Source code for catalyst.core.callback
from typing import TYPE_CHECKING # isort:skip
from enum import IntFlag
if TYPE_CHECKING:
from .state import _State
[docs]class CallbackOrder(IntFlag):
Internal = 0 # pytorch
Metric = 20 # pytorch
MetricAggregation = 40 # pytorch
Optimizer = 60 # pytorch
Validation = 80 # numpy
Logging = 100 # numpy
Scheduler = 120 # numpy
External = 200 # numpy
[docs]class CallbackNode(IntFlag):
All = 0
Master = 1
Worker = 2
class CallbackType(IntFlag):
Stage = 0
Experiment = 1
[docs]class Callback:
"""
Abstract class that all callback (e.g., Logger) classes extends from.
Must be extended before usage.
usage example:
.. code:: bash
-- stage start
---- epoch start (one epoch - one run of every loader)
------ loader start
-------- batch start
-------- batch handler
-------- batch end
------ loader end
---- epoch end
-- stage end
exception – if an Exception was raised
All callbacks has ``order`` value from ``CallbackOrder``
and ``node`` value from ``CallbackNode``
"""
[docs] def __init__(
self,
order: int,
node: int = CallbackNode.All,
type: int = CallbackType.Stage,
):
"""
For order see ``CallbackOrder`` class
"""
self.order = order
self.node = node
self.type = type
[docs] def on_stage_start(self, state: "_State"):
pass
[docs] def on_stage_end(self, state: "_State"):
pass
[docs] def on_epoch_start(self, state: "_State"):
pass
[docs] def on_epoch_end(self, state: "_State"):
pass
[docs] def on_loader_start(self, state: "_State"):
pass
[docs] def on_loader_end(self, state: "_State"):
pass
[docs] def on_batch_start(self, state: "_State"):
pass
[docs] def on_batch_end(self, state: "_State"):
pass
[docs] def on_exception(self, state: "_State"):
pass
__all__ = [
"CallbackOrder",
"CallbackNode",
"Callback",
]