wonnx
Brain.js
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wonnx | Brain.js | |
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18 | 12 | |
1,424 | 14,152 | |
4.9% | 0.3% | |
6.5 | 5.7 | |
10 days ago | about 1 month ago | |
Rust | TypeScript | |
GNU General Public License v3.0 or later | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
wonnx
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Intel CEO: 'The entire industry is motivated to eliminate the CUDA market'
The two I know of are IREE and Kompute[1]. I'm not sure how much momentum the latter has, I don't see it referenced much. There's also a growing body of work that uses Vulkan indirectly through WebGPU. This is currently lagging in performance due to lack of subgroups and cooperative matrix mult, but I see that gap closing. There I think wonnx[2] has the most momentum, but I am aware of other efforts.
[1]: https://kompute.cc/
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VkFFT: Vulkan/CUDA/Hip/OpenCL/Level Zero/Metal Fast Fourier Transform Library
To a first approximation, Kompute[1] is that. It doesn't seem to be catching on, I'm seeing more buzz around WebGPU solutions, including wonnx[2] and more hand-rolled approaches, and IREE[3], the latter of which has a Vulkan back-end.
[1]: https://kompute.cc/
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Onnx Runtime: “Cross-Platform Accelerated Machine Learning”
There's also a third-party WebGPU implementation: https://github.com/webonnx/wonnx
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Are there any ML crates that would compile to WASM?
By experimental I meant e.g. using WGPU to run compute shaders like wonnx, which is working fine but only on a very restricted set of devices and browsers.
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PyTorch Primitives in WebGPU for the Browser
https://news.ycombinator.com/item?id=35696031 ... TIL about wonnx: https://github.com/webonnx/wonnx#in-the-browser-using-webgpu...
microsoft/onnxruntime: https://github.com/microsoft/onnxruntime
Apache/arrow has language-portable Tensors for cpp: https://arrow.apache.org/docs/cpp/api/tensor.html and rust: https://docs.rs/arrow/latest/arrow/tensor/struct.Tensor.html and Python: https://arrow.apache.org/docs/python/api/tables.html#tensors https://arrow.apache.org/docs/python/generated/pyarrow.Tenso...
Fwiw it looks like the llama.cpp Tensor is from ggml, for which there are CUDA and OpenCL implementations (but not yet ROCm, or a WebGPU shim for use with emscripten transpilation to WASM): https://github.com/ggerganov/llama.cpp/blob/master/ggml.h
Are the recommendable ways to cast e.g. arrow Tensors to pytorch/tensorflow?
FWIU, Rust has a better compilation to WASM; and that's probably faster than already-compiled-to-JS/ES TensorFlow + WebGPU.
What's a fair benchmark?
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rustformers/llm: Run inference for Large Language Models on CPU, with Rust 🦀🚀🦙
wonnx has done some fantastic work in this regard, so that's where we plan to start once we get there. In terms of general discussion of alternate backends, see this issue.
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I want to talk about WebGPU
> GPU in other ways, such as training ML models and then using them via an inference engine all powered by your local GPU?
Have a look at wonnix https://github.com/webonnx/wonnx
A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web
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Chrome Ships WebGPU
Looking forward to your WebGPU ML runtime! Also, why not contribute back to WONNX? (https://github.com/webonnx/wonnx)
This makes running larger machine learning models in the browser feasible - see e.g. https://github.com/webonnx/wonnx (I believe Microsoft's ONNXRuntime.js will also soon gain a WebGPU back-end).
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OpenXLA Is Available Now
You can indeed perform inference using WebGPU (see e.g. [1] for GPU-accelerated inference of ONNX models on WebGPU; I am one of the authors).
The point made above is that WebGPU can only be used for GPU's and not really for other types of 'neural accelerators' (like e.g. the ANE on Apple devices).
Brain.js
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Why do people curse JS so much, but also say it's better than Python
Brain.js: This is a library for training and deploying neural networks in JavaScript. It provides a simple and flexible API for building feedforward and recurrent networks.
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Picking a programming language
Next comes machine learning: thought you'd use python for that? Tensorflow? Wrong. You use brain.js for that. 😎
- Brain.js: GPU Accelerated Neural Networks in JavaScript
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Top 5 JavaScript Libraries for Machine Learning, Deep Learning
Brain.js
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Node.js Packages and Resources
Brain.js - Machine-learning framework.
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I had a neural network hallucinate over the bible - the text is the input to generate the visuals, and the audio is a mix between text to speech and autoencoder-based processing of gregorian chants
I actually was digging around last night and found Brain.js, which seems to have abstracted some neural network algorithms into a nifty node ready environment to run either browser or server side, so I’m gonna play with that. Thanks for the inspiration!
What are some alternatives?
Bitcoin - Bitcoin Core integration/staging tree
Cytoscape.js - Graph theory (network) library for visualisation and analysis
stablehlo - Backward compatible ML compute opset inspired by HLO/MHLO
turf - A modular geospatial engine written in JavaScript and TypeScript
nsfwjs - NSFW detection on the client-side via TensorFlow.js
tract - Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
onnx - Open standard for machine learning interoperability
ipfs - IPFS implementation in JavaScript
js-git - A JavaScript implementation of Git.
NodeOS - Lightweight operating system using Node.js as userspace
isomorphic-git - A pure JavaScript implementation of git for node and browsers!
iree - A retargetable MLIR-based machine learning compiler and runtime toolkit.