mirror of
https://github.com/opencv/opencv.git
synced 2024-11-30 14:29:49 +08:00
136 lines
4.0 KiB
C++
136 lines
4.0 KiB
C++
/*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
|
|
//
|
|
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
|
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
|
// 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>
|
|
|
|
#if CUDART_VERSION >= 5000
|
|
|
|
using namespace cvtest;
|
|
|
|
struct Async : testing::TestWithParam<cv::gpu::DeviceInfo>
|
|
{
|
|
cv::gpu::CudaMem src;
|
|
cv::gpu::GpuMat d_src;
|
|
|
|
cv::gpu::CudaMem dst;
|
|
cv::gpu::GpuMat d_dst;
|
|
|
|
virtual void SetUp()
|
|
{
|
|
cv::gpu::DeviceInfo devInfo = GetParam();
|
|
cv::gpu::setDevice(devInfo.deviceID());
|
|
|
|
src = cv::gpu::CudaMem(cv::gpu::CudaMem::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::gpu::CudaMem src = test->src;
|
|
cv::gpu::CudaMem dst = test->dst;
|
|
|
|
cv::Mat dst_gold = cv::Mat::zeros(src.size(), src.type());
|
|
|
|
ASSERT_MAT_NEAR(dst_gold, dst, 0);
|
|
}
|
|
|
|
GPU_TEST_P(Async, MemSet)
|
|
{
|
|
cv::gpu::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::gpu::CudaMem src = test->src;
|
|
cv::gpu::CudaMem dst = test->dst;
|
|
|
|
cv::Mat dst_gold;
|
|
src.createMatHeader().convertTo(dst_gold, CV_32S);
|
|
|
|
ASSERT_MAT_NEAR(dst_gold, dst, 0);
|
|
}
|
|
|
|
GPU_TEST_P(Async, Convert)
|
|
{
|
|
cv::gpu::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();
|
|
}
|
|
|
|
INSTANTIATE_TEST_CASE_P(GPU_Stream, Async, ALL_DEVICES);
|
|
|
|
#endif // CUDART_VERSION >= 5000
|
|
|
|
#endif // HAVE_CUDA
|