GitLab

* Fix failing tokenizer tests

* Use small tokenizer

* Fix remaining reference

* Add test for multiple images

* [run slow] owlv2

* Fix box rescaling

* [run slow] owlv2

* Unit test to verify fix
Signed-off-by: Raphael Glon <oOraph@users.noreply.github.com>

* fix from_pretrained in offline mode when model is preloaded in cache
Signed-off-by: Raphael Glon <oOraph@users.noreply.github.com>

* minor: fmt
Signed-off-by: Raphael Glon <oOraph@users.noreply.github.com>

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Signed-off-by: Raphael Glon <oOraph@users.noreply.github.com>
Co-authored-by: Raphael Glon <oOraph@users.noreply.github.com>

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

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

* fix pad_to_max_length Whisper

* add tests

* make style

fix quanto tests

* seems like `split_special_tokens` is used here

* split special token

* add new line at end of file

* moving split special token test to common tests

* added assertions

* test

* fixup

* add co-author

* passing rest of args to gptsan_japanese, fixing tests

* removing direct comparison of fast and slow models

* adding test support for UDOP and LayoutXLM

* ruff fix

* readd check if slow tokenizer

* modify test to handle bos tokens

* removing commented function

* trigger build

* applying review feedback - updated docstrings, var names, and simplified tests

* ruff fixes

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

* applying feedback, comments

* shutil temp directory fix

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Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com>
Co-authored-by: Ita Zaporozhets <itazaporozhets@Itas-MBP.localdomain>
Co-authored-by: itazap <itazap@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Ita Zaporozhets <itazaporozhets@Itas-MacBook-Pro.local>

* added interpolation for vitmae model in pytorch as well as tf.

* Update modeling_vit_mae.py

irreugalr import fixed

* small changes and proper formatting

* changes suggested in review.

* modified decoder interpolate_func

* arguments and docstring fix

* Apply suggestions from code review

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

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

* Fix remaining quant tests

* Update test_quanto.py

* Fix resume_download future warning

* better like this

* Add regression test

fix awq mistral test

* enable on xpu

* fix style

* add comment and mps

* add test that currently fails

* test passed

* all perceiver passed

* fixup, style, quality, repo-consistency, all passed

* Apply suggestions from code review: default to False + compute sqrt once only
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix a minor bracket

* replace dim with self._num_channels

* add arguments to the rest preprocessors

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

* add prefix space ignored in llama #29625

* adding test with add_prefix_space=False

* ruff

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Co-authored-by: Ita Zaporozhets <itazaporozhets@Itas-MBP.localdomain>

* Fix typo in tokenization_nllb.py

Change `adder_tokens_decoder` into `added_tokens_decoder` and improve the warning's readability.

* Fix typo in tokenization_nllb_fast.py

Change `adder_tokens_decoder` into `added_tokens_decoder` and improve the warning's readability.

* Remove deprecated attributes in tokenization_nllb.py

Remove deprecated attributes: `lang_code_to_id`, `fairseq_tokens_to_ids`, `id_to_lang_code`, and `fairseq_ids_to_tokens`

* Remove deprecated attribute in tokenization_nllb_fast.py

Remove deprecated attribute `lang_code_to_id`

* Remove deprecated properties in tokenization_nllb.py

Remove deprecated properties - fix format

* Remove deprecated properties in tokenization_nllb_fast.py

Remove deprecated properties - fix format

* Update test_tokenization_nllb.py

* update test_tokenization_nllb.py

* Update tokenization_nllb.py

* Update test_tokenization_seamless_m4t.py

* Update test_tokenization_seamless_m4t.py

* chore: initial commit

* chore: adding imports and inits

* chore: adding the causal and classification code

* chore: adding names to the layers

* chore: using single self attn layer

* chore: built the model and layers

* chore: start with testing

* chore: docstring change, transpose fix

* fix: rotary embedding

* chore: adding cache implementation

* remove unused torch

* chore: fixing the indexing issue

* make fix-copies

* Use modeling_tf_utils.keras

* make fixup

* chore: fixing tests

* chore: adding past key value logic

* chore: adding multi label classfication test

* fix: switching on the built parameters in the layers

* fixing repo consistency

* ruff formats

* style changes

* fix: tf and pt equivalence

* removing returns from docstrings

* fix docstrings

* fix docstrings

* removing todos

* fix copies

* fix docstring

* fix docstring

* chore: using easier rotate_half

* adding integration tests

* chore: addressing review related to rotary embedding layer

* review changes

* [run-slow] mistral

* skip: test save load after resize token embedding

* style

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Co-authored-by: Matt <rocketknight1@gmail.com>

* fix

* fix

* fix

* fix

* fix

* [run-slow] mpt

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

* add xpu check

* add marker

* add documentation

* update doc

* fix ci

* remove from global init

* fix

* Fix accelerate tests

* fix clip

* skip dbrx tests

* fix GPTSan

* fix M2M100Model

* same fix as jamba

* fix mt5

* Fix T5Model

* Fix umt5 model

* fix switch_transformers

* fix whisper

* fix gptsan again

* fix siglip recent test

* skip siglip tests

* wrong place fixed

* clean-up

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

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

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

* fixup

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

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

* more suggestions

* mapping if torch available

* run tests & add 'support_quantized' flag

* fix jamba test

* revert, will be fixed by another PR

* codestyle

* HQQ and versatile cache classes

* final update

* typo

* make tests happy

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Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* fiw input to generate in pipeline

* fixup

* pass input_features to generate with assistant

* error if model and assistant with different enc size

* fix

* apply review suggestions

* use self.config.is_encoder_decoder

* pass inputs to generate directly

* add slow tests

* Update src/transformers/generation/utils.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/pipelines/test_pipelines_automatic_speech_recognition.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* apply review

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

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

* apply code review

* update attributes encoder_xyz to check

* Update src/transformers/generation/utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/generation/utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/generation/utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* add slow test

* solve conflicts

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Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* PaliGemma working causal attention

* Formatting

* Style

* Docstrings + remove commented code

* Update docstring for PaliGemma Config

* PaliGemma - add separator ind to model/labels

* Refactor + docstring paligemma processor method

* Style

* return token type ids when tokenizing labels

* use token type ids when building causal mask

* add token type ids to tester

* remove separator from config

* fix style

* don't ignore separator

* add processor documentation

* simplify tokenization

* fix causal mask

* style

* fix label propagation, revert suffix naming

* fix style

* fix labels tokenization

* [run-slow]paligemma

* add eos if suffixes are present

* [run-slow]paligemma

* [run-slow]paligemma

* add misssing tokens to fast version

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

* fix style

* [run-slow]paligemma

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

* fix

* let's do this way?

* codestyle

* update

* add tests

* out_indices always a list

* Update src/transformers/utils/backbone_utils.py

* Update src/transformers/utils/backbone_utils.py

* Move type casting

* nit

* fix slow tests, add bf16 and f16 slow tests

* few fixes

* [run-slow]paligemma

* add gate decorator

* [run-slow]paligemma

* add missing gating

* [run-slow]paligemma

* [run-slow]paligemma

* Fix tests

* fix udop failing test

* remove skip

* style

* update ruff version

* fix research projects

* Empty

* Fix errors

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Co-authored-by: Lysandre <lysandre@huggingface.co>

If required padding for a crop larger than input image is odd-numbered,
the padding would be rounded down instead of rounded up, causing the
output dimension to be one smaller than it should be.

* Enforce saving at end of training

* Fix test

* Rework test

* Fixup tests'

* Update comment based on sourab feedback

* Clean

* add fix

* update import

* updated dicts and comments

* remove prints

* Update testing_utils.py

* add V1 - adalomo not working yet

* add todo docs + refactor from comments

* adjust LR

* add docs

* add more elaborated test

* Apply suggestions from code review
Co-authored-by: Zach Mueller <muellerzr@gmail.com>

* fix

* push

* add accelerate check

* fix DDP case

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

* fix

* init kwargs

* safely add attribute

* revert to enum logic

* Update src/transformers/trainer.py

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

Update test_modeling_mistral.py

* first version

* fix sliding window

* fix style

* add sliding window cache

* fix style

* address comments

* fix test

* fix style

* move sliding window check inside cache init

* revert changes on irrelevant files & add comment on SlidingWindowCache

* address comments & fix style

fix style

* update causal mask

* [run-slow] mistral

* [run-slow] mistral

* [run-slow] mistral

* [run-slow] mistral

* [run-slow] mistral

* [run-slow] llama

* [run-slow] mistral

* [run-slow] mistral

* [run-slow] mistral

* revert CI from a10 to t4

* wrap up

* Introduce configured_state

* Include note on tuning

* Allow for users to have defined a state already

* Include tests

* Add note on hpam tune

* Guard a bit better

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

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

* Finish rebase

* Finish rebase

* Guard carefully

* Fixup test

* Refactor

* Fin refactor

* Comment

* Update wrt feedback

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

* Add AutoFeatureExtractor support to Wav2Vec2ProcessorWithLM

* update with a type filter

* add raises error test

* fix added test

* fix for custom pipeline configuration

* fix for custom pipelines

* remove extra exception

* added test for custom pipelines extra tag

* format with ruff

* limit extra tag for first time only

* format with ruff

* improve tests for custom pipelines