StdoutLogger

class torchtune.training.metric_logging.StdoutLogger(*args, **kwargs)

Logger to standard output.

close() → None

Close log resource, flushing if necessary. Logs should not be written after close is called.

log(name: str, data: Union[Tensor, ndarray, int, float], step: int) → None

Log scalar data.

Parameters:

• name (str) – tag name used to group scalars

• data (Scalar) – scalar data to log

• step (int) – step value to record

log_dict(payload: Mapping[str, Union[Tensor, ndarray, int, float]], step: int) → None

Log multiple scalar values.

Parameters:

• payload (Mapping[str, Scalar]) – dictionary of tag name and scalar value

• step (int) – step value to record