opencv/modules/ocl/perf/perf_norm.cpp

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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
// Fangfang Bai, fangfang@multicorewareinc.com
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// Jin Ma, jin@multicorewareinc.com
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
//
// * Redistribution's in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other oclMaterials provided with the distribution.
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// 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
// any express or implied warranties, including, but not limited to, the implied
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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//
//M*/
#include "perf_precomp.hpp"
using namespace perf;
using std::tr1::tuple;
using std::tr1::get;
///////////// norm////////////////////////
typedef TestBaseWithParam<Size> normFixture;
PERF_TEST_P(normFixture, DISABLED_norm, OCL_TYPICAL_MAT_SIZES) // TODO doesn't work properly
{
const Size srcSize = GetParam();
const std::string impl = getSelectedImpl();
double value = 0.0;
Mat src1(srcSize, CV_8UC1), src2(srcSize, CV_8UC1);
declare.in(src1, src2);
randu(src1, 0, 1);
randu(src2, 0, 1);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc1(src1), oclSrc2(src2);
OCL_TEST_CYCLE() value = cv::ocl::norm(oclSrc1, oclSrc2, NORM_INF);
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SANITY_CHECK(value);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() value = cv::norm(src1, src2, NORM_INF);
SANITY_CHECK(value);
}
else
OCL_PERF_ELSE
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}