code: def testConcurrentExecutesWithoutError(self):
      with self.session() as sess:
          all_ops = []
          for adjoint_ in True, False:
              matrix1 = random_ops.random_normal([5, 5], seed=42)
              matrix2 = random_ops.random_normal([5, 5], seed=42)
              inv1 = linalg_ops.matrix_inverse(
                  matrix1, adjoint=adjoint_
              )
              inv2 = linalg_ops.matrix_inverse(
                  matrix2, adjoint=adjoint_
              )
              all_ops += [inv1, inv2]
          inv = self.evaluate(all_ops)
          self.assertAllEqual(inv[0], inv[1])
          self.assertAllEqual(inv[2], inv[3])
  
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 ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import 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 13 for calling the InverseOpTest obj's underlying member method code with example usage: obj.testConcurrentExecutesWithoutError() without return types