EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·29d ago·5 min read
Libraries Run Rust Inside Python (With PyO3)
TL;DR
A JSON parser was built in Rust and exposed to Python using PyO3, demonstrating significant performance improvements over traditional Python implementations. The key takeaway is that the conversion of Rust values to Python objects can be a performance bottleneck.
✦ Why It Matters
Profile the conversion from Rust to Python to identify and address performance bottlenecks in your applications.
Key Takeaways
- Use PyO3 to bridge Rust and Python for performance gains.
- Profile the conversion process to identify bottlenecks.
- Consider lazy loading for large data structures.
- Optimize the Rust function before focusing on Python integration.
How It Works
The Rust parser uses PyO3 macros to expose functions to Python, allowing seamless integration. The conversion of Rust enums to Python objects is handled through the IntoPyObject trait, which translates Rust values into their Python equivalents.
This process is crucial for maintaining performance, especially when dealing with large JSON documents.