60fa2cc0b9c336d86b9dc3887cc73753077b41c4,deepmatcher/data/torchtext_extensions.py,,,#,662

Before Change

//             collate_fn= ...,
//             pin_memory=pin_memory)
Mapping from string name to factory function
_pretrained_aliases = {
    "charngram.100d":
    lambda **kwargs: vocab.CharNGram(**kwargs),
    "fasttext.en.300d":
    lambda **kwargs: vocab.FastText(language="en", **kwargs),
    "fasttext.simple.300d":
    lambda **kwargs: vocab.FastText(language="simple", **kwargs),
    "glove.42B.300d":
    lambda **kwargs: vocab.GloVe(name="42B", dim="300", **kwargs),
    "glove.840B.300d":
    lambda **kwargs: vocab.GloVe(name="840B", dim="300", **kwargs),
    "glove.twitter.27B.25d":
    lambda **kwargs: vocab.GloVe(name="twitter.27B", dim="25", **kwargs),
    "glove.twitter.27B.50d":
    lambda **kwargs: vocab.GloVe(name="twitter.27B", dim="50", **kwargs),
    "glove.twitter.27B.100d":
    lambda **kwargs: vocab.GloVe(name="twitter.27B", dim="100", **kwargs),
    "glove.twitter.27B.200d":
    lambda **kwargs: vocab.GloVe(name="twitter.27B", dim="200", **kwargs),
    "glove.6B.50d":
    lambda **kwargs: vocab.GloVe(name="6B", dim="50", **kwargs),
    "glove.6B.100d":
    lambda **kwargs: vocab.GloVe(name="6B", dim="100", **kwargs),
    "glove.6B.200d":
    lambda **kwargs: vocab.GloVe(name="6B", dim="200", **kwargs),
    "glove.6B.300d":
    lambda **kwargs: vocab.GloVe(name="6B", dim="300", **kwargs)
}

After Change

    //     self.examples = numericalized_exs


AttrTensor_ = namedtuple("AttrTensor", ["data", "lengths", "tok_freqs", "pc"])


class AttrTensor(AttrTensor_):

Instances