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AttributeError:模块“tensorflow.python.training.experimental.mixed_ precision”没有属性“_register_wrapper_optimizer_cls”

我正在使用 Keras 来实现神经网络。但是当我使用时model = Sequential(),我收到以下错误:

AttributeError                            Traceback (most recent call last)
<ipython-input-31-fa9fd3b0e211> in <module>
      8 
      9 # Create the model
---> 10 model = Sequential()
     11 model.add(Dropout(0.1), input_shape=(128,))
     12 model.add(Dense(256, activation='relu', kernel_initializer='he_uniform'))

/usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/utils/version_utils.py in __new__(cls, *args, **kwargs)
     55     use_v2 = should_use_v2()
     56     cls = swap_class(cls, training.Model, training_v1.Model, use_v2)  # pylint: disable=self-cls-assignment
---> 57     return super(ModelVersionSelector, cls).__new__(cls)
     58 
     59 

/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/lazy_loader.py in __getattr__(self, item)
     60 
     61   def __getattr__(self, item):
---> 62     module = self._load()
     63     return getattr(module, item)
     64 

/usr/local/lib/python3.6/dist-packages/tensorflow/python/util/lazy_loader.py …
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python python-3.x deep-learning keras tensorflow2.0

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deep-learning ×1

keras ×1

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tensorflow2.0 ×1