262 lines
8.8 KiB
C++
262 lines
8.8 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 TOR (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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/*!
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\file
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\brief The universal GEMM accommodates serial reductions, parallel reductions, batched strided, and
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batched array variants.
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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/device/gemm_universal_base.h"
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////////////////////////////////////////////////////////////////////////////////
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namespace cutlass {
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namespace gemm {
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namespace device {
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/////////////////////////////////////////////////////////////////////////////////////////////////
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namespace detail {
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template <
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typename ElementA_,
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typename LayoutA_,
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ComplexTransform TransformA,
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int AlignmentA,
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typename ElementB_,
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typename LayoutB_,
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ComplexTransform TransformB,
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int AlignmentB,
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typename LayoutC_,
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bool Transpose
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>
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struct MapArguments {
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using ElementA = ElementA_;
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using LayoutA = LayoutA_;
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static ComplexTransform const kTransformA = TransformA;
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static int const kAlignmentA = AlignmentA;
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using ElementB = ElementB_;
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using LayoutB = LayoutB_;
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static ComplexTransform const kTransformB = TransformB;
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static int const kAlignmentB = AlignmentB;
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using LayoutC = LayoutC_;
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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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ComplexTransform TransformA,
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int AlignmentA,
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typename ElementB_,
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typename LayoutB_,
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ComplexTransform TransformB,
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int AlignmentB,
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typename LayoutC_
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>
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struct MapArguments<
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ElementA_,
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LayoutA_,
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TransformA,
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AlignmentA,
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ElementB_,
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LayoutB_,
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TransformB,
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AlignmentB,
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LayoutC_,
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true
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> {
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using ElementA = ElementB_;
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using LayoutA = typename layout::LayoutTranspose<LayoutB_>::type;
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static ComplexTransform const kTransformA = TransformB;
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static int const kAlignmentA = AlignmentB;
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using ElementB = ElementA_;
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using LayoutB = typename layout::LayoutTranspose<LayoutA_>::type;
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static ComplexTransform const kTransformB = TransformA;
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static int const kAlignmentB = AlignmentA;
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using LayoutC = typename layout::LayoutTranspose<LayoutC_>::type;
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};
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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template <typename GemmKernel_>
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class GemmUniversalAdapter {
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public:
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using GemmKernel = GemmKernel_;
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static bool const kInternalTranspose =
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std::is_same<typename GemmKernel::LayoutC, cutlass::layout::RowMajor>::value;
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using ThreadblockShape = typename GemmKernel::Mma::Shape;
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using WarpShape = typename GemmKernel::WarpShape;
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using InstructionShape = typename GemmKernel::InstructionShape;
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// warp-level, arch-level (instruction), math operator
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using WarpMmaOperator = typename GemmKernel::Mma::Policy::Operator;
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using ArchMmaOperator = typename WarpMmaOperator::ArchMmaOperator;
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using MathOperator = typename ArchMmaOperator::Operator;
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// Operator class and arch tag extract bottom-up
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// set it for top-level gemm device-level template
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using OperatorClass = typename WarpMmaOperator::OperatorClass;
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using ArchTag = typename WarpMmaOperator::ArchTag;
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// Type, layout, and complex transform deliberately exchanged with B
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using MapArguments = detail::MapArguments<
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typename GemmKernel::ElementA,
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typename GemmKernel::LayoutA,
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GemmKernel::kTransformA,
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GemmKernel::kAlignmentA,
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typename GemmKernel::ElementB,
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typename GemmKernel::LayoutB,
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GemmKernel::kTransformB,
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GemmKernel::kAlignmentB,
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typename GemmKernel::LayoutC,
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kInternalTranspose
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>;
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using ElementA = typename MapArguments::ElementA;
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using LayoutA = typename MapArguments::LayoutA;
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static ComplexTransform const kTransformA = MapArguments::kTransformA;
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static int const kAlignmentA = GemmKernel::kAlignmentA;
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using ElementB = typename MapArguments::ElementB;
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using LayoutB = typename MapArguments::LayoutB;
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static ComplexTransform const kTransformB = MapArguments::kTransformB;
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static int const kAlignmentB = GemmKernel::kAlignmentB;
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using ElementC = typename GemmKernel::ElementC;
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using LayoutC = typename MapArguments::LayoutC;
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static int const kAlignmentC = GemmKernel::kAlignmentC;
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using TensorRefA = TensorRef<ElementA const, LayoutA>;
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using TensorRefB = TensorRef<ElementB const, LayoutB>;
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using TensorRefC = TensorRef<ElementC const, LayoutC>;
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using TensorRefD = TensorRef<ElementC, LayoutC>;
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using ElementAccumulator = typename GemmKernel::Mma::Policy::Operator::ElementC;
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static int const kStages = GemmKernel::Mma::kStages;
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using EpilogueOutputOp = typename GemmKernel::EpilogueOutputOp;
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using ThreadblockSwizzle = typename GemmKernel::ThreadblockSwizzle;
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using Operator = typename GemmKernel::Operator;
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using UnderlyingOperator = GemmUniversalBase<GemmKernel>;
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using Arguments = typename UnderlyingOperator::Arguments;
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private:
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UnderlyingOperator underlying_operator_;
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public:
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/// Constructs the GEMM.
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GemmUniversalAdapter() { }
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/// Helper to construct a transposed equivalent for the underying GEMM operator
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static Arguments to_underlying_arguments(Arguments const &args) {
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if (kInternalTranspose) {
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return args.transposed_problem();
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}
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else {
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return args;
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}
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}
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/// Determines whether the GEMM can execute the given problem.
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static Status can_implement(Arguments const &args) {
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return UnderlyingOperator::can_implement(to_underlying_arguments(args));
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}
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/// Gets the workspace size
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static size_t get_workspace_size(Arguments const &args) {
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return UnderlyingOperator::get_workspace_size(to_underlying_arguments(args));
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}
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/// Computes the grid shape
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static dim3 get_grid_shape(Arguments const &args) {
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return UnderlyingOperator::get_grid_shape(to_underlying_arguments(args));
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}
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/// Computes the maximum number of active blocks per multiprocessor
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static int maximum_active_blocks(int smem_capacity = -1) {
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return UnderlyingOperator::maximum_active_blocks(smem_capacity);
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}
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/// Initializes GEMM state from arguments.
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Status initialize(Arguments const &args, void *workspace = nullptr, cudaStream_t stream = nullptr) {
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return underlying_operator_.initialize(to_underlying_arguments(args), workspace, stream);
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}
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/// Lightweight update given a subset of arguments
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Status update(Arguments const &args, void *workspace = nullptr) {
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return underlying_operator_.update(to_underlying_arguments(args), workspace);
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}
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/// Runs the kernel using initialized state.
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Status run(cudaStream_t stream = nullptr) {
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return underlying_operator_.run(stream);
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}
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/// Runs the kernel using initialized state.
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Status operator()(cudaStream_t stream = nullptr) {
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return run(stream);
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}
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/// Runs the kernel using initialized state.
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Status operator()(
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Arguments const &args,
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void *workspace = nullptr,
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cudaStream_t stream = nullptr) {
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Status status = initialize(args, workspace, stream);
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if (status == Status::kSuccess) {
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status = run(stream);
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}
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return status;
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}
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};
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/////////////////////////////////////////////////////////////////////////////////////////////////
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} // namespace device
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} // namespace gemm
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} // namespace cutlass
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/////////////////////////////////////////////////////////////////////////////////////////////////
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