Description
Hello,
I hope it's the appropriate place to ask such questions, let me know if it would be better suited elsewhere.
We would like to run some model via executorch, the trickiness is that this model has multiple methods that we want to expose and that can manipulate its state (one method is the actual forward pass, the other allows one to reset the internal state). I don't think I've found a proper way to do this.
I came across export multiple functions of a pytorch module that suggests calling export multiple times and relying on "Later when ExecuTorch serializes to a binary, the weights/buffer in that structure are then merged into one state dict" but didn't manage to get that to work.
First even if the documentation of torch.export mentions that it can apply to a callable here, it seems to only work on modules. And after trying to call torch.export on two different modules with a common state, these don't seem to actually get shared.
Do you know if it's possible to achieve this with executorch at the moment? Any pointer on a model that already does this? (I looked into the examples and googled around but no luck)
In case it helps, you can see the code where I tried to export two modules that share a common state here.