This document is relevant for: Inf1, Inf2, Trn1, Trn1n
Neuron Setup Troubleshooting#
How to update Neuron repository GNU Privacy Guard (GPG) key for Ubuntu installation#
Description#
The GPG key for the Neuron repository (https://apt.repos.neuron.amazonaws.com/GPG-PUB-KEY-AMAZON-AWS-NEURON.PUB) is installed on the Ubuntu (Canonical) server, the key was uploaded originally with an expiry date of three (3) years, which has expired on 11/10/22.
Any customer of Ubuntu or Debian using Neuron apt repository will get the following error:
While running an apt-get update command on an AWS deep learning image (us-east-1/ami-01fce297f68912e45) I get this output:
Err:6 https://apt.repos.neuron.amazonaws.com (https://apt.repos.neuron.amazonaws.com/) bionic InRelease
The following signatures were invalid: EXPKEYSIG 5749CAD8646D9185 Amazon AWS Neuron <neuron-maintainers@amazon.com>
Fetched 172 kB in 1s (161 kB/s)
Reading package lists... Done
W: An error occurred during the signature verification. The repository is not updated and the previous index files will be used. GPG error:https://apt.repos.neuron.amazonaws.com (https://apt.repos.neuron.amazonaws.com/) bionic InRelease: The following signatures were invalid: EXPKEYSIG 5749CAD8646D9185 Amazon AWS Neuron <neuron-maintainers@amazon.com>
Solution#
To solve this issue, you need to run the following commands to fetch the new key before running apt-get update
wget -qO - https://apt.repos.neuron.amazonaws.com/GPG-PUB-KEY-AMAZON-AWS-NEURON.PUB | sudo apt-key add -
# Update OS packages
sudo apt-get update -y
pip install --upgrade wouldn’t upgrade neuron-cc#
Description#
When trying to upgrade to a newer Neuron release, for example by calling:
pip install --upgrade torch-neuron neuron-cc[tensorflow] torchvision
neuron-cc is not upgraded.
This can be a result of a bug in certain pip versions, for example pip install upgrade will not upgrade package if extras_require specified
Solution#
To solve this issue you can either upgrade to a newer pip version or use --force when trying to upgrade, for example:
pip install --force torch-neuron neuron-cc[tensorflow] torchvision
This document is relevant for: Inf1, Inf2, Trn1, Trn1n