Improve documentation for Intel and AMD installations

This commit is contained in:
Josh.5
2024-05-08 17:22:57 +12:00
parent 28c19ed1b2
commit 47f6f7a176
6 changed files with 230 additions and 25 deletions

View File

@@ -38,8 +38,40 @@ sudo chown -R $(id -u):$(id -g) /mnt/games
Create a Steam Headless `/opt/container-services/steam-headless/docker-compose.yml` file.
Populate this file with the contents of the default [Docker Compose File](./compose-files/docker-compose.default.yml).
Populate this file with the contents of the default Docker Compose File
### AMD/Intel:
- [AMD and Intel GPUs](./compose-files/docker-compose.amd+intel.yml).
- [Privileged AMD and Intel GPUs Docker Compose Template](./compose-files/docker-compose.amd+intel.privileged.yml) (grants full access to host devices).
#### Multipl AMD or Intel GPUs
If you have multiple AMD or Intel GPUs and you wish to isolate them, then follow these steps to determine the card to passthrough in the docker compose file. This requires that you do not use the privileged compose template.
1) List the PCI devices and get their IDs `lspci | grep -E 'VGA|3D'`
```
00:02.0 VGA compatible controller: Intel Corporation TigerLake-LP GT2 [Iris Xe Graphics] (rev 01)
06:00.0 VGA compatible controller: Advanced Micro Devices, Inc. [AMD/ATI] Cezanne [Radeon Vega Series / Radeon Vega Mobile Series] (rev c6)
```
In this example, the Intel GPU has an ID of `00:02.0` and the AMD GPU has an ID of `06:00.0`.
2) Discover which `/dev/dri/card*` and `/dev/dri/renderD12*` references the `00:02.0` Intel GPU (or whatever your output was). To do this, run the commands `ls -la /sys/class/drm/card*` and `ls -l /sys/class/drm/renderD*`.
```
lrwxrwxrwx. 1 root root 0 May 8 15:44 /sys/class/drm/card1 -> ../../devices/pci0000:00/0000:00:02.0/drm/card1
lrwxrwxrwx. 1 root root 0 May 8 15:44 /sys/class/drm/card1-DP-1 -> ../../devices/pci0000:00/0000:00:02.0/drm/card1/card1-DP-1
lrwxrwxrwx. 1 root root 0 May 8 15:44 /sys/class/drm/card1-DP-2 -> ../../devices/pci0000:00/0000:00:02.0/drm/card1/card1-DP-2
lrwxrwxrwx. 1 root root 0 May 8 15:44 /sys/class/drm/card1-DP-3 -> ../../devices/pci0000:00/0000:00:02.0/drm/card1/card1-DP-3
lrwxrwxrwx. 1 root root 0 May 8 15:44 /sys/class/drm/card1-DP-4 -> ../../devices/pci0000:00/0000:00:02.0/drm/card1/card1-DP-4
```
```
lrwxrwxrwx. 1 root root 0 May 8 15:44 /sys/class/drm/renderD128 -> ../../devices/pci0000:00/0000:00:02.0/drm/renderD128
lrwxrwxrwx. 1 root root 0 May 8 15:44 /sys/class/drm/renderD129 -> ../../devices/pci0000:00/0000:06:00.0/drm/renderD129
```
From this example output we can see that the Intel GPU is `/dev/dri/card1` and `/dev/dri/renderD128`.
### NVIDIA:
- [NVIDIA GPUs Docker Compose Template](./compose-files/docker-compose.nvidia.yml).
- [Privileged NVIDIA GPUs Docker Compose Template](./compose-files/docker-compose.nvidia.yml) (grants full access to host devices).
## CONFIGURE ENV:
@@ -58,3 +90,6 @@ sudo docker-compose up -d --force-recreate
After container executes successfully, navigate to your docker host URL in your browser on port 8083 and click connect.
`http://<host-ip>:8083/`
![img.png](./images/web_connect.png)
## Troubleshooting
[Troubleshooting Docs](./troubleshooting.md)