2d267b27382ef99b8e58eb561cee339f4cd0b2d5,10-structured/bilstm-teacher-forcing-tagger.py,,calc_scores,#Any#,65

Before Change

    word_reps = LSTM.transduce([LOOKUP[x] for x in words])

    // Softmax scores
    W, b = dy.parameter(W_sm, b_sm)
    scores = [dy.affine_transform([b, W, x]) for x in word_reps]

    return scores

After Change

    // Transduce all batch elements with an LSTM
    fwd_init = fwdLSTM.initial_state()
    fwd_word_reps = fwd_init.transduce(word_embs)
    bwd_init = bwdLSTM.initial_state()
    bwd_word_reps = bwd_init.transduce(reversed(word_embs))

    combined_word_reps = [dy.concatenate([f, b]) for f, b in zip(fwd_word_reps, reversed(bwd_word_reps))]

    // Softmax scores
    W = dy.parameter(W_sm)
    b = dy.parameter(b_sm)

Instances