opencv/modules/gpu/src/cudastream.cpp
2010-07-19 10:49:35 +00:00

175 lines
6.8 KiB
C++

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#include "precomp.hpp"
using namespace cv;
using namespace cv::gpu;
#if !defined (HAVE_CUDA)
void cv::gpu::CudaStream::create() { throw_nogpu(); }
void cv::gpu::CudaStream::release() { throw_nogpu(); }
cv::gpu::CudaStream::CudaStream() : impl(0) { throw_nogpu(); }
cv::gpu::CudaStream::~CudaStream() { throw_nogpu(); }
cv::gpu::CudaStream::CudaStream(const CudaStream& stream) { throw_nogpu(); }
CudaStream& cv::gpu::CudaStream::operator=(const CudaStream& stream) { throw_nogpu(); return *this; }
bool cv::gpu::CudaStream::queryIfComplete() { throw_nogpu(); return true; }
void cv::gpu::CudaStream::waitForCompletion() { throw_nogpu(); }
void cv::gpu::CudaStream::enqueueDownload(const GpuMat& src, Mat& dst) { throw_nogpu(); }
void cv::gpu::CudaStream::enqueueDownload(const GpuMat& src, MatPL& dst) { throw_nogpu(); }
void cv::gpu::CudaStream::enqueueUpload(const MatPL& src, GpuMat& dst) { throw_nogpu(); }
void cv::gpu::CudaStream::enqueueUpload(const Mat& src, GpuMat& dst) { throw_nogpu(); }
void cv::gpu::CudaStream::enqueueCopy(const GpuMat& src, GpuMat& dst) { throw_nogpu(); }
void cv::gpu::CudaStream::enqueueMemSet(const GpuMat& src, Scalar val) { throw_nogpu(); }
void cv::gpu::CudaStream::enqueueMemSet(const GpuMat& src, Scalar val, const GpuMat& mask) { throw_nogpu(); }
void cv::gpu::CudaStream::enqueueConvert(const GpuMat& src, GpuMat& dst, int type, double a, double b) { throw_nogpu(); }
#else /* !defined (HAVE_CUDA) */
#include "opencv2/gpu/stream_accessor.hpp"
struct CudaStream::Impl
{
cudaStream_t stream;
int ref_counter;
};
namespace
{
template<class S, class D> void devcopy(const S& src, D& dst, cudaStream_t s, cudaMemcpyKind k)
{
dst.create(src.size(), src.type());
size_t bwidth = src.cols * src.elemSize();
cudaSafeCall( cudaMemcpy2DAsync(dst.data, dst.step, src.data, src.step, bwidth, src.rows, k, s) );
};
}
CV_EXPORTS cudaStream_t cv::gpu::StreamAccessor::getStream(const CudaStream& stream) { return stream.impl->stream; };
void cv::gpu::CudaStream::create()
{
if (impl)
release();
cudaStream_t stream;
cudaSafeCall( cudaStreamCreate( &stream ) );
impl = (CudaStream::Impl*)fastMalloc(sizeof(CudaStream::Impl));
impl->stream = stream;
impl->ref_counter = 1;
}
void cv::gpu::CudaStream::release()
{
if( impl && CV_XADD(&impl->ref_counter, -1) == 1 )
{
cudaSafeCall( cudaStreamDestroy( impl->stream ) );
cv::fastFree( impl );
}
}
cv::gpu::CudaStream::CudaStream() : impl(0) { create(); }
cv::gpu::CudaStream::~CudaStream() { release(); }
cv::gpu::CudaStream::CudaStream(const CudaStream& stream) : impl(stream.impl)
{
if( impl )
CV_XADD(&impl->ref_counter, 1);
}
CudaStream& cv::gpu::CudaStream::operator=(const CudaStream& stream)
{
if( this != &stream )
{
if( stream.impl )
CV_XADD(&stream.impl->ref_counter, 1);
release();
impl = stream.impl;
}
return *this;
}
bool cv::gpu::CudaStream::queryIfComplete()
{
cudaError_t err = cudaStreamQuery( impl->stream );
if (err == cudaErrorNotReady || err == cudaSuccess)
return err == cudaSuccess;
cudaSafeCall(err);
return false;
}
void cv::gpu::CudaStream::waitForCompletion() { cudaSafeCall( cudaStreamSynchronize( impl->stream ) ); }
void cv::gpu::CudaStream::enqueueDownload(const GpuMat& src, Mat& dst)
{
// if not -> allocation will be done, but after that dst will not point to page locked memory
CV_Assert(src.cols == dst.cols && src.rows == dst.rows && src.type() == dst.type() )
devcopy(src, dst, impl->stream, cudaMemcpyDeviceToHost);
}
void cv::gpu::CudaStream::enqueueDownload(const GpuMat& src, MatPL& dst) { devcopy(src, dst, impl->stream, cudaMemcpyDeviceToHost); }
void cv::gpu::CudaStream::enqueueUpload(const MatPL& src, GpuMat& dst){ devcopy(src, dst, impl->stream, cudaMemcpyHostToDevice); }
void cv::gpu::CudaStream::enqueueUpload(const Mat& src, GpuMat& dst) { devcopy(src, dst, impl->stream, cudaMemcpyHostToDevice); }
void cv::gpu::CudaStream::enqueueCopy(const GpuMat& src, GpuMat& dst) { devcopy(src, dst, impl->stream, cudaMemcpyDeviceToDevice); }
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, double a, double b)
{
CV_Assert(!"Not implemented");
}
#endif /* !defined (HAVE_CUDA) */