8a951b2940
* Enabled convolution with epilogue fusion for Volta Tensor Cores. * Compilation fixes * Disabled testing Volta on Ampere architectures.
271 lines
7.5 KiB
C++
271 lines
7.5 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2017-2021, NVIDIA CORPORATION. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without modification, are permitted
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* provided that the following conditions are met:
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* * Redistributions of source code must retain the above copyright notice, this list of
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* conditions and the following disclaimer.
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* * Redistributions in binary form must reproduce the above copyright notice, this list of
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* conditions and the following disclaimer in the documentation and/or other materials
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* provided with the distribution.
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* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
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* to endorse or promote products derived from this software without specific prior written
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* permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
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* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
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* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
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* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
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* STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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/*! \file
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\brief
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Default kernel-level implicit GEMM convolution definitions for threadblock-scoped epilogue.
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*/
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#pragma once
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#include "cutlass/cutlass.h"
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#include "cutlass/gemm/threadblock/default_mma.h"
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#include "cutlass/gemm/threadblock/threadblock_swizzle.h"
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#include "cutlass/conv/threadblock/threadblock_swizzle.h"
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#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"
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#include "cutlass/epilogue/threadblock/default_epilogue_tensor_op.h"
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#include "cutlass/epilogue/threadblock/default_epilogue_volta_tensor_op.h"
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#include "cutlass/epilogue/threadblock/default_epilogue_with_broadcast.h"
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#include "cutlass/epilogue/threadblock/default_epilogue_with_reduction.h"
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#include "cutlass/conv/convolution.h"
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#include "cutlass/conv/threadblock/conv2d_tile_iterator.h"
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#include "cutlass/conv/threadblock/implicit_gemm_pipelined.h"
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#include "cutlass/conv/threadblock/implicit_gemm_multistage.h"
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#include "cutlass/conv/threadblock/implicit_gemm_fprop_fusion_multistage.h"
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#include "cutlass/conv/threadblock/implicit_gemm_wgrad_fusion_multistage.h"
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#include "cutlass/conv/kernel/implicit_gemm_convolution.h"
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#include "cutlass/conv/kernel/implicit_gemm_convolution_fusion.h"
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#include "cutlass/conv/kernel/implicit_gemm_convolution_strided_dgrad.h"
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/////////////////////////////////////////////////////////////////////////////////////////////////
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namespace cutlass {
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namespace conv {
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namespace kernel {
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/////////////////////////////////////////////////////////////////////////////////////////////////
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namespace detail {
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template <
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typename ArchTag,
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typename Shape,
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typename WarpMmaTensorOp,
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int PartitionsK,
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typename OutputOp
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>
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struct DefaultConvEpilogue {
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using Epilogue = typename epilogue::threadblock::DefaultEpilogueTensorOp<
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Shape,
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WarpMmaTensorOp,
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PartitionsK,
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OutputOp,
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OutputOp::kCount
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>::Epilogue;
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};
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template <
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typename Shape,
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typename WarpMmaTensorOp,
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int PartitionsK,
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typename OutputOp
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>
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struct DefaultConvEpilogue<
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arch::Sm70,
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Shape,
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WarpMmaTensorOp,
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PartitionsK,
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OutputOp
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> {
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using Epilogue = typename epilogue::threadblock::DefaultEpilogueVoltaTensorOp<
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Shape,
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WarpMmaTensorOp,
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PartitionsK,
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OutputOp,
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OutputOp::kCount
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>::Epilogue;
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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template <
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typename ArchTag,
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typename Shape,
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typename WarpMmaTensorOp,
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int PartitionsK,
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typename ElementOutput,
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typename ElementTensor,
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typename ElementVector,
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typename OutputOp,
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int ElementsPerAccess
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>
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struct DefaultConvEpilogueWithBroadcastTensorOp {
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using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithBroadcastTensorOp<
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Shape,
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WarpMmaTensorOp,
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PartitionsK,
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ElementOutput,
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ElementTensor,
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ElementVector,
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OutputOp,
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ElementsPerAccess
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>::Epilogue;
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};
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template <
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typename Shape,
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typename WarpMmaTensorOp,
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int PartitionsK,
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typename ElementOutput,
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typename ElementTensor,
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typename ElementVector,
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typename OutputOp,
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int ElementsPerAccess
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>
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struct DefaultConvEpilogueWithBroadcastTensorOp<
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arch::Sm70,
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Shape,
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WarpMmaTensorOp,
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PartitionsK,
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ElementOutput,
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ElementTensor,
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ElementVector,
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OutputOp,
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ElementsPerAccess
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> {
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using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithBroadcastVoltaTensorOp<
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Shape,
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WarpMmaTensorOp,
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PartitionsK,
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ElementOutput,
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ElementTensor,
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ElementVector,
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OutputOp,
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ElementsPerAccess
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>::Epilogue;
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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template <
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typename ArchTag,
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typename Shape,
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typename WarpMmaTensorOp,
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int PartitionsK,
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typename ElementOutput,
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typename OutputOp,
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typename ReductionOp,
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int ElementsPerAccess
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>
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struct DefaultConvEpilogueWithReductionTensorOp {
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using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithReductionTensorOp<
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Shape,
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WarpMmaTensorOp,
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PartitionsK,
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ElementOutput,
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OutputOp,
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ReductionOp,
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ElementsPerAccess
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>::Epilogue;
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};
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template <
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typename Shape,
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typename WarpMmaTensorOp,
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int PartitionsK,
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typename ElementOutput,
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typename OutputOp,
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typename ReductionOp,
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int ElementsPerAccess
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>
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struct DefaultConvEpilogueWithReductionTensorOp<
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arch::Sm70,
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Shape,
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WarpMmaTensorOp,
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PartitionsK,
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ElementOutput,
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OutputOp,
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ReductionOp,
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ElementsPerAccess
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> {
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using Epilogue = typename epilogue::threadblock::DefaultEpilogueWithReductionVoltaTensorOp<
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Shape,
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WarpMmaTensorOp,
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PartitionsK,
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ElementOutput,
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OutputOp,
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ReductionOp,
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ElementsPerAccess
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>::Epilogue;
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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// Defaults for strided Dgrad
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template <
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typename ArchTag,
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typename Shape,
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typename WarpMmaTensorOp,
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int PartitionsK,
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typename OutputOp
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>
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struct DefaultConvEpilogueStridedDgrad {
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using Epilogue = typename epilogue::threadblock::DefaultEpilogueTensorOpStridedDgrad<
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Shape,
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WarpMmaTensorOp,
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PartitionsK,
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OutputOp,
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OutputOp::kCount
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>::Epilogue;
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};
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template <
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typename Shape,
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typename WarpMmaTensorOp,
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int PartitionsK,
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typename OutputOp
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>
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struct DefaultConvEpilogueStridedDgrad<
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arch::Sm70,
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Shape,
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WarpMmaTensorOp,
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PartitionsK,
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OutputOp
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> {
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using Epilogue = typename epilogue::threadblock::DefaultEpilogueVoltaTensorOpStridedDgrad<
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Shape,
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WarpMmaTensorOp,
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PartitionsK,
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OutputOp,
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OutputOp::kCount
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>::Epilogue;
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};
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} // namespace detail
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/////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace kernel
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} // namespace conv
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} // namespace cutlass
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/////////////////////////////////////////////////////////////////////////////////////////////////
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