code: def testFloatTanhEdge(self):
      x = np.arange(40, 40 + 6).reshape(6).astype(np.float32)
      self._compareBoth(x, np.tanh, math_ops.tanh)
      x = np.arange(-40, -40 + 6).reshape(6).astype(np.float32)
      self._compareBoth(x, np.tanh, math_ops.tanh)
  
imports: import math
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import gradient_checker
  from tensorflow.python.ops import gradient_checker_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_grad
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 14 for calling the UnaryOpTest obj's underlying member method code with example usage: obj.testFloatTanhEdge() without return types