/*************************************************************************************************** * 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 "tools/test/perf/cutlass_perf_test.h" #include "tools/test/perf/gemm/gemm_perf_testbed.h" #include "tools/test/perf/gemm/gemm_profiler.h" #include "cutlass/wmma_matrix.h" #ifdef CUTLASS_USE_WMMA_API #ifdef CUTLASS_USE_INT_WMMA #pragma warning( disable : 4503) #include "cutlass/gemm/gemm.h" #include "cutlass/gemm/wmma_gemm_traits.h" #include "tools/test/perf/gemm/cutlass_dispatch.h" //////////////////////////////////////////////////////////////////////////////////////////////////// template struct WmmaIntegerGemmDispatch { typedef cutlass::gemm::Gemm Gemm; typedef typename Gemm::Params Params; /// Indicate warp-level GEMM static bool const kThreadMultiplyAdd = false; static bool const kRunCuBLAS = false; static cutlass::MatrixLayout::Kind const kLayoutA = Traits::kLayoutA; static cutlass::MatrixLayout::Kind const kLayoutB = Traits::kLayoutB; // // Data members // /// Params argument Params params; // // Methods // WmmaIntegerGemmDispatch() {} /// Initializes params object WmmaIntegerGemmDispatch(int m, int n, int k, int alpha, ScalarA const* d_a, int lda, ScalarB const* d_b, int ldb, int beta, int const* d_c, int ldc, int* d_d, int ldd) { params.initialize(m, n, k, alpha, d_a, lda, d_b, ldb, beta, d_c, ldc, d_d, ldd); } /// WmmaIntegerGemmDispatch(int m, int n, int k, int 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, int beta, int const* d_c, int ldc, long long int batch_stride_c, int* d_d, int ldd, long long int batch_stride_d, int batch_count) { assert(0); } /// Initializes params object WmmaIntegerGemmDispatch(Params const& _params) : params(_params) {} /// Launches kernel cudaError_t operator()() { return Gemm::launch(params); } }; //////////////////////////////////////////////////////////////////////////////////////////////////// #ifdef CUTLASS_USE_SUBBYTE_WMMA template struct WmmaIntegerGemmDispatch, cutlass::Vector > { typedef typename cutlass::Vector ScalarA; typedef typename cutlass::Vector ScalarB; typedef cutlass::gemm::Gemm Gemm; typedef typename Gemm::Params Params; /// Indicate warp-level GEMM static bool const kThreadMultiplyAdd = false; static bool const kRunCuBLAS = false; static cutlass::MatrixLayout::Kind const kLayoutA = Traits::kLayoutA; static cutlass::MatrixLayout::Kind const kLayoutB = Traits::kLayoutB; // // Data members // /// Params argument Params params; // // Methods // WmmaIntegerGemmDispatch() {} /// Initializes params object WmmaIntegerGemmDispatch(int m, int n, int k, int alpha, ScalarA const* d_a, int lda, ScalarB const* d_b, int ldb, int beta, int const* d_c, int ldc, int* d_d, int ldd) { params.initialize(m, n, k * 8, alpha, d_a, lda, d_b, ldb, beta, d_c, ldc, d_d, ldd); } /// WmmaIntegerGemmDispatch(int m, int n, int k, int 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, int beta, int const* d_c, int ldc, long long int batch_stride_c, int* d_d, int ldd, long long int batch_stride_d, int batch_count) { assert(0); } /// Initializes params object WmmaIntegerGemmDispatch(Params const& _params) : params(_params) {} /// Launches kernel cudaError_t operator()() { return Gemm::launch(params); } }; //////////////////////////////////////////////////////////////////////////////////////////////////// template struct WmmaIntegerGemmDispatch, cutlass::Vector > { typedef typename cutlass::Vector ScalarA; typedef typename cutlass::Vector ScalarB; typedef cutlass::gemm::Gemm Gemm; typedef typename Gemm::Params Params; /// Indicate warp-level GEMM static bool const kThreadMultiplyAdd = false; static bool const kRunCuBLAS = false; static cutlass::MatrixLayout::Kind const kLayoutA = Traits::kLayoutA; static cutlass::MatrixLayout::Kind const kLayoutB = Traits::kLayoutB; // // Data members // /// Params argument Params params; // // Methods // WmmaIntegerGemmDispatch() {} /// Initializes params object WmmaIntegerGemmDispatch(int m, int n, int k, int alpha, ScalarA const* d_a, int lda, ScalarB const* d_b, int ldb, int beta, int const* d_c, int ldc, int* d_d, int ldd) { params.initialize(m, n, k * 8, alpha, d_a, lda, d_b, ldb, beta, d_c, ldc, d_d, ldd); } /// WmmaIntegerGemmDispatch(int m, int n, int k, int 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, int beta, int const* d_c, int ldc, long long int batch_stride_c, int* d_d, int ldd, long long int batch_stride_d, int batch_count) { assert(0); } /// Initializes params object WmmaIntegerGemmDispatch(Params const& _params) : params(_params) {} /// Launches kernel cudaError_t operator()() { return Gemm::launch(params); } }; #endif //ifdef CUTLASS_USE_SUBBYTE_WMMA //////////////////////////////////////////////////////////////////////////////////////////////////// namespace perf { //////////////////////////////////////////////////////////////////////////////////////////////////// int profile_wmma_integer_gemm(TestbenchOutput &output, TestbenchOptions const &options, Config const &config) { int results = 0; // compute capability check if (!options.compute_capability(7, 2)) { return 0; } { typedef cutlass::gemm::WmmaGemmTraits, signed char, signed char, int, cutlass::gemm::LinearScaling, int, cutlass::Shape<128, 32, 32>, cutlass::Shape<16, 16, 16>, 16, 16> WmmaGemmTraits; typedef WmmaIntegerGemmDispatch Dispatch; typedef perf::GemmProfiler GemmProfiler; results |= profile_gemm(output, "wmma_integer_gemm_s8_16x16x16_nn", options, config); } { typedef cutlass::gemm::WmmaGemmTraits, signed char, signed char, int, cutlass::gemm::LinearScaling, int, cutlass::Shape<128, 32, 32>, cutlass::Shape<16, 16, 16>, 16, 16> WmmaGemmTraits; typedef WmmaIntegerGemmDispatch Dispatch; typedef perf::GemmProfiler GemmProfiler; results |= profile_gemm(output, "wmma_integer_gemm_s8_16x16x16_nt", options, config); } { typedef cutlass::gemm::WmmaGemmTraits, signed char, signed char, int, cutlass::gemm::LinearScaling, int, cutlass::Shape<128, 32, 32>, cutlass::Shape<16, 16, 16>, 16, 16> WmmaGemmTraits; typedef WmmaIntegerGemmDispatch Dispatch; typedef perf::GemmProfiler GemmProfiler; results |= profile_gemm(output, "wmma_integer_gemm_s8_16x16x16_tn", options, config); } { typedef cutlass::gemm::WmmaGemmTraits, signed char, signed char, int, cutlass::gemm::LinearScaling, int, cutlass::Shape<128, 32, 32>, cutlass::Shape<16, 16, 16>, 16, 16> WmmaGemmTraits; typedef WmmaIntegerGemmDispatch Dispatch; typedef perf::GemmProfiler GemmProfiler; results |= profile_gemm(output, "wmma_integer_gemm_s8_16x16x16_tt", options, config); } { typedef cutlass::gemm::WmmaGemmTraits, unsigned char, unsigned char, int, cutlass::gemm::LinearScaling, int, cutlass::Shape<128, 32, 32>, cutlass::Shape<16, 16, 16>, 16, 16> WmmaGemmTraits; typedef WmmaIntegerGemmDispatch Dispatch; typedef perf::GemmProfiler GemmProfiler; results |= profile_gemm(output, "wmma_integer_gemm_u8_16x16x16_nn", options, config); } { typedef cutlass::gemm::WmmaGemmTraits, unsigned char, unsigned char, int, cutlass::gemm::LinearScaling, int, cutlass::Shape<128, 32, 32>, cutlass::Shape<16, 16, 16>, 16, 16> WmmaGemmTraits; typedef WmmaIntegerGemmDispatch Dispatch; typedef perf::GemmProfiler GemmProfiler; results |= profile_gemm(output, "wmma_integer_gemm_u8_16x16x16_nt", options, config); } { typedef cutlass::gemm::WmmaGemmTraits, unsigned char, unsigned char, int, cutlass::gemm::LinearScaling, int, cutlass::Shape<128, 32, 32>, cutlass::Shape<16, 16, 16>, 16, 16> WmmaGemmTraits; typedef WmmaIntegerGemmDispatch Dispatch; typedef perf::GemmProfiler GemmProfiler; results |= profile_gemm(output, "wmma_integer_gemm_u8_16x16x16_tn", options, config); } { typedef cutlass::gemm::WmmaGemmTraits, unsigned char, unsigned char, int, cutlass::gemm::LinearScaling, int, cutlass::Shape<128, 32, 32>, cutlass::Shape<16, 16, 16>, 16, 16> WmmaGemmTraits; typedef WmmaIntegerGemmDispatch Dispatch; typedef perf::GemmProfiler GemmProfiler; results |= profile_gemm(output, "wmma_integer_gemm_u8_16x16x16_tt", options, config); } // compute capability check if (!options.compute_capability_exact(7, 5)) { return 0; } #ifdef CUTLASS_USE_SUBBYTE_WMMA { typedef cutlass::gemm::WmmaGemmTraits, cutlass::Vector, cutlass::Vector, int, cutlass::gemm::LinearScaling, int, cutlass::Shape<256, 32, 32>, cutlass::Shape<32, 8, 8>, 32, 32> WmmaGemmTraits; typedef WmmaIntegerGemmDispatch, cutlass::Vector > Dispatch; typedef perf::GemmProfiler, cutlass::Vector, int, int, int> GemmProfiler; results |= profile_gemm(output, "wmma_integer_gemm_s4_tn", options, config); } { typedef cutlass::gemm::WmmaGemmTraits, cutlass::Vector, cutlass::Vector, int, cutlass::gemm::LinearScaling, int, cutlass::Shape<256, 32, 32>, cutlass::Shape<32, 8, 8>, 32, 32> WmmaGemmTraits; typedef WmmaIntegerGemmDispatch, cutlass::Vector > Dispatch; typedef perf::GemmProfiler, cutlass::Vector, int, int, int> GemmProfiler; results |= profile_gemm(output, "wmma_integer_gemm_u4_tn", options, config); } #endif //ifdef CUTLASS_USE_SUBBYTE_WMMA return results; } //////////////////////////////////////////////////////////////////////////////////////////////////// } // namespace perf //////////////////////////////////////////////////////////////////////////////////////////////////// #else // ! CUTLASS_USE_INT_WMMA namespace perf { int profile_wmma_integer_gemm(TestbenchOutput &output, TestbenchOptions const &options, Config const &config) { return 0; } } #endif struct WmmaIntegerGemmRegistrar { WmmaIntegerGemmRegistrar() { perf::RegisterGemmProfileFunc(perf::profile_wmma_integer_gemm); } }; volatile WmmaIntegerGemmRegistrar _WmmaIntegerGemmRegistrar; #endif // ifdef CUTLASS_USE_WMMA_API