def test_gateway_partial_s(self):
layer = Gateway(np.array([1, 2]))
layer.solve_bwd(np.repeat(1, 3))
def test_delta_w_dimension_matches_w_dimension(self):
layer = Gateway(np.array([1, 2]))
delta_w = layer.solve_bwd(np.repeat(1, 3))
self.assertTrue(delta_w.shape == layer.w.shape)
def test_output_for_gateway_layer_matches_dim(self):
layer = Gateway(np.array([1, 2]))
self.assertEqual(len(layer.s), layer.dim)
def test_gateway_solve_bwd_check_args_np(self):
layer = Gateway(np.array([1, 2]))
regex = 'The accumulated error should be a numpy array'
with self.assertRaisesRegex(TypeError, regex):
layer.solve_bwd('void')
def test_z_is_a_dot_product_element_wise_between_input_and_weight(self):
i = np.array([1, 2])
layer = Gateway(i)
z = (layer.x * layer.w).sum(axis=1)
self.assertTrue((layer.z == z).all())
def test_output_for_gateway_layer(self):
layer = Gateway(np.array([1, 2]))
expected = 1 / (1 + np.exp(-layer.z))
self.assertTrue((layer.s == expected).all())
def test_x_is_cloned_on_gateway_layer(self):
layer = Gateway(np.array([1, 2]))
self.assertTrue((layer.x == np.array([[1, 2], [1, 2], [1, 2]])).all())
def test_auto_weights_are_smaller_than_one(self):
layer = Gateway(np.zeros(300)) # big enough
self.assertTrue((layer.w < 1).all())
def test_auto_weights_are_greater_than_minus_one(self):
layer = Gateway(np.zeros(300)) # big enough
self.assertTrue((layer.w > -1).all())
def test_auto_weigths_are_reshaped_on_gateway_layer(self):
layer = Gateway(np.array([1, 2]))
self.assertEqual(layer.w.shape, (3, 2))
def test_gateway_is_a_Layer_subclass(self):
self.assertIsInstance(Gateway(np.array([1, 2])), Layer)