GitLab

* First draft

* Add YolosForObjectDetection

* Make forward pass work

* Add mid position embeddings

* Add interpolation of position encodings

* Add expected values

* Add YOLOS to tests

* Add integration test

* Support tiny model as well

* Support all models in conversion script

* Remove mid_pe_size attribute

* Make more tests pass

* Add model to README and fix config

* Add copied from statements

* Rename base_model_prefix to vit

* Add missing YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP

* Apply suggestions from code review

* Apply more suggestions from code review

* Convert remaining checkpoints

* Improve docstrings

* Add YolosFeatureExtractor

* Add feature extractor to docs

* Add corresponding tests

* Fix style

* Fix docs

* Apply suggestion from code review

* Fix bad rebase

* Fix some more bad rebase

* Fix missing character

* Improve docs and variable names
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Clean up tests

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

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>

* add roformer onnx config

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

* added deit onnx config

Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* XLA min len, forced eos, and forced bos
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* add torch.cuda.empty_cache in some PT RAG tests

* torch.cuda.empty_cache in tearDownModule()

* tearDown()

* add gc.collect()
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

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

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

* Temporary commit witht the long QA fix.

* Adding slow tests covering this fix.

* Removing fast test as it doesn't fail anyway.

* Fixing return type tensor with `num_return_sequences>1`.

* Nit.

Co-authored-by: alcinos <carion.nicolas@gmail.com>
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>
Co-authored-by: Nicolas Carion <carion.nicolas@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add initial BNB integration

* fixup! Add initial BNB integration

* Add bnb test decorator

* Update Adamw8bit option name

* Use the full bnb package name

* Overide bnb for all embedding layers

* Fix package name

* Formatting

* Remove unnecessary import

* Update src/transformers/trainer.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Rename AdamwBNB optimizer option

* Add training test checking that bnb memory utilization is lower

* fix merge

* fix merge; fix + extend new test

* cleanup

* expand bnb

* move all require_* candidates to testing_utils.py
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas@stason.org>

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

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

* Fix issue avoid-misusing-assert-true found at https://codereview.doctor



* fix tests

* fix tf
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* begin do_init

* add params_shape_tree

* raise error if params are accessed when do_init is False

* don't allow do_init=False when keys are missing

* make shape tree a property

* assign self._params at the end

* add test for do_init

* add do_init arg to all flax models

* fix param setting

* disbale do_init for composite models

* update test

* add do_init in FlaxBigBirdForMultipleChoice

* better names and errors

* improve test

* style

* add a warning when do_init=False

* remove extra if

* set params after _required_params

* add test for from_pretrained

* do_init => _do_init

* chage warning to info

* fix typo

* add params in init_weights

* add params to gpt neo init

* add params to init_weights

* update do_init test

* Trigger CI

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* update template

* trigger CI

* style

* style

* fix template
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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

* Add passing encoder_outputs as tuple to existing test

* Add check for tuple

* Add check for tuple also for speech and vision
Co-authored-by: jsnfly <jsnfly@gmx.de>

* save intermediate

* add vision

* add vision

* save

* finish models

* finish models

* continue

* finish

* up

* up

* up

* tests all pass

* clean up

* up

* up

* fix bugs in beit

* correct docs

* finish

* finish docs

* make style

* up

* more fixes

* fix type hint

* make style

* Apply suggestions from code review
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update tests/data2vec/test_modeling_data2vec_vision.py
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

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

* Improve code

* Fix bugs

* Fix another bug

* Clean up DTP as well

* Update DPT model outputs
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* add low_cpu_mem_usage tests

* wip: revamping

* wip

* install /usr/bin/time

* wip

* cleanup

* cleanup

* cleanup

* cleanup

* cleanup

* fix assert

* put the wrapper back

* cleanup; switch to bert-base-cased

* Trigger CI

* Trigger CI

* [trainer / deepspeed] fix hyperparameter_search

* require optuna

* style

* oops

* add dep in the right place

* create deepspeed-testing dep group

* Trigger CI

* Enabling `Tapex` in table question answering pipeline.

* Questions are independant for Tapex, making the test respect that.

* Missing extra space.

* Make Funnel Test less flaky
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Fix setters of *_token_id properties of SpecialTokensMixin

* Test setters of common tokens ids

* Move to a separate test checks of setters of tokens ids

* Add independent test for ByT5

* Add Canine test

* Test speech to text

* Normalize using a logits warper

* Add a flag in `generate` to support the logit renormalization

* Add in RAG

* add Bigbird ONNX config