Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/vowstar/vowstar-overlay
Ebuilds from vowstar's git
https://github.com/vowstar/vowstar-overlay
Last synced: 21 days ago
JSON representation
Ebuilds from vowstar's git
- Host: GitHub
- URL: https://github.com/vowstar/vowstar-overlay
- Owner: vowstar
- Created: 2019-10-23T09:32:20.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2024-04-22T12:40:20.000Z (7 months ago)
- Last Synced: 2024-04-22T13:08:19.010Z (7 months ago)
- Language: Shell
- Size: 2.9 MB
- Stars: 19
- Watchers: 5
- Forks: 5
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: licenses/ALWIL-EULA
Awesome Lists containing this project
README
# The vowstar-overlay
Shared ebuild files.
## How to add using eselect/repository
[https://wiki.gentoo.org/wiki/Eselect/Repository](https://wiki.gentoo.org/wiki/Eselect/Repository)
```bash
# install app-eselect/eselect-repository
emerge --ask app-eselect/eselect-repository
mkdir -p /etc/portage/repos.conf
# enable vowstar overlay
eselect repository enable vowstar
# sync vowstar overlay
emaint sync -r vowstar
```## How to use nvidia-docker2 under gentoo
I fixed the nvidia-container-toolkit (aka. nvidia-docker2 ) issue under gentoo and got this working.
Due to historical reasons, the software supported by nvidia's docker has gone through a very messy period. About The difference between libnvidia-container, nvidia-docker2, nvidia-container-runtime, nvidia-container-toolkit, [here is a good introduction](https://github.com/NVIDIA/nvidia-docker/issues/1268).
Here only introduces how to use the new method in the Docker version after 19.03:
```bash
docker run --gpus all nvidia/cuda:10.0-base nvidia-smi
```### cgroup v2
By default ``libnvidia-container`` and ``nvidia-container-toolkit`` equal or above version ``1.8.0`` support cgroup v2.
Systemd v247.2-2 introduced cgroup v2 which broken nvidia-container's access to ``/sys/fs/cgroup/devices``.
To solve this problem, you should upgrade both ``libnvidia-container`` and ``nvidia-container-toolkit`` equal or above
version ``1.8.0`` to support cgroup v2.If you don't want use the cgroup v2, you should add kernel parameter ``systemd.unified_cgroup_hierarchy=false``.
If you don't want use the cgroup at all, you should change ``/etc/nvidia-container-runtime/config.toml`` with ``no-cgroups = true`` and need to run docker explicitly allow access to the nvidia devices, like:
```bash
docker run ... --gpus all \
--device /dev/nvidia0 \
--device /dev/nvidiactl \
--device /dev/nvidia-modeset \
--device /dev/nvidia-uvm \
--device /dev/nvidia-uvm-tools
```### OpenRC
```bash
sudo layman --add=vowstar
sudo emerge -av nvidia-container-toolkit
sudo rc-service docker restart
docker run --gpus all nvidia/cuda:10.0-base nvidia-smi
```### systemd
```bash
sudo layman --add=vowstar
sudo emerge -av nvidia-container-toolkit
sudo systemctl restart docker
docker run --gpus all nvidia/cuda:10.0-base nvidia-smi
```### Result
```text
$ docker run --gpus all nvidia/cuda:10.0-base nvidia-smi
Fri Jun 12 17:23:54 2020
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 440.82 Driver Version: 440.82 CUDA Version: 10.2 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce RTX 208... Off | 00000000:0A:00.0 On | N/A |
| 0% 51C P0 62W / 300W | 1413MiB / 11016MiB | 8% Default |
+-------------------------------+----------------------+----------------------++-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+$ uname -a
Linux ryzen 5.6.17-gentoo #1 SMP PREEMPT Mon Jun 8 11:35:26 CST 2020 x86_64 AMD Ryzen 9 3900X 12-Core Processor AuthenticAMD GNU/Linux
```## The octave-forge packages
It is generated from [https://github.com/vowstar/octave-gentoo-package](https://github.com/vowstar/octave-gentoo-package)
After install, please append ``pkg load `` to ``~/.octaverc``