Comments (8)
gluckzhang
commented on July 21, 2024
22
Hi @huan , great to meet you here! Long time no see :)
I had the same issue as you mentioned. My solution is:
- Install The NVIDIA Container Toolkit
# Setup the stable repository and the GPG key
distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \
&& curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \
&& curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list
# Install the nvidia-docker2
sudo apt-get update
sudo apt-get install -y nvidia-docker2
# Restart the docker service
sudo systemctl restart dockerThis can save us some time in tuning the extra arguments when executing docker run. To test whether the installation works, one can run: sudo docker run --rm --gpus all nvidia/cuda:11.0-base nvidia-smi, which should output some information about the Nvidia card.
- Add
--gpus=all --env="NVIDIA_DRIVER_CAPABILITIES=all"into thedocker runcommand. This should make the GPU work in a container.
Hopefully it helps. Cheers!
Ref:
[1] https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#setting-up-nvidia-container-toolkit
[2] https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/user-guide.html#driver-capabilities
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ST-Saint
commented on July 21, 2024
1
sudo docker run --rm --gpus all nvidia/cuda:11.0-base nvidia-smi output the correct GPU
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 515.48.07 Driver Version: 515.48.07 CUDA Version: 11.7 |
|-------------------------------+----------------------+----------------------+
| 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 NVIDIA GeForce ... Off | 00000000:2B:00.0 On | N/A |
| 0% 39C P8 13W / 170W | 409MiB / 12288MiB | 5% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
+-----------------------------------------------------------------------------+
but still run into error
+ main
++ id -u
+ '[' 1000 -ne 0 ']'
+ startWechat
+ hello
++ cat /VERSION
+ VERSION=0.15.0
+ echo '[DoChat] 盒装微信 v0.15.0'
[DoChat] 盒装微信 v0.15.0
+ setupFontDpi
+ DELETE_KEYS=('HKEY_CURRENT_USER\Control Panel\Desktop' 'HKEY_CURRENT_USER\Software\Wine\Fonts')
+ for key in "${DELETE_KEYS[@]}"
+ wine reg DELETE 'HKEY_CURRENT_USER\Control Panel\Desktop' /v LogPixels /f
+ true
+ for key in "${DELETE_KEYS[@]}"
+ wine reg DELETE 'HKEY_CURRENT_USER\Software\Wine\Fonts' /v LogPixels /f
+ wine reg ADD 'HKEY_LOCAL_MACHINE\System\CurrentControlSet\Hardware Profiles\Current\Software\Fonts' /v LogPixels /t REG_DWORD /d 120 /f
+ /dochat/patch-hosts.sh
+ /dochat/disable-upgrade.sh
Disabling patch for /home/user/.wine/drive_c/users/user/AppData/Roaming/Tencent/WeChat ...
Disabling patch for /home/user/.wine/drive_c/users/user/Application Data/Tencent/WeChat ...
+ '[' -n true ']'
+ unset WINEDEBUG
+ wine reg query 'HKEY_CURRENT_USER\Software\Tencent\WeChat'
HKEY_CURRENT_USER\Software\Tencent\WeChat
NeedUpdateType REG_DWORD 0x0
[DoChat] DISPLAY=:0
+ echo '[DoChat] DISPLAY=:0'
++ head -1 /home/VERSION.WeChat
+ VERSION=3.3.0.115
+ echo '[DoChat] WeChat 3.3.0.115'
+ true
[DoChat] WeChat 3.3.0.115
[DoChat] Starting...
+ echo '[DoChat] Starting...'
+ '[' -n true ']'
+ wine 'C:\Program Files\Tencent\WeChat\WeChat.exe'
00e4:fixme:ver:GetCurrentPackageId (04BCFEF0 00000000): stub
00e4:fixme:sync:SetWaitableTimerEx (000000C4, 04BCFDA0, 0, 00000000, 00000000, 00000000, 1500) semi-stub
0114:fixme:iphlpapi:NotifyAddrChange (Handle 0x62efefc, overlapped 0x62efee4): stub
00e0:fixme:win:RegisterTouchWindow (00010056 00000000): stub
011c:fixme:ole:NdrCorrelationInitialize (0694F154, 0694EC30, 1024, 0x0): semi-stub
011c:fixme:ole:NdrCorrelationFree (0694F154): stub
011c:fixme:reg:RegOpenUserClassesRoot (0000019C, 0x0, 0x2000000, 0694FBC8) semi-stub
0118:fixme:wlanapi:WlanEnumInterfaces (00000001, 00000000, 063FE380) semi-stub
011c:fixme:wbemprox:client_security_SetBlanket 62EA17A8, 04A0B060, 10, 0, (null), 3, 3, 00000000, 0x00000000
011c:fixme:wbemprox:client_security_Release 62EA17A8
011c:fixme:wbemprox:client_security_SetBlanket 62EA17A8, 064465E8, 10, 0, (null), 3, 3, 00000000, 0x00000000
011c:fixme:wbemprox:client_security_Release 62EA17A8
011c:fixme:wbemprox:client_security_SetBlanket 62EA17A8, 04A0B060, 10, 0, (null), 3, 3, 00000000, 0x00000000
011c:fixme:wbemprox:client_security_Release 62EA17A8
011c:fixme:wbemprox:client_security_SetBlanket 62EA17A8, 04A0B060, 10, 0, (null), 3, 3, 00000000, 0x00000000
011c:fixme:wbemprox:client_security_Release 62EA17A8
011c:fixme:wbemprox:client_security_SetBlanket 62EA17A8, 06420D30, 10, 0, (null), 3, 3, 00000000, 0x00000000
011c:fixme:wbemprox:client_security_Release 62EA17A8
011c:fixme:wbemprox:client_security_SetBlanket 62EA17A8, 04AC4A00, 10, 0, (null), 3, 3, 00000000, 0x00000000
011c:fixme:wbemprox:client_security_Release 62EA17A8
011c:fixme:ntdll:NtQuerySystemInformation info_class SYSTEM_PERFORMANCE_INFORMATION
011c:fixme:wbemprox:client_security_SetBlanket 62EA17A8, 04A0B060, 10, 0, (null), 3, 3, 00000000, 0x00000000
011c:fixme:wbemprox:client_security_Release 62EA17A8
0124:fixme:file:NtLockFile I/O completion on lock not implemented yet
libGL error: No matching fbConfigs or visuals found
libGL error: failed to load driver: swrast
X Error of failed request: GLXBadContext
Major opcode of failed request: 151 (GLX)
Minor opcode of failed request: 6 (X_GLXIsDirect)
Serial number of failed request: 285
Current serial number in output stream: 284
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huan
commented on July 21, 2024
Thank you very much for proposing a solution!
I'll try it out when I got time, appreciate it.
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Earsuit
commented on July 21, 2024
This works for me, thanks!
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jicki
commented on July 21, 2024
Hi @huan , great to meet you here! Long time no see :)
I had the same issue as you mentioned. My solution is:
- Install The NVIDIA Container Toolkit
# Setup the stable repository and the GPG key distribution=$(. /etc/os-release;echo $ID$VERSION_ID) \ && curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | sudo apt-key add - \ && curl -s -L https://nvidia.github.io/nvidia-docker/$distribution/nvidia-docker.list | sudo tee /etc/apt/sources.list.d/nvidia-docker.list # Install the nvidia-docker2 sudo apt-get update sudo apt-get install -y nvidia-docker2 # Restart the docker service sudo systemctl restart dockerThis can save us some time in tuning the extra arguments when executing
docker run. To test whether the installation works, one can run:sudo docker run --rm --gpus all nvidia/cuda:11.0-base nvidia-smi, which should output some information about the Nvidia card.
- Add
--gpus=all --env="NVIDIA_DRIVER_CAPABILITIES=all"into thedocker runcommand. This should make the GPU work in a container.Hopefully it helps. Cheers!
Ref: [1] https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#setting-up-nvidia-container-toolkit [2] https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/user-guide.html#driver-capabilities
Good Job ..
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HRHLALALA
commented on July 21, 2024
@gluckzhang Hi, thanks for your answer but I got the error as following:
docker: Error response from daemon: failed to create shim: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running hook #1: error running hook: exit status 1, stdout: , stderr: nvidia-container-cli: mount error: file creation failed: /var/lib/docker/overlay2/fb8685393211dac3ac80c458ef659f22c16012bd3d7803aa143e6209f40d09b1/merged/run/nvidia-persistenced/socket: no such device or address: unknown.
Do you know how to solve it?
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gluckzhang
commented on July 21, 2024
Hi @HRHLALALA , I just read your message. It seems that the toolkit failed to mount the NVIDIA-related files/devices.
Have you tried sudo docker run --rm --gpus all nvidia/cuda:11.0-base nvidia-smi after installing the NVIDIA Container Toolkit? Any error there?
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hykilpikonna
commented on July 21, 2024
Docker compose version:
wechat:
container_name: wechat
image: zixia/wechat
privileged: true
stdin_open: true
ipc: host
environment:
- XMODIFIERS=@im=fcitx
- GTK_IM_MODULE=fcitx
- QT_IM_MODULE=fcitx
- GID=1000
- UID=1000
- DISPLAY
- NVIDIA_DRIVER_CAPABILITIES=all
volumes:
- "./wechat/appdata:/home/user/.wine/drive_c/users/user/Application Data/"
- "./wechat/files:/home/user/WeChat Files/"
- "/tmp/.X11-unix:/tmp/.X11-unix"
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [gpu]from docker-wechat.
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