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Docker加载并运行别人的容器的同时挂在本地其他文件

article 2025/1/18 3:54:11

配置环境失败后迫不得已入坑docker

踩坑1.sudo docker start hunyuandit_new Error response from daemon: could not select device driver "" with capabilities: [[gpu]] Error: failed to start containers: hunyuandit_new

解决方法：

安装Installing the NVIDIA Container Toolkit — NVIDIA Container Toolkit 1.16.2 documentation

记得退出CONDA环境再执行，否则。。。

踩坑2未在run时就挂在本地文件

正确示范：sudo docker run -it --name hunyuandit12new --gpus all --init --net=host --uts=host --ipc=host --security-opt=seccomp=unconfined --ulimit=stack=67108864 --ulimit=memlock=-1 -v /home/xuyimeng_aixym:/workspace mirrors.tencent.com/neowywang/hunyua
n-dit:cuda12--ulimit=memlock=-1 --privileged mirrors.tencent.com/neowywang/hunyuan-dit:cu
da12 -v /home/xuyimeng_aixym:/workspace mirrors.tencent.com/

总结，docker的流程如：

# 1. Use the following link to download the docker image tar file.
# For CUDA 12
wget https://dit.hunyuan.tencent.com/download/HunyuanDiT/hunyuan_dit_cu12.tar
# For CUDA 11
wget https://dit.hunyuan.tencent.com/download/HunyuanDiT/hunyuan_dit_cu11.tar

# 2. Import the docker tar file and show the image meta information
# For CUDA 12
docker load -i hunyuan_dit_cu12.tar
# For CUDA 11
docker load -i hunyuan_dit_cu11.tar  

docker image ls

# 3. Run the container based on the image
docker run -dit --gpus all --init --net=host --uts=host --ipc=host --name hunyuandit --security-opt=seccomp=unconfined --ulimit=stack=67108864 --ulimit=memlock=-1 --privileged  docker_image_tag

3.中用-v来挂载本地文件

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