bhack
bhack
If you want to open a small PR to better notify this in the documentation you are welcome
No it is not about only the numerically reproducibility for the `gamma` and `beta` but it is also the first part of the claim: > with group size of 1...
@seanpmorgan Let me know if you see a margin for a documentation PR or if we could close this. I don't think that the codowner is available.
/cc @abrown if interested
I think you could be also quite interested in the status of Flexible vectors /cc @nicolasvasilache https://github.com/WebAssembly/flexible-vectors/issues/7
> gap for ML systems between compilers and runtimes, allowing us to have the best of both worlds. @stellaraccident Do you will also the exploration avantgrade for TFRT on this...
What I meant about runtimes.. has TFRT its own plan on this topic? Or this could be explored by IREE and eventually contributed back.
Yes interesting times expecially about the portability impact on in browser and out of browser runtimes: https://blog.tensorflow.org/2020/03/introducing-webassembly-backend-for-tensorflow-js.html
@jbingham (Google) has done an interesting presentation on July at https://www.w3.org/2020/06/machine-learning-workshop/talks/a_proposed_web_standard_to_load_and_run_ml_models_on_the_web.html There is also an interesting FAQ at https://github.com/webmachinelearning/model-loader/blob/master/explainer.md E.G. https://github.com/webmachinelearning/model-loader/blob/master/explainer.md#why-not-adopt-mlir-today
it's always nice to understand in which direction the different forces are pushing :wink: