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)
          expm1 = linalg_impl.matrix_exponential(matrix1)
          expm2 = linalg_impl.matrix_exponential(matrix2)
          expm = self.evaluate([expm1, expm2])
          self.assertAllEqual(expm[0], expm[1])
  
imports: import itertools
  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 array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg_impl
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import test
label_desc: Use image node_id 14 for calling the ExponentialOpTest obj's underlying member method code with example usage: obj.testConcurrentExecutesWithoutError() without return types