code: def testConcurrentExecutesWithoutError(self):
      matrix_shape = [5, 5]
      seed = [42, 24]
      matrix1 = stateless_random_ops.stateless_random_normal(
          shape=matrix_shape, seed=seed
      )
      matrix2 = stateless_random_ops.stateless_random_normal(
          shape=matrix_shape, seed=seed
      )
      self.assertAllEqual(matrix1, matrix2)
      lu1, p1 = linalg_ops.lu(matrix1)
      lu2, p2 = linalg_ops.lu(matrix2)
      lu1_val, p1_val, lu2_val, p2_val = self.evaluate(
          [lu1, p1, lu2, p2]
      )
      self.assertAllEqual(lu1_val, lu2_val)
      self.assertAllEqual(p1_val, p2_val)
  
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 10 for calling the LuOpTest obj's underlying member method code with example usage: obj.testConcurrentExecutesWithoutError() without return types