 0;
            if (size == -1) a = -a;
        } else {
            switch (size) {
                case -2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case 2:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        a = (long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case -3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case 3:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        a = (long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case -4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                case 4:
                    if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                        a = (long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0]));
                        break;
                    }
                    CYTHON_FALLTHROUGH;
                #if PyLong_SHIFT < 30 && PyLong_SHIFT != 15
                default: return PyLong_Type.tp_richcompare(op1, op2, Py_EQ);
                #else
                default: Py_RETURN_FALSE;
                #endif
            }
        }
            if (a == b) {
                Py_RETURN_TRUE;
            } else {
                Py_RETURN_FALSE;
            }
    }
    #endif
    if (PyFloat_CheckExact(op1)) {
        const long b = intval;
        double a = PyFloat_AS_DOUBLE(op1);
            if ((double)a == (double)b) {
                Py_RETURN_TRUE;
            } else {
                Py_RETURN_FALSE;
            }
    }
    return PyObject_RichCompare(op1, op2, Py_EQ);
}
#endif

/* py_abs */
        #if CYTHON_USE_PYLONG_INTERNALS
static PyObject *__Pyx_PyLong_AbsNeg(PyObject *n) {
    if (likely(Py_SIZE(n) == -1)) {
        return PyLong_FromLong(((PyLongObject*)n)->ob_digit[0]);
    }
#if CYTHON_COMPILING_IN_CPYTHON
    {
        PyObject *copy = _PyLong_Copy((PyLongObject*)n);
        if (likely(copy)) {
            Py_SIZE(copy) = -(Py_SIZE(copy));
        }
        return copy;
    }
#else
    return PyNumber_Negative(n);
#endif
}
#endif

/* None */
        static CYTHON_INLINE void __Pyx_RaiseUnboundLocalError(const char *varname) {
    PyErr_Format(PyExc_UnboundLocalError, "local variable '%s' referenced before assignment", varname);
}

/* RaiseTooManyValuesToUnpack */
        static CYTHON_INLINE void __Pyx_RaiseTooManyValuesError(Py_ssize_t expected) {
    PyErr_Format(PyExc_ValueError,
                 "too many values to unpack (expected %" CYTHON_FORMAT_SSIZE_T "d)", expected);
}

/* RaiseNeedMoreValuesToUnpack */
        static CYTHON_INLINE void __Pyx_RaiseNeedMoreValuesError(Py_ssize_t index) {
    PyErr_Format(PyExc_ValueError,
                 "need more than %" CYTHON_FORMAT_SSIZE_T "d value%.1s to unpack",
                 index, (index == 1) ? "" : "s");
}

/* IterFinish */
        static CYTHON_INLINE int __Pyx_IterFinish(void) {
#if CYTHON_FAST_THREAD_STATE
    PyThreadState *tstate = __Pyx_PyThreadState_Current;
    PyObject* exc_type = tstate->curexc_type;
    if (unlikely(exc_type)) {
        if (likely(__Pyx_PyErr_GivenExceptionMatches(exc_type, PyExc_StopIteration))) {
            PyObject *exc_value, *exc_tb;
            exc_value = tstate->curexc_value;
            exc_tb = tstate->curexc_traceback;
            tstate->curexc_type = 0;
            tstate->curexc_value = 0;
            tstate->curexc_traceback = 0;
            Py_DECREF(exc_type);
            Py_XDECREF(exc_value);
            Py_XDECREF(exc_tb);
            return 0;
        } else {
            return -1;
        }
    }
    return 0;
#else
    if (unlikely(PyErr_Occurred())) {
        if (likely(PyErr_ExceptionMatches(PyExc_StopIteration))) {
            PyErr_Clear();
            return 0;
        } else {
            return -1;
        }
    }
    return 0;
#endif
}

/* UnpackItemEndCheck */
        static int __Pyx_IternextUnpackEndCheck(PyObject *retval, Py_ssize_t expected) {
    if (unlikely(retval)) {
        Py_DECREF(retval);
        __Pyx_RaiseTooManyValuesError(expected);
        return -1;
    } else {
        return __Pyx_IterFinish();
    }
    return 0;
}

/* SaveResetException */
        #if CYTHON_FAST_THREAD_STATE
static CYTHON_INLINE void __Pyx__ExceptionSave(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
    #if PY_VERSION_HEX >= 0x030700A3
    *type = tstate->exc_state.exc_type;
    *value = tstate->exc_state.exc_value;
    *tb = tstate->exc_state.exc_traceback;
    #else
    *type = tstate->exc_type;
    *value = tstate->exc_value;
    *tb = tstate->exc_traceback;
    #endif
    Py_XINCREF(*type);
    Py_XINCREF(*value);
    Py_XINCREF(*tb);
}
static CYTHON_INLINE void __Pyx__ExceptionReset(PyThreadState *tstate, PyObject *type, PyObject *value, PyObject *tb) {
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    #if PY_VERSION_HEX >= 0x030700A3
    tmp_type = tstate->exc_state.exc_type;
    tmp_value = tstate->exc_state.exc_value;
    tmp_tb = tstate->exc_state.exc_traceback;
    tstate->exc_state.exc_type = type;
    tstate->exc_state.exc_value = value;
    tstate->exc_state.exc_traceback = tb;
    #else
    tmp_type = tstate->exc_type;
    tmp_value = tstate->exc_value;
    tmp_tb = tstate->exc_traceback;
    tstate->exc_type = type;
    tstate->exc_value = value;
    tstate->exc_traceback = tb;
    #endif
    Py_XDECREF(tmp_type);
    Py_XDECREF(tmp_value);
    Py_XDECREF(tmp_tb);
}
#endif

/* PyErrExceptionMatches */
        #if CYTHON_FAST_THREAD_STATE
static int __Pyx_PyErr_ExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
    Py_ssize_t i, n;
    n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
    for (i=0; i<n; i++) {
        if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
    }
#endif
    for (i=0; i<n; i++) {
        if (__Pyx_PyErr_GivenExceptionMatches(exc_type, PyTuple_GET_ITEM(tuple, i))) return 1;
    }
    return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_ExceptionMatchesInState(PyThreadState* tstate, PyObject* err) {
    PyObject *exc_type = tstate->curexc_type;
    if (exc_type == err) return 1;
    if (unlikely(!exc_type)) return 0;
    if (unlikely(PyTuple_Check(err)))
        return __Pyx_PyErr_ExceptionMatchesTuple(exc_type, err);
    return __Pyx_PyErr_GivenExceptionMatches(exc_type, err);
}
#endif

/* GetException */
        #if CYTHON_FAST_THREAD_STATE
static int __Pyx__GetException(PyThreadState *tstate, PyObject **type, PyObject **value, PyObject **tb) {
#else
static int __Pyx_GetException(PyObject **type, PyObject **value, PyObject **tb) {
#endif
    PyObject *local_type, *local_value, *local_tb;
#if CYTHON_FAST_THREAD_STATE
    PyObject *tmp_type, *tmp_value, *tmp_tb;
    local_type = tstate->curexc_type;
    local_value = tstate->curexc_value;
    local_tb = tstate->curexc_traceback;
    tstate->curexc_type = 0;
    tstate->curexc_value = 0;
    tstate->curexc_traceback = 0;
#else
    PyErr_Fetch(&local_type, &local_value, &local_tb);
#endif
    PyErr_NormalizeException(&local_type, &local_value, &local_tb);
#if CYTHON_FAST_THREAD_STATE
    if (unlikely(tstate->curexc_type))
#else
    if (unlikely(PyErr_Occurred()))
#endif
        goto bad;
    #if PY_MAJOR_VERSION >= 3
    if (local_tb) {
        if (unlikely(PyException_SetTraceback(local_value, local_tb) < 0))
            goto bad;
    }
    #endif
    Py_XINCREF(local_tb);
    Py_XINCREF(local_type);
    Py_XINCREF(local_value);
    *type = local_type;
    *value = local_value;
    *tb = local_tb;
#if CYTHON_FAST_THREAD_STATE
    #if PY_VERSION_HEX >= 0x030700A3
    tmp_type = tstate->exc_state.exc_type;
    tmp_value = tstate->exc_state.exc_value;
    tmp_tb = tstate->exc_state.exc_traceback;
    tstate->exc_state.exc_type = local_type;
    tstate->exc_state.exc_value = local_value;
    tstate->exc_state.exc_traceback = local_tb;
    #else
    tmp_type = tstate->exc_type;
    tmp_value = tstate->exc_value;
    tmp_tb = tstate->exc_traceback;
    tstate->exc_type = local_type;
    tstate->exc_value = local_value;
    tstate->exc_traceback = local_tb;
    #endif
    Py_XDECREF(tmp_type);
    Py_XDECREF(tmp_value);
    Py_XDECREF(tmp_tb);
#else
    PyErr_SetExcInfo(local_type, local_value, local_tb);
#endif
    return 0;
bad:
    *type = 0;
    *value = 0;
    *tb = 0;
    Py_XDECREF(local_type);
    Py_XDECREF(local_value);
    Py_XDECREF(local_tb);
    return -1;
}

/* PyObjectCallMethod1 */
          static PyObject* __Pyx__PyObject_CallMethod1(PyObject* method, PyObject* arg) {
    PyObject *result = NULL;
#if CYTHON_UNPACK_METHODS
    if (likely(PyMethod_Check(method))) {
        PyObject *self = PyMethod_GET_SELF(method);
        if (likely(self)) {
            PyObject *args;
            PyObject *function = PyMethod_GET_FUNCTION(method);
            #if CYTHON_FAST_PYCALL
            if (PyFunction_Check(function)) {
                PyObject *args[2] = {self, arg};
                result = __Pyx_PyFunction_FastCall(function, args, 2);
                goto done;
            }
            #endif
            #if CYTHON_FAST_PYCCALL
            if (__Pyx_PyFastCFunction_Check(function)) {
                PyObject *args[2] = {self, arg};
                result = __Pyx_PyCFunction_FastCall(function, args, 2);
                goto done;
            }
            #endif
            args = PyTuple_New(2);
            if (unlikely(!args)) goto done;
            Py_INCREF(self);
            PyTuple_SET_ITEM(args, 0, self);
            Py_INCREF(arg);
            PyTuple_SET_ITEM(args, 1, arg);
            Py_INCREF(function);
            result = __Pyx_PyObject_Call(function, args, NULL);
            Py_DECREF(args);
            Py_DECREF(function);
            return result;
        }
    }
#endif
    result = __Pyx_PyObject_CallOneArg(method, arg);
    goto done;
done:
    return result;
}
static PyObject* __Pyx_PyObject_CallMethod1(PyObject* obj, PyObject* method_name, PyObject* arg) {
    PyObject *method, *result;
    method = __Pyx_PyObject_GetAttrStr(obj, method_name);
    if (unlikely(!method)) return NULL;
    result = __Pyx__PyObject_CallMethod1(method, arg);
    Py_DECREF(method);
    return result;
}

/* append */
          static CYTHON_INLINE int __Pyx_PyObject_Append(PyObject* L, PyObject* x) {
    if (likely(PyList_CheckExact(L))) {
        if (unlikely(__Pyx_PyList_Append(L, x) < 0)) return -1;
    } else {
        PyObject* retval = __Pyx_PyObject_CallMethod1(L, __pyx_n_s_append, x);
        if (unlikely(!retval))
            return -1;
        Py_DECREF(retval);
    }
    return 0;
}

/* pop_index */
          static PyObject* __Pyx__PyObject_PopNewIndex(PyObject* L, PyObject* py_ix) {
    PyObject *r;
    if (unlikely(!py_ix)) return NULL;
    r = __Pyx__PyObject_PopIndex(L, py_ix);
    Py_DECREF(py_ix);
    return r;
}
static PyObject* __Pyx__PyObject_PopIndex(PyObject* L, PyObject* py_ix) {
    return __Pyx_PyObject_CallMethod1(L, __pyx_n_s_pop, py_ix);
}
#if CYTHON_USE_PYLIST_INTERNALS && CYTHON_ASSUME_SAFE_MACROS
static PyObject* __Pyx__PyList_PopIndex(PyObject* L, PyObject* py_ix, Py_ssize_t ix) {
    Py_ssize_t size = PyList_GET_SIZE(L);
    if (likely(size > (((PyListObject*)L)->allocated >> 1))) {
        Py_ssize_t cix = ix;
        if (cix < 0) {
            cix += size;
        }
        if (likely(0 <= cix && cix < size)) {
            PyObject* v = PyList_GET_ITEM(L, cix);
            Py_SIZE(L) -= 1;
            size -= 1;
            memmove(&PyList_GET_ITEM(L, cix), &PyList_GET_ITEM(L, cix+1), (size_t)(size-cix)*sizeof(PyObject*));
            return v;
        }
    }
    if (py_ix == Py_None) {
        return __Pyx__PyObject_PopNewIndex(L, PyInt_FromSsize_t(ix));
    } else {
        return __Pyx__PyObject_PopIndex(L, py_ix);
    }
}
#endif

/* BytesEquals */
          static CYTHON_INLINE int __Pyx_PyBytes_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
    return PyObject_RichCompareBool(s1, s2, equals);
#else
    if (s1 == s2) {
        return (equals == Py_EQ);
    } else if (PyBytes_CheckExact(s1) & PyBytes_CheckExact(s2)) {
        const char *ps1, *ps2;
        Py_ssize_t length = PyBytes_GET_SIZE(s1);
        if (length != PyBytes_GET_SIZE(s2))
            return (equals == Py_NE);
        ps1 = PyBytes_AS_STRING(s1);
        ps2 = PyBytes_AS_STRING(s2);
        if (ps1[0] != ps2[0]) {
            return (equals == Py_NE);
        } else if (length == 1) {
            return (equals == Py_EQ);
        } else {
            int result;
#if CYTHON_USE_UNICODE_INTERNALS
            Py_hash_t hash1, hash2;
            hash1 = ((PyBytesObject*)s1)->ob_shash;
            hash2 = ((PyBytesObject*)s2)->ob_shash;
            if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
                return (equals == Py_NE);
            }
#endif
            result = memcmp(ps1, ps2, (size_t)length);
            return (equals == Py_EQ) ? (result == 0) : (result != 0);
        }
    } else if ((s1 == Py_None) & PyBytes_CheckExact(s2)) {
        return (equals == Py_NE);
    } else if ((s2 == Py_None) & PyBytes_CheckExact(s1)) {
        return (equals == Py_NE);
    } else {
        int result;
        PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
        if (!py_result)
            return -1;
        result = __Pyx_PyObject_IsTrue(py_result);
        Py_DECREF(py_result);
        return result;
    }
#endif
}

/* UnicodeEquals */
          static CYTHON_INLINE int __Pyx_PyUnicode_Equals(PyObject* s1, PyObject* s2, int equals) {
#if CYTHON_COMPILING_IN_PYPY
    return PyObject_RichCompareBool(s1, s2, equals);
#else
#if PY_MAJOR_VERSION < 3
    PyObject* owned_ref = NULL;
#endif
    int s1_is_unicode, s2_is_unicode;
    if (s1 == s2) {
        goto return_eq;
    }
    s1_is_unicode = PyUnicode_CheckExact(s1);
    s2_is_unicode = PyUnicode_CheckExact(s2);
#if PY_MAJOR_VERSION < 3
    if ((s1_is_unicode & (!s2_is_unicode)) && PyString_CheckExact(s2)) {
        owned_ref = PyUnicode_FromObject(s2);
        if (unlikely(!owned_ref))
            return -1;
        s2 = owned_ref;
        s2_is_unicode = 1;
    } else if ((s2_is_unicode & (!s1_is_unicode)) && PyString_CheckExact(s1)) {
        owned_ref = PyUnicode_FromObject(s1);
        if (unlikely(!owned_ref))
            return -1;
        s1 = owned_ref;
        s1_is_unicode = 1;
    } else if (((!s2_is_unicode) & (!s1_is_unicode))) {
        return __Pyx_PyBytes_Equals(s1, s2, equals);
    }
#endif
    if (s1_is_unicode & s2_is_unicode) {
        Py_ssize_t length;
        int kind;
        void *data1, *data2;
        if (unlikely(__Pyx_PyUnicode_READY(s1) < 0) || unlikely(__Pyx_PyUnicode_READY(s2) < 0))
            return -1;
        length = __Pyx_PyUnicode_GET_LENGTH(s1);
        if (length != __Pyx_PyUnicode_GET_LENGTH(s2)) {
            goto return_ne;
        }
#if CYTHON_USE_UNICODE_INTERNALS
        {
            Py_hash_t hash1, hash2;
        #if CYTHON_PEP393_ENABLED
            hash1 = ((PyASCIIObject*)s1)->hash;
            hash2 = ((PyASCIIObject*)s2)->hash;
        #else
            hash1 = ((PyUnicodeObject*)s1)->hash;
            hash2 = ((PyUnicodeObject*)s2)->hash;
        #endif
            if (hash1 != hash2 && hash1 != -1 && hash2 != -1) {
                goto return_ne;
            }
        }
#endif
        kind = __Pyx_PyUnicode_KIND(s1);
        if (kind != __Pyx_PyUnicode_KIND(s2)) {
            goto return_ne;
        }
        data1 = __Pyx_PyUnicode_DATA(s1);
        data2 = __Pyx_PyUnicode_DATA(s2);
        if (__Pyx_PyUnicode_READ(kind, data1, 0) != __Pyx_PyUnicode_READ(kind, data2, 0)) {
            goto return_ne;
        } else if (length == 1) {
            goto return_eq;
        } else {
            int result = memcmp(data1, data2, (size_t)(length * kind));
            #if PY_MAJOR_VERSION < 3
            Py_XDECREF(owned_ref);
            #endif
            return (equals == Py_EQ) ? (result == 0) : (result != 0);
        }
    } else if ((s1 == Py_None) & s2_is_unicode) {
        goto return_ne;
    } else if ((s2 == Py_None) & s1_is_unicode) {
        goto return_ne;
    } else {
        int result;
        PyObject* py_result = PyObject_RichCompare(s1, s2, equals);
        #if PY_MAJOR_VERSION < 3
        Py_XDECREF(owned_ref);
        #endif
        if (!py_result)
            return -1;
        result = __Pyx_PyObject_IsTrue(py_result);
        Py_DECREF(py_result);
        return result;
    }
return_eq:
    #if PY_MAJOR_VERSION < 3
    Py_XDECREF(owned_ref);
    #endif
    return (equals == Py_EQ);
return_ne:
    #if PY_MAJOR_VERSION < 3
    Py_XDECREF(owned_ref);
    #endif
    return (equals == Py_NE);
#endif
}

/* DictGetItem */
          #if PY_MAJOR_VERSION >= 3 && !CYTHON_COMPILING_IN_PYPY
static PyObject *__Pyx_PyDict_GetItem(PyObject *d, PyObject* key) {
    PyObject *value;
    value = PyDict_GetItemWithError(d, key);
    if (unlikely(!value)) {
        if (!PyErr_Occurred()) {
            PyObject* args = PyTuple_Pack(1, key);
            if (likely(args))
                PyErr_SetObject(PyExc_KeyError, args);
            Py_XDECREF(args);
        }
        return NULL;
    }
    Py_INCREF(value);
    return value;
}
#endif

/* RaiseNoneIterError */
          static CYTHON_INLINE void __Pyx_RaiseNoneNotIterableError(void) {
    PyErr_SetString(PyExc_TypeError, "'NoneType' object is not iterable");
}

/* Import */
          static PyObject *__Pyx_Import(PyObject *name, PyObject *from_list, int level) {
    PyObject *empty_list = 0;
    PyObject *module = 0;
    PyObject *global_dict = 0;
    PyObject *empty_dict = 0;
    PyObject *list;
    #if PY_MAJOR_VERSION < 3
    PyObject *py_import;
    py_import = __Pyx_PyObject_GetAttrStr(__pyx_b, __pyx_n_s_import);
    if (!py_import)
        goto bad;
    #endif
    if (from_list)
        list = from_list;
    else {
        empty_list = PyList_New(0);
        if (!empty_list)
            goto bad;
        list = empty_list;
    }
    global_dict = PyModule_GetDict(__pyx_m);
    if (!global_dict)
        goto bad;
    empty_dict = PyDict_New();
    if (!empty_dict)
        goto bad;
    {
        #if PY_MAJOR_VERSION >= 3
        if (level == -1) {
            if (strchr(__Pyx_MODULE_NAME, '.')) {
                module = PyImport_ImportModuleLevelObject(
                    name, global_dict, empty_dict, list, 1);
                if (!module) {
                    if (!PyErr_ExceptionMatches(PyExc_ImportError))
                        goto bad;
                    PyErr_Clear();
                }
            }
            level = 0;
        }
        #endif
        if (!module) {
            #if PY_MAJOR_VERSION < 3
            PyObject *py_level = PyInt_FromLong(level);
            if (!py_level)
                goto bad;
            module = PyObject_CallFunctionObjArgs(py_import,
                name, global_dict, empty_dict, list, py_level, NULL);
            Py_DECREF(py_level);
            #else
            module = PyImport_ImportModuleLevelObject(
                name, global_dict, empty_dict, list, level);
            #endif
        }
    }
bad:
    #if PY_MAJOR_VERSION < 3
    Py_XDECREF(py_import);
    #endif
    Py_XDECREF(empty_list);
    Py_XDECREF(empty_dict);
    return module;
}

/* ImportFrom */
          static PyObject* __Pyx_ImportFrom(PyObject* module, PyObject* name) {
    PyObject* value = __Pyx_PyObject_GetAttrStr(module, name);
    if (unlikely(!value) && PyErr_ExceptionMatches(PyExc_AttributeError)) {
        PyErr_Format(PyExc_ImportError,
        #if PY_MAJOR_VERSION < 3
            "cannot import name %.230s", PyString_AS_STRING(name));
        #else
            "cannot import name %S", name);
        #endif
    }
    return value;
}

/* CalculateMetaclass */
          static PyObject *__Pyx_CalculateMetaclass(PyTypeObject *metaclass, PyObject *bases) {
    Py_ssize_t i, nbases = PyTuple_GET_SIZE(bases);
    for (i=0; i < nbases; i++) {
        PyTypeObject *tmptype;
        PyObject *tmp = PyTuple_GET_ITEM(bases, i);
        tmptype = Py_TYPE(tmp);
#if PY_MAJOR_VERSION < 3
        if (tmptype == &PyClass_Type)
            continue;
#endif
        if (!metaclass) {
            metaclass = tmptype;
            continue;
        }
        if (PyType_IsSubtype(metaclass, tmptype))
            continue;
        if (PyType_IsSubtype(tmptype, metaclass)) {
            metaclass = tmptype;
            continue;
        }
        PyErr_SetString(PyExc_TypeError,
                        "metaclass conflict: "
                        "the metaclass of a derived class "
                        "must be a (non-strict) subclass "
                        "of the metaclasses of all its bases");
        return NULL;
    }
    if (!metaclass) {
#if PY_MAJOR_VERSION < 3
        metaclass = &PyClass_Type;
#else
        metaclass = &PyType_Type;
#endif
    }
    Py_INCREF((PyObject*) metaclass);
    return (PyObject*) metaclass;
}

/* FetchCommonType */
          static PyTypeObject* __Pyx_FetchCommonType(PyTypeObject* type) {
    PyObject* fake_module;
    PyTypeObject* cached_type = NULL;
    fake_module = PyImport_AddModule((char*) "_cython_" CYTHON_ABI);
    if (!fake_module) return NULL;
    Py_INCREF(fake_module);
    cached_type = (PyTypeObject*) PyObject_GetAttrString(fake_module, type->tp_name);
    if (cached_type) {
        if (!PyType_Check((PyObject*)cached_type)) {
            PyErr_Format(PyExc_TypeError,
                "Shared Cython type %.200s is not a type object",
                type->tp_name);
            goto bad;
        }
        if (cached_type->tp_basicsize != type->tp_basicsize) {
            PyErr_Format(PyExc_TypeError,
                "Shared Cython type %.200s has the wrong size, try recompiling",
                type->tp_name);
            goto bad;
        }
    } else {
        if (!PyErr_ExceptionMatches(PyExc_AttributeError)) goto bad;
        PyErr_Clear();
        if (PyType_Ready(type) < 0) goto bad;
        if (PyObject_SetAttrString(fake_module, type->tp_name, (PyObject*) type) < 0)
            goto bad;
        Py_INCREF(type);
        cached_type = type;
    }
done:
    Py_DECREF(fake_module);
    return cached_type;
bad:
    Py_XDECREF(cached_type);
    cached_type = NULL;
    goto done;
}

/* CythonFunction */
          #include <structmember.h>
static PyObject *
__Pyx_CyFunction_get_doc(__pyx_CyFunctionObject *op, CYTHON_UNUSED void *closure)
{
    if (unlikely(op->func_doc == NULL)) {
        if (op->func.m_ml->ml_doc) {
#if PY_MAJOR_VERSION >= 3
            op->func_doc = PyUnicode_FromString(op->func.m_ml->ml_doc);
#else
            op->func_doc = PyString_FromString(op->func.m_ml->ml_doc);
#endif
            if (unlikely(op->func_doc == NULL))
                return NULL;
        } else {
            Py_INCREF(Py_None);
            return Py_None;
        }
    }
    Py_INCREF(op->func_doc);
    return op->func_doc;
}
static int
__Pyx_CyFunction_set_doc(__pyx_CyFunctionObject *op, PyObject *value)
{
    PyObject *tmp = op->func_doc;
    if (value == NULL) {
        value = Py_None;
    }
    Py_INCREF(value);
    op->func_doc = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_name(__pyx_CyFunctionObject *op)
{
    if (unlikely(op->func_name == NULL)) {
#if PY_MAJOR_VERSION >= 3
        op->func_name = PyUnicode_InternFromString(op->func.m_ml->ml_name);
#else
        op->func_name = PyString_InternFromString(op->func.m_ml->ml_name);
#endif
        if (unlikely(op->func_name == NULL))
            return NULL;
    }
    Py_INCREF(op->func_name);
    return op->func_name;
}
static int
__Pyx_CyFunction_set_name(__pyx_CyFunctionObject *op, PyObject *value)
{
    PyObject *tmp;
#if PY_MAJOR_VERSION >= 3
    if (unlikely(value == NULL || !PyUnicode_Check(value))) {
#else
    if (unlikely(value == NULL || !PyString_Check(value))) {
#endif
        PyErr_SetString(PyExc_TypeError,
                        "__name__ must be set to a string object");
        return -1;
    }
    tmp = op->func_name;
    Py_INCREF(value);
    op->func_name = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_qualname(__pyx_CyFunctionObject *op)
{
    Py_INCREF(op->func_qualname);
    return op->func_qualname;
}
static int
__Pyx_CyFunction_set_qualname(__pyx_CyFunctionObject *op, PyObject *value)
{
    PyObject *tmp;
#if PY_MAJOR_VERSION >= 3
    if (unlikely(value == NULL || !PyUnicode_Check(value))) {
#else
    if (unlikely(value == NULL || !PyString_Check(value))) {
#endif
        PyErr_SetString(PyExc_TypeError,
                        "__qualname__ must be set to a string object");
        return -1;
    }
    tmp = op->func_qualname;
    Py_INCREF(value);
    op->func_qualname = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_self(__pyx_CyFunctionObject *m, CYTHON_UNUSED void *closure)
{
    PyObject *self;
    self = m->func_closure;
    if (self == NULL)
        self = Py_None;
    Py_INCREF(self);
    return self;
}
static PyObject *
__Pyx_CyFunction_get_dict(__pyx_CyFunctionObject *op)
{
    if (unlikely(op->func_dict == NULL)) {
        op->func_dict = PyDict_New();
        if (unlikely(op->func_dict == NULL))
            return NULL;
    }
    Py_INCREF(op->func_dict);
    return op->func_dict;
}
static int
__Pyx_CyFunction_set_dict(__pyx_CyFunctionObject *op, PyObject *value)
{
    PyObject *tmp;
    if (unlikely(value == NULL)) {
        PyErr_SetString(PyExc_TypeError,
               "function's dictionary may not be deleted");
        return -1;
    }
    if (unlikely(!PyDict_Check(value))) {
        PyErr_SetString(PyExc_TypeError,
               "setting function's dictionary to a non-dict");
        return -1;
    }
    tmp = op->func_dict;
    Py_INCREF(value);
    op->func_dict = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_globals(__pyx_CyFunctionObject *op)
{
    Py_INCREF(op->func_globals);
    return op->func_globals;
}
static PyObject *
__Pyx_CyFunction_get_closure(CYTHON_UNUSED __pyx_CyFunctionObject *op)
{
    Py_INCREF(Py_None);
    return Py_None;
}
static PyObject *
__Pyx_CyFunction_get_code(__pyx_CyFunctionObject *op)
{
    PyObject* result = (op->func_code) ? op->func_code : Py_None;
    Py_INCREF(result);
    return result;
}
static int
__Pyx_CyFunction_init_defaults(__pyx_CyFunctionObject *op) {
    int result = 0;
    PyObject *res = op->defaults_getter((PyObject *) op);
    if (unlikely(!res))
        return -1;
    #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
    op->defaults_tuple = PyTuple_GET_ITEM(res, 0);
    Py_INCREF(op->defaults_tuple);
    op->defaults_kwdict = PyTuple_GET_ITEM(res, 1);
    Py_INCREF(op->defaults_kwdict);
    #else
    op->defaults_tuple = PySequence_ITEM(res, 0);
    if (unlikely(!op->defaults_tuple)) result = -1;
    else {
        op->defaults_kwdict = PySequence_ITEM(res, 1);
        if (unlikely(!op->defaults_kwdict)) result = -1;
    }
    #endif
    Py_DECREF(res);
    return result;
}
static int
__Pyx_CyFunction_set_defaults(__pyx_CyFunctionObject *op, PyObject* value) {
    PyObject* tmp;
    if (!value) {
        value = Py_None;
    } else if (value != Py_None && !PyTuple_Check(value)) {
        PyErr_SetString(PyExc_TypeError,
                        "__defaults__ must be set to a tuple object");
        return -1;
    }
    Py_INCREF(value);
    tmp = op->defaults_tuple;
    op->defaults_tuple = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_defaults(__pyx_CyFunctionObject *op) {
    PyObject* result = op->defaults_tuple;
    if (unlikely(!result)) {
        if (op->defaults_getter) {
            if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL;
            result = op->defaults_tuple;
        } else {
            result = Py_None;
        }
    }
    Py_INCREF(result);
    return result;
}
static int
__Pyx_CyFunction_set_kwdefaults(__pyx_CyFunctionObject *op, PyObject* value) {
    PyObject* tmp;
    if (!value) {
        value = Py_None;
    } else if (value != Py_None && !PyDict_Check(value)) {
        PyErr_SetString(PyExc_TypeError,
                        "__kwdefaults__ must be set to a dict object");
        return -1;
    }
    Py_INCREF(value);
    tmp = op->defaults_kwdict;
    op->defaults_kwdict = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_kwdefaults(__pyx_CyFunctionObject *op) {
    PyObject* result = op->defaults_kwdict;
    if (unlikely(!result)) {
        if (op->defaults_getter) {
            if (__Pyx_CyFunction_init_defaults(op) < 0) return NULL;
            result = op->defaults_kwdict;
        } else {
            result = Py_None;
        }
    }
    Py_INCREF(result);
    return result;
}
static int
__Pyx_CyFunction_set_annotations(__pyx_CyFunctionObject *op, PyObject* value) {
    PyObject* tmp;
    if (!value || value == Py_None) {
        value = NULL;
    } else if (!PyDict_Check(value)) {
        PyErr_SetString(PyExc_TypeError,
                        "__annotations__ must be set to a dict object");
        return -1;
    }
    Py_XINCREF(value);
    tmp = op->func_annotations;
    op->func_annotations = value;
    Py_XDECREF(tmp);
    return 0;
}
static PyObject *
__Pyx_CyFunction_get_annotations(__pyx_CyFunctionObject *op) {
    PyObject* result = op->func_annotations;
    if (unlikely(!result)) {
        result = PyDict_New();
        if (unlikely(!result)) return NULL;
        op->func_annotations = result;
    }
    Py_INCREF(result);
    return result;
}
static PyGetSetDef __pyx_CyFunction_getsets[] = {
    {(char *) "func_doc", (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0},
    {(char *) "__doc__",  (getter)__Pyx_CyFunction_get_doc, (setter)__Pyx_CyFunction_set_doc, 0, 0},
    {(char *) "func_name", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0},
    {(char *) "__name__", (getter)__Pyx_CyFunction_get_name, (setter)__Pyx_CyFunction_set_name, 0, 0},
    {(char *) "__qualname__", (getter)__Pyx_CyFunction_get_qualname, (setter)__Pyx_CyFunction_set_qualname, 0, 0},
    {(char *) "__self__", (getter)__Pyx_CyFunction_get_self, 0, 0, 0},
    {(char *) "func_dict", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0},
    {(char *) "__dict__", (getter)__Pyx_CyFunction_get_dict, (setter)__Pyx_CyFunction_set_dict, 0, 0},
    {(char *) "func_globals", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0},
    {(char *) "__globals__", (getter)__Pyx_CyFunction_get_globals, 0, 0, 0},
    {(char *) "func_closure", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0},
    {(char *) "__closure__", (getter)__Pyx_CyFunction_get_closure, 0, 0, 0},
    {(char *) "func_code", (getter)__Pyx_CyFunction_get_code, 0, 0, 0},
    {(char *) "__code__", (getter)__Pyx_CyFunction_get_code, 0, 0, 0},
    {(char *) "func_defaults", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0},
    {(char *) "__defaults__", (getter)__Pyx_CyFunction_get_defaults, (setter)__Pyx_CyFunction_set_defaults, 0, 0},
    {(char *) "__kwdefaults__", (getter)__Pyx_CyFunction_get_kwdefaults, (setter)__Pyx_CyFunction_set_kwdefaults, 0, 0},
    {(char *) "__annotations__", (getter)__Pyx_CyFunction_get_annotations, (setter)__Pyx_CyFunction_set_annotations, 0, 0},
    {0, 0, 0, 0, 0}
};
static PyMemberDef __pyx_CyFunction_members[] = {
    {(char *) "__module__", T_OBJECT, offsetof(PyCFunctionObject, m_module), PY_WRITE_RESTRICTED, 0},
    {0, 0, 0,  0, 0}
};
static PyObject *
__Pyx_CyFunction_reduce(__pyx_CyFunctionObject *m, CYTHON_UNUSED PyObject *args)
{
#if PY_MAJOR_VERSION >= 3
    return PyUnicode_FromString(m->func.m_ml->ml_name);
#else
    return PyString_FromString(m->func.m_ml->ml_name);
#endif
}
static PyMethodDef __pyx_CyFunction_methods[] = {
    {"__reduce__", (PyCFunction)__Pyx_CyFunction_reduce, METH_VARARGS, 0},
    {0, 0, 0, 0}
};
#if PY_VERSION_HEX < 0x030500A0
#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func_weakreflist)
#else
#define __Pyx_CyFunction_weakreflist(cyfunc) ((cyfunc)->func.m_weakreflist)
#endif
static PyObject *__Pyx_CyFunction_New(PyTypeObject *type, PyMethodDef *ml, int flags, PyObject* qualname,
                                      PyObject *closure, PyObject *module, PyObject* globals, PyObject* code) {
    __pyx_CyFunctionObject *op = PyObject_GC_New(__pyx_CyFunctionObject, type);
    if (op == NULL)
        return NULL;
    op->flags = flags;
    __Pyx_CyFunction_weakreflist(op) = NULL;
    op->func.m_ml = ml;
    op->func.m_self = (PyObject *) op;
    Py_XINCREF(closure);
    op->func_closure = closure;
    Py_XINCREF(module);
    op->func.m_module = module;
    op->func_dict = NULL;
    op->func_name = NULL;
    Py_INCREF(qualname);
    op->func_qualname = qualname;
    op->func_doc = NULL;
    op->func_classobj = NULL;
    op->func_globals = globals;
    Py_INCREF(op->func_globals);
    Py_XINCREF(code);
    op->func_code = code;
    op->defaults_pyobjects = 0;
    op->defaults = NULL;
    op->defaults_tuple = NULL;
    op->defaults_kwdict = NULL;
    op->defaults_getter = NULL;
    op->func_annotations = NULL;
    PyObject_GC_Track(op);
    return (PyObject *) op;
}
static int
__Pyx_CyFunction_clear(__pyx_CyFunctionObject *m)
{
    Py_CLEAR(m->func_closure);
    Py_CLEAR(m->func.m_module);
    Py_CLEAR(m->func_dict);
    Py_CLEAR(m->func_name);
    Py_CLEAR(m->func_qualname);
    Py_CLEAR(m->func_doc);
    Py_CLEAR(m->func_globals);
    Py_CLEAR(m->func_code);
    Py_CLEAR(m->func_classobj);
    Py_CLEAR(m->defaults_tuple);
    Py_CLEAR(m->defaults_kwdict);
    Py_CLEAR(m->func_annotations);
    if (m->defaults) {
        PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m);
        int i;
        for (i = 0; i < m->defaults_pyobjects; i++)
            Py_XDECREF(pydefaults[i]);
        PyObject_Free(m->defaults);
        m->defaults = NULL;
    }
    return 0;
}
static void __Pyx__CyFunction_dealloc(__pyx_CyFunctionObject *m)
{
    if (__Pyx_CyFunction_weakreflist(m) != NULL)
        PyObject_ClearWeakRefs((PyObject *) m);
    __Pyx_CyFunction_clear(m);
    PyObject_GC_Del(m);
}
static void __Pyx_CyFunction_dealloc(__pyx_CyFunctionObject *m)
{
    PyObject_GC_UnTrack(m);
    __Pyx__CyFunction_dealloc(m);
}
static int __Pyx_CyFunction_traverse(__pyx_CyFunctionObject *m, visitproc visit, void *arg)
{
    Py_VISIT(m->func_closure);
    Py_VISIT(m->func.m_module);
    Py_VISIT(m->func_dict);
    Py_VISIT(m->func_name);
    Py_VISIT(m->func_qualname);
    Py_VISIT(m->func_doc);
    Py_VISIT(m->func_globals);
    Py_VISIT(m->func_code);
    Py_VISIT(m->func_classobj);
    Py_VISIT(m->defaults_tuple);
    Py_VISIT(m->defaults_kwdict);
    if (m->defaults) {
        PyObject **pydefaults = __Pyx_CyFunction_Defaults(PyObject *, m);
        int i;
        for (i = 0; i < m->defaults_pyobjects; i++)
            Py_VISIT(pydefaults[i]);
    }
    return 0;
}
static PyObject *__Pyx_CyFunction_descr_get(PyObject *func, PyObject *obj, PyObject *type)
{
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    if (m->flags & __Pyx_CYFUNCTION_STATICMETHOD) {
        Py_INCREF(func);
        return func;
    }
    if (m->flags & __Pyx_CYFUNCTION_CLASSMETHOD) {
        if (type == NULL)
            type = (PyObject *)(Py_TYPE(obj));
        return __Pyx_PyMethod_New(func, type, (PyObject *)(Py_TYPE(type)));
    }
    if (obj == Py_None)
        obj = NULL;
    return __Pyx_PyMethod_New(func, obj, type);
}
static PyObject*
__Pyx_CyFunction_repr(__pyx_CyFunctionObject *op)
{
#if PY_MAJOR_VERSION >= 3
    return PyUnicode_FromFormat("<cyfunction %U at %p>",
                                op->func_qualname, (void *)op);
#else
    return PyString_FromFormat("<cyfunction %s at %p>",
                               PyString_AsString(op->func_qualname), (void *)op);
#endif
}
static PyObject * __Pyx_CyFunction_CallMethod(PyObject *func, PyObject *self, PyObject *arg, PyObject *kw) {
    PyCFunctionObject* f = (PyCFunctionObject*)func;
    PyCFunction meth = f->m_ml->ml_meth;
    Py_ssize_t size;
    switch (f->m_ml->ml_flags & (METH_VARARGS | METH_KEYWORDS | METH_NOARGS | METH_O)) {
    case METH_VARARGS:
        if (likely(kw == NULL || PyDict_Size(kw) == 0))
            return (*meth)(self, arg);
        break;
    case METH_VARARGS | METH_KEYWORDS:
        return (*(PyCFunctionWithKeywords)meth)(self, arg, kw);
    case METH_NOARGS:
        if (likely(kw == NULL || PyDict_Size(kw) == 0)) {
            size = PyTuple_GET_SIZE(arg);
            if (likely(size == 0))
                return (*meth)(self, NULL);
            PyErr_Format(PyExc_TypeError,
                "%.200s() takes no arguments (%" CYTHON_FORMAT_SSIZE_T "d given)",
                f->m_ml->ml_name, size);
            return NULL;
        }
        break;
    case METH_O:
        if (likely(kw == NULL || PyDict_Size(kw) == 0)) {
            size = PyTuple_GET_SIZE(arg);
            if (likely(size == 1)) {
                PyObject *result, *arg0;
                #if CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS
                arg0 = PyTuple_GET_ITEM(arg, 0);
                #else
                arg0 = PySequence_ITEM(arg, 0); if (unlikely(!arg0)) return NULL;
                #endif
                result = (*meth)(self, arg0);
                #if !(CYTHON_ASSUME_SAFE_MACROS && !CYTHON_AVOID_BORROWED_REFS)
                Py_DECREF(arg0);
                #endif
                return result;
            }
            PyErr_Format(PyExc_TypeError,
                "%.200s() takes exactly one argument (%" CYTHON_FORMAT_SSIZE_T "d given)",
                f->m_ml->ml_name, size);
            return NULL;
        }
        break;
    default:
        PyErr_SetString(PyExc_SystemError, "Bad call flags in "
                        "__Pyx_CyFunction_Call. METH_OLDARGS is no "
                        "longer supported!");
        return NULL;
    }
    PyErr_Format(PyExc_TypeError, "%.200s() takes no keyword arguments",
                 f->m_ml->ml_name);
    return NULL;
}
static CYTHON_INLINE PyObject *__Pyx_CyFunction_Call(PyObject *func, PyObject *arg, PyObject *kw) {
    return __Pyx_CyFunction_CallMethod(func, ((PyCFunctionObject*)func)->m_self, arg, kw);
}
static PyObject *__Pyx_CyFunction_CallAsMethod(PyObject *func, PyObject *args, PyObject *kw) {
    PyObject *result;
    __pyx_CyFunctionObject *cyfunc = (__pyx_CyFunctionObject *) func;
    if ((cyfunc->flags & __Pyx_CYFUNCTION_CCLASS) && !(cyfunc->flags & __Pyx_CYFUNCTION_STATICMETHOD)) {
        Py_ssize_t argc;
        PyObject *new_args;
        PyObject *self;
        argc = PyTuple_GET_SIZE(args);
        new_args = PyTuple_GetSlice(args, 1, argc);
        if (unlikely(!new_args))
            return NULL;
        self = PyTuple_GetItem(args, 0);
        if (unlikely(!self)) {
            Py_DECREF(new_args);
            return NULL;
        }
        result = __Pyx_CyFunction_CallMethod(func, self, new_args, kw);
        Py_DECREF(new_args);
    } else {
        result = __Pyx_CyFunction_Call(func, args, kw);
    }
    return result;
}
static PyTypeObject __pyx_CyFunctionType_type = {
    PyVarObject_HEAD_INIT(0, 0)
    "cython_function_or_method",
    sizeof(__pyx_CyFunctionObject),
    0,
    (destructor) __Pyx_CyFunction_dealloc,
    0,
    0,
    0,
#if PY_MAJOR_VERSION < 3
    0,
#else
    0,
#endif
    (reprfunc) __Pyx_CyFunction_repr,
    0,
    0,
    0,
    0,
    __Pyx_CyFunction_CallAsMethod,
    0,
    0,
    0,
    0,
    Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC,
    0,
    (traverseproc) __Pyx_CyFunction_traverse,
    (inquiry) __Pyx_CyFunction_clear,
    0,
#if PY_VERSION_HEX < 0x030500A0
    offsetof(__pyx_CyFunctionObject, func_weakreflist),
#else
    offsetof(PyCFunctionObject, m_weakreflist),
#endif
    0,
    0,
    __pyx_CyFunction_methods,
    __pyx_CyFunction_members,
    __pyx_CyFunction_getsets,
    0,
    0,
    __Pyx_CyFunction_descr_get,
    0,
    offsetof(__pyx_CyFunctionObject, func_dict),
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
    0,
#if PY_VERSION_HEX >= 0x030400a1
    0,
#endif
};
static int __pyx_CyFunction_init(void) {
    __pyx_CyFunctionType = __Pyx_FetchCommonType(&__pyx_CyFunctionType_type);
    if (unlikely(__pyx_CyFunctionType == NULL)) {
        return -1;
    }
    return 0;
}
static CYTHON_INLINE void *__Pyx_CyFunction_InitDefaults(PyObject *func, size_t size, int pyobjects) {
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    m->defaults = PyObject_Malloc(size);
    if (unlikely(!m->defaults))
        return PyErr_NoMemory();
    memset(m->defaults, 0, size);
    m->defaults_pyobjects = pyobjects;
    return m->defaults;
}
static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsTuple(PyObject *func, PyObject *tuple) {
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    m->defaults_tuple = tuple;
    Py_INCREF(tuple);
}
static CYTHON_INLINE void __Pyx_CyFunction_SetDefaultsKwDict(PyObject *func, PyObject *dict) {
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    m->defaults_kwdict = dict;
    Py_INCREF(dict);
}
static CYTHON_INLINE void __Pyx_CyFunction_SetAnnotationsDict(PyObject *func, PyObject *dict) {
    __pyx_CyFunctionObject *m = (__pyx_CyFunctionObject *) func;
    m->func_annotations = dict;
    Py_INCREF(dict);
}

/* Py3ClassCreate */
              static PyObject *__Pyx_Py3MetaclassPrepare(PyObject *metaclass, PyObject *bases, PyObject *name,
                                           PyObject *qualname, PyObject *mkw, PyObject *modname, PyObject *doc) {
    PyObject *ns;
    if (metaclass) {
        PyObject *prep = __Pyx_PyObject_GetAttrStr(metaclass, __pyx_n_s_prepare);
        if (prep) {
            PyObject *pargs = PyTuple_Pack(2, name, bases);
            if (unlikely(!pargs)) {
                Py_DECREF(prep);
                return NULL;
            }
            ns = PyObject_Call(prep, pargs, mkw);
            Py_DECREF(prep);
            Py_DECREF(pargs);
        } else {
            if (unlikely(!PyErr_ExceptionMatches(PyExc_AttributeError)))
                return NULL;
            PyErr_Clear();
            ns = PyDict_New();
        }
    } else {
        ns = PyDict_New();
    }
    if (unlikely(!ns))
        return NULL;
    if (unlikely(PyObject_SetItem(ns, __pyx_n_s_module, modname) < 0)) goto bad;
    if (unlikely(PyObject_SetItem(ns, __pyx_n_s_qualname, qualname) < 0)) goto bad;
    if (unlikely(doc && PyObject_SetItem(ns, __pyx_n_s_doc, doc) < 0)) goto bad;
    return ns;
bad:
    Py_DECREF(ns);
    return NULL;
}
static PyObject *__Pyx_Py3ClassCreate(PyObject *metaclass, PyObject *name, PyObject *bases,
                                      PyObject *dict, PyObject *mkw,
                                      int calculate_metaclass, int allow_py2_metaclass) {
    PyObject *result, *margs;
    PyObject *owned_metaclass = NULL;
    if (allow_py2_metaclass) {
        owned_metaclass = PyObject_GetItem(dict, __pyx_n_s_metaclass);
        if (owned_metaclass) {
            metaclass = owned_metaclass;
        } else if (likely(PyErr_ExceptionMatches(PyExc_KeyError))) {
            PyErr_Clear();
        } else {
            return NULL;
        }
    }
    if (calculate_metaclass && (!metaclass || PyType_Check(metaclass))) {
        metaclass = __Pyx_CalculateMetaclass((PyTypeObject*) metaclass, bases);
        Py_XDECREF(owned_metaclass);
        if (unlikely(!metaclass))
            return NULL;
        owned_metaclass = metaclass;
    }
    margs = PyTuple_Pack(3, name, bases, dict);
    if (unlikely(!margs)) {
        result = NULL;
    } else {
        result = PyObject_Call(metaclass, margs, mkw);
        Py_DECREF(margs);
    }
    Py_XDECREF(owned_metaclass);
    return result;
}

/* CLineInTraceback */
              #ifndef CYTHON_CLINE_IN_TRACEBACK
static int __Pyx_CLineForTraceback(CYTHON_UNUSED PyThreadState *tstate, int c_line) {
    PyObject *use_cline;
    PyObject *ptype, *pvalue, *ptraceback;
#if CYTHON_COMPILING_IN_CPYTHON
    PyObject **cython_runtime_dict;
#endif
    if (unlikely(!__pyx_cython_runtime)) {
        return c_line;
    }
    __Pyx_ErrFetchInState(tstate, &ptype, &pvalue, &ptraceback);
#if CYTHON_COMPILING_IN_CPYTHON
    cython_runtime_dict = _PyObject_GetDictPtr(__pyx_cython_runtime);
    if (likely(cython_runtime_dict)) {
      use_cline = __Pyx_PyDict_GetItemStr(*cython_runtime_dict, __pyx_n_s_cline_in_traceback);
    } else
#endif
    {
      PyObject *use_cline_obj = __Pyx_PyObject_GetAttrStr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback);
      if (use_cline_obj) {
        use_cline = PyObject_Not(use_cline_obj) ? Py_False : Py_True;
        Py_DECREF(use_cline_obj);
      } else {
        PyErr_Clear();
        use_cline = NULL;
      }
    }
    if (!use_cline) {
        c_line = 0;
        PyObject_SetAttr(__pyx_cython_runtime, __pyx_n_s_cline_in_traceback, Py_False);
    }
    else if (PyObject_Not(use_cline) != 0) {
        c_line = 0;
    }
    __Pyx_ErrRestoreInState(tstate, ptype, pvalue, ptraceback);
    return c_line;
}
#endif

/* CodeObjectCache */
              static int __pyx_bisect_code_objects(__Pyx_CodeObjectCacheEntry* entries, int count, int code_line) {
    int start = 0, mid = 0, end = count - 1;
    if (end >= 0 && code_line > entries[end].code_line) {
        return count;
    }
    while (start < end) {
        mid = start + (end - start) / 2;
        if (code_line < entries[mid].code_line) {
            end = mid;
        } else if (code_line > entries[mid].code_line) {
             start = mid + 1;
        } else {
            return mid;
        }
    }
    if (code_line <= entries[mid].code_line) {
        return mid;
    } else {
        return mid + 1;
    }
}
static PyCodeObject *__pyx_find_code_object(int code_line) {
    PyCodeObject* code_object;
    int pos;
    if (unlikely(!code_line) || unlikely(!__pyx_code_cache.entries)) {
        return NULL;
    }
    pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
    if (unlikely(pos >= __pyx_code_cache.count) || unlikely(__pyx_code_cache.entries[pos].code_line != code_line)) {
        return NULL;
    }
    code_object = __pyx_code_cache.entries[pos].code_object;
    Py_INCREF(code_object);
    return code_object;
}
static void __pyx_insert_code_object(int code_line, PyCodeObject* code_object) {
    int pos, i;
    __Pyx_CodeObjectCacheEntry* entries = __pyx_code_cache.entries;
    if (unlikely(!code_line)) {
        return;
    }
    if (unlikely(!entries)) {
        entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Malloc(64*sizeof(__Pyx_CodeObjectCacheEntry));
        if (likely(entries)) {
            __pyx_code_cache.entries = entries;
            __pyx_code_cache.max_count = 64;
            __pyx_code_cache.count = 1;
            entries[0].code_line = code_line;
            entries[0].code_object = code_object;
            Py_INCREF(code_object);
        }
        return;
    }
    pos = __pyx_bisect_code_objects(__pyx_code_cache.entries, __pyx_code_cache.count, code_line);
    if ((pos < __pyx_code_cache.count) && unlikely(__pyx_code_cache.entries[pos].code_line == code_line)) {
        PyCodeObject* tmp = entries[pos].code_object;
        entries[pos].code_object = code_object;
        Py_DECREF(tmp);
        return;
    }
    if (__pyx_code_cache.count == __pyx_code_cache.max_count) {
        int new_max = __pyx_code_cache.max_count + 64;
        entries = (__Pyx_CodeObjectCacheEntry*)PyMem_Realloc(
            __pyx_code_cache.entries, (size_t)new_max*sizeof(__Pyx_CodeObjectCacheEntry));
        if (unlikely(!entries)) {
            return;
        }
        __pyx_code_cache.entries = entries;
        __pyx_code_cache.max_count = new_max;
    }
    for (i=__pyx_code_cache.count; i>pos; i--) {
        entries[i] = entries[i-1];
    }
    entries[pos].code_line = code_line;
    entries[pos].code_object = code_object;
    __pyx_code_cache.count++;
    Py_INCREF(code_object);
}

/* AddTraceback */
              #include "compile.h"
#include "frameobject.h"
#include "traceback.h"
static PyCodeObject* __Pyx_CreateCodeObjectForTraceback(
            const char *funcname, int c_line,
            int py_line, const char *filename) {
    PyCodeObject *py_code = 0;
    PyObject *py_srcfile = 0;
    PyObject *py_funcname = 0;
    #if PY_MAJOR_VERSION < 3
    py_srcfile = PyString_FromString(filename);
    #else
    py_srcfile = PyUnicode_FromString(filename);
    #endif
    if (!py_srcfile) goto bad;
    if (c_line) {
        #if PY_MAJOR_VERSION < 3
        py_funcname = PyString_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
        #else
        py_funcname = PyUnicode_FromFormat( "%s (%s:%d)", funcname, __pyx_cfilenm, c_line);
        #endif
    }
    else {
        #if PY_MAJOR_VERSION < 3
        py_funcname = PyString_FromString(funcname);
        #else
        py_funcname = PyUnicode_FromString(funcname);
        #endif
    }
    if (!py_funcname) goto bad;
    py_code = __Pyx_PyCode_New(
        0,
        0,
        0,
        0,
        0,
        __pyx_empty_bytes, /*PyObject *code,*/
        __pyx_empty_tuple, /*PyObject *consts,*/
        __pyx_empty_tuple, /*PyObject *names,*/
        __pyx_empty_tuple, /*PyObject *varnames,*/
        __pyx_empty_tuple, /*PyObject *freevars,*/
        __pyx_empty_tuple, /*PyObject *cellvars,*/
        py_srcfile,   /*PyObject *filename,*/
        py_funcname,  /*PyObject *name,*/
        py_line,
        __pyx_empty_bytes  /*PyObject *lnotab*/
    );
    Py_DECREF(py_srcfile);
    Py_DECREF(py_funcname);
    return py_code;
bad:
    Py_XDECREF(py_srcfile);
    Py_XDECREF(py_funcname);
    return NULL;
}
static void __Pyx_AddTraceback(const char *funcname, int c_line,
                               int py_line, const char *filename) {
    PyCodeObject *py_code = 0;
    PyFrameObject *py_frame = 0;
    PyThreadState *tstate = __Pyx_PyThreadState_Current;
    if (c_line) {
        c_line = __Pyx_CLineForTraceback(tstate, c_line);
    }
    py_code = __pyx_find_code_object(c_line ? -c_line : py_line);
    if (!py_code) {
        py_code = __Pyx_CreateCodeObjectForTraceback(
            funcname, c_line, py_line, filename);
        if (!py_code) goto bad;
        __pyx_insert_code_object(c_line ? -c_line : py_line, py_code);
    }
    py_frame = PyFrame_New(
        tstate,            /*PyThreadState *tstate,*/
        py_code,           /*PyCodeObject *code,*/
        __pyx_d,    /*PyObject *globals,*/
        0                  /*PyObject *locals*/
    );
    if (!py_frame) goto bad;
    __Pyx_PyFrame_SetLineNumber(py_frame, py_line);
    PyTraceBack_Here(py_frame);
bad:
    Py_XDECREF(py_code);
    Py_XDECREF(py_frame);
}

#if PY_MAJOR_VERSION < 3
static int __Pyx_GetBuffer(PyObject *obj, Py_buffer *view, int flags) {
    if (PyObject_CheckBuffer(obj)) return PyObject_GetBuffer(obj, view, flags);
        if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) return __pyx_pw_5numpy_7ndarray_1__getbuffer__(obj, view, flags);
    PyErr_Format(PyExc_TypeError, "'%.200s' does not have the buffer interface", Py_TYPE(obj)->tp_name);
    return -1;
}
static void __Pyx_ReleaseBuffer(Py_buffer *view) {
    PyObject *obj = view->obj;
    if (!obj) return;
    if (PyObject_CheckBuffer(obj)) {
        PyBuffer_Release(view);
        return;
    }
    if ((0)) {}
        else if (__Pyx_TypeCheck(obj, __pyx_ptype_5numpy_ndarray)) __pyx_pw_5numpy_7ndarray_3__releasebuffer__(obj, view);
    view->obj = NULL;
    Py_DECREF(obj);
}
#endif


              /* CIntFromPyVerify */
              #define __PYX_VERIFY_RETURN_INT(target_type, func_type, func_value)\
    __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 0)
#define __PYX_VERIFY_RETURN_INT_EXC(target_type, func_type, func_value)\
    __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, 1)
#define __PYX__VERIFY_RETURN_INT(target_type, func_type, func_value, exc)\
    {\
        func_type value = func_value;\
        if (sizeof(target_type) < sizeof(func_type)) {\
            if (unlikely(value != (func_type) (target_type) value)) {\
                func_type zero = 0;\
                if (exc && unlikely(value == (func_type)-1 && PyErr_Occurred()))\
                    return (target_type) -1;\
                if (is_unsigned && unlikely(value < zero))\
                    goto raise_neg_overflow;\
                else\
                    goto raise_overflow;\
            }\
        }\
        return (target_type) value;\
    }

/* CIntToPy */
              static CYTHON_INLINE PyObject* __Pyx_PyInt_From_int(int value) {
    const int neg_one = (int) -1, const_zero = (int) 0;
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(int) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(int) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(int) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
        }
    }
    {
        int one = 1; int little = (int)*(unsigned char *)&one;
        unsigned char *bytes = (unsigned char *)&value;
        return _PyLong_FromByteArray(bytes, sizeof(int),
                                     little, !is_unsigned);
    }
}

/* CIntToPy */
              static CYTHON_INLINE PyObject* __Pyx_PyInt_From_Py_intptr_t(Py_intptr_t value) {
    const Py_intptr_t neg_one = (Py_intptr_t) -1, const_zero = (Py_intptr_t) 0;
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(Py_intptr_t) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(Py_intptr_t) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(Py_intptr_t) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(Py_intptr_t) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(Py_intptr_t) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
        }
    }
    {
        int one = 1; int little = (int)*(unsigned char *)&one;
        unsigned char *bytes = (unsigned char *)&value;
        return _PyLong_FromByteArray(bytes, sizeof(Py_intptr_t),
                                     little, !is_unsigned);
    }
}

/* CIntToPy */
              static CYTHON_INLINE PyObject* __Pyx_PyInt_From_long(long value) {
    const long neg_one = (long) -1, const_zero = (long) 0;
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(long) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(long) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(long) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
        }
    }
    {
        int one = 1; int little = (int)*(unsigned char *)&one;
        unsigned char *bytes = (unsigned char *)&value;
        return _PyLong_FromByteArray(bytes, sizeof(long),
                                     little, !is_unsigned);
    }
}

/* Declarations */
              #if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
      return ::std::complex< float >(x, y);
    }
  #else
    static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
      return x + y*(__pyx_t_float_complex)_Complex_I;
    }
  #endif
#else
    static CYTHON_INLINE __pyx_t_float_complex __pyx_t_float_complex_from_parts(float x, float y) {
      __pyx_t_float_complex z;
      z.real = x;
      z.imag = y;
      return z;
    }
#endif

/* Arithmetic */
              #if CYTHON_CCOMPLEX
#else
    static CYTHON_INLINE int __Pyx_c_eq_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
       return (a.real == b.real) && (a.imag == b.imag);
    }
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_sum_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
        __pyx_t_float_complex z;
        z.real = a.real + b.real;
        z.imag = a.imag + b.imag;
        return z;
    }
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_diff_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
        __pyx_t_float_complex z;
        z.real = a.real - b.real;
        z.imag = a.imag - b.imag;
        return z;
    }
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_prod_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
        __pyx_t_float_complex z;
        z.real = a.real * b.real - a.imag * b.imag;
        z.imag = a.real * b.imag + a.imag * b.real;
        return z;
    }
    #if 1
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
        if (b.imag == 0) {
            return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);
        } else if (fabsf(b.real) >= fabsf(b.imag)) {
            if (b.real == 0 && b.imag == 0) {
                return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.imag);
            } else {
                float r = b.imag / b.real;
                float s = 1.0 / (b.real + b.imag * r);
                return __pyx_t_float_complex_from_parts(
                    (a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
            }
        } else {
            float r = b.real / b.imag;
            float s = 1.0 / (b.imag + b.real * r);
            return __pyx_t_float_complex_from_parts(
                (a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
        }
    }
    #else
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_quot_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
        if (b.imag == 0) {
            return __pyx_t_float_complex_from_parts(a.real / b.real, a.imag / b.real);
        } else {
            float denom = b.real * b.real + b.imag * b.imag;
            return __pyx_t_float_complex_from_parts(
                (a.real * b.real + a.imag * b.imag) / denom,
                (a.imag * b.real - a.real * b.imag) / denom);
        }
    }
    #endif
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_neg_float(__pyx_t_float_complex a) {
        __pyx_t_float_complex z;
        z.real = -a.real;
        z.imag = -a.imag;
        return z;
    }
    static CYTHON_INLINE int __Pyx_c_is_zero_float(__pyx_t_float_complex a) {
       return (a.real == 0) && (a.imag == 0);
    }
    static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_conj_float(__pyx_t_float_complex a) {
        __pyx_t_float_complex z;
        z.real =  a.real;
        z.imag = -a.imag;
        return z;
    }
    #if 1
        static CYTHON_INLINE float __Pyx_c_abs_float(__pyx_t_float_complex z) {
          #if !defined(HAVE_HYPOT) || defined(_MSC_VER)
            return sqrtf(z.real*z.real + z.imag*z.imag);
          #else
            return hypotf(z.real, z.imag);
          #endif
        }
        static CYTHON_INLINE __pyx_t_float_complex __Pyx_c_pow_float(__pyx_t_float_complex a, __pyx_t_float_complex b) {
            __pyx_t_float_complex z;
            float r, lnr, theta, z_r, z_theta;
            if (b.imag == 0 && b.real == (int)b.real) {
                if (b.real < 0) {
                    float denom = a.real * a.real + a.imag * a.imag;
                    a.real = a.real / denom;
                    a.imag = -a.imag / denom;
                    b.real = -b.real;
                }
                switch ((int)b.real) {
                    case 0:
                        z.real = 1;
                        z.imag = 0;
                        return z;
                    case 1:
                        return a;
                    case 2:
                        z = __Pyx_c_prod_float(a, a);
                        return __Pyx_c_prod_float(a, a);
                    case 3:
                        z = __Pyx_c_prod_float(a, a);
                        return __Pyx_c_prod_float(z, a);
                    case 4:
                        z = __Pyx_c_prod_float(a, a);
                        return __Pyx_c_prod_float(z, z);
                }
            }
            if (a.imag == 0) {
                if (a.real == 0) {
                    return a;
                } else if (b.imag == 0) {
                    z.real = powf(a.real, b.real);
                    z.imag = 0;
                    return z;
                } else if (a.real > 0) {
                    r = a.real;
                    theta = 0;
                } else {
                    r = -a.real;
                    theta = atan2f(0, -1);
                }
            } else {
                r = __Pyx_c_abs_float(a);
                theta = atan2f(a.imag, a.real);
            }
            lnr = logf(r);
            z_r = expf(lnr * b.real - theta * b.imag);
            z_theta = theta * b.real + lnr * b.imag;
            z.real = z_r * cosf(z_theta);
            z.imag = z_r * sinf(z_theta);
            return z;
        }
    #endif
#endif

/* Declarations */
              #if CYTHON_CCOMPLEX
  #ifdef __cplusplus
    static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
      return ::std::complex< double >(x, y);
    }
  #else
    static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
      return x + y*(__pyx_t_double_complex)_Complex_I;
    }
  #endif
#else
    static CYTHON_INLINE __pyx_t_double_complex __pyx_t_double_complex_from_parts(double x, double y) {
      __pyx_t_double_complex z;
      z.real = x;
      z.imag = y;
      return z;
    }
#endif

/* Arithmetic */
              #if CYTHON_CCOMPLEX
#else
    static CYTHON_INLINE int __Pyx_c_eq_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
       return (a.real == b.real) && (a.imag == b.imag);
    }
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_sum_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
        __pyx_t_double_complex z;
        z.real = a.real + b.real;
        z.imag = a.imag + b.imag;
        return z;
    }
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_diff_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
        __pyx_t_double_complex z;
        z.real = a.real - b.real;
        z.imag = a.imag - b.imag;
        return z;
    }
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_prod_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
        __pyx_t_double_complex z;
        z.real = a.real * b.real - a.imag * b.imag;
        z.imag = a.real * b.imag + a.imag * b.real;
        return z;
    }
    #if 1
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
        if (b.imag == 0) {
            return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
        } else if (fabs(b.real) >= fabs(b.imag)) {
            if (b.real == 0 && b.imag == 0) {
                return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.imag);
            } else {
                double r = b.imag / b.real;
                double s = 1.0 / (b.real + b.imag * r);
                return __pyx_t_double_complex_from_parts(
                    (a.real + a.imag * r) * s, (a.imag - a.real * r) * s);
            }
        } else {
            double r = b.real / b.imag;
            double s = 1.0 / (b.imag + b.real * r);
            return __pyx_t_double_complex_from_parts(
                (a.real * r + a.imag) * s, (a.imag * r - a.real) * s);
        }
    }
    #else
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_quot_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
        if (b.imag == 0) {
            return __pyx_t_double_complex_from_parts(a.real / b.real, a.imag / b.real);
        } else {
            double denom = b.real * b.real + b.imag * b.imag;
            return __pyx_t_double_complex_from_parts(
                (a.real * b.real + a.imag * b.imag) / denom,
                (a.imag * b.real - a.real * b.imag) / denom);
        }
    }
    #endif
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_neg_double(__pyx_t_double_complex a) {
        __pyx_t_double_complex z;
        z.real = -a.real;
        z.imag = -a.imag;
        return z;
    }
    static CYTHON_INLINE int __Pyx_c_is_zero_double(__pyx_t_double_complex a) {
       return (a.real == 0) && (a.imag == 0);
    }
    static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_conj_double(__pyx_t_double_complex a) {
        __pyx_t_double_complex z;
        z.real =  a.real;
        z.imag = -a.imag;
        return z;
    }
    #if 1
        static CYTHON_INLINE double __Pyx_c_abs_double(__pyx_t_double_complex z) {
          #if !defined(HAVE_HYPOT) || defined(_MSC_VER)
            return sqrt(z.real*z.real + z.imag*z.imag);
          #else
            return hypot(z.real, z.imag);
          #endif
        }
        static CYTHON_INLINE __pyx_t_double_complex __Pyx_c_pow_double(__pyx_t_double_complex a, __pyx_t_double_complex b) {
            __pyx_t_double_complex z;
            double r, lnr, theta, z_r, z_theta;
            if (b.imag == 0 && b.real == (int)b.real) {
                if (b.real < 0) {
                    double denom = a.real * a.real + a.imag * a.imag;
                    a.real = a.real / denom;
                    a.imag = -a.imag / denom;
                    b.real = -b.real;
                }
                switch ((int)b.real) {
                    case 0:
                        z.real = 1;
                        z.imag = 0;
                        return z;
                    case 1:
                        return a;
                    case 2:
                        z = __Pyx_c_prod_double(a, a);
                        return __Pyx_c_prod_double(a, a);
                    case 3:
                        z = __Pyx_c_prod_double(a, a);
                        return __Pyx_c_prod_double(z, a);
                    case 4:
                        z = __Pyx_c_prod_double(a, a);
                        return __Pyx_c_prod_double(z, z);
                }
            }
            if (a.imag == 0) {
                if (a.real == 0) {
                    return a;
                } else if (b.imag == 0) {
                    z.real = pow(a.real, b.real);
                    z.imag = 0;
                    return z;
                } else if (a.real > 0) {
                    r = a.real;
                    theta = 0;
                } else {
                    r = -a.real;
                    theta = atan2(0, -1);
                }
            } else {
                r = __Pyx_c_abs_double(a);
                theta = atan2(a.imag, a.real);
            }
            lnr = log(r);
            z_r = exp(lnr * b.real - theta * b.imag);
            z_theta = theta * b.real + lnr * b.imag;
            z.real = z_r * cos(z_theta);
            z.imag = z_r * sin(z_theta);
            return z;
        }
    #endif
#endif

/* CIntToPy */
              static CYTHON_INLINE PyObject* __Pyx_PyInt_From_enum__NPY_TYPES(enum NPY_TYPES value) {
    const enum NPY_TYPES neg_one = (enum NPY_TYPES) -1, const_zero = (enum NPY_TYPES) 0;
    const int is_unsigned = neg_one > const_zero;
    if (is_unsigned) {
        if (sizeof(enum NPY_TYPES) < sizeof(long)) {
            return PyInt_FromLong((long) value);
        } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned long)) {
            return PyLong_FromUnsignedLong((unsigned long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(enum NPY_TYPES) <= sizeof(unsigned PY_LONG_LONG)) {
            return PyLong_FromUnsignedLongLong((unsigned PY_LONG_LONG) value);
#endif
        }
    } else {
        if (sizeof(enum NPY_TYPES) <= sizeof(long)) {
            return PyInt_FromLong((long) value);
#ifdef HAVE_LONG_LONG
        } else if (sizeof(enum NPY_TYPES) <= sizeof(PY_LONG_LONG)) {
            return PyLong_FromLongLong((PY_LONG_LONG) value);
#endif
        }
    }
    {
        int one = 1; int little = (int)*(unsigned char *)&one;
        unsigned char *bytes = (unsigned char *)&value;
        return _PyLong_FromByteArray(bytes, sizeof(enum NPY_TYPES),
                                     little, !is_unsigned);
    }
}

/* CIntFromPy */
              static CYTHON_INLINE int __Pyx_PyInt_As_int(PyObject *x) {
    const int neg_one = (int) -1, const_zero = (int) 0;
    const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
    if (likely(PyInt_Check(x))) {
        if (sizeof(int) < sizeof(long)) {
            __PYX_VERIFY_RETURN_INT(int, long, PyInt_AS_LONG(x))
        } else {
            long val = PyInt_AS_LONG(x);
            if (is_unsigned && unlikely(val < 0)) {
                goto raise_neg_overflow;
            }
            return (int) val;
        }
    } else
#endif
    if (likely(PyLong_Check(x))) {
        if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (int) 0;
                case  1: __PYX_VERIFY_RETURN_INT(int, digit, digits[0])
                case 2:
                    if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) >= 2 * PyLong_SHIFT) {
                            return (int) (((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) >= 3 * PyLong_SHIFT) {
                            return (int) (((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) >= 4 * PyLong_SHIFT) {
                            return (int) (((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0]));
                        }
                    }
                    break;
            }
#endif
#if CYTHON_COMPILING_IN_CPYTHON
            if (unlikely(Py_SIZE(x) < 0)) {
                goto raise_neg_overflow;
            }
#else
            {
                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
                if (unlikely(result < 0))
                    return (int) -1;
                if (unlikely(result == 1))
                    goto raise_neg_overflow;
            }
#endif
            if (sizeof(int) <= sizeof(unsigned long)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(int) <= sizeof(unsigned PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
            }
        } else {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (int) 0;
                case -1: __PYX_VERIFY_RETURN_INT(int, sdigit, (sdigit) (-(sdigit)digits[0]))
                case  1: __PYX_VERIFY_RETURN_INT(int,  digit, +digits[0])
                case -2:
                    if (8 * sizeof(int) - 1 > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
                            return (int) (((int)-1)*(((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case 2:
                    if (8 * sizeof(int) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
                            return (int) ((((((int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case -3:
                    if (8 * sizeof(int) - 1 > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
                            return (int) (((int)-1)*(((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(int) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
                            return (int) ((((((((int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case -4:
                    if (8 * sizeof(int) - 1 > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
                            return (int) (((int)-1)*(((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(int) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(int, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(int) - 1 > 4 * PyLong_SHIFT) {
                            return (int) ((((((((((int)digits[3]) << PyLong_SHIFT) | (int)digits[2]) << PyLong_SHIFT) | (int)digits[1]) << PyLong_SHIFT) | (int)digits[0])));
                        }
                    }
                    break;
            }
#endif
            if (sizeof(int) <= sizeof(long)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(int) <= sizeof(PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(int, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
            }
        }
        {
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
            PyErr_SetString(PyExc_RuntimeError,
                            "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
            int val;
            PyObject *v = __Pyx_PyNumber_IntOrLong(x);
 #if PY_MAJOR_VERSION < 3
            if (likely(v) && !PyLong_Check(v)) {
                PyObject *tmp = v;
                v = PyNumber_Long(tmp);
                Py_DECREF(tmp);
            }
 #endif
            if (likely(v)) {
                int one = 1; int is_little = (int)*(unsigned char *)&one;
                unsigned char *bytes = (unsigned char *)&val;
                int ret = _PyLong_AsByteArray((PyLongObject *)v,
                                              bytes, sizeof(val),
                                              is_little, !is_unsigned);
                Py_DECREF(v);
                if (likely(!ret))
                    return val;
            }
#endif
            return (int) -1;
        }
    } else {
        int val;
        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
        if (!tmp) return (int) -1;
        val = __Pyx_PyInt_As_int(tmp);
        Py_DECREF(tmp);
        return val;
    }
raise_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "value too large to convert to int");
    return (int) -1;
raise_neg_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "can't convert negative value to int");
    return (int) -1;
}

/* CIntFromPy */
              static CYTHON_INLINE long __Pyx_PyInt_As_long(PyObject *x) {
    const long neg_one = (long) -1, const_zero = (long) 0;
    const int is_unsigned = neg_one > const_zero;
#if PY_MAJOR_VERSION < 3
    if (likely(PyInt_Check(x))) {
        if (sizeof(long) < sizeof(long)) {
            __PYX_VERIFY_RETURN_INT(long, long, PyInt_AS_LONG(x))
        } else {
            long val = PyInt_AS_LONG(x);
            if (is_unsigned && unlikely(val < 0)) {
                goto raise_neg_overflow;
            }
            return (long) val;
        }
    } else
#endif
    if (likely(PyLong_Check(x))) {
        if (is_unsigned) {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (long) 0;
                case  1: __PYX_VERIFY_RETURN_INT(long, digit, digits[0])
                case 2:
                    if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) >= 2 * PyLong_SHIFT) {
                            return (long) (((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) >= 3 * PyLong_SHIFT) {
                            return (long) (((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) >= 4 * PyLong_SHIFT) {
                            return (long) (((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0]));
                        }
                    }
                    break;
            }
#endif
#if CYTHON_COMPILING_IN_CPYTHON
            if (unlikely(Py_SIZE(x) < 0)) {
                goto raise_neg_overflow;
            }
#else
            {
                int result = PyObject_RichCompareBool(x, Py_False, Py_LT);
                if (unlikely(result < 0))
                    return (long) -1;
                if (unlikely(result == 1))
                    goto raise_neg_overflow;
            }
#endif
            if (sizeof(long) <= sizeof(unsigned long)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, unsigned long, PyLong_AsUnsignedLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(long) <= sizeof(unsigned PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong(x))
#endif
            }
        } else {
#if CYTHON_USE_PYLONG_INTERNALS
            const digit* digits = ((PyLongObject*)x)->ob_digit;
            switch (Py_SIZE(x)) {
                case  0: return (long) 0;
                case -1: __PYX_VERIFY_RETURN_INT(long, sdigit, (sdigit) (-(sdigit)digits[0]))
                case  1: __PYX_VERIFY_RETURN_INT(long,  digit, +digits[0])
                case -2:
                    if (8 * sizeof(long) - 1 > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                            return (long) (((long)-1)*(((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case 2:
                    if (8 * sizeof(long) > 1 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 2 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                            return (long) ((((((long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case -3:
                    if (8 * sizeof(long) - 1 > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                            return (long) (((long)-1)*(((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case 3:
                    if (8 * sizeof(long) > 2 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 3 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                            return (long) ((((((((long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case -4:
                    if (8 * sizeof(long) - 1 > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, long, -(long) (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                            return (long) (((long)-1)*(((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
                case 4:
                    if (8 * sizeof(long) > 3 * PyLong_SHIFT) {
                        if (8 * sizeof(unsigned long) > 4 * PyLong_SHIFT) {
                            __PYX_VERIFY_RETURN_INT(long, unsigned long, (((((((((unsigned long)digits[3]) << PyLong_SHIFT) | (unsigned long)digits[2]) << PyLong_SHIFT) | (unsigned long)digits[1]) << PyLong_SHIFT) | (unsigned long)digits[0])))
                        } else if (8 * sizeof(long) - 1 > 4 * PyLong_SHIFT) {
                            return (long) ((((((((((long)digits[3]) << PyLong_SHIFT) | (long)digits[2]) << PyLong_SHIFT) | (long)digits[1]) << PyLong_SHIFT) | (long)digits[0])));
                        }
                    }
                    break;
            }
#endif
            if (sizeof(long) <= sizeof(long)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, long, PyLong_AsLong(x))
#ifdef HAVE_LONG_LONG
            } else if (sizeof(long) <= sizeof(PY_LONG_LONG)) {
                __PYX_VERIFY_RETURN_INT_EXC(long, PY_LONG_LONG, PyLong_AsLongLong(x))
#endif
            }
        }
        {
#if CYTHON_COMPILING_IN_PYPY && !defined(_PyLong_AsByteArray)
            PyErr_SetString(PyExc_RuntimeError,
                            "_PyLong_AsByteArray() not available in PyPy, cannot convert large numbers");
#else
            long val;
            PyObject *v = __Pyx_PyNumber_IntOrLong(x);
 #if PY_MAJOR_VERSION < 3
            if (likely(v) && !PyLong_Check(v)) {
                PyObject *tmp = v;
                v = PyNumber_Long(tmp);
                Py_DECREF(tmp);
            }
 #endif
            if (likely(v)) {
                int one = 1; int is_little = (int)*(unsigned char *)&one;
                unsigned char *bytes = (unsigned char *)&val;
                int ret = _PyLong_AsByteArray((PyLongObject *)v,
                                              bytes, sizeof(val),
                                              is_little, !is_unsigned);
                Py_DECREF(v);
                if (likely(!ret))
                    return val;
            }
#endif
            return (long) -1;
        }
    } else {
        long val;
        PyObject *tmp = __Pyx_PyNumber_IntOrLong(x);
        if (!tmp) return (long) -1;
        val = __Pyx_PyInt_As_long(tmp);
        Py_DECREF(tmp);
        return val;
    }
raise_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "value too large to convert to long");
    return (long) -1;
raise_neg_overflow:
    PyErr_SetString(PyExc_OverflowError,
        "can't convert negative value to long");
    return (long) -1;
}

/* FastTypeChecks */
              #if CYTHON_COMPILING_IN_CPYTHON
static int __Pyx_InBases(PyTypeObject *a, PyTypeObject *b) {
    while (a) {
        a = a->tp_base;
        if (a == b)
            return 1;
    }
    return b == &PyBaseObject_Type;
}
static CYTHON_INLINE int __Pyx_IsSubtype(PyTypeObject *a, PyTypeObject *b) {
    PyObject *mro;
    if (a == b) return 1;
    mro = a->tp_mro;
    if (likely(mro)) {
        Py_ssize_t i, n;
        n = PyTuple_GET_SIZE(mro);
        for (i = 0; i < n; i++) {
            if (PyTuple_GET_ITEM(mro, i) == (PyObject *)b)
                return 1;
        }
        return 0;
    }
    return __Pyx_InBases(a, b);
}
#if PY_MAJOR_VERSION == 2
static int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject* exc_type2) {
    PyObject *exception, *value, *tb;
    int res;
    __Pyx_PyThreadState_declare
    __Pyx_PyThreadState_assign
    __Pyx_ErrFetch(&exception, &value, &tb);
    res = exc_type1 ? PyObject_IsSubclass(err, exc_type1) : 0;
    if (unlikely(res == -1)) {
        PyErr_WriteUnraisable(err);
        res = 0;
    }
    if (!res) {
        res = PyObject_IsSubclass(err, exc_type2);
        if (unlikely(res == -1)) {
            PyErr_WriteUnraisable(err);
            res = 0;
        }
    }
    __Pyx_ErrRestore(exception, value, tb);
    return res;
}
#else
static CYTHON_INLINE int __Pyx_inner_PyErr_GivenExceptionMatches2(PyObject *err, PyObject* exc_type1, PyObject *exc_type2) {
    int res = exc_type1 ? __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type1) : 0;
    if (!res) {
        res = __Pyx_IsSubtype((PyTypeObject*)err, (PyTypeObject*)exc_type2);
    }
    return res;
}
#endif
static int __Pyx_PyErr_GivenExceptionMatchesTuple(PyObject *exc_type, PyObject *tuple) {
    Py_ssize_t i, n;
    assert(PyExceptionClass_Check(exc_type));
    n = PyTuple_GET_SIZE(tuple);
#if PY_MAJOR_VERSION >= 3
    for (i=0; i<n; i++) {
        if (exc_type == PyTuple_GET_ITEM(tuple, i)) return 1;
    }
#endif
    for (i=0; i<n; i++) {
        PyObject *t = PyTuple_GET_ITEM(tuple, i);
        #if PY_MAJOR_VERSION < 3
        if (likely(exc_type == t)) return 1;
        #endif
        if (likely(PyExceptionClass_Check(t))) {
            if (__Pyx_inner_PyErr_GivenExceptionMatches2(exc_type, NULL, t)) return 1;
        } else {
        }
    }
    return 0;
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches(PyObject *err, PyObject* exc_type) {
    if (likely(err == exc_type)) return 1;
    if (likely(PyExceptionClass_Check(err))) {
        if (likely(PyExceptionClass_Check(exc_type))) {
            return __Pyx_inner_PyErr_GivenExceptionMatches2(err, NULL, exc_type);
        } else if (likely(PyTuple_Check(exc_type))) {
            return __Pyx_PyErr_GivenExceptionMatchesTuple(err, exc_type);
        } else {
        }
    }
    return PyErr_GivenExceptionMatches(err, exc_type);
}
static CYTHON_INLINE int __Pyx_PyErr_GivenExceptionMatches2(PyObject *err, PyObject *exc_type1, PyObject *exc_type2) {
    assert(PyExceptionClass_Check(exc_type1));
    assert(PyExceptionClass_Check(exc_type2));
    if (likely(err == exc_type1 || err == exc_type2)) return 1;
    if (likely(PyExceptionClass_Check(err))) {
        return __Pyx_inner_PyErr_GivenExceptionMatches2(err, exc_type1, exc_type2);
    }
    return (PyErr_GivenExceptionMatches(err, exc_type1) || PyErr_GivenExceptionMatches(err, exc_type2));
}
#endif

/* CheckBinaryVersion */
              static int __Pyx_check_binary_version(void) {
    char ctversion[4], rtversion[4];
    PyOS_snprintf(ctversion, 4, "%d.%d", PY_MAJOR_VERSION, PY_MINOR_VERSION);
    PyOS_snprintf(rtversion, 4, "%s", Py_GetVersion());
    if (ctversion[0] != rtversion[0] || ctversion[2] != rtversion[2]) {
        char message[200];
        PyOS_snprintf(message, sizeof(message),
                      "compiletime version %s of module '%.100s' "
                      "does not match runtime version %s",
                      ctversion, __Pyx_MODULE_NAME, rtversion);
        return PyErr_WarnEx(NULL, message, 1);
    }
    return 0;
}

/* ModuleImport */
              #ifndef __PYX_HAVE_RT_ImportModule
#define __PYX_HAVE_RT_ImportModule
static PyObject *__Pyx_ImportModule(const char *name) {
    PyObject *py_name = 0;
    PyObject *py_module = 0;
    py_name = __Pyx_PyIdentifier_FromString(name);
    if (!py_name)
        goto bad;
    py_module = PyImport_Import(py_name);
    Py_DECREF(py_name);
    return py_module;
bad:
    Py_XDECREF(py_name);
    return 0;
}
#endif

/* TypeImport */
              #ifndef __PYX_HAVE_RT_ImportType
#define __PYX_HAVE_RT_ImportType
static PyTypeObject *__Pyx_ImportType(const char *module_name, const char *class_name,
    size_t size, int strict)
{
    PyObject *py_module = 0;
    PyObject *result = 0;
    PyObject *py_name = 0;
    char warning[200];
    Py_ssize_t basicsize;
#ifdef Py_LIMITED_API
    PyObject *py_basicsize;
#endif
    py_module = __Pyx_ImportModule(module_name);
    if (!py_module)
        goto bad;
    py_name = __Pyx_PyIdentifier_FromString(class_name);
    if (!py_name)
        goto bad;
    result = PyObject_GetAttr(py_module, py_name);
    Py_DECREF(py_name);
    py_name = 0;
    Py_DECREF(py_module);
    py_module = 0;
    if (!result)
        goto bad;
    if (!PyType_Check(result)) {
        PyErr_Format(PyExc_TypeError,
            "%.200s.%.200s is not a type object",
            module_name, class_name);
        goto bad;
    }
#ifndef Py_LIMITED_API
    basicsize = ((PyTypeObject *)result)->tp_basicsize;
#else
    py_basicsize = PyObject_GetAttrString(result, "__basicsize__");
    if (!py_basicsize)
        goto bad;
    basicsize = PyLong_AsSsize_t(py_basicsize);
    Py_DECREF(py_basicsize);
    py_basicsize = 0;
    if (basicsize == (Py_ssize_t)-1 && PyErr_Occurred())
        goto bad;
#endif
    if (!strict && (size_t)basicsize > size) {
        PyOS_snprintf(warning, sizeof(warning),
            "%s.%s size changed, may indicate binary incompatibility. Expected %zd, got %zd",
            module_name, class_name, basicsize, size);
        if (PyErr_WarnEx(NULL, warning, 0) < 0) goto bad;
    }
    else if ((size_t)basicsize != size) {
        PyErr_Format(PyExc_ValueError,
            "%.200s.%.200s has the wrong size, try recompiling. Expected %zd, got %zd",
            module_name, class_name, basicsize, size);
        goto bad;
    }
    return (PyTypeObject *)result;
bad:
    Py_XDECREF(py_module);
    Py_XDECREF(result);
    return NULL;
}
#endif

/* InitStrings */
              static int __Pyx_InitStrings(__Pyx_StringTabEntry *t) {
    while (t->p) {
        #if PY_MAJOR_VERSION < 3
        if (t->is_unicode) {
            *t->p = PyUnicode_DecodeUTF8(t->s, t->n - 1, NULL);
        } else if (t->intern) {
            *t->p = PyString_InternFromString(t->s);
        } else {
            *t->p = PyString_FromStringAndSize(t->s, t->n - 1);
        }
        #else
        if (t->is_unicode | t->is_str) {
            if (t->intern) {
                *t->p = PyUnicode_InternFromString(t->s);
            } else if (t->encoding) {
                *t->p = PyUnicode_Decode(t->s, t->n - 1, t->encoding, NULL);
            } else {
                *t->p = PyUnicode_FromStringAndSize(t->s, t->n - 1);
            }
        } else {
            *t->p = PyBytes_FromStringAndSize(t->s, t->n - 1);
        }
        #endif
        if (!*t->p)
            return -1;
        if (PyObject_Hash(*t->p) == -1)
            return -1;
        ++t;
    }
    return 0;
}

static CYTHON_INLINE PyObject* __Pyx_PyUnicode_FromString(const char* c_str) {
    return __Pyx_PyUnicode_FromStringAndSize(c_str, (Py_ssize_t)strlen(c_str));
}
static CYTHON_INLINE const char* __Pyx_PyObject_AsString(PyObject* o) {
    Py_ssize_t ignore;
    return __Pyx_PyObject_AsStringAndSize(o, &ignore);
}
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
#if !CYTHON_PEP393_ENABLED
static const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
    char* defenc_c;
    PyObject* defenc = _PyUnicode_AsDefaultEncodedString(o, NULL);
    if (!defenc) return NULL;
    defenc_c = PyBytes_AS_STRING(defenc);
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
    {
        char* end = defenc_c + PyBytes_GET_SIZE(defenc);
        char* c;
        for (c = defenc_c; c < end; c++) {
            if ((unsigned char) (*c) >= 128) {
                PyUnicode_AsASCIIString(o);
                return NULL;
            }
        }
    }
#endif
    *length = PyBytes_GET_SIZE(defenc);
    return defenc_c;
}
#else
static CYTHON_INLINE const char* __Pyx_PyUnicode_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
    if (unlikely(__Pyx_PyUnicode_READY(o) == -1)) return NULL;
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
    if (likely(PyUnicode_IS_ASCII(o))) {
        *length = PyUnicode_GET_LENGTH(o);
        return PyUnicode_AsUTF8(o);
    } else {
        PyUnicode_AsASCIIString(o);
        return NULL;
    }
#else
    return PyUnicode_AsUTF8AndSize(o, length);
#endif
}
#endif
#endif
static CYTHON_INLINE const char* __Pyx_PyObject_AsStringAndSize(PyObject* o, Py_ssize_t *length) {
#if __PYX_DEFAULT_STRING_ENCODING_IS_ASCII || __PYX_DEFAULT_STRING_ENCODING_IS_DEFAULT
    if (
#if PY_MAJOR_VERSION < 3 && __PYX_DEFAULT_STRING_ENCODING_IS_ASCII
            __Pyx_sys_getdefaultencoding_not_ascii &&
#endif
            PyUnicode_Check(o)) {
        return __Pyx_PyUnicode_AsStringAndSize(o, length);
    } else
#endif
#if (!CYTHON_COMPILING_IN_PYPY) || (defined(PyByteArray_AS_STRING) && defined(PyByteArray_GET_SIZE))
    if (PyByteArray_Check(o)) {
        *length = PyByteArray_GET_SIZE(o);
        return PyByteArray_AS_STRING(o);
    } else
#endif
    {
        char* result;
        int r = PyBytes_AsStringAndSize(o, &result, length);
        if (unlikely(r < 0)) {
            return NULL;
        } else {
            return result;
        }
    }
}
static CYTHON_INLINE int __Pyx_PyObject_IsTrue(PyObject* x) {
   int is_true = x == Py_True;
   if (is_true | (x == Py_False) | (x == Py_None)) return is_true;
   else return PyObject_IsTrue(x);
}
static PyObject* __Pyx_PyNumber_IntOrLongWrongResultType(PyObject* result, const char* type_name) {
#if PY_MAJOR_VERSION >= 3
    if (PyLong_Check(result)) {
        if (PyErr_WarnFormat(PyExc_DeprecationWarning, 1,
                "__int__ returned non-int (type %.200s).  "
                "The ability to return an instance of a strict subclass of int "
                "is deprecated, and may be removed in a future version of Python.",
                Py_TYPE(result)->tp_name)) {
            Py_DECREF(result);
            return NULL;
        }
        return result;
    }
#endif
    PyErr_Format(PyExc_TypeError,
                 "__%.4s__ returned non-%.4s (type %.200s)",
                 type_name, type_name, Py_TYPE(result)->tp_name);
    Py_DECREF(result);
    return NULL;
}
static CYTHON_INLINE PyObject* __Pyx_PyNumber_IntOrLong(PyObject* x) {
#if CYTHON_USE_TYPE_SLOTS
  PyNumberMethods *m;
#endif
  const char *name = NULL;
  PyObject *res = NULL;
#if PY_MAJOR_VERSION < 3
  if (likely(PyInt_Check(x) || PyLong_Check(x)))
#else
  if (likely(PyLong_Check(x)))
#endif
    return __Pyx_NewRef(x);
#if CYTHON_USE_TYPE_SLOTS
  m = Py_TYPE(x)->tp_as_number;
  #if PY_MAJOR_VERSION < 3
  if (m && m->nb_int) {
    name = "int";
    res = m->nb_int(x);
  }
  else if (m && m->nb_long) {
    name = "long";
    res = m->nb_long(x);
  }
  #else
  if (likely(m && m->nb_int)) {
    name = "int";
    res = m->nb_int(x);
  }
  #endif
#else
  if (!PyBytes_CheckExact(x) && !PyUnicode_CheckExact(x)) {
    res = PyNumber_Int(x);
  }
#endif
  if (likely(res)) {
#if PY_MAJOR_VERSION < 3
    if (unlikely(!PyInt_Check(res) && !PyLong_Check(res))) {
#else
    if (unlikely(!PyLong_CheckExact(res))) {
#endif
        return __Pyx_PyNumber_IntOrLongWrongResultType(res, name);
    }
  }
  else if (!PyErr_Occurred()) {
    PyErr_SetString(PyExc_TypeError,
                    "an integer is required");
  }
  return res;
}
static CYTHON_INLINE Py_ssize_t __Pyx_PyIndex_AsSsize_t(PyObject* b) {
  Py_ssize_t ival;
  PyObject *x;
#if PY_MAJOR_VERSION < 3
  if (likely(PyInt_CheckExact(b))) {
    if (sizeof(Py_ssize_t) >= sizeof(long))
        return PyInt_AS_LONG(b);
    else
        return PyInt_AsSsize_t(x);
  }
#endif
  if (likely(PyLong_CheckExact(b))) {
    #if CYTHON_USE_PYLONG_INTERNALS
    const digit* digits = ((PyLongObject*)b)->ob_digit;
    const Py_ssize_t size = Py_SIZE(b);
    if (likely(__Pyx_sst_abs(size) <= 1)) {
        ival = likely(size) ? digits[0] : 0;
        if (size == -1) ival = -ival;
        return ival;
    } else {
      switch (size) {
         case 2:
           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -2:
           if (8 * sizeof(Py_ssize_t) > 2 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case 3:
           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -3:
           if (8 * sizeof(Py_ssize_t) > 3 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((((size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case 4:
           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
             return (Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
         case -4:
           if (8 * sizeof(Py_ssize_t) > 4 * PyLong_SHIFT) {
             return -(Py_ssize_t) (((((((((size_t)digits[3]) << PyLong_SHIFT) | (size_t)digits[2]) << PyLong_SHIFT) | (size_t)digits[1]) << PyLong_SHIFT) | (size_t)digits[0]));
           }
           break;
      }
    }
    #endif
    return PyLong_AsSsize_t(b);
  }
  x = PyNumber_Index(b);
  if (!x) return -1;
  ival = PyInt_AsSsize_t(x);
  Py_DECREF(x);
  return ival;
}
static CYTHON_INLINE PyObject * __Pyx_PyBool_FromLong(long b) {
  return b ? __Pyx_NewRef(Py_True) : __Pyx_NewRef(Py_False);
}
static CYTHON_INLINE PyObject * __Pyx_PyInt_FromSize_t(size_t ival) {
    return PyInt_FromSize_t(ival);
}


#endif /* Py_PYTHON_H */
