GitLab

* 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>

* Adding config files for configuration_clip.py

* Adding config files for convnext

* Undoing

* making the required changes

* Update documentation_tests.txt

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

* First draft

* Add conversion script

* Make conversion work

* Upload checkpoints

* Add final fixes

* Revert changes of conditional and deformable detr

* Fix toctree, add and remove copied from

* Use model type

* Improve docs

* Improve code example

* Update copies

* Add copied formt

* Don't update conditional detr

* Don't update deformable detr

* Data2Vec Vision Config for doctest

* made suggested changes
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Update configuration_realm.py

* realm config for doctest

* Update configuration_realm.py doc

* Update documentation_tests

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

* ConvBERT config for doctest

* Add empty lines

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

* trocr Config for doctest

* ran make style