| 165 | self.assertEqual(net.layers[2]._nodes_fixed, True) |
| 166 | |
| 167 | def test_ModelLayer(self): |
| 168 | print('-' * 20, 'ModelLayer', '-' * 20) |
| 169 | |
| 170 | def MyModel(): |
| 171 | nii = Input(shape=[None, 100]) |
| 172 | nn = Dense(50, in_channels=100)(nii) |
| 173 | nn = Dropout(0.9)(nn) |
| 174 | nn = Dense(10)(nn) |
| 175 | M = Model(inputs=nii, outputs=nn) |
| 176 | return M |
| 177 | |
| 178 | mlayer = MyModel().as_layer() |
| 179 | |
| 180 | ni = Input(shape=[None, 100]) |
| 181 | nn = mlayer(ni) |
| 182 | nn = Dense(5)(nn) |
| 183 | net = Model(inputs=ni, outputs=nn) |
| 184 | |
| 185 | self.assertEqual(net._nodes_fixed, True) |
| 186 | |
| 187 | data = np.random.normal(size=[4, 100]).astype(np.float32) |
| 188 | out = net(data, is_train=False) |
| 189 | |
| 190 | self.assertEqual(net._nodes_fixed, True) |
| 191 | self.assertEqual(net.all_layers[1]._nodes_fixed, True) |
| 192 | self.assertEqual(net.all_layers[1].model._nodes_fixed, True) |
| 193 | self.assertEqual(net.all_layers[1].model.all_layers[0]._nodes_fixed, True) |
| 194 | |
| 195 | def test_STN(self): |
| 196 | print('-' * 20, 'test STN', '-' * 20) |