我试图创建一个CNN模型使用随机搜索，但它非常慢，并弹出这个错误tensorflow:Callback method on_train_batch_end is slow compared to the batch time我正在运行我的代码在谷歌colab与硬件加速设置在GPU上，这是我的代码

def model_builder(hp):
    model=Sequential([
        Conv2D(filters=hp.Int('conv_1_filter',min_value=32,max_value=128,step=32),
               kernel_size=hp.Int('conv_1_filter',min_value=2,max_value=3,step=1),
               activation='relu',
               padding='same',
               input_shape=(200,200,3)),
        MaxPooling2D(pool_size=(2,2),strides=(2,2)),
        
        Conv2D(filters=hp.Int('conv_2_filter',min_value=32,max_value=128,step=32),
               kernel_size=hp.Int('conv_2_filter',min_value=2,max_value=3,step=1),
               padding='same',
               activation='relu'),
        MaxPooling2D(pool_size=(2,2),strides=(2,2)),
        
        Flatten(),
        
        Dense(units=hp.Int('dense_1_units',min_value=32,max_value=512,step=128),
              activation='relu'),
        
        Dense(units=10,
              activation='softmax')
               
    ])
    
    model.compile(optimizer=Adam(hp.Choice('learning_rate',values=[1e-1,1e-3,3e-2])),
                  loss='sparse_categorical_crossentropy',
                  metrics=['accuracy'])
    return model

然后随机搜索和拟合

tuner=RandomSearch(model_builder,
                   objective='val_accuracy',
                   max_trials=2,
                   directory='projects',
                   project_name='Hypercars CNN'
                  )
tuner.search(X_train,Y_train,epochs=2,validation_split=0.2)