GitLab

propagate changes to more models

* fix typos and one shape comment

* fix `intermediade` typo in jamba

* Add AutoFeatureExtractor support to Wav2Vec2ProcessorWithLM

* update with a type filter

* add raises error test

* fix added test

* fix for custom pipeline configuration

* fix for custom pipelines

* remove extra exception

* added test for custom pipelines extra tag

* format with ruff

* limit extra tag for first time only

* format with ruff

* improve tests for custom pipelines

* Fix similar bug in processor (related to #30193)

* Reformat processing_git.py to comply with ruff formatting

Fix num_hidden_layers in initialization

Originally, the initialization was using config.num_layers instead of config.num_hidden_layers. This fixes that.

* compute num_frames in WhisperFeatureExtractor

* add return_num_frames in WhisperFeatureProcessor + adapt pipeline

* return_timestamps renaming + pipeline fix

* fix

* fix

* fix

* add tests

* Update src/transformers/models/whisper/feature_extraction_whisper.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* apply review changes

* fix

* Update src/transformers/models/whisper/feature_extraction_whisper.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* Update tests/models/whisper/test_modeling_whisper.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* apply review

* fix

* review changes

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

* make style quality

* EXPECTED_OUTPUT in single line

* small numpy->torch fix

* fix

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

Update modeling_deformable_detr.py

* update docs with batch ex

* Update docs/source/en/model_doc/llava_next.md
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* accept nested list of img

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Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* add torch.compile dynamic support

* Add SDPA dynamic shapes compile test & improve SDPA comment

* comment consistency

* Update Dockerfile

* Update docker/transformers-quantization-latest-gpu/Dockerfile

* Add MistralForTokenClassification

* Add tests and docs

* Add token classification for Mixtral and Qwen2

* Save llma for token classification draft

* Add token classification support for Llama, Gemma, Persimmon, StableLm and StarCoder2

* Formatting

* Add token classification support for Qwen2Moe model

* Add dropout layer to each ForTokenClassification model

* Add copied from in tests

* Update src/transformers/models/llama/modeling_llama.py
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Propagate suggested changes

* Style

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Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* add interpolation of positional encoding support to swin

* add style changes

* use default image processor and make size a dictionary
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

* Refactor image size validation logic when interpolation is disabled
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* remove asserts in modeling
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* add dynamic resolution input support to swinv2

* change size to ensure interpolation encoding path is triggered

* set interpolate_pos_encoding default value to False
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* set interpolate_pos_encoding default value to False

* add dynamic resolution input to donut swin

* add dynamic resolution input to maskformer swin

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

* Add resize and pad strategy

* Merge get_size functions

* Add pad_size + tests to object detection models

* Fixup

* Update docstrings

* Fixup

* update release script

* update release script

* Support arbitrary processor

* fix

* nit

* update

* nit

* nit

* fix and revert

* add a small test

* better check

* fixup

* bug so let's just use class for now

* oups

* .

* [whisper] fix multilingual fine-tuning

* config ids as well

* fix: missing dependencies

* fix: image classification dependencies

* added_no_split_modules

* added LlavaNextVisionAttention to _no_split_modules

* Remove deprecated logic and warnings

* Add back some code that seems to be important...

* Let's just add all he nllb stuff back; removing it is a bit more involved

* Remove kwargs

* Remove more kwargs

* add llama logits test

* fix

* fix tests
"

"

* fix for a10

* format

* format

* fix

* [run-slow] remove fmt: skip

* Your commit message

* test commit

* Revert "test commit"

This reverts commit b66e01e55f5e31d4c0479cac4bcacc0f123dc9d2.

* [run-slow]llama

* Update tests/models/llama/test_modeling_llama.py

* [run-slow]llama

* empty commit

* Fix VideoLlava imports

* Update dummy objects

Reverting to 2.2.1

fix model id in docs

* fix

* [run-slow] gemma

* add test

* add `test_compile_static_cache`

* fix

* style

* remove subprocess

* use attribute

* fix

* style

* update

* [run-slow] dbrx,gemma,jetmoe,phi3,recurrent_gemma

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

* disable fa

* disable fa

* update warning

* update warning

* jamba cache

* new flag

* generate exception

* Add resources

* Address comment

* Address comments

* Update docs/source/en/model_doc/idefics2.md
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update figure

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

remove blank line (+1 squashed commit)
Squashed commits:
[24ccd2061] [run-slow]vit_msn,vision_encoder_decoder (+24 squashed commits)
Squashed commits:
[08bd27e7a] [run-slow]vit_msn,vision_encoder_decoder
[ec96a8db3] [run-slow]vit_msn
[ead817eca] fix vit msn multi gpu
[d12cdc8fd] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos
[3fdbfa88f] doc
[a3ff33e4a] finish implementation
[e20b7b7fb] Update test_modeling_common.py
[e290c5810] Update test_modeling_flax_common.py
[d3af86f46] comment
[ff7dd32d8] more comments
[59b137889] suggestion
[7e2ba6d67] attn_implementation as attribute of the class
[fe66ab71f] minor
[38642b568] Apply suggestions from code review

Accept comments
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[22cde7d52] Update tests/test_modeling_common.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[48e137cc6] Update tests/test_modeling_common.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[99f4c679f] Update tests/test_modeling_common.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[96cf20a6d] Update src/transformers/models/vit_msn/modeling_vit_msn.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[c59377d23] Update src/transformers/models/vit_mae/modeling_vit_mae.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[b70a47259] Update tests/models/vision_text_dual_encoder/test_modeling_vision_text_dual_encoder.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
[00c84d216] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos
[61f00ebb0] all tests are passing locally
[e9e0b82b7] vision encoder/decoder
[4d5076b56] test-vision (+20 squashed commits)
Squashed commits:
[d1add8db9] yolo
[9fde65716] fix flax
[986566c28] minor
[ca2f21d1f] vit
[3333efd7a] easy models change
[ebfc21402] [run-slow]audio_spectrogram_transformer,deit,vision_encoder_decoder,vision_text_dual_encoder,vit,vit_hybrid,vit_mae,vit_msn,videomae,yolos
[b8b8603ed] [run-slow]vision_encoder_decoder,vision_text_dual_encoder,yolos
[48ecc7e26] all tests are passing locally
[bff7fc366] minor
[62f88306f] fix yolo and text_encoder tests
[121507555] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae
[1064cae0a] [run-slow]vision_encoder_decoder,vision_text_dual_encoder,yolos
[b7f52ff3a] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae
[cffaa10dd] fix-copies
[ef6c511c4] test vit hybrid
[7d4ba8644] vit hybrid
[66f919033] [run-slow]audio_spectrogram_transformer,deit,vit,vit_hybrid,vit_mae,vit_msn,videomae
[1fcc0a031] fixes
[cfde6eb21] fixup
[e77df1ed3] all except yolo end encoder decoder (+17 squashed commits)
Squashed commits:
[602913e22] vit + vit_mae are working
[547f6c4cc] RUN_SLOW=1 pytest tests/models/audio_spectrogram_transformer/ tests/models/deit/ tests/models/videomae/  passes
[61a97dfa9] it s the complete opposite...
[aefab37d4] fix more tests
[71802a1b9] fix all torch tests
[40b12eb58] encoder - decoder tests
[941552b69] slow decorator where appropriate
[14d055d80] has_attentions to yolo and msn
[3381fa19f] add correct name
[e261316a7] repo consistency
[31c6d0c08] fixup
[9d214276c] minor fix
[11ed2e1b7] chore
[eca6644c4] add sdpa to vit-based models
[cffbf390b] make fix-copies result
[6468319b0] fix style
[d324cd02a] add sdpa for vit
Co-authored-by: Liubov Yaronskaya <luba.yaronskaya@gmail.com>

* First draft

* Update docstring

* Fix llama model forward function with attention=True, same-length encoded sequence.

* Fix style

* propagate fix to modeling_cohere, gemma, dbrx, and olmo (which copy the same sdpa masking logic from llama)

* Fix style

* ignore unnecessary sdpa mask converter when output_attentions=True

* add tests checking sdpa and eager outputs match when output_attentions=True

* Split if statements in two lines
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Fix formatting

* Add fix to new jetmoe model

* Add missing output_attentions argument to jetmoe mask creation

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

2.3
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* add  method

* change method name

* more comments

* Apply suggestions from code review
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fixup

* add docstrings and fix comment

* warn users on the de-quantized dtype

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

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

* final suggestion - use private method

---------
Co-authored-by: Marc Sun <57196510+SunMarc@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Correctly set the moel name for the doc file

* Fix up

* Better llava next.
- Batched forward with multiple image of different sizes (number of patches).
- Support training, for cases without any image.
- Support multi-image in same sequence. e.g: ["<image> <image> the first image is a dog while the second is a cat", "<image> <image> <image> <image> these 4 image are..."]

Current limitation:
- Haven't done testing
- Only support right padding (for training)
- left padding (batched generation) is not ready yet.
- PR not ready.

* fix bugs in batched generation

* add tests

* fix batch-gen bugs, left-padding positions and incorrect attention mask

* remove better modeling llava

* fix formatting

* fix test

* fix test

* fix testing

* fix test

* fix formatting

* Update src/transformers/models/llava_next/modeling_llava_next.py

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

* Update modeling_llava_next.py

remove assert

* fix bug modeling_llava_next.py

* update modeling

* fix bugs

* fix format

* fix error

* fix new_token_positions

* Update modeling_llava_next.py

* update formatting

* add args

* removecomments

* add slow tests for batched inference

* failing tf/flax tests

* this one ic correct

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

* fix docs

* make fixup

* more fixup

* add test for batch equivalence

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

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

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

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

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

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

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

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

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

* pr comments

* hardcode padding side for bs=1

* update

* [run-slow] llava_next

* [run-slow] llava_next

* make fix-copies

---------
Co-authored-by: NGUYEN, Xuan Phi <x.nguyen@alibaba-inc.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: raushan <raushan@huggingface.co>
Co-authored-by: Raushan Turganbay <raushan.turganbay@alumni.nu.edu.kz>

The function checks for None in its first line.

* Jamba - Skip 4d custom attention mask test

* Skip assistant greedy test