code: def meanvarsqrt_to_expectation(
      m: tf.Tensor, v_sqrt: tf.Tensor
  ) -> Tuple[tf.Tensor, tf.Tensor]:
      v = tf.linalg.matmul(v_sqrt, v_sqrt, transpose_b=True)
      return m, v + tf.linalg.matmul(m, m, transpose_b=True)
  
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 7 for calling a global function with example usage: meanvarsqrt_to_expectation(m, v_sqrt) and returns: m,  unknown