No nvidia gpu, docker: Error response from daemon: failed to create shim task: OCI runtime create failed

[Godeta]

1. Issue or feature description

I'm trying to build a container but I get the error Error response from daemon: failed to create task for container: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running hook #0: error running hook: exit status 1, stdout: , stderr: Auto-detected mode as 'legacy' nvidia-container-cli: initialization error: WSL environment detected but no adapters were found: unknown

More details of the execution :
[2023-10-10T18:21:21.939Z] Start: Run: docker events --format {{json .}} --filter event=start [2023-10-10T18:21:21.943Z] PersistedPath=/tmp/devcontainercli-godeta, ContainerHasLabels=true [2023-10-10T18:21:21.943Z] Container was created with these config files: /home/godeta/rob2023/start-creating-robots-email/.devcontainer/docker-compose.yml,/tmp/devcontainercli-godeta/docker-compose/docker-compose.devcontainer.containerFeatures-1696960110032.yml [2023-10-10T18:21:21.943Z] Expected to find a docker-compose file prefixed with docker-compose.devcontainer.build, but did not. [2023-10-10T18:21:21.944Z] Restoring /tmp/devcontainercli-godeta/docker-compose/docker-compose.devcontainer.containerFeatures-1696960110032.yml from persisted storage [2023-10-10T18:21:21.944Z] Start: Run: docker-compose --project-name start-creating-robots-email_devcontainer -f /home/godeta/rob2023/start-creating-robots-email/.devcontainer/docker-compose.yml -f /tmp/devcontainercli-godeta/docker-compose/docker-compose.devcontainer.containerFeatures-1696960110032.yml up -d --no-recreate [2023-10-10T18:21:22.239Z] [+] Building 0.0s (0/0) docker:default [2023-10-10T18:21:22.273Z] [+] Running 0/0 ⠋ Container start-creating-robots-email_devcontainer-humble-desktop-full-1 Starting0.0s [2023-10-10T18:21:22.373Z] [+] Running 0/1 ⠙ Container start-creating-robots-email_devcontainer-humble-desktop-full-1 Starting0.1s [2023-10-10T18:21:22.473Z] [+] Running 0/1 [2023-10-10T18:21:22.474Z] ⠹ Container start-creating-robots-email_devcontainer-humble-desktop-full-1 Starting0.2s [2023-10-10T18:21:22.573Z] [+] Running 0/1 ⠸ Container start-creating-robots-email_devcontainer-humble-desktop-full-1 Starting0.3s [2023-10-10T18:21:22.651Z] [+] Running 0/1 ⠼ Container start-creating-robots-email_devcontainer-humble-desktop-full-1 Starting0.4s Error response from daemon: failed to create task for container: failed to create shim task: OCI runtime create failed: runc create failed: unable to start container process: error during container init: error running hook #0: error running hook: exit status 1, stdout: , stderr: Auto-detected mode as 'legacy' nvidia-container-cli: initialization error: WSL environment detected but no adapters were found: unknown [2023-10-10T18:21:22.658Z] Stop (714 ms): Run: docker-compose --project-name start-creating-robots-email_devcontainer -f /home/godeta/rob2023/start-creating-robots-email/.devcontainer/docker-compose.yml -f /tmp/devcontainercli-godeta/docker-compose/docker-compose.devcontainer.containerFeatures-1696960110032.yml up -d --no-recreate [2023-10-10T18:21:22.662Z] Error: Command failed: docker-compose --project-name start-creating-robots-email_devcontainer -f /home/godeta/rob2023/start-creating-robots-email/.devcontainer/docker-compose.yml -f /tmp/devcontainercli-godeta/docker-compose/docker-compose.devcontainer.containerFeatures-1696960110032.yml up -d --no-recreate [2023-10-10T18:21:22.664Z] at iAA (/home/godeta/.vscode-remote-containers/dist/dev-containers-cli-0.315.1/dist/spec-node/devContainersSpecCLI.js:427:3165) [2023-10-10T18:21:22.665Z] at process.processTicksAndRejections (node:internal/process/task_queues:95:5) [2023-10-10T18:21:22.666Z] at async tAA (/home/godeta/.vscode-remote-containers/dist/dev-containers-cli-0.315.1/dist/spec-node/devContainersSpecCLI.js:409:3169) [2023-10-10T18:21:22.666Z] at async SAA (/home/godeta/.vscode-remote-containers/dist/dev-containers-cli-0.315.1/dist/spec-node/devContainersSpecCLI.js:479:3833) [2023-10-10T18:21:22.667Z] at async GC (/home/godeta/.vscode-remote-containers/dist/dev-containers-cli-0.315.1/dist/spec-node/devContainersSpecCLI.js:479:4775) [2023-10-10T18:21:22.668Z] at async ZeA (/home/godeta/.vscode-remote-containers/dist/dev-containers-cli-0.315.1/dist/spec-node/devContainersSpecCLI.js:611:12251) [2023-10-10T18:21:22.669Z] at async VeA (/home/godeta/.vscode-remote-containers/dist/dev-containers-cli-0.315.1/dist/spec-node/devContainersSpecCLI.js:611:11992) [2023-10-10T18:21:22.675Z] Stop (1966 ms): Run in Host: /home/godeta/.vscode-remote-containers/bin/abd2f3db4bdb28f9e95536dfa84d8479f1eb312d/node /home/godeta/.vscode-remote-containers/dist/dev-containers-cli-0.315.1/dist/spec-node/devContainersSpecCLI.js up --container-session-data-folder /tmp/devcontainers-9afe62a3-caf2-493c-a13c-0a5ba7df52821696962077996 --workspace-folder /home/godeta/rob2023/start-creating-robots-email --workspace-mount-consistency cached --id-label devcontainer.local_folder=\\wsl.localhost\Ubuntu-22.04\home\godeta\rob2023\start-creating-robots-email --id-label devcontainer.config_file=/home/godeta/rob2023/start-creating-robots-email/.devcontainer/devcontainer.json --log-level debug --log-format json --config /home/godeta/rob2023/start-creating-robots-email/.devcontainer/devcontainer.json --default-user-env-probe loginInteractiveShell --mount type=volume,source=vscode,target=/vscode,external=true --mount type=bind,source=/run/user/1000/wayland-0,target=/tmp/vscode-wayland-d435890b-d12d-41af-a3bb-a7fdcf2a68c3.sock --skip-post-create --update-remote-user-uid-default on --mount-workspace-git-root [2023-10-10T18:21:22.676Z] Exit code 1

• Docker works properly, I receive the message "your installation appears to be working correctly" with sudo docker run hello-world

• Some nvidia-container information: nvidia-container-cli -k -d /dev/tty info

`godeta@LAPTOP-27IDE9KB:/etc/cdi$ nvidia-container-cli -k -d /dev/tty info

I1010 18:04:36.527738 8259 nvc.c:376] initializing library context (version=1.14.2, build=1eb5a30a6ad0415550a9df632ac8832bf7e2bbba)
I1010 18:04:36.527792 8259 nvc.c:350] using root /
I1010 18:04:36.527796 8259 nvc.c:351] using ldcache /etc/ld.so.cache
I1010 18:04:36.527798 8259 nvc.c:352] using unprivileged user 1000:1000
I1010 18:04:36.527812 8259 nvc.c:393] attempting to load dxcore to see if we are running under Windows Subsystem for Linux (WSL)
I1010 18:04:36.529504 8259 dxcore.c:228] Creating a new WDDM Adapter for hAdapter:40000000 luid:220097
I1010 18:04:36.530285 8259 dxcore.c:211] Core Nvidia component libcuda.so.1.1 not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a
I1010 18:04:36.530551 8259 dxcore.c:211] Core Nvidia component libcuda_loader.so not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a
I1010 18:04:36.530792 8259 dxcore.c:211] Core Nvidia component libnvidia-ptxjitcompiler.so.1 not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a
I1010 18:04:36.531028 8259 dxcore.c:211] Core Nvidia component libnvidia-ml.so.1 not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a
I1010 18:04:36.531244 8259 dxcore.c:211] Core Nvidia component libnvidia-ml_loader.so not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a
I1010 18:04:36.531494 8259 dxcore.c:211] Core Nvidia component nvidia-smi not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a
I1010 18:04:36.531705 8259 dxcore.c:211] Core Nvidia component nvcubins.bin not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a
I1010 18:04:36.531731 8259 dxcore.c:216] No Nvidia component found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a
E1010 18:04:36.531735 8259 dxcore.c:262] Failed to query the core Nvidia libraries for the adapter. Skipping it.
I1010 18:04:36.531738 8259 dxcore.c:326] dxcore layer initialized successfully
E1010 18:04:36.532117 8259 nvc.c:398] dxcore initialization succeeded but no adapters were found
nvidia-container-cli: initialization error: WSL environment detected but no adapters were found
I1010 18:04:36.532177 8259 nvc.c:434] shutting down library context
godeta@LAPTOP-27IDE9KB:/etc/cdi$`

• This command I found on some suggestion on another post successfully created the file but didn't change anything for me : sudo nvidia-ctk cdi generate --output=/etc/cdi/nvidia.yaml

• Kernel version from uname -a
Linux LAPTOP-27IDE9KB 5.15.90.1-microsoft-standard-WSL2 #1 SMP Fri Jan 27 02:56:13 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux

• Any relevant kernel output lines from dmesg

I1010 18:04:36.527738 8259 nvc.c:376] initializing library context (version=1.14.2, build=1eb5a30a6ad0415550a9df632ac8832bf7e2bbba) I1010 18:04:36.527792 8259 nvc.c:350] using root / I1010 18:04:36.527796 8259 nvc.c:351] using ldcache /etc/ld.so.cache I1010 18:04:36.527798 8259 nvc.c:352] using unprivileged user 1000:1000 I1010 18:04:36.527812 8259 nvc.c:393] attempting to load dxcore to see if we are running under Windows Subsystem for Linux (WSL) I1010 18:04:36.529504 8259 dxcore.c:228] Creating a new WDDM Adapter for hAdapter:40000000 luid:220097 I1010 18:04:36.530285 8259 dxcore.c:211] Core Nvidia component libcuda.so.1.1 not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a I1010 18:04:36.530551 8259 dxcore.c:211] Core Nvidia component libcuda_loader.so not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a I1010 18:04:36.530792 8259 dxcore.c:211] Core Nvidia component libnvidia-ptxjitcompiler.so.1 not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a I1010 18:04:36.531028 8259 dxcore.c:211] Core Nvidia component libnvidia-ml.so.1 not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a I1010 18:04:36.531244 8259 dxcore.c:211] Core Nvidia component libnvidia-ml_loader.so not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a I1010 18:04:36.531494 8259 dxcore.c:211] Core Nvidia component nvidia-smi not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a I1010 18:04:36.531705 8259 dxcore.c:211] Core Nvidia component nvcubins.bin not found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a I1010 18:04:36.531731 8259 dxcore.c:216] No Nvidia component found in /usr/lib/wsl/drivers/u0377383.inf_amd64_30501df11e64fe9a E1010 18:04:36.531735 8259 dxcore.c:262] Failed to query the core Nvidia libraries for the adapter. Skipping it. I1010 18:04:36.531738 8259 dxcore.c:326] dxcore layer initialized successfully E1010 18:04:36.532117 8259 nvc.c:398] dxcore initialization succeeded but no adapters were found nvidia-container-cli: initialization error: WSL environment detected but no adapters were found I1010 18:04:36.532177 8259 nvc.c:434] shutting down library context Linux LAPTOP-27IDE9KB 5.15.90.1-microsoft-standard-WSL2 #1 SMP Fri Jan 27 02:56:13 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux godeta@LAPTOP-27IDE9KB:/etc/cdi$ dmesg [ 0.000000] Linux version 5.15.90.1-microsoft-standard-WSL2 (oe-user@oe-host) (x86_64-msft-linux-gcc (GCC) 9.3.0, GNU ld (GNU Binutils) 2.34.0.20200220) #1 SMP Fri Jan 27 02:56:13 UTC 2023 [ 0.000000] Command line: initrd=\initrd.img WSL_ROOT_INIT=1 panic=-1 nr_cpus=8 bonding.max_bonds=0 dummy.numdummies=0 fb_tunnels=none swiotlb=force console=hvc0 debug pty.legacy_count=0

• Driver information from nvidia-smi -a but nvidia-smi doesn't work :
  godeta@LAPTOP-27IDE9KB:/etc/cdi$ nvidia-smi NVIDIA-SMI has failed because it couldn't communicate with the NVIDIA driver. Make sure that the latest NVIDIA driver is installed and running.

• Docker version from docker version

`godeta@LAPTOP-27IDE9KB:/etc/cdi$ docker version
Client: Docker Engine - Community
Cloud integration: v1.0.35+desktop.5
Version: 24.0.6
API version: 1.43
Go version: go1.20.7
Git commit: ed223bc
Built: Mon Sep 4 12:32:16 2023
OS/Arch: linux/amd64
Context: default

Server: Docker Desktop
Engine:
Version: 24.0.6
API version: 1.43 (minimum version 1.12)
Go version: go1.20.7
Git commit: 1a79695
Built: Mon Sep 4 12:32:16 2023
OS/Arch: linux/amd64
Experimental: false
containerd:
Version: 1.6.22
GitCommit: 8165feabfdfe38c65b599c4993d227328c231fca
runc:
Version: 1.1.8
GitCommit: v1.1.8-0-g82f18fe
docker-init:
Version: 0.19.0
GitCommit: de40ad0`

• NVIDIA container library version from nvidia-container-cli -V

godeta@LAPTOP-27IDE9KB:/etc/cdi$ nvidia-container-cli -V cli-version: 1.14.2 lib-version: 1.14.2 build date: 2023-09-25T10:10+00:00 build revision: 1eb5a30a6ad0415550a9df632ac8832bf7e2bbba build compiler: x86_64-linux-gnu-gcc-7 7.5.0 build platform: x86_64 build flags: -D_GNU_SOURCE -D_FORTIFY_SOURCE=2 -DNDEBUG -std=gnu11 -O2 -g -fdata-sections -ffunction-sections -fplan9-extensions -fstack-protector -fno-strict-aliasing -fvisibility=hidden -Wall -Wextra -Wcast-align -Wpointer-arith -Wmissing-prototypes -Wnonnull -Wwrite-strings -Wlogical-op -Wformat=2 -Wmissing-format-attribute -Winit-self -Wshadow -Wstrict-prototypes -Wunreachable-code -Wconversion -Wsign-conversion -Wno-unknown-warning-option -Wno-format-extra-args -Wno-gnu-alignof-expression -Wl,-zrelro -Wl,-znow -Wl,-zdefs -Wl,--gc-sections

2. Steps to reproduce the issue

Using a computer without nvidia gpu for example "dxdiag" shows :

Using docker, wsl2, ubuntu 22 downloaded from microsoft store, vs code and the docker container from : https://github.com/johnny555/start-creating-robots-email

Opening the folder start-creating-robots-email from ubuntu22 in vs code and then "Open Folder In Dev Container".

3. Additionnal

I have seen the issue #1648 but couldn't resolve my problem as my situation is different (I don't have an nvidia gpu at all). I have also tried a lot of different things looking at similar issues on internet but as my understanding is limited I find myself struck.
Thank you for reading me, I apologize for my poor english and lack of knowledge I don't know much about docker and linux.

[Godeta]

Thanks to the help of John Vial the author of the github repo that I was trying to run I finally managed to solve my problem.
The solution : modifying the docker-compose.yml file to get rid of the nvidia devices settings

version: '3'
services:
 humble-desktop-full:
   image: johnny555/stc:v1
   user: ros
   volumes:
     - ../:/workspace:cached
     - /tmp/.X11-unix:/tmp/.X11-unix
     - /mnt/wslg:/mnt/wslg
     - /usr/lib/wsl:/usr/lib/wsl

   devices:
     - /dev/dxg:/dev/dxg

   deploy:
     resources:
       reservations:
         devices:
           - driver: nvidia
             count: 1
             capabilities: [ gpu ]

   environment:
     - DISPLAY=:0
     - WAYLAND_DISPLAY
     - XDG_RUNTIME_DIR
     - PULSE_SERVER

   command: /bin/sh -c "while sleep 1000; do :; done" 

deleting lines 12 to 21 (the devices and deploy parts) does the trick for me.

I apologize If I misplaced this github issue It's the first time I write one.