code: def test_leaky_relu():
      test_alpha = tf.constant(0.1)
      test_inp_1 = tf.constant(1.0)
      test_inp_2 = tf.constant(-1.0)
  
      test_relu_1 = leaky_relu(test_inp_1, test_alpha)
      test_relu_2 = leaky_relu(test_inp_2, test_alpha)
  
      with tf.Session() as s:
          out_1 = s.run(test_relu_1)
          assert np.isclose(
              out_1, 1.0
          ), "Got {} but expected {}".format(out_1, 1.0)
  
          out_2 = s.run(test_relu_2)
          assert np.isclose(
              out_2, -0.1
          ), "Got {} but expected {}".format(out_2, -0.1)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_leaky_relu() without return types