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Workshop Point Transformer with IntrA

Install the requirements in a venv and change the wsl installation of cuda for your distribution

python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt 

Install Cuda, this is the WSL version. You may meed a different one.

wget https://developer.download.nvidia.com/compute/cuda/repos/wsl-ubuntu/x86_64/cuda-keyring_1.0-1_all.deb
sudo dpkg -i cuda-keyring_1.0-1_all.deb
sudo apt-get update
sudo apt-get -y install cuda

In order to run some Cuda functions it is mandatory to install Pointops.

python IntrA_transformers/external_libs/pointops/setup.py install

And finally run in a different terminal the Mlflow server:

mlflow server --host 127.0.0.1 --port 8080

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  • Jupyter Notebook 88.0%
  • Python 8.6%
  • Cuda 2.0%
  • C++ 1.4%