GitLab

* device-map siglip

* move split modules to PretrainedSigLip

fix common doc typos
Co-authored-by: Jiahui Wei <jiahui.wei@tusen.ai>

* Fix accelerate tests

* fix clip

* skip dbrx tests

* fix GPTSan

* fix M2M100Model

* same fix as jamba

* fix mt5

* Fix T5Model

* Fix umt5 model

* fix switch_transformers

* fix whisper

* fix gptsan again

* fix siglip recent test

* skip siglip tests

* wrong place fixed

* update ruff version

* fix research projects

* Empty

* Fix errors

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

* add new model like

* add state dict slicing + new model config

* update palma config and weights, passes vision activations

* fix

* update

* reorder loading/unpacking

* clean up

* add debug statements

* change device

* fix

* debugging

* fix noncausal mask

* fixup sdpa + causal mask

* fix activation function

* remove debug before changing modeling file

* add variants

* debug attention mask in generate

* revert to non-debug sdpa

* revert gemma modifications

* add custom language modeling

* use Processor

* add language modeling file to init

* try thin wrapper around generate

* Update

* update mask

* breakpoints galore

* remove conflict

* switch to left-padding

* add incomplete model doc

* add paligemma global files

* batch rename paligemma

* make generation match outputs and captioning

* style

* style

* remove copied from + doc

* remove more copied from

* remove copy from projector

* minor fix

* update config and style

* add readme - dummy

* CORRECT image captioning

* moving to args

* add siglip proper + fix merging image + text features

* take update_causal_mask from upstream

* remove breakpoint

* leverage AutoModel

* fix input_ids slicing

* make siglip head conditional

* remove encoder_decoder value

* remove unneeded modeling file

* add commented 4d attention mask

* FIXED generation with 4D mask

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

* fix left padding detection

* shuffle order of verifications

* fix missing labels for training

* fix

* vectorize merging of features, improve slicing

* improve testing before conversion

* handle merging in processor

* image token index depends on checkpoint

* add variants, save processor too

* save processors, base tokenizer off spm file

* expand model embeddings due to additional image token

* pass image processing args

* add convert rgb to siglip processor

* add \n token separately

* fix tokenizer and prompts

* fix docstrings

* change to camel

* fix casing

* debug pos_ids and sdpa

* pass and use cache_position

* add flag for newline tokenization

* Update src/transformers/models/paligemma/processing_paligemma.py
Co-authored-by: Merve Noyan <merveenoyan@gmail.com>

* simplify conversion script

* add copied from

* add precision to conversion script

* Update src/transformers/models/paligemma/modeling_paligemma.py
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* clean up

* Shift attention mask from `1:`

After discussion with @molbap

* add docs, fix quality

* quality, tied weights inheritance, and logits/label alignment

* fix more tests

* pass attn_implementation to language model correctly

* add SiglipVisionTransformer to no split modules

* skip paligemma test for sdpa dispatch to flash

* skip incompatible tests

* quality

* [broken archive maps]

* Apply suggestions

- remove archive lists
- style
- take shape of inputs_embeds for batch
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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

* simplify conversion script

* add suggestions

* add suggestions

* add copied from

* fix

* move labels out

* revert

* fix

* remove placeholder labels if None

* use cache_position

* fix quality + docstrings

* fix quality

* fix paligemma 4d gemma mask incompatibility

* fix config docstring

* fix query and attn_mask dtype

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Co-authored-by: ArthurZucker <arthur.zucker@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Merve Noyan <merveenoyan@gmail.com>
Co-authored-by: Pedro Cuenca <pedro@huggingface.co>

* [test_all] Remove all imports

Remove remaining ARCHIVE MAPS

Remove remaining PRETRAINED maps

* review comments

* [test_all] empty commit to trigger tests

* Add interpolate positional encoding to siglip

* Change # of patches for siglip interpolation test

* fix formatting

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

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

* Fix SigLip classification doctest

* Remove extra line

* Update src/transformers/models/siglip/modeling_siglip.py

* fix clip's/siglip's _init_weights to reflect linear layers in "for image classification"

* trigger slow tests

* fix

* update

* update

* fix

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

* [test_all] Remove static pretrained maps from the library's internals

* Deprecate archive maps instead of removing them

* Revert init changes

* [test_all] Deprecate instead of removing

* [test_all] PVT v2 support

* [test_all] Tests should all pass

* [test_all] Style

* Address review comments

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

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

* [test_all] trigger tests

* [test_all] LLAVA

* [test_all] Bad rebase

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

* First draft

* Add CLIPForImageClassification

* Remove scripts

* Fix doctests

* Changed type hinting for all attention inputs to 'Optional[Tuple[torch.FloatTensor,...]] = None'

* Fixed the ruff formatting issue

* fixed type hinting for all hidden_states to 'Optional[Tuple[torch.FloatTensor, ...]] = None'

* Changed type hinting in these 12 scripts modeling_dpr.py,modeling_nat.py,idefics/vision.py,modeling_tf_dpr.py,modeling_luke.py,modeling_swin.py,modeling_tf_swin.py,modeling_blip.py,modeling_tf_blip.py,modeling_donut_swin.py,modeling_dinat.py,modeling_swinv2.py

* test fail update

* fixed type hinting for these 15 scripts modeling_xlnet.py,modeling_tf_xlnet.py,modeling_led.py,modeling_tf_led.py,modleing_rwkv.py,modeling_dpt.py,modeling_tf_cvt.py,modeling_clip.py,modeling_flax_clip.py,modeling_tf_clip.py,modeling_longformer.py,modeling_tf_longformer.py,modeling_siglip.py,modeling_clap.py,modeling_git.py

* Changed type hinting in these 12 scripts modeling_dpr.py,modeling_nat.py,idefics/vision.py,modeling_tf_dpr.py,modeling_luke.py,modeling_swin.py,modeling_tf_swin.py,modeling_blip.py,modeling_tf_blip.py,modeling_donut_swin.py,modeling_dinat.py,modeling_swinv2.py

* test fail update

* Removed the myvenv file

* Fixed type hinting for these 8 scripts modeling_tvlt.py,modeling_sam.py,modeling_tf_sam.py,modeling_tvp.py,modeling_rag.py,modeling_tf_rag.py,modeling_tf_xlm.py,modeling_xlm.py

First draft

* Add first draft

* Use appropriate gelu function

* More improvements

* More improvements

* More improvements

* Convert checkpoint

* More improvements

* Improve docs, remove print statements

* More improvements

* Add link

* remove unused masking function

* begin tokenizer

* do_lower_case

* debug

* set split_special_tokens=True

* Remove script

* Fix style

* Fix rebase

* Use same design as CLIP

* Add fast tokenizer

* Add SiglipTokenizer to init, remove extra_ids

* Improve conversion script

* Use smaller inputs in conversion script

* Update conversion script

* More improvements

* Add processor to conversion script

* Add tests

* Remove print statements

* Add tokenizer tests

* Fix more tests

* More improvements related to weight initialization

* More improvements

* Make more tests pass

* More improvements

* More improvements

* Add copied from

* Add canonicalize_text

* Enable fast tokenizer tests

* More improvements

* Fix most slow tokenizer tests

* Address comments

* Fix style

* Remove script

* Address some comments

* Add copied from to tests

* Add more copied from

* Add more copied from

* Add more copied from

* Remove is_flax_available

* More updates

* Address comment

* Remove SiglipTokenizerFast for now

* Add caching

* Remove umt5 test

* Add canonicalize_text inside _tokenize, thanks Arthur

* Fix image processor tests

* Skip tests which are not applicable

* Skip test_initialization

* More improvements

* Compare pixel values

* Fix doc tests, add integration test

* Add do_normalize

* Remove causal mask and leverage ignore copy

* Fix attention_mask

* Fix remaining tests

* Fix dummies

* Rename temperature and bias

* Address comments

* Add copied from to tokenizer tests

* Add SiglipVisionModel to auto mapping

* Add copied from to image processor tests

* Improve doc

* Remove SiglipVisionModel from index

* Address comments

* Improve docs

* Simplify config

* Add first draft

* Make it like mistral

* More improvements

* Fix attention_mask

* Fix output_attentions

* Add note in docs

* Convert multilingual model

* Convert large checkpoint

* Convert more checkpoints

* Add pipeline support, correct image_mean and image_std

* Use padding=max_length by default

* Make processor like llava

* Add code snippet

* Convert more checkpoints

* Set keep_punctuation_string=None as in OpenCLIP

* Set normalized=False for special tokens

* Fix doc test

* Update integration test

* Add figure

* Update organization

* Happy new year

* Use AutoModel everywhere

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Co-authored-by: patil-suraj <surajp815@gmail.com>

support accelerate for clip-vision

* try to stylify using ruff

* might need to remove these changes?

* use ruf format andruff check

* use isinstance instead of type comparision

* use # fmt: skip

* use # fmt: skip

* nits

* soem styling changes

* update ci job

* nits isinstance

* more files update

* nits

* more nits

* small nits

* check and format

* revert wrong changes

* actually use formatter instead of checker

* nits

* well docbuilder is overwriting this commit

* revert notebook changes

* try to nuke docbuilder

* style

* fix feature exrtaction test

* remve `indent-width = 4`

* fixup

* more nits

* update the ruff version that we use

* style

* nuke docbuilder styling

* leve the print for detected changes

* nits

* Remove file I/O
Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com>

* style

* nits

* revert notebook changes

* Add # fmt skip when possible

* Add # fmt skip when possible

* Fix

* More `  # fmt: skip` usage

* More `  # fmt: skip` usage

* More `  # fmt: skip` usage

* NIts

* more fixes

* fix tapas

* Another way to skip

* Recommended way

* Fix two more fiels

* Remove asynch
Remove asynch

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Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com>

* [FA2 Bart] Add FA2 to all Bart-like

* better

* Refactor attention mask

* remove all customized atteniton logic

* format

* mass rename

* replace _expand_mask

* replace _expand_mask

* mass rename

* add pt files

* mass replace & rename

* mass replace & rename

* mass replace & rename

* mass replace & rename

* Update src/transformers/models/idefics/modeling_idefics.py

* fix more

* clean more

* fix more

* make style

* fix again

* finish

* finish

* finish

* finish

* finish

* finish

* finish

* finish

* finish

* finish

* Apply suggestions from code review

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

* small fix mistral

* finish

* finish

* finish

* finish

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

* fix

* more fixes

* fix other models

* fix long t5

* use `gradient_checkpointing_func` instead

* fix copies

* set `gradient_checkpointing_func` as a private attribute and retrieve previous behaviour

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

* replace it with `is_gradient_checkpointing_set`

* remove default

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

* fixup

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

* v1

* fix

* remove `create_custom_forward`

* fixup

* fixup

* add test and fix all failing GC tests

* remove all remaining `create_custom_forward` methods

* fix idefics bug

* fixup

* replace with `__call__`

* add comment

* quality

* fix

* fix

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

* fix: cast input pixels to appropriate dtype for image_to_text tasks

* fix: add casting to pixel inputs of additional models after running copy checks

* fix

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

* Update modeling_llama.py

Removing unnecessary `device=device`

* fix in all occurrences of _make_causal_mask

* [modeling_clip.py] improve readability

* apply to other models

* fix

* Preliminary work on some models

* Fix test load missing and make sure nonpersistent buffers are tested

* Always ignore nonpersistent buffers if in state_dict

* Treat models

* More models

* Treat remaining models

* Fix quality

* Fix tests

* Remove draft

* This test is not needed anymore

* Fix copies

* Fix last test

* Newly added models

* Fix last tests

* Address review comments

Revert "Fix gradient checkpointing + fp16 autocast for most models (#24247)"

This reverts commit 285a4801.

* fix gc bug

* continue PoC on OPT

* fixes

* :exploding_head:

* fix tests

* remove pytest.mark

* fixup

* forward contrib credits from discussions

* forward contrib credits from discussions

* reverting changes on untouched files.

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Co-authored-by: zhaoqf123 <zhaoqf123@users.noreply.github.com>
Co-authored-by: 7eu7d7 <7eu7d7@users.noreply.github.com>

* Update language_modeling.py

in "class TextDatasetForNextSentencePrediction(Dataset)", double considering "self.tokenizer.num_special_tokens_to_add(pair=True)" 

so, i remove self.block_size, and add parameter for "def create_examples_from_document". like "class LineByLineWithSOPTextDataset" do

* Update language_modeling.py

* Fix URL in comment for contrastive loss function

use _make_causal_mask in clip models

* Patching clip model to create mask tensor on the device

* Addressing PR's comments

* Addressing PR's comments

* Addressing PR's comments

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Co-authored-by: Shanmugam Ramasamy <shanmugamr@shanmugamr-mlt.client.nvidia.com>

* fix

* fix

* make style

* For CLIP

* For OwlViT

* For XCLIP

* For CLIPSeg

* For GroupViT

* fix docstrings

* fix docstrings

* For AltCLIP

* For ChineseCLIP

* For Blip

* For GiT

* make style

* update

* update

* update

* fix

* fix

* fix

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

* Clean all models

* Style

* Last to remove

* address review comments

* Address review comments

* Update docs examples FE -> IP

* Remove _IMAGE_PROCESSOR_FOR_DOC

Use config.num_channels in CLIP-like modeling files
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* [clip] fix error message

* sync

* fix 1

* fix 2

* fix 3

* fix 4
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* allow loading projection in text and vision model

* begin tests

* finish test for CLIPTextModelTest

* style

* add slow tests

* add new classes for projection heads

* remove with_projection

* add in init

* add in doc

* fix tests

* fix some more tests

* fix copies

* fix docs

* remove leftover from fix-copies

* add the head models in IGNORE_NON_AUTO_CONFIGURED

* fix docstr

* fix tests

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* add docstr for models
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* create the arange tensor on device for enabling CUDA-Graph at higher-performace for SD

* sync
Co-authored-by: Stas Bekman <stas@stason.org>

* add first generation tutorial

* uP

* [Clip] Add text model to device map