code: def testNonSquareMatrix(self):
      # When the exponential of a non-square matrix is attempted we should return
      # an error
      with self.assertRaises(ValueError):
          linalg_impl.matrix_exponential(
              np.array([[1.0, 2.0, 3.0], [3.0, 4.0, 5.0]])
          )
  
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 9 for calling the ExponentialOpTest obj's underlying member method code with example usage: obj.testNonSquareMatrix() without return types