code: def names_squeezenet():
      names = ["fire%d/concat:0" % (i + 2) for i in range(8)]
      names.insert(2, "pool3/MaxPool:0")
      names.insert(5, "pool5/MaxPool:0")
      return names
  
file_path: tensornets/tensornets/middles.py
imports: from __future__ import absolute_import
  from .version_utils import tf_equal_to
  from .version_utils import tf_later_than
label_desc: Use image node_id 3 for calling a global function with example usage: names_squeezenet() and returns: names