code: def mobilenet_base(input_tensor, depth_multiplier=1.0, **kwargs):
      """Creates base of the mobilenet (no pooling and no logits) ."""
      return mobilenet(
          input_tensor,
          depth_multiplier=depth_multiplier,
          base_only=True,
          **kwargs,
      )
  
file_path: MMdnn/mmdnn/conversion/examples/tensorflow/models/mobilenet/mobilenet_v2.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import copy
  import tensorflow
  from mmdnn.conversion.examples.tensorflow.models.mobilenet import conv_blocks
  from mmdnn.conversion.examples.tensorflow.models.mobilenet import mobilenet
label_desc: Use image node_id 2 for calling a global function with example usage: mobilenet_base(input_tensor, depth_multiplier) and returns: mobilenet