GitLab

* 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.

* Pin ffspec

* Typo

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

* Fix compatibility with 1.12

* Remove pin from examples requirements

* Update torch scatter version

* Fix compatibility with 1.12

* Remove pin from examples requirements

* Update torch scatter version

* fix torch.onnx.symbolic_opset12 import

* Reject bad version
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Update pinned hhub version

* Make style

* Fix ROUGE add example check and update README

* Stay consistent in values

* Fix slow CI by pinning resampy

* Actually put it in the speech dependencies

* 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

* Migrate HFDeepSpeedConfig from trfrs to accelerate

* add `accelerate` to testing dep

* addressing comments

* addressing comments

Using `_shared_state` and avoiding object creation. This is necessary as `notebook_launcher` in `launcers.py` checks `len(AcceleratorState._shared_state)>0` to throw an error.

* resolving comments

1. Use simple API from accelerate to manage the deepspeed config integration
2. Update the related documentation

* reverting changes and addressing comments

* docstring correction

* addressing nits

* addressing nits

* addressing nits 3

* bumping up the accelerate version to 0.10.0

* resolving import

* update setup.py to include deepspeed dependencies

* Update dependency_versions_table.py

* fixing imports

* reverting changes to CI dependencies for "run_tests_pipelines_tf*" tests

These changes didn't help with resolving the failures and I believe this needs to be addressed in another PR.

* removing `accelerate` as hard dependency

Resolves issues related to CI Tests

* adding `accelerate` as dependency for building docs

resolves failure in Build PR Documentation test

* adding `accelerate` as dependency in "dev" to resolve doc build issue

* resolving comments

1. adding `accelerate` to extras["all"]
2. Including check for accelerate too before import HFDeepSpeedConfig from there
Co-Authored-By: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* [trainer/deepspeed] load_best_model

* to sync with DS PR #1947

* simplify

* rework load_best_model test

* cleanup

* bump deepspeed>=0.6.5
Co-authored-by: Olatunji Ruwase <olruwase@microsoft.com>

* Initial work

* More or less finished with first draft

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

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

* Fix randomly initialized weights

* Update src/transformers/modeling_utils.py
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Address review comments

* Rename DeepSpeed folder to temporarily fix the test issue?

* Revert to try if Accelerate fix works

* Use latest Accelerate release

* Quality and fixes

* Style

* Quality

* Add doc

* Test + fix

* More blocks
Co-authored-by: Stas Bekman <stas00@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Lysandre Debut <lysandre.debut@reseau.eseo.fr>

* Pin dill for now

* Try this version?

* force install

* Actually use dep in testing

* Try a larger pin

* Black preview

* Fixup too!

* Fix check copies

* Use the same version as the CI

* Bump black

* model zoo take 2

* add deberta

* new param for zero2

* doc update

* doc update

* add layoutlm

* bump deepspeed

* add deberta-v2, funnel, longformer

* new models

* style

* add t5_v1

* update TAPAS status

* reorg problematic models

* move doc to another PR

* style

* fix checkpoint check test

* making progress on more models running

* cleanup

* new version

* cleanup

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

- Adds auto_batch_size finder 
- Moves training loop to an inner training loop

* Skip RoFormer ONNX test if rjieba not installed

* Update deps table

* Skip RoFormer serialization test

* Fix RoFormer vocab

* Add rjieba to CircleCI

* Clean up setup.py

* Trigger CI

* Upgrade Python used