tests
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Ilya Lavrenov
276
modules/ocl/perf/perf_stat.cpp
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276
modules/ocl/perf/perf_stat.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, fangfang@multicorewareinc.com
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// Jin Ma, jin@multicorewareinc.com
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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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using namespace perf;
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using std::tr1::tuple;
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using std::tr1::get;
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///////////// MinMax ////////////////////////
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typedef Size_MatType MinMaxFixture;
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PERF_TEST_P(MinMaxFixture, MinMax,
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::testing::Combine(OCL_TYPICAL_MAT_SIZES,
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OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params);
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Mat src(srcSize, type);
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declare.in(src, WARMUP_RNG);
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double min_val = std::numeric_limits<double>::max(),
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max_val = std::numeric_limits<double>::min();
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclSrc(src);
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OCL_TEST_CYCLE() cv::ocl::minMax(oclSrc, &min_val, &max_val);
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ASSERT_GE(max_val, min_val);
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SANITY_CHECK(min_val);
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SANITY_CHECK(max_val);
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}
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else if (RUN_PLAIN_IMPL)
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{
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Point min_loc, max_loc;
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TEST_CYCLE() cv::minMaxLoc(src, &min_val, &max_val, &min_loc, &max_loc);
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ASSERT_GE(max_val, min_val);
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SANITY_CHECK(min_val);
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SANITY_CHECK(max_val);
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}
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else
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OCL_PERF_ELSE
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}
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///////////// MinMaxLoc ////////////////////////
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typedef Size_MatType MinMaxLocFixture;
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OCL_PERF_TEST_P(MinMaxLocFixture, MinMaxLoc,
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::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params);
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Mat src(srcSize, type);
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randu(src, 0, 1);
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declare.in(src);
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double min_val = 0.0, max_val = 0.0;
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Point min_loc, max_loc;
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclSrc(src);
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OCL_TEST_CYCLE() cv::ocl::minMaxLoc(oclSrc, &min_val, &max_val, &min_loc, &max_loc);
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ASSERT_GE(max_val, min_val);
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SANITY_CHECK(min_val);
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SANITY_CHECK(max_val);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() cv::minMaxLoc(src, &min_val, &max_val, &min_loc, &max_loc);
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ASSERT_GE(max_val, min_val);
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SANITY_CHECK(min_val);
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SANITY_CHECK(max_val);
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}
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else
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OCL_PERF_ELSE
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}
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///////////// Sum ////////////////////////
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typedef Size_MatType SumFixture;
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OCL_PERF_TEST_P(SumFixture, Sum,
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::testing::Combine(OCL_TEST_SIZES,
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OCL_TEST_TYPES))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params);
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Mat src(srcSize, type);
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Scalar result;
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randu(src, 0, 60);
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declare.in(src);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclSrc(src);
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OCL_TEST_CYCLE() result = cv::ocl::sum(oclSrc);
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SANITY_CHECK(result, 1e-6, ERROR_RELATIVE);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() result = cv::sum(src);
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SANITY_CHECK(result, 1e-6, ERROR_RELATIVE);
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}
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else
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OCL_PERF_ELSE
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}
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///////////// countNonZero ////////////////////////
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typedef Size_MatType CountNonZeroFixture;
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OCL_PERF_TEST_P(CountNonZeroFixture, CountNonZero,
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::testing::Combine(OCL_TEST_SIZES,
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OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params);
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Mat src(srcSize, type);
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int result = 0;
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randu(src, 0, 256);
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declare.in(src);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclSrc(src);
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OCL_TEST_CYCLE() result = cv::ocl::countNonZero(oclSrc);
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SANITY_CHECK(result);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() result = cv::countNonZero(src);
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SANITY_CHECK(result);
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}
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else
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OCL_PERF_ELSE
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}
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///////////// meanStdDev ////////////////////////
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typedef Size_MatType MeanStdDevFixture;
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OCL_PERF_TEST_P(MeanStdDevFixture, MeanStdDev,
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES))
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{
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const Size_MatType_t params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params);
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Mat src(srcSize, type);
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Scalar mean, stddev;
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randu(src, 0, 256);
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declare.in(src);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclSrc(src);
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OCL_TEST_CYCLE() cv::ocl::meanStdDev(oclSrc, mean, stddev);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() cv::meanStdDev(src, mean, stddev);
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}
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else
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OCL_PERF_ELSE
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SANITY_CHECK_NOTHING();
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// SANITY_CHECK(mean, 1e-6, ERROR_RELATIVE);
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// SANITY_CHECK(stddev, 1e-6, ERROR_RELATIVE);
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}
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///////////// norm////////////////////////
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CV_ENUM(NormType, NORM_INF, NORM_L1, NORM_L2)
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typedef std::tr1::tuple<Size, MatType, NormType> NormParams;
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typedef TestBaseWithParam<NormParams> NormFixture;
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OCL_PERF_TEST_P(NormFixture, Norm,
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::testing::Combine(OCL_PERF_ENUM(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
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OCL_TEST_TYPES, NormType::all()))
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{
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const NormParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params);
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const int normType = get<2>(params);
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perf::ERROR_TYPE errorType = type != NORM_INF ? ERROR_RELATIVE : ERROR_ABSOLUTE;
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double eps = 1e-5, value;
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Mat src1(srcSize, type), src2(srcSize, type);
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declare.in(src1, src2, WARMUP_RNG);
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if (RUN_OCL_IMPL)
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{
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ocl::oclMat oclSrc1(src1), oclSrc2(src2);
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OCL_TEST_CYCLE() value = cv::ocl::norm(oclSrc1, oclSrc2, normType);
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SANITY_CHECK(value, eps, errorType);
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}
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else if (RUN_PLAIN_IMPL)
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{
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TEST_CYCLE() value = cv::norm(src1, src2, normType);
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SANITY_CHECK(value, eps, errorType);
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}
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else
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OCL_PERF_ELSE
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}
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