README.md

cudatiger

An accelerated implementation of the Tiger optimizer for PyTorch, supercharged with Triton for enhanced CUDA GPU efficiency in under 100 lines of python/triton. Tiger is an extremely memory efficient Optimizer and also should be slightly faster than it's counterparts ADAM, SGD etc. Inspired by: bojone/tiger

Comparison

ToDo

• Add benchmarks comparing ADAM, TIGER, SGD, etc.
• Provide more examples.
• Introduce testing.
• Improve this README.
• Push pypi
• Improve Kernel

Citations

@misc{tigeropt,
  title={Tiger: A Tight-fisted Optimizer},
  author={Jianlin Su},
  year={2023},
  howpublished={\url{https://github.com/bojone/tiger}},
}

@article{Tillet2019TritonAI,
    title   = {Triton: an intermediate language and compiler for tiled neural network computations},
    author  = {Philippe Tillet and H. Kung and D. Cox},
    journal = {Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages},
    year    = {2019}
}

Art

@Midjourney

License:

This project is licensed under the MIT License.