code: def testInvalidMatrix(self):
      # LU factorization gives an error when the input is singular.
      # Note: A singular matrix may return without error but it won't be a valid
      # factorization.
      for dtype in self.float_types:
          with self.subTest(dtype=dtype):
              with self.assertRaises(errors.InvalidArgumentError):
                  self.evaluate(
                      linalg_ops.lu(
                          np.array(
                              [
                                  [1.0, 2.0, 3.0],
                                  [2.0, 4.0, 6.0],
                                  [2.0, 3.0, 4.0],
                              ],
                              dtype=dtype,
                          )
                      )
                  )
              with self.assertRaises(errors.InvalidArgumentError):
                  self.evaluate(
                      linalg_ops.lu(
                          np.array(
                              [
                                  [
                                      [1.0, 2.0, 3.0],
                                      [2.0, 4.0, 6.0],
                                      [1.0, 2.0, 3.0],
                                  ],
                                  [
                                      [1.0, 2.0, 3.0],
                                      [3.0, 4.0, 5.0],
                                      [5.0, 6.0, 7.0],
                                  ],
                              ],
                              dtype=dtype,
                          )
                      )
                  )
  
imports: import numpy
  from tensorflow.python.client import session
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  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 array_ops_stack
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import map_fn
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the LuOpTest obj's underlying member method code with example usage: obj.testInvalidMatrix() without return types