code: def __args__(is_training):
      return [
          (
              [batch_norm],
              {
                  "scale": True,
                  "is_training": is_training,
                  "epsilon": 1e-5,
                  "scope": "bn",
              },
          ),
          (
              [conv2d],
              {
                  "padding": "VALID",
                  "activation_fn": None,
                  "biases_initializer": None,
                  "scope": "conv",
              },
          ),
      ]
  
file_path: tensornets/tensornets/capsulenets.py
imports: from __future__ import absolute_import
  import numpy
  import tensorflow
  from .layers import batch_norm
  from .layers import conv2d
  from .layers import convrelu
  from .ops import *
  from .utils import ops_to_outputs
  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