493 lines
18 KiB
Plaintext
493 lines
18 KiB
Plaintext
/***************************************************************************************************
|
|
* Copyright (c) 2017-2021, 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 TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
|
|
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
|
|
*
|
|
**************************************************************************************************/
|
|
/*! \file
|
|
\brief Unit tests for thread-level GEMM
|
|
*/
|
|
|
|
#include "mma_pipelined_testbed.h"
|
|
|
|
#if defined(CUTLASS_ARCH_MMA_SM70_SUPPORTED)
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_congruous, tensor_op_64x64x32_64x64x32_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using ElementC = float;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(64, 64, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC,
|
|
cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 1, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_congruous, tensor_op_128x128x32_64x64x32_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using ElementC = float;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(128, 128, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC,
|
|
cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 4, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_congruous, tensor_op_64x64x32_32x32x32_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using ElementC = float;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(64, 64, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<32, 32, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC,
|
|
cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 4, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_congruous, tensor_op_128x64x32_64x32x32_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using ElementC = float;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(128, 64, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 32, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC,
|
|
cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 4, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_congruous, tensor_op_128x64x64_64x32x64_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using ElementC = float;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(128, 64, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 64>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 32, 64>;
|
|
using OperatorShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, OperatorShape, ElementA, LayoutA, ElementB,
|
|
LayoutB, ElementC, LayoutC, cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 4, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_congruous, tensor_op_64x128x32_32x64x32_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using ElementC = float;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(64, 128, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC,
|
|
cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 4, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_congruous, tensor_op_256x128x32_32x64x32_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::ColumnMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::RowMajor;
|
|
using ElementC = float;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(256, 128, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<256, 128, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC,
|
|
cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 8, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_crosswise, tensor_op_64x64x32_64x64x32_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using ElementC = cutlass::half_t;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(64, 64, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC,
|
|
cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 1, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_crosswise, tensor_op_128x128x32_64x64x32_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using ElementC = cutlass::half_t;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(128, 128, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<128, 128, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC,
|
|
cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 4, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_crosswise, tensor_op_256x128x32_64x64x32_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using ElementC = cutlass::half_t;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(256, 128, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<256, 128, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 64, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC,
|
|
cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 8, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_crosswise, tensor_op_64x64x32_32x32x32_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using ElementC = cutlass::half_t;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(64, 64, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<32, 32, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC,
|
|
cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 4, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_crosswise, tensor_op_128x64x32_64x32x32_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using ElementC = cutlass::half_t;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(128, 64, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 32, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC,
|
|
cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 4, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_crosswise, tensor_op_128x64x64_64x32x64_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using ElementC = float;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(128, 64, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<128, 64, 64>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 32, 64>;
|
|
using OperatorShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, OperatorShape, ElementA, LayoutA, ElementB,
|
|
LayoutB, ElementC, LayoutC, cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 4, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM70_gemm_threadblock_crosswise, tensor_op_64x128x32_32x64x32_8x8x4) {
|
|
using ElementA = cutlass::half_t;
|
|
using LayoutA = cutlass::layout::RowMajor;
|
|
using ElementB = cutlass::half_t;
|
|
using LayoutB = cutlass::layout::ColumnMajor;
|
|
using ElementC = cutlass::half_t;
|
|
using LayoutC = cutlass::layout::ColumnMajor;
|
|
|
|
cutlass::gemm::GemmCoord problem_size(64, 128, 128);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<64, 128, 32>;
|
|
using WarpShape = cutlass::gemm::GemmShape<32, 64, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<8, 8, 4>;
|
|
|
|
float alpha = 1.f;
|
|
float beta = 0.0f;
|
|
|
|
// Define the MmaCore components
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
ThreadblockShape, WarpShape, InstructionShape, ElementA, LayoutA,
|
|
ElementB, LayoutB, ElementC, LayoutC,
|
|
cutlass::arch::OpClassTensorOp>;
|
|
|
|
dim3 grid(1, 1);
|
|
dim3 block(32, 4, 1);
|
|
|
|
test::gemm::threadblock::Testbed<MmaCore>(problem_size.m(), problem_size.n(),
|
|
problem_size.k(), alpha, beta)
|
|
.run(grid, block);
|
|
}
|
|
|
|
#endif // CUTLASS_ARCH_MMA_SM70_SUPPORTED
|