opencv/modules/ocl/perf/perf_pyramid.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
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// and/or other materials provided with the distribution.
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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.
//
// 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
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
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// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
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//
//M*/
#include "perf_precomp.hpp"
using namespace perf;
using std::tr1::tuple;
using std::tr1::get;
///////////// pyrDown //////////////////////
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typedef Size_MatType PyrDownFixture;
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OCL_PERF_TEST_P(PyrDownFixture, PyrDown,
::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
Size dstSize((srcSize.height + 1) >> 1, (srcSize.width + 1) >> 1);
checkDeviceMaxMemoryAllocSize(srcSize, type);
checkDeviceMaxMemoryAllocSize(dstSize, type);
Mat src(srcSize, type), dst;
dst.create(dstSize, type);
declare.in(src, WARMUP_RNG).out(dst);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src), oclDst(dstSize, type);
OCL_TEST_CYCLE() ocl::pyrDown(oclSrc, oclDst);
oclDst.download(dst);
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SANITY_CHECK(dst, 5e-4);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() pyrDown(src, dst);
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SANITY_CHECK(dst);
}
else
OCL_PERF_ELSE
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}
///////////// pyrUp ////////////////////////
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typedef Size_MatType PyrUpFixture;
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OCL_PERF_TEST_P(PyrUpFixture, PyrUp,
::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
Size dstSize(srcSize.height << 1, srcSize.width << 1);
checkDeviceMaxMemoryAllocSize(srcSize, type);
checkDeviceMaxMemoryAllocSize(dstSize, type);
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Mat src(srcSize, type), dst;
dst.create(dstSize, type);
declare.in(src, WARMUP_RNG).out(dst);
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if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src), oclDst(dstSize, type);
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OCL_TEST_CYCLE() ocl::pyrDown(oclSrc, oclDst);
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oclDst.download(dst);
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SANITY_CHECK(dst, 5e-4);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() pyrDown(src, dst);
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SANITY_CHECK(dst);
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}
else
OCL_PERF_ELSE
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}