/*************************************************************************************************** * Copyright (c) 2017-2019, NVIDIA CORPORATION. All rights reserved. * * Redistribution and use in source and binary forms, with or without modification, are permitted * provided that the following conditions are met: * * Redistributions of source code must retain the above copyright notice, this list of * conditions and the following disclaimer. * * Redistributions in binary form must reproduce the above copyright notice, this list of * conditions and the following disclaimer in the documentation and/or other materials * provided with the distribution. * * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used * to endorse or promote products derived from this software without specific prior written * permission. * * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR * IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND * FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, * BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, * STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. * **************************************************************************************************/ #include "cutlass/wmma_matrix.h" #ifdef CUTLASS_USE_WMMA_API #pragma warning( disable : 4503) //////////////////////////////////////////////////////////////////////////////////////////////////// #include "cutlass/gemm/gemm.h" #include "cutlass/gemm/wmma_gemm_traits.h" #include "tools/test/perf/cutlass_perf_test.h" #include "tools/test/perf/gemm/gemm_profiler.h" #include "tools/test/perf/gemm/cutlass_dispatch.h" #include "tools/test/perf/gemm/gemm_perf_testbed.h" //////////////////////////////////////////////////////////////////////////////////////////////////// template struct WmmaGemmDispatch { typedef cutlass::gemm::Gemm Gemm; typedef typename Gemm::Params Params; /// Indicate warp-level GEMM static bool const kThreadMultiplyAdd = false; #if CUTLASS_ENABLE_CUBLAS static bool const kRunCuBLAS = true; #else static bool const kRunCuBLAS = false; #endif static cutlass::MatrixLayout::Kind const kLayoutA = Traits::kLayoutA; static cutlass::MatrixLayout::Kind const kLayoutB = Traits::kLayoutB; typedef typename Traits::ScalarA ScalarA; typedef typename Traits::ScalarB ScalarB; typedef typename Traits::ScalarC ScalarC; typedef typename Traits::ScalarD ScalarD; typedef typename Traits::Epilogue::Functor::Scalar Scalar; // // Data members // /// Params argument Params params; // // Methods // WmmaGemmDispatch() {} /// Initializes params object WmmaGemmDispatch( int m, int n, int k, Scalar alpha, ScalarA const* d_a, int lda, ScalarB const* d_b, int ldb, Scalar beta, ScalarC const* d_c, int ldc, ScalarD* d_d, int ldd) { params.initialize(m, n, k, alpha, d_a, lda, d_b, ldb, beta, d_c, ldc, d_d, ldd); } WmmaGemmDispatch(int m, int n, int k, Scalar alpha, ScalarA const* d_a, int lda, long long int batch_stride_A, ScalarB const* d_b, int ldb, long long int batch_stride_B, Scalar beta, ScalarC const* d_c, int ldc, long long int batch_stride_C, ScalarD* d_d, int ldd, long long int batch_stride_D, int batch_count) { params.initialize(m, n, k, alpha, d_a, lda, batch_stride_A, d_b, ldb, batch_stride_B, beta, d_c, ldc, batch_stride_C, d_d, ldd, batch_stride_D, batch_count); } /// Initializes params object WmmaGemmDispatch(Params const& _params) : params(_params) {} /// Launches kernel cudaError_t operator()() { return Gemm::launch(params); } }; //////////////////////////////////////////////////////////////////////////////////////////////////// namespace perf { //////////////////////////////////////////////////////////////////////////////////////////////////// template int profile_wmma_gemm_f32(TestbenchOutput &output, TestbenchOptions const &options, Config const &config) { typedef perf::GemmProfiler GemmProfiler; int results = 0; { typedef cutlass::gemm::WmmaGemmTraits WmmaGemmTraits; typedef WmmaGemmDispatch Dispatch; results |= profile_gemm(output, "wmma_gemm_nt", options, config); } { typedef cutlass::gemm::WmmaGemmTraits WmmaGemmTraits; typedef WmmaGemmDispatch Dispatch; results |= profile_gemm(output, "wmma_gemm_nn", options, config); } { typedef cutlass::gemm::WmmaGemmTraits WmmaGemmTraits; typedef WmmaGemmDispatch Dispatch; results |= profile_gemm(output, "wmma_gemm_tn", options, config); } { typedef cutlass::gemm::WmmaGemmTraits WmmaGemmTraits; typedef WmmaGemmDispatch Dispatch; results |= profile_gemm(output, "wmma_gemm_tt", options, config); } return results; } //////////////////////////////////////////////////////////////////////////////////////////////////// template int profile_wmma_gemm_f16( TestbenchOutput &output, TestbenchOptions const &options, Config const &config) { typedef perf::GemmProfiler< cutlass::half_t, cutlass::half_t, cutlass::half_t, cutlass::half_t, cutlass::half_t> GemmProfiler; int results = 0; { typedef cutlass::gemm::WmmaGemmTraits< cutlass::MatrixLayout::kColumnMajor, cutlass::MatrixLayout::kRowMajor, cutlass::Shape<32, 256, 128>, half, half, half, cutlass::gemm::LinearScaling, half, cutlass::Shape<32, 64, 64> > WmmaGemmTraits; typedef WmmaGemmDispatch Dispatch; results |= profile_gemm(output, "wmma_gemm_f16_nt", options, config); } { typedef cutlass::gemm::WmmaGemmTraits< cutlass::MatrixLayout::kColumnMajor, cutlass::MatrixLayout::kColumnMajor, cutlass::Shape<32, 256, 128>, half, half, half, cutlass::gemm::LinearScaling, half, cutlass::Shape<32, 64, 64> > WmmaGemmTraits; typedef WmmaGemmDispatch Dispatch; results |= profile_gemm(output, "wmma_gemm_f16_nn", options, config); } { typedef cutlass::gemm::WmmaGemmTraits< cutlass::MatrixLayout::kRowMajor, cutlass::MatrixLayout::kColumnMajor, cutlass::Shape<32, 256, 128>, half, half, half, cutlass::gemm::LinearScaling, half, cutlass::Shape<32, 64, 64> > WmmaGemmTraits; typedef WmmaGemmDispatch Dispatch; results |= profile_gemm(output, "wmma_gemm_f16_tn", options, config); } { typedef cutlass::gemm::WmmaGemmTraits< cutlass::MatrixLayout::kRowMajor, cutlass::MatrixLayout::kRowMajor, cutlass::Shape<32, 256, 128>, half, half, half, cutlass::gemm::LinearScaling, half, cutlass::Shape<32, 64, 64> > WmmaGemmTraits; typedef WmmaGemmDispatch Dispatch; results |= profile_gemm(output, "wmma_gemm_f16_tt", options, config); } return results; } template int profile_wmma_4_gemm_f16( TestbenchOutput &output, TestbenchOptions const &options, Config const &config) { typedef perf::GemmProfiler< cutlass::half_t, cutlass::half_t, cutlass::half_t, cutlass::half_t, cutlass::half_t> GemmProfiler; int results = 0; // a set of test requires leading dim to be multiple of 4 instead of 8 { typedef cutlass::gemm::WmmaGemmTraits< cutlass::MatrixLayout::kColumnMajor, cutlass::MatrixLayout::kRowMajor, cutlass::Shape<32, 16, 16>, half, half, half, cutlass::gemm::LinearScaling, half, typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp >::Shape, typename cutlass::Shape<16, 16, 16>, 4, /*kScalarsPerLdgA_*/ 4, /*kScalarsPerLdgB_*/ 4, /*KScalarsPerLdsA_*/ 4, /*KScalarsPerLdsB_*/ 4 / sizeof(half), /*kScalarsPerLdgCAndStgD_*/ 4 / sizeof(half), /*kScalarsPerStsD_*/ 4 / sizeof(half) /*kScalarsPerLdsD_*/ > WmmaGemmTraits; typedef WmmaGemmDispatch Dispatch; results |= profile_gemm(output, "wmma_4_gemm_f16_nt", options, config); } { typedef cutlass::gemm::WmmaGemmTraits< cutlass::MatrixLayout::kColumnMajor, cutlass::MatrixLayout::kColumnMajor, cutlass::Shape<32, 16, 16>, half, half, half, cutlass::gemm::LinearScaling, half, typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp >::Shape, typename cutlass::Shape<16, 16, 16>, 4, /*kScalarsPerLdgA_*/ 4, /*kScalarsPerLdgB_*/ 4, /*KScalarsPerLdsA_*/ 4, /*KScalarsPerLdsB_*/ 4 / sizeof(half), /*kScalarsPerLdgCAndStgD_*/ 4 / sizeof(half), /*kScalarsPerStsD_*/ 4 / sizeof(half) /*kScalarsPerLdsD_*/ > WmmaGemmTraits; typedef WmmaGemmDispatch Dispatch; results |= profile_gemm(output, "wmma_4_gemm_f16_nn", options, config); } { typedef cutlass::gemm::WmmaGemmTraits< cutlass::MatrixLayout::kRowMajor, cutlass::MatrixLayout::kColumnMajor, cutlass::Shape<32, 16, 16>, half, half, half, cutlass::gemm::LinearScaling, half, typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp >::Shape, typename cutlass::Shape<16, 16, 16>, 4, /*kScalarsPerLdgA_*/ 4, /*kScalarsPerLdgB_*/ 4, /*KScalarsPerLdsA_*/ 4, /*KScalarsPerLdsB_*/ 4 / sizeof(half), /*kScalarsPerLdgCAndStgD_*/ 4 / sizeof(half), /*kScalarsPerStsD_*/ 4 / sizeof(half) /*kScalarsPerLdsD_*/ > WmmaGemmTraits; typedef WmmaGemmDispatch Dispatch; results |= profile_gemm(output, "wmma_4_gemm_f16_tn", options, config); } { typedef cutlass::gemm::WmmaGemmTraits< cutlass::MatrixLayout::kRowMajor, cutlass::MatrixLayout::kRowMajor, cutlass::Shape<32, 16, 16>, half, half, half, cutlass::gemm::LinearScaling, half, typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp >::Shape, typename cutlass::Shape<16, 16, 16>, 4, /*kScalarsPerLdgA_*/ 4, /*kScalarsPerLdgB_*/ 4, /*KScalarsPerLdsA_*/ 4, /*KScalarsPerLdsB_*/ 4 / sizeof(half), /*kScalarsPerLdgCAndStgD_*/ 4 / sizeof(half), /*kScalarsPerStsD_*/ 4 / sizeof(half) /*kScalarsPerLdsD_*/ > WmmaGemmTraits; typedef WmmaGemmDispatch Dispatch; results |= profile_gemm(output, "wmma_4_gemm_f16_tt", options, config); } return results; } template int profile_wmma_4_fp16_sgemm_fp16( TestbenchOutput &output, TestbenchOptions const &options, Config const &config) { typedef perf::GemmProfiler< cutlass::half_t, cutlass::half_t, cutlass::half_t, float, float> GemmProfiler; int results = 0; // a set of test requires leading dim to be multiple of 4 instead of 8 { typedef float accumu_type; typedef half c_type; typedef cutlass::gemm::WmmaGemmTraits< cutlass::MatrixLayout::kColumnMajor, cutlass::MatrixLayout::kRowMajor, cutlass::Shape<32, 16, 16>, half, half, c_type, cutlass::gemm::LinearScaling, accumu_type, typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp >::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 Dispatch; results |= profile_gemm(output, "wmma_4_fp16_sgemm_fp16_nt", options, config); } { typedef float accumu_type; typedef half c_type; typedef cutlass::gemm::WmmaGemmTraits< cutlass::MatrixLayout::kColumnMajor, cutlass::MatrixLayout::kColumnMajor, cutlass::Shape<32, 16, 16>, half, half, c_type, cutlass::gemm::LinearScaling, accumu_type, typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp >::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 Dispatch; results |= profile_gemm(output, "wmma_4_fp16_sgemm_fp16_nn", options, config); } { typedef float accumu_type; typedef half c_type; typedef cutlass::gemm::WmmaGemmTraits< cutlass::MatrixLayout::kRowMajor, cutlass::MatrixLayout::kColumnMajor, cutlass::Shape<32, 16, 16>, half, half, c_type, cutlass::gemm::LinearScaling, accumu_type, typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp >::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 Dispatch; results |= profile_gemm(output, "wmma_4_fp16_sgemm_fp16_tn", options, config); } { 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, typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp >::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 Dispatch; results |= profile_gemm(output, "wmma_4_fp16_sgemm_fp16_tt", options, config); } return results; } //////////////////////////////////////////////////////////////////////////////////////////////////// struct WmmaGemmRegistrar { WmmaGemmRegistrar() { RegisterGemmProfileFunc(profile_wmma_gemm_f32); RegisterGemmProfileFunc(profile_wmma_gemm_f16); //#ifdef EXHAUSTIVE_PROF RegisterGemmProfileFunc(profile_wmma_4_gemm_f16); //fp32 accum with fp16 input and output RegisterGemmProfileFunc(profile_wmma_4_fp16_sgemm_fp16); //#endif // defined EXHAUSTIVE_PROF } }; volatile WmmaGemmRegistrar _WmmaGemmRegistrar; //////////////////////////////////////////////////////////////////////////////////////////////////// } // namespace perf //////////////////////////////////////////////////////////////////////////////////////////////////// #endif // defined CUTLASS_USE_WMMA_API