GitLab

* intiial commit

* updates

* nits

* update conversion script

* update conversion script

* use path to load

* add tips etc

* some modeling logic

* modeling update

* more nits

* nits

* normal layer norm

* update config and doc

* nits

* update doc remove unused

* update

* fix inits and stuff

* fixup

* revert wrong changes

* updates

* more nits

* add default config values to the configuration file

* fixup happy

* update

* 2 tests left

* update readmes

* more nits

* slow test and more documentation

* update readme

* fix licences

* styling

* use fast if possible when saving tokenizer

* remove todo

* remove tokenization tests

* small last nits

* Apply suggestions from code review
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* nits to skip the timout doctest

* fix integration test

* fix test

* update eos token

* update to allow fast tokenization

* styling

* fix codeLlama as well for the update post processor

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

* add more copied from statements

* update

* doc passes doctest

* remove `# final layer norm?`

* change docstring prompot

* update

* Update README.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* don't doctest the conversion script as it requires more packages

* don't init a model in the config

* oups

* fix doctest

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Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* skip failing tests until #26054 is merged

* fixup

* Ignore warning if tracing with dynamo

* fix import error

* separate to function

* add test

* fix tokenizer

* make bs even

* fix multi gpu test

* style

* model forward

* fix torch import

* revert tok pin

* add new arg for gptq

* add tests

* add min version autogptq

* fix order

* skip test

* fix

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

* fix style

* change model path

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

* add: potential fix to mega chunking in decoder only model bug

* add: decoder with chunking test

* add: input_mask passed with input_ids

* revision did not exist

* correct revision

* start with error too

* fix ?

* start with nit

* one more path

* use `job_name`

* mark pipeline test as slow

* [Wav2Vec2 Conformer] Fix inference float16

* fix test

* fix test more

* clean pipe test

deepspeed resume from ckpt fixes and adding support for deepspeed optimizer and HF scheduler (#25863)

* Add support for deepspeed optimizer and HF scheduler

* fix bug

* fix the import

* fix issue with deepspeed scheduler saving for hf optim + hf scheduler scenario

* fix loading of hf scheduler when loading deepspeed checkpoint

* fix import of `DeepSpeedSchedulerWrapper`

* add tests

* add the comment and skip the failing tests

* address comment

* Add TFDebertaV2ForMultipleChoice

* Import newer model in main init

* Fix import issues

* Fix copies

* Add doc

* Fix tests

* Fix copies

* Fix docstring

* patch with accelerate xpu

* patch with accelerate xpu

* formatting

* fix tests

* revert ruff unrelated fixes

* revert ruff unrelated fixes

* revert ruff unrelated fixes

* fix test

* review fixes

* review fixes

* black fixed

* review commits

* review commits

* style fix

* use pytorch_utils

* revert markuplm test

* fix

* fix

* fix

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

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

* Update feature_extraction_clap.py

* changed all lenght to length

* Put Falcon back

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

* Update test

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

* [VITS] Fix init test

* add flaky decorator

* style

* max attempts
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* style

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Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* update

* fix

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

* some bug fixes

* updates

* Update code_llama.md
Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.github.com>

* Add co author
Co-authored-by: pcuenca <pedro@latenitesoft.com>

* add a test

* fixup

* nits

* some updates

* fix-coies

* adress comments

* nits

* nits

* fix docsting

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

* update

* add int for https://huggingface.co/spaces/hf-accelerate/model-memory-usage



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Co-authored-by: Omar Sanseviero <osanseviero@users.noreply.github.com>
Co-authored-by: pcuenca <pedro@latenitesoft.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* [VITS] Add to TTA pipeline

* Update tests/pipelines/test_pipelines_text_to_audio.py
Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>

* remove extra spaces

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Co-authored-by: Yoach Lacombe <52246514+ylacombe@users.noreply.github.com>

* Revert frozen training arguments

* TODO

* add VITS model

* let's vits

* finish TextEncoder (mostly)

* rename VITS to Vits

* add StochasticDurationPredictor

* ads flow model

* add generator

* correctly set vocab size

* add tokenizer

* remove processor & feature extractor

* add PosteriorEncoder

* add missing weights to SDP

* also convert LJSpeech and VCTK checkpoints

* add training stuff in forward

* add placeholder tests for tokenizer

* add placeholder tests for model

* starting cleanup

* let the great renaming begin!

* use config

* global_conditioning

* more cleaning

* renaming variables

* more renaming

* more renaming

* it never ends

* reticulating the splines

* more renaming

* HiFi-GAN

* doc strings for main model

* fixup

* fix-copies

* don't make it a PreTrainedModel

* fixup

* rename config options

* remove training logic from forward pass

* simplify relative position

* use actual checkpoint

* style

* PR review fixes

* more review changes

* fixup

* more unit tests

* fixup

* fix doc test

* add integration test

* improve tokenizer tests

* add tokenizer integration test

* fix tests on GPU (gave OOM)

* conversion script can handle repos from hub

* add conversion script for all MMS-TTS checkpoints

* automatically create a README for the converted checkpoint

* small changes to config

* push README to hub

* only show uroman note for checkpoints that need it

* remove conversion script because code formatting breaks the readme

* make WaveNet layers configurable

* rename variables

* simplifying the math

* output attentions and hidden states

* remove VitsFlip in flow model

* also got rid of the other flip

* fix tests

* rename more variables

* rename tokenizer, add phonemization

* raise error when phonemizer missing

* re-order config docstrings to match method

* change config naming

* remove redundant str -> list

* fix copyright: vits authors -> kakao enterprise

* (mean, log_variances) -> (prior_mean, prior_log_variances)

* if return dict -> if not return dict

* speed -> speaking rate

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

* update fused tanh sigmoid

* reduce dims in tester

* audio -> output_values

* audio -> output_values in tuple out

* fix return type

* fix return type

* make _unconstrained_rational_quadratic_spline a function

* all nn's to accept a config

* add spectro to output

* move {speaking rate, noise scale, noise scale duration} to config

* path -> attn_path

* idxs -> valid idxs -> padded idxs

* output values -> waveform

* use config for attention

* make generation work

* harden integration test

* add spectrogram to dict output

* tokenizer refactor

* make style

* remove 'fake' padding token

* harden tokenizer tests

* ron norm test

* fprop / save tests deterministic

* move uroman to tokenizer as much as possible

* better logger message

* fix vivit imports

* add uroman integration test

* make style

* up

* matthijs -> sanchit-gandhi

* fix tokenizer test

* make fix-copies

* fix dict comprehension

* fix config tests

* fix model tests

* make outputs consistent with reverse/not reverse

* fix key concat

* more model details

* add author

* return dict

* speaker error

* labels error

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

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

* remove uromanize

* add docstrings

* add docstrings for tokenizer

* upper-case skip messages

* fix return dict

* style

* finish tests

* update checkpoints

* make style

* remove doctest file

* revert

* fix docstring

* fix tokenizer

* remove uroman integration test

* add sampling rate

* fix docs / docstrings

* style

* add sr to model output

* fix outputs

* style / copies

* fix docstring

* fix copies

* remove sr from model outputs

* Update utils/documentation_tests.txt
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add sr as allowed attr

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Co-authored-by: sanchit-gandhi <sanchit@huggingface.co>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

fix instructblip test

* Save image_processor while saving pipeline (ImageSegmentationPipeline)

* Fix black issues

* Add Blip2 model in VQA pipeline

* use require_torch_gpu for test_large_model_pt_blip2

* use can_generate in vqa pipeline

* test Blip2ForConditionalGeneration using float16

* remove custom can_generate from Blip2ForConditionalGeneration

* support loading base64 images

* add test

* mention in docs

* remove the logging

* sort imports

* update error message

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

* restructure to catch base64 exception

* doesn't like the newline

* download files

* format

* optimize imports

* guess it needs a space?

* support loading base64 images

* add test

* remove the logging

* sort imports

* restructure to catch base64 exception

* doesn't like the newline

* download files

* optimize imports

* guess it needs a space?

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

update checkpoints

* return when length is zero

* Add tests
Co-authored-by: Avnish Narayan <38871737avnishn@users.noreply.github.com>

* Co-authored-by: avnishn
<38871737+avnishn@users.noreply.github.com>

* codeLlama doc should not be on Main

* update test

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Co-authored-by: Avnish Narayan <38871737avnishn@users.noreply.github.com>

* First draft

* More improvements

* Fix all tests

* More improvements

* Add backbone test

* Improve docstring

* Address comments

* Rename attribute

* Remove expected output

* Update src/transformers/models/dinov2/modeling_dinov2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fix style

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

* First draft

* Fix READMEs

* Update return_dict

* Add more tests

* Fix docstrings

* Address comments

* Address more comments

* Address more comments

* Address more comments, fix test

* Fix test

* fixing name position_embeddings to object_queries

* [fix] renaming variable and docstring do object queries

* [fix] comment position_embedding to object queries

* [feat] changes from make-fix-copies to keep consistency

* Revert "[feat] changes from make-fix-copies to keep consistency"

This reverts commit 56e3e9ede1d32f7aeefba707ddfaf12c9b4b9e7e.

* [tests] fix wrong expected score

* [fix] wrong assignment causing wrong tensor shapes

* [fix] fixing position_embeddings to object queries to keep consistency (make fix copies)

* [fix] make fix copies, renaming position_embeddings to object_queries

* [fix] positional_embeddingss to object queries, fixes from make fix copies

* [fix] comments frmo make fix copies

* [fix] adding args validation to keep version support

* [fix] adding args validation to keep version support -conditional detr

* [fix] adding args validation to keep version support - maskformer

* [style] make fixup style fixes

* [feat] adding args checking

* [feat] fixcopies and args checking

* make fixup

* make fixup

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Co-authored-by: Lorenzobattistela <lorenzobattistela@gmail.com>

* add all

* Revert "Delete .github directory"

This reverts commit 9b0ff7b052e2b20b629a26fb13606b78a42944d1.

* make conversion script backward compatible

* fixup

* more styling

* copy to llama changes

* fix repo consistency

* nits

* document correct classes

* updates

* more fixes

* nits

* update auto mappings

* add readmes

* smallupdates

* llama-code replace with llama_code

* make fixup

* updates to the testsing suite

* fix fast nits

* more small fixes

* fix decode

* fix template processing

* properly reset the normalizer

* nits processor

* tokenization tests pass

* styling

* last tests

* additional nits

* one test is left

* nits

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

* update failing test

* fixup

* remove decode infilling users should handle it on their onw after generation, padding can be a problem

* update

* make test slow and more meaningfull

* fixup

* doc update

* fixup

* Apply suggestions from code review

* add kwargs doc

* tokenizer requires `requires_backend`

* type requires_backends

* CodeLlama instead of LlamaCode

* more name cahnges

* nits

* make doctests happy

* small pipeline nits

* last nit

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* update

* add codellama to toctree

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Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Correct attention mask dtype

* reformat code

* add a test for boolean mask

* convert test to fast test

* delete unwanted print

* use assertTrue for testing

* move deepspeed to `lib_integrations.deepspeed`

* more refactor

* oops

* fix slow tests

* Fix docs

* fix docs

* addess feedback

* address feedback

* final modifs for PEFT

* fixup

* ok now

* trigger CI

* trigger CI again

* Update docs/source/en/main_classes/deepspeed.md
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* import from `integrations`

* address feedback

* revert removal of `deepspeed` module

* revert removal of `deepspeed` module

* fix conflicts

* ooops

* oops

* add deprecation warning

* place it on the top

* put `FutureWarning`

* fix conflicts with not_doctested.txt

* add back `bitsandbytes` module with a depr warning

* fix

* fix

* fixup

* oops

* fix doctests

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Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add FlaxClipTextModelWithProjection

This is necessary to support the Flax port of Stable Diffusion XL: https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/blob/fb6d705fb518524cabc79c77f13a0e7921bcab3a/text_encoder_2/config.json#L3

Co-authored-by: Martin Müller <martin.muller.me@gmail.com>
Co-authored-by: Juan Acevedo <juancevedo@gmail.com>

* Use FlaxCLIPTextModelOutput

* make fix-copies again

* Apply suggestions from code review
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Use `return_dict` for consistency with other uses.
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Fix docstring example.

* Add new model to FlaxCLIPTextModelTest

* Add to IGNORE_NON_AUTO_CONFIGURED list

* Fix naming convention.

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Co-authored-by: Martin Müller <martin.muller.me@gmail.com>
Co-authored-by: Juan Acevedo <juancevedo@gmail.com>
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

fix save_pretrained issue + add test