Thanks for the steps. I can’t reproduce it though. Docker works for me following your steps.
What’s your GPU? Do you have more than one? It seems your GPU doesn’t appear in WSL2. Can you post the output of these?
cmd.exe /c ver (just the version build) ll /usr/lib/wsl/lib/ mount | grep lib lspci | grep 3D
This is how it looks:
docker run --gpus all nvcr.io/nvidia/k8s/cuda-sample:nbody nbody -gpu -benchmark
Run "nbody -benchmark [-numbodies=<numBodies>]" to measure performance.
-fullscreen (run n-body simulation in fullscreen mode)
-fp64 (use double precision floating point values for simulation)
-hostmem (stores simulation data in host memory)
-benchmark (run benchmark to measure performance)
-numbodies=<N> (number of bodies (>= 1) to run in simulation)
-device=<d> (where d=0,1,2.... for the CUDA device to use)
-numdevices=<i> (where i=(number of CUDA devices > 0) to use for simulation)
-compare (compares simulation results running once on the default GPU and once on the CPU)
-cpu (run n-body simulation on the CPU)
-tipsy=<file.bin> (load a tipsy model file for simulation)
NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.
> Windowed mode
> Simulation data stored in video memory
> Single precision floating point simulation
> 1 Devices used for simulation
GPU Device 0: "GeForce GT 710" with compute capability 3.5
> Compute 3.5 CUDA device: [GeForce GT 710]
1024 bodies, total time for 10 iterations: 1.331 ms
= 7.876 billion interactions per second
= 157.520 single-precision GFLOP/s at 20 flops per interaction
Thanks for running! Mine is RTX2080ti (device 0) and GT1030 (device 1).
The outcome look like this:
$ cmd.exe /c ver
'\\wsl$\Ubuntu-18.04\home\zw'
CMD.EXE was started with the above path as the current directory.
UNC paths are not supported. Defaulting to Windows directory.
$ ll /usr/lib/wsl/lib/
ls: cannot access '/usr/lib/wsl/lib/': No such file or directory
$ mount | grep lib
/dev/sdb on /var/lib/docker type ext4 (rw,relatime,discard,errors=remount-ro,data=ordered)
$ lspci | grep 3D
(nothing returns)
Yep, definitely none of your GPUs appear in WSL2. What’s your windows build? (winver.exe)
I know SLI needs to be disabled in order for CUDA to work in WSL2. But dunno what to do with 2 GPUS.
You could try something like this and assign one GPU for Ubuntu1804.exe?
I set GT1030 as my display card (connected to monitor) and 2080ti as computation card (just attached to PCIe slot).
I tried to assign GPU to both ubuntu and wsl, but it only allows for gt1030 while both of my cards are recognized. But even after I chose gt1030, it still gave me the error:
$ ll /usr/lib/wsl/lib/
ls: cannot access '/usr/lib/wsl/lib/': No such file or directory
That means you have installed the Nvidia driver inside WSL2.
For a working CUDA in WSL2 you need to uninstall it with sudo apt remove nvidia-driver-450
As our user guide denotes there should be no nvidia-smi packaged inside the WSL2 Linux. If you have /usr/bin/nvidia-smi, then that indicates you have an incorrect installation. nvidia --smi is an incorrect command but as mentioned if you did nvidia-smi from inside WSL2 that must also say “nvidia-smi: command not found”
