368 lines
12 KiB
Plaintext
368 lines
12 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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#include "cutlass_unit_test.h"
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#include "cutlass/gemm/gemm.h"
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#include "cutlass/gemm/igemm_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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TEST(SplitK_igemm_128x128x32_splits16, igemm_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 igemm traits*/
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typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
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IgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<int,
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int,
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int,
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int,
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int, /*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<IgemmTraits, BatchedReductionTraits>(m, n, k, 2, 1, true /*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_igemm_128x128x32_splits16, igemm_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 igemm traits*/
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typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
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IgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<int,
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int,
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int,
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int,
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int, /*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<IgemmTraits, BatchedReductionTraits>(m, n, k, 2, 1, true /*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_igemm_128x128x32_splits16, igemm_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 igemm traits*/
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typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
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IgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<int,
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int,
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int,
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int,
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int, /*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<IgemmTraits, BatchedReductionTraits>(m, n, k, 2, 1, true /*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_igemm_128x128x32_splits16, igemm_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 igemm traits*/
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typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
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IgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<int,
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int,
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int,
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int,
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int, /*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<IgemmTraits, BatchedReductionTraits>(m, n, k, 2, 1, true /*use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_igemm_128x128x32_splits16, igemm_1024x64x4096_nn) {
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const int splits_count = 16;
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const int m = 1024;
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const int n = 64;
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const int k = 4096;
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/*batched igemm traits*/
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typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
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IgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<int,
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int,
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int,
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int,
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int, /*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<IgemmTraits, BatchedReductionTraits>(m, n, k, 1, 0, false /*not use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_igemm_128x128x32_splits16, igemm_1024x64x4096_nt) {
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const int splits_count = 16;
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const int m = 1024;
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const int n = 64;
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const int k = 4096;
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/*batched igemm traits*/
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typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
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IgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<int,
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int,
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int,
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int,
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int, /*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<IgemmTraits, BatchedReductionTraits>(m, n, k, 1, 0, false /*not use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_igemm_128x128x32_splits16, igemm_1024x64x4096_tn) {
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const int splits_count = 16;
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const int m = 1024;
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const int n = 64;
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const int k = 4096;
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/*batched igemm traits*/
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typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
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IgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<int,
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int,
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int,
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int,
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int, /*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<IgemmTraits, BatchedReductionTraits>(m, n, k, 1, 0, false /*not use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_igemm_128x128x32_splits16, igemm_1024x64x4096_tt) {
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const int splits_count = 16;
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const int m = 1024;
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const int n = 64;
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const int k = 4096;
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/*batched igemm traits*/
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typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<32, 128, 128>, int, cutlass::gemm::LinearScaling<int> >
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IgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<int,
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int,
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int,
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int,
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int, /*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<IgemmTraits, BatchedReductionTraits>(m, n, k, 1, 0, false /*not use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_igemm_128x32x32_splits16, igemm_1024x64x4096_nn) {
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const int splits_count = 16;
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const int m = 1024;
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const int n = 64;
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const int k = 4096;
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/*batched igemm traits*/
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typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<32, 32, 128>, int, cutlass::gemm::LinearScaling<int> >
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IgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<int,
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int,
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int,
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int,
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int, /*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<IgemmTraits, BatchedReductionTraits>(m, n, k, 1, 0, false /*not use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_igemm_128x32x32_splits16, igemm_1024x64x4096_nt) {
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const int splits_count = 16;
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const int m = 1024;
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const int n = 64;
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const int k = 4096;
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/*batched igemm traits*/
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typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kColumnMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<32, 32, 128>, int, cutlass::gemm::LinearScaling<int> >
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IgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<int,
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int,
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int,
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int,
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int, /*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<IgemmTraits, BatchedReductionTraits>(m, n, k, 1, 0, false /*not use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_igemm_128x32x32_splits16, igemm_1024x64x4096_tn) {
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const int splits_count = 16;
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const int m = 1024;
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const int n = 64;
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const int k = 4096;
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/*batched igemm traits*/
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typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<32, 32, 128>, int, cutlass::gemm::LinearScaling<int> >
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IgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<int,
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int,
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int,
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int,
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int, /*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<IgemmTraits, BatchedReductionTraits>(m, n, k, 1, 0, false /*not use host reference*/);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(SplitK_igemm_128x32x32_splits16, igemm_1024x64x4096_tt) {
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const int splits_count = 16;
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const int m = 1024;
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const int n = 64;
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const int k = 4096;
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/*batched igemm traits*/
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typedef cutlass::gemm::IgemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kRowMajor,
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cutlass::Shape<32, 32, 128>, int, cutlass::gemm::LinearScaling<int> >
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IgemmTraits;
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/*batched reduction traits*/
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typedef cutlass::reduction::BatchedReductionTraits<int,
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int,
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int,
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int,
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int, /*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<IgemmTraits, BatchedReductionTraits>(m, n, k, 1, 0, false /*not use host reference*/);
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}
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