code: def testErfInvIntegerInput(self):
      with self.cached_session():
          with self.assertRaises(TypeError):
              x = np.array([1, 2, 3]).astype(np.int32)
              special_math.erfinv(x)
  
          with self.assertRaises(TypeError):
              x = np.array([1, 2, 3]).astype(np.int64)
              special_math.erfinv(x)
  
imports: import collections
  import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  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 gradient_checker
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops.distributions import special_math
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 2 for calling the ErfInvTest obj's underlying member method code with example usage: obj.testErfInvIntegerInput() without return types