# Copyright (c) 2018-     Xilinx, Inc              (Alessandro Pappalardo)
# Copyright (c) 2016-     Facebook, Inc            (Adam Paszke)
# Copyright (c) 2014-     Facebook, Inc            (Soumith Chintala)
# Copyright (c) 2011-2014 Idiap Research Institute (Ronan Collobert)
# Copyright (c) 2012-2014 Deepmind Technologies    (Koray Kavukcuoglu)
# Copyright (c) 2011-2012 NEC Laboratories America (Koray Kavukcuoglu)
# Copyright (c) 2011-2013 NYU                      (Clement Farabet)
# Copyright (c) 2006-2010 NEC Laboratories America (Ronan Collobert, Leon Bottou, Iain Melvin, Jason Weston)
# Copyright (c) 2006      Idiap Research Institute (Samy Bengio)
# Copyright (c) 2001-2004 Idiap Research Institute (Ronan Collobert, Samy Bengio, Johnny Mariethoz)

# All rights reserved.

# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:

# 1. Redistributions of source code must retain the above copyright
#    notice, this list of conditions and the following disclaimer.

# 2. Redistributions in binary form must reproduce the above copyright
#    notice, this list of conditions and the following disclaimer in the
#    documentation and/or other materials provided with the distribution.

# 3. Neither the names of Xilinx, Facebook, Deepmind Technologies, NYU,
#    NEC Laboratories America and IDIAP Research Institute nor the names
#    of its contributors may be used to endorse or promote products derived
#    from this software without specific prior written permission.

# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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from brevitas.core.quant import RescalingIntQuant
from brevitas.core.bit_width import BitWidthParameter
from brevitas.core.function_wrapper import *
from brevitas.inject.enum import FloatToIntImplType


def has_learned_weight_bit_width(module):
    from brevitas.proxy.parameter_quant import WeightQuantProxyFromInjector

    if isinstance(module, WeightQuantProxyFromInjector) \
            and isinstance(module.tensor_quant, RescalingIntQuant) \
            and isinstance(module.tensor_quant.msb_clamp_bit_width_impl,
                           BitWidthParameter):
        return True
    else:
        return False


def has_learned_activation_bit_width(module):
    from brevitas.proxy.runtime_quant import ActQuantProxyFromInjector, FusedActivationQuantProxy

    if isinstance(module, ActQuantProxyFromInjector) \
            and isinstance(module.fused_activation_quant_proxy, FusedActivationQuantProxy) \
            and isinstance(module.fused_activation_quant_proxy.tensor_quant, RescalingIntQuant) \
            and isinstance(module.fused_activation_quant_proxy.tensor_quant.msb_clamp_bit_width_impl,
                           BitWidthParameter):
        return True
    else:
        return False


def float_to_int_impl_to_enum(module):
    if isinstance(module, RoundSte):
        return FloatToIntImplType.ROUND
    elif isinstance(module, RoundToZeroSte):
        return FloatToIntImplType.ROUND_TO_ZERO
    elif isinstance(module, FloorSte):
        return FloatToIntImplType.FLOOR
    elif isinstance(module, CeilSte):
        return FloatToIntImplType.CEIL
    elif isinstance(module, DPURoundSte):
        return DPURoundSte
    else:
        return None