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import torch
class Event:
r"""Wrapper around an MPS event.
MPS events are synchronization markers that can be used to monitor the
device's progress, to accurately measure timing, and to synchronize MPS streams.
Args:
enable_timing (bool, optional): indicates if the event should measure time
(default: ``False``)
"""
def __init__(self, enable_timing=False):
self.__eventId = torch._C._mps_acquireEvent(enable_timing)
def __del__(self):
# checks if torch._C is already destroyed
if hasattr(torch._C, "_mps_releaseEvent") and self.__eventId > 0:
torch._C._mps_releaseEvent(self.__eventId)
def record(self):
r"""Records the event in the default stream."""
torch._C._mps_recordEvent(self.__eventId)
def wait(self):
r"""Makes all future work submitted to the default stream wait for this event."""
torch._C._mps_waitForEvent(self.__eventId)
def query(self):
r"""Returns True if all work currently captured by event has completed."""
return torch._C._mps_queryEvent(self.__eventId)
def synchronize(self):
r"""Waits until the completion of all work currently captured in this event.
This prevents the CPU thread from proceeding until the event completes.
"""
torch._C._mps_synchronizeEvent(self.__eventId)
def elapsed_time(self, end_event):
r"""Returns the time elapsed in milliseconds after the event was
recorded and before the end_event was recorded.
"""
return torch._C._mps_elapsedTimeOfEvents(self.__eventId, end_event.__eventId)
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