module emote.callbacks.logging

Classes

class TensorboardLogger(Callback):

Logs the provided loggable callbacks to tensorboard.

Methods

def __init__(self, loggables, writer, log_interval, log_by_samples) -> None

Arguments:

  • loggables(List[LoggingMixin])
  • writer(SummaryWriter)
  • log_interval(int)
  • log_by_samples(bool)
def begin_training(self, bp_step, bp_samples) -> None

def end_cycle(self, bp_step, bp_samples) -> None

class TerminalLogger(Callback):

Logs the provided loggable callbacks to the python logger.

Methods

def __init__(self, callbacks, log_interval) -> None

Arguments:

  • callbacks(List[LoggingMixin])
  • log_interval(int)
def log_scalars(self, step, suffix) -> None

Logs scalar logs adding optional suffix on the first level. Example: If k='training/loss' and suffix='bp_step', k will be renamed to 'training_bp_step/loss'.

Arguments:

  • step
  • suffix
def end_cycle(self, bp_step) -> None