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Open Source Computer Vision Library
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175 lines
5.0 KiB
175 lines
5.0 KiB
/*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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#include "test_precomp.hpp" |
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#ifdef HAVE_CUDA |
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#include <cuda_runtime.h> |
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#include "opencv2/core/cuda.hpp" |
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#include "opencv2/core/cuda_stream_accessor.hpp" |
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#include "opencv2/ts/cuda_test.hpp" |
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using namespace cvtest; |
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struct Async : testing::TestWithParam<cv::cuda::DeviceInfo> |
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{ |
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cv::cuda::HostMem src; |
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cv::cuda::GpuMat d_src; |
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cv::cuda::HostMem dst; |
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cv::cuda::GpuMat d_dst; |
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virtual void SetUp() |
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{ |
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cv::cuda::DeviceInfo devInfo = GetParam(); |
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cv::cuda::setDevice(devInfo.deviceID()); |
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src = cv::cuda::HostMem(cv::cuda::HostMem::PAGE_LOCKED); |
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cv::Mat m = randomMat(cv::Size(128, 128), CV_8UC1); |
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m.copyTo(src); |
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} |
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}; |
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void checkMemSet(int status, void* userData) |
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{ |
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ASSERT_EQ(cudaSuccess, status); |
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Async* test = reinterpret_cast<Async*>(userData); |
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cv::cuda::HostMem src = test->src; |
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cv::cuda::HostMem dst = test->dst; |
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cv::Mat dst_gold = cv::Mat::zeros(src.size(), src.type()); |
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ASSERT_MAT_NEAR(dst_gold, dst, 0); |
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} |
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CUDA_TEST_P(Async, MemSet) |
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{ |
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cv::cuda::Stream stream; |
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d_dst.upload(src); |
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d_dst.setTo(cv::Scalar::all(0), stream); |
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d_dst.download(dst, stream); |
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Async* test = this; |
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stream.enqueueHostCallback(checkMemSet, test); |
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stream.waitForCompletion(); |
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} |
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void checkConvert(int status, void* userData) |
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{ |
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ASSERT_EQ(cudaSuccess, status); |
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Async* test = reinterpret_cast<Async*>(userData); |
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cv::cuda::HostMem src = test->src; |
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cv::cuda::HostMem dst = test->dst; |
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cv::Mat dst_gold; |
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src.createMatHeader().convertTo(dst_gold, CV_32S); |
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ASSERT_MAT_NEAR(dst_gold, dst, 0); |
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} |
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CUDA_TEST_P(Async, Convert) |
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{ |
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cv::cuda::Stream stream; |
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d_src.upload(src, stream); |
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d_src.convertTo(d_dst, CV_32S, stream); |
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d_dst.download(dst, stream); |
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Async* test = this; |
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stream.enqueueHostCallback(checkConvert, test); |
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stream.waitForCompletion(); |
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} |
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CUDA_TEST_P(Async, WrapStream) |
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{ |
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cudaStream_t cuda_stream = NULL; |
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ASSERT_EQ(cudaSuccess, cudaStreamCreate(&cuda_stream)); |
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{ |
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cv::cuda::Stream stream = cv::cuda::StreamAccessor::wrapStream(cuda_stream); |
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d_src.upload(src, stream); |
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d_src.convertTo(d_dst, CV_32S, stream); |
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d_dst.download(dst, stream); |
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Async* test = this; |
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stream.enqueueHostCallback(checkConvert, test); |
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stream.waitForCompletion(); |
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} |
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ASSERT_EQ(cudaSuccess, cudaStreamDestroy(cuda_stream)); |
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} |
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CUDA_TEST_P(Async, HostMemAllocator) |
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{ |
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cv::cuda::Stream stream; |
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cv::Mat h_dst; |
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h_dst.allocator = cv::cuda::HostMem::getAllocator(); |
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d_src.upload(src, stream); |
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d_src.convertTo(d_dst, CV_32S, stream); |
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d_dst.download(h_dst, stream); |
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stream.waitForCompletion(); |
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cv::Mat dst_gold; |
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src.createMatHeader().convertTo(dst_gold, CV_32S); |
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ASSERT_MAT_NEAR(dst_gold, h_dst, 0); |
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} |
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INSTANTIATE_TEST_CASE_P(CUDA_Stream, Async, ALL_DEVICES); |
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#endif // HAVE_CUDA
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