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opencv/modules/ocl/perf/perf_arithm.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
// 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.
//
// * 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,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/
#include "perf_precomp.hpp"
using namespace perf;
using std::tr1::get;
using std::tr1::tuple;
///////////// Lut ////////////////////////
typedef Size_MatType LUTFixture;
PERF_TEST_P(LUTFixture, LUT,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_8UC3)))
{
// getting params
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
// creating src data
Mat src(srcSize, type), lut(1, 256, CV_8UC1);
int dstType = CV_MAKETYPE(lut.depth(), src.channels());
Mat dst(srcSize, dstType);
randu(lut, 0, 2);
declare.in(src, WARMUP_RNG).in(lut).out(dst);
// select implementation
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src), oclLut(lut), oclDst(srcSize, dstType);
OCL_TEST_CYCLE() cv::ocl::LUT(oclSrc, oclLut, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::LUT(src, lut, dst);
SANITY_CHECK(dst);
}
else
OCL_PERF_ELSE
}
///////////// Exp ////////////////////////
typedef TestBaseWithParam<Size> ExpFixture;
PERF_TEST_P(ExpFixture, Exp, OCL_TYPICAL_MAT_SIZES)
{
// getting params
const Size srcSize = GetParam();
const double eps = 3e-1;
// creating src data
Mat src(srcSize, CV_32FC1), dst(srcSize, CV_32FC1);
declare.in(src).out(dst);
randu(src, 5, 16);
// select implementation
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src), oclDst(srcSize, src.type());
OCL_TEST_CYCLE() cv::ocl::exp(oclSrc, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst, eps);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::exp(src, dst);
SANITY_CHECK(dst, eps);
}
else
OCL_PERF_ELSE
}
///////////// LOG ////////////////////////
typedef TestBaseWithParam<Size> LogFixture;
PERF_TEST_P(LogFixture, Log, OCL_TYPICAL_MAT_SIZES)
{
// getting params
const Size srcSize = GetParam();
const double eps = 1e-5;
// creating src data
Mat src(srcSize, CV_32F), dst(srcSize, src.type());
randu(src, 1, 10);
declare.in(src).out(dst);
if (srcSize == OCL_SIZE_4000)
declare.time(3.6);
// select implementation
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src), oclDst(srcSize, src.type());
OCL_TEST_CYCLE() cv::ocl::log(oclSrc, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst, eps);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::log(src, dst);
SANITY_CHECK(dst, eps);
}
else
OCL_PERF_ELSE
}
///////////// Add ////////////////////////
typedef Size_MatType AddFixture;
PERF_TEST_P(AddFixture, Add,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
{
// getting params
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
// creating src data
Mat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
randu(src1, 0, 1);
randu(src2, 0, 1);
declare.in(src1, src2).out(dst);
// select implementation
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc1(src1), oclSrc2(src2), oclDst(srcSize, type);
OCL_TEST_CYCLE() cv::ocl::add(oclSrc1, oclSrc2, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::add(src1, src2, dst);
SANITY_CHECK(dst);
}
else
OCL_PERF_ELSE
}
///////////// Mul ////////////////////////
typedef Size_MatType MulFixture;
PERF_TEST_P(MulFixture, Mul, ::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_8UC4)))
{
// getting params
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
// creating src data
Mat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
randu(src1, 0, 256);
randu(src2, 0, 256);
declare.in(src1, src2).out(dst);
// select implementation
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc1(src1), oclSrc2(src2), oclDst(srcSize, type);
OCL_TEST_CYCLE() cv::ocl::multiply(oclSrc1, oclSrc2, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::multiply(src1, src2, dst);
SANITY_CHECK(dst);
}
else
OCL_PERF_ELSE
}
///////////// Div ////////////////////////
typedef Size_MatType DivFixture;
PERF_TEST_P(DivFixture, Div,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_8UC4)))
{
// getting params
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
// creating src data
Mat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
declare.in(src1, src2).out(dst);
randu(src1, 0, 256);
randu(src2, 0, 256);
if ((srcSize == OCL_SIZE_4000 && type == CV_8UC1) ||
(srcSize == OCL_SIZE_2000 && type == CV_8UC4))
declare.time(4.2);
else if (srcSize == OCL_SIZE_4000 && type == CV_8UC4)
declare.time(16.6);
// select implementation
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc1(src1), oclSrc2(src2), oclDst(srcSize, type);
OCL_TEST_CYCLE() cv::ocl::divide(oclSrc1, oclSrc2, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::divide(src1, src2, dst);
SANITY_CHECK(dst);
}
else
OCL_PERF_ELSE
}
///////////// Absdiff ////////////////////////
typedef Size_MatType AbsDiffFixture;
PERF_TEST_P(AbsDiffFixture, Absdiff,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_8UC4)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
Mat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
declare.in(src1, src2).in(dst);
randu(src1, 0, 256);
randu(src2, 0, 256);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc1(src1), oclSrc2(src2), oclDst(srcSize, type);
OCL_TEST_CYCLE() cv::ocl::absdiff(oclSrc1, oclSrc2, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::absdiff(src1, src2, dst);
SANITY_CHECK(dst);
}
else
OCL_PERF_ELSE
}
///////////// CartToPolar ////////////////////////
typedef TestBaseWithParam<Size> CartToPolarFixture;
PERF_TEST_P(CartToPolarFixture, CartToPolar, OCL_TYPICAL_MAT_SIZES)
{
const Size srcSize = GetParam();
const double eps = 8e-3;
Mat src1(srcSize, CV_32FC1), src2(srcSize, CV_32FC1),
dst1(srcSize, CV_32FC1), dst2(srcSize, CV_32FC1);
declare.in(src1, src2).out(dst1, dst2);
randu(src1, 0, 256);
randu(src2, 0, 256);
if (srcSize == OCL_SIZE_4000)
declare.time(3.6);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc1(src1), oclSrc2(src2),
oclDst1(srcSize, src1.type()), oclDst2(srcSize, src1.type());
OCL_TEST_CYCLE() cv::ocl::cartToPolar(oclSrc1, oclSrc2, oclDst1, oclDst2);
oclDst1.download(dst1);
oclDst2.download(dst2);
SANITY_CHECK(dst1, eps);
SANITY_CHECK(dst2, eps);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::cartToPolar(src1, src2, dst1, dst2);
SANITY_CHECK(dst1, eps);
SANITY_CHECK(dst2, eps);
}
else
OCL_PERF_ELSE
}
///////////// PolarToCart ////////////////////////
typedef TestBaseWithParam<Size> PolarToCartFixture;
PERF_TEST_P(PolarToCartFixture, PolarToCart, OCL_TYPICAL_MAT_SIZES)
{
const Size srcSize = GetParam();
Mat src1(srcSize, CV_32FC1), src2(srcSize, CV_32FC1),
dst1(srcSize, CV_32FC1), dst2(srcSize, CV_32FC1);
declare.in(src1, src2).out(dst1, dst2);
randu(src1, 0, 256);
randu(src2, 0, 256);
if (srcSize == OCL_SIZE_4000)
declare.time(5.4);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc1(src1), oclSrc2(src2),
oclDst1(srcSize, src1.type()), oclDst2(srcSize, src1.type());
OCL_TEST_CYCLE() cv::ocl::polarToCart(oclSrc1, oclSrc2, oclDst1, oclDst2);
oclDst1.download(dst1);
oclDst2.download(dst2);
SANITY_CHECK(dst1, 5e-5);
SANITY_CHECK(dst2, 5e-5);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::polarToCart(src1, src2, dst1, dst2);
SANITY_CHECK(dst1, 5e-5);
SANITY_CHECK(dst2, 5e-5);
}
else
OCL_PERF_ELSE
}
///////////// Magnitude ////////////////////////
typedef TestBaseWithParam<Size> MagnitudeFixture;
PERF_TEST_P(MagnitudeFixture, Magnitude, OCL_TYPICAL_MAT_SIZES)
{
const Size srcSize = GetParam();
Mat src1(srcSize, CV_32FC1), src2(srcSize, CV_32FC1),
dst(srcSize, CV_32FC1);
randu(src1, 0, 1);
randu(src2, 0, 1);
declare.in(src1, src2).out(dst);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc1(src1), oclSrc2(src2),
oclDst(srcSize, src1.type());
OCL_TEST_CYCLE() cv::ocl::magnitude(oclSrc1, oclSrc2, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst, 1e-6);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::magnitude(src1, src2, dst);
SANITY_CHECK(dst, 1e-6);
}
else
OCL_PERF_ELSE
}
///////////// Transpose ////////////////////////
typedef Size_MatType TransposeFixture;
PERF_TEST_P(TransposeFixture, Transpose,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_8UC4)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
Mat src(srcSize, type), dst(srcSize, type);
declare.in(src, WARMUP_RNG).out(dst);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src), oclDst(srcSize, type);
OCL_TEST_CYCLE() cv::ocl::transpose(oclSrc, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::transpose(src, dst);
SANITY_CHECK(dst);
}
else
OCL_PERF_ELSE
}
///////////// Flip ////////////////////////
typedef Size_MatType FlipFixture;
PERF_TEST_P(FlipFixture, Flip,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_8UC4)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
Mat src(srcSize, type), dst(srcSize, type);
declare.in(src, WARMUP_RNG).out(dst);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src), oclDst(srcSize, type);
OCL_TEST_CYCLE() cv::ocl::flip(oclSrc, oclDst, 0);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::flip(src, dst, 0);
SANITY_CHECK(dst);
}
else
OCL_PERF_ELSE
}
///////////// minMax ////////////////////////
typedef Size_MatType minMaxFixture;
PERF_TEST_P(minMaxFixture, minMax,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
Mat src(srcSize, type);
declare.in(src, WARMUP_RNG);
double min_val = std::numeric_limits<double>::max(),
max_val = std::numeric_limits<double>::min();
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src);
OCL_TEST_CYCLE() cv::ocl::minMax(oclSrc, &min_val, &max_val);
ASSERT_GE(max_val, min_val);
SANITY_CHECK(min_val);
SANITY_CHECK(max_val);
}
else if (RUN_PLAIN_IMPL)
{
Point min_loc, max_loc;
TEST_CYCLE() cv::minMaxLoc(src, &min_val, &max_val, &min_loc, &max_loc);
ASSERT_GE(max_val, min_val);
SANITY_CHECK(min_val);
SANITY_CHECK(max_val);
}
else
OCL_PERF_ELSE
}
///////////// minMaxLoc ////////////////////////
typedef Size_MatType minMaxLocFixture;
PERF_TEST_P(minMaxLocFixture, minMaxLoc,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
Mat src(srcSize, type);
randu(src, 0, 1);
declare.in(src);
double min_val = 0.0, max_val = 0.0;
Point min_loc, max_loc;
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src);
OCL_TEST_CYCLE() cv::ocl::minMaxLoc(oclSrc, &min_val, &max_val, &min_loc, &max_loc);
ASSERT_GE(max_val, min_val);
SANITY_CHECK(min_val);
SANITY_CHECK(max_val);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::minMaxLoc(src, &min_val, &max_val, &min_loc, &max_loc);
ASSERT_GE(max_val, min_val);
SANITY_CHECK(min_val);
SANITY_CHECK(max_val);
}
else
OCL_PERF_ELSE
}
///////////// Sum ////////////////////////
typedef Size_MatType SumFixture;
PERF_TEST_P(SumFixture, Sum,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_32SC1)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
Mat src(srcSize, type);
Scalar result;
randu(src, 0, 60);
declare.in(src);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src);
OCL_TEST_CYCLE() result = cv::ocl::sum(oclSrc);
SANITY_CHECK(result);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() result = cv::sum(src);
SANITY_CHECK(result);
}
else
OCL_PERF_ELSE
}
///////////// countNonZero ////////////////////////
typedef Size_MatType countNonZeroFixture;
PERF_TEST_P(countNonZeroFixture, countNonZero,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
Mat src(srcSize, type);
int result = 0;
randu(src, 0, 256);
declare.in(src);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src);
OCL_TEST_CYCLE() result = cv::ocl::countNonZero(oclSrc);
SANITY_CHECK(result);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() result = cv::countNonZero(src);
SANITY_CHECK(result);
}
else
OCL_PERF_ELSE
}
///////////// Phase ////////////////////////
typedef TestBaseWithParam<Size> PhaseFixture;
PERF_TEST_P(PhaseFixture, Phase, OCL_TYPICAL_MAT_SIZES)
{
const Size srcSize = GetParam();
Mat src1(srcSize, CV_32FC1), src2(srcSize, CV_32FC1),
dst(srcSize, CV_32FC1);
declare.in(src1, src2).out(dst);
randu(src1, 0, 256);
randu(src2, 0, 256);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc1(src1), oclSrc2(src2),
oclDst(srcSize, src1.type());
OCL_TEST_CYCLE() cv::ocl::phase(oclSrc1, oclSrc2, oclDst, 1);
oclDst.download(dst);
SANITY_CHECK(dst, 1e-2);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::phase(src1, src2, dst, 1);
SANITY_CHECK(dst, 1e-2);
}
else
OCL_PERF_ELSE
}
///////////// bitwise_and////////////////////////
typedef Size_MatType BitwiseAndFixture;
PERF_TEST_P(BitwiseAndFixture, bitwise_and,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_32SC1)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
Mat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
declare.in(src1, src2).out(dst);
randu(src1, 0, 256);
randu(src2, 0, 256);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc1(src1), oclSrc2(src2), oclDst(srcSize, src1.type());
OCL_TEST_CYCLE() cv::ocl::bitwise_and(oclSrc1, oclSrc2, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::bitwise_and(src1, src2, dst);
SANITY_CHECK(dst);
}
else
OCL_PERF_ELSE
}
///////////// bitwise_not////////////////////////
typedef Size_MatType BitwiseNotFixture;
PERF_TEST_P(BitwiseAndFixture, bitwise_not,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_32SC1)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
Mat src(srcSize, type), dst(srcSize, type);
declare.in(src, WARMUP_RNG).out(dst);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src), oclDst(srcSize, type);
OCL_TEST_CYCLE() cv::ocl::bitwise_not(oclSrc, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::bitwise_not(src, dst);
SANITY_CHECK(dst);
}
else
OCL_PERF_ELSE
}
///////////// compare////////////////////////
typedef Size_MatType CompareFixture;
PERF_TEST_P(CompareFixture, compare,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
Mat src1(srcSize, type), src2(srcSize, type), dst(srcSize, CV_8UC1);
declare.in(src1, src2, WARMUP_RNG).out(dst);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc1(src1), oclSrc2(src2), oclDst(srcSize, CV_8UC1);
OCL_TEST_CYCLE() cv::ocl::compare(oclSrc1, oclSrc2, oclDst, CMP_EQ);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::compare(src1, src2, dst, CMP_EQ);
SANITY_CHECK(dst);
}
else
OCL_PERF_ELSE
}
///////////// pow ////////////////////////
typedef TestBaseWithParam<Size> PowFixture;
PERF_TEST_P(PowFixture, pow, OCL_TYPICAL_MAT_SIZES)
{
const Size srcSize = GetParam();
Mat src(srcSize, CV_32F), dst(srcSize, CV_32F);
declare.in(src, WARMUP_RNG).out(dst);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc(src), oclDst(srcSize, src.type());
OCL_TEST_CYCLE() cv::ocl::pow(oclSrc, -2.0, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst, 5e-2);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::pow(src, -2.0, dst);
SANITY_CHECK(dst, 5e-2);
}
else
OCL_PERF_ELSE
}
///////////// MagnitudeSqr////////////////////////
typedef TestBaseWithParam<Size> MagnitudeSqrFixture;
PERF_TEST_P(MagnitudeSqrFixture, MagnitudeSqr, OCL_TYPICAL_MAT_SIZES)
{
const Size srcSize = GetParam();
Mat src1(srcSize, CV_32FC1), src2(srcSize, CV_32FC1),
dst(srcSize, CV_32FC1);
declare.in(src1, src2, WARMUP_RNG).out(dst);
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc1(src1), oclSrc2(src2), oclDst(srcSize, src1.type());
OCL_TEST_CYCLE() cv::ocl::magnitudeSqr(oclSrc1, oclSrc2, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
}
else if (RUN_PLAIN_IMPL)
{
ASSERT_EQ(1, src1.channels());
TEST_CYCLE()
{
for (int y = 0; y < srcSize.height; ++y)
{
const float * const src1Data = reinterpret_cast<float *>(src1.data + src1.step * y);
const float * const src2Data = reinterpret_cast<float *>(src2.data + src2.step * y);
float * const dstData = reinterpret_cast<float *>(dst.data + dst.step * y);
for (int x = 0; x < srcSize.width; ++x)
{
float t0 = src1Data[x] * src1Data[x];
float t1 = src2Data[x] * src2Data[x];
dstData[x] = t0 + t1;
}
}
}
SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
}
else
OCL_PERF_ELSE
}
///////////// AddWeighted////////////////////////
typedef Size_MatType AddWeightedFixture;
PERF_TEST_P(AddWeightedFixture, AddWeighted,
::testing::Combine(OCL_TYPICAL_MAT_SIZES,
OCL_PERF_ENUM(CV_8UC1, CV_32FC1)))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params);
Mat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
declare.in(src1, src2, WARMUP_RNG).out(dst);
double alpha = 2.0, beta = 1.0, gama = 3.0;
if (RUN_OCL_IMPL)
{
ocl::oclMat oclSrc1(src1), oclSrc2(src2), oclDst(srcSize, type);
OCL_TEST_CYCLE() cv::ocl::addWeighted(oclSrc1, alpha, oclSrc2, beta, gama, oclDst);
oclDst.download(dst);
SANITY_CHECK(dst);
}
else if (RUN_PLAIN_IMPL)
{
TEST_CYCLE() cv::addWeighted(src1, alpha, src2, beta, gama, dst);
SANITY_CHECK(dst);
}
else
OCL_PERF_ELSE
}