21–30 of 92 posts
I like to see progress with multiple languages in the space. Julia, R, etc. It does seem though, that python really has a big and commanding lead. So much so that mojo is betting their business on it.
What language is Python calling to do this? Hint: a language closer to the silicon.
Why not using a faster language that compiles to WebAssembly?
Is the goal here to do everything in Javascript, or it will also be Javascript for the glue and c++/c/fortran/other-compiled-language for heavy lifting? This is more of a node-based effort, or it will work both frontend and backend.
I know operator overloading is controversial, but the way it allows automatic differentiation to work transparently through regular arithmetic expressions is very helpful. Without it these libraries will never feel like PyTorch.
JavaScript is so much faster than Python, and the package management experience is so much better, that I really think a JS library would have a chance to take market share from PyTorch in the long term if it had those features.
Someone needs to do a TypeScript compiler plugin to add multidimensional array slicing and operator overloading to the language, so these libraries can actually work the way PyTorch does. I know operator overloading is controversial, but the way it allows automatic differentiation to work transparently through regular arithmetic expressions is very helpful. Without it these libraries will never feel like PyTorch. Jav…
Someone needs to do a TypeScript compiler plugin to add multidimensional array slicing and operator overloading to the language, so these libraries can actually work the way PyTorch does. I know operator overloading is controversial, but the way it allows automatic differentiation to work transparently through regular arithmetic expressions is very helpful. Without it these libraries will never feel like PyTorch. Jav…
Could not agree more hahaha! I tried to work around it building methods like “torch.add(a, b)” for operator overloading and “torch.at(index)” for slicing. But it’s definitely not as seamless as these features you proposed.
Someone needs to do a TypeScript compiler plugin to add multidimensional array slicing and operator overloading to the language, so these libraries can actually work the way PyTorch does. I know operator overloading is controversial, but the way it allows automatic differentiation to work transparently through regular arithmetic expressions is very helpful. Without it these libraries will never feel like PyTorch. Jav…
But you can do it —- there a babel plugin in the TC39 proposal:
https://github.com/tensorflow/tfjs
I'd love to see PyTorch in JS, but I think unless you get it running on the GPU it won't be able to do much.