GitLab

* Fall back to pytorch model for now

* Fix up

Add support for loading safetensors files saved with metadata format mlx.

* flava multimodal add attn mask

* make style

* check mask is not None

Signed-off-by: Ashok Pon Kumar Sree Prakash <ashokponkumar@gmail.com>

Revert "Automatic safetensors conversion when lacking these files (#29390)"

This reverts commit a69cbf4e.

* Enable BLIP for auto VQA

* Make style

* Add VQA to BLIP pipeline tests

* Fix: Disable torch.autocast in RotaryEmbedding of Gemma and LLaMa for MPS devices

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

* Update llama ang gemma rope use cpu in mps device

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

Substantially reduce memory usage in _update_causal_mask for large batches by using .expand instead of .repeat [needs tests+sanity check] (#29413)

* try to fix gemma mem use

* fix: handle attention mask dim==2 case

* remove logits=logits.float()

* clean up + add llama

* apply formatting

* readability edit: swap order of items being multiplied

* revert change unrelated to PR

* revert black autoformat

* switch to one .to

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

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

* added the max_matching_ngram_size parameter into the GenerationConfig, for the PromptLookupCandidateGenerator

* switched back to keyword arguments

* added PromptLookupCandidateGenerator docstring for its parameters

* ruff reformat

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

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

* Fix test failure

* use item

* Fix TrainingArguments regression with torch <2.0.0 for dataloader_prefetch_factor

dataloader_prefetch_factor was added to TrainingArguments in #28498 with the default value None, but  versions of torch<2.0.0 do not accept None and will raise an error if num_workers == 0 and prefetch_factor != 2

* Add is_torch_available() check

* Use is_torch_greater_or_equal_than_2_0

add back check for dataloader_prefetch_factor

* add accelerate docs

* Apply suggestions from code review
Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com>

* Update starcoder2.md

* add correct generation

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Co-authored-by: Loubna Ben Allal <44069155+loubnabnl@users.noreply.github.com>

* add docs on exllamav2 + AWQ

* Update docs/source/en/quantization.md

* use require_torch_gpu

* enable on XPU

* fix

* Update ko _toctree.yml

* Create ko: generation_strategies.md

* Apply suggestions from code review
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

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Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

* [i18n-zh] Translate add_new_pipeline.md into Chinese

* apply suggestions from Fan-Lin

* Automatic safetensors conversion when lacking these files

* Remove debug

* Thread name

* Typo

* Ensure that raises do not affect the main thread

* Update to pull function from proper lib

* Fix ruff formatting error

* Remove accidently added file

* Fix bug with passing capture_* args to neptune callback

* ruff happy?

* instantiate (frozen)set only once

* code review

* code review 2

* ruff happy?

* code review

* initial-commit

* start cleaning

* small nits

* small nits

* current updates

* add kernels

* small refactoring little step

* add comments

* styling

* nit

* nits

* Style

* Small changes

* Push dummy mambda simple slow

* nit

* Use original names

* Use original names and remove norm

* Updates for inference params

* Style nd updates

* nits

* Match logits

* Add a test

* Add expected generated text

* nits doc, imports and styling

* style

* oups

* dont install kernels, invite users to install the required kernels

* let use use the original packages

* styling

* nits

* fix some copieds

* update doc

* fix-copies

* styling done

* nits

* fix import check

* run but wrong cuda ress

* mamba CUDA works :)

* fix the fast path

* config naming nits

* conversion script is not required at this stage

* finish fixing the fast path: generation make sense now!

* nit

* Let's start working on the CIs

* style

* better style

* more nits

* test nit

* quick fix for now

* nits

* nit

* nit

* nit

* nits

* update test rest

* fixup

* update test

* nit

* some fixes

* nits

* update test values

* fix styling

* nit

* support peft

* integrations tests require torchg

* also add slow markers

* styling

* chose forward wisely

* nits

* update tests

* fix gradient checkpointing

* fixup

* nit

* fix doc

* check copies

* fix the docstring

* fix some more tests

* style

* fix beam search

* add init schene

* update

* nit

* fix

* fixup the doc

* fix the doc

* fixup

* tentative update but slow is no longer good

* nit

* should we always use float32?

* nits

* revert wrong changes

* res in float32

* cleanup

* skip fmt for now

* update generation values

* update test values running original model

* fixup

* update tests + rename inference_params to cache_params + make sure training does not use cache_params

* small nits

* more nits

* fix final CIs

* style

* nit doc

* I hope final doc nits

* nit

* 🫠

* final touch!

* fix torch import

* Apply suggestions from code review
Co-authored-by: Lysandre Debut <hi@lysand.re>

* Apply suggestions from code review

* fix fix and fix

* fix base model prefix!

* nit

* Update src/transformers/models/mamba/__init__.py

* Update docs/source/en/model_doc/mamba.md
Co-authored-by: Lysandre Debut <hi@lysand.re>

* nit

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Co-authored-by: Lysandre Debut <hi@lysand.re>

* fix udop imports

* sort imports

* style

* revert with RP

* nit

* exact revert

* update

* ...

* nits

* arf

* 🧼

* beat the last guy

* style everyone

* use torch_device

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

* fix style

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

Update starcoder2 paper link

* fix mal_length for blip

* update also min length

* fixes

* add a comment

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

* Update src/transformers/models/blip_2/modeling_blip_2.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* make fixup

* fix length when user passed

* remove else

* remove brackets

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Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* added exllama kernels support for awq models

* doc

* style

* Update src/transformers/modeling_utils.py
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

* refactor

* moved exllama post init to after device dispatching

* bump autoawq version

* added exllama test

* style

* configurable exllama kernels

* copy exllama_config from gptq

* moved exllama version check to post init

* moved to quantization dockerfile

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Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>

fix the bitwise or issue

* torchscript and trainer md es translation

* corrected md es files and even corrected spelling in en md

* made es corrections to trainer.md

* deleted entrenamiento... title on yml

* placed entrenamiento in right place

* First draft

* More improvements

* More improvements

* More fixes

* Fix copies

* More improvements

* More fixes

* More improvements

* Convert checkpoint

* More improvements, set up tests

* Fix more tests

* Add UdopModel

* More improvements

* Fix equivalence test

* More fixes

* Redesign model

* Extend conversion script

* Use real inputs for conversion script

* Add image processor

* Improve conversion script

* Add UdopTokenizer

* Add fast tokenizer

* Add converter

* Update README's

* Add processor

* Add fully fledged tokenizer

* Add fast tokenizer

* Use processor in conversion script

* Add tokenizer tests

* Fix one more test

* Fix more tests

* Fix tokenizer tests

* Enable fast tokenizer tests

* Fix more tests

* Fix additional_special_tokens of fast tokenizer

* Fix tokenizer tests

* Fix more tests

* Fix equivalence test

* Rename image to pixel_values

* Rename seg_data to bbox

* More renamings

* Remove vis_special_token

* More improvements

* Add docs

* Fix copied from

* Update slow tokenizer

* Update fast tokenizer design

* Make text input optional

* Add first draft of processor tests

* Fix more processor tests

* Fix decoder_start_token_id

* Fix test_initialization

* Add integration test

* More improvements

* Improve processor, add test

* Add more copied from

* Add more copied from

* Add more copied from

* Add more copied from

* Remove print statement

* Update README and auto mapping

* Delete files

* Delete another file

* Remove code

* Fix test

* Fix docs

* Remove asserts

* Add doc tests

* Include UDOP in exotic model tests

* Add expected tesseract decodings

* Add sentencepiece

* Use same design as T5

* Add UdopEncoderModel

* Add UdopEncoderModel to tests

* More fixes

* Fix fast tokenizer

* Fix one more test

* Remove parallelisable attribute

* Fix copies

* Remove legacy file

* Copy from T5Tokenizer

* Fix rebase

* More fixes, copy from T5

* More fixes

* Fix init

* Use ArthurZ/udop for tests

* Make all model tests pass

* Remove UdopForConditionalGeneration from auto mapping

* Fix more tests

* fixups

* more fixups

* fix the tokenizers

* remove un-necessary changes

* nits

* nits

* replace truncate_sequences_boxes with truncate_sequences for fix-copies

* nit current path

* add a test for input ids

* ids that we should get taken from c9f7a32f57440d90ff79890270d376a1cc0acb68

* nits converting

* nits

* apply ruff

* nits

* nits

* style

* fix slow order of addition

* fix udop fast range as well

* fixup

* nits

* Add docstrings

* Fix gradient checkpointing

* Update code examples

* Skip tests

* Update integration test

* Address comment

* Make fixup

* Remove extra ids from tokenizer

* Skip test

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

* Update year

* Address comment

* Address more comments

* Address comments

* Add copied from

* Update CI

* Rename script

* Update model id

* Add AddedToken, skip tests

* Update CI

* Fix doc tests

* Do not use Tesseract for the doc tests

* Remove kwargs

* Add original inputs

* Update casting

* Fix doc test

* Update question

* Update question

* Use LayoutLMv3ImageProcessor

* Update organization

* Improve docs

* Update forward signature

* Make images optional

* Remove deprecated device argument

* Add comment, add add_prefix_space

* More improvements

* Remove kwargs

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

* Update ms_deform_attn_cuda.cu

* Update ms_deform_attn_cuda.cuh

* Update modeling_deformable_detr.py

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

* Update modeling_deformable_detr.py

* python utils/check_copies.py --fix_and_overwrite

* Fix dtype missmatch error

* Update test_modeling_deformable_detr.py

* Update test_modeling_deformable_detr.py

* Update modeling_deformable_detr.py

* Update modeling_deformable_detr.py

* Support DeformableDETR with bfloat16

* Add test code

* Use AT_DISPATCH_FLOATING_TYPES_AND2

Use AT_DISPATCH_FLOATING_TYPES_AND2

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

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

* Fix not found require_torch_bf16 function

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