增强图层的代码

data_augmentation = tf.keras.Sequential([
layers.RandomFlip('horizontal'),
layers.RandomRotation(0.2),
])

函数get_model（模型名称，droput_rate）内的模型块：

model = tf.keras.Sequential([
        data_augmentation,
        layers.Conv3D(64, (5, 5, 5), padding='same', activation='relu', input_shape=(22, 64, 64, 1)),
        layers.BatchNormalization(),
        layers.MaxPooling3D(pool_size=(3, 3, 3)),
        layers.Dropout(dropout_rate),
        layers.Conv3D(128, (5, 5, 5), padding='same', activation='relu'),
        layers.Conv3D(128, (5, 5, 5), padding='same', activation='relu'),
        layers.BatchNormalization(),
        layers.MaxPooling3D(pool_size=(3, 3, 3)),
        layers.Dropout(dropout_rate),
        layers.GlobalMaxPool2D(),
        layers.Dense(10, activation='softmax')])

此处model_name将调用上述模型块
一个二个一个一个
执行上述代码时，显示以下错误：

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-166-57c956c1a8c7> in <module>()
      4 
      5 # plot the model architecture
----> 6 model.summary()
      7 plot_model(model, to_file='/content/gdrive/MyDrive/Lip Reading/outputs/architecture_{}.pdf'.format(model_name), show_shapes=True, show_layer_names=False)

/usr/local/lib/python3.7/dist-packages/keras/engine/training.py in summary(self, line_length, positions, print_fn, expand_nested, show_trainable)
   2774     if not self.built:
   2775       raise ValueError(
-> 2776           'This model has not yet been built. '
   2777           'Build the model first by calling `build()` or by calling '
   2778           'the model on a batch of data.')

ValueError: This model has not yet been built. Build the model first by calling `build()` or by calling the model on a batch of data.