nip.utils

Various utility functions and classes.

Modules

api	Utilities for dealing with APIs.
apps_metric
asyncio	Utilities for async.io operations.
bugfix	Replacements for buggy parts of libraries we use.
checkpoints	Utilities for dealing with saved experiment checkpoints.
data	Utilities for working with data.
distributions	PyTorch distributions.
env	Utilities for working with environment variables.
experiments	Experiment runners.
hugging_face	Utility functions for Hugging Face libraries.
hyper_params	Functions for handling parameters and deriving properties from them.
io	Utilities for input and output.
jinja_filters	Custom filters for Jinja2 templates.
language_model_database	Utility for accessing the language model database.
logging	Utility functions for logging.
malt_forest	Utilities for reconstructing and visualising a forest of trees from MALT rollouts.
maths	Utilities for useful mathematical operations.
nested_array_dict	A nested dictionary of strings data structure.
oop	Utilities to work with object-oriented programming (classes and such).
os	Utilities for operating system interactions.
output	Utilities related to outputting things to the user.
plotting	Utilities for plotting the results of NIP experiments.
rollouts	Utilities for handling rollouts.
runtime_module	Implementation of the runtime modules from PyExt.
string	Utility functions for string manipulation.
tensordict	Utilities for manipulating tensordicts.
timing	Utilities for timing pieces of code.
torch	Handy PyTorch classes and utilities, including modules.
training	Utilities to help with training models.
types	Type definitions for the NIP package.
version	Utilities for dealing with this package's version number.