GitLab

* Final fix RWMV 4bit

* fixup

* add a test

* add more clarifications

* fix 4bit `num_parameters`

* stronger check

* fix the deepspeed tests

* resolve comment

* add: check to remove metaspace from marian tokenizer

* fix: metaspace character being removed from everywhere

* fix: remove redundant check at top

* add: test for marian tokenizer decode fix

* fix: simplified the test

* enable optuna multi-objectives feature
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

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

* update hpo doc

* update docstring
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

* extend direction to List[str] type
Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>

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

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Signed-off-by: Wang, Yi A <yi.a.wang@intel.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fix issues in test_exponential_decay_length_penalty

Fix tests which were broken and add validation of negative scores.

Current test didn't take into account that ExponentialDecayLengthPenalty updates the score inplace, resulting in updates to base tested Tensor.

In addition, the gt assert had empty Tensors due to indexing along the batch dimension.

Test is currently expected to fail to show ExponentialDecayLengthPenalty issues with negative scores

* Fix ExponentialDecayLengthPenalty negative logits issue

In cases where the scores are negative, ExponentialDecayLengthPenalty decreases the score of eos_token_id instead of increasing it.
To fix this issue we compute the penalty of the absolute value and add it to the original score.

* Add examples for ExponentialDecayLengthPenalty

* Fix styling issue in ExponentialDecayLengthPenalty doc

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

* Style and quality fix

* Fix example outputs

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

* 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>