class_docstr: Represents options for autotuning dataset performance.
  
  ```python
  options = tf.data.Options()
  options.autotune.enabled = False
  dataset = dataset.with_options(options)
  ```
class_docstr_tok: ["Represents","options","for","autotuning","dataset","performance",".","``","`","python","options","=","tf.data.Options","(",")","options.autotune.enabled","=","False","dataset","=","dataset.with_options","(","options",")","``","`"]
docstr: Change the mutability value to `mutable` on this options and children.
docstr_tok: ["Change","the","mutability","value","to","`","mutable","`","on","this","options","and","children","."]
code: def _set_mutable(self, mutable):
      """Change the mutability value to `mutable` on this options and children."""
      # pylint: disable=protected-access
      object.__setattr__(self, "_mutable", mutable)
  
imports: import enum
  import platform
  from absl import logging
  from tensorflow.core.framework import dataset_options_pb2
  from tensorflow.core.framework import model_pb2
  from tensorflow.python.data.ops import test_mode
  from tensorflow.python.data.util import options
  from tensorflow.python.util import deprecation
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 3 for calling the AutotuneOptions obj's underlying member method code with example usage: obj._set_mutable(mutable) without return types