373 lines
16 KiB
Plaintext
373 lines
16 KiB
Plaintext
/***************************************************************************************************
|
|
* Copyright (c) 2017-2018, NVIDIA CORPORATION. All rights reserved.
|
|
*
|
|
* Redistribution and use in source and binary forms, with or without modification, are permitted
|
|
* provided that the following conditions are met:
|
|
* * Redistributions of source code must retain the above copyright notice, this list of
|
|
* conditions and the following disclaimer.
|
|
* * Redistributions in binary form must reproduce the above copyright notice, this list of
|
|
* conditions and the following disclaimer in the documentation and/or other materials
|
|
* provided with the distribution.
|
|
* * Neither the name of the NVIDIA CORPORATION nor the names of its contributors may be used
|
|
* to endorse or promote products derived from this software without specific prior written
|
|
* permission.
|
|
*
|
|
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR
|
|
* IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND
|
|
* FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL NVIDIA CORPORATION BE LIABLE
|
|
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
|
|
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
|
|
* OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT,
|
|
* STRICT LIABILITY, OR TOR (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
|
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
*
|
|
**************************************************************************************************/
|
|
#include "cutlass/wmma_matrix.h"
|
|
#if defined(CUTLASS_USE_WMMA_API)
|
|
|
|
#include "cutlass_unit_test.h"
|
|
#include "cutlass/gemm/gemm.h"
|
|
#include "cutlass/gemm/wmma_gemm_traits.h"
|
|
#include "tools/test/unit/gemm/gemm_testbed.h"
|
|
#include "tools/test/unit/gemm/run_gemm.h"
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// FP16 accumulation
|
|
//
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_16x16x32_f16, wmma_gemm_16x16x16_nn) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::Shape<32, 16, 16>,
|
|
half,
|
|
half,
|
|
half,
|
|
cutlass::gemm::LinearScaling<half>,
|
|
half
|
|
>
|
|
WmmaGemmTraits;
|
|
|
|
run_gemm<WmmaGemmTraits>(16, 16, 16);
|
|
}
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_16x16x32_f16, wmma_gemm_16x16x32_nn) {
|
|
|
|
typedef cutlass::gemm::WmmaGemmTraits<
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::Shape<32, 16, 16>,
|
|
half,
|
|
half,
|
|
half,
|
|
cutlass::gemm::LinearScaling<half>,
|
|
half
|
|
>
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(16, 16, 32);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_128x128x32_f16, wmma_16x16x16_gemm_256x256x128_nn) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::Shape<32, 128, 128>,
|
|
half,
|
|
half,
|
|
half,
|
|
cutlass::gemm::LinearScaling<half>,
|
|
half
|
|
>
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(256, 256, 128);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// FP32 accumulation
|
|
//
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_16x16x32, wmma_gemm_16x16x16_nt) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::Shape<32, 16, 16> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(16, 16, 16);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_16x16x32, wmma_gemm_16x16x32_nt) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::Shape<32, 16, 16> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(16, 16, 32);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_128x128x32, wmma_16x16x16_gemm_256x256x128_nt) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::Shape<32, 128, 128> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(256, 256, 128);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#if defined(CUDA_VERSION) && CUDA_VERSION >= 9100
|
|
TEST(WmmaGemm_128x128x32, wmma_8x32x16_gemm_256x256x128_nt) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::Shape<32, 128, 128>,
|
|
half,
|
|
half,
|
|
float,
|
|
cutlass::gemm::LinearScaling<float>,
|
|
float,
|
|
cutlass::Shape<32, 64, 64>,
|
|
cutlass::Shape<16, 32, 8> >
|
|
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(256, 256, 128);
|
|
}
|
|
#endif
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#if defined(CUDA_VERSION) && CUDA_VERSION >= 9100
|
|
TEST(WmmaGemm_128x128x32, wmma_32x8x16_gemm_256x256x128_nt) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::Shape<32, 128, 128>,
|
|
half,
|
|
half,
|
|
float,
|
|
cutlass::gemm::LinearScaling<float>,
|
|
float,
|
|
cutlass::Shape<32, 64, 64>,
|
|
cutlass::Shape<16, 8, 32> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(256, 256, 128);
|
|
}
|
|
#endif
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_16x16x32, wmma_gemm_16x16x16_nn) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::Shape<32, 16, 16> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(16, 16, 16);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_16x16x32, wmma_gemm_16x16x32_nn) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::Shape<32, 16, 16> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(16, 16, 32);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_128x128x32, wmma_16x16x16_gemm_256x256x128_nn) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::Shape<32, 128, 128> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(256, 256, 128);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#if defined(CUDA_VERSION) && CUDA_VERSION >= 9100
|
|
TEST(WmmaGemm_128x128x32, wmma_8x32x16_gemm_256x256x128_nn) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::Shape<32, 128, 128>,
|
|
half,
|
|
half,
|
|
float,
|
|
cutlass::gemm::LinearScaling<float>,
|
|
float,
|
|
cutlass::Shape<32, 64, 64>,
|
|
cutlass::Shape<16, 32, 8> >
|
|
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(256, 256, 128);
|
|
}
|
|
#endif
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#if defined(CUDA_VERSION) && CUDA_VERSION >= 9100
|
|
TEST(WmmaGemm_128x128x32, wmma_32x8x16_gemm_256x256x128_nn) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::Shape<32, 128, 128>,
|
|
half,
|
|
half,
|
|
float,
|
|
cutlass::gemm::LinearScaling<float>,
|
|
float,
|
|
cutlass::Shape<32, 64, 64>,
|
|
cutlass::Shape<16, 8, 32> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(256, 256, 128);
|
|
}
|
|
#endif
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_16x16x32, wmma_gemm_16x16x16_tt) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::Shape<32, 16, 16> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(16, 16, 16);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_16x16x32, wmma_gemm_16x16x32_tt) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::Shape<32, 16, 16> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(16, 16, 32);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_128x128x32, wmma_16x16x16_gemm_256x256x128_tt) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::Shape<32, 128, 128> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(256, 256, 128);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#if defined(CUDA_VERSION) && CUDA_VERSION >= 9100
|
|
TEST(WmmaGemm_128x128x32, wmma_8x32x16_gemm_256x256x128_tt) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::Shape<32, 128, 128>,
|
|
half,
|
|
half,
|
|
float,
|
|
cutlass::gemm::LinearScaling<float>,
|
|
float,
|
|
cutlass::Shape<32, 64, 64>,
|
|
cutlass::Shape<16, 32, 8> >
|
|
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(256, 256, 128);
|
|
}
|
|
#endif
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#if defined(CUDA_VERSION) && CUDA_VERSION >= 9100
|
|
TEST(WmmaGemm_128x128x32, wmma_32x8x16_gemm_256x256x128_tt) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::Shape<32, 128, 128>,
|
|
half,
|
|
half,
|
|
float,
|
|
cutlass::gemm::LinearScaling<float>,
|
|
float,
|
|
cutlass::Shape<32, 64, 64>,
|
|
cutlass::Shape<16, 8, 32> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(256, 256, 128);
|
|
}
|
|
#endif
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_16x16x32, wmma_gemm_16x16x16_tn) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::Shape<32, 16, 16> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(16, 16, 16);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_16x16x32, wmma_gemm_16x16x32_tn) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::Shape<32, 16, 16> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(16, 16, 32);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(WmmaGemm_128x128x32, wmma_16x16x16_gemm_256x256x128_tn) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::Shape<32, 128, 128> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(256, 256, 128);
|
|
}
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#if defined(CUDA_VERSION) && CUDA_VERSION >= 9100
|
|
TEST(WmmaGemm_128x128x32, wmma_8x32x16_gemm_256x256x128_tn) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::Shape<32, 128, 128>,
|
|
half,
|
|
half,
|
|
float,
|
|
cutlass::gemm::LinearScaling<float>,
|
|
float,
|
|
cutlass::Shape<32, 64, 64>,
|
|
cutlass::Shape<16, 32, 8> >
|
|
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(256, 256, 128);
|
|
}
|
|
#endif
|
|
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
#if defined(CUDA_VERSION) && CUDA_VERSION >= 9100
|
|
TEST(WmmaGemm_128x128x32, wmma_32x8x16_gemm_256x256x128_tn) {
|
|
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
|
|
cutlass::MatrixLayout::kColumnMajor,
|
|
cutlass::Shape<32, 128, 128>,
|
|
half,
|
|
half,
|
|
float,
|
|
cutlass::gemm::LinearScaling<float>,
|
|
float,
|
|
cutlass::Shape<32, 64, 64>,
|
|
cutlass::Shape<16, 8, 32> >
|
|
WmmaGemmTraits;
|
|
run_gemm<WmmaGemmTraits>(256, 256, 128);
|
|
}
|
|
#endif
|
|
////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
#endif // defined CUTLASS_USE_WMMA_API
|