Auxiliary Modules

The following modules provide support to the main library, or implement additional, secondary functionality.

nip.rl_objectives	Implementations of RL objectives, extending those of TorchRL.
nip.utils	Various utility functions and classes.
nip.stat_logger	Classes for logging experiment statistics during training.
nip.artifact_logger	Logging training artifacts to W&B every so often.
nip.base_run	Utilities for basing the current experiment on a previous W&B run.
nip.model_cache	Utilities for saving and loading models together with their parameters.
nip.timing	Code for timing various things, to test performance.