setup_tb_logging#
- ignite.handlers.logger_utils.setup_tb_logging(output_path, trainer, optimizers=None, evaluators=None, log_every_iters=100, **kwargs)[source]#
Method to setup TensorBoard logging on trainer and a list of evaluators. Logged metrics are:
Training metrics, e.g. running average loss values
Learning rate(s)
Evaluation metrics
- Parameters:
output_path (str) – logging directory path
trainer (Engine) – trainer engine
optimizers (Optimizer | dict[str, torch.optim.optimizer.Optimizer] | None) – single or dictionary of torch optimizers. If a dictionary, keys are used as tags arguments for logging.
evaluators (Engine | dict[str, ignite.engine.engine.Engine] | None) – single or dictionary of evaluators. If a dictionary, keys are used as tags arguments for logging.
log_every_iters (int) – interval for loggers attached to iteration events. To log every iteration, value can be set to 1 or None.
kwargs (Any) – optional keyword args to be passed to construct the logger.
- Returns:
- Return type: