code: def _propagate_cov(matrix, cov, added_cov):
      return (
          tf.linalg.matmul(
              tf.linalg.matmul(matrix, cov), matrix, transpose_b=True
          )
          + added_cov
      )
  
imports: import collections
  import functools
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import mvn_tril
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import samplers
  from tensorflow_probability.python.math import linalg
  from tensorflow_probability.python.math.scan_associative import scan_associative
label_desc: Use image node_id 16 for calling a global function with example usage: _propagate_cov(matrix, cov, added_cov) and returns: unknown