GitLab

Skip flaky test for now

* Rescale image back if it was scaled during PIL conversion

* do_rescale is defined if PIL image passed in

* Move common properties to BackboneMixin

* Fix failing tests

* Update ConvNextV2 backbone

* Update: ignore padding support for TransfoXL training when n_clusters==0

* Update: transformer XL always pad

* Update: drop doc

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

This reverts commit fd81746dbec5f17c8285a0fdc72ca4b4c025cc33.

fix slow test

Revert "Error (also in original) model, scaling only q matrix not qk.T dot product (qk.T/sqrt(dim_per_head))" (#22444)

Revert "Error (also in original) model, scaling only q matrix not qk.T dot product (qk.T/sqrt(dim_per_head)) (#21627)"

This reverts commit bad83008.

Fix some tiny model creation issues
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add conditional generation

* add comments

* fix bnb failing test

* fix

* fix

* fixup

Fixes #22429

* add draft changes

* fix failing wav2vec

* style

* make sure that the argument is saved + add tests

* style

* fixup

* update test

* default clean_up_tokenization_spaces to False for Bloom and Llama

* Update code based on review
Co-authored-by: Nicolas Patry <patry.nicolas@gmail.com>

* style

* quality

---------
Co-authored-by: Nicolas Patry <patry.nicolas@gmail.com>

Fix docs and doctests

* ensure causal_mask is created directly on device

* add copy tag to opt, update bart implementation

* add device to all _make_causal_mask copies

* formatting fixes

* more manual fixes due to unlinked versions of _prepare_decoder_attention_mask

Fix bug in perplexity guide calculations and update perplexity numbers.

Bump redis in /examples/research_projects/decision_transformer

Bumps [redis](https://github.com/redis/redis-py) from 4.1.4 to 4.5.3.
- [Release notes](https://github.com/redis/redis-py/releases)
- [Changelog](https://github.com/redis/redis-py/blob/master/CHANGES)
- [Commits](https://github.com/redis/redis-py/compare/v4.1.4...v4.5.3

)

---
updated-dependencies:
- dependency-name: redis
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

* [neptune] fix checkpoint bug with relative out_dir

* update imports

* reformat with black

* check neptune without imports

* fix typing-related issue

* run black on code

* use os.path.sep instead of raw \

* simplify imports and remove type annotation

* make ruff happy

* apply review suggestions

---------
Co-authored-by: Aleksander Wojnarowicz <alwojnarowicz@gmail.com>

* Initial commit

* update modeling code

* update doc

* add functions necessary

* fix impotrs

* revert changes

* fixup

* more styling to get going

* remove standalone encoder

* update code

* styling

* fix config and model

* update code and some refactoring

* make more tests pass

* Adding NLLB-200 - MoE - 54.5B for no language left behind
Fixes #21300

* fix mor common tests

* styke

* update testing file

* update

* update

* Router2 doc

* update check config with sparse layer

* add dummy router

* update current conversion script

* create on the fly conversion script

* Fixup

* style

* style 2

* fix empty return

* fix return

* Update default config sparse layers

* easier to create sparse layers

* update

* update conversion script

* update modeling

* add to toctree

* styling

* make ruff happy

* update docstring

* update conversion script

* update, will break tests but impelemting top2

* update

* ❗local groups are supported here

* ⚠️ Support for local groups is now removed ⚠️

This is because it has to work with model parallelism that we do not support

* finish simplificaiton

* Fix forward

* style

* fixup

* Update modelling and test, refactoring

* update tests

* remove final layer)norm as it is done in the FF

* routing works! Logits test added

* nit in test

* remove top1router

* style

* make sure sparse are tested. Had to change route_tokens a liottle bit

* add support for unslip models when converting

* fixup

* style

* update test s

* update test

* REFACTOR

* encoder outputs match!

* style

* update testing

* 🎉encoder and decoder logits match 🎉



* styleing

* update tests

* cleanup tests

* fix router test and CIs

* cleanup

* cleanup test styling

* fix tests

* Finally the generation tests match!

* cleanup

* update test

* style testing file

* remove script

* cleanup

* more cleanup

* nits

* update

* NLLB tokenizer is wrong and will be fixed soon

* use LongTensors

* update tests

* revert some small changes

* fix second expert sampling and batch prioritized routing

* update tests

* finish last tests

* make ruff happy

* update

* ruff again

* style

* Update docs/source/en/model_doc/nllb-moe.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Updates based on review

* style and fix import issue

* nit

* more nits

* cleanup

* styling

* update test_seconde_expert_policy

* fix name

* last nit on the markdown examples

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

* Add initial remote hardware auto-setup docs

* Fix a few typos and clarify some language

* Add missing dependency

* Update self-hosted launch script with Sylvain's comments.

* Formatting.

* Trigger CI

* Style

missing None check

* First draft

* Fix integration test

* Remove script

* Fix test and typos

* Fix one more test

* Skip tied embeddings test

* Remove line

* Address comments

* Report safetensors version in transformers-cli env

* Styling

* Trigger CI maybe

for rg to be `False`

* seq2seq trainer and training arguments accepting GenerationConfig arg

* seq2seq Trainer and training arguments docstring fixes

* Update training_args_seq2seq.py docstring
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Fixing trainer_seq2seq.py docstring
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* seq2seq trainer: legacy gen args back & GenerationConfig created at init

* Seq2seq trainer: fix in case gen_config.max_new_tokens is None
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* seq2seq trainer: adding legacy arg retrocompatibility

* seq2seq trainer and training arguments accepting GenerationConfig arg

* seq2seq Trainer and training arguments docstring fixes

* Update training_args_seq2seq.py docstring
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Fixing trainer_seq2seq.py docstring
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* seq2seq trainer: legacy gen args back & GenerationConfig created at init

* Seq2seq trainer: fix in case gen_config.max_new_tokens is None
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* seq2seq trainer: adding legacy arg retrocompatibility

* seq2seq trainer: evaluate and predict untouched

* Apply suggestions from code review
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* seq2seq trainer: adding init args, keeping IDEs hints

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

* Wav2Vec2ProcessorWithLM can return N best hypotheses now
Signed-off-by: Vladislav Sokolovskii <vladislav@parrothq.com>

* Wav2Vec2ProcessorWithLM n_best cannot be None
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Batch decoding can return  N best hypotheses now

batch_decode was extended with the same functionality as decode
function, N best hypotheses per sample can be returned
Signed-off-by: Vladislav Sokolovskii <vladislav@parrothq.com>

---------
Signed-off-by: Vladislav Sokolovskii <vladislav@parrothq.com>
Co-authored-by: Vladislav Sokolovskii <vladislav@parrothq.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

balanced 8bit memory

* updated toctree

* added and translated mdx documents

Edited one line in src/transormers/generation/utils.py. Changed dist.world_size() to dist.get_world_size() since world_size() doesn't exist in pytorch.dist.

* missing cmake

* more cmake

* [safetensors] don't use in pt<1.10

* better fix