code: def testConcurrentExecutesWithoutError(self):
      with self.session():
          matrix1 = random_ops.random_normal([5, 5], seed=42)
          matrix2 = random_ops.random_normal([5, 5], seed=42)
          det1 = linalg_ops.matrix_determinant(matrix1)
          det2 = linalg_ops.matrix_determinant(matrix2)
          det1_val, det2_val = self.evaluate([det1, det2])
          self.assertEqual(det1_val, det2_val)
  
imports: import numpy
  from tensorflow.python.client import session
  from tensorflow.python.framework import constant_op
  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 gen_linalg_ops
  from tensorflow.python.ops import linalg_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 12 for calling the DeterminantOpTest obj's underlying member method code with example usage: obj.testConcurrentExecutesWithoutError() without return types