class_docstr: MpMaxAttentiveMatch.
class_docstr_tok: ["MpMaxAttentiveMatch","."]
docstr: Call.
docstr_tok: ["Call","."]
code: def call(self, x):
      """Call."""
      reps_lt, reps_rt = x[0], x[1]
      relevancy_matrix = x[2]
      max_att_lt = cal_max_question_representation(
          reps_lt, relevancy_matrix
      )
      max_attentive_tensor, match_dim = _multi_perspective_match(
          self.mp_dim, reps_rt, max_att_lt
      )
      return max_attentive_tensor
  
imports: import tensorflow
  from keras import backend
  from keras.engine import Layer
  from matchzoo.contrib.layers.attention_layer import AttentionLayer
label_desc: Use image node_id 3 for calling the MpMaxAttentiveMatch obj's underlying member method code with example usage: obj.call(x) and returns: max_attentive_tensor