Broadcast data from rank zero of each model parallel group to the members of the same model parallel group. Arguments: keys: list of

Evaluation.

Remove new lines and multiple spaces and adjust end of sentence dot.

Clips gradient norm of an iterable of parameters. This is adapted from torch.nn.utils.clip_grad.clip_grad_norm_ and added functionality to ha

dictionary mapping command tokens to ids for tokenizer

list (or iterable) of all command tokens for tokenizer

Converts a sequence of ids in BPE tokens using the vocab.

Converts a sequence of ids in wordpiece tokens using the vocab.

Converts a sequence of tokens into ids using the vocab.

tokens=[x1,x2,...]

Set the groups to none.

Encode an input example using this pattern-verbalizer pair. :param example: the input example to encode :param priming: whet

Encode an input example using this pattern-verbalizer pair. :param example: the input example to encode :param priming: whet

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Calculate correct over total answers and return prediction if the `output_predictions` is true.

Return the url and etag (which may be ``None``) stored for `filename`. Raise ``EnvironmentError`` if `filename` or its stored metadata do not