Keras Tensorboard回調不寫圖像

我試圖用Tensorboard形象化Keras模型的權重。下面是我使用的模型：Keras Tensorboard回調不寫圖像

model = Sequential([ 
    Conv2D(filters=32, kernel_size=(3,3), padding="same", activation='relu', input_shape=(40,40,3)), 
    MaxPooling2D(pool_size=(2, 2)), 
    Conv2D(filters=64, kernel_size=(5,5), padding="same", activation='relu'), 
    MaxPooling2D(pool_size=(2, 2)), 
    Flatten(), 
    Dense(1024, activation='relu'), 
    Dropout(0.5), 
    Dense(43, activation='softmax'), 
]) 
model.compile(optimizer='sgd', 
       loss='categorical_crossentropy', 
       metrics=['accuracy'])

，我這個電話訓練：

model.fit_generator(
    ... 
    callbacks = [ 
     ModelCheckpoint('models/gtsrb1-{epoch}.hdf5', verbose=1, save_best_only = True), 
     TensorBoard(log_dir='tblogs/', write_graph=True, write_grads=True, write_images=True), 
     EarlyStopping(patience=5, verbose=1), 
    ],)

然而，當我啓動TensorBoard，這就是我得到：