Manish GuptaandHaicheng Wu <haichengw@nvidia.com>, Andrew Kerr <akerr@nvidia.com>
6c2f8f2fb8
* cutlass 2.6 update * remove debug prints * cutlass 2.6.1 (minor update) * Updated CHANGELOG. * Minor edit to readme to indicate patch version. * Minor edit to readme. Co-authored-by: Haicheng Wu <haichengw@nvidia.com>, Andrew Kerr <akerr@nvidia.com>
145 lines
6.2 KiB
C++
145 lines
6.2 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 GEMM definitions combine threadblock-scoped matrix multiply-add with
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the appropriate threadblock-scoped epilogue.
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Note, CUTLASS epilogues universally target row-major outputs. Column-major outputs are
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accommodated by exchanging A and B operands and assuming transposed layouts. Partial
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specializations here choose 'device::GemmTransposed' to implement this functionality.
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*/
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#pragma once
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#include "cutlass/cutlass.h"
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#include "cutlass/layout/matrix.h"
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#include "cutlass/numeric_types.h"
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#include "cutlass/arch/wmma.h"
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#include "cutlass/epilogue/threadblock/epilogue.h"
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#include "cutlass/epilogue/thread/linear_combination.h"
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#include "cutlass/gemm/gemm.h"
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#include "cutlass/gemm/kernel/gemm_with_k_reduction.h"
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#include "cutlass/gemm/threadblock/default_mma_with_reduction.h"
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#include "cutlass/gemm/threadblock/default_mma_core_with_reduction.h"
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#include "cutlass/gemm/threadblock/threadblock_swizzle.h"
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#include "cutlass/epilogue/threadblock/default_epilogue_tensor_op.h"
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#include "cutlass/epilogue/threadblock/epilogue_gemm_k_reduction.h"
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#include "cutlass/transform/threadblock/predicated_tile_iterator.h"
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namespace cutlass {
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namespace gemm {
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namespace kernel {
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////////////////////////////////////////////////////////////////////////////////
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template <
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/// Element type for A matrix operand
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typename ElementA,
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/// Layout type for A matrix operand
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typename LayoutA,
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/// Complex elementwise transformation on A operand
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ComplexTransform TransformA,
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/// Access granularity of A matrix in units of elements
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int kAlignmentA,
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/// Element type for B matrix operand
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typename ElementB,
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/// Layout type for B matrix operand
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typename LayoutB,
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/// Complex elementwise transformation on B operand
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ComplexTransform TransformB,
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/// Access granularity of B matrix in units of elements
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int kAlignmentB,
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/// Element type for C and D matrix operands
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typename ElementC,
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/// Layout type for C and D matrix operands
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typename LayoutC,
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/// Element type for internal accumulation
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typename ElementAccumulator,
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/// Operator class tag
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typename OperatorClass,
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///
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bool ReduceKForA_,
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/// Tag indicating architecture to tune for
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typename ArchTag,
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/// Threadblock-level tile size (concept: GemmShape)
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typename ThreadblockShape,
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/// Warp-level tile size (concept: GemmShape)
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typename WarpShape,
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/// Warp-level tile size (concept: GemmShape)
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typename InstructionShape,
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/// Epilogue output operator
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typename EpilogueOutputOp,
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/// Threadblock-level swizzling operator
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typename ThreadblockSwizzle,
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/// Number of stages used in the pipelined mainloop
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int Stages,
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/// Operation performed by GEMM
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typename Operator,
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/// Use zfill or predicate for out-of-bound cp.async
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SharedMemoryClearOption SharedMemoryClear = SharedMemoryClearOption::kNone,
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///
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typename Enable = void>
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struct DefaultGemmWithKReduction {
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static const bool kReduceKForA = (platform::is_same<LayoutC, cutlass::layout::RowMajor>::value) ? ReduceKForA_ : !ReduceKForA_;
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/// Define the threadblock-scoped matrix multiply-accumulate
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using Mma = typename cutlass::gemm::threadblock::DefaultMmaWithReduction<
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ElementA, LayoutA, kAlignmentA, ElementB, LayoutB, kAlignmentB,
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ElementAccumulator, layout::RowMajor, arch::OpClassTensorOp, kReduceKForA, arch::Sm80,
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ThreadblockShape, WarpShape, InstructionShape, Stages,
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Operator, false, SharedMemoryClear>::ThreadblockMma;
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static const int kPartitionsK = ThreadblockShape::kK / WarpShape::kK;
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/// Define the epilogue
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using Epilogue =
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typename cutlass::epilogue::threadblock::DefaultEpilogueTensorOp<
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ThreadblockShape, typename Mma::Operator, kPartitionsK, EpilogueOutputOp,
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EpilogueOutputOp::kCount>::Epilogue;
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/// Define the epilogue
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using EpilogueGemmKReduction =
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typename cutlass::epilogue::threadblock::EpilogueGemmKReduction<
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ElementAccumulator, ElementC, ThreadblockShape, typename Mma::Operator, kReduceKForA>;
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/// Define the kernel-level GEMM operator.
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using GemmKernel = kernel::GemmWithKReduction<Mma, Epilogue, EpilogueGemmKReduction, ThreadblockSwizzle>;
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace kernel
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} // namespace gemm
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} // namespace cutlass
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/////////////////////////////////////////////////////////////////////////////////////////////////
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