877bdcace6
CUTLASS 1.3 Release - Efficient GEMM kernel targeting Volta Tensor Cores via mma.sync instruction added in CUDA 10.1.
156 lines
5.7 KiB
Plaintext
156 lines
5.7 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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#if defined(CUTLASS_USE_WMMA_API)
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#include "cutlass_unit_test.h"
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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/unit/gemm/gemm_testbed.h"
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#include "tools/test/unit/gemm/run_gemm.h"
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaGemm_16x16x32_f16, wmma_gemm_36x36x16_nn) {
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/*
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this wmmaTraits requires leading dim to be divisible by 4
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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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run_gemm<WmmaGemmTraits>(36, 36, 64);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaGemm_16x16x32_f16, wmma_gemm_36x36x16_nt) {
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/*
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this wmmaTraits requires leading dim to be divisible by 4
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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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run_gemm<WmmaGemmTraits>(36, 36, 64);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaGemm_16x16x32_f16, wmma_gemm_36x36x16_tn) {
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/*
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this wmmaTraits requires leading dim to be divisible by 4
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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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run_gemm<WmmaGemmTraits>(36, 36, 64);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaGemm_16x16x32_f16, wmma_gemm_36x36x16_tt) {
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/*
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this wmmaTraits requires leading dim to be divisible by 4
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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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run_gemm<WmmaGemmTraits>(36, 36, 64);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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#endif
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