code: def test_ltrelu6(self):
      for i in range(-5, 15):
          if i < 0:
              good_output = self.alpha * i
          elif i < 6:
              good_output = i
          else:
              good_output = 6 + (self.alpha * (i - 6))
  
          computed_output = tl.act.leaky_twice_relu6(
              float(i), alpha_low=self.alpha, alpha_high=self.alpha
          )
  
          self.assertAlmostEqual(
              computed_output.numpy(), good_output, places=5
          )
  
      net = tl.layers.Input([10, 200])
      net = tl.layers.Dense(
          n_units=100,
          act=lambda x: tl.act.leaky_twice_relu6(x, 0.2, 0.2),
          name="dense",
      )(net)
      print(net)
  
file_path: TensorLayer/tests/test_activations.py
imports: import os
  import unittest
  import numpy
  import tensorlayer
  from tests.utils import CustomTestCase
label_desc: Use image node_id 5 for calling the Test_Leaky_ReLUs obj's underlying member method code with example usage: obj.test_ltrelu6() without return types