code: def expectation_to_meanvarsqrt(
      eta1: tf.Tensor, eta2: tf.Tensor
  ) -> Tuple[tf.Tensor, tf.Tensor]:
      var = eta2 - tf.linalg.matmul(eta1, eta1, transpose_b=True)
      return eta1, tf.linalg.cholesky(var)
  
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 6 for calling a global function with example usage: expectation_to_meanvarsqrt(eta1, eta2) and returns: eta1,  tf