cutlass/tools/test/perf/gemm/wmma_gemm.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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#include "cutlass/wmma_matrix.h"
#ifdef CUTLASS_USE_WMMA_API
#pragma warning( disable : 4503)
////////////////////////////////////////////////////////////////////////////////////////////////////
#include "cutlass/gemm/gemm.h"
#include "cutlass/gemm/wmma_gemm_traits.h"
#include "tools/test/perf/cutlass_perf_test.h"
#include "tools/test/perf/gemm/gemm_profiler.h"
#include "tools/test/perf/gemm/cutlass_dispatch.h"
#include "tools/test/perf/gemm/gemm_perf_testbed.h"
////////////////////////////////////////////////////////////////////////////////////////////////////
template <typename Traits>
struct WmmaGemmDispatch {
typedef cutlass::gemm::Gemm<Traits> Gemm;
typedef typename Gemm::Params Params;
/// Indicate warp-level GEMM
static bool const kThreadMultiplyAdd = false;
#if CUTLASS_ENABLE_CUBLAS
static bool const kRunCuBLAS = true;
#else
static bool const kRunCuBLAS = false;
#endif
static cutlass::MatrixLayout::Kind const kLayoutA = Traits::kLayoutA;
static cutlass::MatrixLayout::Kind const kLayoutB = Traits::kLayoutB;
typedef typename Traits::ScalarA ScalarA;
typedef typename Traits::ScalarB ScalarB;
typedef typename Traits::ScalarC ScalarC;
typedef typename Traits::ScalarD ScalarD;
typedef typename Traits::Epilogue::Functor::Scalar Scalar;
//
// Data members
//
/// Params argument
Params params;
//
// Methods
//
WmmaGemmDispatch() {}
/// Initializes params object
WmmaGemmDispatch(
int m,
int n,
int k,
Scalar alpha,
ScalarA const* d_a,
int lda,
ScalarB const* d_b,
int ldb,
Scalar beta,
ScalarC const* d_c,
int ldc,
ScalarD* d_d,
int ldd) {
params.initialize(m, n, k, alpha, d_a, lda, d_b, ldb, beta, d_c, ldc, d_d, ldd);
}
WmmaGemmDispatch(int m,
int n,
int k,
Scalar alpha,
ScalarA const* d_a,
int lda,
long long int batch_stride_A,
ScalarB const* d_b,
int ldb,
long long int batch_stride_B,
Scalar beta,
ScalarC const* d_c,
int ldc,
long long int batch_stride_C,
ScalarD* d_d,
int ldd,
long long int batch_stride_D,
int batch_count) {
params.initialize(m, n, k, alpha, d_a, lda, batch_stride_A,
d_b, ldb, batch_stride_B,
beta, d_c, ldc, batch_stride_C,
d_d, ldd, batch_stride_D,
batch_count);
}
/// Initializes params object
WmmaGemmDispatch(Params const& _params) : params(_params) {}
/// Launches kernel
cudaError_t operator()() { return Gemm::launch(params); }
};
////////////////////////////////////////////////////////////////////////////////////////////////////
namespace perf {
////////////////////////////////////////////////////////////////////////////////////////////////////
template <typename DummyT>
int profile_wmma_gemm_f32(TestbenchOutput<GemmProblem> &output, TestbenchOptions const &options, Config const &config) {
typedef perf::GemmProfiler<cutlass::half_t, cutlass::half_t, float, float, float> GemmProfiler;
int results = 0;
{
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
cutlass::MatrixLayout::kRowMajor>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_nt", options, config);
}
{
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kColumnMajor,
cutlass::MatrixLayout::kColumnMajor>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_nn", options, config);
}
{
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
cutlass::MatrixLayout::kColumnMajor>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_tn", options, config);
}
{
typedef cutlass::gemm::WmmaGemmTraits<cutlass::MatrixLayout::kRowMajor,
cutlass::MatrixLayout::kRowMajor>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_tt", options, config);
}
return results;
}
////////////////////////////////////////////////////////////////////////////////////////////////////
template <typename DummyT>
int profile_wmma_gemm_f16(
TestbenchOutput<GemmProblem> &output,
TestbenchOptions const &options,
Config const &config) {
typedef perf::GemmProfiler<
cutlass::half_t,
cutlass::half_t,
cutlass::half_t,
cutlass::half_t,
cutlass::half_t> GemmProfiler;
int results = 0;
{
typedef cutlass::gemm::WmmaGemmTraits<
cutlass::MatrixLayout::kColumnMajor,
cutlass::MatrixLayout::kRowMajor,
cutlass::Shape<32, 256, 128>,
half,
half,
half,
cutlass::gemm::LinearScaling<half>,
half,
cutlass::Shape<32, 64, 64>
>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_f16_nt", options, config);
}
{
typedef cutlass::gemm::WmmaGemmTraits<
cutlass::MatrixLayout::kColumnMajor,
cutlass::MatrixLayout::kColumnMajor,
cutlass::Shape<32, 256, 128>,
half,
half,
half,
cutlass::gemm::LinearScaling<half>,
half,
cutlass::Shape<32, 64, 64>
>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_f16_nn", options, config);
}
{
typedef cutlass::gemm::WmmaGemmTraits<
cutlass::MatrixLayout::kRowMajor,
cutlass::MatrixLayout::kColumnMajor,
cutlass::Shape<32, 256, 128>,
half,
half,
half,
cutlass::gemm::LinearScaling<half>,
half,
cutlass::Shape<32, 64, 64>
>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_f16_tn", options, config);
}
{
typedef cutlass::gemm::WmmaGemmTraits<
cutlass::MatrixLayout::kRowMajor,
cutlass::MatrixLayout::kRowMajor,
cutlass::Shape<32, 256, 128>,
half,
half,
half,
cutlass::gemm::LinearScaling<half>,
half,
cutlass::Shape<32, 64, 64>
>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_gemm_f16_tt", options, config);
}
return results;
}
template <typename DummyT>
int profile_wmma_4_gemm_f16(
TestbenchOutput<GemmProblem> &output,
TestbenchOptions const &options,
Config const &config) {
typedef perf::GemmProfiler<
cutlass::half_t,
cutlass::half_t,
cutlass::half_t,
cutlass::half_t,
cutlass::half_t> GemmProfiler;
int results = 0;
// a set of test requires leading dim to be multiple of 4 instead of 8
{
typedef cutlass::gemm::WmmaGemmTraits<
cutlass::MatrixLayout::kColumnMajor,
cutlass::MatrixLayout::kRowMajor,
cutlass::Shape<32, 16, 16>,
half,
half,
half,
cutlass::gemm::LinearScaling<half>,
half,
typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
typename cutlass::Shape<16, 16, 16>,
4, /*kScalarsPerLdgA_*/
4, /*kScalarsPerLdgB_*/
4, /*KScalarsPerLdsA_*/
4, /*KScalarsPerLdsB_*/
4 / sizeof(half), /*kScalarsPerLdgCAndStgD_*/
4 / sizeof(half), /*kScalarsPerStsD_*/
4 / sizeof(half) /*kScalarsPerLdsD_*/
>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_gemm_f16_nt", options, config);
}
{
typedef cutlass::gemm::WmmaGemmTraits<
cutlass::MatrixLayout::kColumnMajor,
cutlass::MatrixLayout::kColumnMajor,
cutlass::Shape<32, 16, 16>,
half,
half,
half,
cutlass::gemm::LinearScaling<half>,
half,
typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
typename cutlass::Shape<16, 16, 16>,
4, /*kScalarsPerLdgA_*/
4, /*kScalarsPerLdgB_*/
4, /*KScalarsPerLdsA_*/
4, /*KScalarsPerLdsB_*/
4 / sizeof(half), /*kScalarsPerLdgCAndStgD_*/
4 / sizeof(half), /*kScalarsPerStsD_*/
4 / sizeof(half) /*kScalarsPerLdsD_*/
>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_gemm_f16_nn", options, config);
}
{
typedef cutlass::gemm::WmmaGemmTraits<
cutlass::MatrixLayout::kRowMajor,
cutlass::MatrixLayout::kColumnMajor,
cutlass::Shape<32, 16, 16>,
half,
half,
half,
cutlass::gemm::LinearScaling<half>,
half,
typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
typename cutlass::Shape<16, 16, 16>,
4, /*kScalarsPerLdgA_*/
4, /*kScalarsPerLdgB_*/
4, /*KScalarsPerLdsA_*/
4, /*KScalarsPerLdsB_*/
4 / sizeof(half), /*kScalarsPerLdgCAndStgD_*/
4 / sizeof(half), /*kScalarsPerStsD_*/
4 / sizeof(half) /*kScalarsPerLdsD_*/
>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_gemm_f16_tn", options, config);
}
{
typedef cutlass::gemm::WmmaGemmTraits<
cutlass::MatrixLayout::kRowMajor,
cutlass::MatrixLayout::kRowMajor,
cutlass::Shape<32, 16, 16>,
half,
half,
half,
cutlass::gemm::LinearScaling<half>,
half,
typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
typename cutlass::Shape<16, 16, 16>,
4, /*kScalarsPerLdgA_*/
4, /*kScalarsPerLdgB_*/
4, /*KScalarsPerLdsA_*/
4, /*KScalarsPerLdsB_*/
4 / sizeof(half), /*kScalarsPerLdgCAndStgD_*/
4 / sizeof(half), /*kScalarsPerStsD_*/
4 / sizeof(half) /*kScalarsPerLdsD_*/
>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_gemm_f16_tt", options, config);
}
return results;
}
template <typename DummyT>
int profile_wmma_4_fp16_sgemm_fp16(
TestbenchOutput<GemmProblem> &output,
TestbenchOptions const &options,
Config const &config) {
typedef perf::GemmProfiler<
cutlass::half_t,
cutlass::half_t,
cutlass::half_t,
float,
float> GemmProfiler;
int results = 0;
// a set of test requires leading dim to be multiple of 4 instead of 8
{
typedef float accumu_type;
typedef half c_type;
typedef cutlass::gemm::WmmaGemmTraits<
cutlass::MatrixLayout::kColumnMajor,
cutlass::MatrixLayout::kRowMajor,
cutlass::Shape<32, 16, 16>,
half,
half,
c_type,
cutlass::gemm::LinearScaling<accumu_type>,
accumu_type,
typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
typename cutlass::Shape<16, 16, 16>,
4, /*kScalarsPerLdgA_*/
4, /*kScalarsPerLdgB_*/
4, /*KScalarsPerLdsA_*/
4, /*KScalarsPerLdsB_*/
8 / sizeof(c_type), /*kScalarsPerLdgCAndStgD_*/
8 / sizeof(accumu_type), /*kScalarsPerStsD_*/
8 / sizeof(accumu_type) /*kScalarsPerLdsD_*/
>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_fp16_sgemm_fp16_nt", options, config);
}
{
typedef float accumu_type;
typedef half c_type;
typedef cutlass::gemm::WmmaGemmTraits<
cutlass::MatrixLayout::kColumnMajor,
cutlass::MatrixLayout::kColumnMajor,
cutlass::Shape<32, 16, 16>,
half,
half,
c_type,
cutlass::gemm::LinearScaling<accumu_type>,
accumu_type,
typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
typename cutlass::Shape<16, 16, 16>,
4, /*kScalarsPerLdgA_*/
4, /*kScalarsPerLdgB_*/
4, /*KScalarsPerLdsA_*/
4, /*KScalarsPerLdsB_*/
8 / sizeof(c_type), /*kScalarsPerLdgCAndStgD_*/
8 / sizeof(accumu_type), /*kScalarsPerStsD_*/
8 / sizeof(accumu_type) /*kScalarsPerLdsD_*/
>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_fp16_sgemm_fp16_nn", options, config);
}
{
typedef float accumu_type;
typedef half c_type;
typedef cutlass::gemm::WmmaGemmTraits<
cutlass::MatrixLayout::kRowMajor,
cutlass::MatrixLayout::kColumnMajor,
cutlass::Shape<32, 16, 16>,
half,
half,
c_type,
cutlass::gemm::LinearScaling<accumu_type>,
accumu_type,
typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
typename cutlass::Shape<16, 16, 16>,
4, /*kScalarsPerLdgA_*/
4, /*kScalarsPerLdgB_*/
4, /*KScalarsPerLdsA_*/
4, /*KScalarsPerLdsB_*/
8 / sizeof(c_type), /*kScalarsPerLdgCAndStgD_*/
8 / sizeof(accumu_type), /*kScalarsPerStsD_*/
8 / sizeof(accumu_type) /*kScalarsPerLdsD_*/
>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_fp16_sgemm_fp16_tn", options, config);
}
{
typedef float accumu_type;
typedef half c_type;
typedef cutlass::gemm::WmmaGemmTraits<
cutlass::MatrixLayout::kRowMajor,
cutlass::MatrixLayout::kRowMajor,
cutlass::Shape<32, 16, 16>,
half,
half,
c_type,
cutlass::gemm::LinearScaling<accumu_type>,
accumu_type,
typename cutlass::gemm::WmmaGemmAccumulatorsPerWarp<typename cutlass::Shape<32, 16, 16> >::Shape,
typename cutlass::Shape<16, 16, 16>,
4, /*kScalarsPerLdgA_*/
4, /*kScalarsPerLdgB_*/
4, /*KScalarsPerLdsA_*/
4, /*KScalarsPerLdsB_*/
8 / sizeof(c_type), /*kScalarsPerLdgCAndStgD_*/
8 / sizeof(accumu_type), /*kScalarsPerStsD_*/
8 / sizeof(accumu_type) /*kScalarsPerLdsD_*/
>
WmmaGemmTraits;
typedef WmmaGemmDispatch<WmmaGemmTraits> Dispatch;
results |= profile_gemm<Dispatch, GemmProfiler>(output, "wmma_4_fp16_sgemm_fp16_tt", options, config);
}
return results;
}
////////////////////////////////////////////////////////////////////////////////////////////////////
struct WmmaGemmRegistrar {
WmmaGemmRegistrar() {
RegisterGemmProfileFunc(profile_wmma_gemm_f32<void>);
RegisterGemmProfileFunc(profile_wmma_gemm_f16<void>);
//#ifdef EXHAUSTIVE_PROF
RegisterGemmProfileFunc(profile_wmma_4_gemm_f16<void>);
//fp32 accum with fp16 input and output
RegisterGemmProfileFunc(profile_wmma_4_fp16_sgemm_fp16<void>);
//#endif // defined EXHAUSTIVE_PROF
}
};
volatile WmmaGemmRegistrar _WmmaGemmRegistrar;
////////////////////////////////////////////////////////////////////////////////////////////////////
} // namespace perf
////////////////////////////////////////////////////////////////////////////////////////////////////
#endif // defined CUTLASS_USE_WMMA_API