The most IDE-ish experience is probably currently the vscode plugin. I haven’t used pycharm specifically for comparison, but I suspect “probably not” as compared to a polished paid IDE in general. There’s progress being made though.
What do you mean by that? AFAICT for the most part Julia is already like the best that Jax could ever hope to be — since there is language level support for JIT compilation, gradients, etc — given how well libraries compose without having to pick different incompatible subsets of the language.
That's right, but at the same time Flux, the default choice is not mature at all compared to JAX. So that advantage is only on paper.
I would really prefer to use Julia, I actually dislike Python, but it's unrealistic to implement large architectures in Flux. It is buggy, lots of gradient calculations are unreliable.
Ah, I see. There’s XLA.jl for TPUs and a bunch of stuff from the JuliaGPU organization for GPUs — I wonder how they compare with TF/PyTorch/JAX.
I’m curious to get perspectives on what remains to be done to solve the missing piece, and what are the biggest challenges to overcome (assuming one gets access to the appropriate low level APIs on top of the hardware — like OpenAI’s Triton).
