anchors: (N, 4) ndarray of float gt_boxes: (K, 4) ndarray of float overlaps: (N, K) ndarray of overlap between boxes and query_boxes

Similar to :meth:`latest`, but the returned values are either the un-smoothed original latest value, or a median of the given

Locate and return an object ``x`` using an input string ``{x.__module__}.{x.__qualname__}``, such as "module.submodule.class_name". Rais

If gradient clipping is enabled through config options, wraps the existing optimizer type to become a new dynamically created class Optimizer

Takes a string as input and returns an object that can be given to either cook_refs or cook_test. This is optional: cook_refs and cook_test

Takes a string as input and returns an object that can be given to either cook_refs or cook_test. This is optional: cook_refs and cook_test

Args: cfg: an omegaconf config object filename: yaml file name to save the config file

Set the random seed for the RNG in torch, numpy and python. Args: seed (int): if None, will use a strong random seed.

Args: eval_period (int): the period to run `eval_function`. Set to 0 to not evaluate periodically (but still afte

Performs invalid character removal and whitespace cleanup on text.

Configurations for some libraries.

Dynamically creates a new type that inherits the type of a given instance and overrides the `step` method to add gradient clipping

Checks whether CP is the codepoint of a CJK character.

Checks whether `chars` is a control character.

Checks whether `chars` is a punctuation character.

Checks whether `chars` is a whitespace character.

dH - offset relative to the ordinate idx, [b, h, w], elem value in [-1, 1] make grid for linear interpolation along H dimension

Enhance relative import statements in config files, so that they: 1. locate files purely based on relative location, regardless of packages.

Splits punctuation on a piece of text.

Strips accents from a piece of text.

Adds whitespace around any CJK character.

Apply func recursively to all DictConfig in cfg.

Adds special tokens to a sequence pair for sequence classification tasks. A BERT sequence pair has the following format: [CLS] A [S

Called after each iteration.

Called after the last iteration.

Match names between the two state-dict, and update the values of model_state_dict in-place with copies of the matched tensor in ckpt_state_

Run all_gather on arbitrary picklable data (not necessarily tensors). Args: data: any picklable object group: a torch proces

broadcast arbitrary data from root_rank to all nodes.

Called before each iteration.

Called before the first iteration.