class_docstr: This transformation will perform natural gradient descent on the model parameters,
  so saves the conversion to and from Xi.
class_docstr_tok: ["This","transformation","will","perform","natural","gradient","descent","on","the","model","parameters",",","so","saves","the","conversion","to","and","from","Xi","."]
code: def xi_to_meanvarsqrt(
      xi1: tf.Tensor, xi2: tf.Tensor
  ) -> Tuple[tf.Tensor, tf.Tensor]:
      return xi1, xi2
  
imports: import abc
  import functools
  from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union
  import tensorflow
  from check_shapes import check_shapes
  from ..base import AnyNDArray, Parameter, _to_constrained
label_desc: Use image node_id 2 for calling the XiSqrtMeanVar obj's underlying member method code with example usage: obj.xi_to_meanvarsqrt(xi1, xi2) and returns: xi1,  xi2