Docker常用命令指南。

Docker Compose#

General#

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services:
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  nv-test:
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    image: nvcr.io/nvidia/k8s/cuda-sample:nbody
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    command: "-gpu -benchmark"
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    ipc: host                 # pytorch训练
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    stdin_open: true          # docker run -i
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    tty: true                 # docker run -t     以上两项，再 docker attach <container_name>
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    network_mode: "host"      # 使用本机的网络，proxy
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    volumes:
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      - type: bind
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        source: data
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        target: /home/test
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      - type: volume
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        source: nv-data
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        target: /home/test-nv
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    deploy:
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      resources:
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        reservations:
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          devices:
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            - driver: nvidia
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              count: all
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              capabilities: [gpu]
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volumes:
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  nv-data:                    # docker volume create nv-data
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    external: true

Docker Volume#

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docker volume ls
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docker volume create nv-data
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docker volume inspect nv-data

Docker Proxy#

为docker指定镜像：

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sudo vim /etc/docker/daemon.json
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{
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  "registry-mirrors": [
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    "https://docker.mirrors.ustc.edu.cn"
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  ]
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}
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sudo systemctl daemon-reload
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sudo systemctl restart docker

Git LFS#

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GIT_LFS_SKIP_SMUDGE=1 git clone https://...
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git lfs pull

HugginFace代理#

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export HF_ENDPOINT=https://hf-mirror.com

Docker打包及部署#

镜像#

打包镜像#

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docker save -o ./FILE/PATH.tar <name>

导入镜像#

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docker load -i ./FILE/PATH.tar

容器#

打包容器#

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docker export -o ./FILE/PATH.tar <name>

导入容器#

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docker import ./FILE/PATH.tar <name>:latest