Files
composable_kernel/test/gemm_add/test_gemm_common.hpp
Illia Silin 717f2efef7 [rocm-libraries] ROCm/rocm-libraries#6978 (commit e58096d)
[CK] add composable kernel support on gfx1250 (#6978)

## Motivation

Add composable kernel support on gfx1250.

## Technical Details

<!-- Explain the changes along with any relevant GitHub links. -->

## Test Plan

<!-- Explain any relevant testing done to verify this PR. -->

## Test Result

<!-- Briefly summarize test outcomes. -->

## Submission Checklist

- [ ] Look over the contributing guidelines at
https://github.com/ROCm/ROCm/blob/develop/CONTRIBUTING.md#pull-requests.

---------

Co-authored-by: Qun Lin <qlin@amd.com>
Co-authored-by: jialuo12_amdeng <jia.luo@amd.com>
Co-authored-by: Andriy Roshchenko <andriy.roshchenko@amd.com>
Co-authored-by: hsivasun_amdeng <haresh.sivasuntharampillai@amd.com>
2026-05-15 06:46:51 -07:00

202 lines
7.0 KiB
C++

// Copyright (c) Advanced Micro Devices, Inc., or its affiliates.
// SPDX-License-Identifier: MIT
#include "gtest/gtest.h"
#include "ck/ck.hpp"
#include "ck/tensor_operation/gpu/device/tensor_layout.hpp"
#include "ck/utility/data_type.hpp"
using Row = ck::tensor_layout::gemm::RowMajor;
using Col = ck::tensor_layout::gemm::ColumnMajor;
using I8 = int8_t;
using I32 = int32_t;
using BF16 = ck::bhalf_t;
using F16 = ck::half_t;
using F32 = float;
using F8 = ck::f8_t;
// M, N, K
using TestMatrixSizes = std::vector<std::vector<ck::index_t>>;
static const TestMatrixSizes DefaultTestMatrixSizes = {
{16, 32, 64}, {512, 2048, 4096}, {2048, 1024, 16}};
static ck::index_t param_mask = 0xffff;
static ck::index_t instance_index = -1;
template <typename Tuple>
class TestGemmCommon : public ::testing::Test
{
protected:
using ADataType = std::tuple_element_t<0, Tuple>;
using BDataType = std::tuple_element_t<1, Tuple>;
using AccDataType = std::tuple_element_t<2, Tuple>;
using EDataType = std::tuple_element_t<3, Tuple>;
using ALayout = std::tuple_element_t<4, Tuple>;
using BLayout = std::tuple_element_t<5, Tuple>;
using ELayout = std::tuple_element_t<6, Tuple>;
using ProfileCall = bool (*const)(int, int, bool, bool, int, int, int, int, int, int, int);
virtual ProfileCall GetImpl() = 0;
void Run(const TestMatrixSizes& lengths = DefaultTestMatrixSizes)
{
bool all_success = true;
for(size_t i = 0; i < lengths.size(); i++)
{
if((param_mask & (1 << i)) == 0)
{
continue;
}
auto& length = lengths[i];
int M = length[0];
int N = length[1];
int K = length[2];
int StrideA = ck::is_same_v<ALayout, Row> ? K : M;
int StrideB = ck::is_same_v<BLayout, Row> ? N : K;
int StrideE = ck::is_same_v<ELayout, Row> ? N : M;
all_success =
all_success &
GetImpl()(1, 1, false, false, M, N, K, StrideA, StrideB, StrideE, instance_index);
}
EXPECT_TRUE(all_success);
}
};
template <typename Tuple>
class TestGemmD0Common : public ::testing::Test
{
protected:
using ADataType = std::tuple_element_t<0, Tuple>;
using BDataType = std::tuple_element_t<1, Tuple>;
using AccDataType = std::tuple_element_t<2, Tuple>;
using D0DataType = std::tuple_element_t<3, Tuple>;
using EDataType = std::tuple_element_t<4, Tuple>;
using ALayout = std::tuple_element_t<5, Tuple>;
using BLayout = std::tuple_element_t<6, Tuple>;
using D0Layout = std::tuple_element_t<7, Tuple>;
using ELayout = std::tuple_element_t<8, Tuple>;
using ProfileCall = bool (*const)(int, int, bool, bool, int, int, int, int, int, int, int, int);
virtual ProfileCall GetImpl() = 0;
void Run(const TestMatrixSizes& lengths = DefaultTestMatrixSizes)
{
bool all_success = true;
for(size_t i = 0; i < lengths.size(); i++)
{
if((param_mask & (1 << i)) == 0)
{
continue;
}
auto& length = lengths[i];
int M = length[0];
int N = length[1];
int K = length[2];
int StrideA = ck::is_same_v<ALayout, Row> ? K : M;
int StrideB = ck::is_same_v<BLayout, Row> ? N : K;
int StrideD0 = ck::is_same_v<D0Layout, Row> ? N : M;
int StrideE = ck::is_same_v<ELayout, Row> ? N : M;
all_success = all_success & GetImpl()(1,
1,
false,
false,
M,
N,
K,
StrideA,
StrideB,
StrideD0,
StrideE,
instance_index);
}
EXPECT_TRUE(all_success);
}
};
template <typename Tuple>
class TestGemmD0D1Common : public ::testing::Test
{
protected:
using ADataType = std::tuple_element_t<0, Tuple>;
using BDataType = std::tuple_element_t<1, Tuple>;
using AccDataType = std::tuple_element_t<2, Tuple>;
using D0DataType = std::tuple_element_t<3, Tuple>;
using D1DataType = std::tuple_element_t<4, Tuple>;
using EDataType = std::tuple_element_t<5, Tuple>;
using ALayout = std::tuple_element_t<6, Tuple>;
using BLayout = std::tuple_element_t<7, Tuple>;
using D0Layout = std::tuple_element_t<8, Tuple>;
using D1Layout = std::tuple_element_t<9, Tuple>;
using ELayout = std::tuple_element_t<10, Tuple>;
using ProfileCall =
bool (*const)(int, int, bool, bool, int, int, int, int, int, int, int, int, int);
virtual ProfileCall GetImpl() = 0;
void Run(const TestMatrixSizes& lengths = DefaultTestMatrixSizes)
{
bool all_success = true;
for(size_t i = 0; i < lengths.size(); i++)
{
if((param_mask & (1 << i)) == 0)
{
continue;
}
auto& length = lengths[i];
int M = length[0];
int N = length[1];
int K = length[2];
int StrideA = ck::is_same_v<ALayout, Row> ? K : M;
int StrideB = ck::is_same_v<BLayout, Row> ? N : K;
int StrideD0 = ck::is_same_v<D0Layout, Row> ? N : M;
int StrideD1 = ck::is_same_v<D1Layout, Row> ? N : M;
int StrideE = ck::is_same_v<ELayout, Row> ? N : M;
all_success = all_success & GetImpl()(1,
1,
false,
false,
M,
N,
K,
StrideA,
StrideB,
StrideD0,
StrideD1,
StrideE,
instance_index);
}
EXPECT_TRUE(all_success);
}
};
int main(int argc, char** argv)
{
testing::InitGoogleTest(&argc, argv);
if(argc == 1) {}
else if(argc == 3)
{
param_mask = strtol(argv[1], nullptr, 0);
instance_index = atoi(argv[2]);
}
else
{
std::cout << "Usage of " << argv[0] << std::endl;
std::cout << "Arg1,2: param_mask instance_index(-1 means all)" << std::endl;
}
return RUN_ALL_TESTS();
}