code: def vgg_arg_scope(weight_decay=0.0005):
      """Defines the VGG arg scope.
  
      Args:
        weight_decay: The l2 regularization coefficient.
  
      Returns:
        An arg_scope.
      """
      with arg_scope(
          [layers.conv2d, layers_lib.fully_connected],
          activation_fn=nn_ops.relu,
          weights_regularizer=regularizers.l2_regularizer(weight_decay),
          biases_initializer=init_ops.zeros_initializer(),
      ):
          with arg_scope([layers.conv2d], padding="SAME") as arg_sc:
              return arg_sc
  
file_path: luminoth/luminoth/models/base/truncated_vgg.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from tensorflow.contrib import layers
  from tensorflow.contrib.framework.python.ops import arg_scope
  from tensorflow.contrib.layers.python.layers import layers
  from tensorflow.contrib.layers.python.layers import regularizers
  from tensorflow.contrib.layers.python.layers import utils
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import variable_scope
label_desc: Use image node_id 1 for calling a global function with example usage: vgg_arg_scope(weight_decay) and returns: arg_sc