187 lines
8.2 KiB
Plaintext
187 lines
8.2 KiB
Plaintext
/***************************************************************************************************
|
|
* Copyright (c) 2017 - 2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
* SPDX-License-Identifier: BSD-3-Clause
|
|
*
|
|
* Redistribution and use in source and binary forms, with or without
|
|
* modification, are permitted provided that the following conditions are met:
|
|
*
|
|
* 1. Redistributions of source code must retain the above copyright notice, this
|
|
* list of conditions and the following disclaimer.
|
|
*
|
|
* 2. 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.
|
|
*
|
|
* 3. Neither the name of the copyright holder 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 THE COPYRIGHT HOLDER OR CONTRIBUTORS 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 CTA-level GEMM specifically for sliced-k kernels (SM_61 and SM_75)
|
|
*/
|
|
|
|
#include "mma_pipelined_testbed_slicedk.h"
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
// igemm_NT DP4A
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM61_igemm_sliced_k, igemm_int8_nt_32x32x128_32x32x4) {
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
cutlass::gemm::GemmShape<32, 32, 128>, // ThreadblockShape,
|
|
cutlass::gemm::GemmShape<32, 32, 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::gemm::GemmCoord problem_size(32, 32, 128);
|
|
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_sliced_k_big, igemm_int8_nt_32x32x128_32x32x4_bigk) {
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
cutlass::gemm::GemmShape<32, 32, 128>, // ThreadblockShape,
|
|
cutlass::gemm::GemmShape<32, 32, 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::gemm::GemmCoord problem_size(32, 32, 1024);
|
|
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_sliced_k, igemm_int8_nt_32x64x128_32x32x4) {
|
|
using MmaCore = typename cutlass::gemm::threadblock::DefaultMmaCore<
|
|
cutlass::gemm::GemmShape<32, 64, 128>, // ThreadblockShape,
|
|
cutlass::gemm::GemmShape<32, 32, 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::gemm::GemmCoord problem_size(32, 64, 256);
|
|
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);
|
|
}
|
|
|
|
#if defined(CUTLASS_ARCH_MMA_SM75_SUPPORTED)
|
|
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
// Tensor Op GEMM for SM_75
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////
|
|
|
|
TEST(SM75_gemm_threadblock_congruous_sliced, tensor_op_64x64x256_tb64x64x64_warp64x32x32_16x8x8) {
|
|
|
|
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, 256);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 64>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 32, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
|
|
|
|
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, 2,
|
|
cutlass::arch::OpMultiplyAdd>;
|
|
|
|
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(SM75_gemm_threadblock_crosswise_sliced, tensor_op_64x64x256_tb64x64x64_warp64x32x32_16x8x8) {
|
|
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(64, 64, 256);
|
|
|
|
using ThreadblockShape = cutlass::gemm::GemmShape<64, 64, 64>;
|
|
using WarpShape = cutlass::gemm::GemmShape<64, 32, 32>;
|
|
using InstructionShape = cutlass::gemm::GemmShape<16, 8, 8>;
|
|
|
|
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, 2,
|
|
cutlass::arch::OpMultiplyAdd>;
|
|
|
|
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
|