code: def testNonsymmetricComplex(self):
      matrix1 = np.array([[1.0, 2.0], [3.0, 4.0]])
      matrix2 = np.array([[1.0, 3.0], [3.0, 5.0]])
      matrix1 = matrix1.astype(np.complex64)
      matrix1 += 1j * matrix1
      matrix2 = matrix2.astype(np.complex64)
      matrix2 += 1j * matrix2
      self._verifyExponentialComplex(matrix1)
      self._verifyExponentialComplex(matrix2)
      # Complex batch
      self._verifyExponentialComplex(self._makeBatch(matrix1, matrix2))
  
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 6 for calling the ExponentialOpTest obj's underlying member method code with example usage: obj.testNonsymmetricComplex() without return types