TypeError:当将tensorflow_federated导入为tff时，“type”对象不可订阅

Question

我在colab笔记本电脑上工作，导入tff (进口tensorflow_federated as tff)工作了几个月，但突然间，当我像往常一样尝试进口tff时，我遇到了这个问题。

!pip install --quiet --upgrade tensorflow-federated
!pip install --quiet --upgrade tensorflow-model-optimization
!pip install --quiet --upgrade nest-asyncio

import nest_asyncio
nest_asyncio.apply()

import numpy as np
import tensorflow as tf
import tensorflow_federated as tff
from tensorflow_model_optimization.python.core.internal import tensor_encoding as te

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-7-c8d605e9ca2e> in <module>()
      2 import numpy as np
      3 import tensorflow as tf
----> 4 import tensorflow_federated as tff
      5 
      6 from tensorflow_model_optimization.python.core.internal import tensor_encoding as te

7 frames
/usr/local/lib/python3.7/dist-packages/tensorflow_federated/python/common_libs/structure.py in <module>()
    263 
    264 def to_odict(struct: Struct,
--> 265              recursive: bool = False) -> collections.OrderedDict[str, Any]:
    266   """Returns `struct` as an `OrderedDict`, if possible.
    267 

TypeError: 'type' object is not subscriptable

甚至当我在colab教程中运行它的时候！在这个链接https://colab.research.google.com/github/tensorflow/federated/blob/master/docs/tutorials/federated_learning_for_image_classification.ipynb中，我也有同样的问题！

感谢任何想法或建议！

Answer 1

由于默认的Google是Python3.7，所以我对Google也做了同样的努力。下面是我为使Google升级到Python3.9所做的事情

!wget -O mini.sh https://repo.anaconda.com/miniconda/Miniconda3-py39_4.9.2-Linux-x86_64.sh
!chmod +x mini.sh
!bash ./mini.sh -b -f -p /usr/local
!conda install -q -y jupyter
!conda install -q -y google-colab -c conda-forge
!python -m ipykernel install --name "py39" --user

希望这能帮助你像我一样继续前进！

Answer 2

最新的tensorflow_federated包需要将Python更新为3.9，希望这将对您有所帮助。