133 lines
		
	
	
		
			4.0 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
			
		
		
	
	
			133 lines
		
	
	
		
			4.0 KiB
		
	
	
	
		
			C++
		
	
	
	
	
	
| /*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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| //
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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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| //     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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| 
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| #include "test_precomp.hpp"
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| 
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| #ifdef HAVE_CUDA
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| 
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| using namespace cvtest;
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| 
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| #if CUDA_VERSION >= 5000
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| 
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| struct Async : testing::TestWithParam<cv::gpu::DeviceInfo>
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| {
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|     cv::gpu::CudaMem src;
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|     cv::gpu::GpuMat d_src;
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| 
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|     cv::gpu::CudaMem dst;
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|     cv::gpu::GpuMat d_dst;
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| 
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|     virtual void SetUp()
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|     {
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|         cv::gpu::DeviceInfo devInfo = GetParam();
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|         cv::gpu::setDevice(devInfo.deviceID());
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| 
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|         cv::Mat m = randomMat(cv::Size(128, 128), CV_8UC1);
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|         src.create(m.size(), m.type(), cv::gpu::CudaMem::ALLOC_PAGE_LOCKED);
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|         m.copyTo(src.createMatHeader());
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|     }
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| };
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| 
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| void checkMemSet(cv::gpu::Stream&, int status, void* userData)
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| {
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|     ASSERT_EQ(cudaSuccess, status);
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| 
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|     Async* test = reinterpret_cast<Async*>(userData);
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| 
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|     cv::Mat src = test->src;
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|     cv::Mat dst = test->dst;
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| 
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|     cv::Mat dst_gold = cv::Mat::zeros(src.size(), src.type());
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| 
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|     ASSERT_MAT_NEAR(dst_gold, dst, 0);
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| }
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| 
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| GPU_TEST_P(Async, MemSet)
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| {
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|     cv::gpu::Stream stream;
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| 
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|     d_dst.upload(src);
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| 
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|     stream.enqueueMemSet(d_dst, cv::Scalar::all(0));
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|     stream.enqueueDownload(d_dst, dst);
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| 
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|     Async* test = this;
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|     stream.enqueueHostCallback(checkMemSet, test);
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| 
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|     stream.waitForCompletion();
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| }
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| 
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| void checkConvert(cv::gpu::Stream&, int status, void* userData)
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| {
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|     ASSERT_EQ(cudaSuccess, status);
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| 
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|     Async* test = reinterpret_cast<Async*>(userData);
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| 
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|     cv::Mat src = test->src;
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|     cv::Mat dst = test->dst;
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| 
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|     cv::Mat dst_gold;
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|     src.convertTo(dst_gold, CV_32S);
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| 
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|     ASSERT_MAT_NEAR(dst_gold, dst, 0);
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| }
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| 
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| GPU_TEST_P(Async, Convert)
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| {
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|     cv::gpu::Stream stream;
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| 
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|     stream.enqueueUpload(src, d_src);
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|     stream.enqueueConvert(d_src, d_dst, CV_32S);
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|     stream.enqueueDownload(d_dst, dst);
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| 
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|     Async* test = this;
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|     stream.enqueueHostCallback(checkConvert, test);
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| 
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|     stream.waitForCompletion();
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| }
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| 
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| INSTANTIATE_TEST_CASE_P(GPU_Stream, Async, ALL_DEVICES);
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| 
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| #endif
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| 
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| #endif // HAVE_CUDA
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