code: def _retrying_cholesky_custom_gradient(
      matrix, jitter, max_iters, unroll
  ):
      return _retrying_cholesky_fwd(matrix, jitter, max_iters, unroll)[
          0
      ]
  
file_path: probability/tensorflow_probability/python/experimental/distributions/marginal_fns.py
imports: import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import mvn_linear_operator
  from tensorflow_probability.python.internal import custom_gradient
  from tensorflow_probability.python.internal import prefer_static
label_desc: Use image node_id 7 for calling a global function with example usage: _retrying_cholesky_custom_gradient(matrix, jitter, max_iters, unroll) and returns: _retrying_cholesky_fwd