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added new perf tests to core
This commit is contained in:
parent
4644a864a5
commit
31e6251793
@ -460,7 +460,7 @@ OCL_PERF_TEST_P(BitwiseAndFixture, Bitwise_and,
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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Mat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
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UMat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
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declare.in(src1, src2, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::bitwise_and(src1, src2, dst);
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@ -481,7 +481,7 @@ OCL_PERF_TEST_P(BitwiseXorFixture, Bitwise_xor,
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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Mat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
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UMat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
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declare.in(src1, src2, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::bitwise_xor(src1, src2, dst);
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@ -617,11 +617,11 @@ OCL_PERF_TEST_P(SqrtFixture, Sqrt, ::testing::Combine(
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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Mat src(srcSize, type), dst(srcSize, type);
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UMat src(srcSize, type), dst(srcSize, type);
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randu(src, 0, 1000);
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declare.in(src).out(dst);
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TEST_CYCLE() cv::sqrt(src, dst);
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OCL_TEST_CYCLE() cv::sqrt(src, dst);
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SANITY_CHECK(dst, 1e-6, ERROR_RELATIVE);
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}
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@ -706,6 +706,114 @@ OCL_PERF_TEST_P(NormFixture, DISABLED_Norm,
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SANITY_CHECK(res, 1e-6, ERROR_RELATIVE);
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}
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///////////// Repeat ////////////////////////
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typedef Size_MatType RepeatFixture;
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OCL_PERF_TEST_P(RepeatFixture, Repeat,
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::testing::Combine(OCL_PERF_ENUM(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3), 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), nx = 2, ny = 2;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, type), dst(Size(srcSize.width * nx, srcSize.height * ny), type);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::repeat(src, nx, ny, dst);
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SANITY_CHECK(dst);
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}
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///////////// Min ////////////////////////
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typedef Size_MatType MinFixture;
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OCL_PERF_TEST_P(MinFixture, Min,
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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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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
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declare.in(src1, src2, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::min(src1, src2, dst);
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SANITY_CHECK(dst);
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}
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///////////// Max ////////////////////////
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typedef Size_MatType MaxFixture;
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OCL_PERF_TEST_P(MaxFixture, Max,
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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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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src1(srcSize, type), src2(srcSize, type), dst(srcSize, type);
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declare.in(src1, src2, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::max(src1, src2, dst);
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SANITY_CHECK(dst);
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}
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///////////// InRange ////////////////////////
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typedef Size_MatType InRangeFixture;
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OCL_PERF_TEST_P(InRangeFixture, InRange,
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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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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, type), lb(srcSize, type), ub(srcSize, type), dst(srcSize, CV_8UC1);
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declare.in(src, lb, ub, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::inRange(src, lb, ub, dst);
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SANITY_CHECK(dst);
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}
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///////////// Normalize ////////////////////////
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CV_ENUM(NormalizeModes, CV_MINMAX, CV_L2, CV_L1, CV_C)
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typedef tuple<Size, MatType, NormalizeModes> NormalizeParams;
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typedef TestBaseWithParam<NormalizeParams> NormalizeFixture;
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OCL_PERF_TEST_P(NormalizeFixture, Normalize,
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::testing::Combine(OCL_TEST_SIZES, OCL_TEST_TYPES, NormalizeModes::all()))
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{
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const NormalizeParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int type = get<1>(params), mode = get<2>(params);
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, type), dst(srcSize, type);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::normalize(src, dst, 10, 110, mode);
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SANITY_CHECK(dst, 5e-2);
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}
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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL
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156
modules/core/perf/opencl/perf_channels.cpp
Normal file
156
modules/core/perf/opencl/perf_channels.cpp
Normal file
@ -0,0 +1,156 @@
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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,
|
||||
// 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,
|
||||
// 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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#include "opencv2/ts/ocl_perf.hpp"
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#ifdef HAVE_OPENCL
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namespace cvtest {
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namespace ocl {
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///////////// Merge////////////////////////
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typedef tuple<Size, MatDepth, int> MergeParams;
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typedef TestBaseWithParam<MergeParams> MergeFixture;
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OCL_PERF_TEST_P(MergeFixture, Merge,
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::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8U, CV_32F), Values(2, 3)))
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{
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const MergeParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int depth = get<1>(params), cn = get<2>(params), dtype = CV_MAKE_TYPE(depth, cn);
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checkDeviceMaxMemoryAllocSize(srcSize, dtype);
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UMat dst(srcSize, dtype);
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vector<UMat> src(cn);
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for (vector<UMat>::iterator i = src.begin(), end = src.end(); i != end; ++i)
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{
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i->create(srcSize, CV_MAKE_TYPE(depth, 1));
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declare.in(*i, WARMUP_RNG);
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}
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declare.out(dst);
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OCL_TEST_CYCLE() cv::merge(src, dst);
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SANITY_CHECK(dst);
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}
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///////////// Split ////////////////////////
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typedef MergeParams SplitParams;
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typedef TestBaseWithParam<SplitParams> SplitFixture;
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OCL_PERF_TEST_P(SplitFixture, Split,
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::testing::Combine(OCL_TEST_SIZES, OCL_PERF_ENUM(CV_8U, CV_32F), Values(2, 3)))
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{
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const SplitParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int depth = get<1>(params), cn = get<2>(params), type = CV_MAKE_TYPE(depth, cn);
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ASSERT_TRUE(cn == 3 || cn == 2);
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat src(srcSize, type);
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std::vector<UMat> dst(cn, UMat(srcSize, CV_MAKE_TYPE(depth, 1)));
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declare.in(src, WARMUP_RNG);
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for (int i = 0; i < cn; ++i)
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declare.in(dst[i]);
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OCL_TEST_CYCLE() cv::split(src, dst);
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ASSERT_EQ(cn, (int)dst.size());
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if (cn == 2)
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{
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UMat & dst0 = dst[0], & dst1 = dst[1];
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SANITY_CHECK(dst0);
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SANITY_CHECK(dst1);
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}
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else
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{
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UMat & dst0 = dst[0], & dst1 = dst[1], & dst2 = dst[2];
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SANITY_CHECK(dst0);
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SANITY_CHECK(dst1);
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SANITY_CHECK(dst2);
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}
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}
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///////////// MixChannels ////////////////////////
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typedef tuple<Size, MatDepth> MixChannelsParams;
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typedef TestBaseWithParam<MixChannelsParams> MixChannelsFixture;
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OCL_PERF_TEST_P(MixChannelsFixture, MixChannels,
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::testing::Combine(Values(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
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OCL_PERF_ENUM(CV_8U, CV_32F)))
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{
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const MixChannelsParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int depth = get<1>(params), type = CV_MAKE_TYPE(depth, 2), n = 2;
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checkDeviceMaxMemoryAllocSize(srcSize, type);
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UMat templ(srcSize, type);
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std::vector<UMat> src(n, templ), dst(n, templ);
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for (int i = 0; i < n; ++i)
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declare.in(src[i], WARMUP_RNG).out(dst[i]);
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int fromTo[] = { 1,2, 2,0, 0,3, 3,1 };
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OCL_TEST_CYCLE() cv::mixChannels(src, dst, fromTo, 4);
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UMat & dst0 = dst[0], & dst1 = dst[1];
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SANITY_CHECK(dst0);
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SANITY_CHECK(dst1);
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}
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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL
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99
modules/core/perf/opencl/perf_dxt.cpp
Normal file
99
modules/core/perf/opencl/perf_dxt.cpp
Normal file
@ -0,0 +1,99 @@
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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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//
|
||||
// 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.
|
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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,
|
||||
// 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
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// the use of this software, even if advised of the possibility of such damage.
|
||||
//
|
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//M*/
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#include "perf_precomp.hpp"
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#include "opencv2/ts/ocl_perf.hpp"
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#ifdef HAVE_OPENCL
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namespace cvtest {
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namespace ocl {
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///////////// dft ////////////////////////
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typedef tuple<Size, int> DftParams;
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typedef TestBaseWithParam<DftParams> DftFixture;
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OCL_PERF_TEST_P(DftFixture, Dft, ::testing::Combine(Values(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
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Values((int)DFT_ROWS, (int)DFT_SCALE, (int)DFT_INVERSE,
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(int)DFT_INVERSE | DFT_SCALE, (int)DFT_ROWS | DFT_INVERSE)))
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{
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const DftParams params = GetParam();
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const Size srcSize = get<0>(params);
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const int flags = get<1>(params);
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UMat src(srcSize, CV_32FC2), dst(srcSize, CV_32FC2);
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declare.in(src, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::dft(src, dst, flags | DFT_COMPLEX_OUTPUT);
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SANITY_CHECK(dst, 1e-3);
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}
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///////////// MulSpectrums ////////////////////////
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typedef tuple<Size, bool> MulSpectrumsParams;
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typedef TestBaseWithParam<MulSpectrumsParams> MulSpectrumsFixture;
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OCL_PERF_TEST_P(MulSpectrumsFixture, MulSpectrums,
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::testing::Combine(Values(OCL_SIZE_1, OCL_SIZE_2, OCL_SIZE_3),
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Bool()))
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{
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const MulSpectrumsParams params = GetParam();
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const Size srcSize = get<0>(params);
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const bool conj = get<1>(params);
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UMat src1(srcSize, CV_32FC2), src2(srcSize, CV_32FC2), dst(srcSize, CV_32FC2);
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declare.in(src1, src2, WARMUP_RNG).out(dst);
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OCL_TEST_CYCLE() cv::mulSpectrums(src1, src2, dst, 0, conj);
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SANITY_CHECK(dst, 1e-3);
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}
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} } // namespace cvtest::ocl
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#endif // HAVE_OPENCL
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82
modules/core/perf/opencl/perf_gemm.cpp
Normal file
82
modules/core/perf/opencl/perf_gemm.cpp
Normal file
@ -0,0 +1,82 @@
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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||||
// 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
|
@ -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);
|
||||
|
||||
|
@ -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();
|
||||
|
@ -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);
|
||||
}
|
||||
|
@ -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)
|
||||
|
Loading…
Reference in New Issue
Block a user