code: def test_cholesky_reparameterization_trick():
      def fun(A):
          rng = np.random.RandomState(0)
          z = np.dot(np.linalg.cholesky(A), rng.randn(A.shape[0]))
          return np.linalg.norm(z)
  
      check_symmetric_matrix_grads(fun)(rand_psd(6))
  
imports: from __future__ import absolute_import
  from builtins import range
  import itertools
  import autograd.numpy
  import autograd.numpy.random
  from autograd.test_util import check_grads
  from autograd import tuple
  from autograd import grad
  from functools import partial
  import pytest
label_desc: Use image node_id 33 for calling a global function with example usage: test_cholesky_reparameterization_trick() and returns: np