/***************************************************************************************************
 * Copyright (c) 2017 - 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 * SPDX-License-Identifier: BSD-3-Clause
 *
 * 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 name of the copyright holder 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"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
 * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
 * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
 * SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
 * CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
 * OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
 * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 *
 **************************************************************************************************/

/*! \file
    \brief
      Default kernel-level implicit GEMM convolution definitions for threadblock-scoped epilogue.
*/

#pragma once

#include "cutlass/cutlass.h"
#include "cutlass/gemm/threadblock/default_mma.h"
#include "cutlass/gemm/threadblock/threadblock_swizzle.h"
#include "cutlass/conv/threadblock/threadblock_swizzle.h"
#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"
#include "cutlass/epilogue/threadblock/default_epilogue_tensor_op.h"
#include "cutlass/epilogue/threadblock/default_epilogue_volta_tensor_op.h"
#include "cutlass/epilogue/threadblock/default_epilogue_with_broadcast.h"
#include "cutlass/epilogue/threadblock/default_epilogue_with_reduction.h"
#include "cutlass/conv/convolution.h"
#include "cutlass/conv/threadblock/conv2d_tile_iterator.h"
#include "cutlass/conv/threadblock/implicit_gemm_pipelined.h"
#include "cutlass/conv/threadblock/implicit_gemm_multistage.h"
#include "cutlass/conv/threadblock/implicit_gemm_fprop_fusion_multistage.h"
#include "cutlass/conv/threadblock/implicit_gemm_wgrad_fusion_multistage.h"
#include "cutlass/conv/kernel/implicit_gemm_convolution.h"
#include "cutlass/conv/kernel/implicit_gemm_convolution_fusion.h"
#include "cutlass/conv/kernel/implicit_gemm_convolution_strided_dgrad.h"

/////////////////////////////////////////////////////////////////////////////////////////////////

namespace cutlass {
namespace conv {
namespace kernel {

/////////////////////////////////////////////////////////////////////////////////////////////////

namespace detail {

template <
  typename ArchTag,
  typename Shape,
  typename WarpMmaTensorOp,
  int PartitionsK,
  typename OutputOp
>
struct DefaultConvEpilogue {
  using Epilogue = typename epilogue::threadblock::DefaultEpilogueTensorOp<
    Shape,
    WarpMmaTensorOp,
    PartitionsK,
    OutputOp,
    OutputOp::kCount
  >::Epilogue;
};

template <
  typename Shape,
  typename WarpMmaTensorOp,
  int PartitionsK,
  typename OutputOp
>
struct DefaultConvEpilogue<
  arch::Sm70,
  Shape,
  WarpMmaTensorOp,
  PartitionsK,
  OutputOp
> {

  using Epilogue = typename epilogue::threadblock::DefaultEpilogueVoltaTensorOp<
    Shape,
    WarpMmaTensorOp,
    PartitionsK,
    OutputOp,
    OutputOp::kCount
  >::Epilogue;
};

/////////////////////////////////////////////////////////////////////////////////////////////////
template <
  typename ArchTag,
  typename Shape,
  typename WarpMmaSimt,
  typename ElementOutput,
  typename ElementTensor,
  typename ElementVector,
  typename OutputOp,
  int ElementsPerAccess
>
struct DefaultConvEpilogueWithBroadcastSimt {
  using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithBroadcastSimt<
    Shape,
    WarpMmaSimt,
    ElementOutput,
    ElementTensor,
    ElementVector,
    OutputOp,
    ElementsPerAccess
  >::Epilogue;
};

template <
  typename ArchTag,
  typename Shape,
  typename WarpMmaSimt,
  typename ElementOutput,
  typename ElementTensor,
  typename ElementVector,
  typename OutputOp,
  int ElementsPerAccess
>
struct DefaultConvEpilogueWithBroadcastSimtStridedDgrad {
  using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithBroadcastSimtStridedDgrad<
    Shape,
    WarpMmaSimt,
    ElementOutput,
    ElementTensor,
    ElementVector,
    OutputOp,
    ElementsPerAccess
  >::Epilogue;
};

template <
  typename ArchTag,
  typename Shape,
  typename WarpMmaTensorOp,
  int PartitionsK,
  typename ElementOutput,
  typename ElementTensor,
  typename ElementVector,
  typename OutputOp,
  int ElementsPerAccess
>
struct DefaultConvEpilogueWithBroadcastTensorOp {
  using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithBroadcastTensorOp<
    Shape,
    WarpMmaTensorOp,
    PartitionsK,
    ElementOutput,
    ElementTensor,
    ElementVector,
    OutputOp,
    ElementsPerAccess
  >::Epilogue;
};

template <
  typename Shape,
  typename WarpMmaTensorOp,
  int PartitionsK,
  typename ElementOutput,
  typename ElementTensor,
  typename ElementVector,
  typename OutputOp,
  int ElementsPerAccess
>
struct DefaultConvEpilogueWithBroadcastTensorOp<
  arch::Sm70,
  Shape,
  WarpMmaTensorOp,
  PartitionsK,
  ElementOutput,
  ElementTensor,
  ElementVector,
  OutputOp,
  ElementsPerAccess
  > {
  using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithBroadcastVoltaTensorOp<
    Shape,
    WarpMmaTensorOp,
    PartitionsK,
    ElementOutput,
    ElementTensor,
    ElementVector,
    OutputOp,
    ElementsPerAccess
  >::Epilogue;
};

/////////////////////////////////////////////////////////////////////////////////////////////////

template <
  typename ArchTag,
  typename Shape,
  typename WarpMmaTensorOp,
  int PartitionsK,
  typename ElementOutput,
  typename OutputOp,
  typename ReductionOp,
  int ElementsPerAccess
>
struct DefaultConvEpilogueWithReductionTensorOp {
  using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithReductionTensorOp<
    Shape,
    WarpMmaTensorOp,
    PartitionsK,
    ElementOutput,
    OutputOp,
    ReductionOp,
    ElementsPerAccess
  >::Epilogue;
};

template <
  typename Shape,
  typename WarpMmaTensorOp,
  int PartitionsK,
  typename ElementOutput,
  typename OutputOp,
  typename ReductionOp,
  int ElementsPerAccess
>
struct DefaultConvEpilogueWithReductionTensorOp<
  arch::Sm70,
  Shape,
  WarpMmaTensorOp,
  PartitionsK,
  ElementOutput,
  OutputOp,
  ReductionOp,
  ElementsPerAccess
  > {
  using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithReductionVoltaTensorOp<
    Shape,
    WarpMmaTensorOp,
    PartitionsK,
    ElementOutput,
    OutputOp,
    ReductionOp,
    ElementsPerAccess
  >::Epilogue;
};

/////////////////////////////////////////////////////////////////////////////////////////////////

// Defaults for strided Dgrad
template <
  typename ArchTag,
  typename Shape,
  typename WarpMmaTensorOp,
  int PartitionsK,
  typename OutputOp
>
struct DefaultConvEpilogueStridedDgrad {
  using Epilogue = typename epilogue::threadblock::DefaultEpilogueTensorOpStridedDgrad<
    Shape,
    WarpMmaTensorOp,
    PartitionsK,
    OutputOp,
    OutputOp::kCount
  >::Epilogue;
};

template <
  typename Shape,
  typename WarpMmaTensorOp,
  int PartitionsK,
  typename OutputOp
>
struct DefaultConvEpilogueStridedDgrad<
  arch::Sm70,
  Shape,
  WarpMmaTensorOp,
  PartitionsK,
  OutputOp
> {

  using Epilogue = typename epilogue::threadblock::DefaultEpilogueVoltaTensorOpStridedDgrad<
    Shape,
    WarpMmaTensorOp,
    PartitionsK,
    OutputOp,
    OutputOp::kCount
  >::Epilogue;
};

} // namespace detail

/////////////////////////////////////////////////////////////////////////////////////////////////

} // namespace kernel
} // namespace conv
} // namespace cutlass

/////////////////////////////////////////////////////////////////////////////////////////////////
