b78588d163
* CUTLASS 3.7 * clean up changelog --------- Co-authored-by: yuzhai <yuzhai@nvidia.com> Co-authored-by: Haicheng Wu <haichengw@nvidia.com>
310 lines
8.8 KiB
C++
310 lines
8.8 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2024 - 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* 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 Broadcast 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_deconv3d.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_broadcast.h"
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#include "cutlass/epilogue/threadblock/epilogue_with_broadcast.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 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 DefaultDeconv3dWithBroadcast {
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using ImplicitGemmBase = typename DefaultDeconv3d<
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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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>::Kernel;
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// Define epilogue
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using Epilogue = typename cutlass::conv::kernel::detail::DefaultConvEpilogueWithBroadcastTensorOp<
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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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typename EpilogueOutputOp::ElementT,
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typename EpilogueOutputOp::ElementVector,
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EpilogueOutputOp,
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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::kDeconv,
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Conv3dProblemSize
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>;
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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// OpClassSimt convolutions
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/////////////////////////////////////////////////////////////////////////////////////////////////
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/// Defines a kernel for Deconv3d specialization for Analytic IteratorAlgorithm,
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/// multi-stage pipeline, and FFMA-based mainloop for SM80
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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 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 ThreadblockSwizzle,
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int Stages,
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typename MathOperatorTag,
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conv::IteratorAlgorithm IteratorAlgorithm,
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int AlignmentA,
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int AlignmentB
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>
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struct DefaultDeconv3dWithBroadcast <
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ElementA,
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LayoutA,
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ElementB,
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LayoutB,
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ElementC,
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LayoutC,
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ElementAccumulator,
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arch::OpClassSimt,
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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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conv::StrideSupport::kUnity,
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AlignmentA,
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AlignmentB
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> {
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using ImplicitGemmBase = typename DefaultDeconv3d<
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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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arch::OpClassSimt,
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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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conv::StrideSupport::kUnity
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>::Kernel;
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// Define epilogue
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using Epilogue = typename cutlass::conv::kernel::detail::DefaultConvEpilogueWithBroadcastSimt<
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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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ElementC,
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typename EpilogueOutputOp::ElementT,
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typename EpilogueOutputOp::ElementVector,
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EpilogueOutputOp,
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ImplicitGemmBase::Epilogue::kElementsPerAccess,
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layout::NoPermute,
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StrideSupport::kStrided,
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5
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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::kDeconv,
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Conv3dProblemSize
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>;
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};
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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 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 ThreadblockSwizzle,
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int Stages,
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typename MathOperatorTag,
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conv::IteratorAlgorithm IteratorAlgorithm,
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int AlignmentA,
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int AlignmentB
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>
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struct DefaultDeconv3dWithBroadcast <
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ElementA,
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LayoutA,
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ElementB,
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LayoutB,
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ElementC,
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LayoutC,
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ElementAccumulator,
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arch::OpClassSimt,
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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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conv::StrideSupport::kStrided,
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AlignmentA,
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AlignmentB
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> {
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using ImplicitGemmBase = typename DefaultDeconv3d<
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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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arch::OpClassSimt,
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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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conv::StrideSupport::kStrided
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>::Kernel;
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// Define epilogue
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using Epilogue = typename cutlass::conv::kernel::detail::DefaultConvEpilogueWithBroadcastSimt<
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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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ElementC,
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typename EpilogueOutputOp::ElementT,
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typename EpilogueOutputOp::ElementVector,
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EpilogueOutputOp,
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ImplicitGemmBase::Epilogue::kElementsPerAccess,
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layout::NoPermute,
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StrideSupport::kStrided,
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5
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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::kDeconv,
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Conv3dProblemSize
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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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