cutlass/test/unit/gemm/device/simt_int8_igemm_sm61_perf.cu
ANIKET SHIVAM 66d9cddc83
New updates for 2.11 (#775)
* New updates.

* Minor profiler updates

Co-authored-by: Aniket Shivam <ashivam@nvidia.com>
2023-01-20 16:32:57 -05:00

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/*! \file
\brief Tests for device-wide GEMM interface
*/
#include <iostream>
#include "cutlass/cutlass.h"
#include "cutlass/gemm/device/gemm.h"
#include "../../common/cutlass_unit_test.h"
#include "cutlass/util/host_tensor.h"
#include "cutlass/util/tensor_view_io.h"
#include "cutlass/util/reference/host/tensor_fill.h"
#include "cutlass/util/reference/host/tensor_copy.h"
#include "cutlass/util/reference/host/tensor_compare.h"
#include "cutlass/util/reference/host/gemm.h"
#include "testbed.h"
////////////////////////////////////////////////////////////////////////////////
/////////////////////////////////////
// NT
/////////////////////////////////////
TEST(SM61_Device_Gemm_s8n_s8t_simt_op_dp4a_perf, 128x256x32_64x64x8) {
using ElementOutput = int8_t;
using ElementAccumulator = int32_t;
using ElementCompute = float;
using Gemm = cutlass::gemm::device::Gemm<
int8_t,
cutlass::layout::ColumnMajor,
int8_t,
cutlass::layout::RowMajor,
ElementOutput,
cutlass::layout::RowMajor,
int32_t,
cutlass::arch::OpClassSimt,
cutlass::arch::Sm61,
cutlass::gemm::GemmShape<128, 256, 32>,
cutlass::gemm::GemmShape<64, 64, 32>,
cutlass::gemm::GemmShape<1, 1, 4>,
cutlass::epilogue::thread::LinearCombinationClamp<
ElementOutput,
1,
ElementAccumulator,
ElementCompute
>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
2
>;
EXPECT_TRUE(test::gemm::device::TestGemmPerf<Gemm>());
}
/////////////////////////////////////
// TT
/////////////////////////////////////
TEST(SM61_Device_Gemm_s8t_s8t_simt_op_dp4a_perf, 128x256x32_64x64x8) {
using ElementOutput = int32_t;
using ElementAccumulator = int32_t;
using ElementCompute = float;
using Gemm = cutlass::gemm::device::Gemm<
int8_t,
cutlass::layout::RowMajor,
int8_t,
cutlass::layout::RowMajor,
ElementOutput,
cutlass::layout::RowMajor,
int32_t,
cutlass::arch::OpClassSimt,
cutlass::arch::Sm61,
cutlass::gemm::GemmShape<128, 256, 32>,
cutlass::gemm::GemmShape<64, 64, 32>,
cutlass::gemm::GemmShape<1, 1, 4>,
cutlass::epilogue::thread::LinearCombinationClamp<
ElementOutput,
1,
ElementAccumulator,
ElementCompute
>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
2
>;
EXPECT_TRUE(test::gemm::device::TestGemmPerf<Gemm>());
}
/////////////////////////////////////
// NN
/////////////////////////////////////
TEST(SM61_Device_Gemm_s8n_s8n_simt_op_dp4a_perf, 128x256x32_64x64x8) {
using ElementOutput = float;
using ElementAccumulator = int32_t;
using ElementCompute = float;
using Gemm = cutlass::gemm::device::Gemm<
int8_t,
cutlass::layout::ColumnMajor,
int8_t,
cutlass::layout::ColumnMajor,
ElementOutput,
cutlass::layout::RowMajor,
int32_t,
cutlass::arch::OpClassSimt,
cutlass::arch::Sm61,
cutlass::gemm::GemmShape<128, 256, 32>,
cutlass::gemm::GemmShape<64, 64, 32>,
cutlass::gemm::GemmShape<1, 1, 4>,
cutlass::epilogue::thread::LinearCombinationClamp<
ElementOutput,
1,
ElementAccumulator,
ElementCompute
>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
2
>;
EXPECT_TRUE(test::gemm::device::TestGemmPerf<Gemm>());
}
/////////////////////////////////////
// TN
/////////////////////////////////////
TEST(SM61_Device_Gemm_s8t_s8n_simt_op_dp4a_perf, 128x256x32_64x64x8) {
using ElementOutput = int8_t;
using ElementAccumulator = int32_t;
using ElementCompute = float;
using Gemm = cutlass::gemm::device::Gemm<
int8_t,
cutlass::layout::RowMajor,
int8_t,
cutlass::layout::ColumnMajor,
ElementOutput,
cutlass::layout::RowMajor,
int32_t,
cutlass::arch::OpClassSimt,
cutlass::arch::Sm61,
cutlass::gemm::GemmShape<128, 256, 32>,
cutlass::gemm::GemmShape<64, 64, 32>,
cutlass::gemm::GemmShape<1, 1, 4>,
cutlass::epilogue::thread::LinearCombinationClamp<
ElementOutput,
1,
ElementAccumulator,
ElementCompute
>,
cutlass::gemm::threadblock::GemmIdentityThreadblockSwizzle<>,
2
>;
EXPECT_TRUE(test::gemm::device::TestGemmPerf<Gemm>());
}