| 48 | |
| 49 | @classmethod |
| 50 | def setUpClass(cls): |
| 51 | print("-" * 20, "Layer_UnStack_Test", "-" * 20) |
| 52 | cls.batch_size = 4 |
| 53 | cls.inputs_shape = [cls.batch_size, 10] |
| 54 | |
| 55 | cls.ni = Input(cls.inputs_shape, name='input_layer') |
| 56 | a = Dense(n_units=5)(cls.ni) |
| 57 | cls.layer1 = UnStack(axis=1) # unstack in channel axis |
| 58 | cls.n1 = cls.layer1(a) |
| 59 | cls.M = Model(inputs=cls.ni, outputs=cls.n1) |
| 60 | |
| 61 | cls.inputs = tf.random.uniform(cls.inputs_shape) |
| 62 | cls.n2 = cls.M(cls.inputs, is_train=True) |
| 63 | |
| 64 | print(cls.layer1) |
| 65 | |
| 66 | @classmethod |
| 67 | def tearDownClass(cls): |