GitLab

* add gradient checkpointing for distilbert

* reformatted

* fix: Apostraphe splitting in the BasicTokenizer for CLIPTokenizer

* account for apostrophe at start of new word

* remove _run_split_on_punc, use re.findall instead

* remove debugging, make style and quality

* use pattern and punc splitting, repo-consistency will fail

* remove commented out debugging

* adds bool args to BasicTokenizer, remove pattern

* do_split_on_punc default True

* clean stray comments and line breaks

* rebase, repo-consistency

* update to just do punctuation split

* add unicode normalizing back

* remove redundant line

* Add model

* Add ability to get classification head weights

* Add docs

* Add imports to __init__.py

* Run style

* Fix imports and add mdx doc

* Run style

* Fix copyright

* Fix config docstring

* Remove imports of ViViTLayer and load_tf_weights_in_vivit

* Remove FeatureExtractor and replace with ImageProcessor everywhere

* Remove ViViTForPreTraining from vivit.mdx

* Change ViViT -> Vivit everywhere

* Add model_doc to _toctree.yml

* Replace tuples with lists in arguments of VivitConfig

* Rename patch_size to tubelet_size in TubeletEmbeddings

* Fix checkpoint names

* Add tests

* Remove unused num_frames

* Fix imports for VivitImageProcessor

* Minor fixes

* Decrease number of frames in VivitModelTester from 32 to 16

* Decrease number of frames in VivitModelTester from 16 to 8

* Add initialization for pos embeddings

* Rename Vivit -> ViViT in some places

* Fix docstring and formatting

* Rename TubeletEmbeddings -> VivitTubeletEmbeddings

* Remove load_tf_weights_in_vivit

* Change checkpoint name

* Remove Vivit _TOKENIZER_FOR_DOC

* Fix

* Fix VivitTubeletEmbeddings and pass config object as parameter

* Use image_size and num_frames instead of video_size

* Change conversion script and fix differences with the orig implementation

* Fix docstrings

* Add attention head pruning

* Run style and fixup

* Fix tests

* Add ViViT to video_classification.mdx

* Save processor in conversion script

* Fix

* Add image processor test

* Run fixup and style

* Run fix-copies

* Update tests/models/vivit/test_modeling_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/vivit/test_modeling_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Use PyAV instead of decord

* Add unittest.skip

* Run style

* Remove unneeded test

* Update docs/source/en/model_doc/vivit.mdx
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/configuration_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/image_processing_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/image_processing_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/modeling_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add model

* Add docs

* Run style

* Fix imports and add mdx doc

* Remove FeatureExtractor and replace with ImageProcessor everywhere

* Change ViViT -> Vivit everywhere

* Rename Vivit -> ViViT in some places

* Update src/transformers/models/vivit/image_processing_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Run make style

* Remove inputs save

* Fix image processor

* Fix

* Run `make style`

* Decrease parameters of VivitModelTester

* Decrease tubelet size

* Rename vivit.mdx

* Update src/transformers/models/vivit/image_processing_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/image_processing_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/vivit/image_processing_vivit.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Fix default values in image_processing_vivit.py

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

[Patch-t5-tokenizer] Patches the changes on T5 to make sure previous behaviour is still valide for beginning of words (#24622)

* patch `_tokenize` function

* more tests

* properly fix

* fixup

* Update src/transformers/models/t5/tokenization_t5.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* fix without ifs

* update

* protect import

* add python processing

* is first needed

* add doc and update with lefacy

* updaate

* fix T5 SPM converter

* styling

* fix T5 warning

* add is_seqio_available

* remove is_first

* revert some changes

* more tests and update

* update llama test batterie

* fixup

* refactor T5 spm common tests

* draft the llama tests

* update

* uopdate test

* nits

* refine

* name nit

* fix t5 tests

* fix T5

* update

* revert convert slow to fast changes that fail lots of tests

* legacy support

* fixup

* nits is first not defined

* don't use legacy behaviour for switch transformers

* style

* My attempt to check.

* nits

* fixes

* update

* fixup

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* updates

* fixup

* add legacy warning

* fixup

* warning_once nit

* update t5 documentation test

* update llama tok documentation

* add space to warning

* nits

* nit

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* last nits

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* Initial commit

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

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

* Cleanup config docstring

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

* Convert to relative imports

* Remove torch < 1.8 warning

* Restructure cos_sin header

* qkv -> query, key, value

* Refactor attention calculation

* Add a couple of config variables to account for the different checkpoints

* Successful merging of the code paths!

* Fix misplaced line in the non-parallel attention path

* Update config and tests

* Add a pad_token_id when testing

* Support output_attentions when alibi is None

* make fixup

* Skip KV cache shape test

* No more _keys_to_ignore_on_load_missing

* Simplify self attention a bit

* Simplify self attention a bit

* make fixup

* stash commit

* Some more attention mask updates

* Should pass all tests except assisted generation!

* Add big model generation test

* make fixup

* Add temporary workaround for test

* Test overrides for assisted generation

* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update tests/models/falcon/test_modeling_falcon.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Test overrides for assisted generation

* Add generation demo

* Update copyright

* Make the docstring model actually small

* Add module-level docstring

* Remove all assertions

* Add copied from bloom

* Reformat the QKV layer

* Add copied from bloom

* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Remove unused line and reformat

* No single letter variables

* Cleanup return names

* Add copied from line

* Remove the deprecated arguments blocks

* Change the embeddings test to an alibi on/off test

* Remove position_ids from FalconForQA

* Remove old check for token type IDs

* Fix the alibi path when multi_query is False

* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/falcon/modeling_falcon.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update tests/models/falcon/test_modeling_falcon.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update config naming

* Fix typo for new_decoder_architecture

* Add some comments

* Fix docstring

* Fix docstring

* Create range in the right dtype from the start

* Review comment cleanup

* n_head_kv -> num_kv_heads

* self.alibi -> self.use_alibi

* self.num_kv -> self.num_kv_heads

* Reorder config args

* Made alibi arguments Optional

* Add all model docstrings

* Add extra checkpoints

* Add author info for Falcon

* Stop removing token_type_ids because our checkpoints shouldn't return it anymore

* Add one hopeful comment for the future

* Fix typo

* Update tests, fix cache issue for generation

* Use -1e9 instead of -inf to avoid float overflow

* Recompute the rotary embeddings much less often

* Re-enable disabled tests

* One final fix to attention mask calculation, and update tests

* Cleanup targeting falcon-40b equivalency

* Post-rebase docs update

* Update docstrings, especially in the config

* More descriptive variable names, and comments where we can't rename them

---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

[`T5`] Adding model_parallel = False to `T5ForQuestionAnswering` and `MT5ForQuestionAnswering` (#24684)

Adding model_parallel = False

* Add all files

* Update masked_language_modeling.md

* fix mlm models

* fix conflicts

* fix conflicts

* fix copies

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Reduce seq_len and hidden_size in ModelTester

* remove output_attentions

* fix conflicts

* remove copied from statements

* Apply suggestions from code review
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* feat: Add `_build_conversation_input_ids` to GPT-SW3 tokenizer, adjust line length

* feat: Merge in PR https://github.com/huggingface/transformers/pull/24504

.

This allows the GPT-SW3 models (and other GPT-2 based models) to be 4-bit quantised
using `load_in_4bit` with `bitsandbytes`.

* fix: F-string

* fix: F-string

* fix: Remove EOS token from all responses

* fix: Remove redundant newlines

* feat: Add `load_in_4bit` to `Pipeline`

* fix: Separate turns with `\n<s>\n` rather than `<s>`

* fix: Add missing newline in prompt

* tests: Add unit tests for the new `_build_conversation_input_ids` method

* style: Automatic style correction

* tests: Compare encodings rather than decodings

* fix: Remove `load_in_4bit` from pipeline arguments

* docs: Add description and references of the GPT-SW3 chat format

* style: Line breaks

* Apply suggestions from code review

Fix Conversation type hints
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* fix: Import TYPE_CHECKING

* style: Run automatic fixes

* tests: Remove `_build_conversation_input_ids` unit tests

* tests: Remove import of `Conversation` in GPT-SW3 unit test

* style: Revert formatting

* style: Move TYPE_CHECKING line after all imports

* style: Imports order

* fix: Change prompt to ensure that `sp_model.encode` and `encode` yields same result

* docs: Add TODO comment related to the addition of whitespace during decoding

* style: Automatic style checks

* fix: Remove final whitespace in prompt, as prefix whitespace is used by sentencepiece

---------
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

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

* update

* add umt5 to auto tokenizer mapping

* nits

* fixup

* fix failing torch test

Fix integration

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

* update ds and fsdp ckpt logic

* refactoring

* fix 🐛

* resolve comment

* fix issue with overriding of the fsdp config set by accelerate

* add attention dropout, post attention dropout, post mlp dropout to gpt-neox

* fix typo

* add documentation

* fix too long line

* ran Checking/fixing src/transformers/models/gpt_neox/configuration_gpt_neox.py src/transformers/models/gpt_neox/modeling_gpt_neox.py
python utils/custom_init_isort.py
python utils/sort_auto_mappings.py
doc-builder style src/transformers docs/source --max_len 119 --path_to_docs docs/source
python utils/check_doc_toc.py --fix_and_overwrite
running deps_table_update
updating src/transformers/dependency_versions_table.py
python utils/check_copies.py
python utils/check_table.py
python utils/check_dummies.py
python utils/check_repo.py
Checking all models are included.
Checking all models are public.
Checking all models are properly tested.
Checking all objects are properly documented.
Checking all models are in at least one auto class.
Checking all names in auto name mappings are defined.
Checking all keys in auto name mappings are defined in `CONFIG_MAPPING_NAMES`.
Checking all auto mappings could be imported.
Checking all objects are equally (across frameworks) in the main __init__.
python utils/check_inits.py
python utils/check_config_docstrings.py
python utils/check_config_attributes.py
python utils/check_doctest_list.py
python utils/update_metadata.py --check-only
python utils/check_task_guides.py

* LlamaTokenizer should be picklable

* make fixup

* Add Nucleotide Transformer notebooks and restructure lists

* Add missing linebreak!

* fix

* fix

* fix

* [test all] commit

* [test all] commit

* [test all] commit

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

* Add mps function utils

* black formating

* format fix

* Added MPS functionality to transformers

* format fix

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

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

* Make warning disappear for remote code in pipelines

* Make sure it works twice in a row

* No need for that

* Add finetuned_from tag in the autogenerated model card

* Update name

* including the threshold alert in warning messages.

* Updating doc owlvit.md including post_process_object_detection function with threshold.

* fix

* Sort filenames alphabetically

* Add check for order

* open llama fp16 bug fix

* bug fix

* bug fixed

* make style

* Update modeling_llama.py

* apply formatting

* Address amy's comment

---------

Co-authored-by: Prathik Rao <prathikrao@microsoft.com@orttrainingdev8.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>
Co-authored-by: root <root@orttrainingdev8.d32nl1ml4oruzj4qz3bqlggovf.px.internal.cloudapp.net>

* Fix audio feature extractor deps

* use audio utils window over torch window

precompiled_charsmap checking before adding to the normalizers' list for XLNetTokenizerFast conversion. (#24618)

* precompiled_charsmap checking before adding to the normalizers' list.

* precompiled_charsmap checking for all Sentencepiece tokenizer models

* precompiled_charsmap checking for SPM tokenizer models - correct formatting

* fix loading dataset link

* Update examples/tensorflow/translation/run_translation.py
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* Update examples/tensorflow/translation/run_translation.py
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

---------
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

* [Time-Series] Added blog-post to tips

* added Resources to time series models docs

* removed "with Bert"

* docs: ko: `perplexity.mdx`

* translate comment

* reference english file

* change extension

* update toctree