code: def _verifyCholesky(self, x):
      # Verify that LL^T == x.
      chol = linalg_ops.cholesky(x)
      verification = test_util.matmul_without_tf32(
          chol, chol, adjoint_b=True
      )
      self._verifyCholeskyBase(x, chol, verification)
  
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 2 for calling the CholeskyOpTest obj's underlying member method code with example usage: obj._verifyCholesky(x) without return types