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 meanvarsqrt_to_xi(
      mean: tf.Tensor, varsqrt: tf.Tensor
  ) -> Tuple[tf.Tensor, tf.Tensor]:
      return mean, varsqrt
  
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 1 for calling the XiSqrtMeanVar obj's underlying member method code with example usage: obj.meanvarsqrt_to_xi(mean, varsqrt) and returns: mean,  varsqrt