code: def testNonSquareMatrix(self):
      with self.assertRaises(
          (ValueError, errors_impl.InvalidArgumentError)
      ):
          linalg_ops.cholesky(
              np.array([[1.0, 2.0, 3.0], [3.0, 4.0, 5.0]])
          )
      with self.assertRaises(
          (ValueError, errors_impl.InvalidArgumentError)
      ):
          linalg_ops.cholesky(
              np.array(
                  [
                      [[1.0, 2.0, 3.0], [3.0, 4.0, 5.0]],
                      [[1.0, 2.0, 3.0], [3.0, 4.0, 5.0]],
                  ]
              )
          )
  
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 5 for calling the CholeskyOpTest obj's underlying member method code with example usage: obj.testNonSquareMatrix() without return types