docstr: Add Inception bottlenecks and their pre-Relu versions to endpoints dict.
code: def get_bottleneck_tensors_mobilenet(scope):
      """Add Inception bottlenecks and their pre-Relu versions to endpoints dict."""
      graph = tf.compat.v1.get_default_graph()
      bn_endpoints = {}
      for op in graph.get_operations():
          if (
              "add" in op.name
              and "gradients" not in op.name
              and "add" == op.name.split("/")[-1]
          ):
              name = op.name.split("/")[-2]
              bn_endpoints[name] = op.outputs[0]
      return bn_endpoints
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from abc import ABCMeta
  from abc import abstractmethod
  from six.moves import zip
  import numpy
  import six
  import tensorflow
  from google.protobuf import text_format
label_desc: Use image node_id 2 for calling the MobilenetV2Wrapper_public obj's underlying member method code with example usage: obj.get_bottleneck_tensors_mobilenet(scope) and returns: bn_endpoints