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Tetragramm
GitHub Repository: Tetragramm/opencv
Path: blob/master/modules/core/perf/opencl/perf_dxt.cpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2010-2012, Multicoreware, Inc., all rights reserved.
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// Copyright (C) 2010-2012, Advanced Micro Devices, Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// @Authors
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// Fangfang Bai, [email protected]
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// Jin Ma, [email protected]
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors as is and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "../perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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#ifdef HAVE_OPENCL
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namespace opencv_test {
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namespace ocl {
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///////////// dft ////////////////////////
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enum OCL_FFT_TYPE
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{
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R2R = 0,
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C2R = 1,
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R2C = 2,
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C2C = 3
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};
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typedef tuple<OCL_FFT_TYPE, Size, int> DftParams;
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typedef TestBaseWithParam<DftParams> DftFixture;
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OCL_PERF_TEST_P(DftFixture, Dft, ::testing::Combine(Values(C2C, R2R, C2R, R2C),
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Values(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3, Size(512, 512), Size(1024, 1024), Size(2048, 2048)),
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Values((int) 0, (int)DFT_ROWS, (int)DFT_SCALE, (int)DFT_INVERSE,
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(int)DFT_INVERSE | DFT_SCALE, (int)DFT_ROWS | DFT_INVERSE)))
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{
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const DftParams params = GetParam();
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const int dft_type = get<0>(params);
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const Size srcSize = get<1>(params);
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int flags = get<2>(params);
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int in_cn = 0, out_cn = 0;
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switch (dft_type)
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{
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case R2R: flags |= cv::DFT_REAL_OUTPUT; in_cn = 1; out_cn = 1; break;
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case C2R: flags |= cv::DFT_REAL_OUTPUT; in_cn = 2; out_cn = 2; break;
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case R2C: flags |= cv::DFT_COMPLEX_OUTPUT; in_cn = 1; out_cn = 2; break;
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case C2C: flags |= cv::DFT_COMPLEX_OUTPUT; in_cn = 2; out_cn = 2; break;
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}
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UMat src(srcSize, CV_MAKE_TYPE(CV_32F, in_cn)), dst(srcSize, CV_MAKE_TYPE(CV_32F, out_cn));
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::dft(src, dst, flags);
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SANITY_CHECK(dst, 1e-5, ERROR_RELATIVE);
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}
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///////////// MulSpectrums ////////////////////////
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typedef tuple<Size, bool> MulSpectrumsParams;
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typedef TestBaseWithParam<MulSpectrumsParams> MulSpectrumsFixture;
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OCL_PERF_TEST_P(MulSpectrumsFixture, MulSpectrums,
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::testing::Combine(Values(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
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Bool()))
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{
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const MulSpectrumsParams params = GetParam();
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const Size srcSize = get<0>(params);
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const bool conj = get<1>(params);
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UMat src1(srcSize, CV_32FC2), src2(srcSize, CV_32FC2), dst(srcSize, CV_32FC2);
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declare.in(src1, src2, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::mulSpectrums(src1, src2, dst, 0, conj);
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SANITY_CHECK(dst, 1e-3);
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}
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} } // namespace opencv_test::ocl
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#endif // HAVE_OPENCL
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