ray.train.FailureConfig#
- class ray.train.FailureConfig(max_failures: int = 0, fail_fast: bool | str = False)#
Configuration related to failure handling of each training/tuning run.
- Parameters:
max_failures – Tries to recover a run at least this many times. Will recover from the latest checkpoint if present. Setting to -1 will lead to infinite recovery retries. Setting to 0 will disable retries. Defaults to 0.
fail_fast – Whether to fail upon the first error. Only used for Ray Tune - this does not apply to single training runs (e.g. with
Trainer.fit()
). If fail_fast=’raise’ provided, Ray Tune will automatically raise the exception received by the Trainable. fail_fast=’raise’ can easily leak resources and should be used with caution (it is best used withray.init(local_mode=True)
).
Methods
Attributes