2012-10-17 07:18:30 +08:00
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// If you do not agree to this license, do not download, install,
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// copy or use the software.
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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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// Redistribution and use in source and binary forms, with or without modification,
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// are permitted provided that the following conditions are met:
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//
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// * Redistribution's of source code must retain the above copyright notice,
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// this list of conditions and the following disclaimer.
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//
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// * Redistribution's in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// and/or other materials provided with the distribution.
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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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// This software is provided by the copyright holders and contributors "as is" and
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// any express or implied warranties, including, but not limited to, the implied
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// warranties of merchantability and fitness for a particular purpose are disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// indirect, incidental, special, exemplary, or consequential damages
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// (including, but not limited to, procurement of substitute goods or services;
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// loss of use, data, or profits; or business interruption) however caused
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// and on any theory of liability, whether in contract, strict liability,
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// or tort (including negligence or otherwise) arising in any way out of
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// the use of this software, even if advised of the possibility of such damage.
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//
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//M*/
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#include "precomp.hpp"
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using namespace cv;
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using namespace cv::gpu;
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2013-04-23 21:11:45 +08:00
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////////////////////////////////////////////////////////////////
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// Stream
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2013-04-16 21:43:49 +08:00
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#ifndef HAVE_CUDA
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2012-10-17 07:18:30 +08:00
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2013-04-16 21:43:49 +08:00
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class cv::gpu::Stream::Impl
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2012-10-17 07:18:30 +08:00
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{
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2013-04-16 21:43:49 +08:00
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public:
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Impl(void* ptr = 0)
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2012-10-17 07:18:30 +08:00
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{
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2013-04-16 21:43:49 +08:00
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(void) ptr;
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throw_no_cuda();
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2013-02-13 19:51:27 +08:00
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}
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2013-04-16 21:43:49 +08:00
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};
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#else
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2012-10-17 07:18:30 +08:00
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2013-04-16 21:43:49 +08:00
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class cv::gpu::Stream::Impl
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{
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public:
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2012-10-17 07:18:30 +08:00
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cudaStream_t stream;
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2013-04-16 21:43:49 +08:00
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Impl();
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Impl(cudaStream_t stream);
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~Impl();
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2013-02-13 19:51:27 +08:00
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};
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2012-10-17 07:18:30 +08:00
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2013-04-16 21:43:49 +08:00
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cv::gpu::Stream::Impl::Impl() : stream(0)
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2013-02-13 19:51:27 +08:00
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{
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2013-04-16 21:43:49 +08:00
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cudaSafeCall( cudaStreamCreate(&stream) );
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2012-10-17 07:18:30 +08:00
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}
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2013-04-16 21:43:49 +08:00
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cv::gpu::Stream::Impl::Impl(cudaStream_t stream_) : stream(stream_)
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2012-10-17 07:18:30 +08:00
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{
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}
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2013-04-16 21:43:49 +08:00
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cv::gpu::Stream::Impl::~Impl()
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2013-02-13 19:51:27 +08:00
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{
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2013-04-16 21:43:49 +08:00
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if (stream)
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cudaStreamDestroy(stream);
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2013-02-13 19:51:27 +08:00
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}
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2012-10-17 07:18:30 +08:00
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2013-04-16 21:43:49 +08:00
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cudaStream_t cv::gpu::StreamAccessor::getStream(const Stream& stream)
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2012-10-17 07:18:30 +08:00
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{
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2013-04-16 21:43:49 +08:00
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return stream.impl_->stream;
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2012-10-17 07:18:30 +08:00
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}
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2013-02-13 19:51:27 +08:00
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2013-04-16 21:43:49 +08:00
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#endif
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2013-02-13 19:51:27 +08:00
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2013-04-16 21:43:49 +08:00
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cv::gpu::Stream::Stream()
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{
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#ifndef HAVE_CUDA
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throw_no_cuda();
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#else
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impl_ = new Impl;
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#endif
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2012-10-17 07:18:30 +08:00
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}
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2013-04-16 21:43:49 +08:00
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bool cv::gpu::Stream::queryIfComplete() const
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2012-10-17 07:18:30 +08:00
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{
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2013-04-16 21:43:49 +08:00
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#ifndef HAVE_CUDA
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throw_no_cuda();
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return false;
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#else
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cudaError_t err = cudaStreamQuery(impl_->stream);
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2012-10-17 07:18:30 +08:00
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if (err == cudaErrorNotReady || err == cudaSuccess)
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return err == cudaSuccess;
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2013-04-08 16:37:36 +08:00
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cudaSafeCall(err);
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2012-10-17 07:18:30 +08:00
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return false;
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2013-04-16 21:43:49 +08:00
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#endif
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2012-10-17 07:18:30 +08:00
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}
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2013-02-13 19:51:27 +08:00
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void cv::gpu::Stream::waitForCompletion()
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{
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2013-04-16 21:43:49 +08:00
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#ifndef HAVE_CUDA
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throw_no_cuda();
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#else
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cudaSafeCall( cudaStreamSynchronize(impl_->stream) );
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#endif
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2012-10-17 07:18:30 +08:00
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}
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2013-04-23 21:11:45 +08:00
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void cv::gpu::Stream::waitEvent(const Event& event)
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{
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#ifndef HAVE_CUDA
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(void) event;
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throw_no_cuda();
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#else
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cudaSafeCall( cudaStreamWaitEvent(impl_->stream, EventAccessor::getEvent(event), 0) );
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#endif
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}
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2013-04-16 21:43:49 +08:00
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#if defined(HAVE_CUDA) && (CUDART_VERSION >= 5000)
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2013-02-13 19:51:27 +08:00
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namespace
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2012-10-17 07:18:30 +08:00
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{
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2013-02-13 19:51:27 +08:00
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struct CallbackData
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{
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2013-04-16 21:43:49 +08:00
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Stream::StreamCallback callback;
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2013-02-13 19:51:27 +08:00
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void* userData;
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2013-04-16 21:43:49 +08:00
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CallbackData(Stream::StreamCallback callback_, void* userData_) : callback(callback_), userData(userData_) {}
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2013-02-13 19:51:27 +08:00
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};
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void CUDART_CB cudaStreamCallback(cudaStream_t, cudaError_t status, void* userData)
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{
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CallbackData* data = reinterpret_cast<CallbackData*>(userData);
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2013-04-16 21:43:49 +08:00
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data->callback(static_cast<int>(status), data->userData);
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2013-02-13 19:51:27 +08:00
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delete data;
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}
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2012-10-17 07:18:30 +08:00
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}
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2013-02-13 19:51:27 +08:00
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#endif
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void cv::gpu::Stream::enqueueHostCallback(StreamCallback callback, void* userData)
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{
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2013-04-16 21:43:49 +08:00
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#ifndef HAVE_CUDA
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2013-02-13 19:51:27 +08:00
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(void) callback;
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(void) userData;
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2013-04-16 21:43:49 +08:00
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throw_no_cuda();
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#else
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#if CUDART_VERSION < 5000
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(void) callback;
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(void) userData;
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CV_Error(cv::Error::StsNotImplemented, "This function requires CUDA 5.0");
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#else
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CallbackData* data = new CallbackData(callback, userData);
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cudaSafeCall( cudaStreamAddCallback(impl_->stream, cudaStreamCallback, data, 0) );
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#endif
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2013-02-13 19:51:27 +08:00
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#endif
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}
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2012-10-17 07:18:30 +08:00
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2013-04-16 21:43:49 +08:00
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Stream& cv::gpu::Stream::Null()
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2012-10-17 07:18:30 +08:00
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{
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2013-04-16 21:43:49 +08:00
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static Stream s(new Impl(0));
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2012-10-17 07:18:30 +08:00
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return s;
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}
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2013-04-16 21:43:49 +08:00
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cv::gpu::Stream::operator bool_type() const
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2013-02-13 19:51:27 +08:00
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{
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2013-04-16 21:43:49 +08:00
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#ifndef HAVE_CUDA
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return 0;
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#else
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return (impl_->stream != 0) ? &Stream::this_type_does_not_support_comparisons : 0;
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#endif
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2013-02-13 19:51:27 +08:00
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}
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2013-04-16 21:43:49 +08:00
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template <> void cv::Ptr<Stream::Impl>::delete_obj()
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2013-02-13 19:51:27 +08:00
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{
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2013-04-16 21:43:49 +08:00
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if (obj) delete obj;
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2013-02-13 19:51:27 +08:00
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}
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2013-04-23 21:11:45 +08:00
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////////////////////////////////////////////////////////////////
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// Stream
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#ifndef HAVE_CUDA
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class cv::gpu::Event::Impl
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{
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public:
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Impl(unsigned int)
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{
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throw_no_cuda();
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}
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};
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#else
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class cv::gpu::Event::Impl
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{
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public:
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cudaEvent_t event;
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Impl(unsigned int flags);
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~Impl();
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};
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cv::gpu::Event::Impl::Impl(unsigned int flags) : event(0)
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{
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cudaSafeCall( cudaEventCreateWithFlags(&event, flags) );
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}
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cv::gpu::Event::Impl::~Impl()
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{
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if (event)
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cudaEventDestroy(event);
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}
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cudaEvent_t cv::gpu::EventAccessor::getEvent(const Event& event)
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{
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return event.impl_->event;
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}
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#endif
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cv::gpu::Event::Event(CreateFlags flags)
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{
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#ifndef HAVE_CUDA
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(void) flags;
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throw_no_cuda();
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#else
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impl_ = new Impl(flags);
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#endif
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}
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void cv::gpu::Event::record(Stream& stream)
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{
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#ifndef HAVE_CUDA
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(void) stream;
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throw_no_cuda();
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#else
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cudaSafeCall( cudaEventRecord(impl_->event, StreamAccessor::getStream(stream)) );
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#endif
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}
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bool cv::gpu::Event::queryIfComplete() const
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{
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#ifndef HAVE_CUDA
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throw_no_cuda();
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return false;
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#else
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cudaError_t err = cudaEventQuery(impl_->event);
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if (err == cudaErrorNotReady || err == cudaSuccess)
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return err == cudaSuccess;
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cudaSafeCall(err);
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return false;
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#endif
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}
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void cv::gpu::Event::waitForCompletion()
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{
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#ifndef HAVE_CUDA
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throw_no_cuda();
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#else
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cudaSafeCall( cudaEventSynchronize(impl_->event) );
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#endif
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}
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float cv::gpu::Event::elapsedTime(const Event& start, const Event& end)
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{
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#ifndef HAVE_CUDA
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(void) start;
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(void) end;
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throw_no_cuda();
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return 0.0f;
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#else
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float ms;
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cudaSafeCall( cudaEventElapsedTime(&ms, start.impl_->event, end.impl_->event) );
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return ms;
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#endif
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}
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template <> void cv::Ptr<Event::Impl>::delete_obj()
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{
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if (obj) delete obj;
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}
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