message: Updating docstring with "Args:" section to describe log_warning argument.
diff: @@ -41,6 +41,9 @@ def ignore_errors(log_warning=False):
  dataset =
  dataset.apply(tf.data.experimental.ignore_errors()) # ==> {1., 0.5, 0.2}
  ```
  + Args:
  + log_warning: (Optional.) A 'tf.bool' scalar indicating whether ignored
  + errors should be logged to stderr. Defaults to 'False'.
  Returns:
  A `Dataset` transformation function, which can be passed to
  