code: def _normalize(
      microbatch_gradient: tf.Tensor, num_microbatches: float
  ) -> tf.Tensor:
      """Normalizes `microbatch_gradient` by `num_microbatches`."""
      return tf.truediv(
          microbatch_gradient,
          tf.cast(num_microbatches, microbatch_gradient.dtype),
      )
  
file_path: privacy/tensorflow_privacy/privacy/optimizers/dp_optimizer_keras.py
imports: from typing import List, Optional, Type, Union
  import warnings
  import tensorflow
  from tensorflow_privacy.privacy.dp_query import dp_query
  from tensorflow_privacy.privacy.dp_query import gaussian_query
  from tensorflow_privacy.privacy.dp_query import restart_query
  from tensorflow_privacy.privacy.dp_query import tree_aggregation_query
label_desc: Use image node_id 1 for calling a global function with example usage: _normalize(microbatch_gradient, num_microbatches) and returns: tf