GitLab

* Adapt repository creation to latest hf_hub

* Update all examples

* Fix other tests, add Flax examples

* Address review comments

* update pyknp to rhoknp

* fix linter

* fix linter

* fix linter

* fix linter

* fix linter

* support rhoknp==1.1.0, fix testcase

* Install sentencepiece in DS CI image

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

* 🚧 wip video classification pipeline

* 🚧 wip - add is_decord_available check

* 🐛 add missing import

* ✅ add tests

* 🔧 add decord to setup extras

* 🚧 add is_decord_available

* ✨ add video-classification pipeline

* 📝 add video classification pipe to docs

* 🐛 add missing VideoClassificationPipeline import

* 📌 add decord install in test runner

* ✅ fix url inputs to video-classification pipeline

* ✨ updates from review

* 📝 add video cls pipeline to docs

* 📝 add docstring

* 🔥 remove unused import

* 🔥 remove some code

* 📝 docfix

* 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

* 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

* pin torch to < 1.13

* pin torch to < 1.13
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* 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

* [Wav2Vec2] Allow user-managed Pool in Wav2Vec2ProcessorWithLM.batch_decode

* [Wav2Vec2] Add user-managed LM's pool tests and usage examples

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

* [Wav2Vec2] Fix hyperlink references
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* 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

* Update protobuf dependency to fix vulnerability

* Update `dependency_versions_table.py` to include updated protobuf.

* initial files

* initial model via cli

* typos

* make a start on the model config

* ready with configuation

* remove tokenizer ref.

* init the transformer

* added initial model forward to return dec_output

* require gluonts

* update dep. ver table and add as extra

* fixed typo

* add type for prediction_length

* use num_time_features

* use config

* more config

* typos

* opps another typo

* freq can be none

* default via transformation is 1

* initial transformations

* fix imports

* added transform_start_field

* add helper to create pytorch dataloader

* added inital val and test data loader

* added initial distr head and loss

* training working

* remove TimeSeriesTransformerTokenizer
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>

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

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

* fixed copyright

* removed docs

* remove time series tokenizer

* fixed docs

* fix text

* fix second

* fix default

* fix order

* use config directly

* undo change

* fix comment

* fix year

* fix import

* add additional arguments for training vs. test

* initial greedy inference loop

* fix inference

* comment out token inputs to enc dec

* Use HF encoder/decoder

* fix inference

* Use Seq2SeqTSModelOutput output

* return Seq2SeqTSPredictionOutput

* added default arguments

* fix return_dict true

* scale is a tensor

* output static_features for inference

* clean up some unused bits

* fixed typo

* set return_dict if none

* call model once for both train/predict

* use cache if future_target is none

* initial generate func

* generate arguments

* future_time_feat is required

* return SampleTSPredictionOutput

* removed unneeded classes

* fix when params is none

* fix return dict

* fix num_attention_heads

* fix arguments

* remove unused shift_tokens_right

* add different dropout configs

* implement FeatureEmbedder, Scaler and weighted_average

* remove gluonts dependency

* fix class names

* avoid _variable names

* remove gluonts dependency

* fix imports

* remove gluonts from configuration

* fix docs

* fixed typo

* move utils to examples

* add example requirements

* config has no freq

* initial run_ts_no_trainer

* remove from ignore

* fix output_attentions and removed unsued getters/setters

* removed unsed tests

* add dec seq len

* add test_attention_outputs

* set has_text_modality=False

* add config attribute_map

* make style

* make fix-copies

* add encoder_outputs to TimeSeriesTransformerForPrediction forward

* Improve docs, add model to README

* added test_forward_signature

* More improvements

* Add more copied from

* Fix README

* Fix remaining quality issues

* updated encoder and decoder

* fix generate

* output_hidden_states and use_cache are optional

* past key_values returned too

* initialize weights of distribution_output module

* fixed more tests

* update test_forward_signature

* fix return_dict outputs

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

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

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

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

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

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

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

* removed commented out tests

* added neg. bin and normal output

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

* move to one line

* Add docstrings

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

* add try except for assert and raise

* try and raise exception

* fix the documentation formatting

* fix assert call

* fix docstring formatting

* removed input_ids from DOCSTRING

* Update input docstring

* Improve variable names

* Update order of inputs

* Improve configuration

* Improve variable names

* Improve docs

* Remove key_length from tests

* Add extra docs

* initial unittests

* added test_inference_no_head test

* added test_inference_head

* add test_seq_to_seq_generation

* make style

* one line

* assert mean prediction

* removed comments

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

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

* fix order of args

* make past_observed_mask optional as well

* added Amazon license header

* updated utils with new fieldnames

* make style

* cleanup

* undo position of past_observed_mask

* fix import

* typo

* more typo

* rename example files

* remove example for now

* Update docs/source/en/_toctree.yml
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

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

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

* Update modeling_time_series_transformer.py

fix style

* fixed typo

* fix typo and grammer

* fix style
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: NielsRogge <niels.rogge1@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add `beautifulsoup4` to extras["testing"]
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Poc to use safetensors

* Typo

* Final version

* Add tests

* Save with the right name!

* Update tests/test_modeling_common.py
Co-authored-by: Julien Chaumond <julien@huggingface.co>

* Support for sharded checkpoints

* Test from Hub part 1

* Test from hub part 2

* Fix regular checkpoint sharding

* Bump for fixes
Co-authored-by: Julien Chaumond <julien@huggingface.co>

* Use  instead of  from huggingface_hub

* bump huggingface_hub to 0.10.0 + make deps_table_update

* Allowing users to use the latest `tokenizers` release !

* Upgrading the versions table too.

* 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

* Fix CI for custom tokenizers

* Add nightly tests

* Run CI, run!

* Fix paths

* Typos

* Fix test

* Automate check for new pipelines and metadata update

* Add Datasets to quality extra

* First draft

* More improvements

* Improve model, add custom CUDA code

* Import torch before

* Add script that imports custom layer

* Add everything in new ops directory

* Import custom layer in modeling file

* Fix ARCHIVE_MAP typo

* Creating the custom kernel on the fly.

* Import custom layer in modeling file

* More improvements

* Fix CUDA loading

* More improvements

* Improve conversion script

* Improve conversion script

* Make it work until encoder_outputs

* Make forward pass work

* More improvements

* Make logits match original implementation

* Make implementation also support single_scale model

* Add support for single_scale and dilation checkpoint

* Add support for with_box_refine model

* Support also two stage model

* Improve tests

* Fix more tests

* Make more tests pass

* Upload all models to the hub

* Clean up some code

* Improve decoder outputs

* Rename intermediate hidden states and reference points

* Improve model outputs

* Move tests to dedicated folder

* Improve model outputs

* Fix retain_grad test

* Improve docs

* Clean up and make test_initialization pass

* Improve variable names

* Add copied from statements

* Improve docs

* Fix style

* Improve docs

* Improve docs, move tests to model folder

* Fix rebase

* Remove DetrForSegmentation from auto mapping

* Apply suggestions from code review

* Improve variable names and docstrings

* Apply some more suggestions from code review

* Apply suggestion from code review

* better docs and variables names

* hint to num_queries and two_stage confusion

* remove asserts and code refactor

* add exception if two_stage is True and with_box_refine is False

* use f-strings

* Improve docs and variable names

* Fix code quality

* Fix rebase

* Add require_torch_gpu decorator

* Add pip install ninja to CI jobs

* Apply suggestion of @sgugger

* Remove DeformableDetrForObjectDetection from auto mapping

* Remove DeformableDetrModel from auto mapping

* Add model to toctree

* Add model back to mappings, skip model in pipeline tests

* Apply @sgugger's suggestion

* Fix imports in the init

* Fix copies

* Add CPU implementation

* Comment out GPU function

* Undo previous change

* Apply more suggestions

* Remove require_torch_gpu annotator

* Fix quality

* Add logger.info

* Fix logger

* Fix variable names

* Fix initializaztion

* Add missing initialization

* Update checkpoint name

* Add model to doc tests

* Add CPU/GPU equivalence test

* Add Deformable DETR to pipeline tests

* Skip model for object detection pipeline
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: Nouamane Tazi <nouamane98@gmail.com>
Co-authored-by: Sylvain Gugger <Sylvain.gugger@gmail.com>

This reverts commit d8cf3b20.

* update black target version

* add comment

as per https://github.com/huggingface/transformers/pull/18955#issuecomment-1242081649

* revert change

Will only update to 3.7 after black 2023 upgrade in January

* Clean up utils.hub using the latest from hf_hub

* Adapt test

* Address review comment

* Fix test

* Pin rouge_score

* Pin also in dependency_versions_table

* Update excluded versions

* Revert "Update excluded versions"

This reverts commit 0d0362df30a816108835f5c061272ee2bafec270.

* Revert "Revert "Update excluded versions""

This reverts commit 66c47af8a6baff253575631b0ba392e0354b6d56.