2013-10-09 20:57:52 +08:00
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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) 2010-2013, 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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// 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,
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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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2013-10-25 22:00:46 +08:00
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// and/or other materials provided with the distribution.
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2013-10-09 20:57:52 +08:00
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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 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 "test_precomp.hpp"
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#include "opencv2/ocl/cl_runtime/cl_runtime.hpp" // for OpenCL types: cl_mem
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2013-12-01 07:12:19 +08:00
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#include "opencv2/core/ocl.hpp"
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2013-10-09 20:57:52 +08:00
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TEST(TestAPI, openCLExecuteKernelInterop)
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{
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cv::RNG rng;
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Size sz(10000, 1);
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cv::Mat cpuMat = cvtest::randomMat(rng, sz, CV_32FC4, -10, 10, false);
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cv::ocl::oclMat gpuMat(cpuMat);
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cv::ocl::oclMat gpuMatDst(sz, CV_32FC4);
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const char* kernelStr =
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"__kernel void test_kernel(__global float4* src, __global float4* dst) {\n"
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" int x = get_global_id(0);\n"
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" dst[x] = src[x];\n"
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"}\n";
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cv::ocl::ProgramSource program("test_interop", kernelStr);
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using namespace std;
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vector<pair<size_t , const void *> > args;
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args.push_back( make_pair( sizeof(cl_mem), (void *) &gpuMat.data ));
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args.push_back( make_pair( sizeof(cl_mem), (void *) &gpuMatDst.data ));
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size_t globalThreads[3] = { sz.width, 1, 1 };
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cv::ocl::openCLExecuteKernelInterop(
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gpuMat.clCxt,
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program,
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"test_kernel",
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globalThreads, NULL, args,
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-1, -1,
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"");
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cv::Mat dst;
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gpuMatDst.download(dst);
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EXPECT_LE(checkNorm(cpuMat, dst), 1e-3);
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}
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2013-12-01 07:12:19 +08:00
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TEST(OCL_TestTAPI, performance)
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{
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cv::RNG rng;
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cv::Mat src(1280,768,CV_8UC4), dst;
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rng.fill(src, RNG::UNIFORM, 0, 255);
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cv::UMat usrc, udst;
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src.copyTo(usrc);
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cv::ocl::oclMat osrc(src);
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cv::ocl::oclMat odst;
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int cvtcode = cv::COLOR_BGR2GRAY;
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int i, niters = 10;
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double t;
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cv::ocl::cvtColor(osrc, odst, cvtcode);
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cv::ocl::finish();
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t = (double)cv::getTickCount();
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for(i = 0; i < niters; i++)
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{
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cv::ocl::cvtColor(osrc, odst, cvtcode);
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}
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cv::ocl::finish();
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t = (double)cv::getTickCount() - t;
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printf("ocl exec time = %gms per iter\n", t*1000./niters/cv::getTickFrequency());
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cv::cvtColor(usrc, udst, cvtcode);
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cv::ocl::finish2();
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t = (double)cv::getTickCount();
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for(i = 0; i < niters; i++)
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{
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cv::cvtColor(usrc, udst, cvtcode);
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}
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cv::ocl::finish2();
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t = (double)cv::getTickCount() - t;
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printf("t-api exec time = %gms per iter\n", t*1000./niters/cv::getTickFrequency());
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cv::cvtColor(src, dst, cvtcode);
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t = (double)cv::getTickCount();
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for(i = 0; i < niters; i++)
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{
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cv::cvtColor(src, dst, cvtcode);
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}
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t = (double)cv::getTickCount() - t;
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printf("cpu exec time = %gms per iter\n", t*1000./niters/cv::getTickFrequency());
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}
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