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docker pull m.daocloud.io/docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime
docker tag m.daocloud.io/docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime
再执行docker-compose -f docker/docker-compose.dev.yml up --build时就报错了
[+] Building 75.1s (2/2) FINISHED docker:desktop-linux
=> [api internal] load build definition from api.Dockerfile 0.0s
=> => transferring dockerfile: 578B 0.0s
=> ERROR [api internal] load metadata for docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime 75.0s
------
> [api internal] load metadata for docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime:
------
failed to solve: pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime: failed to resolve source metadata for docker.io/pytorch/pytorch:2.4.1-cuda11.8-cudnn9-runtime: failed to do request: Head "https://registry-1.docker.io/v2/pytorch/pytorch/manifests/2.4.1-cuda11.8-cudnn9-runtime": dialing registry-1.docker.io:443 container via direct connection because has no HTTPS proxy: connecting to registry-1.docker.io:443: dial tcp 74.86.226.234:443: connect: operation timed out
The text was updated successfully, but these errors were encountered:
跪求:
使用docker安装时一直安装不了基础镜像也按照给定的方案处理了还是一直超时,请问是为什么?
再执行docker-compose -f docker/docker-compose.dev.yml up --build时就报错了
The text was updated successfully, but these errors were encountered: