code: def meanvarsqrt_to_natural(
      mu: tf.Tensor, s_sqrt: tf.Tensor
  ) -> Tuple[tf.Tensor, tf.Tensor]:
      s_sqrt_inv = _inverse_lower_triangular(s_sqrt)
      s_inv = tf.linalg.matmul(s_sqrt_inv, s_sqrt_inv, transpose_a=True)
      return tf.linalg.matmul(s_inv, mu), -0.5 * s_inv
  
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 3 for calling a global function with example usage: meanvarsqrt_to_natural(mu, s_sqrt) and returns: tf,  unknown