code: def testErfInvValues(self):
      with self.cached_session():
          if not special:
              return
  
          x = np.linspace(0.0, 1.0, 50).astype(np.float64)
  
          expected_x = special.erfinv(x)
          x = special_math.erfinv(x)
          self.assertAllClose(expected_x, self.evaluate(x), atol=0.0)
  
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 1 for calling the ErfInvTest obj's underlying member method code with example usage: obj.testErfInvValues() without return types