test_gemm.cpp 3.34 KB
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
//  By downloading, copying, installing or using the software you agree to this license.
//  If you do not agree to this license, do not download, install,
//  copy or use the software.
//
//
//                           License Agreement
//                For Open Source Computer Vision Library
//
// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// @Authors
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//    Peng Xiao, pengxiao@multicorewareinc.com
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// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
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//   * Redistribution's of source code must retain the above copyright notice,
//     this list of conditions and the following disclaimer.
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//   * Redistribution's in binary form must reproduce the above copyright notice,
//     this list of conditions and the following disclaimer in the documentation
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//   * The name of the copyright holders may not be used to endorse or promote products
//     derived from this software without specific prior written permission.
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// This software is provided by the copyright holders and contributors as is and
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//M*/

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#include "test_precomp.hpp"
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using namespace std;
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////////////////////////////////////////////////////////////////////////////
// GEMM
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PARAM_TEST_CASE(Gemm, int, cv::Size, int)
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{
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    int      type;
    cv::Size mat_size;
    int		 flags;

    virtual void SetUp()
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    {
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        type     = GET_PARAM(0);
        mat_size = GET_PARAM(1);
        flags    = GET_PARAM(2);
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    }
};

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OCL_TEST_P(Gemm, Accuracy)
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{
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    cv::Mat a = randomMat(mat_size, type, 0.0, 10.0);
    cv::Mat b = randomMat(mat_size, type, 0.0, 10.0);
    cv::Mat c = randomMat(mat_size, type, 0.0, 10.0);
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    cv::Mat dst;
    cv::ocl::oclMat ocl_dst;
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    cv::gemm(a, b, 1.0, c, 1.0, dst, flags);
    cv::ocl::gemm(cv::ocl::oclMat(a), cv::ocl::oclMat(b), 1.0, cv::ocl::oclMat(c), 1.0, ocl_dst, flags);
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    EXPECT_MAT_NEAR(dst, ocl_dst, mat_size.area() * 1e-4);
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}

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INSTANTIATE_TEST_CASE_P(ocl_gemm, Gemm, testing::Combine(
                            testing::Values(CV_32FC1, CV_32FC2/*, CV_64FC1, CV_64FC2*/),
                            testing::Values(cv::Size(20, 20), cv::Size(300, 300)),
                            testing::Values(0, (int)cv::GEMM_1_T, (int)cv::GEMM_2_T, (int)(cv::GEMM_1_T + cv::GEMM_2_T))));