code: def tuple_mobilenetv2():
      def baseidx(b):
          return [b, b + 3, b + 5]
  
      indices = baseidx(2)
      names = [
          "conv1/Relu6:0",
          "sconv1/Relu6:0",
          "pconv1/bn/" + bn_name,
      ]
      k = 10
      l = 2
      for i, j in enumerate([2, 3, 4, 3, 3, 1]):
          indices += baseidx(k)
          names += [
              "conv%d/conv/Relu6:0" % l,
              "conv%d/sconv/Relu6:0" % l,
              "conv%d/pconv/bn/%s" % (l, bn_name),
          ]
          k += 8
          l += 1
          for _ in range(j - 1):
              indices += baseidx(k) + [k + 6]
              names += [
                  "conv%d/conv/Relu6:0" % l,
                  "conv%d/sconv/Relu6:0" % l,
                  "conv%d/pconv/bn/%s" % (l, bn_name),
                  "conv%d/out:0" % l,
              ]
              k += 9
              l += 1
      indices += [k]
      names += ["conv%d/Relu6:0" % l]
      return (indices, names, -16)
  
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 7 for calling a global function with example usage: tuple_mobilenetv2() and returns: indices,  names,  unknown, list