Event¶

class paddle.device. Event ( device=None, enable_timing=False, blocking=False, interprocess=False ) [source]

A device event wrapper around StreamBase.

Parameters

device (str|paddle.CUDAPlace(n)|paddle.CustomPlace(n)) – Which device the stream runn on. If device is None, the device is the current device. Default: None. It can be gpu, gpu:x, custom_device, custom_device:x, where custom_device is the name of CustomDevicec, where x is the index of the GPUs, XPUs. And it can be paddle.CUDAPlace(n) or paddle.CustomPlace(n).
enable_timing (bool, optional) – indicates if the event should measure time, default is False
blocking (bool, optional) – if True, wait will be blocking, default is False
interprocess (bool) – if True, the event can be shared between processes, default is False

Returns

The event.

Return type

Event

Examples

           >>> 
>>> import paddle

>>> paddle.set_device('custom_cpu')
>>> e1 = paddle.device.Event()
>>> e2 = paddle.device.Event('custom_cpu')
>>> e3 = paddle.device.Event('custom_cpu:0')
>>> e4 = paddle.device.Event(paddle.CustomPlace('custom_cpu', 0))

          

record ( stream=None ) record¶

Records the event in a given stream.

Parameters

stream (Stream, optional) – The given stream. By default, stream is None,
current_stream. (event will be recorded in) –

Returns

None.

Examples

             >>> 
>>> import paddle

>>> paddle.set_device('custom_cpu')
>>> e = paddle.device.Event()
>>> e.record()

>>> s = paddle.device.Stream()
>>> e.record(s)

            

query ( ) query¶

Checks if all work currently captured by event has completed.

Returns: Whether all work currently captured by event has completed.
Return type: bool

Examples

             >>> 
>>> import paddle

>>> paddle.set_device('custom_cpu')
>>> e = paddle.device.Event()
>>> e.record()
>>> e.query()

            

elapsed_time ( end_event ) elapsed_time¶

Returns the time elapsed in milliseconds after the event was recorded and before the end_event was recorded.

Returns: The time.
Return type: int

Examples

             >>> 
>>> import paddle

>>> paddle.set_device('custom_cpu')
>>> e1 = paddle.device.Event()
>>> e1.record()

>>> e2 = paddle.device.Event()
>>> e2.record()
>>> e1.elapsed_time(e2)

            

synchronize ( ) [source] synchronize¶

Waits for the event to complete. Waits until the completion of all work currently captured in this event. This prevents the CPU thread from proceeding until the event completes.

Returns: None.

Examples

             >>> 
>>> import paddle

>>> paddle.set_device('custom_cpu')
>>> e = paddle.device.Event()
>>> e.record()
>>> e.synchronize()

            