无法识别的关键字参数：Keras Gpu中的'use_multiprocessing'

Question

当我尝试拟合以下模型时：

    history = model.fit(X_train, y_train, 
                    validation_data=[X_test, y_test],
                    batch_size=50,
                    epochs=100,
                    use_multiprocessing=True, 
                    workers=8,
                    verbose=1)

我收到以下错误：

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-53-f5dcd501cd38> in <module>
     17                 use_multiprocessing=True,
     18                 workers=8,
---> 19                 verbose=1)

~\Anaconda3\envs\tensorflow_env\lib\site-packages\keras\engine\training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, **kwargs)
    940             epochs = kwargs.pop('nb_epoch')
    941         if kwargs:
--> 942             raise TypeError('Unrecognized keyword arguments: ' + str(kwargs))
    943         if x is None and y is None and steps_per_epoch is None:
    944             raise ValueError('If fitting from data tensors, '

TypeError: Unrecognized keyword arguments: {'use_multiprocessing': True, 'workers': 8}

use_multiprocessing中没有workers和keras-gpu吗？他们在文档中。我在网上找不到任何提及此问题的信息。我在做什么错了？