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ekzhang commented on Show HN: Jax-JS, array library in JavaScript targeting WebGPU   ss.ekzhang.com/p/jax-js-a... · Posted by u/ekzhang
sestep · a month ago
It should be fairly straightforward; feel free to open a PR following the instructions in CONTRIBUTING.md :)
ekzhang · a month ago
I don’t think this is straightforward but it may be a skill issue on my part. It would require dockerizing headless Chrome with WebGPU support and dynamically injecting custom bundled JavaScript into the page, then extracting the results with Chrome IPC
ekzhang commented on Show HN: Jax-JS, array library in JavaScript targeting WebGPU   ss.ekzhang.com/p/jax-js-a... · Posted by u/ekzhang
fouronnes3 · a month ago
Congrats on the launch! This is a very exciting project because the only decent autodiff implementation in typescript was tensorflowjs, which has been completely abandonned by Google. Everyone uses onnx runtime web for inference but actually computing gradients in typescript was surprisingly absent from the ecosystem since tfjs died.

I will be following this project closely! Best of luck Eric! Do you have plans to keep working on it for sometime? Is it a side project or will you abe ble to commit to jax-js longer term?

ekzhang · a month ago
Yes, we are actively working on it! The goal is to be a full ML research library, not just a model inference runtime. You can join the Discord to follow along
ekzhang commented on Show HN: Jax-JS, array library in JavaScript targeting WebGPU   ss.ekzhang.com/p/jax-js-a... · Posted by u/ekzhang
sestep · a month ago
Nope, both are measured! In fact, the time to do the autodiff transformation isn't even reflected in the charts shown on the README and the website; those charts only show the time to actually run the computations.
ekzhang · a month ago
Hm okay, seems like an interesting set of benchmarks — let me know if there’s anything I can do to help make jax-js more compatible with your docker setup
ekzhang commented on Show HN: Jax-JS, array library in JavaScript targeting WebGPU   ss.ekzhang.com/p/jax-js-a... · Posted by u/ekzhang
maelito · a month ago
Could not run the demos on Firefox. On Chromium, the Great Expectations loads but then nothing happens.
ekzhang · a month ago
Firefox doesn’t support WebGPU yet, you can run programs in the REPL through other backends like Wasm/WebGL: https://jax-js.com/repl

See: https://caniuse.com/webgpu

ekzhang commented on Show HN: Jax-JS, array library in JavaScript targeting WebGPU   ss.ekzhang.com/p/jax-js-a... · Posted by u/ekzhang
sroussey · a month ago
onnx on the web has the most models available and can use webgpu which is available everywhere.

Huggingface’s transformers.js uses it. And I use that for https://workglow.dev (also tensorflow mediapipe though that is using wasm).

I don’t think webnn has gone anywhere and is too restrictive.

ekzhang · a month ago
Since ONNX is just a model data format, you can actually parse and run ONNX files in jax-js as well. Here’s an example of running DETR ResNet-50 from Xenova’s transformers.js checkpoint in jax-js

https://jax-js.com/detr-resnet-50

I don’t think I intend to support everything in ONNX right now, especially quant/dequant, but eventually it would be interesting to see if we can help accelerate transformers.js with a jax-js backend + goodies like kernel fusion

jax-js is more trying to explore being an ML research library, rather than ONNX which is a runtime for exported models

ekzhang commented on Show HN: Jax-JS, array library in JavaScript targeting WebGPU   ss.ekzhang.com/p/jax-js-a... · Posted by u/ekzhang
mlajtos · a month ago
I have a project using tfjs and jax-js is very exciting alternative. However during porting I struggle a lot with `.ref` and `.dispose()` API. Coming from tfjs where you garbage collect with `tf.tidy(() => { ... })`, API in jax-js seems very low-level and error-prone. Is that something that can be improved or is it inherent to how jax-js works?

Would `using`[0] help here?

[0]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Refe...

ekzhang · a month ago
I don’t think tf.tidy() is a sound API under jvp/grad transformations, also it prevents you from using async which makes it incompatible with GPU backends (or blocks the page), a pretty big issue. https://github.com/tensorflow/tfjs/issues/5468

Thanks for the feedback though, just explaining how we arrived at this API. I hope you’d at least try it out — hopefully you will see when developing that the refs are more flexible than alternatives.

ekzhang commented on Show HN: Jax-JS, array library in JavaScript targeting WebGPU   ss.ekzhang.com/p/jax-js-a... · Posted by u/ekzhang
sestep · a month ago
Hey Eric, great to see you've now published this! I know we chatted about this briefly last year, but it would be awesome to see how the performance of jax-js compares against that of other autodiff tools on a broader and more standard set of benchmarks: https://github.com/gradbench/gradbench
ekzhang · a month ago
For sure! It looks like this is benchmarking the autodiff cpu time, not the actual kernels though, which (correct me if I’m wrong) isn’t really relevant for an ML library — it’s more for if you have a really complex scientific expression
Posted by u/ekzhang a month ago
Show HN: Jax-JS, array library in JavaScript targeting WebGPUss.ekzhang.com/p/jax-js-a...
Posted by u/ekzhang 2 months ago
Show HN: jax-js – JAX in pure JavaScriptgithub.com/ekzhang/jax-js...
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