code: def __args__(is_training):
      return [
          (
              [avg_pool2d, max_pool2d],
              {"stride": 1, "padding": "SAME", "scope": "pool"},
          ),
          ([batch_norm], {"is_training": is_training, "scope": "bn"}),
          (
              [conv2d],
              {
                  "padding": "SAME",
                  "activation_fn": None,
                  "biases_initializer": None,
                  "scope": "conv",
              },
          ),
          ([dropout], {"is_training": is_training, "scope": "dropout"}),
          ([fc], {"activation_fn": None, "scope": "fc"}),
          ([sconv2d], {"padding": "SAME", "scope": "sconv"}),
      ]
  
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 dropout
  from .layers import fc
  from .layers import max_pool2d
  from .layers import sconv2d
  from .layers import convrelu0
  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 1 for calling a global function with example usage: __args__(is_training) and returns: list