GitLab

remove `check_packages_compatibility` logic

* test that tied output embeddings aren't initialized on load

* don't initialize the output embeddings if we're going to tie them to the input embeddings

Modified MLflow logging metrics from synchronous to asynchronous
Co-authored-by: codiceSpaghetti <alessio.ser@hotmail.it>

fix bnb slow tests

* Pin torch to <2.2.0

* Pin torchvision and torchaudio as well

* Playing around with versions to see if this helps

* twiddle something to restart the CI

* twiddle it back

* Try changing the natten version

* make fixup

* Revert "Try changing the natten version"

This reverts commit de0d6592c35dc39ae8b5a616c27285db28262d06.

* make fixup

* fix fix fix

* fix fix fix

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

* Port core files + ESM (because ESM code is odd)

* Search-replace in modelling code

* Fix up transfo_xl as well

* Fix other core files + tests (still need to add correct import to tests)

* Fix cookiecutter

* make fixup, fix imports in some more core files

* Auto-add imports to tests

* Cleanup, add imports to sagemaker tests

* Use correct exception for importing tf_keras

* Fixes in modeling_tf_utils

* make fixup

* Correct version parsing code

* Ensure the pipeline tests correctly revert to float32 after each test

* Ensure the pipeline tests correctly revert to float32 after each test

* More tf.keras -> keras

* Add dtype cast

* Better imports of tf_keras

* Add a cast for tf.assign, just in case

* Fix callback imports

* Abstract out pipeline init args

* Address PR comments

* Reword

* BC PIPELINE_INIT_ARGS

* Remove old arguments

* Small fix

* Enable instantiating model with pretrained backbone weights

* Remove doc updates until changes made in modeling code

* Use load_backbone instead

* Add use_timm_backbone to the model configs

* Add missing imports and arguments

* Update docstrings

* Make sure test is properly configured

* Include recent DPT updates

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

guard sdpa on torch>=2.0

* use conv for tdnn

* run make fixup

* update TDNN

* add PEFT LoRA check

* propagate tdnn warnings to others

* add missing imports

* update TDNN in wav2vec2_bert

* add missing imports

Update _toctree.yml

* squashed earlier commits for easier rebase

* rm rebase leftovers

* 4bit save enabled @quantizers

* TMP gptq test use exllama

* fix AwqConfigTest::test_wrong_backend for A100

* quantizers AWQ fixes

* _load_pretrained_model low_cpu_mem_usage branch

* quantizers style

* remove require_low_cpu_mem_usage attr

* rm dtype arg from process_model_before_weight_loading

* rm config_origin from Q-config

* rm inspect from q_config

* fixed docstrings in QuantizationConfigParser

* logger.warning fix

* mv is_loaded_in_4(8)bit to BnbHFQuantizer

* is_accelerate_available error msg fix in quantizer

* split is_model_trainable in bnb quantizer class

* rm llm_int8_skip_modules as separate var in Q

* Q rm todo

* fwd ref to HFQuantizer in type hint

* rm note re optimum.gptq.GPTQQuantizer

* quantization_config in __init__ simplified

* replaced NonImplemented with  create_quantized_param

* rm load_in_4/8_bit deprecation warning

* QuantizationConfigParser refactoring

* awq-related minor changes

* awq-related changes

* awq config.modules_to_not_convert

* raise error if no q-method in q-config in args

* minor cleanup

* awq quantizer docstring

* combine common parts in bnb process_model_before_weight_loading

* revert test_gptq

* .process_model_ cleanup

* restore dict config warning

* removed typevars in quantizers.py

* cleanup post-rebase 16 jan

* QuantizationConfigParser classmethod refactor

* rework of handling of unexpected aux elements of bnb weights

* moved q-related stuff from save_pretrained to quantizers

* refactor v1

* more changes

* fix some tests

* remove it from main init

* ooops

* Apply suggestions from code review
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* fix awq issues

* fix

* fix

* fix

* fix

* fix

* fix

* add docs

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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

* Update docs/source/en/hf_quantizer.md

* address comments

* fix

* fixup

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

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

* address final comment

* update

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

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

* fix

* add kwargs update

* fixup

* add `optimum_quantizer` attribute

* oops

* rm unneeded file

* fix doctests

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Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

Add _no_split_modules to CLIPModel

* Update quantization_config.py

* Style

* Protect from setting directly

* add tests

* Update tests/quantization/bnb/test_4bit.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* doc: french README
Signed-off-by: ThibaultLengagne <thibaultl@padok.fr>

* doc: Add Depth Anything
Signed-off-by: ThibaultLengagne <thibaultl@padok.fr>

* doc: Add french link in other docs
Signed-off-by: ThibaultLengagne <thibaultl@padok.fr>

* doc: Add missing links in fr docs

* doc: fix several mistakes in translation
Signed-off-by: ThibaultLengagne <thibaultl@padok.fr>

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Signed-off-by: ThibaultLengagne <thibaultl@padok.fr>
Co-authored-by: Sarapuce <alexandreh@padok.fr>

* Update trainer.py

* Revert "Update trainer.py"

This reverts commit 0557e2cc9effa3a41304322032239a3874b948a7.

* Make trainer.py use adapter_only=True when using FSDP + PEFT

* Support load_best_model with adapter_only=True

* Ruff format

* Inspect function args for save_ load_ fsdp utility functions and only pass adapter_only=True if they support it

* [Whisper] Make tokenizer normalization public

* add to docs

* Make test_constrained_beam_search_generate as flaky

* Update tests/generation/test_utils.py

* Pin pytest version <8.0.0

* Update setup.py

* make deps_table_update

* Enabled gradient checkpointing in Deformable DETR

* Enabled gradient checkpointing in Deformable DETR encoder

* Removed # Copied from headers in modeling_deta.py to break dependence on Deformable DETR code

* 🐛

 fix .max bug

* remove prediction_length from regression output dimensions

* fix parameter names, fix output names, update tests

* ensure shape for PatchTST

* ensure output shape for PatchTSMixer

* update model, batch, and expected for regression distribution test

* update test expected
Signed-off-by: Wesley M. Gifford <wmgifford@us.ibm.com>

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

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

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

* Update src/transformers/models/patchtsmixer/modeling_patchtsmixer.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

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

* standardize on patch_length
Signed-off-by: Wesley M. Gifford <wmgifford@us.ibm.com>

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

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

* Make arguments more explicit
Signed-off-by: Wesley M. Gifford <wmgifford@us.ibm.com>

* adjust prepared inputs
Signed-off-by: Wesley M. Gifford <wmgifford@us.ibm.com>

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Signed-off-by: Wesley M. Gifford <wmgifford@us.ibm.com>
Co-authored-by: Wesley M. Gifford <wmgifford@us.ibm.com>
Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* [Docs] Fix Typo in English CLIP model_doc

* [Docs] Fix Typo in Japanese CLIP model_doc

* fix

* fix

* Fix

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

* Add serialized type name to pytrees

* Modify context

* add serde test

[Siglip] protect from imports if sentencepiece not installed

* change datasets

* fix

* try pydantic v2

* try pydantic v2

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

* fix: suppress `GatedRepoError` to use cache file (fix #28558).

* move condition_to_return parameter back to outside.

* Stop confusing the TF compiler with ModelOutput objects

* Stop confusing the TF compiler with ModelOutput objects

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

Initialize _tqdm_active with hf_hub_utils.are_progress_bars_disabled() to respect HF_HUB_DISABLE_PROGRESS_BARS

It seems like enable_progress_bar() and disable_progress_bar() sync up with huggingface_hub, but the initial value is always True. This changes will make sure the user's preference is respected implicity on initialization.

* Update preprocessing.md

adjust ImageProcessor link to working target (same as in lower section of file)

* Update preprocessing.md