Isaac Gym on Windows Subsystem for Linux (WSL)

Autonomous Machines Robotics - Isaac Isaac Gym
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I’m wondering if it’s possible to install Isaac Gym on Windows Subsystem for Linux (WSL2)?

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As far as I know, Isaac Gym isn’t supported for WSL. I tried (1) integrating with WSL and (2) running Ubuntu in Virtual Box and neither of these worked. I ended up creating a dual boot with Windows on one partition and Ubuntu on another and managed to get it to work.

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isaacgym docker can run on WSL2

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Hi, I’m a bit confused.
Do you mean running a docker inside the WSL2 (win → wsl2 → docker → isaacgym)? or running a ubuntu docker inside the windows (win → docker → isaacgym)?

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Hi, I mean win → wsl2 → docker → isaacgym

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Hi, Can I run using anaconda inside the wsl2 too with this method? (with nvidia docker)

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Sorry, I’m not sure, you can have a try : )

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Have you experienced with any trouble when using wsl2? I followed the instructions here NVIDIA GPU Accelerated Computing on WSL 2 and here GPU accelerated ML training in WSL | Microsoft Learn
The example script joint_monkey.py still failed to keep running with the same problem here Unhandled descriptor set followed by segmentation fault.
When starting the container, it reported WARNING: The NVIDIA Driver was not detected even if I run the run.sh script with nvidia-docker instead of docker
I run vulkaninfo in the wsl2 (not the docker container), it shows WARNING: lavapipe is not a conformant vulkan implementation, testing use only., which means wsl2 does not access GPU appropriately.
Also, I run modprobe nvidia. It cannot find module nvidia.

great thanks

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Hi, I wonder if there is a docker image of isaacgym on docker hub? I followed the installation steps in WSL2 but it all ended with *** Warning: failed to preload CUDA lib. I saw the same problem in Wsl2 and Isaac Gym problem, but still not solved.

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No,if you using an anaconda envirment in WSL2 your cudatoolkit may not able to find GPU device.

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Guys! forget this WSL, move to Omni Isaac Sim, i’m suing it on Windows, you can use gym, URDF importer, everything! really amazing!

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