mirror of
https://github.com/opencv/opencv_contrib.git
synced 2025-10-20 12:55:15 +08:00
385bd6f35c
FastCV extension 3rd Post #3891 Adding FastCV extensions for merge, split, gemm and arithm APIs add, subtract ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
74 lines
2.1 KiB
C++
74 lines
2.1 KiB
C++
/*
|
|
* Copyright (c) 2024-2025 Qualcomm Innovation Center, Inc. All rights reserved.
|
|
* SPDX-License-Identifier: Apache-2.0
|
|
*/
|
|
|
|
#include "perf_precomp.hpp"
|
|
|
|
namespace opencv_test {
|
|
|
|
typedef std::tuple<int /*rows1*/, int /*cols1*/, int /*cols2*/> MatMulPerfParams;
|
|
typedef perf::TestBaseWithParam<MatMulPerfParams> MatMulPerfTest;
|
|
|
|
typedef std::tuple<int /*rows1*/, int /*cols1*/, int /*cols2*/, float> MatMulGemmPerfParams;
|
|
typedef perf::TestBaseWithParam<MatMulGemmPerfParams> MatMulGemmPerfTest;
|
|
|
|
PERF_TEST_P(MatMulPerfTest, run,
|
|
::testing::Combine(::testing::Values(8, 16, 128, 256), // rows1
|
|
::testing::Values(8, 16, 128, 256), // cols1
|
|
::testing::Values(8, 16, 128, 256)) // cols2
|
|
)
|
|
{
|
|
auto p = GetParam();
|
|
int rows1 = std::get<0>(p);
|
|
int cols1 = std::get<1>(p);
|
|
int cols2 = std::get<2>(p);
|
|
|
|
RNG& rng = cv::theRNG();
|
|
Mat src1(rows1, cols1, CV_8SC1), src2(cols1, cols2, CV_8SC1);
|
|
cvtest::randUni(rng, src1, Scalar::all(-128), Scalar::all(128));
|
|
cvtest::randUni(rng, src2, Scalar::all(-128), Scalar::all(128));
|
|
|
|
Mat dst;
|
|
while(next())
|
|
{
|
|
startTimer();
|
|
cv::fastcv::matmuls8s32(src1, src2, dst);
|
|
stopTimer();
|
|
}
|
|
|
|
SANITY_CHECK_NOTHING();
|
|
}
|
|
|
|
PERF_TEST_P(MatMulGemmPerfTest, run,
|
|
::testing::Combine(::testing::Values(8, 16, 128, 256), // rows1
|
|
::testing::Values(8, 16, 128, 256), // cols1
|
|
::testing::Values(8, 16, 128, 256), // cols2
|
|
::testing::Values(2.5, 5.8)) // alpha
|
|
)
|
|
{
|
|
auto p = GetParam();
|
|
int rows1 = std::get<0>(p);
|
|
int cols1 = std::get<1>(p);
|
|
int cols2 = std::get<2>(p);
|
|
float alpha = std::get<3>(p);
|
|
|
|
RNG& rng = cv::theRNG();
|
|
Mat src1(rows1, cols1, CV_32FC1), src2(cols1, cols2, CV_32FC1);
|
|
cvtest::randUni(rng, src1, Scalar::all(-128.0), Scalar::all(128.0));
|
|
cvtest::randUni(rng, src2, Scalar::all(-128.0), Scalar::all(128.0));
|
|
|
|
Mat dst;
|
|
|
|
while (next())
|
|
{
|
|
startTimer();
|
|
cv::fastcv::gemm(src1, src2, dst, alpha, noArray(), 0);
|
|
stopTimer();
|
|
}
|
|
|
|
SANITY_CHECK_NOTHING();
|
|
}
|
|
|
|
} // namespace
|