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* swin transformer onnx support

* Updated image dimensions as dynamic
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Add ONNX support

* Make height and width dynamic axes
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* groupvit to onnx

* dynamic shape for pixel values dim

* onnx conversion for owlvit

* .T to .t()

* dynamic shapes for pixel values

* Implement ONNX support for Longformer

Fix repo consistency check complaints

Fix value mismatches

Add pooler output for default model

Increase validation atol to accommodate multiple-choice error

Fix copies

Fix chunking for longer sequence lengths

Add future comment

* Fix issue in mask_invalid_locations

* Remove torch imports in configuration_longformer

* Change config access to fix LED

* Push opset version to support tril

* Work in review comments (mostly style)

* Add Longformer to ONNX tests

Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Update BLOOM parameter counts

* Update BLOOM parameter counts

* onnx config for clip

* default opset as 14

* changes from the original repo

* input values order fix

* outputs fix

* remove unused import

* ran make fix-copies

* black format

* review comments: forward ref, import fix, model change revert, .to cleanup

* make style

* formatting fixes

* revert groupvit

* comment for cast to int32

* comment fix

* make .T as .t() for onnx conversion

* ran make fix-copies

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

* fix copies

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

* update features

* MT5OnnxConfig added with updated with tests and docs

* fix imports

* fix onnc_config_cls for mt5

Co-authored-by: Thomas Chaigneau <thomas.deeptools.ai>

* feat: add the data2vec conf that are missing https://huggingface.co/docs/transformers/serialization

* fix: wrong config

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

* support ONNX export of XDropout in deberta{,_v2}

* black

* copy to sew_d

* add test

* isort

* use pytest.mark.filterwarnings

* review comments

Co-authored-by: Guilhem Chéron <guilhemc@authentifier.com>

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

* add onnx support for BLOOM

* use TYPE_CHECKING for type annotations

* fix past_shape for bloom (different from gpt2)

* use logical_or instead of `+` for onnx support

* bigger `atol_for_validation` for larger bloom models

* copied -> taken because it's no longer an exact copy

* remove "copied from" comment
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add ONNX support for LayoutLMv3

* Update docstrings

* Update empty description in docstring

* Fix imports and type hints

* add onnx support for debertav2

* debertav2 -> deberta-v2 in onnx features file

* remove causal lm

* add deberta-v2-xlarge to onnx tests

* use self.type().dtype() in xsoftmax
Co-authored-by: Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com>

* remove hack for deberta

* remove unused imports

* Update src/transformers/models/deberta_v2/configuration_deberta_v2.py
Co-authored-by: Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com>

* use generate dummy inputs

* linter

* add imports

* add support for deberta v1 as well

* deberta does not support multiple choice

* Update src/transformers/models/deberta/configuration_deberta.py
Co-authored-by: Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com>

* Update src/transformers/models/deberta_v2/configuration_deberta_v2.py
Co-authored-by: Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com>

* one line ordered dict

* fire build
Co-authored-by: Jingya HUANG <44135271+JingyaHuang@users.noreply.github.com>

* Initial commit

* Make some fixes

* Make PT model full forward pass

* Drop TF & Flax implementation, fix copies etc

* Add Flax model and update some corresponding stuff

* Drop some TF things

* Update config and flax local attn

* Add encoder_attention_type to config

* .

* Update docs

* Do some cleansing

* Fix some issues -> make style; add some docs

* Fix position_bias + mask addition + Update tests

* Fix repo consistency

* Fix model consistency by removing flax operation over attn_mask

* [WIP] Add PT TGlobal LongT5

* .

* [WIP] Add flax tglobal model

* [WIP] Update flax model to use the right attention type in the encoder

* Fix flax tglobal model forward pass

* Make the use of global_relative_attention_bias

* Add test suites for TGlobal model

* Fix minor bugs, clean code

* Fix pt-flax equivalence though not convinced with correctness

* Fix LocalAttn implementation to match the original impl. + update READMEs

* Few updates

* Update: [Flax] improve large model init and loading #16148

* Add ckpt conversion script accoring to #16853 + handle torch device placement

* Minor updates to conversion script.

* Typo: AutoModelForSeq2SeqLM -> FlaxAutoModelForSeq2SeqLM

* gpu support + dtype fix

* Apply some suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* * Remove (de)parallelize stuff
* Edit shape comments
* Update README.md
* make fix-copies

* Remove caching logic for local & tglobal attention

* Apply another batch of suggestions from code review

* Add missing checkpoints
* Format converting scripts
* Drop (de)parallelize links from longT5 mdx

* Fix converting script + revert config file change

* Revert "Remove caching logic for local & tglobal attention"

This reverts commit 2a619828f6ddc3e65bd9bb1725a12b77fa883a46.

* Stash caching logic in Flax model

* Make side relative bias used always

* Drop caching logic in PT model

* Return side bias as it was

* Drop all remaining model parallel logic

* Remove clamp statements

* Move test files to the proper place

* Update docs with new version of hf-doc-builder

* Fix test imports

* Make some minor improvements

* Add missing checkpoints to docs
* Make TGlobal model compatible with torch.onnx.export
* Replace some np.ndarray with jnp.ndarray

* Fix TGlobal for ONNX conversion + update docs

* fix _make_global_fixed_block_ids and masked neg  value

* update flax model

* style and quality

* fix imports

* remove load_tf_weights_in_longt5 from init and fix copies

* add slow test for TGlobal model

* typo fix

* Drop obsolete is_parallelizable and one warning

* Update __init__ files to fix repo-consistency

* fix pipeline test

* Fix some device placements

* [wip]: Update tests -- need to generate summaries to update expected_summary

* Fix quality

* Update LongT5 model card

* Update (slow) summarization tests

* make style

* rename checkpoitns

* finish

* fix flax tests
Co-authored-by: phungvanduy <pvduy23@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: patil-suraj <surajp815@gmail.com>

* Add ONNX support for ResNet

* Add ONNX test

* make fix-copies

* Start adding perceiver support for ONNX

* Fix pad token bug for fast tokenizers

* Fix formatting

* Make get_preprocesor more opinionated (processor priority, otherwise tokenizer/feature extractor)

* Clean docs format

* Minor cleanup following @sgugger's comments

* Fix typo in docs

* Fix another docs typo

* Fix one more typo in docs

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

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

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

* add onnx config for SqueezeBert

* add test for onnx config for SqueezeBert

* add automatically updated doc for onnx config for SqueezeBert

* Update src/transformers/onnx/features.py
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Update src/transformers/models/squeezebert/configuration_squeezebert.py
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Add onnx configuration for xlm

* Add supported features for xlm

* Add xlm to models exportable with onnx

* Add xlm architecture to test file

* Modify docs

* Make code quality fixes

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
Co-authored-by: lewtun <lewis.c.tunstall@gmail.com>

* Black preview

* Fixup too!

* Fix check copies

* Use the same version as the CI

* Bump black

* 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

* Add onnx configuration for bigbird-pegasus

* Modify docs

* Skip RoFormer ONNX test if rjieba not installed

* Update deps table

* Skip RoFormer serialization test

* Fix RoFormer vocab

* Add rjieba to CircleCI

* add roformer onnx config

* added deit onnx config

Co-authored-by: ChainYo <t.chaigneau.tc@gmail.com>

* add OnnxConfig for ConvBert
Co-authored-by: ChainYo <t.chaigneau.tc@gmail.com>

* Add export of models with a multiple-choice classification head

* add Bigbird ONNX config

* Add beit onnx conversion support

* Updated docs

* Added cross reference to ViT ONNX config

* Add ONNX support for Blenderbot

* Add BlenderbotSmall ONNX configuration

* Update serialization table