code: def vgg16(
      x,
      is_training=False,
      classes=1000,
      stem=False,
      scope=None,
      reuse=None,
  ):
      return vgg(
          x, [2, 2, 3, 3, 3], is_training, classes, stem, scope, reuse
      )
  
file_path: tensornets/tensornets/vggs.py
imports: from __future__ import absolute_import
  from __future__ import division
  import tensorflow
  from .layers import conv2d
  from .layers import dropout
  from .layers import flatten
  from .layers import fc
  from .layers import max_pool2d
  from .layers import convrelu
  from .ops import *
  from .utils import set_args
  from .utils import var_scope
label_desc: Use image node_id 4 for calling a global function with example usage: vgg16(x, is_training, classes, stem, scope, reuse) and returns: vgg