GitLab

* Fix word-level timestamps for audio < 30 seconds

* Fix code quality

* fix unit tests

* Fix unit tests

* Fix unit test

* temp: print out result

* temp: set max diff to None

* fix unit tests

* fix typo

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

* Use generation config for `num_frames`

* fix docs

* Move `num_frames` to kwargs

* compute stride/attn_mask once

* mark test as slow

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

* [MusicGen] Add sampling rate to config

* remove tiny

* make property

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

* style

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

* Fix GPTNeoX beam search when using parallelize

* Fix beam search idx device when using model parallel

* remove onnx related stuff
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix: move test_beam_search_on_multi_gpu to GenerationTesterMixin

* fix: add right item to _no_split_modules of MegaPreTrainedModel

* fix: add num_beams within parallelized beam_search test
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

* First commit while I figure this out

* make fixup

* Remove unused method

* Store prompt attrib

* Fix prompt argument for tests

* Make same changes in fast tokenizer

* Remove global prompts from fast tokenizer too

* stash commit

* stash commit

* Migrate PromptConfig to its True Final Location

* Replace Conversation entirely with the new class

* Import/dependency fixes

* Import/dependency fixes

* Change format for lots of default prompts

* More default prompt fixups

* Revert llama old methods so we can compare

* Fix some default configs

* Fix some default configs

* Fix misspelled kwarg

* Fixes for Blenderbot

* make fixup

* little rebase cleanup

* Add basic documentation

* Quick doc fix

* Truncate docstring for now

* Add handling for the case when messages is a single string

* Quick llama merges

* Update conversational pipeline and tests

* Add a couple of legacy properties for backward compatibility

* More legacy handling

* Add docstring for build_conversation_input_ids

* Restructure PromptConfig

* Let's start T E M P L A T I N G

* Refactor all default configs to use templates instead

* Revert changes to the special token properties since we don't need them anymore

* More class templates

* Make the sandbox even sandier

* Everything replaced with pure templating

* Remove docs for PromptConfig

* Add testing and optional requirement boilerplate

* Fix imports and make fixup

* Fix LLaMA tests and add Conversation docstring

* Finally get LLaMA working with the template system

* Finally get LLaMA working with the template system

* make fixup

* make fixup

* fmt-off for the long lists of test tokens

* Rename method to apply_chat_template for now

* Start on documentation

* Make chat_template a property that reads through to the default if it's not set

* Expand docs

* Expand chat templating doc some more

* trim/lstrip blocks by default and update doc

* Few doc tweaks

* rebase cleanup

* Clarify docstring

* rebase cleanup

* rebase cleanup

* make fixup

* Quick doc edit

* Reformat the standard template to match ChatML

* Re-add PEFT check

* Update docs/source/en/chat_templating.md
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add apply_chat_template to the tokenizer doc

* make fixup

* Add doc links

* Fix chat links

* Fix chat links

* Explain system messages in the doc

* Add chat template test

* Proper save-loading for chat template attribute

* Add test skips for layout models

* Remove _build_conversation_input_ids, add default_chat_template to code_llama

* Make sure all LLaMA models are using the latest template

* Remove default_system_prompt block in code_llama because it has no default prompt

* Update ConversationPipeline preprocess

* Add correct #Copied from links to the default_chat_templates

* Remove unneeded type checking line

* Add a dummy mark_processsed method

* Reorganize Conversation to have **deprecated_kwargs

* Update chat_templating.md

* Quick fix to LLAMA tests

* Small doc tweaks

* Add proper docstrings and "copied from" statements to all default chat templates

* Merge use_default_system_prompt support for code_llama too

* Improve clarity around self.chat_template

* Docstring fix

* Fix blenderbot default template

* More doctest fix

* Break out some tokenizer kwargs

* Update doc to explain default templates

* Quick tweaks to tokenizer args

* Cleanups for tokenizer args

* Add note about cacheing

* Quick tweak to the chat-templating doc

* Update the LLaMA template with error checking and correct system message embedding

* make fixup

* make fixup

* add requires_jinja

* Cleanup to expected output formatting

* Add cacheing

* Fix typo in llama default template

* Update LLaMA tests

* Update documentation

* Improved legacy handling in the Conversation class

* Update Jinja template with proper error handling

* Quick bugfix

* Proper exception raising

* Change cacheing behaviour so it doesn't try to pickle an entire Jinja env

* make fixup

* rebase cleanup

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Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix PEFT + gradient checkpointing

* add disable RG

* polish tests

* fix comment

* Revert "fix comment"

This reverts commit b85386f50d2b104bac522e823c47b7e232116a47.

* final explanations and tests

* [Whisper Tokenizer] Fix tests after adding timestamps

* fix s2t tokenizer tests

* fix vocab test

* backwards comp

* fix tests

* comment

* style

* fix last test

* fix fast

* make faster

* move logic to decode

* remove skip test

* fix decode with offsets

* fix special tokens

* empty commit to re-trigger ci

* use lru cache

Add missing Maskformer dataclass decorator, add dataclass check in ModelOutput for subclasses (#25638)

* Add @dataclass to MaskFormerPixelDecoderOutput

* Add dataclass check if subclass of ModelOutout

* Use unittest assertRaises rather than pytest per contribution doc

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

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

* 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