mirror of
https://github.com/opencv/opencv_contrib.git
synced 2025-10-19 19:44:14 +08:00
2c7591c57f
Depends on https://github.com/opencv/opencv/pull/26316 ### 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
57 lines
1.7 KiB
C++
57 lines
1.7 KiB
C++
/*
|
|
* Copyright (c) 2024 Qualcomm Innovation Center, Inc. All rights reserved.
|
|
* SPDX-License-Identifier: Apache-2.0
|
|
*/
|
|
|
|
#include "test_precomp.hpp"
|
|
|
|
namespace opencv_test { namespace {
|
|
|
|
typedef std::tuple<int /*rows1*/, int /*cols1*/, int /*cols2*/> MatMulTestParams;
|
|
class MatMulTest : public ::testing::TestWithParam<MatMulTestParams> {};
|
|
|
|
TEST_P(MatMulTest, accuracy)
|
|
{
|
|
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;
|
|
cv::fastcv::matmuls8s32(src1, src2, dst);
|
|
Mat fdst;
|
|
dst.convertTo(fdst, CV_32F);
|
|
|
|
Mat fsrc1, fsrc2;
|
|
src1.convertTo(fsrc1, CV_32F);
|
|
src2.convertTo(fsrc2, CV_32F);
|
|
Mat ref;
|
|
cv::gemm(fsrc1, fsrc2, 1.0, noArray(), 0, ref, 0);
|
|
|
|
double normInf = cvtest::norm(ref, fdst, cv::NORM_INF);
|
|
double normL2 = cvtest::norm(ref, fdst, cv::NORM_L2);
|
|
|
|
EXPECT_EQ(normInf, 0);
|
|
EXPECT_EQ(normL2, 0);
|
|
|
|
if (cvtest::debugLevel > 0 && (normInf > 0 || normL2 > 0))
|
|
{
|
|
std::ofstream of(cv::format("out_%d_%d_%d.txt", rows1, cols1, cols2));
|
|
of << ref << std::endl;
|
|
of << dst << std::endl;
|
|
of.close();
|
|
}
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(FastCV_Extension, MatMulTest,
|
|
::testing::Combine(::testing::Values(8, 16, 128, 256), // rows1
|
|
::testing::Values(8, 16, 128, 256), // cols1
|
|
::testing::Values(8, 16, 128, 256))); // cols2
|
|
|
|
}} // namespaces opencv_test, ::
|