INNER CODE UNIT · Python

__init__

thunlp/Few-NERD · model/nnshot.py:11

    def __init__(self,word_encoder, dot=False, ignore_index=-1):
        util.framework.FewShotNERModel.__init__(self, word_encoder, ignore_index=ignore_index)
        self.drop = nn.Dropout()
        self.dot = dot

    def __dist__(self, x, y, dim):
        if self.dot:
            return (x * y).sum(dim)
        else:
            return -(torch.pow(x - y, 2)).sum(dim)

    def __batch_dist__(self, S, Q, q_mask):
        # S [class, embed_dim], Q [num_of_sent, num_of_tokens, embed_dim]
        assert Q.size()[:2] == q_mask.size()
        Q = Q[q_mask==1].view(-1, Q.size(-1))
        return self.__dist__(S.unsqueeze(0), Q.unsqueeze(1), 2)

    def __get_nearest_dist__(self, embedding, tag, mask, query, q_mask):

View source record →