code: def _inception_v3_arg_scope(
      is_training=True,
      weight_decay=0.00004,
      stddev=0.1,
      batch_norm_var_collection="moving_vars",
  ):
      """Defines the default InceptionV3 arg scope.
  
      Args:
        is_training: Whether or not we're training the model.
        weight_decay: The weight decay to use for regularizing the model.
        stddev: The standard deviation of the trunctated normal weight initializer.
        batch_norm_var_collection: The name of the collection for the batch norm
          variables.
  
      Returns:
        An `arg_scope` to use for the inception v3 model.
      """
      batch_norm_params = {
          "is_training": is_training,
          # Decay for the moving averages.
          "decay": 0.9997,
          # epsilon to prevent 0s in variance.
          "epsilon": 0.001,
          # collection containing the moving mean and moving variance.
          "variables_collections": {
              "beta": None,
              "gamma": None,
              "moving_mean": [batch_norm_var_collection],
              "moving_variance": [batch_norm_var_collection],
          },
      }
      normalizer_fn = slim.batch_norm
  
      # Set weight_decay for weights in Conv and FC layers.
      with slim.arg_scope(
          [slim.conv2d, slim.fully_connected],
          weights_regularizer=slim.l2_regularizer(weight_decay),
      ):
          with slim.arg_scope(
              [slim.conv2d],
              weights_initializer=tf.truncated_normal_initializer(
                  stddev=stddev
              ),
              activation_fn=tf.nn.relu6,
              normalizer_fn=normalizer_fn,
              normalizer_params=batch_norm_params,
          ) as sc:
              return sc
  
file_path: magenta/magenta/models/arbitrary_image_stylization/arbitrary_image_stylization_build_model.py
imports: from magenta.models.arbitrary_image_stylization import arbitrary_image_stylization_losses
  from magenta.models.arbitrary_image_stylization import nza_model
  from magenta.models.image_stylization import ops
  import tensorflow.compat.v1
  import tf_slim
  from tf_slim.nets import inception_v3
label_desc: Use image node_id 3 for calling a global function with example usage: _inception_v3_arg_scope(is_training, weight_decay, stddev, batch_norm_var_collection) and returns: sc