loggers

Modules

composer.loggers.file_logger	Logs to a file.
composer.loggers.in_memory_logger	Logs metrics to dictionary objects that persist in memory throughout training.
composer.loggers.logger	Base classes, functions, and variables for logger.
composer.loggers.logger_destination	Base class for logger callback.
composer.loggers.logger_hparams_registry	Logger Hyperparameter classes.
composer.loggers.object_store_logger	Log artifacts to an object store.
composer.loggers.progress_bar_logger	Logs metrics to the console and show a progress bar.
composer.loggers.tensorboard_logger	Log to Tensorboard.
composer.loggers.wandb_logger	Log to Weights and Biases.

Loggers to store metrics and artifacts.

In Composer, algorithms and callbacks can make calls to the Logger, which then routes the calls to the appropriate LoggerDestination instances. The LoggerDestination does the actual logging, for example to a file, or Weights and Biases.

See the LoggerDestination documentation for an example of how to define a custom logger and use it when training.

Classes

FileLogger	Log data to a file.
InMemoryLogger	Logs metrics to dictionary objects that persist in memory throughout training.
LogLevel	LogLevel denotes when in the training loop log messages are generated.
Logger	An interface to record training data.
LoggerDestination	Base class for logger destination.
ObjectStoreLogger	Logger destination that uploads artifacts to an object store.
ProgressBarLogger	Log metrics to the console and optionally show a progress bar.
TensorboardLogger	Log to Tensorboard.
WandBLogger	Log to Weights and Biases.