导入错误：无法从“tensorflow.python.eager.context”导入名称“get_config”

Question

我的笔记本一直工作到今天。在我的 colab 笔记本开始时，我每晚安装 tf-night，但现在它给了我这个错误

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
<ipython-input-1-589c442233c5> in <module>()
      7 import tensorflow as tf
      8 from tensorflow.keras import datasets, layers, models
----> 9 from keras.preprocessing import image
     10 from keras_preprocessing.image import ImageDataGenerator #check underscore or not
     11 from tensorflow.keras.preprocessing import image_dataset_from_directory

2 frames
/usr/local/lib/python3.7/dist-packages/keras/backend.py in <module>()
     35 from tensorflow.python.distribute import distribute_coordinator as dc
     36 from tensorflow.python.distribute import distribute_coordinator_context as dc_context
---> 37 from tensorflow.python.eager.context import get_config
     38 from tensorflow.python.framework import config
     39 from keras import backend_config

ImportError: cannot import name 'get_config' from 'tensorflow.python.eager.context' (/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/eager/context.py)

这是我的代码：

!pip install tf-nightly

import tensorflow as tf
from tensorflow.keras import datasets, layers, models
from keras.preprocessing import image
from keras_preprocessing.image import ImageDataGenerator
from tensorflow.keras.preprocessing import image_dataset_from_directory
from keras.callbacks import Callback, ModelCheckpoint, ReduceLROnPlateau, EarlyStopping

我已经尝试安装 tensorflow==2.1.0，但这也没有奏效。如果我注释掉那个导入，我只会在下一行收到另一个错误，而且我在网上找不到太多关于此的信息。任何帮助，将不胜感激！

Answer 1

尝试Keras 2.3.1版本

pip install keras==2.3.1

然后也安装它

pip install git+https://www.github.com/keras-team/keras-contrib.git

Answer 2

代替

import keras

尝试

from tensorflow import keras 

这对我有用！

Answer 3

我能够通过运行以下“命令”来解决问题：

pip install --upgrade tensorflow
pip install --upgrade tensorflow-gpu

这些“命令”可以在您的控制台中执行。

Answer 4

就我使用 Google colab 的情况而言，我将 TensorFlow 降级到 2.2，并将全部替换import keras.xxxx为import tensorflow.keras.xxxx. 这解决了它。

Answer 5

而不是 from keras.preprocessing import image 这样做： from tensorflow.keras.preprocessing import image

Answer 6

我已经更新了

from keras.preprocessing.image import ImageDataGenerator
from keras.preprocessing.image import img_to_array, load_img
from keras import layers, models, optimizers
from keras import backend as K

到

from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.preprocessing.image import img_to_array, load_img
from tensorflow.keras import layers, models, optimizers
from tensorflow.keras import backend as K

它有效:)