8a951b2940
* Enabled convolution with epilogue fusion for Volta Tensor Cores. * Compilation fixes * Disabled testing Volta on Ampere architectures.
125 lines
4.5 KiB
C++
125 lines
4.5 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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Defines a GEMM with Reduction based on an existing UniversalGemm kernel.
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*/
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#pragma once
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#include "cutlass/cutlass.h"
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#include "cutlass/conv/kernel/default_conv2d_fprop.h"
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#include "cutlass/conv/kernel/implicit_gemm_convolution_with_fused_epilogue.h"
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#include "cutlass/epilogue/threadblock/default_epilogue_with_reduction.h"
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#include "cutlass/epilogue/threadblock/epilogue_with_reduction.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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template <
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typename ElementA,
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typename LayoutA,
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typename ElementB,
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typename LayoutB,
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typename ElementC,
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typename LayoutC,
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typename ElementAccumulator,
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typename OperatorClass,
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typename ArchTag,
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typename ThreadblockShape,
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typename WarpShape,
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typename InstructionShape,
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typename EpilogueOutputOp,
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typename EpilogueReductionOp,
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typename ThreadblockSwizzle,
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int Stages,
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typename MathOperatorTag,
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conv::IteratorAlgorithm IteratorAlgorithm = IteratorAlgorithm::kOptimized,
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conv::StrideSupport StrideSupport = StrideSupport::kStrided,
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/// Access granularity of A matrix in units of elements
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int AlignmentA = 128 / cutlass::sizeof_bits<ElementA>::value,
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/// Access granularity of B matrix in units of elements
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int AlignmentB = 128 / cutlass::sizeof_bits<ElementB>::value
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>
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struct DefaultConv2dFpropWithReduction {
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using ImplicitGemmBase = typename DefaultConv2dFprop<
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ElementA, LayoutA,
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ElementB, LayoutB,
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ElementC, LayoutC,
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ElementAccumulator,
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OperatorClass,
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ArchTag,
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ThreadblockShape,
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WarpShape,
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InstructionShape,
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EpilogueOutputOp,
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ThreadblockSwizzle,
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Stages,
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MathOperatorTag,
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IteratorAlgorithm,
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StrideSupport,
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AlignmentA,
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AlignmentB
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>::Kernel;
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// Replace epilogue
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using Epilogue = typename cutlass::conv::kernel::detail::DefaultConvEpilogueWithReductionTensorOp<
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ArchTag,
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typename ImplicitGemmBase::Epilogue::Shape,
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typename ImplicitGemmBase::Epilogue::WarpMmaOperator,
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ImplicitGemmBase::Epilogue::kPartitionsK,
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ElementC,
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EpilogueOutputOp,
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EpilogueReductionOp,
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ImplicitGemmBase::Epilogue::kElementsPerAccess
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>::Epilogue;
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// Define the kernel
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using Kernel = cutlass::conv::kernel::ImplicitGemmConvolutionWithFusedEpilogue<
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typename ImplicitGemmBase::Mma,
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Epilogue,
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ThreadblockSwizzle,
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conv::Operator::kFprop
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>;
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};
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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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