dependency_parsing_model# class BiAffineParser(encoding_model, n_rels, n_words, pad_index, bos_index, eos_index, n_mlp_arc=500, n_mlp_rel=100)[source]# DDParser forward(words, wp)[source]# Defines the computation performed at every call. Should be overridden by all subclasses. Parameters: *inputs (tuple) – unpacked tuple arguments **kwargs (dict) – unpacked dict arguments class MLP(n_in, n_out)[source]# forward(x)[source]# Defines the computation performed at every call. Should be overridden by all subclasses. Parameters: *inputs (tuple) – unpacked tuple arguments **kwargs (dict) – unpacked dict arguments class BiAffine(n_in, n_out=1, bias_x=True, bias_y=True)[source]# forward(x, y)[source]# Defines the computation performed at every call. Should be overridden by all subclasses. Parameters: *inputs (tuple) – unpacked tuple arguments **kwargs (dict) – unpacked dict arguments class ErnieEncoder(pad_index, pretrained_model)[source]# forward(words, wp)[source]# Defines the computation performed at every call. Should be overridden by all subclasses. Parameters: *inputs (tuple) – unpacked tuple arguments **kwargs (dict) – unpacked dict arguments class LSTMByWPEncoder(n_words, pad_index, lstm_by_wp_embed_size=200, n_embed=300, n_lstm_hidden=300, n_lstm_layers=3)[source]# forward(words, wp)[source]# Defines the computation performed at every call. Should be overridden by all subclasses. Parameters: *inputs (tuple) – unpacked tuple arguments **kwargs (dict) – unpacked dict arguments index_sample(x, index)[source]# Select input value according to index Arags：input: input matrix index: index matrix Returns: output >>> input [ [1, 2, 3], [4, 5, 6] ] >>> index [ [1, 2], [0, 1] ] >>> index_sample(input, index) [ [2, 3], [4, 5] ]
