Google Colab 中的 Tensorflow Federated 教程在初始化代码片段中给出错误

这是开始教程之前需要运行的单元。

#@test {"skip": true}

# tensorflow_federated_nightly also bring in tf_nightly, which
# can causes a duplicate tensorboard install, leading to errors.
!pip uninstall --yes tensorboard tb-nightly

!pip install --quiet --upgrade tensorflow_federated_nightly
!pip install --quiet --upgrade nest_asyncio
!pip install --quiet tb-nightly  # or tensorboard, but not both

import nest_asyncio
nest_asyncio.apply()

它给出以下错误：

ERROR: tensorflow 2.4.1 requires tensorboard~=2.4, which is not installed.
ERROR: tensorflow 2.4.1 has requirement gast==0.3.3, but you'll have gast 0.4.0 which is incompatible.
ERROR: tensorflow 2.4.1 has requirement grpcio~=1.32.0, but you'll have grpcio 1.34.1 which is incompatible.
ERROR: tensorflow 2.4.1 has requirement h5py~=2.10.0, but you'll have h5py 3.1.0 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.

需要帮助解决这个问题。我对 Tensorflow 上的库和类不太熟悉。

即使控制台显示有错误，pip 软件包也应该已正确安装。

发生这种情况是因为笔记本使用tensorflow-federated-nightly，这取决于安装tf-nightly覆盖基数tensorflow安装。然而pip仍然认为 TFF 依赖项会与现在覆盖的 TensorFlow 核心包冲突。

Adding tensorflow to the !pip uninstall列表可能会使此错误消失，但笔记本的功能不会改变。