Open Source Computer Vision Library https://opencv.org/
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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.
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//
// 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.
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// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
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// this list of conditions and the following disclaimer.
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#include "test_precomp.hpp"
#ifdef HAVE_CUDA
using namespace cvtest;
#if CUDART_VERSION >= 5000
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());
cv::Mat m = randomMat(cv::Size(128, 128), CV_8UC1);
src.create(m.size(), m.type(), cv::gpu::CudaMem::ALLOC_PAGE_LOCKED);
m.copyTo(src.createMatHeader());
}
};
void checkMemSet(cv::gpu::Stream&, int status, void* userData)
{
ASSERT_EQ(cudaSuccess, status);
Async* test = reinterpret_cast<Async*>(userData);
cv::Mat src = test->src;
cv::Mat 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);
stream.enqueueMemSet(d_dst, cv::Scalar::all(0));
stream.enqueueDownload(d_dst, dst);
Async* test = this;
stream.enqueueHostCallback(checkMemSet, test);
stream.waitForCompletion();
}
void checkConvert(cv::gpu::Stream&, int status, void* userData)
{
ASSERT_EQ(cudaSuccess, status);
Async* test = reinterpret_cast<Async*>(userData);
cv::Mat src = test->src;
cv::Mat dst = test->dst;
cv::Mat dst_gold;
src.convertTo(dst_gold, CV_32S);
ASSERT_MAT_NEAR(dst_gold, dst, 0);
}
GPU_TEST_P(Async, Convert)
{
cv::gpu::Stream stream;
stream.enqueueUpload(src, d_src);
stream.enqueueConvert(d_src, d_dst, CV_32S);
stream.enqueueDownload(d_dst, dst);
Async* test = this;
stream.enqueueHostCallback(checkConvert, test);
stream.waitForCompletion();
}
INSTANTIATE_TEST_CASE_P(GPU_Stream, Async, ALL_DEVICES);
#endif
#endif // HAVE_CUDA