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cutlass/test/unit/gemm/threadblock/mma_pipelined_simt.cu
Andrew Kerr fb335f6a5f
CUTLASS 2.0 (#62) 
CUTLASS 2.0

Substantially refactored for

- Better performance, particularly for native Turing Tensor Cores
- Robust and durable templates spanning the design space
- Encapsulated functionality embodying modern C++11 programming techniques
- Optimized containers and data types for efficient, generic, portable device code

Updates to:
- Quick start guide
- Documentation
- Utilities
- CUTLASS Profiler

Native Turing Tensor Cores
- Efficient GEMM kernels targeting Turing Tensor Cores
- Mixed-precision floating point, 8-bit integer, 4-bit integer, and binarized operands

Coverage of existing CUTLASS functionality:
- GEMM kernels targeting CUDA and Tensor Cores in NVIDIA GPUs
- Volta Tensor Cores through native mma.sync and through WMMA API
- Optimizations such as parallel reductions, threadblock rasterization, and intra-threadblock reductions
- Batched GEMM operations
- Complex-valued GEMMs

Note: this commit and all that follow require a host compiler supporting C++11 or greater.
2019-11-19 16:55:34 -08:00

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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.
*
**************************************************************************************************/
/*! \file
\brief Unit tests for thread-level GEMM
*/
#include "mma_pipelined_testbed.h"
/////////////////////////////////////////////////////////////////////////////////////////////////
// sgemm_NT
/////////////////////////////////////////////////////////////////////////////////////////////////
TEST(SM50_sgemm, sgemm_nt_32x64x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<32, 64, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
float, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
float, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
float, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass,
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(32, 64, 48);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_sgemm, sgemm_nt_64x64x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 64, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
float, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
float, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
float, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 64, 48);
float alpha = 1.f;
float beta = 0.0f;
dim3 grid(1, 1);
dim3 block(32, 2, 1);
test::gemm::threadblock::Testbed<MmaCore>(
problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
.run(grid, block, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_sgemm, sgemm_nt_32x128x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<32, 128, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
float, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
float, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
float, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(32, 128, 48);
float alpha = 1.f;
float beta = 0.0f;
dim3 grid(1, 1);
dim3 block(32, 2, 1);
test::gemm::threadblock::Testbed<MmaCore>(
problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
.run(grid, block, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_sgemm, sgemm_nt_64x128x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 128, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
float, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
float, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
float, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 128, 16);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_sgemm, sgemm_nt_128x128x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<128, 128, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
float, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
float, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
float, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(128, 128, 48);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
/////////////////////////////////////////////////////////////////////////////////////////////////
// dgemm_NN
/////////////////////////////////////////////////////////////////////////////////////////////////
TEST(SM50_dgemm, dgemm_nt_32x64x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<32, 64, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
double, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
double, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
double, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(32, 64, 48);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_dgemm, dgemm_nt_64x64x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 64, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
double, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
double, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
double, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 64, 48);
float alpha = 1.f;
float beta = 0.0f;
dim3 grid(1, 1);
dim3 block(32, 2, 1);
test::gemm::threadblock::Testbed<MmaCore>(
problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
.run(grid, block, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_dgemm, dgemm_nt_32x128x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<32, 128, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
double, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
double, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
double, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(32, 128, 48);
float alpha = 1.f;
float beta = 0.0f;
dim3 grid(1, 1);
dim3 block(32, 2, 1);
test::gemm::threadblock::Testbed<MmaCore>(
problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
.run(grid, block, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_dgemm, dgemm_nt_64x128x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 128, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
double, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
double, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
double, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 128, 16);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_dgemm, dgemm_nt_128x128x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<128, 128, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
double, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
double, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
double, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(128, 128, 48);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
/////////////////////////////////////////////////////////////////////////////////////////////////
// igemm_NN
/////////////////////////////////////////////////////////////////////////////////////////////////
TEST(SM50_igemm, igemm_nt_32x64x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<32, 64, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
int, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(32, 64, 48);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_igemm, igemm_nt_64x64x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 64, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
int, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 64, 48);
float alpha = 1.f;
float beta = 0.0f;
dim3 grid(1, 1);
dim3 block(32, 2, 1);
test::gemm::threadblock::Testbed<MmaCore>(
problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
.run(grid, block, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_igemm, igemm_nt_32x128x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<32, 128, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
int, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(32, 128, 48);
float alpha = 1.f;
float beta = 0.0f;
dim3 grid(1, 1);
dim3 block(32, 2, 1);
test::gemm::threadblock::Testbed<MmaCore>(
problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
.run(grid, block, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_igemm, igemm_nt_64x128x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 128, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
int, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 128, 16);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_igemm, igemm_nt_128x128x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<128, 128, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
int, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(128, 128, 48);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
/////////////////////////////////////////////////////////////////////////////////////////////////
// hgemm_NN
/////////////////////////////////////////////////////////////////////////////////////////////////
TEST(SM50_hgemm, hgemm_nt_32x64x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<32, 64, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
cutlass::half_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
cutlass::half_t, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
cutlass::half_t, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(32, 64, 48);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_hgemm, hgemm_nt_64x64x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 64, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
cutlass::half_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
cutlass::half_t, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
cutlass::half_t, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 64, 48);
float alpha = 1.f;
float beta = 0.0f;
dim3 grid(1, 1);
dim3 block(32, 2, 1);
test::gemm::threadblock::Testbed<MmaCore>(
problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
.run(grid, block, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_hgemm, hgemm_nt_32x128x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<32, 128, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
cutlass::half_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
cutlass::half_t, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
cutlass::half_t, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(32, 128, 48);
float alpha = 1.f;
float beta = 0.0f;
dim3 grid(1, 1);
dim3 block(32, 2, 1);
test::gemm::threadblock::Testbed<MmaCore>(
problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
.run(grid, block, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_hgemm, hgemm_nt_64x128x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 128, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
cutlass::half_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
cutlass::half_t, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
cutlass::half_t, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 128, 16);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM50_hgemm, hgemm_nt_128x128x8_32x64x1) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<128, 128, 8>, // ThreadblockShape,
cutlass::gemm::GemmShape<32, 64, 8>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 1>, // InstructionShape,
cutlass::half_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
cutlass::half_t, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
cutlass::half_t, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(128, 128, 48);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
/////////////////////////////////////////////////////////////////////////////////////////////////
// igemm_NT DP4A
/////////////////////////////////////////////////////////////////////////////////////////////////
TEST(SM61_igemm, igemm_int8_nt_64x64x16_64x64x4) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 64, 16>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 16>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 64, 32);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_nt_64x64x32_64x64x4) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 64, 32>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 32>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 64, 4096);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_nt_64x64x16_64x64x8) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 64, 16>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 16>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 64, 32);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_nt_128x64x16_64x64x8) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<128, 64, 16>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 16>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(128, 64, 32);
float alpha = 1.f;
float beta = 0.0f;
dim3 grid(1, 1);
dim3 block(32, 2, 1);
test::gemm::threadblock::Testbed<MmaCore>(
problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
.run(grid, block, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_nt_128x128x16_64x64x8) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<128, 128, 16>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 16>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(128, 128, 32);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_nt_256x128x16_64x64x8) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<256, 256, 16>, // ThreadblockShape,
cutlass::gemm::GemmShape<128, 64, 16>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(256, 256, 32);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_nt_128x256x64_64x64x16) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<128, 256, 64>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 64>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(128, 256, 64);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_nt_256x128x64_64x64x16) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<256, 128, 64>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 64>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::RowMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(256, 128, 64);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_tn_64x64x16_64x64x4) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 64, 16>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 16>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::RowMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::ColumnMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 64, 32);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_tn_64x64x32_64x64x4) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 64, 32>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 32>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::RowMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::ColumnMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 64, 4096);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_tn_64x64x16_64x64x8) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 64, 16>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 16>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::RowMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::ColumnMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 64, 32);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_tn_128x64x16_64x64x8) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<128, 64, 16>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 16>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::RowMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::ColumnMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(128, 64, 32);
float alpha = 1.f;
float beta = 0.0f;
dim3 grid(1, 1);
dim3 block(32, 2, 1);
test::gemm::threadblock::Testbed<MmaCore>(
problem_size.m(), problem_size.n(), problem_size.k(), alpha, beta)
.run(grid, block, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_tn_128x128x16_64x64x8) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<128, 128, 16>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 16>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::RowMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::ColumnMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(128, 128, 32);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_tn_256x128x16_64x64x8) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<256, 256, 16>, // ThreadblockShape,
cutlass::gemm::GemmShape<128, 64, 16>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::RowMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::ColumnMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(256, 256, 32);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_tn_128x256x64_64x64x16) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<128, 256, 64>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 64>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::RowMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::ColumnMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(128, 256, 64);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_tn_256x128x64_64x64x16) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<256, 128, 64>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 64>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::RowMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::ColumnMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(256, 128, 64);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
TEST(SM61_igemm, igemm_int8_nn_64x64x16_64x64x4) {
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
cutlass::gemm::GemmShape<64, 64, 16>, // ThreadblockShape,
cutlass::gemm::GemmShape<64, 64, 16>, // WarpShape,
cutlass::gemm::GemmShape<1, 1, 4>, // InstructionShape,
int8_t, // ElementA,
cutlass::layout::ColumnMajor, // LayoutA,
int8_t, // ElementB,
cutlass::layout::ColumnMajor, // LayoutB,
int, // ElementC,
cutlass::layout::RowMajor, // LayoutC,
cutlass::arch::OpClassSimt, // OpClass
2, // Stages,
cutlass::arch::OpMultiplyAdd // Operator,
>;
cutlass::gemm::GemmCoord problem_size(64, 64, 32);
float alpha = 1.f;
float beta = 0.0f;
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, cutlass::Distribution::Uniform, cutlass::Distribution::Uniform);
}
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