code: def testConcurrentExecutesWithoutError(self):
      matrix_shape = [5, 5]
      seed = [42, 24]
      matrix1 = math_ops.cast(
          stateless_random_ops.stateless_random_normal(
              matrix_shape, seed=seed
          ),
          dtypes.complex64,
      )
      matrix2 = math_ops.cast(
          stateless_random_ops.stateless_random_normal(
              matrix_shape, seed=seed
          ),
          dtypes.complex64,
      )
      self.assertAllEqual(matrix1, matrix2)
      logm1 = gen_linalg_ops.matrix_logarithm(matrix1)
      logm2 = gen_linalg_ops.matrix_logarithm(matrix2)
      logm = self.evaluate([logm1, logm2])
      self.assertAllEqual(logm[0], logm[1])
  
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 errors_impl
  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 math_ops
  from tensorflow.python.ops import stateless_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 11 for calling the LogarithmOpTest obj's underlying member method code with example usage: obj.testConcurrentExecutesWithoutError() without return types