Hard error when ignoring tensors. (#27484) (#29906)
* Hard error when ignoring tensors. (#27484)
* [WIP] Hard error when ignoring tensors.
* Better selection/error when saving a checkpoint.
- Find all names we should normally drop (those are in the transformers
config)
- Find all disjoint tensors (for those we can safely trigger a copy to
get rid of the sharing before saving)
- Clone those disjoint tensors getting rid of the issue
- Find all identical names (those should be declared in the config
but we try to find them all anyway.)
- For all identical names:
- If they are in the config, just ignore them everything is fine
- If they are not, warn about them.
- For all remainder tensors which are shared yet neither identical NOR
disjoint. raise a hard error.
* Adding a failing test on `main` that passes here.
* We don't need to keep the subfolder logic in this test.
* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Add small tests.
* Dead variable.
* Fixup.
* Fixing tied_Weights_keys on generic models.
* Fixup + T5 encoder/decoder tying (with different layers)
* Code quality.
* Dynamic member.
* trigger
* Fixing encoder name for other types of encoder/decoder combos.
* Fix scoping.
* Update .github/workflows/self-scheduled.yml
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Fixing the tied_weights after the call.
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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
