877bdcace6
CUTLASS 1.3 Release - Efficient GEMM kernel targeting Volta Tensor Cores via mma.sync instruction added in CUDA 10.1.
580 lines
20 KiB
Plaintext
580 lines
20 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_unit_test.h"
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#include "cutlass/gemm/gemm.h"
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#include "cutlass/gemm/fp16_sgemm_traits.h"
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#include "cutlass/reduction/batched_reduction_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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/*
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for fp16_sgemm_fp16 A, B, C and D are half typed. alpha and beta can be half or float typed.
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Accumulation is float typed.
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1. in batched gemm kernel, Ab and Bb are half typed, and pointing to A and B.
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Cb and Db are float typed, since Db is actually pointing to the workspace memory
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thus is of the same type with accumulation. Cb is generally ignored since beta is zero. alpha is one.
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2. in the reduction kernel. Dr = alpha * Reduction(Ar) + beta * Cr. Ar is float typed and pointing to the same
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workspace memory with Db. Cr is half typed and pointing to C. Dr is half typed and pointing to D.
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ALPHAr is the same with alpha, BETAr is the same with beta.
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*/
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFloat_128x128x8_splits16, sgemm_128x256x512_nn) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 512;
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/*batched sgemm traits*/
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typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<16, 128, 128>,
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half, /*Ab type*/
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half, /*Bb type*/
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float, /*Cb type*/
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float, /*Db type*/
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float /*alpha, beta type*/
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>
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SgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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half, /*Cr type*/
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half, /*Dr type*/
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float, /*alpha, beta type*/
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float, /*accumulation type*/
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splits_count,
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cutlass::Shape<1, 1, 128>,
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cutlass::Shape<1, 1, 64>,
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cutlass::Shape<1, 1, 2> >
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BatchedReductionTraits;
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run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFloat_128x128x8_splits16, sgemm_128x256x512_nt) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 512;
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/*batched sgemm traits*/
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typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<16, 128, 128>,
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half, /*Ab type*/
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half, /*Bb type*/
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float, /*Cb type*/
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float, /*Db type*/
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float /*alpha, beta type*/
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>
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SgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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half, /*Cr type*/
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half, /*Dr type*/
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float, /*alpha, beta type*/
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float, /*accumulation type*/
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splits_count,
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cutlass::Shape<1, 1, 128>,
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cutlass::Shape<1, 1, 64>,
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cutlass::Shape<1, 1, 2> >
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BatchedReductionTraits;
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run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFloat_128x128x8_splits16, sgemm_128x256x512_tn) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 512;
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/*batched sgemm traits*/
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typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<16, 128, 128>,
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half, /*Ab type*/
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half, /*Bb type*/
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float, /*Cb type*/
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float, /*Db type*/
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float /*alpha, beta type*/
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>
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SgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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half, /*Cr type*/
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half, /*Dr type*/
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float, /*alpha, beta type*/
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float, /*accumulation type*/
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splits_count,
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cutlass::Shape<1, 1, 128>,
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cutlass::Shape<1, 1, 64>,
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cutlass::Shape<1, 1, 2> >
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BatchedReductionTraits;
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run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFloat_128x128x8_splits16, sgemm_128x256x512_tt) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 512;
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/*batched sgemm traits*/
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typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<16, 128, 128>,
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half, /*Ab type*/
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half, /*Bb type*/
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float, /*Cb type*/
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float, /*Db type*/
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float /*alpha, beta type*/
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>
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SgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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half, /*Cr type*/
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half, /*Dr type*/
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float, /*alpha, beta type*/
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float, /*accumulation type*/
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splits_count,
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cutlass::Shape<1, 1, 128>,
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cutlass::Shape<1, 1, 64>,
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cutlass::Shape<1, 1, 2> >
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BatchedReductionTraits;
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run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFloat_128x128x8_splits16, sgemm_128x256x500_nn) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 500;
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/*batched sgemm traits*/
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typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<16, 128, 128>,
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half, /*Ab type*/
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half, /*Bb type*/
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float, /*Cb type*/
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float, /*Db type*/
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float /*alpha, beta type*/
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>
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SgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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half, /*Cr type*/
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half, /*Dr type*/
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float, /*alpha, beta type*/
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float, /*accumulation type*/
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splits_count,
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cutlass::Shape<1, 1, 128>,
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cutlass::Shape<1, 1, 64>,
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cutlass::Shape<1, 1, 2> >
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BatchedReductionTraits;
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run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFloat_128x128x8_splits16, sgemm_128x256x500_nt) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 500;
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/*batched sgemm traits*/
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typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<16, 128, 128>,
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half, /*Ab type*/
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half, /*Bb type*/
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float, /*Cb type*/
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float, /*Db type*/
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float /*alpha, beta type*/
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>
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SgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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half, /*Cr type*/
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half, /*Dr type*/
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float, /*alpha, beta type*/
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float, /*accumulation type*/
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splits_count,
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cutlass::Shape<1, 1, 128>,
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cutlass::Shape<1, 1, 64>,
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cutlass::Shape<1, 1, 2> >
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BatchedReductionTraits;
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run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFloat_128x128x8_splits16, sgemm_128x256x500_tn) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 500;
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/*batched sgemm traits*/
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typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<16, 128, 128>,
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half, /*Ab type*/
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half, /*Bb type*/
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float, /*Cb type*/
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float, /*Db type*/
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float /*alpha, beta type*/
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>
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SgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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half, /*Cr type*/
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half, /*Dr type*/
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float, /*alpha, beta type*/
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float, /*accumulation type*/
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splits_count,
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cutlass::Shape<1, 1, 128>,
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cutlass::Shape<1, 1, 64>,
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cutlass::Shape<1, 1, 2> >
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BatchedReductionTraits;
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run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFloat_128x128x8_splits16, sgemm_128x256x500_tt) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 500;
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/*batched sgemm traits*/
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typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<16, 128, 128>,
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half, /*Ab type*/
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half, /*Bb type*/
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float, /*Cb type*/
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float, /*Db type*/
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float /*alpha, beta type*/
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>
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SgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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half, /*Cr type*/
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half, /*Dr type*/
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float, /*alpha, beta type*/
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float, /*accumulation type*/
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splits_count,
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cutlass::Shape<1, 1, 128>,
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cutlass::Shape<1, 1, 64>,
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cutlass::Shape<1, 1, 2> >
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BatchedReductionTraits;
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run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFp16_128x128x8_splits16, sgemm_128x256x512_nn) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 512;
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/*batched sgemm traits*/
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typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<16, 128, 128>,
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half, /*Ab type*/
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half, /*Bb type*/
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float, /*Cb type*/
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float, /*Db type*/
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float /*alpha, beta type*/
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>
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SgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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half, /*Cr type*/
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half, /*Dr type*/
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half, /*alpha, beta type*/
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float, /*accumulation type*/
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splits_count,
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cutlass::Shape<1, 1, 128>,
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cutlass::Shape<1, 1, 64>,
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cutlass::Shape<1, 1, 2> >
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BatchedReductionTraits;
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run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFp16_128x128x8_splits16, sgemm_128x256x512_nt) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 512;
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/*batched sgemm traits*/
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typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<16, 128, 128>,
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half, /*Ab type*/
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half, /*Bb type*/
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float, /*Cb type*/
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float, /*Db type*/
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float /*alpha, beta type*/
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>
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SgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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half, /*Cr type*/
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half, /*Dr type*/
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half, /*alpha, beta type*/
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float, /*accumulation type*/
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splits_count,
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cutlass::Shape<1, 1, 128>,
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cutlass::Shape<1, 1, 64>,
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cutlass::Shape<1, 1, 2> >
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BatchedReductionTraits;
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run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFp16_128x128x8_splits16, sgemm_128x256x512_tn) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 512;
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/*batched sgemm traits*/
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typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<16, 128, 128>,
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half, /*Ab type*/
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half, /*Bb type*/
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float, /*Cb type*/
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float, /*Db type*/
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float /*alpha, beta type*/
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>
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SgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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half, /*Cr type*/
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half, /*Dr type*/
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half, /*alpha, beta type*/
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float, /*accumulation type*/
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splits_count,
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cutlass::Shape<1, 1, 128>,
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cutlass::Shape<1, 1, 64>,
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cutlass::Shape<1, 1, 2> >
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BatchedReductionTraits;
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run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFp16_128x128x8_splits16, sgemm_128x256x512_tt) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 512;
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/*batched sgemm traits*/
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typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<16, 128, 128>,
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half, /*Ab type*/
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half, /*Bb type*/
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float, /*Cb type*/
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float, /*Db type*/
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float /*alpha, beta type*/
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>
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SgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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half, /*Cr type*/
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half, /*Dr type*/
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half, /*alpha, beta type*/
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float, /*accumulation type*/
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splits_count,
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cutlass::Shape<1, 1, 128>,
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cutlass::Shape<1, 1, 64>,
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cutlass::Shape<1, 1, 2> >
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BatchedReductionTraits;
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run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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//k = 500
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFp16_128x128x8_splits16, sgemm_128x256x500_nn) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 500;
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/*batched sgemm traits*/
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typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<16, 128, 128>,
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|
half, /*Ab type*/
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half, /*Bb type*/
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float, /*Cb type*/
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float, /*Db type*/
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float /*alpha, beta type*/
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>
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SgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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half, /*Cr type*/
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half, /*Dr type*/
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half, /*alpha, beta type*/
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float, /*accumulation type*/
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splits_count,
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cutlass::Shape<1, 1, 128>,
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cutlass::Shape<1, 1, 64>,
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cutlass::Shape<1, 1, 2> >
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BatchedReductionTraits;
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|
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run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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}
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|
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////////////////////////////////////////////////////////////////////////////////////////////////////
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|
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TEST(SplitK_fp16_sgemm_fp16_alphabetaFp16_128x128x8_splits16, sgemm_128x256x500_nt) {
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const int splits_count = 16;
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const int m = 128;
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const int n = 256;
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const int k = 500;
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|
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/*batched sgemm traits*/
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|
typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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|
cutlass::MatrixLayout::kRowMajor,
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|
cutlass::Shape<16, 128, 128>,
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|
half, /*Ab type*/
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|
half, /*Bb type*/
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|
float, /*Cb type*/
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|
float, /*Db type*/
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|
float /*alpha, beta type*/
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|
>
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|
SgemmTraits;
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|
/*batched reduction traits*/
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|
typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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|
half, /*Cr type*/
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|
half, /*Dr type*/
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|
half, /*alpha, beta type*/
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|
float, /*accumulation type*/
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|
splits_count,
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|
cutlass::Shape<1, 1, 128>,
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|
cutlass::Shape<1, 1, 64>,
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|
cutlass::Shape<1, 1, 2> >
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|
BatchedReductionTraits;
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|
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|
run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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|
}
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|
////////////////////////////////////////////////////////////////////////////////////////////////////
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|
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|
TEST(SplitK_fp16_sgemm_fp16_alphabetaFp16_128x128x8_splits16, sgemm_128x256x500_tn) {
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|
const int splits_count = 16;
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|
const int m = 128;
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|
const int n = 256;
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|
const int k = 500;
|
|
|
|
/*batched sgemm traits*/
|
|
typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kRowMajor,
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|
cutlass::MatrixLayout::kColumnMajor,
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|
cutlass::Shape<16, 128, 128>,
|
|
half, /*Ab type*/
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|
half, /*Bb type*/
|
|
float, /*Cb type*/
|
|
float, /*Db type*/
|
|
float /*alpha, beta type*/
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|
>
|
|
SgemmTraits;
|
|
/*batched reduction traits*/
|
|
typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
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|
half, /*Cr type*/
|
|
half, /*Dr type*/
|
|
half, /*alpha, beta type*/
|
|
float, /*accumulation type*/
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|
splits_count,
|
|
cutlass::Shape<1, 1, 128>,
|
|
cutlass::Shape<1, 1, 64>,
|
|
cutlass::Shape<1, 1, 2> >
|
|
BatchedReductionTraits;
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|
|
|
run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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|
}
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|
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|
////////////////////////////////////////////////////////////////////////////////////////////////////
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|
|
|
TEST(SplitK_fp16_sgemm_fp16_alphabetaFp16_128x128x8_splits16, sgemm_128x256x500_tt) {
|
|
const int splits_count = 16;
|
|
const int m = 128;
|
|
const int n = 256;
|
|
const int k = 500;
|
|
|
|
/*batched sgemm traits*/
|
|
typedef cutlass::gemm::Fp16SgemmSgemmTraits<cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::Shape<16, 128, 128>,
|
|
half, /*Ab type*/
|
|
half, /*Bb type*/
|
|
float, /*Cb type*/
|
|
float, /*Db type*/
|
|
float /*alpha, beta type*/
|
|
>
|
|
SgemmTraits;
|
|
/*batched reduction traits*/
|
|
typedef cutlass::reduction::BatchedReductionTraits<float, /*Ar type*/
|
|
half, /*Cr type*/
|
|
half, /*Dr type*/
|
|
half, /*alpha, beta type*/
|
|
float, /*accumulation type*/
|
|
splits_count,
|
|
cutlass::Shape<1, 1, 128>,
|
|
cutlass::Shape<1, 1, 64>,
|
|
cutlass::Shape<1, 1, 2> >
|
|
BatchedReductionTraits;
|
|
|
|
run_splitK_gemm<SgemmTraits, BatchedReductionTraits>(m, n, k, 1/*partitionK_multiple*/, 2.0f, 1.0f, true/*use host reference*/);
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|
}
|