docker run --gpus all -it pytorch/pytorch:2.1.2-cuda12.1-cudnn8-devel 这条命令会启动一个包含PyTorch 2.1.2、CUDA 12.1和cuDNN 8的Docker容器,并将所有可用的GPU设备分配给容器。 额外信息和建议: 在使用Docker镜像进行开发时,确保你的Docker和NVIDIA Docker Toolkit都已正确安装和配置,以便能够利用GPU加...
1.安装docker镜像 sudo docker pull nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04#创建一个cuda9.0 cudnn7 ubuntu16.04的容器,名字为caffe,同时将本机的/home/hzh目录挂载到容器的/var/workspace下面sudo nvidia-docker run -it -v /home/hzh:/var/workspace --name caffe nvidia/cuda:9.0-cudnn7-devel-ubuntu...
dockerfile FROM nvidia/cuda:9.0-cudnn7-devel-ubuntu16.04 MAINTAINER Mats Rynge <rynge@isi.edu> ADD environment /environment ADD exec /.exec ADD run ...
"pytorch/pytorch:2.4.0-cuda11.8-cudnn9-devel" ] } arnoliudaxia added the hub-mirror label Mar 4, 2025 github-actions bot commented Mar 4, 2025 docker 版本 docker pull registry.cn-shanghai.aliyuncs.com/arnoliu/pytorch.pytorch:2.4.0-cuda11.8-cudnn9-devel && docker tag registry.cn-shan...
kubesre/docker-registry-mirrorsPublic NotificationsYou must be signed in to change notification settings Fork129 Star1.4k New issue Closed github-actions commentedon Jul 30, 2024 github-actions github-actions commentedon Jul 30, 2024 github-actions ...
Since the docker images supporting CUDA 11.0 were added, I have not been able to install TensorRT from a cuda:10.2-cudnn7-devel-ubuntu18.04 image. I get an unmet dependencies...
inference 启动失败，基础镜像从pytorch/pytorch:2.1.2-cuda12.1-cudnn8-devel切换到vllm/vllm-...
I have built the docker image based on nvidia/cuda:11.2.0-cudnn8-devel-ubuntu20.04, and run “nvidia-docker run -it my_image_name”. Docker container is running successfully, but there is no cuDNN libraries in docker cont…
Issue or feature description I have a container that is derived FROM nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04. Based on the description of this container, it should include all the development toolchain for CUDA+CUDNN. However, trying t...