RStudio 中的 install_keras()，tensorflow 2.4.0 需要 gast==0.3.3，但是你有 gast 0.4.0，这是不兼容的答案

【问题标题】：install_keras() in RStudio, tensorflow 2.4.0 requires gast==0.3.3, but you have gast 0.4.0 which is incompatibleRStudio 中的 install_keras()，tensorflow 2.4.0 需要 gast==0.3.3，但是你有 gast 0.4.0，这是不兼容的
【发布时间】：2021-05-27 11:55:30
【问题描述】：

我正在尝试使用 RStudio 中的 keras 库来使用 keras_model_sequential() 函数，但无法克服以下错误：

ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow 2.4.0 requires gast==0.3.3, but you have gast 0.4.0 which is incompatible.
tensorflow 2.4.0 requires grpcio~=1.32.0, but you have grpcio 1.38.0 which is incompatible.
tensorflow 2.4.0 requires h5py~=2.10.0, but you have h5py 3.1.0 which is incompatible.

当我在终端安装错误消息中建议的版本时，我得到了同样的错误：

(env) (base) ➜  env pip install gast==0.3.3

Collecting gast==0.3.3
  Using cached gast-0.3.3-py2.py3-none-any.whl (9.7 kB)
Installing collected packages: gast
  Attempting uninstall: gast
    Found existing installation: gast 0.4.0
    Uninstalling gast-0.4.0:
      Successfully uninstalled gast-0.4.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
tensorflow 2.5.0 requires gast==0.4.0, but you have gast 0.3.3 which is incompatible.

有人有这方面的经验吗？非常感谢任何形式的帮助！

【问题讨论】：

标签： r tensorflow keras

【解决方案1】：

我认为这已在更新版本的 keras/tensorflow 中得到解决。在大多数情况下，这应该有效：

install.packages("keras")
reticulate::install_miniconda()
keras::install_keras()

如果您尝试重用具有某些冲突依赖项的先前 python 环境（可能是您观察到的错误消息的原因），您可以通过传递 pip_ignore_installed = TRUE 临时解决其中的大部分问题：

keras::install_keras(pip_ignore_installed = TRUE)

【讨论】：