code: def densenet121(
      x,
      is_training=False,
      classes=1000,
      stem=False,
      scope=None,
      reuse=None,
  ):
      return densenet(
          x, [6, 12, 24, 16], is_training, classes, stem, scope, reuse
      )
  
file_path: tensornets/tensornets/densenets.py
imports: from __future__ import absolute_import
  import tensorflow
  from .layers import avg_pool2d
  from .layers import batch_norm
  from .layers import conv2d
  from .layers import fc
  from .layers import max_pool2d
  from .layers import convbnrelu
  from .ops import *
  from .utils import pad_info
  from .utils import set_args
  from .utils import var_scope
label_desc: Use image node_id 3 for calling a global function with example usage: densenet121(x, is_training, classes, stem, scope, reuse) and returns: densenet