code: def testConcurrentExecutesWithoutError(self):
      seed = [42, 24]
      matrix_shape = [5, 5]
      matrix1 = stateless_random_ops.stateless_random_normal(
          matrix_shape, seed
      )
      matrix2 = stateless_random_ops.stateless_random_normal(
          matrix_shape, seed
      )
      matrix1 = math_ops.matmul(matrix1, matrix1, adjoint_a=True)
      matrix2 = math_ops.matmul(matrix2, matrix2, adjoint_a=True)
      c1 = linalg_ops.cholesky(matrix1)
      c2 = linalg_ops.cholesky(matrix2)
      c1_val, c2_val = self.evaluate([c1, c2])
      self.assertAllClose(c1_val, c2_val)
  
imports: import numpy
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 9 for calling the CholeskyOpTest obj's underlying member method code with example usage: obj.testConcurrentExecutesWithoutError() without return types