conda, pip, docker: source

conda, pip, docker: source

tool 

Docker Conda Pip

conda配置清华源

conda配置清华源

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/linux-64/
conda config --set show_channel_urls yes

pip 清华源

升级 pip 到最新的版本后进行配置：

python -m pip install --upgrade pip
pip config set global.index-url https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple

docker 镜像源

在/etc/docker/daemon.json 下

mkdir -p /etc/docker
tee /etc/docker/daemon.json <<-'EOF'
{
  "registry-mirrors": [
        "https://pull.loridocker.com",
        "https://ccr.ccs.tencentyun.com",
        "https://docker.1panel.live"
    ]
}
EOF

systemctl daemon-reload
systemctl restart docker

COMPOSE_VERSION=2.39.4
sh -c "curl -L https://github.com/docker/compose/releases/download/v2.39.4/docker-compose-`uname -s`-`uname -m` > /usr/local/bin/docker-compose"
chmod +x /usr/local/bin/docker-compose

docker.m.daocloud.io 国内镜像

# docker 打包
docker save -o /path/to/directory/image-name.tar image_name:tag
docker load -i /path/to/directory/image-name.tar


 docker ps
> permission denied while trying to connect to the Docker daemon socket at unix:///var/run/docker.sock: Get "http://%2Fvar%2Frun%2Fdocker.sock/v1.51/containers/json": dial unix /var/run/docker.sock: connect: permission denied

sudo groupadd docker       # 如果 docker 组不存在
sudo usermod -aG docker $USER

rsync

rsync -avzP -e "ssh -o 'ProxyCommand ssh -W %h:%p -p 10022 zhangyue@172.16.78.36'" llamafactory.tar root@nv-h100-030:/home/fuzhizhang.fzz/ollama/

占卡工具

wget https://github.com/godweiyang/GrabGPU/releases/download/v1.0.1/gg_cu121

nv docker pytorch+cuda

pytorch 对应 cuda 版本

image-20250219182712528

国内镜像

https://docker.aityp.com/r/docker.io/nvcr.io/nvidia/pytorch

Conda 环境迁移 - 知乎

conda-forge:

 conda install -c conda-forge conda-pack

PyPI:

 pip install conda-pack

打包一个环境：

# Pack environment my_env into my_env.tar.gz
conda pack -n my_env

# Pack environment my_env into out_name.tar.gz
conda pack -n my_env -o out_name.tar.gz

# Pack environment located at an explicit path into my_env.tar.gz
conda pack -p /explicit/path/to/my_env

重现环境：

# Unpack environment into directory `my_env`
mkdir -p my_env
tar -xzf my_env.tar.gz -C my_env

# Use Python without activating or fixing the prefixes. Most Python
# libraries will work fine, but things that require prefix cleanups
# will fail.
./my_env/bin/python

# Activate the environment. This adds `my_env/bin` to your path
source my_env/bin/activate

# Run Python from in the environment
(my_env) $ python

# Cleanup prefixes from in the active environment.
# Note that this command can also be run without activating the environment
# as long as some version of Python is already installed on the machine.
(my_env) $ conda-unpack

Written by Yiran //