b1b832a4e17ab084ac91c70268d1072d25db6cb7,allennlp/models/crf_tagger.py,CrfTagger,__init__,#CrfTagger#Any#Any#Any#Any#Any#Any#,39

Before Change

        self.span_metric = SpanBasedF1Measure(vocab, tag_namespace=label_namespace)

        if text_field_embedder.get_output_dim() != encoder.get_input_dim():
            raise ConfigurationError("The output dimension of the text_field_embedder must match the "
                                     "input dimension of the phrase_encoder. Found {} and {}, "
                                     "respectively.".format(text_field_embedder.get_output_dim(),
                                                            encoder.get_input_dim()))
        initializer(self)

    @overrides
    def forward(self,  // type: ignore

After Change

        self.span_metric = SpanBasedF1Measure(vocab, tag_namespace=label_namespace)

        check_dimensions_match(text_field_embedder.get_output_dim(), encoder.get_input_dim(),
                               "text field embedding dim", "encoder input dim")
        initializer(self)

    @overrides
    def forward(self,  // type: ignore

Instances