Shortcuts

Source code for ignite.contrib.handlers.custom_events

import warnings

from ignite.engine import EventEnum, Events, State


[docs]class CustomPeriodicEvent: """DEPRECATED. Use filtered events instead. Handler to define a custom periodic events as a number of elapsed iterations/epochs for an engine. When custom periodic event is created and attached to an engine, the following events are fired: 1) K iterations is specified: - `Events.ITERATIONS_<K>_STARTED` - `Events.ITERATIONS_<K>_COMPLETED` 1) K epochs is specified: - `Events.EPOCHS_<K>_STARTED` - `Events.EPOCHS_<K>_COMPLETED` Examples: .. code-block:: python from ignite.engine import Engine, Events from ignite.contrib.handlers import CustomPeriodicEvent # Let's define an event every 1000 iterations cpe1 = CustomPeriodicEvent(n_iterations=1000) cpe1.attach(trainer) # Let's define an event every 10 epochs cpe2 = CustomPeriodicEvent(n_epochs=10) cpe2.attach(trainer) @trainer.on(cpe1.Events.ITERATIONS_1000_COMPLETED) def on_every_1000_iterations(engine): # run a computation after 1000 iterations # ... print(engine.state.iterations_1000) @trainer.on(cpe2.Events.EPOCHS_10_STARTED) def on_every_10_epochs(engine): # run a computation every 10 epochs # ... print(engine.state.epochs_10) Args: n_iterations (int, optional): number iterations of the custom periodic event n_epochs (int, optional): number iterations of the custom periodic event. Argument is optional, but only one, either n_iterations or n_epochs should defined. """ def __init__(self, n_iterations=None, n_epochs=None): warnings.warn( "CustomPeriodicEvent is deprecated since 0.4.0 and will be removed in 0.5.0. Use filtered events instead.", DeprecationWarning, ) if n_iterations is not None and (not isinstance(n_iterations, int) or n_iterations < 1): raise ValueError("Argument n_iterations should be positive integer number") if n_epochs is not None and (not isinstance(n_epochs, int) or n_epochs < 1): raise ValueError("Argument n_epochs should be positive integer number") if (n_iterations is None and n_epochs is None) or (n_iterations and n_epochs): raise ValueError("Either n_iterations or n_epochs should be defined") if n_iterations: prefix = "iterations" self.state_attr = "iteration" self.period = n_iterations if n_epochs: prefix = "epochs" self.state_attr = "epoch" self.period = n_epochs self.custom_state_attr = "{}_{}".format(prefix, self.period) event_name = "{}_{}".format(prefix.upper(), self.period) setattr( self, "Events", EventEnum("Events", " ".join(["{}_STARTED".format(event_name), "{}_COMPLETED".format(event_name)])), ) # Update State.event_to_attr for e in self.Events: State.event_to_attr[e] = self.custom_state_attr # Create aliases self._periodic_event_started = getattr(self.Events, "{}_STARTED".format(event_name)) self._periodic_event_completed = getattr(self.Events, "{}_COMPLETED".format(event_name)) def _on_started(self, engine): setattr(engine.state, self.custom_state_attr, 0) def _on_periodic_event_started(self, engine): if getattr(engine.state, self.state_attr) % self.period == 1: setattr(engine.state, self.custom_state_attr, getattr(engine.state, self.custom_state_attr) + 1) engine.fire_event(self._periodic_event_started) def _on_periodic_event_completed(self, engine): if getattr(engine.state, self.state_attr) % self.period == 0: engine.fire_event(self._periodic_event_completed) def attach(self, engine): engine.register_events(*self.Events) engine.add_event_handler(Events.STARTED, self._on_started) engine.add_event_handler( getattr(Events, "{}_STARTED".format(self.state_attr.upper())), self._on_periodic_event_started ) engine.add_event_handler( getattr(Events, "{}_COMPLETED".format(self.state_attr.upper())), self._on_periodic_event_completed )

© Copyright 2024, PyTorch-Ignite Contributors. Last updated on 04/17/2024, 8:23:37 PM.

Built with Sphinx using a theme provided by Read the Docs.