509453992838a524f6442d4e0f07a034390ae1f7,layers/eight_mile/tf/layers.py,BiLSTMEncoderAll1,call,#BiLSTMEncoderAll1#Any#,1204

Before Change

        for i in range(self.layers):
            h = tf.concat([fwd_state[i].h, bwd_state[i].h], -1)
            c = tf.concat([fwd_state[i].c, bwd_state[i].c], -1)
            encoder_state.append(tf.contrib.rnn.LSTMStateTuple(h=h, c=c))
        encoder_state = tuple(encoder_state)
        return self.output_fn(rnnout, encoder_state)

After Change

        // (num_layers * num_directions, batch, hidden_size):
        hs = []
        for rnn in self.rnns:
            outputs, h1, h2 = rnn(inputs, mask=mask)
            h = tf.stack([h1, h2])
            hs.append(h)
            inputs = outputs

Instances