typing: add rule 14 - checks for tie_word_embeddings presence

[tarekziade]

What does this PR do?

Adds Rule 14

if _tied_weights_keys is present and non-empty in modeling -> Config MUST contain the tie_word_embeddings field

[tarekziade]

run-slow: ibert

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Workflow Run ⚙️

This comment contains run-slow, running the specified jobs:

models: ["models/ibert"]
quantizations: []

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Commit Info

Context	Commit	Description
RUN	2a68caa7	workflow commit (merge commit)
PR	bf1e9854	branch commit (from PR)
main	28af8184	base commit (on main)

✅ No failing test specific to this PR 🎉 👏 !

[Cyrilvallez]

Just tried it in real world and does not work correctly all the time!
E.g. if _tied_weights_keys are in the main model but tie_word_embeddings in the text config it passes, even though it should not!
Also, would be nice to have which config type should be updated when it correctly finds the missing pattern, instead of saying a geenral: TRF014: AlignVisionModel defines _tied_weights_keys but configuration_align.py does not declare tie_word_embeddings. Add 'tie_word_embeddings: bool = True' to the config class.

Would be super nice to have the reverse as well: if you have tie_word_embeddings in Config -> model using THIS AND ONLY THIS config type should have a _tied_weights_keys, otherwise let's remove tie_word_embeddings

[tarekziade]

Just tried it in real world and does not work correctly all the time! E.g. if _tied_weights_keys are in the main model but tie_word_embeddings in the text config it passes, even though it should not!

ah! that's the sub_configs["text_config"] early exit - will add test cases and fix it, thanks!

Also, would be nice to have which config type should be updated when it correctly finds the missing pattern, instead of saying a geenral: TRF014: AlignVisionModel defines _tied_weights_keys but configuration_align.py does not declare tie_word_embeddings. Add 'tie_word_embeddings: bool = True' to the config class.

That would be a very nice addition indeed I will see how we could templatize error messages.

Would be super nice to have the reverse as well: if you have tie_word_embeddings in Config -> model using THIS AND ONLY THIS config type should have a _tied_weights_keys, otherwise let's remove tie_word_embeddings

👍

[github-actions]

[For maintainers] Suggested jobs to run (before merge)

run-slow: blip, ibert, janus, kosmos2, kosmos2_5, pe_audio_video, perception_lm, qwen3_omni_moe

[tarekziade]

Would be super nice to have the reverse as well: if you have tie_word_embeddings in Config -> model using
THIS AND ONLY THIS config type should have a _tied_weights_keys, otherwise let's remove tie_word_embeddings

let's do this in a separate twin rule, it would be too complex to add in this one