GitLab

* Add a TF in-graph tokenizer for BERT

* Add from_pretrained

* Add proper truncation, option handling to match other tokenizers

* Add proper imports and guards

* Add test, fix all the bugs exposed by said test

* Fix truncation of paired texts in graph mode, more test updates

* Small fixes, add a (very careful) test for savedmodel

* Add tensorflow-text dependency, make fixup

* Update documentation

* Update documentation

* make fixup

* Slight changes to tests

* Add some docstring examples

* Update tests

* Update tests and add proper lowercasing/normalization

* make fixup

* Add docstring for padding!

* Mark slow tests

* make fixup

* Fall back to BertTokenizerFast if BertTokenizer is unavailable

* Fall back to BertTokenizerFast if BertTokenizer is unavailable

* make fixup

* Properly handle tensorflow-text dummies

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

* Properly get tests deps in test_fetcher

* Remove print

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

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

* Use higher value for hidden_size in Flax BigBird test

* remove 5e-5
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* feat: Add type hints for GPTNeoxForCausalLM and GPTNeoXModel

* fix: removed imported Dict type

* fix: Removed unused List import

* Add CodeGen model

* Add missing key and switch order of super()

* Fix torch.ones init with uint8 instead of bool

* Address comments: copy statements and doc

* update tests

* remove old model parallel

* fix batch gen tests

* fix batch gen test

* update test_gpt2_sample_max_time

* fix codgen test and revert gpt2 test change

* Fix incorrect tie_word_embedding value, typo, URL

* Fix model order in README and styling

* Reorder model list alphabetically

* Set tie_word_embedding to False by default

* Apply suggestions from code review

* Better attn mask name & remove attn masked_bias

* add tokenizer for codegen

* quality

* doc tokenizer

* fix-copies

* add CodeGenTokenizer in converter

* make truncation optional

* add test for truncation

* add copyright

* fix-copies

* fix fast tokenizer decode

* Update src/transformers/models/codegen/tokenization_codegen.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* increase vocab_size in tests
Co-authored-by: patil-suraj <surajp815@gmail.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

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

* fix(ConstrainedBeamSearchScorer.step_sentence_constraint): avoid hypothesis duplication between topk and advance

* fix(GenerationMixin.constrained_beam_search): appropriately assign beam scores instead of token scores

* Copied all the changes from the last PR

* added in documentation_tests.txt

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Update docs/source/en/model_doc/encoder-decoder.mdx
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: vishwaspai <vishwas.pai@emplay.net>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Improve vision models

* Add a lot of improvements

* Remove to_2tuple from swin tests

* Fix TF Swin

* Fix more tests

* Fix copies

* Improve more models

* Fix ViTMAE test

* Add channel check for TF models

* Add proper channel check for TF models

* Apply suggestion from code review

* Apply suggestions from code review

* Add channel check for Flax models, apply suggestion

* Fix bug

* Add tests for greyscale images

* Add test for interpolation of pos encodigns
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Auto-build on setup modification

* Modify push-caller

* Make adjustments based on code review

Properly calculate the total train iterations and recalculate num epochs in no_trainer scripts (#17856)

* wip

* rebase

* all tests pass

* rebase

* ready for PR

* address comments

* fix styles

* add require_torch to pipeline test

* remove remote image to improve CI consistency

* address comments; fix tf/flax tests

* address comments; fix tf/flax tests

* fix tests; add alias

* repo consistency tests

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

* address comments

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

* merge

* wip

* wip

* wip

* most basic tests passes

* all tests pass now

* relative embedding

* wip

* running make fixup

* remove bert changes

* fix doc

* fix doc

* fix issues

* fix doc

* address comments

* fix CI

* remove redundant copied from

* address comments

* fix broken test
Co-authored-by: Sijun He <sijunhe@Sijuns-MacBook-Pro.local>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

* Adjust test arguments and use a new example test

As shown in the colab notebook I added the missing type hints for " CvtForImageClassification
CvtModel
"

* Fix tests that broke when models used batchnorm

* Initializing the model twice does not actually...
...give you the same weights each time.
I am good at machine learning.

* Fix speed regression

* few fixes:

- hardcode tokenizer padding side
- remove unused args

* few fixes:

- added new attribute on TokenizerTesterMixin
- added new slow test
- remove unused arg on tokenizer class

* make style

* Update src/transformers/models/bloom/tokenization_bloom_fast.py
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

* make quality

* apply changes

- remove new attribute
- redefine test on the class

* add comments
Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

* add skeleton files

* fix cpu inference link

* add hint to make clear that single gpu section contains general info

* add new files to ToC

* update toctree to have subsection for performance

* add "coming soon" to the still empty sections

* fix missing title

* fix typo

* add reference to empty documents

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>

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

Co-authored-by: SaulLu <55560583+SaulLu@users.noreply.github.com>

* Feat: add missing type hints for QDQBertModel

* fix: ran black and isort

* feat: Add missing output type for QDQBertModel

* feat: Add type hints for QDQBertLMHeadModel and models starting with QDQBertFor

* fix: add missing return type for QDQBertModel

* fix: remove wrong return type for QDQBertEmbeddings

* fix: readded config argument to load_tf_weights_in_qdqbert

* fix: add BertConfig type to BertEmbeddings config due t checko error in ci

* fix: removed config type hints to avoid copy checks

* Update modeling_yoso.py

* make fixup

* Update modeling_yoso.py

That should be it copied from previous PR

* add: check labels for detr object detection doctests

* add: check shapes

* add: add detr to documentation_tests.py

* fix: make fixup output

* fix: add a comment

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

* Offload fixes

* Add a test

* use create_commit

* better commit message and description

* touch setup.py to trigger cache update

* add hub version gating

Bumps [numpy](https://github.com/numpy/numpy) from 1.21.0 to 1.22.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst)
- [Commits](https://github.com/numpy/numpy/compare/v1.21.0...v1.22.0

)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Bumps [numpy](https://github.com/numpy/numpy) from 1.21.0 to 1.22.0.
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/HOWTO_RELEASE.rst)
- [Commits](https://github.com/numpy/numpy/compare/v1.21.0...v1.22.0

)

---
updated-dependencies:
- dependency-name: numpy
  dependency-type: direct:production
...
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Add logits_processor parameter, used by `generate`, to `Seq2SeqTrainer` methods `evaluate` and `predict` (#17805)

* Add logits_processor parameter, used by `generate`, to `Seq2SeqTrainer` methods `evaluate` and `predict`

* Add all generate parameters to `Seq2SeqTrainer`, and also to `QuestionAnsweringSeq2SeqTrainer` which overrides it

* Remove `self._num_beams` from trainer classes

* - Run fixup
- Fix "Constraint" not exposed
- Fix synced_gpus to actually read from param

* Use kwargs

* Copy kwargs before making changes to it

* Fix style issues unused imports