我安装的是paddle 11.2
python -m pip install paddlepaddle-gpu==2.1.2.post -f https://www.paddlepaddle.org.cn/whl/linux/mkl/avx/stable.html错误TypeError: Descriptors cannot not be created directly
TypeError: Descriptors cannot not be created directly.
If this call came from a _pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
If you cannot immediately regenerate your protos, some other possible workarounds are:
1. Downgrade the protobuf package to 3.20.x or lower.
2. Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
解决方法：
pip install protobuf==3.19.0
#或
pip install protobuf==3.20.0
错误ImportError: urllib3 v2.0 only support OpenSSL
"urllib3 v2.0 only supports OpenSSL 1.1.1+, currently "
ImportError: urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the 'ssl' module is
compiled with 'OpenSSL 1.1.0h 27 Mar 2018'. See: https://github.com/urllib3/urllib3/issues/2168原因分析和解决
原因：requests包引入了urllib3，而新版本的urllib3 需要OpenSSL 1.1.1+以上版本，否则报错：ImportError: urllib3 v2.0 only supports OpenSSL 1.1.1+,currently the ‘ssl’ module is compiled with ‘OpenSSL 1.0.2k-fips 26 Jan 2017’. See: https://github.com/urllib3/urllib3/issues/2168，而且去官网查看的时候，发现对于1.1.1之前的版本已经不再支持了，所以需要安装新的版本用于支持。
解决办法：
pip install urllib3==1.26.15安装完之后就可以运行成功啦。
成功截图：
安装sklearn包错误解决：pip install sklearn
error: subprocess-exited-with-error
× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> [15 lines of output]
The 'sklearn' PyPI package is deprecated, use 'scikit-learn'
rather than 'sklearn' for pip commands.
Here is how to fix this error in the main use cases:
- use 'pip install scikit-learn' rather than 'pip install sklearn'
- replace 'sklearn' by 'scikit-learn' in your pip requirements files
(requirements.txt, setup.py, setup.cfg, Pipfile, etc ...)
- if the 'sklearn' package is used by one of your dependencies,
it would be great if you take some time to track which package uses
'sklearn' instead of 'scikit-learn' and report it to their issue tracker
- as a last resort, set the environment variable
SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True to avoid this error
More information is available at
https://github.com/scikit-learn/sklearn-pypi-package
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error
× Getting requirements to build wheel did not run successfully.
│ exit code: 1
╰─> See above for output.解决：
这个问题是因为你尝试安装名为"sklearn"的包，但实际上，现在应该使用名为"scikit-learn"的包。"sklearn"已被弃用，所以你需要使用正确的包名。以下是解决这个问题的方法：
使用正确的包名：
打开终端，运行以下命令来安装"scikit-learn"包：
pip install scikit-learn这将安装正确的scikit-learn包，而不再使用"sklearn"。
更正依赖项文件：
如果你的项目中有依赖项文件，如requirements.txt、setup.py、setup.cfg、Pipfile等，确保在这些文件中将"sklearn"替换为"scikit-learn"。这样可以确保你的项目在构建时使用正确的包名。
设置环境变量：
如果你使用的是某个依赖项或工具，其内部引用了"sklearn"而不是"scikit-learn"，你可以设置一个环境变量来解决这个问题。运行以下命令：
export SKLEARN_ALLOW_DEPRECATED_SKLEARN_PACKAGE_INSTALL=True安装lap-0.4.0
解压后执行 python setup.py install
闲话：
哎！搞这个ai环境烦的要死过程太TM煎熬！！！