VidChain-exercise
/
VTimeLLM
/flash-attention
/csrc
/cutlass
/media
/docs
/pythonDSL
/quick_start.rst
| .. _quick_start: | |
| Quick Start Guide | |
| ======================= | |
| The CUTLASS DSL 4.0 release currently supports **Linux** and **Python 3.12** only. To install CUTLASS DSLs (limited to CuTe DSL for now), use the following command | |
| Installation | |
| ----------------------- | |
| To install the CUTLASS DSL, run: | |
| .. code-block:: bash | |
| pip install nvidia-cutlass-dsl | |
| The ``nvidia-cutlass-dsl`` wheel includes everything needed to generate GPU kernels. It requires | |
| the same NVIDIA driver version as the | |
| `CUDA Toolkit 12.9 <https://docs.nvidia.com/cuda/cuda-toolkit-release-notes/index.html>`_. | |
| To ensure compatibility with the examples and code on `GitHub <https://github.com/NVIDIA/cutlass/tree/main/python>`_, | |
| use the ``requirements.txt`` file from the corresponding commit in the repository. | |
| Recommended Dependencies | |
| --------------------------------- | |
| To run examples and begin development, we recommend installing: | |
| .. code-block:: bash | |
| pip install torch jupyter | |
| Recommended Python environment variables for jupyter notebooks | |
| -------------------------------------------------------------- | |
| We recommend setting the following environment variable when running jupyter notebooks. | |
| .. code-block:: bash | |
| export PYTHONUNBUFFERED=1 | |