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56 lines
1.7 KiB
56 lines
1.7 KiB
/* |
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* Copyright (c) 2024 Qualcomm Innovation Center, Inc. All rights reserved. |
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* SPDX-License-Identifier: Apache-2.0 |
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*/ |
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#include "test_precomp.hpp" |
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namespace opencv_test { namespace { |
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typedef std::tuple<int /*rows1*/, int /*cols1*/, int /*cols2*/> MatMulTestParams; |
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class MatMulTest : public ::testing::TestWithParam<MatMulTestParams> {}; |
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TEST_P(MatMulTest, accuracy) |
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{ |
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auto p = GetParam(); |
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int rows1 = std::get<0>(p); |
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int cols1 = std::get<1>(p); |
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int cols2 = std::get<2>(p); |
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RNG& rng = cv::theRNG(); |
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Mat src1(rows1, cols1, CV_8SC1), src2(cols1, cols2, CV_8SC1); |
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cvtest::randUni(rng, src1, Scalar::all(-128), Scalar::all(128)); |
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cvtest::randUni(rng, src2, Scalar::all(-128), Scalar::all(128)); |
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Mat dst; |
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cv::fastcv::matmuls8s32(src1, src2, dst); |
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Mat fdst; |
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dst.convertTo(fdst, CV_32F); |
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Mat fsrc1, fsrc2; |
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src1.convertTo(fsrc1, CV_32F); |
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src2.convertTo(fsrc2, CV_32F); |
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Mat ref; |
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cv::gemm(fsrc1, fsrc2, 1.0, noArray(), 0, ref, 0); |
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double normInf = cvtest::norm(ref, fdst, cv::NORM_INF); |
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double normL2 = cvtest::norm(ref, fdst, cv::NORM_L2); |
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EXPECT_EQ(normInf, 0); |
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EXPECT_EQ(normL2, 0); |
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if (cvtest::debugLevel > 0 && (normInf > 0 || normL2 > 0)) |
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{ |
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std::ofstream of(cv::format("out_%d_%d_%d.txt", rows1, cols1, cols2)); |
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of << ref << std::endl; |
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of << dst << std::endl; |
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of.close(); |
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} |
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} |
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INSTANTIATE_TEST_CASE_P(FastCV_Extension, MatMulTest, |
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::testing::Combine(::testing::Values(8, 16, 128, 256), // rows1 |
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::testing::Values(8, 16, 128, 256), // cols1 |
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::testing::Values(8, 16, 128, 256))); // cols2 |
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}} // namespaces opencv_test, ::
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