
CUTLASS 1.3 Release - Efficient GEMM kernel targeting Volta Tensor Cores via mma.sync instruction added in CUDA 10.1.
571 lines
17 KiB
Plaintext
571 lines
17 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 2017-2019, 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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#include "cutlass/wmma_matrix.h"
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#ifdef CUTLASS_USE_WMMA_API
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#pragma warning( disable : 4503)
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////////////////////////////////////////////////////////////////////////////////////////////////////
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#include "cutlass/gemm/gemm.h"
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#include "cutlass/gemm/wmma_gemm_traits.h"
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#include "tools/test/perf/cutlass_perf_test.h"
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#include "tools/test/perf/gemm/gemm_profiler.h"
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#include "tools/test/perf/gemm/cutlass_dispatch.h"
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#include "tools/test/perf/gemm/gemm_perf_testbed.h"
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////////////////////////////////////////////////////////////////////////////////////////////////////
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template <typename Traits>
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struct WmmaGemmDispatch {
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typedef cutlass::gemm::Gemm<Traits> Gemm;
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typedef typename Gemm::Params Params;
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/// Indicate warp-level GEMM
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static bool const kThreadMultiplyAdd = false;
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#if CUTLASS_ENABLE_CUBLAS
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static bool const kRunCuBLAS = true;
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#else
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static bool const kRunCuBLAS = false;
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#endif
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static cutlass::MatrixLayout::Kind const kLayoutA = Traits::kLayoutA;
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static cutlass::MatrixLayout::Kind const kLayoutB = Traits::kLayoutB;
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typedef typename Traits::ScalarA ScalarA;
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typedef typename Traits::ScalarB ScalarB;
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typedef typename Traits::ScalarC ScalarC;
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typedef typename Traits::ScalarD ScalarD;
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typedef typename Traits::Epilogue::Functor::Scalar Scalar;
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//
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// Data members
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//
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/// Params argument
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Params params;
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//
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// Methods
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//
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WmmaGemmDispatch() {}
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/// Initializes params object
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WmmaGemmDispatch(
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int m,
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int n,
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int k,
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Scalar alpha,
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ScalarA const* d_a,
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int lda,
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ScalarB const* d_b,
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int ldb,
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Scalar beta,
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ScalarC const* d_c,
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int ldc,
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ScalarD* d_d,
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int ldd) {
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params.initialize(m, n, k, alpha, d_a, lda, d_b, ldb, beta, d_c, ldc, d_d, ldd);
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}
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WmmaGemmDispatch(int m,
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int n,
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int k,
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Scalar alpha,
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ScalarA const* d_a,
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int lda,
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long long int batch_stride_A,
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ScalarB const* d_b,
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int ldb,
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long long int batch_stride_B,
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Scalar beta,
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ScalarC const* d_c,
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int ldc,
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long long int batch_stride_C,
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ScalarD* d_d,
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int ldd,
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long long int batch_stride_D,
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int batch_count) {
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params.initialize(m, n, k, alpha, d_a, lda, batch_stride_A,
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d_b, ldb, batch_stride_B,
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beta, d_c, ldc, batch_stride_C,
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d_d, ldd, batch_stride_D,
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batch_count);
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}
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/// Initializes params object
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WmmaGemmDispatch(Params const& _params) : params(_params) {}
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/// Launches kernel
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cudaError_t operator()() { return Gemm::launch(params); }
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};
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////////////////////////////////////////////////////////////////////////////////////////////////////
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namespace perf {
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////////////////////////////////////////////////////////////////////////////////////////////////////
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template <typename DummyT>
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int profile_wmma_gemm_f32(TestbenchOutput<GemmProblem> &output, TestbenchOptions const &options, Config const &config) {
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typedef perf::GemmProfiler<cutlass::half_t, cutlass::half_t, float, float, float> GemmProfiler;
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int results = 0;
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{
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kRowMajor>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_nt", options, config);
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}
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{
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kColumnMajor>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_nn", options, config);
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}
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{
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_tn", options, config);
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}
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{
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kRowMajor>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_tt", options, config);
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}
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return results;
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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template <typename DummyT>
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int profile_wmma_gemm_f16(
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TestbenchOutput<GemmProblem> &output,
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TestbenchOptions const &options,
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Config const &config) {
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typedef perf::GemmProfiler<
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cutlass::half_t,
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cutlass::half_t,
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cutlass::half_t,
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cutlass::half_t,
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cutlass::half_t> GemmProfiler;
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int results = 0;
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{
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typedef cutlass::gemm::WmmaGemmTraits<
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<32, 256, 128>,
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half,
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half,
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half,
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cutlass::gemm::LinearScaling<half>,
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half,
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cutlass::Shape<32, 64, 64>
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>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_f16_nt", options, config);
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}
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{
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typedef cutlass::gemm::WmmaGemmTraits<
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<32, 256, 128>,
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half,
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half,
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half,
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cutlass::gemm::LinearScaling<half>,
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half,
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cutlass::Shape<32, 64, 64>
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>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_f16_nn", options, config);
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}
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{
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typedef cutlass::gemm::WmmaGemmTraits<
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cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<32, 256, 128>,
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half,
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half,
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half,
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cutlass::gemm::LinearScaling<half>,
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half,
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cutlass::Shape<32, 64, 64>
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>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_f16_tn", options, config);
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}
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{
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typedef cutlass::gemm::WmmaGemmTraits<
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cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<32, 256, 128>,
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half,
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half,
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half,
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cutlass::gemm::LinearScaling<half>,
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half,
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cutlass::Shape<32, 64, 64>
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>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_f16_tt", options, config);
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}
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return results;
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}
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template <typename DummyT>
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int profile_wmma_4_gemm_f16(
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TestbenchOutput<GemmProblem> &output,
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TestbenchOptions const &options,
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Config const &config) {
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typedef perf::GemmProfiler<
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cutlass::half_t,
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cutlass::half_t,
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cutlass::half_t,
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cutlass::half_t,
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cutlass::half_t> GemmProfiler;
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int results = 0;
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// a set of test requires leading dim to be multiple of 4 instead of 8
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{
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typedef cutlass::gemm::WmmaGemmTraits<
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<32, 16, 16>,
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half,
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half,
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half,
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cutlass::gemm::LinearScaling<half>,
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half,
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typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
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typename cutlass::Shape<16, 16, 16>,
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4, /*kScalarsPerLdgA_*/
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4, /*kScalarsPerLdgB_*/
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4, /*KScalarsPerLdsA_*/
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4, /*KScalarsPerLdsB_*/
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4 / sizeof(half), /*kScalarsPerLdgCAndStgD_*/
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4 / sizeof(half), /*kScalarsPerStsD_*/
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4 / sizeof(half) /*kScalarsPerLdsD_*/
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>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_gemm_f16_nt", options, config);
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}
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{
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typedef cutlass::gemm::WmmaGemmTraits<
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<32, 16, 16>,
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half,
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half,
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half,
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cutlass::gemm::LinearScaling<half>,
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half,
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typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
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typename cutlass::Shape<16, 16, 16>,
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4, /*kScalarsPerLdgA_*/
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4, /*kScalarsPerLdgB_*/
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4, /*KScalarsPerLdsA_*/
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4, /*KScalarsPerLdsB_*/
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4 / sizeof(half), /*kScalarsPerLdgCAndStgD_*/
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4 / sizeof(half), /*kScalarsPerStsD_*/
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4 / sizeof(half) /*kScalarsPerLdsD_*/
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>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_gemm_f16_nn", options, config);
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}
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{
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typedef cutlass::gemm::WmmaGemmTraits<
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cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<32, 16, 16>,
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half,
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half,
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half,
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cutlass::gemm::LinearScaling<half>,
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half,
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typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
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typename cutlass::Shape<16, 16, 16>,
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4, /*kScalarsPerLdgA_*/
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4, /*kScalarsPerLdgB_*/
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4, /*KScalarsPerLdsA_*/
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4, /*KScalarsPerLdsB_*/
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4 / sizeof(half), /*kScalarsPerLdgCAndStgD_*/
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4 / sizeof(half), /*kScalarsPerStsD_*/
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4 / sizeof(half) /*kScalarsPerLdsD_*/
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>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_gemm_f16_tn", options, config);
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}
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{
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typedef cutlass::gemm::WmmaGemmTraits<
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cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<32, 16, 16>,
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half,
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half,
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half,
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cutlass::gemm::LinearScaling<half>,
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half,
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typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
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typename cutlass::Shape<16, 16, 16>,
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4, /*kScalarsPerLdgA_*/
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4, /*kScalarsPerLdgB_*/
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4, /*KScalarsPerLdsA_*/
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4, /*KScalarsPerLdsB_*/
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4 / sizeof(half), /*kScalarsPerLdgCAndStgD_*/
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4 / sizeof(half), /*kScalarsPerStsD_*/
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4 / sizeof(half) /*kScalarsPerLdsD_*/
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>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_gemm_f16_tt", options, config);
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}
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return results;
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}
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template <typename DummyT>
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int profile_wmma_4_fp16_sgemm_fp16(
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TestbenchOutput<GemmProblem> &output,
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TestbenchOptions const &options,
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Config const &config) {
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typedef perf::GemmProfiler<
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cutlass::half_t,
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cutlass::half_t,
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cutlass::half_t,
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float,
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float> GemmProfiler;
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int results = 0;
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// a set of test requires leading dim to be multiple of 4 instead of 8
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{
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typedef float accumu_type;
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typedef half c_type;
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typedef cutlass::gemm::WmmaGemmTraits<
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<32, 16, 16>,
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half,
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half,
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c_type,
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cutlass::gemm::LinearScaling<accumu_type>,
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accumu_type,
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typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
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typename cutlass::Shape<16, 16, 16>,
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4, /*kScalarsPerLdgA_*/
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4, /*kScalarsPerLdgB_*/
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4, /*KScalarsPerLdsA_*/
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4, /*KScalarsPerLdsB_*/
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8 / sizeof(c_type), /*kScalarsPerLdgCAndStgD_*/
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8 / sizeof(accumu_type), /*kScalarsPerStsD_*/
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8 / sizeof(accumu_type) /*kScalarsPerLdsD_*/
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>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_fp16_sgemm_fp16_nt", options, config);
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}
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{
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typedef float accumu_type;
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typedef half c_type;
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typedef cutlass::gemm::WmmaGemmTraits<
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<32, 16, 16>,
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half,
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half,
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c_type,
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cutlass::gemm::LinearScaling<accumu_type>,
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accumu_type,
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typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
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typename cutlass::Shape<16, 16, 16>,
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4, /*kScalarsPerLdgA_*/
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4, /*kScalarsPerLdgB_*/
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4, /*KScalarsPerLdsA_*/
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4, /*KScalarsPerLdsB_*/
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8 / sizeof(c_type), /*kScalarsPerLdgCAndStgD_*/
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8 / sizeof(accumu_type), /*kScalarsPerStsD_*/
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8 / sizeof(accumu_type) /*kScalarsPerLdsD_*/
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>
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WmmaGemmTraits;
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typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_fp16_sgemm_fp16_nn", options, config);
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}
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{
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typedef float accumu_type;
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typedef half c_type;
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typedef cutlass::gemm::WmmaGemmTraits<
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cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<32, 16, 16>,
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half,
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half,
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c_type,
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cutlass::gemm::LinearScaling<accumu_type>,
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accumu_type,
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typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
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typename cutlass::Shape<16, 16, 16>,
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4, /*kScalarsPerLdgA_*/
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4, /*kScalarsPerLdgB_*/
|
|
4, /*KScalarsPerLdsA_*/
|
|
4, /*KScalarsPerLdsB_*/
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|
8 / sizeof(c_type), /*kScalarsPerLdgCAndStgD_*/
|
|
8 / sizeof(accumu_type), /*kScalarsPerStsD_*/
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|
8 / sizeof(accumu_type) /*kScalarsPerLdsD_*/
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|
>
|
|
WmmaGemmTraits;
|
|
|
|
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
|
|
|
|
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_fp16_sgemm_fp16_tn", options, config);
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|
}
|
|
|
|
{
|
|
typedef float accumu_type;
|
|
typedef half c_type;
|
|
typedef cutlass::gemm::WmmaGemmTraits<
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::Shape<32, 16, 16>,
|
|
half,
|
|
half,
|
|
c_type,
|
|
cutlass::gemm::LinearScaling<accumu_type>,
|
|
accumu_type,
|
|
typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
|
|
typename cutlass::Shape<16, 16, 16>,
|
|
4, /*kScalarsPerLdgA_*/
|
|
4, /*kScalarsPerLdgB_*/
|
|
4, /*KScalarsPerLdsA_*/
|
|
4, /*KScalarsPerLdsB_*/
|
|
8 / sizeof(c_type), /*kScalarsPerLdgCAndStgD_*/
|
|
8 / sizeof(accumu_type), /*kScalarsPerStsD_*/
|
|
8 / sizeof(accumu_type) /*kScalarsPerLdsD_*/
|
|
>
|
|
WmmaGemmTraits;
|
|
|
|
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
|
|
|
|
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_fp16_sgemm_fp16_tt", options, config);
|
|
}
|
|
|
|
return results;
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
struct WmmaGemmRegistrar {
|
|
WmmaGemmRegistrar() {
|
|
RegisterGemmProfileFunc(profile_wmma_gemm_f32<void>);
|
|
RegisterGemmProfileFunc(profile_wmma_gemm_f16<void>);
|
|
|
|
//#ifdef EXHAUSTIVE_PROF
|
|
RegisterGemmProfileFunc(profile_wmma_4_gemm_f16<void>);
|
|
//fp32 accum with fp16 input and output
|
|
RegisterGemmProfileFunc(profile_wmma_4_fp16_sgemm_fp16<void>);
|
|
//#endif // defined EXHAUSTIVE_PROF
|
|
}
|
|
};
|
|
|
|
volatile WmmaGemmRegistrar _WmmaGemmRegistrar;
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
} // namespace perf
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#endif // defined CUTLASS_USE_WMMA_API
|