Chunking #409
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Chunking #409
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…or logic, recurrent estimators, recurrent modules
…com:GFNOrg/torchgfn into generalize_samplers
… generalize_samplers
…tion paths. simplified the API of adapters.
tweak of how default preprocessor is defined
…tion, added some useful safeguard assertions, bugfix related to saving estimator_outputs path
Make adapters logic part of estimators via `PolicyMixin`
jaggbow
reviewed
Oct 15, 2025
| device = states_active.device | ||
| mask = torch.zeros(B, N, dtype=torch.bool, device=device) | ||
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| for b in range(B): |
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I wonder if it's possible to parallelize this.
jaggbow
reviewed
Oct 15, 2025
| non_exit_ids = [i for i in range(env.n_actions) if i != env.exit_token_id] | ||
| seen = set(env.vocab) | ||
| out: set[Hashable] = set() | ||
| while len(out) < n_tokens_to_add and len(out) < 10_000: |
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any reason the 10000 is hard coded here?
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Description
This is a DRAFT (no working example yet) which adds the core functionality implemented in https://github.com/GFNOrg/Chunk-GFN
I will update this with details when I have a working implementation.
Please see
testing/test_chunking.pyfor working examples of core functionality.