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Source code for ignite.handlers.timing

from time import perf_counter
from typing import Any, Optional

from ignite.engine import Engine, Events

__all__ = ["Timer"]


[docs]class Timer: """Timer object can be used to measure (average) time between events. Args: average: if True, then when ``.value()`` method is called, the returned value will be equal to total time measured, divided by the value of internal counter. Attributes: total (float): total time elapsed when the Timer was running (in seconds). step_count (int): internal counter, useful to measure average time, e.g. of processing a single batch. Incremented with the ``.step()`` method. running (bool): flag indicating if timer is measuring time. Note: When using ``Timer(average=True)`` do not forget to call ``timer.step()`` every time an event occurs. See the examples below. Examples: Measuring total time of the epoch: .. code-block:: python from ignite.handlers import Timer import time work = lambda : time.sleep(0.1) idle = lambda : time.sleep(0.1) t = Timer(average=False) for _ in range(10): work() idle() t.value() # 2.003073937026784 Measuring average time of the epoch: .. code-block:: python t = Timer(average=True) for _ in range(10): work() idle() t.step() t.value() # 0.2003182829997968 Measuring average time it takes to execute a single ``work()`` call: .. code-block:: python t = Timer(average=True) for _ in range(10): t.resume() work() t.pause() idle() t.step() t.value() # 0.10016545779653825 Using the Timer to measure average time it takes to process a single batch of examples: .. code-block:: python from ignite.engine import Engine, Events from ignite.handlers import Timer trainer = Engine(training_update_function) timer = Timer(average=True) timer.attach(trainer, start=Events.STARTED, resume=Events.ITERATION_STARTED, pause=Events.ITERATION_COMPLETED, step=Events.ITERATION_COMPLETED) """ def __init__(self, average: bool = False): self._average = average self.reset()
[docs] def attach( self, engine: Engine, start: Events = Events.STARTED, pause: Events = Events.COMPLETED, resume: Optional[Events] = None, step: Optional[Events] = None, ) -> "Timer": """Register callbacks to control the timer. Args: engine: Engine that this timer will be attached to. start: Event which should start (reset) the timer. pause: Event which should pause the timer. resume: Event which should resume the timer. step: Event which should call the `step` method of the counter. Returns: this timer """ engine.add_event_handler(start, self.reset) engine.add_event_handler(pause, self.pause) if resume is not None: engine.add_event_handler(resume, self.resume) if step is not None: engine.add_event_handler(step, self.step) return self
[docs] def reset(self, *args: Any) -> "Timer": """Reset the timer to zero.""" self._t0 = perf_counter() self.total = 0.0 self.step_count = 0.0 self.running = True return self
[docs] def pause(self, *args: Any) -> None: """Pause the current running timer.""" if self.running: self.total += self._elapsed() self.running = False
[docs] def resume(self, *args: Any) -> None: """Resume the current running timer.""" if not self.running: self.running = True self._t0 = perf_counter()
[docs] def value(self) -> float: """Return the average timer value.""" total = self.total if self.running: total += self._elapsed() if self._average: denominator = max(self.step_count, 1.0) else: denominator = 1.0 return total / denominator
[docs] def step(self, *args: Any) -> None: """Increment the timer.""" self.step_count += 1.0
def _elapsed(self) -> float: return perf_counter() - self._t0

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