mirror of https://github.com/opencv/opencv.git
Merge pull request #3531 from jet47:cuda-core-refactoring
Vadim Pisarevsky
10 years ago
commit
0ff67253f7
30 changed files with 478 additions and 432 deletions
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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,
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// 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) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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// Redistribution and use in source and binary forms, with or without modification,
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// 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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// This software is provided by the copyright holders and contributors "as is" and
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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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#ifdef HAVE_CUDA |
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#include "opencv2/cudaarithm.hpp" |
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#include "opencv2/core/private.cuda.hpp" |
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using namespace testing; |
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using namespace perf; |
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using namespace cv; |
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using namespace cv::cuda; |
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namespace |
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{ |
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void func1(const GpuMat& src, GpuMat& dst, Stream& stream) |
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{ |
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BufferPool pool(stream); |
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GpuMat buf = pool.getBuffer(src.size(), CV_32FC(src.channels())); |
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src.convertTo(buf, CV_32F, 1.0 / 255.0, stream); |
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cuda::exp(buf, dst, stream); |
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} |
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void func2(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream) |
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{ |
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BufferPool pool(stream); |
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GpuMat buf1 = pool.getBuffer(src1.size(), CV_32FC(src1.channels())); |
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func1(src1, buf1, stream); |
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GpuMat buf2 = pool.getBuffer(src2.size(), CV_32FC(src2.channels())); |
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func1(src2, buf2, stream); |
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cuda::add(buf1, buf2, dst, noArray(), -1, stream); |
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} |
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} |
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PERF_TEST_P(Sz, BufferPool, CUDA_TYPICAL_MAT_SIZES) |
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{ |
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static bool first = true; |
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const Size size = GetParam(); |
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const bool useBufferPool = PERF_RUN_CUDA(); |
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Mat host_src(size, CV_8UC1); |
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declare.in(host_src, WARMUP_RNG); |
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GpuMat src1(host_src), src2(host_src); |
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GpuMat dst; |
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setBufferPoolUsage(useBufferPool); |
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if (useBufferPool && first) |
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{ |
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setBufferPoolConfig(-1, 25 * 1024 * 1024, 2); |
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first = false; |
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} |
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TEST_CYCLE() |
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{ |
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func2(src1, src2, dst, Stream::Null()); |
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} |
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Mat h_dst(dst); |
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SANITY_CHECK(h_dst); |
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} |
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#endif |
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