added new perf tests to core

This commit is contained in:
Ilya Lavrenov 2013-12-27 16:33:18 +04:00
parent 4644a864a5
commit 31e6251793
8 changed files with 460 additions and 11 deletions

View File

@ -460,7 +460,7 @@ OCL_PERF_TEST_P(BitwiseAndFixture, Bitwise_and,
checkDeviceMaxMemoryAllocSize(srcSize, type);
Mat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
UMat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
declare.in(src1, src2, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::bitwise_and(src1, src2, dst);
@ -481,7 +481,7 @@ OCL_PERF_TEST_P(BitwiseXorFixture, Bitwise_xor,
checkDeviceMaxMemoryAllocSize(srcSize, type);
Mat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
UMat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
declare.in(src1, src2, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::bitwise_xor(src1, src2, dst);
@ -617,11 +617,11 @@ OCL_PERF_TEST_P(SqrtFixture, Sqrt, ::testing::Combine(
checkDeviceMaxMemoryAllocSize(srcSize, type);
Mat src(srcSize, type), dst(srcSize, type);
UMat src(srcSize, type), dst(srcSize, type);
randu(src, 0, 1000);
declare.in(src).out(dst);
TEST_CYCLE() cv::sqrt(src, dst);
OCL_TEST_CYCLE() cv::sqrt(src, dst);
SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
}
@ -706,6 +706,114 @@ OCL_PERF_TEST_P(NormFixture, DISABLED_Norm,
SANITY_CHECK(res, 1e-6, ERROR_RELATIVE);
}
///////////// Repeat ////////////////////////
typedef Size_MatType RepeatFixture;
OCL_PERF_TEST_P(RepeatFixture, Repeat,
::testing::Combine(OCL_PERF_ENUM(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3), OCL_TEST_TYPES))
{
const Size_MatType_t params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params), nx = 2, ny = 2;
checkDeviceMaxMemoryAllocSize(srcSize, type);
UMat src(srcSize, type), dst(Size(srcSize.width * nx, srcSize.height * ny), type);
declare.in(src, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::repeat(src, nx, ny, dst);
SANITY_CHECK(dst);
}
///////////// Min ////////////////////////
typedef Size_MatType MinFixture;
OCL_PERF_TEST_P(MinFixture, Min,
::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);
checkDeviceMaxMemoryAllocSize(srcSize, type);
UMat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
declare.in(src1, src2, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::min(src1, src2, dst);
SANITY_CHECK(dst);
}
///////////// Max ////////////////////////
typedef Size_MatType MaxFixture;
OCL_PERF_TEST_P(MaxFixture, Max,
::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);
checkDeviceMaxMemoryAllocSize(srcSize, type);
UMat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
declare.in(src1, src2, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::max(src1, src2, dst);
SANITY_CHECK(dst);
}
///////////// InRange ////////////////////////
typedef Size_MatType InRangeFixture;
OCL_PERF_TEST_P(InRangeFixture, InRange,
::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);
checkDeviceMaxMemoryAllocSize(srcSize, type);
UMat src(srcSize, type), lb(srcSize, type), ub(srcSize, type), dst(srcSize, CV_8UC1);
declare.in(src, lb, ub, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::inRange(src, lb, ub, dst);
SANITY_CHECK(dst);
}
///////////// Normalize ////////////////////////
CV_ENUM(NormalizeModes, CV_MINMAX, CV_L2, CV_L1, CV_C)
typedef tuple<Size, MatType, NormalizeModes> NormalizeParams;
typedef TestBaseWithParam<NormalizeParams> NormalizeFixture;
OCL_PERF_TEST_P(NormalizeFixture, Normalize,
::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES, NormalizeModes::all()))
{
const NormalizeParams params = GetParam();
const Size srcSize = get<0>(params);
const int type = get<1>(params), mode = get<2>(params);
checkDeviceMaxMemoryAllocSize(srcSize, type);
UMat src(srcSize, type), dst(srcSize, type);
declare.in(src, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::normalize(src, dst, 10, 110, mode);
SANITY_CHECK(dst, 5e-2);
}
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL

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@ -0,0 +1,156 @@
/*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 materials 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"
#include "opencv2/ts/ocl_perf.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
///////////// Merge////////////////////////
typedef tuple<Size, MatDepth, int> MergeParams;
typedef TestBaseWithParam<MergeParams> MergeFixture;
OCL_PERF_TEST_P(MergeFixture, Merge,
::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8U, CV_32F), Values(2, 3)))
{
const MergeParams params = GetParam();
const Size srcSize = get<0>(params);
const int depth = get<1>(params), cn = get<2>(params), dtype = CV_MAKE_TYPE(depth, cn);
checkDeviceMaxMemoryAllocSize(srcSize, dtype);
UMat dst(srcSize, dtype);
vector<UMat> src(cn);
for (vector<UMat>::iterator i = src.begin(), end = src.end(); i != end; ++i)
{
i->create(srcSize, CV_MAKE_TYPE(depth, 1));
declare.in(*i, WARMUP_RNG);
}
declare.out(dst);
OCL_TEST_CYCLE() cv::merge(src, dst);
SANITY_CHECK(dst);
}
///////////// Split ////////////////////////
typedef MergeParams SplitParams;
typedef TestBaseWithParam<SplitParams> SplitFixture;
OCL_PERF_TEST_P(SplitFixture, Split,
::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8U, CV_32F), Values(2, 3)))
{
const SplitParams params = GetParam();
const Size srcSize = get<0>(params);
const int depth = get<1>(params), cn = get<2>(params), type = CV_MAKE_TYPE(depth, cn);
ASSERT_TRUE(cn == 3 || cn == 2);
checkDeviceMaxMemoryAllocSize(srcSize, type);
UMat src(srcSize, type);
std::vector<UMat> dst(cn, UMat(srcSize, CV_MAKE_TYPE(depth, 1)));
declare.in(src, WARMUP_RNG);
for (int i = 0; i < cn; ++i)
declare.in(dst[i]);
OCL_TEST_CYCLE() cv::split(src, dst);
ASSERT_EQ(cn, (int)dst.size());
if (cn == 2)
{
UMat & dst0 = dst[0], & dst1 = dst[1];
SANITY_CHECK(dst0);
SANITY_CHECK(dst1);
}
else
{
UMat & dst0 = dst[0], & dst1 = dst[1], & dst2 = dst[2];
SANITY_CHECK(dst0);
SANITY_CHECK(dst1);
SANITY_CHECK(dst2);
}
}
///////////// MixChannels ////////////////////////
typedef tuple<Size, MatDepth> MixChannelsParams;
typedef TestBaseWithParam<MixChannelsParams> MixChannelsFixture;
OCL_PERF_TEST_P(MixChannelsFixture, MixChannels,
::testing::Combine(Values(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
OCL_PERF_ENUM(CV_8U, CV_32F)))
{
const MixChannelsParams params = GetParam();
const Size srcSize = get<0>(params);
const int depth = get<1>(params), type = CV_MAKE_TYPE(depth, 2), n = 2;
checkDeviceMaxMemoryAllocSize(srcSize, type);
UMat templ(srcSize, type);
std::vector<UMat> src(n, templ), dst(n, templ);
for (int i = 0; i < n; ++i)
declare.in(src[i], WARMUP_RNG).out(dst[i]);
int fromTo[] = { 1,2, 2,0, 0,3, 3,1 };
OCL_TEST_CYCLE() cv::mixChannels(src, dst, fromTo, 4);
UMat & dst0 = dst[0], & dst1 = dst[1];
SANITY_CHECK(dst0);
SANITY_CHECK(dst1);
}
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL

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@ -0,0 +1,99 @@
/*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 materials 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"
#include "opencv2/ts/ocl_perf.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
///////////// dft ////////////////////////
typedef tuple<Size, int> DftParams;
typedef TestBaseWithParam<DftParams> DftFixture;
OCL_PERF_TEST_P(DftFixture, Dft, ::testing::Combine(Values(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
Values((int)DFT_ROWS, (int)DFT_SCALE, (int)DFT_INVERSE,
(int)DFT_INVERSE | DFT_SCALE, (int)DFT_ROWS | DFT_INVERSE)))
{
const DftParams params = GetParam();
const Size srcSize = get<0>(params);
const int flags = get<1>(params);
UMat src(srcSize, CV_32FC2), dst(srcSize, CV_32FC2);
declare.in(src, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::dft(src, dst, flags | DFT_COMPLEX_OUTPUT);
SANITY_CHECK(dst, 1e-3);
}
///////////// MulSpectrums ////////////////////////
typedef tuple<Size, bool> MulSpectrumsParams;
typedef TestBaseWithParam<MulSpectrumsParams> MulSpectrumsFixture;
OCL_PERF_TEST_P(MulSpectrumsFixture, MulSpectrums,
::testing::Combine(Values(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
Bool()))
{
const MulSpectrumsParams params = GetParam();
const Size srcSize = get<0>(params);
const bool conj = get<1>(params);
UMat src1(srcSize, CV_32FC2), src2(srcSize, CV_32FC2), dst(srcSize, CV_32FC2);
declare.in(src1, src2, WARMUP_RNG).out(dst);
OCL_TEST_CYCLE() cv::mulSpectrums(src1, src2, dst, 0, conj);
SANITY_CHECK(dst, 1e-3);
}
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL

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@ -0,0 +1,82 @@
/*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 materials 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"
#include "opencv2/ts/ocl_perf.hpp"
#ifdef HAVE_OPENCL
namespace cvtest {
namespace ocl {
///////////// gemm ////////////////////////
typedef tuple<Size, int> GemmParams;
typedef TestBaseWithParam<GemmParams> GemmFixture;
OCL_PERF_TEST_P(GemmFixture, Gemm, ::testing::Combine(
::testing::Values(Size(1000, 1000), Size(1500, 1500)),
Values((int)cv::GEMM_3_T, (int)cv::GEMM_3_T | (int)cv::GEMM_2_T)))
{
GemmParams params = GetParam();
const Size srcSize = get<0>(params);
const int flags = get<1>(params);
UMat src1(srcSize, CV_32FC1), src2(srcSize, CV_32FC1),
src3(srcSize, CV_32FC1), dst(srcSize, CV_32FC1);
declare.in(src1, src2, src3).out(dst);
randu(src1, -10.0f, 10.0f);
randu(src2, -10.0f, 10.0f);
randu(src3, -10.0f, 10.0f);
OCL_TEST_CYCLE() cv::gemm(src1, src2, 0.6, src3, 1.5, dst, flags);
SANITY_CHECK(dst, 0.01);
}
} } // namespace cvtest::ocl
#endif // HAVE_OPENCL

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@ -1409,7 +1409,7 @@ static void arithm_op(InputArray _src1, InputArray _src2, OutputArray _dst,
int wtype, dims1 = psrc1->dims(), dims2 = psrc2->dims();
Size sz1 = dims1 <= 2 ? psrc1->size() : Size();
Size sz2 = dims2 <= 2 ? psrc2->size() : Size();
bool use_opencl = _dst.kind() == _OutputArray::UMAT && ocl::useOpenCL() && dims1 <= 2 && dims2 <= 2;
bool use_opencl = _dst.isUMat() && ocl::useOpenCL() && dims1 <= 2 && dims2 <= 2;
bool src1Scalar = checkScalar(*psrc1, type2, kind1, kind2);
bool src2Scalar = checkScalar(*psrc2, type1, kind2, kind1);

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@ -619,9 +619,11 @@ void cv::mixChannels(InputArrayOfArrays src, InputOutputArrayOfArrays dst,
if(npairs == 0)
return;
bool src_is_mat = src.kind() != _InputArray::STD_VECTOR_MAT &&
src.kind() != _InputArray::STD_VECTOR_VECTOR;
src.kind() != _InputArray::STD_VECTOR_VECTOR &&
src.kind() != _InputArray::STD_VECTOR_UMAT;
bool dst_is_mat = dst.kind() != _InputArray::STD_VECTOR_MAT &&
dst.kind() != _InputArray::STD_VECTOR_VECTOR;
dst.kind() != _InputArray::STD_VECTOR_VECTOR &&
dst.kind() != _InputArray::STD_VECTOR_UMAT;
int i;
int nsrc = src_is_mat ? 1 : (int)src.total();
int ndst = dst_is_mat ? 1 : (int)dst.total();
@ -642,9 +644,11 @@ void cv::mixChannels(InputArrayOfArrays src, InputOutputArrayOfArrays dst,
if(fromTo.empty())
return;
bool src_is_mat = src.kind() != _InputArray::STD_VECTOR_MAT &&
src.kind() != _InputArray::STD_VECTOR_VECTOR;
src.kind() != _InputArray::STD_VECTOR_VECTOR &&
src.kind() != _InputArray::STD_VECTOR_UMAT;
bool dst_is_mat = dst.kind() != _InputArray::STD_VECTOR_MAT &&
dst.kind() != _InputArray::STD_VECTOR_VECTOR;
dst.kind() != _InputArray::STD_VECTOR_VECTOR &&
dst.kind() != _InputArray::STD_VECTOR_UMAT;
int i;
int nsrc = src_is_mat ? 1 : (int)src.total();
int ndst = dst_is_mat ? 1 : (int)dst.total();

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@ -1234,7 +1234,7 @@ OCL_TEST_P(Normalize, Mat)
for (int i = 0, size = sizeof(modes) / sizeof(modes[0]); i < size; ++i)
{
OCL_OFF(cv::normalize(src1_roi, dst1_roi, 10, 110, modes[i], src1_roi.type(), mask_roi));
OCL_ON(cv::normalize(usrc1_roi, udst1_roi, 10, 110, modes[i], src1_roi.type(), umask_roi));
OCL_ON(cv::normalize(usrc1_roi, udst1_roi, 10, 110, modes[i], src1_roi.type(), umask_roi));
Near(1);
}

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@ -25,7 +25,7 @@ TEST(Core_Drawing, _914)
}
TEST(Core_OutputArraySreate, _1997)
TEST(Core_OutputArrayCreate, _1997)
{
struct local {
static void create(OutputArray arr, Size submatSize, int type)