opencv/modules/core/src/gpu_stream.cpp

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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.
//
//
// 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.
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// 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,
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//M*/
#include "precomp.hpp"
using namespace cv;
using namespace cv::gpu;
////////////////////////////////////////////////////////////////
// Stream
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#ifndef HAVE_CUDA
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class cv::gpu::Stream::Impl
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{
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public:
Impl(void* ptr = 0)
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{
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(void) ptr;
throw_no_cuda();
}
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};
#else
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class cv::gpu::Stream::Impl
{
public:
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cudaStream_t stream;
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Impl();
Impl(cudaStream_t stream);
~Impl();
};
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cv::gpu::Stream::Impl::Impl() : stream(0)
{
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cudaSafeCall( cudaStreamCreate(&stream) );
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}
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cv::gpu::Stream::Impl::Impl(cudaStream_t stream_) : stream(stream_)
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{
}
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cv::gpu::Stream::Impl::~Impl()
{
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if (stream)
cudaStreamDestroy(stream);
}
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cudaStream_t cv::gpu::StreamAccessor::getStream(const Stream& stream)
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{
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return stream.impl_->stream;
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}
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#endif
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cv::gpu::Stream::Stream()
{
#ifndef HAVE_CUDA
throw_no_cuda();
#else
impl_ = new Impl;
#endif
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}
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bool cv::gpu::Stream::queryIfComplete() const
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{
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#ifndef HAVE_CUDA
throw_no_cuda();
return false;
#else
cudaError_t err = cudaStreamQuery(impl_->stream);
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if (err == cudaErrorNotReady || err == cudaSuccess)
return err == cudaSuccess;
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cudaSafeCall(err);
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return false;
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#endif
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}
void cv::gpu::Stream::waitForCompletion()
{
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#ifndef HAVE_CUDA
throw_no_cuda();
#else
cudaSafeCall( cudaStreamSynchronize(impl_->stream) );
#endif
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}
void cv::gpu::Stream::waitEvent(const Event& event)
{
#ifndef HAVE_CUDA
(void) event;
throw_no_cuda();
#else
cudaSafeCall( cudaStreamWaitEvent(impl_->stream, EventAccessor::getEvent(event), 0) );
#endif
}
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#if defined(HAVE_CUDA) && (CUDART_VERSION >= 5000)
namespace
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{
struct CallbackData
{
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Stream::StreamCallback callback;
void* userData;
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CallbackData(Stream::StreamCallback callback_, void* userData_) : callback(callback_), userData(userData_) {}
};
void CUDART_CB cudaStreamCallback(cudaStream_t, cudaError_t status, void* userData)
{
CallbackData* data = reinterpret_cast<CallbackData*>(userData);
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data->callback(static_cast<int>(status), data->userData);
delete data;
}
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}
#endif
void cv::gpu::Stream::enqueueHostCallback(StreamCallback callback, void* userData)
{
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#ifndef HAVE_CUDA
(void) callback;
(void) userData;
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throw_no_cuda();
#else
#if CUDART_VERSION < 5000
(void) callback;
(void) userData;
CV_Error(cv::Error::StsNotImplemented, "This function requires CUDA 5.0");
#else
CallbackData* data = new CallbackData(callback, userData);
cudaSafeCall( cudaStreamAddCallback(impl_->stream, cudaStreamCallback, data, 0) );
#endif
#endif
}
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Stream& cv::gpu::Stream::Null()
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{
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static Stream s(new Impl(0));
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return s;
}
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cv::gpu::Stream::operator bool_type() const
{
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#ifndef HAVE_CUDA
return 0;
#else
return (impl_->stream != 0) ? &Stream::this_type_does_not_support_comparisons : 0;
#endif
}
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template <> void cv::Ptr<Stream::Impl>::delete_obj()
{
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if (obj) delete obj;
}
////////////////////////////////////////////////////////////////
// Stream
#ifndef HAVE_CUDA
class cv::gpu::Event::Impl
{
public:
Impl(unsigned int)
{
throw_no_cuda();
}
};
#else
class cv::gpu::Event::Impl
{
public:
cudaEvent_t event;
Impl(unsigned int flags);
~Impl();
};
cv::gpu::Event::Impl::Impl(unsigned int flags) : event(0)
{
cudaSafeCall( cudaEventCreateWithFlags(&event, flags) );
}
cv::gpu::Event::Impl::~Impl()
{
if (event)
cudaEventDestroy(event);
}
cudaEvent_t cv::gpu::EventAccessor::getEvent(const Event& event)
{
return event.impl_->event;
}
#endif
cv::gpu::Event::Event(CreateFlags flags)
{
#ifndef HAVE_CUDA
(void) flags;
throw_no_cuda();
#else
impl_ = new Impl(flags);
#endif
}
void cv::gpu::Event::record(Stream& stream)
{
#ifndef HAVE_CUDA
(void) stream;
throw_no_cuda();
#else
cudaSafeCall( cudaEventRecord(impl_->event, StreamAccessor::getStream(stream)) );
#endif
}
bool cv::gpu::Event::queryIfComplete() const
{
#ifndef HAVE_CUDA
throw_no_cuda();
return false;
#else
cudaError_t err = cudaEventQuery(impl_->event);
if (err == cudaErrorNotReady || err == cudaSuccess)
return err == cudaSuccess;
cudaSafeCall(err);
return false;
#endif
}
void cv::gpu::Event::waitForCompletion()
{
#ifndef HAVE_CUDA
throw_no_cuda();
#else
cudaSafeCall( cudaEventSynchronize(impl_->event) );
#endif
}
float cv::gpu::Event::elapsedTime(const Event& start, const Event& end)
{
#ifndef HAVE_CUDA
(void) start;
(void) end;
throw_no_cuda();
return 0.0f;
#else
float ms;
cudaSafeCall( cudaEventElapsedTime(&ms, start.impl_->event, end.impl_->event) );
return ms;
#endif
}
template <> void cv::Ptr<Event::Impl>::delete_obj()
{
if (obj) delete obj;
}