opencv/modules/gpu/test/test_stream.cpp

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#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