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burn
Discontinued Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals. [Moved to: https://github.com/Tracel-AI/burn] (by burn-rs)
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Nope it doesn't work that way, stuff has to repeat on multiple cores per file within a single module, leading to being less compute efficient the more cores you add, unless you force everything into a single thread with WMO mode, but then you have manually manage your build graph very carefully to stay compute efficient. It could've changed since I've last looked, but there are still things like that are lurking around.
https://github.com/apple/swift/blob/main/docs/CompilerPerfor...
To get around Python's limitations and complexity of C++, here is a Rust based DL framework we are developing, called Burn: https://github.com/burn-rs/burn. The super cool thing about Burn is that you can swap backends easily.
You can use my fork of vscode julia extension for this https://github.com/xgdgsc/julia-vscode/releases/tag/v1.41.1_...
Related posts
- Burn 0.10.0 Released 🔥 (Deep Learning Framework)
- Deep Learning Framework in Rust: Burn 0.10.0 Released
- Why Rust Is the Optimal Choice for Deep Learning, and How to Start Your Journey with the Burn Deep Learning Framework
- Burn – A Flexible and Comprehensive Deep Learning Framework in Rust
- Announcing Burn-Wgpu: New Deep Learning Cross-Platform GPU Backend