code: def testWrongDimensions(self):
      tensor3 = constant_op.constant([1.0, 2.0])
      with self.assertRaises(
          (ValueError, errors_impl.InvalidArgumentError)
      ):
          linalg_ops.cholesky(tensor3)
      with self.assertRaises(
          (ValueError, errors_impl.InvalidArgumentError)
      ):
          linalg_ops.cholesky(tensor3)
  
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 6 for calling the CholeskyOpTest obj's underlying member method code with example usage: obj.testWrongDimensions() without return types