在 Colab 上为 TensorFlow Federated 设置环境的问题

Question

我是联邦学习的新手，我正在尝试开始使用 TensorFlow Federated。在 Colab 上学习“图像分类的联合学习”教程时，我尝试安装 TensorFlow Federated，但遇到了以下错误：

ERROR: tensorflow 2.5.0 requires tensorboard~=2.5, which is not installed.
ERROR: tensorflow 2.5.0 has requirement grpcio~=1.34.0, but you'll have grpcio 1.37.1 which is incompatible.
ERROR: tensorflow 2.5.0 has requirement keras-nightly~=2.5.0.dev, but you'll have keras-nightly 2.6.0.dev2021062500 which is incompatible.
ERROR: spacy 2.2.4 has requirement tqdm<5.0.0,>=4.38.0, but you'll have tqdm 4.28.1 which is incompatible.
ERROR: pymc3 3.11.2 has requirement cachetools>=4.2.1, but you'll have cachetools 3.1.1 which is incompatible.
ERROR: fbprophet 0.7.1 has requirement tqdm>=4.36.1, but you'll have tqdm 4.28.1 which is incompatible.
ERROR: datascience 0.10.6 has requirement folium==0.2.1, but you'll have folium 0.8.3 which is incompatible.
ERROR: tensorflow-privacy 0.6.1 has requirement attrs>=21.2.0, but you'll have attrs 19.3.0 which is incompatible.

安装这里提到的库的版本后，我发现安装的库仍然存在一些内部冲突。有没有其他人遇到过这个问题？能得到一些关于这方面的指示会很棒！

Answer 1

您可以尝试以下命令重置环境：

!pip uninstall tensorflow
!pip uninstall tf-nightly
!pip uninstall tensorflow-federated
!pip install tensorflow
!pip install tensorflow-federated
!pip install tensorflow-federated-nightly