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Commit c42a96f3 authored by Augustin Zidek's avatar Augustin Zidek
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Mention the workaround for the Nvidia public key issue in the README. 

PiperOrigin-RevId: 449223429
Change-Id: Iaa59e839fe3822cc319a2ae5600ed36ee4d6777c
parent ed0886cb
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README.md
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...@@ -243,6 +243,16 @@ with 12 vCPUs, 85 GB of RAM, a 100 GB boot disk, the databases on an additional ...@@ -243,6 +243,16 @@ with 12 vCPUs, 85 GB of RAM, a 100 GB boot disk, the databases on an additional
docker build -f docker/Dockerfile -t alphafold . docker build -f docker/Dockerfile -t alphafold .
``` ```
If you encounter the following error:
```
W: GPG error: https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 InRelease: The following signatures couldn't be verified because the public key is not available: NO_PUBKEY A4B469963BF863CC
E: The repository 'https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 InRelease' is not signed.
```
use the workaround described in
https://github.com/deepmind/alphafold/issues/463#issuecomment-1124881779.
1. Install the `run_docker.py` dependencies. Note: You may optionally wish to 1. Install the `run_docker.py` dependencies. Note: You may optionally wish to
create a create a
[Python Virtual Environment](https://docs.python.org/3/tutorial/venv.html) [Python Virtual Environment](https://docs.python.org/3/tutorial/venv.html)
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