122 lines
4.8 KiB
Plaintext
122 lines
4.8 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 2017-2018, 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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/// \file {nv-internal-release}
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#if (defined(__CUDACC__) && (!defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 750))
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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/bmma_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 BmmaGemmDispatch {
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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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static bool const kRunCuBLAS = false;
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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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//
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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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BmmaGemmDispatch() {}
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/// Initializes params object
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BmmaGemmDispatch(int m, int n, int k, int alpha,
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cutlass::Vector<cutlass::bin1_t, 32> const* d_a, int lda,
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cutlass::Vector<cutlass::bin1_t, 32> const* d_b, int ldb, int beta,
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int const* d_c, int ldc, int* d_d, int ldd) {
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params.initialize(m, n, k * 32, alpha, d_a, lda, d_b, ldb, beta, d_c, ldc, d_d, ldd);
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}
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/// Initializes params object
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BmmaGemmDispatch(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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int profile_bmma_gemm(TestbenchOutput<GemmProblem> &output, TestbenchOptions const &options, Config const &config) {
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typedef perf::GemmProfiler<cutlass::Vector<cutlass::bin1_t, 32>, cutlass::Vector<cutlass::bin1_t, 32>, int, int, int> GemmProfiler;
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int results = 0;
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{
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typedef cutlass::gemm::BmmaGemmTraits<cutlass::Shape<1024, 128, 128>,
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cutlass::Shape<1024, 32, 32>,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor>
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BmmaGemmTraits;
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typedef BmmaGemmDispatch<BmmaGemmTraits> Dispatch;
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results |= profile_gemm<Dispatch, GemmProfiler>(output, "bmma_gemm_tn", options, config);
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}
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return results;
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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struct BmmaGemmRegistrar {
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BmmaGemmRegistrar() { RegisterGemmProfileFunc(profile_bmma_gemm); }
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};
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volatile BmmaGemmRegistrar _BmmaGemmRegistrar;
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} // namespace perf
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#endif // if (defined(__CUDACC__) && (!defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 750)
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