* First draft
* More improvements
* More improvements
* More fixes
* Fix copies
* More improvements
* More fixes
* More improvements
* Convert checkpoint
* More improvements, set up tests
* Fix more tests
* Add UdopModel
* More improvements
* Fix equivalence test
* More fixes
* Redesign model
* Extend conversion script
* Use real inputs for conversion script
* Add image processor
* Improve conversion script
* Add UdopTokenizer
* Add fast tokenizer
* Add converter
* Update README's
* Add processor
* Add fully fledged tokenizer
* Add fast tokenizer
* Use processor in conversion script
* Add tokenizer tests
* Fix one more test
* Fix more tests
* Fix tokenizer tests
* Enable fast tokenizer tests
* Fix more tests
* Fix additional_special_tokens of fast tokenizer
* Fix tokenizer tests
* Fix more tests
* Fix equivalence test
* Rename image to pixel_values
* Rename seg_data to bbox
* More renamings
* Remove vis_special_token
* More improvements
* Add docs
* Fix copied from
* Update slow tokenizer
* Update fast tokenizer design
* Make text input optional
* Add first draft of processor tests
* Fix more processor tests
* Fix decoder_start_token_id
* Fix test_initialization
* Add integration test
* More improvements
* Improve processor, add test
* Add more copied from
* Add more copied from
* Add more copied from
* Add more copied from
* Remove print statement
* Update README and auto mapping
* Delete files
* Delete another file
* Remove code
* Fix test
* Fix docs
* Remove asserts
* Add doc tests
* Include UDOP in exotic model tests
* Add expected tesseract decodings
* Add sentencepiece
* Use same design as T5
* Add UdopEncoderModel
* Add UdopEncoderModel to tests
* More fixes
* Fix fast tokenizer
* Fix one more test
* Remove parallelisable attribute
* Fix copies
* Remove legacy file
* Copy from T5Tokenizer
* Fix rebase
* More fixes, copy from T5
* More fixes
* Fix init
* Use ArthurZ/udop for tests
* Make all model tests pass
* Remove UdopForConditionalGeneration from auto mapping
* Fix more tests
* fixups
* more fixups
* fix the tokenizers
* remove un-necessary changes
* nits
* nits
* replace truncate_sequences_boxes with truncate_sequences for fix-copies
* nit current path
* add a test for input ids
* ids that we should get taken from c9f7a32f57
* nits converting
* nits
* apply ruff
* nits
* nits
* style
* fix slow order of addition
* fix udop fast range as well
* fixup
* nits
* Add docstrings
* Fix gradient checkpointing
* Update code examples
* Skip tests
* Update integration test
* Address comment
* Make fixup
* Remove extra ids from tokenizer
* Skip test
* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* Update year
* Address comment
* Address more comments
* Address comments
* Add copied from
* Update CI
* Rename script
* Update model id
* Add AddedToken, skip tests
* Update CI
* Fix doc tests
* Do not use Tesseract for the doc tests
* Remove kwargs
* Add original inputs
* Update casting
* Fix doc test
* Update question
* Update question
* Use LayoutLMv3ImageProcessor
* Update organization
* Improve docs
* Update forward signature
* Make images optional
* Remove deprecated device argument
* Add comment, add add_prefix_space
* More improvements
* Remove kwargs
---------
Co-authored-by: ArthurZucker <arthur.zucker@gmail.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
* change version
* nuke
* this doesn't make sense
* update some requirements.py
* revert + no main
* nits
* change cache number
* more pin
* revert
---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* Pin torch to <2.2.0
* Pin torchvision and torchaudio as well
* Playing around with versions to see if this helps
* twiddle something to restart the CI
* twiddle it back
* Try changing the natten version
* make fixup
* Revert "Try changing the natten version"
This reverts commit de0d6592c3.
* make fixup
* fix fix fix
* fix fix fix
---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* start - docs, SpeechT5 copy and rename
* add relevant code from FastSpeech2 draft, have tests pass
* make it an actual conformer, demo ex.
* matching inference with original repo, includes debug code
* refactor nn.Sequentials, start more desc. var names
* more renaming
* more renaming
* vocoder scratchwork
* matching vocoder outputs
* hifigan vocoder conversion script
* convert model script, rename some config vars
* replace postnet with speecht5's implementation
* passing common tests, file cleanup
* expand testing, add output hidden states and attention
* tokenizer + passing tokenizer tests
* variety of updates and tests
* g2p_en pckg setup
* import structure edits
* docstrings and cleanup
* repo consistency
* deps
* small cleanup
* forward signature param order
* address comments except for masks and labels
* address comments on attention_mask and labels
* address second round of comments
* remove old unneeded line
* address comments part 1
* address comments pt 2
* rename auto mapping
* fixes for failing tests
* address comments part 3 (bart-like, train loss)
* make style
* pass config where possible
* add forward method + tests to WithHifiGan model
* make style
* address arg passing and generate_speech comments
* address Arthur comments
* address Arthur comments pt2
* lint changes
* Sanchit comment
* add g2p-en to doctest deps
* move up self.encoder
* onnx compatible tensor method
* fix is symbolic
* fix paper url
* move models to espnet org
* make style
* make fix-copies
* update docstring
* Arthur comments
* update docstring w/ new updates
* add model architecture images
* header size
* md wording update
* make style
* try to stylify using ruff
* might need to remove these changes?
* use ruf format andruff check
* use isinstance instead of type comparision
* use # fmt: skip
* use # fmt: skip
* nits
* soem styling changes
* update ci job
* nits isinstance
* more files update
* nits
* more nits
* small nits
* check and format
* revert wrong changes
* actually use formatter instead of checker
* nits
* well docbuilder is overwriting this commit
* revert notebook changes
* try to nuke docbuilder
* style
* fix feature exrtaction test
* remve `indent-width = 4`
* fixup
* more nits
* update the ruff version that we use
* style
* nuke docbuilder styling
* leve the print for detected changes
* nits
* Remove file I/O
Co-authored-by: charliermarsh
<charlie.r.marsh@gmail.com>
* style
* nits
* revert notebook changes
* Add # fmt skip when possible
* Add # fmt skip when possible
* Fix
* More ` # fmt: skip` usage
* More ` # fmt: skip` usage
* More ` # fmt: skip` usage
* NIts
* more fixes
* fix tapas
* Another way to skip
* Recommended way
* Fix two more fiels
* Remove asynch
Remove asynch
---------
Co-authored-by: charliermarsh <charlie.r.marsh@gmail.com>
* fix
* last attempt
* current work
* fix forward compatibility
* save all special tokens
* current state
* revert additional changes
* updates
* remove tokenizer.model
* add a test and the fix
* nit
* revert one more break
* fix typefield issue
* quality
* more tests
* fix fields for FC
* more nits?
* new additional changes
* how
* some updates
* simplify all
* more nits
* revert some things to original
* nice
* nits
* a small hack
* more nits
* ahhaha
* fixup
* update
* make test run on ci
* use subtesting
* update
* Update .circleci/create_circleci_config.py
* updates
* fixup
* nits
* replace typo
* fix the test
* nits
* update
* None max dif pls
* a partial fix
* had to revert one thing
* test the fast
* updates
* fixup
* and more nits
* more fixes
* update
* Oupsy 👁️
* nits
* fix marian
* on our way to heaven
* Update src/transformers/models/t5/tokenization_t5.py
Co-authored-by: Lysandre Debut <hi@lysand.re>
* fixup
* Update src/transformers/tokenization_utils_fast.py
Co-authored-by: Leo Tronchon <leo.tronchon@gmail.com>
* Update src/transformers/tokenization_utils_base.py
Co-authored-by: Leo Tronchon <leo.tronchon@gmail.com>
* fix phobert
* skip some things, test more
* nits
* fixup
* fix deberta
* update
* update
* more updates
* skip one test
* more updates
* fix camembert
* can't test this one
* more good fixes
* kind of a major update
- seperate what is only done in fast in fast init and refactor
- add_token(AddedToken(..., speicla = True)) ignores it in fast
- better loading
* fixup
* more fixups
* fix pegasus and mpnet
* remove skipped tests
* fix phoneme tokenizer if self.verbose
* fix individual models
* update common tests
* update testing files
* all over again
* nits
* skip test for markup lm
* fixups
* fix order of addition in fast by sorting the added tokens decoder
* proper defaults for deberta
* correct default for fnet
* nits on add tokens, string initialized to special if special
* skip irrelevant herbert tests
* main fixes
* update test added_tokens_serialization
* the fix for bart like models and class instanciating
* update bart
* nit!
* update idefix test
* fix whisper!
* some fixup
* fixups
* revert some of the wrong chanegs
* fixup
* fixup
* skip marian
* skip the correct tests
* skip for tf and flax as well
---------
Co-authored-by: Lysandre Debut <hi@lysand.re>
Co-authored-by: Leo Tronchon <leo.tronchon@gmail.com>
* Add test_backbone for convnext
* Add TimmBackbone model
* Add check for backbone type
* Tidying up - config checks
* Update convnextv2
* Tidy up
* Fix indices & clearer comment
* Exceptions for config checks
* Correclty update config for tests
* Safer imports
* Safer safer imports
* Fix where decorators go
* Update import logic and backbone tests
* More import fixes
* Fixup
* Only import all_models if torch available
* Fix kwarg updates in from_pretrained & main rebase
* Tidy up
* Add tests for AutoBackbone
* Tidy up
* Fix import error
* Fix up
* Install nattan in doc_test_job
* Revert back to setting self._out_xxx directly
* Bug fix - out_indices mapping from out_features
* Fix tests
* Dont accept output_loading_info for Timm models
* Set out_xxx and don't remap
* Use smaller checkpoint for test
* Don't remap timm indices - check out_indices based on stage names
* Skip test as it's n/a
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Cleaner imports / spelling is hard
---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* intiial commit
* new styling
* update
* just run doctest in CI
* remove more test for fast dev
* update
* update refs
* update path and fetch upstream
* update documentatyion trests
* typo
* parse pwd
* don't check for files that are in hidden folders
* just give paths relative to transformers
* update
* update
* update
* major refactoring
* make sure options is ok
* lest test that mdx is tested
* doctest glob
* nits
* update doctest nightly
* some cleaning
* run correct test on diff
* debug
* run on a single worker
* skip_cuda_test tampkate
* updates
* add rA and continue on failure
* test options
* parse `py` codeblock?
* we don't need to replace ignore results, don't remember whyu I put it
* cleanup
* more cleaning
* fix arg
* more cleaning
* clean an todo
* more pre-processing
* doctest-module has none so extra `- ` is needed
* remove logs
* nits
* doctest-modules ....
* oups
* let's use sugar
* make dataset go quiet
* add proper timeout
* nites
* spleling timeout
* update
* properly skip tests that have CUDSA
* proper skipping
* cleaning main and get tests to run
* remove make report?
* remove tee
* some updates
* tee was removed but is the full output still available?
* [all-test]
* only our tests
* don't touch tee in this PR
* no atee-sys
* proper sub
* monkey
* only replace call
* fix sub
* nits
* nits
* fix invalid syntax
* add skip cuda doctest env variable
* make sure all packages are installed
* move file
* update check repo
* revert changes
* nit
* finish cleanup
* fix re
* findall
* update don't test init files
* ignore pycache
* `-ignore-pycache` when running pytests
* try to fix the import missmatch error
* install dec
* pytest is required as doctest_utils imports things from it
* the only log issues were dataset, ignore results should work
* more cleaning
* Update .circleci/create_circleci_config.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
* [ydshieh] empty string if cuda is found
* [ydshieh] fix condition
* style
* [ydshieh] fix
* Add comment
* style
* style
* show failure
* trigger CI
---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
* Add kernel size to NATTEN's QK arguments.
The new NATTEN 0.14.5 supports PyTorch 2.0, but also adds an additional
argument to the QK operation to allow optional RPBs.
This ends up failing NATTEN tests.
This commit adds NATTEN back to circleci and adds the arguments to get
it working again.
* Force NATTEN >= 0.14.5
* Mark pipeline tests to skip them easily
* Mark the mixin as pipeline test
* Update src/transformers/testing_utils.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
---------
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
* Add a new test to check config attributes being used
* Add a new test to check config attributes being used
* Add a new test to check config attributes being used
* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Apply suggestions
* Update allowed cases - part 1
* Update allowed cases - part 2
* final
---------
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
* Result of black 23.1
* Update target to Python 3.7
* Switch flake8 to ruff
* Configure isort
* Configure isort
* Apply isort with line limit
* Put the right black version
* adapt black in check copies
* Fix copies
* initial commit. added tip placeholders and a script
* removed unused imports, fixed paths
* fixed generated links
* make style
* split language modeling doc into two: causal language modeling and masked language modeling
* added check_task_guides.py to make fix-copies
* review feedback addressed
* Add DiNAT
* Adds DiNAT + tests
* Minor fixes
* Added HF model
* Add natten to dependencies.
* Cleanup
* Minor fixup
* Reformat
* Optional NATTEN import.
* Reformat & add doc to _toctree
* Reformat (finally)
* Dummy objects for DiNAT
* Add NAT + minor changes
Adds NAT as its own independent model + docs, tests
Adds NATTEN to ext deps to ensure ci picks it up.
* Remove natten from `all` and `dev-torch` deps, add manual pip install to ci tests
* Minor fixes.
* Fix READMEs.
* Requested changes to docs + minor fixes.
* Requested changes.
* Add NAT/DiNAT tests to layoutlm_job
* Correction to Dinat doc.
* Requested changes.
* Try PT1.13 by removing torch scatter
* Skip failing tests
* Style
* Remvoe testing extras for repo utils
* Try with all decorators
* Try to wipe the cache
* Fix all tests?
* Try this way
* Fix comma
* Update to main
* Try with less deps
* Quality
* Change the import of kenlm from github to pypi
* Change the import of kenlm from github to pypi in circleci config
* Fix code quality issues
* Fix isort issue, add kenlm in extras for audio
* Add kenlm to deps
* Add kenlm to deps
* Commit 'make fixup' changes
* Remove version from kenlm deps
* commit make fixup changes
* Remove manual installation of kenlm
* Remove manual installation of kenlm
* Remove manual installation of kenlm
* Generate config on the file
* Fake modif for all test launch
* Upload more artifacts
* Typo and quality
* Try converting th yml to txt
* Leave my long lines alone yaml
* Debug prints
* Debug prints v2
* Try without sorting
* Was it really working before?
* Typo
* Use a parameter
* Use a parameter?
* Typo
* Here is some JSON
* Another try
* Learning to read...
* Check default is used
* Does this work?
* With continuation
* WiP
* Use a parameter for test list
* Other fake modif
* With the comma
* Name the test step so it doesn't blow up
* Just one example modification
* Final steps
* Add nightlies
* Move config generator
* Add trigger for nightlies
* Better workflow
* Rebase on recent changes
* Fix config creation
* Fake modif in an example
* Now fake modif in one config file
* Fix install step in custom tokenizers test
* Fix generated config
* Better fix hopefully
* Finally test modif in setup
* final cleanup
* Rework pipeline tests
* Try to fix Flax tests
* Try to put it before
* Use a new decorator instead
* Remove ignore marker since it doesn't work
* Filter pipeline tests
* Woopsie
* Use the fitlered list
* Clean up and fake modif
* Remove init
* Revert fake modif
* add sudachipy and jumanpp tokenizers for bert_japanese
* use ImportError instead of ModuleNotFoundError in SudachiTokenizer and JumanppTokenizer
* put test cases of test_tokenization_bert_japanese in one line
* add require_sudachi and require_jumanpp decorator for testing
* add sudachi and pyknp(jumanpp) to dependencies
* remove sudachi_dict_small and sudachi_dict_full from dependencies
* empty commit for ci
* Fix test fetching for examples
* Fake example modif
* Debug statements
* Typo
* You need to persist the file...
* Revert change in example
* Remove debug statements
* Tests conditional run
* Syntax
* Deps
* Try early exit
* Another way
* Test with no tests to run
* Test all
* Typo
* Try this way
* With tests to run
* Mostly finished
* Typo
* With a modification in one file only
* No change, no tests
* Final cleanup
* Address review comments
