Args: report_every(int): Report status every this many sentences start_time(float): manually set report start time. N

A report manager that writes statistics on standard output as well as (optionally) TensorBoard Args: report_ever

Callable class to keep track of early stopping. Args: tolerance(int): number of validation steps without imp

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init error handler

Extended version of the definition in torchtext.data.Iterator. Added yield_raw_example behaviour to yield a torchtext.data.Example

Compute the loss. The args must match :func:`self._make_shard_state()`. Args: batch: the current batch. outp

Split apart word features (like POS/NER tags) from the tokens. Args: string (str): A string with ``tok_delim`` joining tokens and

Using input feed by concatenating input with attention vectors.

Args: dictionaries with disjoint keys. Returns: a single dictionary that has the union of these keys.

See base class for args description.

See base class method `ReportMgrBase.report_step`.

See base class method `ReportMgrBase.report_training`.

See StdRNNDecoder._run_forward_pass() for description of arguments and return values.

DecodeStrategy subclasses should override :func:`advance()`. Advance is used to update ``self.alive_seq``, ``self.is_finished``, and,

All-reduce and rescale tensors in chunks of the specified size. Args: tensors: list of Tensors to all-reduce rescale_denom: denom

Apply mask