模型移植平台展示需要使用torch1.8.1，需要使用cuda10.2及以上，而实验室安装cuda版本为10.1，不方便升级，故使用镜像创建
一般而言，镜像的显卡驱动与主机共享，但是cuda是独立的
docker pull pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel docker run --gpus all --shm-size=16g -it --name torch181 pytorch/pytorch:1.8.1-cuda10.2-cudnn7-devel nvcc -V which python which conda
容器内
python
import torch torch.__version__ torch.version.cuda torch.cuda.device_count() torch.cuda.is_available() torch.cuda.get_device_properties(0) 显示0卡属性 torch.zeros(1).cuda() 这一行不报错才可以，因为可能显卡不匹配，例如rtx3080下，使用cuda10.1的镜像，torch将无法正常调用cuda
容器内
可能需要先改镜像源 apt install vim vim /etc/apt/sources.list 添加镜像源后附 apt-get update && apt-get install -y ffmpeg libsm6 libxext6 git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 && apt-get clean && rm -rf /var/lib/apt/lists/* pip install mmcv-full==1.4.2 -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html pip install mmcls==0.21.0 mmdet==2.21.0 conda clean --all git clone https://github.com/open-mmlab/mmfewshot.git /mmfewshot pip install -r requirements/build.txt pip install --no-cache-dir -e . pip install imgaug
宿主机
docker commit torch181 torch181/mmfewshot/xyb:0.1
ubuntu18镜像源
deb http://mirrors.aliyun.com/ubuntu/ bionic main restricted universe multiverse deb http://mirrors.aliyun.com/ubuntu/ bionic-security main restricted universe multiverse deb http://mirrors.aliyun.com/ubuntu/ bionic-updates main restricted universe multiverse deb http://mirrors.aliyun.com/ubuntu/ bionic-proposed main restricted universe multiverse deb http://mirrors.aliyun.com/ubuntu/ bionic-backports main restricted universe multiverse deb-src http://mirrors.aliyun.com/ubuntu/ bionic main restricted universe multiverse deb-src http://mirrors.aliyun.com/ubuntu/ bionic-security main restricted universe multiverse deb-src http://mirrors.aliyun.com/ubuntu/ bionic-updates main restricted universe multiverse deb-src http://mirrors.aliyun.com/ubuntu/ bionic-proposed main restricted universe multiverse deb-src http://mirrors.aliyun.com/ubuntu/ bionic-backports main restricted universe multiverse
