composer.loggers

Loggers to store metrics and checkpoints.

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

CometMLLogger	Log to Comet.
ConsoleLogger	Log metrics to the console.
FileLogger	Log data to a file.
InMemoryLogger	Logs metrics to dictionary objects that persist in memory throughout training.
LoggerDestination	Base class for logger destination.
MLFlowLogger	Log to MLflow.
MosaicMLLogger	Log to the MosaicML platform.
NeptuneLogger	Log to neptune.ai.
ProgressBarLogger	Log metrics to the console and optionally show a progress bar.
RemoteUploaderDownloader	Logger destination that uploads (downloads) files to (from) a remote backend.
SlackLogger	Log metrics to slack, using Slack's postMessage api - https://api.slack.com/methods/chat.postMessage.
TensorboardLogger	Log to Tensorboard.
WandBLogger	Log to Weights and Biases.