/*************************************************************************************************** * 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 #include #include "cutlass_unit_test.h" #include "tools/util/half.h" #include "tools/util/host_tensor.h" #include "tools/util/tensor_view_io.h" #include "cutlass/gemm/volta884_gemm_traits.h" #include "cutlass/gemm/gemm.h" #include "tools/test/unit/gemm/gemm_testbed.h" #include "tools/test/unit/gemm/run_gemm.h" #if CUTLASS_ENABLE_TENSOR_CORE_MMA #if !defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 530 //////////////////////////////////////////////////////////////////////////////////////////////////// // // Contiguous - h884gemm // //////////////////////////////////////////////////////////////////////////////////////////////////// //////////////////////////////////////////////////////////////////////////////////////////////////// TEST(Volta884_h884gemm_64x64x32_nt, 520x264x136) { typedef cutlass::gemm::Volta884GemmTraits< cutlass::MatrixLayout::kColumnMajor, cutlass::MatrixLayout::kRowMajor, cutlass::Shape<32, 64, 64>, cutlass::Shape<32, 64, 64>, half, half, half, 2 > GemmTraits; run_gemm(520, 264, 136); } TEST(Volta884_h884gemm_128x64x32_nt, 520x264x136) { typedef cutlass::gemm::Volta884GemmTraits< cutlass::MatrixLayout::kColumnMajor, cutlass::MatrixLayout::kRowMajor, cutlass::Shape<32, 64, 128>, cutlass::Shape<32, 64, 64>, half, half, half, 2 > GemmTraits; run_gemm(520, 264, 136); } TEST(Volta884_h884gemm_64x128x32_nt, 520x264x136) { typedef cutlass::gemm::Volta884GemmTraits< cutlass::MatrixLayout::kColumnMajor, cutlass::MatrixLayout::kRowMajor, cutlass::Shape<32, 128, 64>, cutlass::Shape<32, 64, 64>, half, half, half, 2 > GemmTraits; run_gemm(520, 264, 136); } TEST(Volta884_h884gemm_128x128x32_nt, 520x264x136) { typedef cutlass::gemm::Volta884GemmTraits< cutlass::MatrixLayout::kColumnMajor, cutlass::MatrixLayout::kRowMajor, cutlass::Shape<32, 128, 128>, cutlass::Shape<32, 64, 64>, half, half, half, 2 > GemmTraits; run_gemm(520, 264, 136); } TEST(Volta884_h884gemm_256x128x32_nt, 520x264x136) { typedef cutlass::gemm::Volta884GemmTraits< cutlass::MatrixLayout::kColumnMajor, cutlass::MatrixLayout::kRowMajor, cutlass::Shape<32, 128, 256>, cutlass::Shape<32, 64, 64>, half, half, half, 2 > GemmTraits; run_gemm(520, 264, 136); } TEST(Volta884_h884gemm_128x256x32_nt, 520x264x136) { typedef cutlass::gemm::Volta884GemmTraits< cutlass::MatrixLayout::kColumnMajor, cutlass::MatrixLayout::kRowMajor, cutlass::Shape<32, 256, 128>, cutlass::Shape<32, 64, 64>, half, half, half, 2 > GemmTraits; run_gemm(520, 264, 136); } TEST(Volta884_h884gemm_64x64x32_tn, 520x264x136) { typedef cutlass::gemm::Volta884GemmTraits< cutlass::MatrixLayout::kRowMajor, cutlass::MatrixLayout::kColumnMajor, cutlass::Shape<32, 64, 64>, cutlass::Shape<32, 64, 64>, half, half, half, 2 > GemmTraits; run_gemm(520, 264, 136); } TEST(Volta884_h884gemm_128x64x32_tn, 520x264x136) { typedef cutlass::gemm::Volta884GemmTraits< cutlass::MatrixLayout::kRowMajor, cutlass::MatrixLayout::kColumnMajor, cutlass::Shape<32, 64, 128>, cutlass::Shape<32, 64, 64>, half, half, half, 2 > GemmTraits; run_gemm(520, 264, 136); } TEST(Volta884_h884gemm_64x128x32_tn, 520x264x136) { typedef cutlass::gemm::Volta884GemmTraits< cutlass::MatrixLayout::kRowMajor, cutlass::MatrixLayout::kColumnMajor, cutlass::Shape<32, 128, 64>, cutlass::Shape<32, 64, 64>, half, half, half, 2 > GemmTraits; run_gemm(520, 264, 136); } TEST(Volta884_h884gemm_128x128x32_tn, 520x264x136) { typedef cutlass::gemm::Volta884GemmTraits< cutlass::MatrixLayout::kRowMajor, cutlass::MatrixLayout::kColumnMajor, cutlass::Shape<32, 128, 128>, cutlass::Shape<32, 64, 64>, half, half, half, 2 > GemmTraits; run_gemm(520, 264, 136); } TEST(Volta884_h884gemm_256x128x32_tn, 520x264x136) { typedef cutlass::gemm::Volta884GemmTraits< cutlass::MatrixLayout::kRowMajor, cutlass::MatrixLayout::kColumnMajor, cutlass::Shape<32, 128, 256>, cutlass::Shape<32, 64, 64>, half, half, half, 2 > GemmTraits; run_gemm(520, 264, 136); } TEST(Volta884_h884gemm_128x256x32_tn, 520x264x136) { typedef cutlass::gemm::Volta884GemmTraits< cutlass::MatrixLayout::kRowMajor, cutlass::MatrixLayout::kColumnMajor, cutlass::Shape<32, 256, 128>, cutlass::Shape<32, 64, 64>, half, half, half, 2 > GemmTraits; run_gemm(520, 264, 136); } #endif // #if !defined(__CUDA_ARCH__) || __CUDA_ARCH__ >= 530 #endif // defined(CUTLASS_ENABLE_TENSOR_CORE_MMA)