code: def names_nasnets(k):
      names = []
      for i in range(3):
          base = sum(k[:i])
          names += [
              "normal%d/concat:0" % (base + j + 1) for j in range(k[i])
          ]
          if i < 2:
              names += ["reduction%d/concat:0" % (base + k[i])]
      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 4 for calling a global function with example usage: names_nasnets(k) and returns: names