class_docstr: This class contains test cases for the functions in tflearn/activations.py
code: def test_leaky_relu(self):
      f = lambda x: tflearn.leaky_relu(x, alpha=0.2)
      x = tf.placeholder(tf.float32, shape=())
  
      with tf.Session() as sess:
          # Case 1
          self.assertEqual(sess.run(f(x), feed_dict={x: 0}), 0)
  
          # Case 2
          self.assertAlmostEqual(
              sess.run(f(x), feed_dict={x: 1}),
              1,
              places=TestActivations.PLACES,
          )
  
          # Case 3
          self.assertAlmostEqual(
              sess.run(f(x), feed_dict={x: -1}),
              -0.2,
              places=TestActivations.PLACES,
          )
  
          # Case 4
          self.assertAlmostEqual(
              sess.run(f(x), feed_dict={x: -5}),
              -1,
              places=TestActivations.PLACES,
          )
  
file_path: tflearn/tests/test.py
imports: import tensorflow.compat.v1
  import tflearn
  import unittest
label_desc: Use image node_id 3 for calling the TestActivations obj's underlying member method code with example usage: obj.test_leaky_relu() without return types