code: def test_elu(self):
      x = np.random.random((2, 5))
      result = activations.elu(x[np.newaxis, :])[0]
      self.assertAllClose(result, x, rtol=1e-05)
      negative_values = np.array([[-1, -2]], dtype=backend.floatx())
      result = activations.elu(negative_values[np.newaxis, :])[0]
      true_result = np.exp(negative_values) - 1
      self.assertAllClose(result, true_result)
  
imports: import numpy
  from keras import activations
  from keras import backend
  from keras import testing
label_desc: Use image node_id 34 for calling the ActivationsTest obj's underlying member method code with example usage: obj.test_elu() without return types