Python interface for generating and executing OpenCL kernels
Project description
OpenCL Interface
OpenCL Interface: run custom OpenCL (and CUDA) kernels and neural networks converted from ONNX format.
Features
- Platform-agnostic OpenCL compilation with PyOpenCL
- Supported numerical formats: single, double, quantized fixed-precision, posit
- [Beta] ONNX model conversion using onnx2ocl module
- [Beta] Seamless CUDA compilation with nvcc with respect to OpenCL-written kernel (i.e., no modification of original OpenCL code)
Install
From Pypi:
pip install opencl-interface
From Github:
git clone git@github.com:giabattag/opencl-interface.git
cd opencl-interface
pip install -e .
Requirements:
- python >= 3.8
- numpy
- onnx
- onnxsim
- [Optional] pyopencl
- [Optional] pycuda
Quick start
You can try looking at the file example.py.
Contributing
Contributions are welcome via Pull Requests or in form of Issues.
License
This project is licensed under MIT License.
Citation
Please cite this project using CITATION.cff.
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