cutlass/test/unit/epilogue/threadblock/epilogue_simt_sm61.cu

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/*! \file
\brief Unit tests for thread-level GEMM
*/
#include "../../common/cutlass_unit_test.h"
#include "cutlass/aligned_buffer.h"
#include "cutlass/gemm/warp/mma_simt.h"
#include "cutlass/gemm/warp/mma_simt_policy.h"
#include "cutlass/epilogue/thread/linear_combination.h"
#include "cutlass/epilogue/thread/linear_combination_clamp.h"
#include "cutlass/epilogue/threadblock/default_epilogue_simt.h"
#include "cutlass/util/host_tensor.h"
#include "cutlass/util/tensor_view_io.h"
#include "cutlass/util/reference/host/tensor_fill.h"
#include "testbed.h"
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Real-valued Integer tests
//
/////////////////////////////////////////////////////////////////////////////////////////////////
TEST(SM61_Epilogue_threadblock_epilogue, simt_i32_32x64_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = int;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<32, 64, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
TEST(SM61_Epilogue_threadblock_epilogue, simt_i32_32x128_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = int;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<32, 128, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
TEST(SM61_Epilogue_threadblock_epilogue, simt_i32_64x128_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = int;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<64, 128, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
TEST(SM61_Epilogue_threadblock_epilogue, simt_i32_128x128_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = int;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<128, 128, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
TEST(SM61_Epilogue_threadblock_epilogue, simt_i32_128x64_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = int;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<128, 64, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Real-valued Integer - single-precision float output
//
/////////////////////////////////////////////////////////////////////////////////////////////////
TEST(SM61_Epilogue_threadblock_epilogue, simt_f32_i32_32x64_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = float;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<32, 64, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
TEST(SM61_Epilogue_threadblock_epilogue, simt_f32_i32_32x128_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = float;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<32, 128, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
TEST(SM61_Epilogue_threadblock_epilogue, simt_f32_i32_64x128_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = float;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<64, 128, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
TEST(SM61_Epilogue_threadblock_epilogue, simt_f32_i32_128x128_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = float;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<128, 128, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
TEST(SM61_Epilogue_threadblock_epilogue, simt_f32_i32_128x64_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = float;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<128, 64, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
/////////////////////////////////////////////////////////////////////////////////////////////////
//
// Real-valued Integer tests - mixed-precision with clamping
//
/////////////////////////////////////////////////////////////////////////////////////////////////
TEST(SM61_Epilogue_threadblock_epilogue, simt_i8_i32_32x64_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = int8_t;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<32, 64, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
TEST(SM61_Epilogue_threadblock_epilogue, simt_i8_i32_32x128_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = int8_t;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<32, 128, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
TEST(SM61_Epilogue_threadblock_epilogue, simt_i8_i32_64x128_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = int8_t;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<64, 128, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
TEST(SM61_Epilogue_threadblock_epilogue, simt_i8_i32_128x128_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = int8_t;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<128, 128, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
TEST(SM61_Epilogue_threadblock_epilogue, simt_i8_i32_128x64_32x64x8) {
//
// Define the warp-level matrix multiply
//
using ElementA = int8_t;
using ElementB = int8_t;
using ElementC = int;
using ElementOutput = int8_t;
using ElementAccumulator = int;
using ElementCompute = float;
int const kElementsPerAccess = 1;
using Shape = cutlass::gemm::GemmShape<128, 64, 32>;
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
using ElementC = ElementAccumulator;
using LayoutA = cutlass::layout::ColumnMajor;
using LayoutB = cutlass::layout::RowMajor;
using LayoutC = cutlass::layout::RowMajor;
using WarpMmaSimt = cutlass::gemm::warp::MmaSimt<
WarpShape,
ElementA,
LayoutA,
ElementB,
LayoutB,
ElementC,
LayoutC,
cutlass::gemm::warp::MmaSimtPolicy<
cutlass::MatrixShape<4, 8>,
cutlass::layout::RowMajorInterleaved<2>,
cutlass::gemm::GemmShape<4, 4, 1>
>
>;
//
// Output operator
//
using OutputOp = cutlass::epilogue::thread::LinearCombination<
ElementOutput,
kElementsPerAccess,
ElementAccumulator,
ElementCompute
>;
//
// Define the epilogue
//
using Epilogue = typename cutlass::epilogue::threadblock::DefaultEpilogueSimt<
Shape,
WarpMmaSimt,
OutputOp,
kElementsPerAccess
>::Epilogue;
//
// Instantiate epilogue
//
EpilogueTestbed<Epilogue> testbed;
bool passed = testbed.run_all();
EXPECT_TRUE(passed);
}
/////////////////////////////////////////////////////////////////////////////////////////////////