GitLab

* add new model like

* add v1

* v1

* v1

* vision encoder logits match

* v2

* fix

* add docstring

* CI tests pass

* fix tests

* make fixup

* add to `toctree`

* fix processors

* fix processors

* fix doc

* fill title

* add content doc

* remove from tokenization auto

* fix config

* change order

* add `# Copied from`

* few fixes

- add correct license on modeling text
- remove dummy argument

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* replace name

* refactor a bit

* more refactor

* remove unused arg

* make fixup + remove some `# Adapted from ...`

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* more `# Copied from`

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* now `generate` supports no prefix

* remove `FeatureExtractor`

* fix path

* correct dependency

* fix tests

* few fixes

* add integration tests

* add correct conversion script

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

* add `blip` to tokenization auto

* fix docstrings

* fix test + add image

* remove processor from uncorrect place

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* clean up a bit

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* clean pixel mask

* clean pixel mask

* fix `F`

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

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fix output

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* fix pad token id

* remove `token_type_ids`

* make fixup

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* make fixup

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* add comments

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

* remove `token_type_ids`

* make fixup

* better name

* replace with `image_attention_mask`

* refactor

* make fixup

* better docstring

* replace `answer_xx`

* remove ununsed args

* add `labels`

* add `labels`

* fix processing tests

* make fixup

* make fixup

* put correct repo

* remove `pad`

* remove `crop` and `center_crop`

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

* fix

* remove `size_divisor`

* fix weights `init`

* remove unneeded functions

* add suggestions

* minor changes

- change slow test output for PT 1.13
- docstring order

* replace `feature_extractor` by `image_processor`

* fix doctests

* fix weight init order + add fp16 slow test

* add `blip` to doctest

* add correct repo name and fix test

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

* fix tests

* use `convert_to_rgb` from `image_transforms`

* make fixup

* fix large loading issue
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Copy RoBERTa

* formatting

* implement RoBERTa with prelayer normalization

* update test expectations

* add documentation

* add convertion script for DinkyTrain weights

* update checkpoint repo

Unfortunately the original checkpoints assumes a hacked roberta model

* add to RoBERTa-PreLayerNorm docs to toc

* run utils/check_copies.py

* lint files

* remove unused import

* fix check_repo reporting wrongly a test is missing

* fix import error, caused by rebase

* run make fix-copies

* add RobertaPreLayerNormConfig to ROBERTA_EMBEDDING_ADJUSMENT_CONFIGS

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

* fixup: Fix documentation <Facebook> -> Facebook
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Add missing Flax header
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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

* update copies after rebase

* add missing copied from statements

* make fix-copies

* make prelayernorm explicit in code

* fix checkpoint path for the original implementation

* add flax integration tests

* improve docs

* update utils/documentation_tests.txt

* lint files

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

* make fix-copies

* Remove EXPECTED_SLICE calculation comments
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fsmt doctest

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

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

* First draft

* Make conversion script work

* Add id2label mapping, run code quality

* Fix copies

* Add first draft of feature extractor

* Update conversion script to use feature extractor

* Make more tests pass

* Add docs

* update input_features to input_values + pad by default to max length

* Fix doc tests

* Add feature extractor tests

* Add proper padding/truncation to feature extractor

* Add support for conversion of all audioset checkpoints

* Improve docs and extend conversion script

* Fix README

* Rename spectogram to spectrogram

* Fix copies

* Add integration test

* Remove dummy conv

* Update to ast

* Update organization

* Fix init

* Rename model to AST

* Add require_torchaudio annotator

* Move import of ASTFeatureExtractor under a is_speech_available

* Fix rebase

* Add pipeline config

* Update name of classifier head

* Rename time_dimension and frequency_dimension for clarity

* Remove print statement

* Fix pipeline test

* Fix pipeline test

* Fix index table

* Fix init

* Fix conversion script

* Rename to ForAudioClassification

* Fix index table
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* add model files etc for MobileNetV2

rename files for MobileNetV1

initial implementation of MobileNetV1

fix conversion script

cleanup

write docs

tweaks

fix conversion script

extract hidden states

fix test cases

make fixup

fixup it all

remove main from doc link

fixes

fix tests

fix up

use google org

fix weird assert

* fixup

* use google organization for checkpoints

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

* Add DiNAT

* Adds DiNAT + tests

* Minor fixes

* Added HF model

* Add natten to dependencies.

* Cleanup

* Minor fixup

* Reformat

* Optional NATTEN import.

* Reformat & add doc to _toctree

* Reformat (finally)

* Dummy objects for DiNAT

* Add NAT + minor changes

Adds NAT as its own independent model + docs, tests
Adds NATTEN to ext deps to ensure ci picks it up.

* Remove natten from `all` and `dev-torch` deps, add manual pip install to ci tests

* Minor fixes.

* Fix READMEs.

* Requested changes to docs + minor fixes.

* Requested changes.

* Add NAT/DiNAT tests to layoutlm_job

* Correction to Dinat doc.

* Requested changes.

* Add docstrings for canine model

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

* Update configuration_deformable_detr.py comment

* Add DeformableDetrConfig to documentation_tests.txt

* Adding ASR pipeline example.

* De indent.

* Example deindent.

* Fixing example ?

* Putting the example in a more prominent place.

* Fixup.

* Adding the file.

* Adding the doctest to the daily test.

* Fixing comments.

* transcriber name.

* Adding `>>>`.

* Removing assert.

* first commit

* add more comments

* add router v1

* clean up

- remove `tf` modeling files

* clean up

- remove `tf` modeling files

* clean up

* v0 routers

* added more router

- Implemented `ExpertsChooseMaskedRouter`

- added tests
- 2 more routers to implement

* last router

* improved docstring

- completed the docstring in `router.py`
- added more args in the config

* v0 sparse mlp

* replace wrong naming

* forward pass run

* update MOE layer

* small router update

* fixup

* consistency

* remove scatter router

* remove abstract layer

* update test and model for integration testing

* v1 conversion

* update

* hardcode hack

* all keys match

* add gin conversion, without additional libraries

* update conversion sctipy

* delete router file

* update tests wrt router deletion

* fix router issues

* update expert code

* update, logits match, code needsREFACTORING

* Refactor code
Co-authored-by: Younes Belkada <younesbelkada@users.noreply.github.com>

* add generate tests
Co-authored-by: younesbelkada <younesbelkada@gmail.com>

* add support for router loss
Co-authored-by: Younes Belkada <younesbelkada@users.noreply.github.com>

* fix forward error

* refactor a bit

* remove `FlaxSwitchTransformers` modules

* more tests pass

* Update code
Co-authored-by: Younes Belkada <younesbelkada@users.noreply.github.com>

* fixup

* fix tests

* fix doc

* fix doc + tokenization

* fix tokenizer test

* fix test

* fix loss output

* update code for backward pass

* add loss support

* update documentation

* fix documentation, clean tokenizer

* more doc fix, cleanup example_switch

* fix failing test

* fix test

* fix test

* fix loss issue

* move layer

* update doc and fix router capacity usage

* fixup

* add sparse mlp index for documentation on hub

* fixup

* test sparse mix architecture

* Apply suggestions from code review

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

* fixup on update

* fix tests

* fix another test

* attempt fix

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

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

* try

* all tests pass

* fix jitter noise

* Apply suggestions from code review

* doc tests pass

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

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

* remove assert

* change config order

* fix readme japanese

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

* remove parallelizable tests + add one liners

* remove ONNX config

* fix nits

- add `T5Tokenizer` in auto mapping
- remove `Switch Transformers` from ONNX supported models

* remove `_get_router`

* remove asserts

* add check in test for `router_dtype`

* add `SwitchTransformersConfig` in `run_pipeline_test`

* Update tests/pipelines/test_pipelines_summarization.py

* add huge model conversion script

* fix slow tests

- add better casting for `Linear8bitLt`
- remove `torchscript` tests

* add make dir

* style on new script

* fix nits

- doctest
- remove `_keys_to_ignore_on_load_unexpected`

* Update src/transformers/models/switch_transformers/configuration_switch_transformers.py

* add google as authors

* fix year

* remove last `assert` statements

* standardize vertical spaces

* fix failing import

* fix another failing test

* Remove strange àuthorized_keys`

* removing todo and padding that is never used
Co-authored-by: Arthur Zucker <arthur.zucker@gmail.com>
Co-authored-by: ybelkada <younes@huggingface.co>
Co-authored-by: Younes Belkada <younesbelkada@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Arthur Zucker <arthur@huggingface.co>

* add model files etc for MobileNetV2

* rename files for MobileNetV1

* initial implementation of MobileNetV1

* fix conversion script

* cleanup

* write docs

* tweaks

* fix conversion script

* extract hidden states

* fix test cases

* make fixup

* fixup it all

* rename V1 to V2

* fix checkpoints

* fixup

* implement first block + weight conversion

* add remaining layers

* add output stride and dilation

* fixup

* add tests

* add deeplabv3+ head

* a bit of fixup

* finish deeplab conversion

* add link to doc

* fix issue with JIT trace

in_height and in_width would be Tensor objects during JIT trace, which caused Core ML conversion to fail on the remainder op. By making them ints, the result of the padding calculation becomes a constant value.

* cleanup

* fix order of models

* fix rebase error

* remove main from doc link

* add image processor

* remove old feature extractor

* fix converter + other issues

* fixup

* fix unit test

* add to onnx tests (but these appear broken now)

* add post_process_semantic_segmentation

* use google org

* remove unused imports

* move args

* replace weird assert

Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>

* move generation_*.py src files into generation/*.py

* populate generation.__init__ with lazy loading

* move imports and references from generation.xxx.object to generation.object

* add roc_bert

* update roc_bert readme

* code style

* change name and delete unuse file

* udpate model file

* delete unuse log file

* delete tokenizer fast

* reformat code and change model file path

* add RocBertForPreTraining

* update docs

* delete wrong notes

* fix copies

* fix make repo-consistency error

* fix files are not present in the table of contents error

* change RocBert -> RoCBert

* add doc, add detail test
Co-authored-by: weiweishi <weiweishi@tencent.com>

* Add first draft

* Update conversion script

* Improve conversion script

* Improve conversion script some more

* Add conditional embeddings

* Add initial decoder

* Fix activation function of decoder

* Make decoder outputs match original implementation

* Make decoder outputs match original implementation

* Add more copied from statements

* Improve model outputs

* Fix auto tokenizer file

* Fix more tests

* Add test

* Improve README and docs, improve conditional embeddings

* Fix more tests

* Remove print statements

* Remove initial embeddings

* Improve conversion script

* Add interpolation of position embeddings

* Finish addition of interpolation of position embeddings

* Add support for refined checkpoint

* Fix refined checkpoint

* Remove unused parameter

* Improve conversion script

* Add support for training

* Fix conversion script

* Add CLIPSegFeatureExtractor

* Fix processor

* Fix CLIPSegProcessor

* Fix conversion script

* Fix most tests

* Fix equivalence test

* Fix README

* Add model to doc tests

* Use better variable name

* Convert other checkpoint as well

* Update config, add link to paper

* Add docs

* Update organization

* Replace base_model_prefix with clip

* Fix base_model_prefix

* Fix checkpoint of config

* Fix config checkpoint

* Remove file

* Use logits for output

* Fix tests
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Add example docstring for DPRConfig

* Add DPRConfig to documentation_tests

* Add example docstring for CamembertConfig

* Add configuration_camembert to documentation_tests

* Add example docstring for DebertaV2Config

* Add DebertaV2Config to documentation_tests

* Fix mistake with directory name

* Add Example docstring to DebertaConfig

* Add configuration_deberta to documentation_tests

* Add microsoft/deberta-base to example docstring

* Fix example docstring mistake

* Update documentation_tests.txt

* Update configuration_mbart.py

* Update configuration_mctct.py

* Update configuration_layoutlm.py

* Update configuration_layoutlmv2.py

* Update configuration_layoutlmv3.py

* Update documentation_tests.txt

* [Doctest] Add `configuration_nezha.py`

* Revert line order

Additionally, I updated the doctest format to be consistent with BERT.

* Change the import order of the model and configuration classes

* Add (with random weights) in the comment before model initialization

* Add configuration_wavlm to doctest

* CLIP Config for doctest

* add doc example to CLIPConfig

* add from_text_vision_configs example

* added comment explaining objective

* Fixed pegasus_x config doctest

* Test commit
Co-authored-by: mukesh663 <mukesh13034@gmail.com>