code: def call(self, inputs):
      return bert_modeling.create_attention_mask_from_input_mask(
          inputs[0], inputs[1]
      )
  
file_path: autodist/examples/benchmark/utils/modeling/networks/transformer_encoder.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow.python.keras.engine import network
  from utils import activations
  from utils import bert_modeling
  from utils.modeling import layers
label_desc: Use image node_id 1 for calling the MakeAttentionMaskLayer obj's underlying member method code with example usage: obj.call(inputs) and returns: bert_modeling