Windows#

To install LabGym on Windows, you will need to access the terminal. To do this, open the start menu by clicking the Win key, type “PowerShell”, and hit enter. All terminal commands going forward should be entered in this terminal.

Install Python 3.10.

Scroll down to the bottom and click the Windows installer (64-bit) option. Run the installer and select “Add python to path” and “Disable long path limit”.

To test your Python installation, run the following command. If the version number prints out successfully, your Python installation is working.
```
py -3.10 --version
```
If you’re using an NVIDIA GPU, install CUDA Toolkit 11.8 and cuDNN.

First, install and/or update your GPU drivers at this link. Select your GPU model and click “Search”, then click “Download”. After installing the drivers, reboot your system to ensure they take effect.

Then, install CUDA Toolkit 11.8. Select your version of Windows, select “exe (local),” then click “Download.”

To verify your installation of CUDA, use the following command.
```
set CUDA_HOME=%CUDA_HOME_V11_8%
```
```
nvcc --version
```
Finally, install cuDNN. You will need to register an NVIDIA Developer account, which you can do for free. You can choose cuDNN v8.9.7 that supports CUDA toolkit v11.8. Choose ‘Local Installer for Windows (Zip)’, download and extract it. And then copy the three folders ‘bin’, ‘lib’, and ‘include’ into where the CUDA toolkit is installed (typcially, ‘C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8’), and replace all the three folders with the same names. After that, you may need to add the ‘C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8’ to path via environmental variables.

Upgrade pip, wheel, setuptools.

py -3.10 -m pip install --upgrade pip wheel setuptools

Install LabGym via pip.
```
py -3.10 -m pip install LabGym
```

If you’re using an NVIDIA GPU, install PyTorch v2.0.1 with CUDA v11.8 support.

py -3.10 -m pip install torch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 --index-url https://download.pytorch.org/whl/cu118

Launch LabGym:

LabGym

The GUI will take a few minutes to start up during the first launch. If the LabGym GUI shows up, you have successfully installed LabGym!

If this doesn’t work, which typically is because the python3/script is not in your environment path. You can google ‘add python3 script to path in environmental variable in windows’ to add it to path, or simply use the following commands to initiate LabGym:

py -3.10

from LabGym import __main__

__main__.main()