code: def names_vggs(k):
      names = []
      for i in range(3):
          names += [
              "conv%d/%d/Relu:0" % (i + 3, j + 1) for j in range(k)
          ]
      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 5 for calling a global function with example usage: names_vggs(k) and returns: names