237 lines
12 KiB
Plaintext
237 lines
12 KiB
Plaintext
/***************************************************************************************************
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* Copyright (c) 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/wmma_matrix.h"
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#ifdef CUTLASS_USE_SUBBYTE_WMMA
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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/binary_gemm.h"
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaBinaryGemm_32x32x256, wmma_binary_gemm_32x32x256) {
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<256, 32, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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int,
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cutlass::gemm::LinearScaling<int>,
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int,
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cutlass::Shape<256, 32, 32>,
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cutlass::Shape<128, 8, 8>,
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32,
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32>
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WmmaGemmTraits;
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run_binary_gemm<WmmaGemmTraits>(32, 32, 256);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaBinaryGemm_32x32x512, wmma_binary_gemm_32x32x512) {
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<512, 32, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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int,
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cutlass::gemm::LinearScaling<int>,
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int,
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cutlass::Shape<512, 32, 32>,
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cutlass::Shape<128, 8, 8>,
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32,
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32>
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WmmaGemmTraits;
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run_binary_gemm<WmmaGemmTraits>(32, 32, 512);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaBinaryGemm_64x64x256, wmma_binary_gemm_64x64x256) {
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<256, 64, 64>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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int,
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cutlass::gemm::LinearScaling<int>,
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int,
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cutlass::Shape<256, 32, 32>,
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cutlass::Shape<128, 8, 8>,
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32,
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32>
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WmmaGemmTraits;
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run_binary_gemm<WmmaGemmTraits>(64, 64, 256);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaBinaryGemm_64x32x256, wmma_binary_gemm_64x32x256) {
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<256, 32, 64>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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int,
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cutlass::gemm::LinearScaling<int>,
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int,
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cutlass::Shape<256, 32, 32>,
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cutlass::Shape<128, 8, 8>,
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32,
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32>
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WmmaGemmTraits;
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run_binary_gemm<WmmaGemmTraits>(64, 32, 256);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaBinaryGemm_32x64x256, wmma_binary_gemm_32x64x256) {
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<256, 64, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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int,
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cutlass::gemm::LinearScaling<int>,
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int,
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cutlass::Shape<256, 32, 32>,
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cutlass::Shape<128, 8, 8>,
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32,
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32>
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WmmaGemmTraits;
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run_binary_gemm<WmmaGemmTraits>(32, 64, 256);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaBinaryGemm_128x128x256, wmma_binary_gemm_128x128x256) {
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<256, 128, 128>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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int,
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cutlass::gemm::LinearScaling<int>,
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int,
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cutlass::Shape<256, 64, 64>,
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cutlass::Shape<128, 8, 8>,
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128,
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128>
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WmmaGemmTraits;
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run_binary_gemm<WmmaGemmTraits>(128, 128, 256);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaBinaryGemm_128x128x256, wmma_binary_gemm_512x512x256) {
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<256, 128, 128>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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int,
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cutlass::gemm::LinearScaling<int>,
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int,
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cutlass::Shape<256, 64, 64>,
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cutlass::Shape<128, 8, 8>,
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32,
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32>
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WmmaGemmTraits;
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run_binary_gemm<WmmaGemmTraits>(512, 512, 256);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaBinaryGemm_32x32x256, wmma_binary_gemm_32x32x512) {
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<256, 32, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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int,
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cutlass::gemm::LinearScaling<int>,
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int,
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cutlass::Shape<256, 32, 32>,
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cutlass::Shape<128, 8, 8>,
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32,
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32>
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WmmaGemmTraits;
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run_binary_gemm<WmmaGemmTraits>(32, 32, 512);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaBinaryGemm_32x32x1024, wmma_binary_gemm_128x128x1024) {
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<1024, 128, 128>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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int,
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cutlass::gemm::LinearScaling<int>,
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int,
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cutlass::Shape<1024, 32, 32>,
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cutlass::Shape<128, 8, 8>,
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128,
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128>
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WmmaGemmTraits;
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run_binary_gemm<WmmaGemmTraits>(128, 128, 1024);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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TEST(WmmaBinaryGemm_64x32x1024, wmma_binary_gemm_128x128x1024) {
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typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
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cutlass::MatrixLayout::kColumnMajor,
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cutlass::Shape<1024, 128, 128>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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cutlass::Vector<cutlass::bin1_t, 32>,
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int,
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cutlass::gemm::LinearScaling<int>,
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int,
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cutlass::Shape<1024, 32, 64>,
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cutlass::Shape<128, 8, 8>,
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128,
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128>
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WmmaGemmTraits;
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run_binary_gemm<WmmaGemmTraits>(128, 128, 1024);
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}
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////////////////////////////////////////////////////////////////////////////////////////////////////
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#endif // ifdef CUTLASS_USE_SUBBYTE_WMMA
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