code: def __args__(is_training):
      return [
          ([batch_norm], {"is_training": is_training}),
          ([bias_add, conv2d], {}),
          ([pool], {"padding": "SAME"}),
      ]
  
file_path: tensornets/tensornets/darknets.py
imports: from __future__ import absolute_import
  from __future__ import division
  import tensorflow
  from .layers import batch_norm
  from .layers import bias_add
  from .layers import conv2d
  from .layers import darkconv
  from .layers import fc
  from .layers import max_pool2d
  from .ops import *
  from .utils import set_args
  from .utils import var_scope
label_desc: Use image node_id 1 for calling a global function with example usage: __args__(is_training) and returns: list