model.txt

ParserModel (
    (q_encoder): RNNEncoder (
        (embeddings): Embedding(3062, 250, padding_idx=1)
        (word_dropout): LockedDropout ()
        (rnn): LSTM(250, 150, dropout=0.3, bidirectional=True)
    )

    (lay_decoder): SeqDecoder (
        (embeddings): Embedding(151, 200, padding_idx=1)
        (word_dropout): LockedDropout ()
        (rnn): LSTM(200, 300, dropout=0.3)
        (attn): GlobalAttention (
          (linear_out): Linear (600 -> 300)
          (sm): Softmax ()
          (tanh): Tanh ()
        )
    )

    => SKETCH

    (lay_classifier): Sequential (
        (0): Dropout (p = 0.3)
        (1): Linear (300 -> 151)
        (2): LogSoftmax ()
    )

    (lay_encoder): RNNEncoder (
        (embeddings): Embedding(151, 200, padding_idx=1)
        (word_dropout): LockedDropout ()
        (rnn): LSTM(200, 100, dropout=0.3, bidirectional=True)
    )

    (tgt_embeddings): Embedding(1689, 200, padding_idx=1)

    (tgt_decoder): SeqDecoder (
        (word_dropout): LockedDropout ()
        (rnn): LSTM(200, 300, dropout=0.3)
        (attn): GlobalAttention (
            (linear_out): Linear (600 -> 300)
            (sm): Softmax ()
            (tanh): Tanh ()
        )
    )

    (tgt_classifier): CopyGenerator (
        (dropout): Dropout (p = 0.3)
        (linear): Linear (300 -> 1689)
        (linear_copy): Linear (300 -> 1)
    )
)