reference/generated/torchrl.record.loggers.PrefixLogger

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PrefixLogger

torchrl.record.loggers.PrefixLogger(logger: LoggerT, prefix: str)

A namespaced view over an existing logger.

Metric, video, histogram, and string names are prefixed consistently while hyperparameter keys are forwarded unchanged. Chained views compose their prefixes, and lifecycle, state, and experiment access remain owned by the wrapped logger. A view over an owning Logger is accepted wherever a Logger instance is required; a view over a service client retains the client’s restricted capabilities.

Parameters:

• logger – Logger or logger service client to wrap.

• prefix – Non-empty namespace to prepend to logged names. Leading and trailing / characters are ignored.

Examples

>>> from torchrl.record.loggers import CSVLogger
>>> logger = CSVLogger(exp_name="run", log_dir="/tmp")
>>> training = logger.with_prefix("training")
>>> training.log_scalar("loss", 1.0, step=0)
>>> logger.close()