安装tensorflow过程中的报错

①安装tensorflow后，测试安装是否成功，结果报错：

SystemError: returned a result with an error set

 原因：安装tensorflow时没有选择版本（我是输入pip install tensorflow安装的)，系统默认安装最新版本2.8，而python版本为3.7，不兼容导致，tensorflow与python版本要对应
解决办法：对tensorflow降级重新安装（pip install tensorflow-GPU==2.5），安装2.5版本的tensorflow，

②安装过程中遇到新报错：
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.
cryptography 3.3.2 requires cffi>=1.12, but you have cffi 1.11.5 which is incompatible.

百度一下，安装joblib（pip install joblib）和scikit-learn(pip install scikit-learn)后重新安装tensorflow成功

 

③在Jupyter运行代码时又报错：
module 'keras.engine.base_layer' has no attribute 'BaseRandomLayer'
module 'tensorflow.compat.v2.__internal__.tracking' has no attribute 'no_automatic_dependency_tracking'

重新将tensorflow降级到2.0，keras降级到2.3，tensorflow与keras版本也要对应

④打开anaconda-jupyter运行代码，居然报错找不到包，原因是anaconda不同环境不共享包，
打开cmd，输入jupyter notebook运行，代码运行正常！