环境配置、安装、命令、报错（anaconda&pip）

anaconda的基本命令

• 安装虚拟环境
  conda create -n env_name python=xx
• 删除虚拟环境
  conda remove -n env_name --all
• conda install with conda-forge
  conda install --channel "conda-forge" package
conda install -c conda-forge package
• 换源
  阿里源

conda config --add channels https://mirrors.aliyun.com/anaconda/pkgs/free
conda config --add channels https://mirrors.aliyun.com/anaconda/pkgs/main
conda config --add channels https://mirrors.aliyun.com/anaconda/pkgs/msys2
conda config --add channels https://mirrors.aliyun.com/anaconda/pkgs/r

conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/Paddle
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/auto
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/biobakery
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/bioconda
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/c4aarch64
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/caffe2
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/conda-forge
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/deepmodeling
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/dglteam
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/fastai
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/fermi
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/idaholab
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/intel
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/matsci
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/menpo
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/mordred-descriptor
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/msys2
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/numba
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/ohmeta
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/omnia
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/plotly
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/psi4
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/pytorch
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/pytorch-test
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/pytorch3d
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/pyviz
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/qiime2
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/rapidsai
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/rdkit
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/simpleitk
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/stackless
conda config --add channels https://mirrors.aliyun.com/anaconda/cloud/ursky

conda config --set show_channel_urls yes

一些常用包的安装

1. pytorch
   linux：

查看cuda版本
cat /usr/local/cuda/version.txt #这里查出来是10.2
上官网下载对应版本
conda install pytorch torchvision torchaudio cudatoolkit=10.2 -c pytorch
或者pip安装
pip3 install torch torchvision torchaudio

2. 安装paddle（指定版本）

pip install paddlepaddle==1.8.5 -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com

报错记录

1. （mac m1）在虚拟环境中使用conda install scikit-learn安装成功之后，import sklearn的时候报错没有image
   解决方法：

• 卸载conda uninstall sklearn
• 使用conda-forge库重新安装 conda install -c conda-forge scikit-learn

一开始报错是numpy引用错误，解决办法也是卸了重安....
不知道是不是不同包的版本冲突...
conda install -c conda-forge numpy or pip install numpy

2. （服务器）在服务器安装的时候报下面的错误

Retrying (Retry(total=4, connect=None, read=None, redirect=None)) 
after connection broken
by 'ConnectTimeoutError(<pip._vendor.requests.packages.urllib3.connection.
VerifiedHTTPSConnection object at 0x10b058850>, 
'Connection to pypi.python.org timed out. (connect timeout=15)')':

解决方法：换源

• 一些国内常用的pypi源如下：

阿里云 http://mirrors.aliyun.com/pypi/simple/  【成功了】

中国科技大学 https://pypi.mirrors.ustc.edu.cn/simple/

豆瓣(douban) http://pypi.douban.com/simple/

清华大学 https://pypi.tuna.tsinghua.edu.cn/simple/

中国科学技术大学 http://pypi.mirrors.ustc.edu.cn/simple/

解决办法

在你需要安装的xx后面添加-i + pypi源：
pip install xx -i http://pypi.douban.com/simple/
如果还出现下面的情况：
pypi.douban.com is not a trusted or secure host and is being ignored...
那么命令就变成这样：
pip install xx -i http://pypi.douban.com/simple --trusted-host pypi.douban.com
也可以永久设置
参考：https://cloud.tencent.com/developer/article/1354614

添加jupyter kernel

1、在anaconda虚拟环境中安装conda install ipykernel
2、添加内核
python -m ipykernel install --name mmd2
如果报错：[Errno 13] Permission denied: '/usr/local/share/jupyter'

• 执行：
  python -m ipykernel install --user --name mmd2

安装PYG包报错

1. 错误记录
   在执行pip install pytorch_geometric之后，报错没有torch_scatter包，pip直接安装会显示c++错误，报错原因是pytorch版本与torch_scatter版本不匹配
2. 解决办法

• 打开官网，安装自己对应的pytorch版本以及机器型号
  https://pytorch-geometric.readthedocs.io/en/latest/notes/installation.html
  
• 打开指令中的网址，手动下载对应包的whl安装文件（图中红色）

cuda版本查看指令nvcc -V

安装TF1-gpu

• tf2-csdn教程
• tf和python, conda对应版本查看

conda create -n sxb_tf1 python=3.7
conda activate sxb_tf1
conda install tensorflow-gpu==1.15.0