code: def alexnet_v1_arg_scope(weight_decay=0.0005):
      with slim.arg_scope(
          [slim.conv2d],
          activation_fn=tf.nn.relu,
          biases_initializer=tf.constant_initializer(0.1),
          weights_regularizer=slim.l2_regularizer(weight_decay),
          data_format="NCHW",
      ):
          with slim.arg_scope(
              [slim.conv2d], padding="SAME", data_format="NCHW"
          ):
              with slim.arg_scope(
                  [slim.max_pool2d], padding="VALID", data_format="NCHW"
              ) as arg_sc:
                  return arg_sc
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: alexnet_v1_arg_scope(weight_decay) and returns: arg_sc