setuptools-cuda 0.0.5

Setuptools plugin for compiling CUDA-enable extension modules

Setuptools plugin for CUDA extensions


The setuptools-cuda is a setuptools plugin for building CUDA enabled Python extension modules.

How does it compare to other packages on the market?

As far as the authors of this package know, other CUDA-oriented Python projects focus mostly on providing higher-level abstractions over CUDA that can be accessed in Python. For instance, the well-known PyCUDA provides GPUArray and SourceModule abstractions.

However, when it comes to compiling extension modules that use CUDA, surprisingly there seems to be no good solution that just works out of the box. Typically, people tend to integrate the CUDA code into their extension modules either using some third-party build systems or by writing some ad-hoc hacks for setuptools (see e.g. this StakOverflow question).

The setuptools-cuda tries to fill this niche. It allows one for defining extension modules containing .cu compilation units that will be compiled with nvcc. Such extensions can then be build using normal setuptools build procedures.

Quickstart

Using setuptools-cuda is easy and requires you to perform the following steps.

1. Add setuptools-cuda to your build-system requirements in pyproject.toml. For instance like this:

   [build-system]
   requires = ["setuptools", "wheel", "cython", "setuptools-cuda"]
   

   If you are not using isolated builds, you should install setuptools-cuda in your environment using pip.

2. Declare your extension module by passing list of CudaExtension objects to cuda_extensions keyword to the setup() function call in setup.py. For instance, one of the examples in this repository has the following setup.py file:

   from setuptools import setup
   
   from setuptools_cuda import CudaExtension
   
   setup(
       cuda_extensions=[
           CudaExtension(
               name="thrust",
               sources=["thrustcu/thrustcu.pyx", "thrustcu/thrustcu_impl.cu"],
           ),
       ],
   )
   

3. IMPORTANT define CUDAHOME environment variable. It should point to the CUDA installation location. E.g.

   export CUDAHOME=/opt/nvidia/hpc_sdk/Linux_x86_64/23.1/cuda
   

   If you won't define the CUDAHOME evironmental variable, setuptools-cuda will do its best to guess it, but our experience shows that it might fail miserably (and probably silently).

4. Build your package as usual. Typically just running pip install should do.

Acknowledgements

This package was inspired by setuptools-rust package.