GitLab

* fix merging

* make chameleon conditional

* Squashed commit of the following:

commit 102842cd477219b9f9bcb23a0bca3a8b92bd732f
Author: Pavel Iakubovskii <qubvel@gmail.com>
Date:   Fri Jul 12 18:23:52 2024 +0000

    Add model-specific sdpa tests

commit 60e4c88581abf89ec098da84ed8e92aa904c997d
Author: Pavel Iakubovskii <qubvel@gmail.com>
Date:   Fri Jul 12 18:20:53 2024 +0000

    Add fallback to eager (expensive operation)

commit c29033d30e7ffde4327e8a15cbbc6bee37546f80
Author: Pavel Iakubovskii <qubvel@gmail.com>
Date:   Thu Jul 11 17:09:55 2024 +0000

    Fix attn_implementation propagation

commit 783aed05f0f38cb2f99e758f81db6838ac55b9f8
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Sat May 25 09:05:27 2024 +0530

    style

commit e77e703ca75d00447cda277eca6b886cd32bddc0
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Sat May 25 09:04:57 2024 +0530

    add comment to explain why I had to touch forbidden codebase.

commit ab9d8849758e7773a31778ccba71588d18552623
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Sat May 25 09:03:02 2024 +0530

    fix: flax attribute access.

commit c570fc0abf9d1bd58c291aae3c7e384f995996d2
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Sat May 25 08:23:54 2024 +0530

    fix tensorflow attribute name.

commit 32c812871cfdb268d8a6e3e2c61c5c925c8ed47e
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Sat May 25 07:57:10 2024 +0530

    fix attribute access.

commit 4f41a0138b6c417aed9c9332278f8bcd979cb7c2
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Sat May 25 07:44:02 2024 +0530

    _from_config.

commit 35aed64ff602422adcf41d7f677a0a24bd9eccae
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 24 18:46:52 2024 +0530

    propagation of attn_implementation.

commit 4c25c19845438b1dc1d35a5adf9436151c8c5940
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 24 09:24:36 2024 +0530

    style again

commit 5f7dc5c5015c0f8116408f737e8c318d1802c80c
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 24 09:19:05 2024 +0530

    use from_config.

commit b70c409956d0359fa6ae5372275d2a20ba7e3389
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 24 09:13:43 2024 +0530

    quality

commit a7b63beff53d0fc754c6564e2a7b51731ddee49d
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 10 14:35:10 2024 +0200

    add benchmark numbers

commit 455b0eaea50862b8458c8f422b60fe60ae40fdcb
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 10 13:50:16 2024 +0200

    Revert "reflect feedback more"

    This reverts commit dc123e71eff60aae74d5f325f113d515d0d71117.

commit ca674829d28787349c2a9593a14e0f1d41f04ea4
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 10 13:50:05 2024 +0200

    Revert "fix"

    This reverts commit 37a1cb35b87acdc4cf7528b8b1ed6da27d244e52.

commit fab2dd8576c099eb1a3464958cb206a664d28247
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 10 13:47:46 2024 +0200

    fix

commit fbc6ae50fd6f2d36294d31e191761631b701d696
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 10 13:38:30 2024 +0200

    reflect feedback more

commit 87245bb020b2d60a89afe318a951df0159404fc9
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 3 08:54:34 2024 +0530

    fixes

commit 1057cc26390ee839251e7f8b3326c4207595fb23
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 3 07:49:03 2024 +0530

    don't explicit set attn_implementation in tests

commit e33f75916fc8a99f516b1cf449dbbe9d3aabda81
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 3 07:43:54 2024 +0530

    explicitly override attn_implementation in the towers.

commit 4cf41cb1bc885c39df7cb8f2a0694ebf23299235
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 3 07:38:42 2024 +0530

    import in one-line.

commit f2cc447ae9e74ccfacb448140cdf88259d4afc8c
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri May 3 07:34:58 2024 +0530

    move sdpa mention to usage tips.

commit 92884766c64dbb456926a3a84dd427be1349fa95
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Mon Apr 29 10:58:26 2024 +0530

    fix: memory allocation problem.

commit d7ffbbfe12f7750b7d0a361420f35c13e0ea787d
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Mon Apr 29 09:56:59 2024 +0530

    fix-copies

commit 8dfc3731cedd02e36acd3fe56bb2e6d61efd25d8
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Fri Apr 26 20:16:12 2024 +0530

    address arthur's comments.

commit d2ed7b4ce4ff15ae9aa4d3d0500f1544e3dcd9e9
Author: Sayak Paul <spsayakpaul@gmail.com>
Date:   Fri Apr 26 20:08:15 2024 +0530

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

commit 46e04361f37ded5c522ff05e9f725b9f82dce40e
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Wed Apr 24 09:55:27 2024 +0530

    add to docs.

commit 831629158ad40d34d8983f209afb2740ba041af2
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Wed Apr 24 09:33:10 2024 +0530

    styling.g

commit d263a119c77314250f4b4c8469caf42559197f22
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Wed Apr 24 09:15:20 2024 +0530

    up

commit d44f9d3d7633d4c241a737a1bc317f791f6aedb3
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Tue Apr 23 18:40:42 2024 +0530

    handle causal and attention mask

commit 122f1d60153df6666b634a94e38d073f3f260926
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Tue Apr 23 15:18:21 2024 +0530

    test fixes.

commit 4382d8cff6fa1dee5dbcf0d06b3e2841231e36f5
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Tue Apr 23 09:39:25 2024 +0530

    fix: scaling inside sdpa.

commit 0f629989efc48b7315cf19405a81e02955efe7e5
Author: Sayak Paul <spsayakpaul@gmail.com>
Date:   Tue Apr 23 08:14:58 2024 +0530

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

commit 14367316877dc27ea40f767ad1aee38bbc97e4ce
Author: sayakpaul <spsayakpaul@gmail.com>
Date:   Mon Apr 22 16:21:36 2024 +0530

    add: sdpa support to clip.

* Remove fallback for empty attention mask (expensive operation)

* Fix typing in copies

* Add flash attention

* Add flash attention tests

* List CLIP in FA docs

* Fix embeddings attributes and tf

* [run-slow] clip

* Update clip documentation

* Remove commented code, skip compile dynamic for CLIPModel

* Fix doc

* Fix doc 2

* Remove double transpose

* Add torch version check for contiguous()

* Add comment to test mixin

* Fix copies

* Add comment for mask

* Update docs

* [run-slow] clip

* [run-slow] clip

* [run-slow] clip

* Fix skip -> skipTest

* [run-slow] clip

* Chameleon model integration
Co-authored-by: Jacob Kahn <jacobkahn1@gmail.com>
Co-authored-by: Leonid Shamis <leonid.shamis@gmail.com>

* fix 7B, again. mask away image tokens

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

* remove pretrained_config_map

* make fixup passing up to utils/check_config_docstrings.py; vqgan moved to the modeling file

* remove tokenizer (use llama's); remove codechameleon tests

* a few copied from statements and minor changes

* copied from in ChameleonModel

* some copies in ChameleonForCausalLM

* a few more copies

* VQModel moved to ChameleonModel (as opposed to being in the processor)

* ChameleonProcessor ready

* Fix chameleon weights convert

* update conversion script

* clean-up processing

* update modeling a bit

* update

* update (throws error...)

* correct conversion ready

* fix tests

* fix docs

* docs

* ve swin norm

* fix device for vocab map

* add normalization

* update

* update script with rope rotations

* final fix on model conversion

* add slow tests

* more info in docs

* fix repo consistency tests

* fix repo tests

* fix-copies

* hope this will make CI happy

* fix for 30b model

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

* address comments

* remove assertion in conversion script

* add image processor test

* not copied

* port changes for qk layernorm

* fix-copies

* read token decorator for tests

* [run-slow] chameleon

* one more read-token

* address some comments

* qk norm changes

* tests and repo check

* moved rope permutations to conversion, YAY!

* fix past kv check

* docs

* layernorm done!

* let's be consistent in naming

* fix slow tests

* weird thing with slow CI, but let's see

* once more try

* remove past-kv as tuple following llama

* ignore

* style

---------
Co-authored-by: Pablo Montalvo <39954772+molbap@users.noreply.github.com>
Co-authored-by: ArthurZucker <arthur.zucker@gmail.com>
Co-authored-by: jacobkahn <jacobkahn1@gmail.com>
Co-authored-by: Leonid Shamis <leonid.shamis@gmail.com>
Co-authored-by: Leonid Shamis <lshamis@meta.com>
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Joao Gante <joao@huggingface.co>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

remove cuda versions when the result is the same

* 1,100%!

* Clean

* Don't touch DS

* Experiment with dtype allocation

* skip test_load_save_without_tied_weights test

* A little faster

* Include proper upscaling?

* Fixup tests

* Potentially skip?

* Let's see if this fixes git history

* Maintain new dtype

* Fin

* Rm hook idea for now

* New approach, see what breaks

* stage

* Clean

* Stash

* Should be fin now, just need to mark failing models

* Clean up

* Simplify

* Deal with weird models

* Enc/Dec

* Skip w/ reason

* Adjust test

* Fix test

* one more test

* Keep experimenting

* Fix ref

* TO REMOVE: testing feedback CI

* Right push

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

* disable

* Add new func

* Test nits from Amy

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

* Adjust comment

* Adjust comment on skip

* make private

* Fin

* Should be a not flag

* Clarify and rename test

---------
Co-authored-by: Marc Sun <marc@huggingface.co>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix prompt strip to support tensors and np arrays

* framework agnostic

* change logic check before converting prompt into list
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* adding _convert_to_list to tokenization_whisper_fast

* adding tests for prompt decoding

* adding comment
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* adding comment
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* revert minor

* make style formatting

* style formatting after update

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

* fixing _strip_prompt to handle _decode_with_timestamps

* fix copies

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

* initialized Structure

* Updated variable names

* Added Config class, basic HF setup, convert_to_hf

* Fixed Convert function, added hiera to HF files, Initilized test files

* better naming for x in forward pass

* Moved utils to hiera

* Change hiera -> hiera_model

* Fixed integration into tranformers

* Fix: Convert Checkpoint

* added documentation for hiera

* added documentation for hiera

* added Docstings to models, Transformers based changes

* make style and quality

* make style and quality

* Integration & Block tests running

* Fixed bugs

* initialized Structure

* Updated variable names

* Added Config class, basic HF setup, convert_to_hf

* Fixed Convert function, added hiera to HF files, Initilized test files

* better naming for x in forward pass

* Moved utils to hiera

* Change hiera -> hiera_model

* Fixed integration into tranformers

* Fix: Convert Checkpoint

* added documentation for hiera

* added documentation for hiera

* added Docstings to models, Transformers based changes

* make style and quality

* make style and quality

* Integration & Block tests running

* Fixed bugs

* Removed tim dependency

* added HieraBlock

* fixed: Model name

* added tests for HieraModel, HieraBlock

* fixed imports

* fixed quality & copies

* Fixes

* Update docs/source/en/model_doc/hiera.md

Fix name
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/model_doc/hiera.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update docs/source/en/model_doc/hiera.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/transformers/models/hiera/configuration_hiera.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/transformers/models/hiera/configuration_hiera.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/transformers/models/hiera/modeling_hiera.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Update src/transformers/models/hiera/modeling_hiera.py
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Fixed formatting

* Code quality & Import differences

* quality and repo-consistency fix

* fixed no torch error

* Docstring fix

* Docstring fix

* doc string fix

* fixed example usage

* Resolved issues in modeling_hiera

* Removed Hiera MAE

* Added test and resolved bug

* fixed doc string

* First commit

* Finished conversion script and model forward working

* Resolved all issues

* nits

* Improving tests

* Nits

* More nits

* Improving HieraForMaskedImageModeling

* More improvements and nits

* Fixed docstrings of outputs

* More fixes

* More imrpovments

* Updated conversion script

* Fixed docstrings

* Improved tests

* Fixed attentou outputs test

* All tests green

* Removed unnecessary file

* contribution attribution

* Resolved a few issues

* Resolved Comments

* Updated model repo id and fixed bugs

* Removed loss print

* Make tests green

* Updated docstrings

* Fix style

* Fixed num_heads in config

* Removed unnecessary video checkpoint related code in the conversion script

* Fix style

* Changed atol in conversion script

* HieraConfig

* Fix copies

* Fixed typo

* Resolved few issues

* make

* converted conv_nd -> nn.Module

* Removed video complexities

* Removed video complexities

* fix style

* Addressing comments

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

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

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

* Fix style

* Fixed tests

* Fixed typo

* Fixed interpolate test

* Made torch fx compatible

* Made sure imageprocesor is correct

* Addressed comments

* Noise directly as torch

* Remove unnecesary attr

* Added return_dit

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

* Updated checkpoints

* [run_slow] hiera

* Fixed device mismatch

* [run_slow] hiera

* Fixed GPU tests

* [run_slow] hiera

---------
Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-50.us-east-2.compute.internal>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Eduardo Pacheco <eduardo.pach@hotmail.com>
Co-authored-by: Eduardo Pacheco <69953243+EduardoPach@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

Removed duplicate field definitions in classes.

Co-authored-by: Joao Gante <joao@huggingface.co>

* fix

* fix

* fix

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

* Rebase to main

* Fix attention implementation autoset for tex and vision configs

* Fixup

* Minor fixes

* Fix copies

* Fix attention_mask for FA2

* Add eqvivalence tests for siglip

* Remove right padding test

* Uncomment flaky

* Fix import

* Add to docs

* Fix test message

* Add sdpa

* Add sdpa equivalence test

* Add siglip sdpa to docs

* Fix typing for attention output

* Add sdpa tests

* Fix signature of FA2

* Autoset attn_implementation in config

* Rename bsz -> batch_size

* Move back autoset attn method

* Mark as flaky

* Correct attention mask padding

* [run-slow] siglip

* Add FA2 and sdpa docs

* Style fix

* Remove flaky for FA2 test

* Change attention implementation set

* Change attn_implementaiton propogation

* Fix typos

* Add modality to assert message

* Add more sdpa backends in test

* [run slow] siglip

* Add math sdpa backend for all options

* [run slow] siglip

* First draft

* Add docs

* Clean up code

* Convert model

* Add image processor

* Convert Zoe_K

* More improvements

* Improve variable names and docstrings

* Improve variable names

* Improve variable names

* Replace nn.sequential

* More improvements

* Convert ZoeD_NK

* Fix most tests

* Verify pixel values

* Verify pixel values

* Add squeeze

* Update beit to support arbitrary window sizes

* Improve image processor

* Improve docstring

* Improve beit

* Improve model outputs

* Add figure

* Fix beit

* Update checkpoint

* Fix repo id

* Add _keys_to_ignore_on_load_unexpected

* More improvements

* Address comments

* Address comments

* Address comments

* Address comments

* Rename variable name

* Add backbone_hidden_size

* Vectorize

* Vectorize more

* Address comments

* Clarify docstring

* Remove backbone_hidden_size

* Fix image processor

* Remove print statements

* Remove print statement

* Add integration test

* Address comments

* Address comments

* Address comments

* Address comments

* Add requires_backends

* Clean up

* Simplify conversion script

* Simplify more

* Simplify more

* Simplify more

* Clean up

* Make sure beit is loaded correctly

* Address comment

* Address bin_configurations

* Use bin_configurations

* Convert models, add integration tests

* Fix doc test

* Address comments

* Unify regressor classes

* Clarify arguments

* Improve resize_image

* Add num_relative_features

* Address comment

* [run-slow]beit,data2vec,zoedepth

* [run-slow]beit,data2vec,zoedepth

* Address comments

* Address comment

* Address comment

* Replace nn.TransformerEncoderLayer and nn.TransformerEncoder

* Replace nn.MultiheadAttention

* Add attributes for patch transformer to config

* Add tests for ensure_multiple_of

* Update organization

* Add tests

* [run-slow] beit data2vec

* Update ruff

* [run-slow] beit data2vec

* Add comment

* Improve docstrings, add test

* Fix interpolate_pos_encoding

* Fix slow tests

* Add docstring

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

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

* Improve tests and docstrings

* Use run_common_tests

* Improve docstrings

* Improve docstrings

* Improve tests

* Improve tests

* Remove print statements

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

* Add siglip loss function

* Update docs

* Enable training tests
[experimental] enable GC training tests as it has worked for my own data

* Remove test_training* overrides to enable training tests
[run_slow] siglip

* Skip training tests for Siglip text model and ImageClassificationModel
[run_slow] siglip

* Skip GC training tests for SiglipForImageClassification

* Explicitly skip training tests for SiglipVisionModel
Add skip reason for training tests for SiglipTextModel

* Remove copied from to fix CI

* skip 3 7b tests

* fix

* fix

* fix

* [run-slow] gemma

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

* Fix init for rt-detr heads

* Fixup

* Add separate prior_prob value to config for initialization

* Add bbox init

* Change to 1 / num_labels init

* Adjust weights init test

* Fix style for test

* Fix cache and type conversion

* Add test

* Fixup

* nit

* [run slow] rt_detr

* Fix test

* Fixup

* [run slow] rt_detr

* Update src/transformers/models/rt_detr/modeling_rt_detr.py

gemma 2 slow tests

* make work with cache abstraction

* correct for static cache

* hacks for compile

* make fast

* fix

* fix pos ids

* generate

* fix sdpa

* fix sdpa cache pos

* fix fa2

* clean fa2

* integrate cache into generate

* make style

* copies

* more copies

* update eager

* update sdpa

* update fa2

* simplify

* use cache pos

* always compute cross-cache for debug

* avoid recompiles
Co-authored-by: Arthur Zucker <arthur@huggingface.co>

* fix fix

* fix fix fix

* more fix

* try encoder-decoder cache (too messy)

* revert encoder-decoder cache

* check cross-attn cache

* use enc-dec dataclass

* use richer enc-dec dataclass

* clean-up

* revert static cache changes

* small fixes

* revert to cpu flag

* fix copies

* add static slow test

* past k/v docstring

* more docstrings

* cache_position docstrings

* add to docs

* add enc-dec cache to docs

* make style

* fix after rebase

* fix beam

* style

* fix generation strategies

* fix most decoder-only tests

* style

* skip test

* more clean up

* small docstrings

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

* add todo

* only crop self-attn

* check cache in mixin

* style

* fix re-compile after rebase

* move `is_updated` logic to enc-dec wrapper

* revert back

* revert cache back

* finalise design

* fix

* fix fix

* style

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

* deprecate

* updates

* final updates

* style

* style

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

* fix: use return_dict parameter

* fix: type checks

* fix: unused imports

* update: one-line if else

* remove: recursive check

* nit

* toctree issue

* protect gemma2 tests as well

* sdpa supported

* inital commit

* Add doc

* protect?

* fixup stuffs

* update tests

* fix build documentation

* mmmmmmm config attributes

* style

* nit

* uodate

* nit

* Fix docs

* protect some stuff

---------
Co-authored-by: Lysandre <lysandre@huggingface.co>

* change anchor_image_size None for compatibility

* make fix-copies

* Skip tests properly

* [test_all]

* Add 'reason' as kwarg for skipTest

* [test_all] Fix up

* [test_all]

* Fix dtype casting in modeling_swin2sr to allow non-FP32 inference

* Fix formattting

* Fix for swinv2 too

* Update src/transformers/models/swin2sr/modeling_swin2sr.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/swinv2/modeling_swinv2.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add FP16 tests for swin2sr and swinv2

* [run_slow] swin2sr, swinv2

* [run_slow] swin2sr, swinv2

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

* fix extended attention mask

* add slow test for detection instance

* [run-slow]paligemma

* squash into single commit

* run diff once more

* docstring

* tests

* minor chnages and ready to go

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

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

* [run-slow] llava-next-video

* [run-slow] llava-next-video

* [run-slow] llava_next_video

* fix two tests

* fix slow tests

* remove logit checks due to numeric errors

* run test once more

* [run-slow] llava_next_video

* final try to pass the test

* [run-slow] llava_next_video

* [run-slow] llava_next_video

* [run-slow] llava_next_video

* style

* fix

* style

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

* [run_slow] rt_detr

* Fix positional embeddings and anchors dtypes

* [run slow] rt_detr

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

* Fixup

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

* starting support for sdpa in `gptneox` models

* small comment on tests

* fix dropout

* documentation and style

* clarify concrete paths for reference

* generalise attn projections and rope application

added head mask check to sdpa mask creation

handle sdpa memory backend bug via own version flag

* update docs and style

* move dtype casting outside of general attn_projection_and_rope function

fix flash_attn_2 stuff

* more generic attn warning if output_attns or head_mask

* simplify head mask check by moving head mask creation to a later point

* remove copied llama artifact

* remove padding_mask from attention function signature

* removing unnecessary comments, only "save" attn implementation once

* [run_slow] gpt_neox

* Add ViTImageProcessor to tests

* Correct data format

* Review comments

* squash in single commit

* add docs

* dummy obj

* more changes in diff converter

* tiny fix

* make docs happy

* skip test

* repo consistency tests

* update docstring

* style

* fix tests

* change diff imports

* [run-slow] instructblipvideo

* [run-slow] instructblipvideo

* fix tests and remove logit check

* [run-slow] instructblipvideo

* device-map siglip

* move split modules to PretrainedSigLip

* Correct @is_flaky decorator

* fill out docs string in configuration
https://github.com/huggingface/transformers/pull/29077/files/75dcd3a0e82cca36f12178b65bbd071ab7b25088#r1506391856



* reduce the input image size for the tests

* remove the unappropriate tests

* only 5 failes exists

* make style

* fill up missed architecture for object detection in docs

* fix auto modeling

* simple fix in missing import

* major change including backbone refactor and objectdetectionoutput refactor

* minor fix only 4 fails left

* intermediate fix

* revert __init__.py

* revert __init__.py

* make style

* fixes in pr_docs

* intermediate fix

* make style

* two fixes

* pass doctest

* only one fix left

* intermediate commit

* all fixed

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

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

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

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

* function class above the model definition in dice_loss

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

* simple fix

* layernorm add config.layer_norm_eps

* fix inputs_docstring

* make style

* simple fix

* add custom coco loading test in image_processor

* fix error in BaseModelOutput
https://github.com/huggingface/transformers/pull/29077#discussion_r1516657790



* simple typo

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

* intermediate fix

* fix with load_backbone format

* remove unused configuration

* 3 fix test left

* make style

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: Sounak Dey <dey.sounak@gmail.com>

* change last_hidden_state to first index

* all pass fix
TO DO: minor update in comments

* make fix-copies

* remove deepcopy

* pr_document fix

* revert deepcopy due to the issue of unexpceted behavior in decoderlayer

* add atol in final

* add no_split_module

* _no_split_modules = None

* device transfer for model parallelism

* minor fix

* make fix-copies

* fix typo

* add test_image_processor with post_processing

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

* add config in RTDETRPredictionHead

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

* set lru_cache with max_size 32

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

* add lru_cache import and configuration change

* change the order of definition

* make fix-copies

* add docs and change config error

* revert strange make-fix

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

* test pass

* fix get_clones related and remove deepcopy

* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* nit for paper section

* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* rename denoising related parameters

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* check the image transformation logic

* make style

* make style

* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* pe_encoding -> positional_encoding_temperature

* remove TODO

* Update src/transformers/models/rt_detr/image_processing_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* remove eval_idx since transformer DETR is giving all decoder output

* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* change variable name

* make style and docs import update

* Revert "Update src/transformers/models/rt_detr/image_processing_rt_detr.py"

This reverts commit 74aa3e1de0ca0cd3d354161d38ef28b4389c0eee.

* fix typo

* add postprocessing in docs

* move import scipy to top

* change varaible name

* make fix-copies

* remove eval_idx in test

* move to after first sentence

* update image_processor since box loss requires normalized one

* change appropriate name to auxiliary_outputs

* Update src/transformers/models/rt_detr/__init__.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update src/transformers/models/rt_detr/__init__.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

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

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

* make style

* remove panoptic related comments

* make style

* revert valid_processor_keys

* fix aux related test

* make style

* change origination from config to backbone API

* enable the dn_loss

* fix test and conversion

* renewal weight initialization

* change initializer_range

* make fix-up

* fix the loss issue in the auxiliary output and denoising part

* change weight loss to original RTDETR

* fix in initialization

* sync shape format of dn and aux

* make style

* stable fine-tuning and compatible conversion for resnet101

* make style

* skip input_embed

* change encoder related variable

* enable converting rtdetr_r101

* add r101 related conversion code

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

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

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

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

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

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

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

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

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

* change name _shape to _reshape

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

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

* maket style

* make fix-copies

* remove deprecated import

* more fix

* remove last_hidden_state for task-specific model

* Revert "remove last_hidden_state for task-specific model"

This reverts commit ccb7a34051d69b9fc7aa17ed8644664d3fdbdaca.

* minore change in convert

* remove print

* make style and fix-copies

* add custom rtdetr backbone for r18, r34

* remove print

* change copied

* add pad_size

* make style

* change layertype to optional to pass the CI

* make style

* add test in modeling_resnet_rt_detr

* make fix-copies

* skip tmp file test

* fix comment

* add docs

* change to modeling_resnet file format

* enabling resnet50 above

* Update src/transformers/models/rt_detr/modeling_rt_detr.py
Co-authored-by: Jason Wu <jasonkit@users.noreply.github.com>

* enable all the rtdetr model :)

* finish except CI

* add RTDetrResNetBackbone

* make fix-copies

* fix
TO DO: CI enable

* make style

* rename test

* add docs

* add special fix

* revert resnet

* Update src/transformers/models/rt_detr/modeling_rt_detr_resnet.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* add more comment

* remove swin comment

* Update src/transformers/models/rt_detr/configuration_rt_detr.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* rename convert and add verify backbone

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

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

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

* make style

* requests for docs

* more general test docs

* general script docs

* make fix-copies

* final commit

* Revert "Update src/transformers/models/rt_detr/configuration_rt_detr.py"

This reverts commit d136225cd3f64f510d303ce1d227698174f43fff.

* skip test_model_get_set_embeddings

* remove target

* add changes

* make fix-copies

* remove decoder_attention_mask

* add load_backbone function for auto_backbone

* remove comment

* fix repo name

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

* final commit

* remove unused downsample_in_bottleneck

* new test for autobackbone

* change to appropriate indices

* test fix

* fix dict in test_image_processor

* fix test

* [run-slow] rt_detr, rt_detr_resnet

* change the slow test

* [run-slow] rt_detr

* [run-slow] rt_detr, rt_detr_resnet

* make in to same cuda in CSPRepLayer

* [run-slow] rt_detr, rt_detr_resnet

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sounak Dey <dey.sounak@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Jason Wu <jasonkit@users.noreply.github.com>
Co-authored-by: ChoiSangBum <choisangbum@ChoiSangBumui-MacBookPro.local>

* PR SPLIT: moving origina changes for adding user defined symbols

* adding gemma test and generalizing gemma converter

* ruff

* update common test

* update serialization test

* deberta v2 tests updates as rust version adds '.' as a user added token, so a space is not added

* removing commented lines

* applying feedback - user only added_tokens to add and check piece.type instead of trainer_spec for user_defined_symbols

* add comment referencing sentencepiece

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

* add rwkv tests

* has_attentions set in individual tests

* First testing updating config tests

* Use run_common_tests