Vulkan does not detect GPU when running Unity build in Docker container - docker

Question

Running Unity builds on my PC usually works fine.
However when I am trying to run Unity builds within a Docker container I get a segmentation error Segmentation fault (core dumped). I am using Ubuntu 20.04 with an Nvidia GTX1080 and installed all required dependencies like the Nvidia Docker toolkit.
Looking at the logs generated by Unity, it seems that my Nvidia GPU is not detected by Vulkan.
[Vulkan init] SelectPhysicalDevice requestedDeviceIndex=-1 xrDevice=(nil)
[Vulkan init] Physical Device 0xfe9930 [0]: "llvmpipe (LLVM 12.0.0, 256 bits)" deviceType=4 vendorID=10005 deviceID=0
[Vulkan init] Selected physical device (nil)
Caught fatal signal - signo:11 code:1 errno:0 addr:(nil)
By looking at the output of vulkan-info only llvmpipe is detected as physical device.
GPU0:
VkPhysicalDeviceProperties:
---------------------------
apiVersion = 4198582 (1.1.182)
driverVersion = 1 (0x0001)
vendorID = 0x10005
deviceID = 0x0000
deviceType = PHYSICAL_DEVICE_TYPE_CPU
deviceName = llvmpipe (LLVM 12.0.0, 256 bits)
In my Dockerfile I set following Nvidia settings
ENV NVIDIA_VISIBLE_DEVICES all
ENV NVIDIA_DRIVER_CAPABILITIES all
and used --gpus='all,"capabilities=compute,utility,graphics,display"' -e DISPLAY when starting the container.
Also running nvidia-smi within the container works.
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 450.203.03 Driver Version: 450.203.03 CUDA Version: 11.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 GeForce GTX 108... Off | 00000000:15:00.0 On | N/A |
| 12% 28C P8 18W / 250W | 644MiB / 11170MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+
Any ideas on resolving this problem? Thanks!

Answer 1

I don't know what the problem was, but i found a workaround.
Instead of using ubuntu:20.04 as base image I am using unityci/editor:ubuntu-2022.1.20f1-base-1 in my Dockerfile now.
I am using following settings in a docker compose file to start the container:
unity:
build:
dockerfile: unity.Dockerfile
volumes:
- /tmp/.X11-unix:/tmp/.X11-unix
- ${XAUTHORITY}:${XAUTHORITY}
- $XDG_RUNTIME_DIR:$XDG_RUNTIME_DIR
environment:
- XAUTHORITY
- DISPLAY
- XDG_RUNTIME_DIR
- NVIDIA_VISIBLE_DEVICES=all
- NVIDIA_DRIVER_CAPABILITIES=all
deploy:
resources:
reservations:
devices:
- capabilities: [gpu]