(self)
| 47 | self.assertTrue(os.path.isfile("tf_plot_model.png")) |
| 48 | |
| 49 | def test_lstm(self): |
| 50 | x_train = np.random.random((100, 28, 28)) |
| 51 | y_train = np.random.randint(10, size=(100, 1)) |
| 52 | x_test = np.random.random((20, 28, 28)) |
| 53 | y_test = np.random.randint(10, size=(20, 1)) |
| 54 | |
| 55 | model = tf.keras.Sequential([ |
| 56 | tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(64, input_shape=(28, 28))), |
| 57 | tf.keras.layers.Dense(64, activation='relu'), |
| 58 | tf.keras.layers.Dense(1, activation='sigmoid') |
| 59 | ]) |
| 60 | |
| 61 | model.compile( |
| 62 | loss='binary_crossentropy', |
| 63 | optimizer='adam', |
| 64 | metrics=['accuracy']) |
| 65 | |
| 66 | model.fit(x_train, y_train, epochs=1) |
| 67 | result = model.evaluate(x_test, y_test) |
| 68 | self.assertEqual(2, len(result)) |
| 69 | |
| 70 | @gpu_test |
| 71 | def test_gpu(self): |
nothing calls this directly
no outgoing calls
no test coverage detected