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Add fp32 and bf16 tests (#487)

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[ROCm/composable_kernel commit: 3727d00bf2]
This commit is contained in:
Rostyslav Geyyer
2022-10-27 20:02:04 -05:00
committed by GitHub
parent 606b36c900
commit ba30a511c3
3 changed files with 96 additions and 0 deletions
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8
test/batched_gemm/CMakeLists.txt
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@@ -2,6 +2,14 @@ add_test_executable(test_batched_gemm_fp16 batched_gemm_fp16.cpp)
target_link_libraries(test_batched_gemm_fp16 PRIVATE utility)
target_link_libraries(test_batched_gemm_fp16 PRIVATE device_batched_gemm_instance)
add_test_executable(test_batched_gemm_fp32 batched_gemm_fp32.cpp)
target_link_libraries(test_batched_gemm_fp32 PRIVATE utility)
target_link_libraries(test_batched_gemm_fp32 PRIVATE device_batched_gemm_instance)
add_test_executable(test_batched_gemm_bf16 batched_gemm_bf16.cpp)
target_link_libraries(test_batched_gemm_bf16 PRIVATE utility)
target_link_libraries(test_batched_gemm_bf16 PRIVATE device_batched_gemm_instance)
add_test_executable(test_batched_gemm_int8 batched_gemm_int8.cpp)
target_link_libraries(test_batched_gemm_int8 PRIVATE utility)
target_link_libraries(test_batched_gemm_int8 PRIVATE device_batched_gemm_instance)

44
test/batched_gemm/batched_gemm_bf16.cpp Normal file
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@@ -0,0 +1,44 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include "profiler/include/profile_batched_gemm_impl.hpp"
namespace {
using ADataType = ck::bhalf_t;
using BDataType = ck::bhalf_t;
using CDataType = ck::bhalf_t;
using Row = ck::tensor_layout::gemm::RowMajor;
using Col = ck::tensor_layout::gemm::ColumnMajor;
} // namespace
int main()
{
int M = 256;
int N = 256;
int K = 128;
int BatchCount = 3;
bool pass = true;
pass = pass &&
ck::profiler::profile_batched_gemm_impl<ADataType, BDataType, CDataType, Row, Row, Row>(
true, 1, false, 1, M, N, K, K, N, N, M * K, K * N, M * N, BatchCount);
pass = pass &&
ck::profiler::profile_batched_gemm_impl<ADataType, BDataType, CDataType, Row, Col, Row>(
true, 1, false, 1, M, N, K, K, K, N, M * K, K * N, M * N, BatchCount);
pass = pass &&
ck::profiler::profile_batched_gemm_impl<ADataType, BDataType, CDataType, Col, Row, Row>(
true, 1, false, 1, M, N, K, M, N, N, M * K, K * N, M * N, BatchCount);
pass = pass &&
ck::profiler::profile_batched_gemm_impl<ADataType, BDataType, CDataType, Col, Col, Row>(
true, 1, false, 1, M, N, K, M, K, N, M * K, K * N, M * N, BatchCount);
std::cout << "test BatchedGEMM bf16: " << (pass ? "Pass" : "Fail") << std::endl;
return pass ? 0 : 1;
}

44
test/batched_gemm/batched_gemm_fp32.cpp Normal file
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@@ -0,0 +1,44 @@
// SPDX-License-Identifier: MIT
// Copyright (c) 2018-2022, Advanced Micro Devices, Inc. All rights reserved.
#include <iostream>
#include "profiler/include/profile_batched_gemm_impl.hpp"
namespace {
using ADataType = float;
using BDataType = float;
using CDataType = float;
using Row = ck::tensor_layout::gemm::RowMajor;
using Col = ck::tensor_layout::gemm::ColumnMajor;
} // namespace
int main()
{
int M = 256;
int N = 256;
int K = 128;
int BatchCount = 3;
bool pass = true;
pass = pass &&
ck::profiler::profile_batched_gemm_impl<ADataType, BDataType, CDataType, Row, Row, Row>(
true, 1, false, 1, M, N, K, K, N, N, M * K, K * N, M * N, BatchCount);
pass = pass &&
ck::profiler::profile_batched_gemm_impl<ADataType, BDataType, CDataType, Row, Col, Row>(
true, 1, false, 1, M, N, K, K, K, N, M * K, K * N, M * N, BatchCount);
pass = pass &&
ck::profiler::profile_batched_gemm_impl<ADataType, BDataType, CDataType, Col, Row, Row>(
true, 1, false, 1, M, N, K, M, N, N, M * K, K * N, M * N, BatchCount);
pass = pass &&
ck::profiler::profile_batched_gemm_impl<ADataType, BDataType, CDataType, Col, Col, Row>(
true, 1, false, 1, M, N, K, M, K, N, M * K, K * N, M * N, BatchCount);
std::cout << "test BatchedGEMM fp32: " << (pass ? "Pass" : "Fail") << std::endl;
return pass ? 0 : 1;
}