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by ainch
25 days ago
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I think we're talking at cross purposes. The reason I'm excited about the Pyrefly work is that it leverages the type system to infer array shapes statically, which makes it simpler to reason about them when you're writing the code and catch bugs. The fact that people have developed these janky approaches to shape tracking suggests that there's a gap to be filled. Jax and Torch don't do that statically. They obviously have to do it at runtime, but that doesn't address this particular issue. I mention Eigen because array shape hinting is generally useful for any linalg library, not purely for ML applications. |
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You don't understand what you're talking about.
Jax is explicitly mentioned in your pyrefly link as having a parallel (but slightly weaker) system. In addition Jax is built on stablehlo which uses shape dialect, which is part of the compiler (and therefore statically known).
Torch has a symbolic shape inference system that I helped build:
https://github.com/pytorch/pytorch/blob/main/torch/fx/experi...
> The fact that people have developed these janky approaches to shape tracking suggests that there's a gap to be filled.
I have already said it: the fact that people do not know how to use the tools does not mean the tools are lacking - it means the users are unsophisticated. Let me put it this way: almost everyone that is employed to work with these tools is aware of these features and therefore eschews those kinds of comment strings.