GitLab

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

* Update ZeroShotObjectDetectionPipeline expect output

* Update src/transformers/pipelines/zero_shot_object_detection.py
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

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

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

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

* Fix Data2VecTextForCasualLM example code documentation

* Change RobertaTokenizer to AutoTokenizer in data2vectext example code

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

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

* init chinese-clip model from clip

* init model tests and docs

* implement chinese-clip into hf

* implement chinese-clip into hf

* implement chinese-clip into hf

* implement chinese-clip into hf

* implement chinese-clip into hf

* update usecase example in model implementation

* fix codestyle

* fix model_type typo in readme

* add placeholder in doc

* add placeholder in doc

* update the init script

* update usecase

* fix codestyle

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* forward the convert_rgb

* update testcase

* update testcase

* update testcase

* merge the recent update from clip about model_input_name property

* update the doc

* update the doc

* update the doc

* update the doc

* remove unused imports

* reformat code style

* update the doc

* fix isort style

* bypass a weird failed unit test which is unrelated with my PR

* update the doc

* implement independent vision config class

* implement independent vision model class

* fix refactor bug

* fix refactor bug

* fix refactor bug

* make style

* fix refactor bug

* make style

* fix refactor bug

* fix refactor bug

* make style

* fix refactor bug

* fix refactor bug

* doc-build restyle

* implement independent text config class

* implement independent text model class

* implement independent text model class

* make style

* make fix-copies

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* make style

* update doc

* black and isort

* update doc

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

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

* modify the model type from chinese-clip to chinese_clip

* format the example comment of ChineseCLIPVisionConfig

* correct the copyright comment

* fix the tokenizer specification

* add copied from for loss function

* remove unused class

* update CHINESE_CLIP_TEXT_INPUTS_DOCSTRING

* update CHINESE_CLIP_INPUTS_DOCSTRING

* update doc

* update doc

* update code comment in config

* update copied from statement

* make style

* rename the doc file

* add copied statement

* remove unused attention_mask, causal_attention_mask in ChineseCLIPVisionEncoder

* remove ChineseCLIPTextPreTrainedModel

* fix bug

* fix bug

* fix bug

* update doc

* make style

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

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

* update ChineseCLIPImageProcessor in image_processing_auto

* fix config_class of chinesecliptextmodel

* fix the test case

* update the docs

* remove the copied from comment for ChineseCLIPTextModel, since it has diverged from BertModel with customed config_class

* update the testcase

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

* Repurpose torchdynamo training args towards torch._dynamo

* Add doc

* Update doc example feature extractor -> image processor

* Apply suggestions from code review

* Fixed test_saved_model_extended

* Fix TFGPT2 tests

* make fixup

* Make sure keras-nlp utils are available for type hinting too

* Update src/transformers/testing_utils.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* make fixup
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

error show like: “Currently the auto_kernel_selection does not support the grad mode! Please add torch.no_grad() before the inference runtime..”
since jit mode only work in inference mode, it's safe to add such logic.

Neuron supports extraction of XLA graphs for compilation.
However, when both do_train and do_eval options are enabled,
sizes returned by tensor operator can be 0. To avoid
INVALID_ARGUMENT error, we use inequality in the check whether
a tensor needs padding or not.

* fix `opt` bias

* revert unneeded assignment

* make add_special_tokens more clear
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* remove truncation

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

* Add transforms for object detection

* DETR models + Yolos

* Scrappy additions

* Maskformer image processor

* Fix up; MaskFormer tests

* Update owlvit processor

* Add to docs

* OwlViT tests

* Update pad logic

* Remove changes to transforms

* Import fn directly

* Update to include pad transformation

* Remove uninstended changes

* Add new owlvit post processing function

* Tidy up

* Fix copies

* Fix some copies

* Include device fix

* Fix scipy imports

* Update _pad_image

* Update padding functionality

* Fix bug

* Properly handle ignore index

* Fix up

* Remove defaults to None in docstrings

* Fix docstrings & docs

* Fix sizes bug

* Resolve conflicts in init

* Cast to float after resizing

* Tidy & add size if missing

* Allow kwards when processing for owlvit

* Update test values

* [modelcard] Set model name if empty

* no magic
Co-authored-by: Sylvain Gugger <sylvain@huggingface.co>
Co-authored-by: Sylvain Gugger <sylvain@huggingface.co>

Co-authored-by: Sandeep Kumar <sandeep.kumar@woven-planet.global>

* replace assert statements with exceptions

* made conditions more readable

* add minimal working gpt2 tokenizer

* graph mode and output equivalence tests working

* not today tensorflow. serialization test passing!

* fix style, documentation, docstrings and all that jazz

* passing consistency checks

* move keras nlp to tf dependencies

* fix tf modeling utils and gpt2 attention to enable compiling

* fix (I hope) keras nlp dependencies

* rever changes on generation

* remove debug prints

* remove redundant tf dummy objects

* add from config, get config and max length settings to address review

* let flake ignore the error on distillation you are welcome

* test from config

* add padding test

* address sgugger review

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

* Fix init import_structure sorting

* Fix rebase

* fix torch meshgrid warnings

* support lower torch versions

* don't edit examples

* dont edit examples

* fix ci

* fix style

* rebase cleanup

* fix ci again

* Add Donut image processor

* Update src/transformers/image_transforms.py
Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>

* Fix docstrings

* Full var names in docstring
Co-authored-by: Alara Dirik <8944735+alaradirik@users.noreply.github.com>

* extract warning from CI artifacts

* fix path

* fix logic

* fix comment

* update default values
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>