signature=1a23d2a8b23c6ff995657820b342abc3,The following signatures were invalid: BADSIG F60F4B3D7FA...-优快云博客

这篇博客讲述了用户在尝试构建NVIDIA CUDA 10.2开发镜像时遇到的GPG签名验证失败问题，详细记录了错误信息、排查步骤，并提供可能的解决办法，适合遇到类似问题的技术人员参考。

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The template below is mostly useful for bug reports and support questions. Feel free to remove anything which doesn't apply to you and add more information where it makes sense.

Also, before reporting a new issue, please make sure that:

You searched for a similar issue and this is not a duplicate of an existing one.

This issue is not related to NGC, otherwise, please use the devtalk forums instead.

You went through the troubleshooting steps.

1. Issue or feature description

I am getting the below error when I try to build the docker image of nvidia/cuda:10.2-cudnn7-devel-ubuntu18.04

Tried few solutions available online but was not effective. I was getting frequently the below error

W: GPG error: https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 Release: The following signatures were invalid: BADSIG F60F4B3D7FA2AF80 cudatools cudatools@nvidia.com

E: The repository 'https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 Release' is not signed

2. Steps to reproduce the issue

3. Information to attach (optional if deemed irrelevant)

Some nvidia-container information: nvidia-container-cli -k -d /dev/tty info

Kernel version from uname -a

Linux Gaming-3 5.4.0-48-generic #52~18.04.1-Ubuntu SMP Thu Sep 10 12:50:22 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux

Any relevant kernel output lines from dmesg

Driver information from nvidia-smi -a

NVIDIA-SMI 440.100 Driver Version: 440.100 CUDA Version: 10.2

Docker version from docker version

Docker version 19.03.12, build 48a66213fe

NVIDIA packages version from dpkg -l '*nvidia*' or rpm -qa '*nvidia*'