Translating Cython to Mojo, a first attempt
7 hours ago
- #Python Performance
- #Machine Learning
- #Mojo
- Mojo can now be called from Python as a beta feature, offering potential speed improvements over vanilla Python.
- Mojo is considered as a potential replacement for Cython, especially in performance-critical applications like scikit-learn.
- A simple DBSCAN inner loop from scikit-learn was translated from Cython to Mojo, showing the process is straightforward but currently slower.
- Performance improvements were made by converting Python objects to Mojo types (e.g., Spans), reducing the speed gap with Cython.
- The DBSCAN example showed that Mojo's current Python interop is promising but still in early stages, with room for optimization and stabilization.
- Future plans include rewriting more scikit-learn algorithms in Mojo, especially those benefiting from vectorization or GPU acceleration.