opencv/modules/cudaarithm/test/test_stream.cpp at master · pythonmjs/opencv · GitHub

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/*M///////////////////////////////////////////////////////////////////////////////////////

// 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

// Third party copyrights are property of their respective owners.

// 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 "test_precomp.hpp"

#ifdef HAVE_CUDA

#include <cuda_runtime.h>

#include "opencv2/core/cuda.hpp"

#include "opencv2/core/cuda_stream_accessor.hpp"

#include "opencv2/ts/cuda_test.hpp"

namespace opencv_test { namespace {

struct Async : testing::TestWithParam<cv::cuda::DeviceInfo>

{

cv::cuda::HostMem src;

cv::cuda::GpuMat d_src;

cv::cuda::HostMem dst;

cv::cuda::GpuMat d_dst;

virtual void SetUp()

{

cv::cuda::DeviceInfo devInfo = GetParam();

cv::cuda::setDevice(devInfo.deviceID());

src = cv::cuda::HostMem(cv::cuda::HostMem::PAGE_LOCKED);

cv::Mat m = randomMat(cv::Size(128, 128), CV_8UC1);

m.copyTo(src);

}

};

void checkMemSet(int status, void* userData)

{

ASSERT_EQ(cudaSuccess, status);

Async* test = reinterpret_cast<Async*>(userData);

cv::cuda::HostMem src = test->src;

cv::cuda::HostMem dst = test->dst;

cv::Mat dst_gold = cv::Mat::zeros(src.size(), src.type());

ASSERT_MAT_NEAR(dst_gold, dst, 0);

}

CUDA_TEST_P(Async, MemSet)

{

cv::cuda::Stream stream;

d_dst.upload(src);

d_dst.setTo(cv::Scalar::all(0), stream);

d_dst.download(dst, stream);

Async* test = this;

stream.enqueueHostCallback(checkMemSet, test);

stream.waitForCompletion();

}

void checkConvert(int status, void* userData)

{

ASSERT_EQ(cudaSuccess, status);

Async* test = reinterpret_cast<Async*>(userData);

cv::cuda::HostMem src = test->src;

cv::cuda::HostMem dst = test->dst;

cv::Mat dst_gold;

src.createMatHeader().convertTo(dst_gold, CV_32S);

ASSERT_MAT_NEAR(dst_gold, dst, 0);

}

CUDA_TEST_P(Async, Convert)

{

cv::cuda::Stream stream;

d_src.upload(src, stream);

d_src.convertTo(d_dst, CV_32S, stream);

d_dst.download(dst, stream);

Async* test = this;

stream.enqueueHostCallback(checkConvert, test);

stream.waitForCompletion();

}

CUDA_TEST_P(Async, WrapStream)

{

cudaStream_t cuda_stream = NULL;

ASSERT_EQ(cudaSuccess, cudaStreamCreate(&cuda_stream));

{

cv::cuda::Stream stream = cv::cuda::StreamAccessor::wrapStream(cuda_stream);

d_src.upload(src, stream);

d_src.convertTo(d_dst, CV_32S, stream);

d_dst.download(dst, stream);

Async* test = this;

stream.enqueueHostCallback(checkConvert, test);

stream.waitForCompletion();

}

ASSERT_EQ(cudaSuccess, cudaStreamDestroy(cuda_stream));

}

CUDA_TEST_P(Async, HostMemAllocator)

{

cv::cuda::Stream stream;

cv::Mat h_dst;

h_dst.allocator = cv::cuda::HostMem::getAllocator();

d_src.upload(src, stream);

d_src.convertTo(d_dst, CV_32S, stream);

d_dst.download(h_dst, stream);

stream.waitForCompletion();

cv::Mat dst_gold;

src.createMatHeader().convertTo(dst_gold, CV_32S);

ASSERT_MAT_NEAR(dst_gold, h_dst, 0);

}

INSTANTIATE_TEST_CASE_P(CUDA_Stream, Async, ALL_DEVICES);

}} // namespace

#endif // HAVE_CUDA

opencv/modules/cudaarithm/test/test_stream.cpp at master · pythonmjs/opencv · GitHub

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