GitLab

* fixes

* more fixes

* style fix

* more fix

* comments

* fix

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* First draft

* Add backwards compatibility

* More improvements

* More improvements

* Improve error message

* Address comment

* Add conversion script

* Fix style

* Update code snippet

* Adddress comment

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fix passing scheduler-specific kwargs through TrainingArguments `lr_scheduler_kwargs`

* Added test for lr_scheduler_kwargs

* Update forward signature

* Empty-Commit

* fix assisted decoding attention_cat

* fix attention_mask for assisted decoding

* fix attention_mask len

* fix attn len

* Use a more clean way to prepare assistant models inputs

* fix param meaning

* fix param name

* fix assistant model inputs

* update token type ids

* fix assistant kwargs copy

* add encoder-decoder tests of assisted decoding

* check if assistant kwargs contains updated keys

* revert test

* fix whisper tests

* fix assistant kwargs

* revert whisper test

* delete _extend funcs

* Fix mistral generate for long prompt / response

* Add unit test

* fix linter

* fix linter

* fix test

* add assisted generation test for mistral and load the model in 4 bit + fa2

* fix

* fix

* fix

* fix

* fix

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* fix

* fix

* trigger

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <hi@lysand.re>

* tic

* revert

* revert

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Lysandre Debut <hi@lysand.re>

fix
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* update

* fix

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* initial commit

* Add inital testing files and modify __init__ files to add UnivNet imports.

* Fix some bugs

* Add checkpoint conversion script and add references to transformers pre-trained model.

* Add UnivNet entries for auto.

* Add initial docs for UnivNet.

* Handle input and output shapes in UnivNetGan.forward and add initial docstrings.

* Write tests and make them pass.

* Write docs.

* Add UnivNet doc to _toctree.yml and improve docs.

* fix typo

* make fixup

* make fix-copies

* Add upsample_rates parameter to config and improve config documentation.

* make fixup

* make fix-copies

* Remove unused upsample_rates config parameter.

* apply suggestions from review

* make style

* Verify and add reason for skipped tests inherited from ModelTesterMixin.

* Add initial UnivNetGan integration tests

* make style

* Remove noise_length input to UnivNetGan and improve integration tests.

* Fix bug and make style

* Make UnivNet integration tests pass

* Add initial code for UnivNetFeatureExtractor.

* make style

* Add initial tests for UnivNetFeatureExtractor.

* make style

* Properly initialize weights for UnivNetGan

* Get feature extractor fast tests passing

* make style

* Get feature extractor integration tests passing

* Get UnivNet integration tests passing

* make style

* Add UnivNetGan usage example

* make style and use feature extractor from hub in integration tests

* Update tips in docs

* apply suggestions from review

* make style

* Calculate padding directly instead of using get_padding methods.

* Update UnivNetFeatureExtractor.to_dict to be UnivNet-specific.

* Update feature extractor to support using model(**inputs) and add the ability to generate noise and pad the end of the spectrogram in __call__.

* Perform padding before generating noise to ensure the shapes are correct.

* Rename UnivNetGan.forward's noise_waveform argument to noise_sequence.

* make style

* Add tests to test generating noise and padding the end for UnivNetFeatureExtractor.__call__.

* Add tests for checking batched vs unbatched inputs for UnivNet feature extractor and model.

* Add expected mean and stddev checks to the integration tests and make them pass.

* make style

* Make it possible to use model(**inputs), where inputs is the output of the feature extractor.

* fix typo in UnivNetGanConfig example

* Calculate spectrogram_zero from other config values.

* apply suggestions from review

* make style

* Refactor UnivNet conversion script to use load_state_dict (following persimmon).

* Rename UnivNetFeatureExtractor to UnivNetGanFeatureExtractor.

* make style

* Switch to using torch.tensor and torch.testing.assert_close for testing expected values/slices.

* make style

* Use config in UnivNetGan modeling blocks.

* make style

* Rename the spectrogram argument of UnivNetGan.forward to input_features, following Whisper.

* make style

* Improving padding documentation.

* Add UnivNet usage example to the docs.

* apply suggestions from review

* Move dynamic_range_compression computation into the mel_spectrogram method of the feature extractor.

* Improve UnivNetGan.forward return docstring.

* Update table in docs/source/en/index.md.

* make fix-copies

* Rename UnivNet components to have pattern UnivNet*.

* make style

* make fix-copies

* Update docs

* make style

* Increase tolerance on flaky unbatched integration test.

* Remove torch.no_grad decorators from UnivNet integration tests to try to avoid flax/Tensorflow test errors.

* Add padding_mask argument to UnivNetModel.forward and add batch_decode feature extractor method to remove padding.

* Update documentation and clean up padding code.

* make style

* make style

* Remove torch dependency from UnivNetFeatureExtractor.

* make style

* Fix UnivNetModel usage example

* Clean up feature extractor code/docstrings.

* apply suggestions from review

* make style

* Add comments for tests skipped via ModelTesterMixin flags.

* Add comment for model parallel tests skipped via the test_model_parallel ModelTesterMixin flag.

* Add # Copied from statements to copied UnivNetFeatureExtractionTest tests.

* Simplify UnivNetFeatureExtractorTest.test_batch_decode.

* Add support for unbatched padding_masks in UnivNetModel.forward.

* Refactor unbatched padding_mask support.

* make style

* [Whisper] Add seq gen

* [Whisper] Add seq gen

* more debug

* Fix whisper logit processor

* Improve whisper code further

* Fix more

* more debug

* more debug

* Improve further

* Add tests

* Prep for batch size > 1

* Get batch_size>1 working

* Correct more

* Add extensive tests

* more debug

* more debug

* more debug

* add more tests

* more debug

* Apply suggestions from code review

* more debug

* add comments to explain the code better

* add comments to explain the code better

* add comments to explain the code better

* Add more examples

* add comments to explain the code better

* fix more

* add comments to explain the code better

* add comments to explain the code better

* correct

* correct

* finalize

* Apply suggestions from code review

* Apply suggestions from code review

explicit use_cache=True

* tvp model for video grounding

add tokenizer auto

fix param in TVPProcessor

add docs

clear comments and enable different torch dtype

add image processor test and model test and fix code style

* fix conflict

* fix model doc

* fix image processing tests

* fix tvp tests

* remove torch in processor

* fix grammar error

* add more details on tvp.md

* fix model arch for loss, grammar, and processor

* add docstring and do not regard TvpTransformer, TvpVisionModel as individual model

* use pad_image

* update copyright

* control first downsample stride

* reduce first only works for ResNetBottleNeckLayer

* fix param name

* fix style

* add testing

* fix style

* rm init_weight

* fix style

* add post init

* fix comments

* do not test TvpTransformer

* fix warning

* fix style

* fix example

* fix config map

* add link in config

* fix comments

* fix style

* rm useless param

* change attention

* change test

* add notes

* fix comments

* fix tvp

* import checkpointing

* fix gradient checkpointing

* Use a more accurate example in readme

* update

* fix copy

* fix style

* update readme

* delete print

* remove tvp test_forward_signature

* remove TvpTransformer

* fix test init model

* merge main and make style

* fix tests and others

* fix image processor

* fix style and model_input_names

* fix tests

* Enable tracing with DINOv2 model

* ABC

* Add note to model doc

* fix various bugs with flash attention

* bump

* fix test

* fix mistral

* use skiptest instead of return that may be misleading

* fix on review

* fix image_attention gate in idefics modeling

* update comment

* cleaner gating

* fix gate condition

* create attention gate once

* update comment

* update doc of cross-attention forward

* improve comment

* bring back no_images

* pass cross_attention_gate similarly  to no_images gate

* add information on gate shape

* fix no_images placement

* make tests for gate

* take off no_images logic

* update test based on comments

* raise value error if cross_attention_gate is None

* send cross_attention_gate to device

* Revert "send cross_attention_gate to device"

This reverts commit 054f84228405bfa2e75fecc502f6a96dc83cdc0b.

* send cross_attention_gate to device

* fix device in test + nit

* fill hidden_states with zeros instead of multiplying with the gate

* style

* Update src/transformers/models/idefics/modeling_idefics.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/idefics/modeling_idefics.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* dvclive callback: warn instead of fail when logging non-scalars

* tests: log lr as scalar

* add fa2 support for from_config

* Update test_modeling_common.py

* Load idx2sym from pretrained vocab file in Transformer XL

When loading vocab file from a pretrained tokenizer for Transformer XL,
although the pickled vocabulary file contains a idx2sym key, it isn't
loaded, because it is discarded as the empty list already exists as
an attribute.

Solution is to explicitly take it into account, just like for sym2idx.

* ran make style

fixed the broken links belogs to dataset library of transformers

* fix

* fix

---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* try to stylify using ruff

* might need to remove these changes?

* use ruf format andruff check

* use isinstance instead of type comparision

* use # fmt: skip

* use # fmt: skip

* nits

* soem styling changes

* update ci job

* nits isinstance

* more files update

* nits

* more nits

* small nits

* check and format

* revert wrong changes

* actually use formatter instead of checker

* nits

* well docbuilder is overwriting this commit

* revert notebook changes

* try to nuke docbuilder

* style

* fix feature exrtaction test

* remve `indent-width = 4`

* fixup

* more nits

* update the ruff version that we use

* style

* nuke docbuilder styling

* leve the print for detected changes

* nits

* Remove file I/O
Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com>

* style

* nits

* revert notebook changes

* Add # fmt skip when possible

* Add # fmt skip when possible

* Fix

* More `  # fmt: skip` usage

* More `  # fmt: skip` usage

* More `  # fmt: skip` usage

* NIts

* more fixes

* fix tapas

* Another way to skip

* Recommended way

* Fix two more fiels

* Remove asynch
Remove asynch

---------
Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com>

* Set usedforsecurity=False in hashlib methods (FIPS compliance)

* trigger ci

* tokenizers version

* deps

* bump hfh version

* let's try this

* Revert "add attention_mask and position_ids in assisted model (#26892)"

This reverts commit 184f60dc.

* more debug

* fix

* style

* add test

* import hf error

* nits

* fixup

* catch the error at the correct place

* style

* improve message a tiny bit

* Update src/transformers/utils/hub.py
Co-authored-by: Lucain <lucainp@gmail.com>

* add a test

---------
Co-authored-by: Lucain <lucainp@gmail.com>

* Fix beam score calculation issue for decoder-only models

* Update beam search test and fix code quality issue

* Fix beam_sample, group_beam_search and constrained_beam_search

* Split test for pytorch and TF, add documentation

---------
Co-authored-by: Xin Qiu <xin.qiu@sentient.ai>

* skip 4 tests

* nits

* style

* wow it's not my day

* skip new failing tests

* style

* skip for NLLB MoE as well

* skip `test_assisted_decoding_sample` for everyone

* Add tests

* Add integration test

* More improvements

* Fix tests

* Fix style

* Skip gradient checkpointing tests

* Update script

* Remove scripts

* Remove Fuyu from auto mapping

* Fix integration test

* More improvements

* Remove file

* Add Fuyu to slow documentation tests

* Address comments

* Clarify comment

* skip 4 tests

* nits

* style

* wow it's not my day

* skip new failing tests

* style

* skip for NLLB MoE as well

* Have seq2seq just use gather

* Change

* Reset after

* Make slow

* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Clean

* Simplify and just use gather

* Update tests/trainer/test_trainer_seq2seq.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* gather always for seq2seq

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

The model was merged before final review and approval.

This reverts commit 2ac5b932.

* fix speecht5 wrong attention mask when padding

* enable batch generation and add parameter attention_mask

* fix doc

* fix format

* batch postnet inputs, return batched lengths, and consistent to old api

* fix format

* fix format

* fix the format

* fix doc-builder error

* add test, cross attention and docstring

* optimize code based on reviews

* docbuild

* refine

* not skip slow test

* add consistent dropout for batching

* loose atol

* add another test regarding to the consistency of vocoder

* fix format

* refactor

* add return_concrete_lengths as parameter for consistency w/wo batching

* fix review issues

* fix cross_attention issue

* skip 4 tests

* nits

* style

* wow it's not my day

* `modules_to_save` support for peft integration

* Update docs/source/en/peft.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* slightly elaborate test

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>