Closed ethanluoyc closed 3 years ago
Heh, wow. jax looks really cool. I literally had not heard of this! Sure, I will poke around to see how this would work. parrt: check out https://sjmielke.com/jax-purify.htm
Thanks for the interest! It's getting more attention these days and I have found it to be quite useful in a broader sense of ML (probabilistic modeling). Please let me know if there is anything that I can help with.
I'm just about done with this feature request. Would you care to try it out? @ethanluoyc it is released so you can update if you like.
Wow this is absolutely amazing! I will give it a try and let you know how it works!
Lemme know what you think. it even works for weird stuff:
jnp.fft.fft(x, norm="something weird")
I just tried it out. It really works like magic. My work involves working with lots of broadcasting and reshaping so when something goes wrong it was usually very hard to understand what the problem is. Your work has really made things a lot simpler!
That's great to hear, @ethanluoyc ! It would be very helpful if you could advertise TensorSensor in the JAX community :) thank you!
Definitely!
On Dec 7, 2020, at 12:59 AM, Terence Parr notifications@github.com wrote:
That's great to hear, @ethanluoyc https://github.com/ethanluoyc ! It would be very helpful if you could advertise TensorSensor in the JAX community :) thank you!
— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/parrt/tensor-sensor/issues/17#issuecomment-739604363, or unsubscribe https://github.com/notifications/unsubscribe-auth/ABOCZOBBBQCVAXIDQZN3AJ3STQSIXANCNFSM4UA4UMJA.
Hi,
Thanks for the awesome library! This has really made my debugging life much easier.
Just a question. Is there any plan to support JAX? I think this can be similarly supported since the API of JAX almost looks identical to NumPy.