added tests for gpu::mulSpectrums
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Alexey Spizhevoy
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68aba9f2fb
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da1fb6c50a
202
tests/gpu/src/dft_routines.cpp
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202
tests/gpu/src/dft_routines.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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// Intel License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000, Intel Corporation, all rights reserved.
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// Third party copyrights are property of their respective owners.
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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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// * The name of Intel Corporation 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 "gputest.hpp"
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using namespace cv;
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using namespace cv::gpu;
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using namespace std;
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struct CV_GpuMulSpectrumsTest: CvTest
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{
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CV_GpuMulSpectrumsTest(): CvTest("GPU-MulSpectrumsTest", "mulSpectrums") {}
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void run(int)
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{
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try
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{
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if (!test(1 + rand() % 100, 1 + rand() % 1000)) return;
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if (!testConj(1 + rand() % 100, 1 + rand() % 1000)) return;
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if (!testScaled(1 + rand() % 100, 1 + rand() % 1000)) return;
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if (!testScaledConj(1 + rand() % 100, 1 + rand() % 1000)) return;
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}
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catch (const Exception& e)
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{
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if (!check_and_treat_gpu_exception(e, ts)) throw;
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return;
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}
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}
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void gen(int cols, int rows, Mat& mat)
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{
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RNG rng;
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mat.create(rows, cols, CV_32FC2);
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rng.fill(mat, RNG::UNIFORM, Scalar::all(0.f), Scalar::all(10.f));
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}
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bool cmp(const Mat& gold, const Mat& mine, float max_err=1e-3f)
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{
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if (gold.size() != mine.size())
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{
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ts->printf(CvTS::CONSOLE, "bad sizes: gold: %d d%, mine: %d %d\n", gold.cols, gold.rows, mine.cols, mine.rows);
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
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return false;
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}
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if (gold.type() != mine.type())
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{
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ts->printf(CvTS::CONSOLE, "bad types: gold=%d, mine=%d\n", gold.type(), mine.type());
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
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return false;
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}
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for (int i = 0; i < gold.rows; ++i)
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{
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for (int j = 0; j < gold.cols * 2; ++j)
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{
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float gold_ = gold.at<float>(i, j);
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float mine_ = mine.at<float>(i, j);
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if (fabs(gold_ - mine_) > max_err)
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{
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ts->printf(CvTS::CONSOLE, "bad values at %d %d: gold=%f, mine=%f\n", j, i, gold_, mine_);
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
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return false;
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}
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}
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}
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return true;
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}
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bool cmpScaled(const Mat& gold, const Mat& mine, float scale, float max_err=1e-3f)
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{
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if (gold.size() != mine.size())
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{
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ts->printf(CvTS::CONSOLE, "bad sizes: gold: %d d%, mine: %d %d\n", gold.cols, gold.rows, mine.cols, mine.rows);
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
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return false;
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}
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if (gold.type() != mine.type())
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{
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ts->printf(CvTS::CONSOLE, "bad types: gold=%d, mine=%d\n", gold.type(), mine.type());
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
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return false;
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}
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for (int i = 0; i < gold.rows; ++i)
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{
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for (int j = 0; j < gold.cols * 2; ++j)
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{
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float gold_ = gold.at<float>(i, j) * scale;
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float mine_ = mine.at<float>(i, j);
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if (fabs(gold_ - mine_) > max_err)
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{
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ts->printf(CvTS::CONSOLE, "bad values at %d %d: gold=%f, mine=%f\n", j, i, gold_, mine_);
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ts->set_failed_test_info(CvTS::FAIL_INVALID_OUTPUT);
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return false;
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}
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}
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}
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return true;
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}
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bool test(int cols, int rows)
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{
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Mat a, b;
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gen(cols, rows, a);
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gen(cols, rows, b);
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Mat c_gold;
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mulSpectrums(a, b, c_gold, 0, false);
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GpuMat d_c;
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mulSpectrums(GpuMat(a), GpuMat(b), d_c, 0, false);
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return cmp(c_gold, Mat(d_c))
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|| (ts->printf(CvTS::CONSOLE, "test failed: cols=%d, rows=%d\n", cols, rows), false);
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}
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bool testConj(int cols, int rows)
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{
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Mat a, b;
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gen(cols, rows, a);
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gen(cols, rows, b);
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Mat c_gold;
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mulSpectrums(a, b, c_gold, 0, true);
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GpuMat d_c;
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mulSpectrums(GpuMat(a), GpuMat(b), d_c, 0, true);
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return cmp(c_gold, Mat(d_c))
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|| (ts->printf(CvTS::CONSOLE, "testConj failed: cols=%d, rows=%d\n", cols, rows), false);
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}
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bool testScaled(int cols, int rows)
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{
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Mat a, b;
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gen(cols, rows, a);
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gen(cols, rows, b);
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float scale = 1.f / a.size().area();
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Mat c_gold;
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mulSpectrums(a, b, c_gold, 0, false);
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GpuMat d_c;
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mulAndScaleSpectrums(GpuMat(a), GpuMat(b), d_c, 0, scale, false);
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return cmpScaled(c_gold, Mat(d_c), scale)
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|| (ts->printf(CvTS::CONSOLE, "testScaled failed: cols=%d, rows=%d\n", cols, rows), false);
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}
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bool testScaledConj(int cols, int rows)
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{
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Mat a, b;
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gen(cols, rows, a);
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gen(cols, rows, b);
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float scale = 1.f / a.size().area();
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Mat c_gold;
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mulSpectrums(a, b, c_gold, 0, true);
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GpuMat d_c;
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mulAndScaleSpectrums(GpuMat(a), GpuMat(b), d_c, 0, scale, true);
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return cmpScaled(c_gold, Mat(d_c), scale)
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}
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} CV_GpuMulSpectrumsTest_inst;
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