opencv/modules/gpu/src/cudastream.cpp

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#include "precomp.hpp"
//#include "opencv2/gpu/stream_access.hpp"

using namespace cv;
using namespace cv::gpu;


cv::gpu::CudaStream::CudaStream() //: impl( (Impl*)fastMalloc(sizeof(Impl)) )
{
    //cudaSafeCall( cudaStreamCreate( &impl->stream) );
}
cv::gpu::CudaStream::~CudaStream()
{
    if (impl)
    {
        cudaSafeCall( cudaStreamDestroy( *(cudaStream_t*)impl ) );
        cv::fastFree( impl );
    }
}

bool cv::gpu::CudaStream::queryIfComplete()
{
    //cudaError_t err = cudaStreamQuery( *(cudaStream_t*)impl );

    //if (err == cudaSuccess)
    //    return true;

    //if (err == cudaErrorNotReady)
    //    return false;

    ////cudaErrorInvalidResourceHandle
    //cudaSafeCall( err );
    return true;
}
void cv::gpu::CudaStream::waitForCompletion()
{
    cudaSafeCall( cudaStreamSynchronize(  *(cudaStream_t*)impl ) );
}

void cv::gpu::CudaStream::enqueueDownload(const GpuMat& src, Mat& dst)
{
//    cudaMemcpy2DAsync(dst.data, dst.step, src.data, src.step, src.cols * src.elemSize(), src.rows, cudaMemcpyDeviceToHost,
}
void cv::gpu::CudaStream::enqueueUpload(const Mat& src, GpuMat& dst)
{
    CV_Assert(!"Not implemented");
}
void cv::gpu::CudaStream::enqueueCopy(const GpuMat& src, GpuMat& dst)
{
    CV_Assert(!"Not implemented");
}

void cv::gpu::CudaStream::enqueueMemSet(const GpuMat& src, Scalar val)
{
    CV_Assert(!"Not implemented");
}

void cv::gpu::CudaStream::enqueueMemSet(const GpuMat& src, Scalar val, const GpuMat& mask)
{
    CV_Assert(!"Not implemented");
}

void cv::gpu::CudaStream::enqueueConvert(const GpuMat& src, GpuMat& dst, int type)
{
    CV_Assert(!"Not implemented");
}

//struct cudaStream_t& cv::gpu::CudaStream::getStream() { return stream; }