class_docstr: End-To-End Memory Network.
class_docstr_tok: ["End-To-End","Memory","Network","."]
code: def _build_inputs(self):
      self._stories = tf.placeholder(
          tf.int32, [None, None, self._sentence_size], name="stories"
      )
      self._queries = tf.placeholder(
          tf.int32, [None, self._sentence_size], name="queries"
      )
      self._answers = tf.placeholder(
          tf.int32, [None, self._num_cands], name="answers"
      )
      self._cands = tf.placeholder(
          tf.int32,
          [None, self._num_cands, self._max_cand_len],
          name="candidate_answers",
      )
  
file_path: nlp-architect/examples/memn2n_dialogue/memn2n_dialogue.py
imports: from __future__ import absolute_import
  from __future__ import division
  import tensorflow
  from six.moves import range
label_desc: Use image node_id 2 for calling the MemN2N_Dialog obj's underlying member method code with example usage: obj._build_inputs() without return types