GitLab

* update _toctree.yml & add albert-autoformer

* Fixed typo in docs/source/ja/model_doc/audio-spectrogram-transformer.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Delete duplicated sentence docs/source/ja/model_doc/autoformer.md
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>

* Reflect reviews

* delete untranslated models from toctree

* delete all comments

* add abstract translation

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

* Add image to image pipeline

Add image to image pipeline

* remove swin2sr from tf auto

* make ImageToImage importable

* make style

make style

make style

make style

* remove tf support

* remove nonused imports

* fix postprocessing

* add important comments; add unit tests

* add documentation

* remove support for TF

* make fixup

* fix typehint Image.Image

* fix documentation code

* address review request; fix unittest type checking

* address review request; fix unittest type checking

* make fixup

* address reviews

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

* enhance docs

* make style

* make style

* improve docetest time

* improve docetest time

* Update tests/pipelines/test_pipelines_image_to_image.py
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* Update tests/pipelines/test_pipelines_image_to_image.py
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* make fixup

* undo faulty merge

* undo faulty merge

* add image-to-image to test pipeline mixin

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

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

* improve docs

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Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Add auto model for spectrogram/waveform

* Add doc and install

* Add dummy objects

* Did I miss anything?

* fix

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

* [AutoModel] Add AutoModelForTextEncoding

* add mt5

* add other models

* add to docs

* fix tf imports

* add tf to docs / init

* up

* fix inits

* add to dummy objects

* Rename index.mdx to index.md

* With saved modifs

* Address review comment

* Treat all files

* .mdx -> .md

* Remove special char

* Update utils/tests_fetcher.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

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Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* expose

* style

* add dummy object

* amazed by the quality of transformers CI

Adds AutoModelForZeroShotImageClassification to transformers

* add flax whisper implementation

* rever change to setup

* remove unused imports

* revert generation changes

* flax whisper docs

* docs

* import order

* import sorting

* isort

* add dummy objects

* doc formatting

* formatting

* remove trailing whitespaces

* fix flax whisper docs

* add generation logic to unlock flax whisper

* remove scans

* give credits to Flax Bart implementation

* remove unused imports

* add license

* remove assert

* more credits to Bart

* fix style

* formatting

* support left padding

* add flax whisper generation test

* remove copied from comments whenever not a full copy

* fix docstrings for logits processors

* revert change to FlaxForceTokensLogitsProcessor

* revert doc changes

* improve generation docs

* reorganize

* formatting

* cleanup docs

* add tests

* handle empty list case

* fix forced decoder ids in flax tests

* add flax whisper to inits

* upate dummy objects

* docs for FlaxAutoModelForSpeechSeq2Seq

* fix decoder_position_ids computation in pretrained model decode/__call__ fns

* add Copied from statements as necessary

* compute position_ids only in __call__ and decode methods of pretrained model subclasses

* improve readabilityof compute positional embeddings

* check dimensionality of input_features instead of hidden_states

* copied from statement for init_cache

* formatting

* fix copies

* fix copies

* pass attention mask to encoder layers

* fix decoder module outputs

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

* smaller flax model for whisper test

* Update src/transformers/generation/flax_utils.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/whisper/modeling_flax_whisper.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/models/whisper/test_modeling_flax_whisper.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* Update src/transformers/models/whisper/modeling_flax_whisper.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* bias cleanup

* doc fix

* align style for force tokens processor

* readability

* fix input shape in tests

* revert FlaxGenerationMixin docstring

* formatting

* fix tests

* fix imports

* consistent encoder hidden states

* consistent hidden states

* input shapes

* typo

* partial class trick

* partial class for input shape

* base_class with correct input shape

* partial base classes

* match by name

* set main_input_name

* compare on names

* formatting

* remove unused import

* safer position ids computation

* safer position id computation

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

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

* remove identical inherited tests

* fix prompt ids in tests

* use generation config

* use jnp array

* better var names

* more explicit bias use

* import transformers

* formatting

* test formatting

* remove unused imports

* remove unused imports

* formatting

* isort

* docs

* fix ln orders for encoder hidden states

* whisper unique generation stuff

* flake

* use finfo for attention bias

* docs

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

* docs

* add timestamp flax test

* jit for timestamps

* formatting

* clean up timestamps processor

* formatting

* remove if_true

* cleanup

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Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Add mapping

* Add mapping to pipeline

* Apply suggestions

* Fix feature extractor tests

* Use ForInstance, add model to universal mapping

* More fixes

* Remove model from deprecated objectsé
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* split autoclasses on modality

* apply review

* auto classes

* AutoImageProcessor skeleton

* Update references

* Add mapping in init

* Add model image processors to __init__ for importing

* Add AutoImageProcessor tests

* Fix up

* Image Processor documentation

* Remove pdb

* Update docs/source/en/model_doc/mobilevit.mdx

* Update docs

* Don't add whitespace on json files

* Remove fixtures

* Move checking model config down

* Fix up

* Add check for image processor

* Remove FeatureExtractorMixin in docstrings

* Rename model_tmpfile to config_tmpfile

* Don't make None if not in image processor map

* Add initial files for depth estimation pipelines

* Add test file for depth estimation pipeline

* Update model mapping names

* Add updates for depth estimation output

* Add generic test

* Hopefully fixing the tests.

* Check if test passes

* Add make fixup and make fix-copies changes after rebase with main

* Rebase with main

* Fixing up depth pipeline.

* This is not used anymore.

* Fixing the test. `Image` is a module `Image.Image` is the type.

* Update docs/source/en/main_classes/pipelines.mdx
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add ZeroShotObjectDetectionPipeline (#18445)

* Add AutoModelForZeroShotObjectDetection task

This commit also adds the following

- Add explicit _processor method for ZeroShotObjectDetectionPipeline.
  This is necessary as pipelines don't auto infer processors yet and
  `OwlVitProcessor` wraps tokenizer and feature_extractor together, to
  process multiple images at once

- Add auto tests and other tests for ZeroShotObjectDetectionPipeline

* Add AutoModelForZeroShotObjectDetection task

This commit also adds the following

- Add explicit _processor method for ZeroShotObjectDetectionPipeline.
  This is necessary as pipelines don't auto infer processors yet and
  `OwlVitProcessor` wraps tokenizer and feature_extractor together, to
  process multiple images at once

- Add auto tests and other tests for ZeroShotObjectDetectionPipeline

* Add batching for ZeroShotObjectDetectionPipeline

* Fix doc-string ZeroShotObjectDetectionPipeline

* Fix output format: ZeroShotObjectDetectionPipeline

* [WIP] Skeleton of VisualQuestionAnweringPipeline extended to support LayoutLM-like models

* Fixup

* Use the full encoding

* Basic refactoring to DocumentQuestionAnsweringPipeline

* Cleanup

* Improve args, docs, and implement preprocessing

* Integrate OCR

* Refactor question_answering pipeline

* Use refactored QA code in the document qa pipeline

* Fix tests

* Some small cleanups

* Use a string type annotation for Image.Image

* Update encoding with image features

* Wire through the basic docs

* Handle invalid response

* Handle empty word_boxes properly

* Docstring fix

* Integrate Donut model

* Fixup

* Incorporate comments

* Address comments

* Initial incorporation of tests

* Address Comments

* Change assert to ValueError

* Comments

* Wrap `score` in float to make it JSON serializable

* Incorporate AutoModeLForDocumentQuestionAnswering changes

* Fixup

* Rename postprocess function

* Fix auto import

* Applying comments

* Improve docs

* Remove extra assets and add copyright

* Address comments
Co-authored-by: Ankur Goyal <ankur@impira.com>

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

* First draft

* Add VideoMAEForVideoClassification

* Improve conversion script

* Add VideoMAEForPreTraining

* Add VideoMAEFeatureExtractor

* Improve VideoMAEFeatureExtractor

* Improve docs

* Add first draft of model tests

* Improve VideoMAEForPreTraining

* Fix base_model_prefix

* Make model take pixel_values of shape (B, T, C, H, W)

* Add loss computation of VideoMAEForPreTraining

* Improve tests

* Improve model testsé

* Make all tests pass

* Add VideoMAE to main README

* Add tests for VideoMAEFeatureExtractor

* Add integration test

* Improve conversion script

* Rename patch embedding class

* Remove VideoMAELayer from init

* Update design of patch embeddings

* Improve comments

* Improve conversion script

* Improve conversion script

* Add conversion of pretrained model

* Add loss verification of pretrained model

* Add loss verification of unnormalized targets

* Add integration test for pretraining model

* Apply suggestions from code review

* Fix bug to make feature extractor resize only shorter edge

* Address more comments

* Improve normalization of videos

* Add doc examples

* Move constants to dedicated script

* Remove scripts

* Transfer checkpoints, fix docs

* Update script

* Update image mean and std

* Fix doc tests

* Set return_tensors to NumPy by default

* Revert the previous change
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* wip

* rebase

* all tests pass

* rebase

* ready for PR

* address comments

* fix styles

* add require_torch to pipeline test

* remove remote image to improve CI consistency

* address comments; fix tf/flax tests

* address comments; fix tf/flax tests

* fix tests; add alias

* repo consistency tests

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

* address comments

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

* merge

* Update src/transformers/models/auto/modeling_auto.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* merge
Co-authored-by: Sijun He <sijunhe@Sijuns-MacBook-Pro.local>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* update docs of length_penalty

* Revert "update docs of length_penalty"

This reverts commit 466bf4800b75ec29bd2ff75bad8e8973bd98d01c.

* add mobilebert onnx config

* address suggestions

* Update auto.mdx

* Update __init__.py

* Update features.py

* Reorganize doc for multilingual support

* Fix style

* Style

* Toc trees

* Adapt templates

Small adjustments.

Adding in type hint.

Last fix ?

Only include the default dict thing, not the pipelines.

* Add first draft

* Make model importable

* Make SwinForMaskedImageModeling importable

* Fix imports

* Add missing inits

* Add support for Swin

* Fix bug

* Fix bug

* Fix another bug

* Fix Swin MIM implementation

* Fix default encoder stride

* Fix Swin

* Add print statements for debugging

* Add image_size data argument

* Fix Swin

* Fix image_size

* Add print statements for debugging

* Fix print statement

* Remove print statements

* Improve reshaping of bool_masked_pos

* Add support for DeiT, fix tests

* Improve docstrings

* Apply new black version

* Improve script

* Fix bug

* Improve README

* Apply suggestions from code review

* Remove DS_Store and add to gitignore

* Apply suggestions from code review + fix BEiT Flax

* Revert BEiT changes

* Improve README

* Fix code quality

* Improve README
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Add wrapper classes

* convert inner layers to tf

* Add TF Encoder and Decoder layers

* TFSpeech2Text models

* Loadable model

* TF model with same outputs as PT model

* test skeleton

* correct tests and run the fixup

* correct attention expansion

* TFSpeech2Text pask_key_values with TF format

* Standardize instance segmentation models outputs

* Rename output

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

* Add legacy argument to the config and model forward

* Update src/transformers/models/beit/modeling_beit.py
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Copy fix in Segformer
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

* Start the work on TFVisionEncoderDecoderModel

* Expose TFVisionEncoderDecoderModel

* fix import

* Add modeling_tf_vision_encoder_decoder to _ignore_modules in get_model_modules()

* reorder

* Apply the fix for checkpoint loading as in #14016

* remove attention_mask + fix VISION_DUMMY_INPUTS

* A minimal change to make TF generate() work for vision models as encoder in encoder-decoder setting

* fix wrong condition: shape_list(input_ids) == 2

* add tests

* use personal TFViTModel checkpoint (for now)

* Add equivalence tests + projection layer

* style

* make sure projection layer can run

* Add examples

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Clean comments (need to work on TODOs for PyTorch models)

* Remove TF -> PT in check_pt_tf_equivalence for TFVisionEncoderDecoderModel

* fixes

* Revert changes in PT code.

* Update tests/test_modeling_tf_vision_encoder_decoder.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Add test_inference_coco_en for TF test

* fix quality

* fix name

* build doc

* add main_input_name

* Fix ckpt name in test

* fix diff between master and this PR

* fix doc

* fix style and quality

* fix missing doc

* fix labels handling

* Delete auto.rst

* Add the changes done in #14016

* fix prefix

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* make style
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>