2307d99d0141d9d2d2e99a67aaae04fdae42f71e,texar/tf/modules/decoders/rnn_decoders.py,AttentionRNNDecoder,step,#AttentionRNNDecoder#Any#Any#Any#Any#,592

Before Change

        logits = self._output_layer(wrapper_outputs)
        sample_ids = self._helper.sample(
            time=time, outputs=logits, state=wrapper_state)
        reach_max_time = tf.equal(time+1, self.max_decoding_length)

        (finished, next_inputs, next_state) = self._helper.next_inputs(
            time=time,
            outputs=logits,
            state=wrapper_state,
            sample_ids=sample_ids,
            reach_max_time=reach_max_time)

        attention_scores = wrapper_state.alignments
        attention_context = wrapper_state.attention
        outputs = AttentionRNNDecoderOutput(

After Change

            logits, sample_ids, wrapper_outputs,
            attention_scores, attention_context)

        return (outputs, sample_ids, logits, wrapper_state)

    def next_inputs(self, sample_ids, time, outputs, state):
        (finished, next_inputs, state) = self._helper.next_inputs(
            time=time,

Instances