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tomhennigan avatar tomhennigan commented on May 18, 2024

Thanks for the FR! In Haiku we don't special case __call__ (or other methods) meaning that module instances don't actually have to be callable. As an example for a VAE you may want a single module that defines def encode(self, x) and def decode(self, z) but not __call__.

It is common for modules to be callable of course, and we have considered adding def __call__(self, *a, **k) -> Any: raise NotImplementedError to the Module base class (purely for type hints), however our current thinking is that this is not actually more useful as a type hint than users using Callable[..., Any] and actually might be harmful (modules that aren't actually callable would pass the static analysis). Another downside IMHO is that we cannot define a calling convention other than *a, **k -> Any because users can (and do) do anything with their __call__ method.

Using Callable instead of hk.Module may have other benefits, for example in most places where you could pass a callable module you could also pass a function. As a concrete example in our Sequential module we take a list of callables and this means users can pass lambda x: x or a module instance or a JAX function etc.

We're keen where possible to encourage JAX code to be decoupled from Haiku, we feel that overall this is best for the ecosystem and users will not be locked into a particular way of using JAX by our libraries.

Concretely, if you're thinking about requiring hk.Modules in your type signatures to, I would suggest instead requiring Callable[..., Any] and even better define the calling convention you require too: Callable[[jnp.ndarray], jnp.ndarray].

from dm-haiku.

cgarciae avatar cgarciae commented on May 18, 2024

I see. What you are saying makes sense in that context.

On my side I am creating a framework on top of Haiku so I have to assume that users will create a generic callable Module, I guess I need to create a type intersection like this: python/typing#213 (comment)

Thanks!

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