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cutlass/tools/test/perf/gemm/igemm_splitK.cu
Andrew Kerr 877bdcace6
Cutlass 1.3 Release (#42) 
CUTLASS 1.3 Release
- Efficient GEMM kernel targeting Volta Tensor Cores via mma.sync instruction added in CUDA 10.1.
2019-03-20 10:49:17 -07:00

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/***************************************************************************************************
* Copyright (c) 2017-2019, 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.
*
**************************************************************************************************/
#if (!defined(__CUDA_ARCH__) || (__CUDA_ARCH__ >= 610))
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/igemm_traits.h"
#include "cutlass/reduction/batched_reduction_traits.h"
#include "cutlass/gemm/device_gemm_traits.h"
#include "tools/test/perf/cutlass_perf_test.h"
#include "tools/test/perf/gemm/gemm_perf_testbed.h"
#include "tools/test/perf/gemm/gemm_profiler.h"
#include "tools/test/perf/gemm/cutlass_dispatch.h"
#include "tools/test/perf/gemm/cutlass_dispatch_splitK_PI.h"
#pragma warning( disable : 4503)
namespace perf {
////////////////////////////////////////////////////////////////////////////////////////////////////
template <typename OutputTile, int splits_count>
int profile_igemm_splitkpi_kernel(
TestbenchOutput<GemmProblem> &output,
TestbenchOptions const &options,
Config const &config,
std::string const &name,
std::string const &algo) {
typedef perf::GemmProfiler<int8_t, int8_t, int, int, int> GemmProfiler;
int results = 0;
{
/*batched igemm traits*/
typedef cutlass::gemm::IgemmTraits<
cutlass::MatrixLayout::kColumnMajor,
cutlass::MatrixLayout::kColumnMajor,
OutputTile
> IgemmTraits;
/*batched reduction traits*/
typedef cutlass::reduction::BatchedReductionTraits<int,
int,
int,
int,
int, /*accumulation type*/
splits_count,
cutlass::Shape<1, 1, 128>,
cutlass::Shape<1, 1, 64>,
cutlass::Shape<1, 1, 2> >
BatchedReductionTraits;
// create a device gemm
typedef typename cutlass::gemm::SplitkPIGemmTraits<IgemmTraits, BatchedReductionTraits> deviceGemmTraits;
typedef typename CutlassDispatchSplitKPIGemmBasic<deviceGemmTraits>::Dispatch Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, name + "_nn", options, config, algo + "_splitk_pi");
}
{
/*batched igemm traits*/
typedef cutlass::gemm::IgemmTraits<
cutlass::MatrixLayout::kColumnMajor,
cutlass::MatrixLayout::kRowMajor,
OutputTile
> IgemmTraits;
/*batched reduction traits*/
typedef cutlass::reduction::BatchedReductionTraits<int,
int,
int,
int,
int, /*accumulation type*/
splits_count,
cutlass::Shape<1, 1, 128>,
cutlass::Shape<1, 1, 64>,
cutlass::Shape<1, 1, 2> >
BatchedReductionTraits;
// create a device gemm
typedef typename cutlass::gemm::SplitkPIGemmTraits<IgemmTraits, BatchedReductionTraits> deviceGemmTraits;
typedef typename CutlassDispatchSplitKPIGemmBasic<deviceGemmTraits>::Dispatch Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, name + "_nt", options, config, algo + "_splitk_pi");
}
{
/*batched igemm traits*/
typedef cutlass::gemm::IgemmTraits<
cutlass::MatrixLayout::kRowMajor,
cutlass::MatrixLayout::kColumnMajor,
OutputTile
> IgemmTraits;
/*batched reduction traits*/
typedef cutlass::reduction::BatchedReductionTraits<int,
int,
int,
int,
int, /*accumulation type*/
splits_count,
cutlass::Shape<1, 1, 128>,
cutlass::Shape<1, 1, 64>,
cutlass::Shape<1, 1, 2> >
BatchedReductionTraits;
// create a device gemm
typedef typename cutlass::gemm::SplitkPIGemmTraits<IgemmTraits, BatchedReductionTraits> deviceGemmTraits;
typedef typename CutlassDispatchSplitKPIGemmBasic<deviceGemmTraits>::Dispatch Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, name + "_tn", options, config, algo + "_splitk_pi");
}
{
/*batched igemm traits*/
typedef cutlass::gemm::IgemmTraits<
cutlass::MatrixLayout::kRowMajor,
cutlass::MatrixLayout::kRowMajor,
OutputTile
> IgemmTraits;
/*batched reduction traits*/
typedef cutlass::reduction::BatchedReductionTraits<int,
int,
int,
int,
int, /*accumulation type*/
splits_count,
cutlass::Shape<1, 1, 128>,
cutlass::Shape<1, 1, 64>,
cutlass::Shape<1, 1, 2> >
BatchedReductionTraits;
// create a device gemm
typedef typename cutlass::gemm::SplitkPIGemmTraits<IgemmTraits, BatchedReductionTraits> deviceGemmTraits;
typedef typename CutlassDispatchSplitKPIGemmBasic<deviceGemmTraits>::Dispatch Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, name + "_tt", options, config, algo + "_splitk_pi");
}
return results;
}
/// Profiles all SGEMM tile sizes
int profile_igemm_splitkpi(TestbenchOutput<GemmProblem> &output, TestbenchOptions const &options, Config const &config) {
int results = 0;
/*128x128x32*/
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 128, 128>, 8 >(output, options, config, "igemm_128x128x32_splitk_pi_split8", "128x128");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 128, 128>, 16 >(output, options, config, "igemm_128x128x32_splitk_pi_split16", "128x128");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 128, 128>, 32 >(output, options, config, "igemm_128x128x32_splitk_pi_split32", "128x128");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 128, 128>, 64 >(output, options, config, "igemm_128x128x32_splitk_pi_split64", "128x128");
/*128x64x32*/
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 64, 128>, 8 >(output, options, config, "igemm_128x64x32_splitk_pi_split8", "128x64");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 64, 128>, 16 >(output, options, config, "igemm_128x64x32_splitk_pi_split16", "128x64");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 64, 128>, 20 >(output, options, config, "igemm_128x64x32_splitk_pi_split20", "128x64");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 64, 128>, 32 >(output, options, config, "igemm_128x64x32_splitk_pi_split32", "128x64");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 64, 128>, 64 >(output, options, config, "igemm_128x64x32_splitk_pi_split64", "128x64");
/*128x32x32*/
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 32, 128>, 8 >(output, options, config, "igemm_128x32x32_splitk_pi_split8", "128x32");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 32, 128>, 16 >(output, options, config, "igemm_128x32x32_splitk_pi_split16", "128x32");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 32, 128>, 20 >(output, options, config, "igemm_128x32x32_splitk_pi_split20", "128x32");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 32, 128>, 32 >(output, options, config, "igemm_128x32x32_splitk_pi_split32", "128x32");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 32, 128>, 64 >(output, options, config, "igemm_128x32x32_splitk_pi_split64", "128x32");
/*64x64x32*/
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 64, 64>, 8 >(output, options, config, "igemm_64x64x32_splitk_pi_split8", "64x64");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 64, 64>, 16 >(output, options, config, "igemm_64x64x32_splitk_pi_split16", "64x64");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 64, 64>, 20 >(output, options, config, "igemm_64x64x32_splitk_pi_split20", "64x64");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 64, 64>, 32 >(output, options, config, "igemm_64x64x32_splitk_pi_split32", "64x64");
results |= profile_igemm_splitkpi_kernel<cutlass::Shape<32, 64, 64>, 64 >(output, options, config, "igemm_64x64x32_splitk_pi_split64", "64x64");
return results;
}
struct IgemmSplitKPIRegistrar {
IgemmSplitKPIRegistrar() { RegisterGemmProfileFunc(profile_igemm_splitkpi); }
};
volatile IgemmSplitKPIRegistrar _IgemmSplitKPIRegistrar;
////////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace perf
#endif // if (!defined(__CUDA_ARCH__) || (__CUDA_ARCH__ >= 610))
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