(self, prev, i)
return tf.concat([image_feature, prev], 1)
See SequenceLayerBase.get_eval_input for details.
See SequenceLayerBase.get_eval_input for details.
See SequenceLayerBase . get_eval_input for details .
def get_eval_input(self, prev, i):
    """See SequenceLayerBase.get_eval_input for details."""
    if i == 0:
      prev = self._zero_label
    else:
      logit = self.char_logit(prev, char_index=i - 1)
      prev = self.char_one_hot(logit)
    image_feature = self.get_image_feature(char_index=i)
    return tf.concat([image_feature, prev], 1)
def get_eval_input ( self , prev , i ) : if i == 0 : prev = self . _zero_label else : logit = self . char_logit ( prev , char_index = i - 1 ) prev = self . char_one_hot ( logit ) image_feature = self . get_image_feature ( char_index = i ) return tf . concat ( [ image_feature , prev ] , 1 )