700abc65fd2172a2c6809dd9b72cf50fc2407772,allennlp/models/decomposable_attention.py,DecomposableAttention,__init__,#DecomposableAttention#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,64

Before Change

        super().__init__(vocab, regularizer)

        self._text_field_embedder = text_field_embedder
        self._attend_feedforward = TimeDistributed(attend_feedforward)
        self._matrix_attention = LegacyMatrixAttention(similarity_function)
        self._compare_feedforward = TimeDistributed(compare_feedforward)
        self._aggregate_feedforward = aggregate_feedforward
        self._premise_encoder = premise_encoder

After Change

    premise_encoder : `Seq2SeqEncoder`, optional (default=`None`)
        After embedding the premise, we can optionally apply an encoder.  If this is `None`, we
        will do nothing.
    hypothesis_encoder : `Seq2SeqEncoder`, optional (default=`None`)
        After embedding the hypothesis, we can optionally apply an encoder.  If this is `None`,
        we will use the `premise_encoder` for the encoding (doing nothing if `premise_encoder`
        is also `None`).
    initializer : `InitializerApplicator`, optional (default=`InitializerApplicator()`)
        Used to initialize the model parameters.

Instances