06dc59afe4657c009430a4673f1504feb69d2736,torchtext/data/batch.py,Batch,__init__,#Batch#Any#Any#Any#,21

Before Change

            self.target_fields = [k for k, v in dataset.fields.items() if
                                  v is not None and v.is_target]

            for (name, field) in dataset.fields.items():
                if field is not None:
                    batch = [getattr(x, name) for x in data]
                    setattr(self, name, field.process(batch, device=device))

    @classmethod
    def fromvars(cls, dataset, batch_size, train=None, **kwargs):
        Create a Batch directly from a number of Variables.
        batch = cls()

After Change

        warnings.warn("{} class has ".format(self.__class__.__name__) +
                      "been retired and moved to torchtext.legacy. Please " +
                      "import from torchtext.legacy.data if you still want it.", UserWarning)
        raise ImportWarning

Instances