message: Forward all `kwargs` from `InterpreterWithCustomOps` to `Interpreter`.
  This allows users to set all parameters available in `Interpreter`, e.g. `experimental_preserve_all_tensors=True` for debugging.
diff: @@ -884,29 +884,18 @@ class InterpreterWithCustomOps(Interpreter):
  and add a custom op.
  """
  - def __init__(self,
  - model_path=None,
  - model_content=None,
  - experimental_delegates=None,
  - custom_op_registerers=None):
  + def __init__(self, custom_op_registerers=None, **kwargs):
  """Constructor.
  Args:
  - model_path: Path to TF-Lite Flatbuffer file.
  - model_content: Content of model.
  - experimental_delegates: Experimental. Subject to change. List of
  - [TfLiteDelegate](https://www.tensorflow.org/lite/performance/delegates)
  - objects returned by lite.load_delegate().
  custom_op_registerers: List of str (symbol names) or functions that take a
  pointer to a MutableOpResolver and register a custom op. When passing
  functions, use a pybind function that takes a uintptr_t that can be
  recast as a pointer to a MutableOpResolver.
  + **kwargs: Additional arguments passed to Interpreter.
  Raises:
  ValueError: If the interpreter was unable to create.
  """
  self._custom_op_registerers = custom_op_registerers or []
  - super(InterpreterWithCustomOps, self).__init__(
  - model_path=model_path,
  - model_content=model_content,
  - experimental_delegates=experimental_delegates)
  + super(InterpreterWithCustomOps, self).__init__(**kwargs)
  