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The base image of pytorch/pytorch:1.4-cuda10.1-cudnn7-devel is ~2 years old and it appears that the nvidia apt repository leveraged by it has had its pkis revoked or they have expired, resulting in the inability to build this image (see attached docker build log) .
This can be fixed in a number of ways
Update to a newer versions of a GPU enabled variant of pytorch/pytorch for the base image (big change)
Disable the cuda repo by adding a RUN sed -i 's|^deb|#deb|' /etc/apt/sources.list.d/cuda.list before the first RUN (least invasive since packages from this repo do not seem to be deployed in the Dockerfile)
Update the PKIs by adding a RUN apt-get clean && apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub before the first RUN (this will break again once the PKIs loaded by it expire)
The text was updated successfully, but these errors were encountered:
The base image of
pytorch/pytorch:1.4-cuda10.1-cudnn7-devel
is ~2 years old and it appears that the nvidia apt repository leveraged by it has had its pkis revoked or they have expired, resulting in the inability to build this image (see attached docker build log) .This can be fixed in a number of ways
pytorch/pytorch
for the base image (big change)RUN sed -i 's|^deb|#deb|' /etc/apt/sources.list.d/cuda.list
before the first RUN (least invasive since packages from this repo do not seem to be deployed in the Dockerfile)RUN apt-get clean && apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
before the first RUN (this will break again once the PKIs loaded by it expire)The text was updated successfully, but these errors were encountered: