50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
from typing import Dict
|
|
|
|
from ray.train.v2._internal.exceptions import RayTrainError
|
|
from ray.util.annotations import PublicAPI
|
|
|
|
|
|
@PublicAPI(stability="alpha")
|
|
class TrainingFailedError(RayTrainError):
|
|
"""Exception raised when training fails from a `trainer.fit()` call.
|
|
This is either :class:`ray.train.WorkerGroupError` or :class:`ray.train.ControllerError`.
|
|
"""
|
|
|
|
|
|
@PublicAPI(stability="alpha")
|
|
class WorkerGroupError(TrainingFailedError):
|
|
"""Exception raised from the worker group during training.
|
|
|
|
Args:
|
|
error_message: A human-readable error message describing the training worker failures.
|
|
worker_failures: A mapping from worker rank to the exception that
|
|
occurred on that worker during training.
|
|
"""
|
|
|
|
def __init__(self, error_message: str, worker_failures: Dict[int, Exception]):
|
|
super().__init__("Training failed due to worker errors:\n" + error_message)
|
|
self._error_message = error_message
|
|
self.worker_failures = worker_failures
|
|
|
|
def __reduce__(self):
|
|
return (self.__class__, (self._error_message, self.worker_failures))
|
|
|
|
|
|
@PublicAPI(stability="alpha")
|
|
class ControllerError(TrainingFailedError):
|
|
"""Exception raised when training fails due to a controller error.
|
|
|
|
Args:
|
|
controller_failure: The exception that occurred on the controller.
|
|
"""
|
|
|
|
def __init__(self, controller_failure: Exception):
|
|
super().__init__(
|
|
"Training failed due to controller error:\n" + str(controller_failure)
|
|
)
|
|
self.controller_failure = controller_failure
|
|
self.with_traceback(controller_failure.__traceback__)
|
|
|
|
def __reduce__(self):
|
|
return (self.__class__, (self.controller_failure,))
|