Class FailureConfig

python/ray/train/v2/api/config.py:343–361

Configuration related to failure handling of each training run. Args: max_failures: Tries to recover a run from training worker errors at least this many times. Will recover from the latest checkpoint if present. Setting to -1 will lead to infinite recovery retri

@dataclass
class FailureConfig(FailureConfigV1):
    """Configuration related to failure handling of each training run.

    Args:
        max_failures: Tries to recover a run from training worker errors 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.
        controller_failure_limit: [DeveloperAPI] The maximum number of controller failures to tolerate.
            Setting to -1 will lead to infinite controller retries.
            Setting to 0 will disable controller retries. Defaults to -1.
    """

    fail_fast: Union[bool, str] = _DEPRECATED
    controller_failure_limit: int = -1

    def __post_init__(self):
        if self.fail_fast != _DEPRECATED:
            raise DeprecationWarning(FAIL_FAST_DEPRECATION_MESSAGE)


@PublicAPI(stability="alpha")