OpenCV  4.10.0
Open Source Computer Vision
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Public Types | Public Member Functions | Static Public Member Functions | Friends | List of all members
cv::cuda::Stream Class Reference

This class encapsulates a queue of asynchronous calls. More...

#include <opencv2/core/cuda.hpp>

Collaboration diagram for cv::cuda::Stream:

Public Types

typedef void(* StreamCallback) (int status, void *userData)
 

Public Member Functions

 Stream ()
 creates a new asynchronous stream
 
 Stream (const Ptr< GpuMat::Allocator > &allocator)
 creates a new asynchronous stream with custom allocator
 
 Stream (const size_t cudaFlags)
 creates a new Stream using the cudaFlags argument to determine the behaviors of the stream
 
void * cudaPtr () const
 return Pointer to CUDA stream
 
void enqueueHostCallback (StreamCallback callback, void *userData)
 Adds a callback to be called on the host after all currently enqueued items in the stream have completed.
 
 operator bool_type () const
 returns true if stream object is not default (!= 0)
 
bool queryIfComplete () const
 Returns true if the current stream queue is finished. Otherwise, it returns false.
 
void waitEvent (const Event &event)
 Makes a compute stream wait on an event.
 
void waitForCompletion ()
 Blocks the current CPU thread until all operations in the stream are complete.
 

Static Public Member Functions

static StreamNull ()
 return Stream object for default CUDA stream
 

Friends

class BufferPool
 
class DefaultDeviceInitializer
 
struct StreamAccessor
 

Detailed Description

This class encapsulates a queue of asynchronous calls.

Note
Currently, you may face problems if an operation is enqueued twice with different data. Some functions use the constant GPU memory, and next call may update the memory before the previous one has been finished. But calling different operations asynchronously is safe because each operation has its own constant buffer. Memory copy/upload/download/set operations to the buffers you hold are also safe.
The Stream class is not thread-safe. Please use different Stream objects for different CPU threads.
void thread1()
{
cv::cuda::func1(..., stream1);
}
void thread2()
{
cv::cuda::func2(..., stream2);
}
This class encapsulates a queue of asynchronous calls.
Definition cuda.hpp:908
Note
By default all CUDA routines are launched in Stream::Null() object, if the stream is not specified by user. In multi-threading environment the stream objects must be passed explicitly (see previous note).

Member Typedef Documentation

◆ StreamCallback

typedef void(* cv::cuda::Stream::StreamCallback) (int status, void *userData)

Constructor & Destructor Documentation

◆ Stream() [1/3]

cv::cuda::Stream::Stream ( )
Python:
cv.cuda.Stream() -> <cuda_Stream object>
cv.cuda.Stream(allocator) -> <cuda_Stream object>
cv.cuda.Stream(cudaFlags) -> <cuda_Stream object>

creates a new asynchronous stream

◆ Stream() [2/3]

cv::cuda::Stream::Stream ( const Ptr< GpuMat::Allocator > &  allocator)
Python:
cv.cuda.Stream() -> <cuda_Stream object>
cv.cuda.Stream(allocator) -> <cuda_Stream object>
cv.cuda.Stream(cudaFlags) -> <cuda_Stream object>

creates a new asynchronous stream with custom allocator

◆ Stream() [3/3]

cv::cuda::Stream::Stream ( const size_t  cudaFlags)
Python:
cv.cuda.Stream() -> <cuda_Stream object>
cv.cuda.Stream(allocator) -> <cuda_Stream object>
cv.cuda.Stream(cudaFlags) -> <cuda_Stream object>

creates a new Stream using the cudaFlags argument to determine the behaviors of the stream

Note
The cudaFlags parameter is passed to the underlying api cudaStreamCreateWithFlags() and supports the same parameter values.
// creates an OpenCV cuda::Stream that manages an asynchronous, non-blocking,
// non-default CUDA stream
cv::cuda::Stream cvStream(cudaStreamNonBlocking);

Member Function Documentation

◆ cudaPtr()

void * cv::cuda::Stream::cudaPtr ( ) const
Python:
cv.cuda.Stream.cudaPtr() -> retval

return Pointer to CUDA stream

◆ enqueueHostCallback()

void cv::cuda::Stream::enqueueHostCallback ( StreamCallback  callback,
void *  userData 
)

Adds a callback to be called on the host after all currently enqueued items in the stream have completed.

Note
Callbacks must not make any CUDA API calls. Callbacks must not perform any synchronization that may depend on outstanding device work or other callbacks that are not mandated to run earlier. Callbacks without a mandated order (in independent streams) execute in undefined order and may be serialized.

◆ Null()

static Stream & cv::cuda::Stream::Null ( )
static
Python:
cv.cuda.Stream.Null() -> retval
cv.cuda.Stream_Null() -> retval

return Stream object for default CUDA stream

◆ operator bool_type()

cv::cuda::Stream::operator bool_type ( ) const

returns true if stream object is not default (!= 0)

◆ queryIfComplete()

bool cv::cuda::Stream::queryIfComplete ( ) const
Python:
cv.cuda.Stream.queryIfComplete() -> retval

Returns true if the current stream queue is finished. Otherwise, it returns false.

◆ waitEvent()

void cv::cuda::Stream::waitEvent ( const Event event)
Python:
cv.cuda.Stream.waitEvent(event) -> None

Makes a compute stream wait on an event.

◆ waitForCompletion()

void cv::cuda::Stream::waitForCompletion ( )
Python:
cv.cuda.Stream.waitForCompletion() -> None

Blocks the current CPU thread until all operations in the stream are complete.

Friends And Related Symbol Documentation

◆ BufferPool

friend class BufferPool
friend

◆ DefaultDeviceInitializer

friend class DefaultDeviceInitializer
friend

◆ StreamAccessor

friend struct StreamAccessor
friend

The documentation for this class was generated from the following file: