GitLab

* mixed precision support via accelerate

* fix issues

* fix for the sharded ddp case

* fix flax and tf failing tests

* `refactor the place to create `Accelerator` object

* move ddp prep to accelerate

* fix 😅

* resolving comments

* move fsdp handling to accelerate

* fixex

* fix saving

* shift torch dynamo handling to accelerate

* shift deepspeed integration and save & load utils to accelerate

* fix accelerate launcher support

* oops

* fix 🐛

* save ckpt fix

* Trigger CI

* nasty 🐛 😅

* as deepspeed needs grad_acc fixes, transfer grad_acc to accelerate

* make tests happy

* quality ✨

* loss tracked needs to account for grad_acc

* fixing the deepspeed tests

* quality ✨

* 😅😅😅

* tests 😡

* quality ✨



* Trigger CI

* resolve comments and fix the issue with the previous merge from branch

* Trigger CI

* accelerate took over deepspeed integration

---------
Co-authored-by: Stas Bekman <stas@stason.org>

* Add tf code for efficientformer

* Fix return dict bug - return last hidden state after last stage

* Fix corresponding return dict bug

* Override test tol

* Change default values of training to False

* Set training to default False X3

* Rm axis from ln

* Set init in dense projection

* Rm debug stuff

* Make style; all tests pass.

* Modify year to 2023

* Fix attention biases codes

* Update the shape list logic

* Add a batch norm eps config

* Remove extract comments in test files

* Add conditional attn and hidden states return for serving output

* Change channel dim checking logic

* Add exception for withteacher model in training mode

* Revert layer count for now

* Add layer count for conditional layer naming

* Transpose for conv happens only in main layer

* Make tests smaller

* Make style

* Update doc

* Rm from_pt

* Change to actual expect image class label

* Remove stray print in tests

* Update image processor test

* Remove the old serving output logic

* Make style

* Make style

* Complete test

* add \n

* removed copied from header

* mixed precision support via accelerate

* fix issues

* fix for the sharded ddp case

* fix flax and tf failing tests

* `refactor the place to create `Accelerator` object

* move ddp prep to accelerate

* fix 😅

* resolving comments

* move fsdp handling to accelerate

* fixex

* fix saving

* shift torch dynamo handling to accelerate

* mixed precision support via accelerate

* fix issues

* fix for the sharded ddp case

* fix flax and tf failing tests

* `refactor the place to create `Accelerator` object

* move ddp prep to accelerate

* fix 😅

* resolving comments

* move fsdp handling to accelerate

* fixex

* fix saving

* docs: ko: pad_truncation.mdx

* feat: manual draft

* fix: resolve suggestions
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

---------
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

* mixed precision support via accelerate

* fix issues

* fix for the sharded ddp case

* fix flax and tf failing tests

* `refactor the place to create `Accelerator` object

* move ddp prep to accelerate

* fix 😅

* resolving comments

* mixed precision support via accelerate

* fix issues

* fix for the sharded ddp case

* fix flax and tf failing tests

* `refactor the place to create `Accelerator` object

* address comments by removing debugging print statements

Adds support for AutoProcessor.from_pretrained to MCTCTProcessor models

* Editing issue with pickle def with lambda function

* fix type

* Made helper function private

* delete tab

---------
Co-authored-by: georgebredis <9454-georgebredis@users.noreply.gitlab.aicrowd.com>

* Better warning

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

* format line

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

* Update the processor when changing add_eos and add_bos

* fixup

* update

* add a test

* fix failing tests

* fixup

* initial flyte callback

* lint

* logs should still be saved to Flyte even if pandas isn't install (unlikely)

* cr - flyte team

* add docs for Flytecallback

* fix doc string - cr sgugger

* Apply suggestions from code review

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

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

* docs: ko: troubleshooting.mdx

* revised: fix _toctree.yml #23112

* feat: nmt draft `troubleshooting.mdx`

* fix: manual edits `troubleshooting.mdx`

* revised: resolve suggestions troubleshooting.mdx
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

---------
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* task/video_classification translated
Co-Authored-By: Hyeonseo Yun <0525_hhgus@naver.com>
Co-Authored-By: Gabriel Yang <gabrielwithhappy@gmail.com>
Co-Authored-By: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-Authored-By: Nayeon Han <nayeon2.han@gmail.com>
Co-Authored-By: Wonhyeong Seo <wonhseo@kakao.com>
Co-Authored-By: Jungnerd <46880056+jungnerd@users.noreply.github.com>

* Update docs/source/ko/tasks/video_classification.mdx
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

* Update docs/source/ko/tasks/video_classification.mdx
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

* Update docs/source/ko/tasks/video_classification.mdx
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

* Update docs/source/ko/tasks/video_classification.mdx
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

* Update docs/source/ko/tasks/video_classification.mdx
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

* Update docs/source/ko/tasks/video_classification.mdx
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

* Update docs/source/ko/tasks/video_classification.mdx
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

* Update docs/source/ko/tasks/video_classification.mdx
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>

* Update docs/source/ko/tasks/video_classification.mdx
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* Update docs/source/ko/tasks/video_classification.mdx
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* Apply suggestions from code review
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>
Co-authored-by: Gabriel Yang <gabrielwithhappy@gmail.com>

* Update video_classification.mdx

* Update _toctree.yml

* Update _toctree.yml

* Update _toctree.yml

* Update _toctree.yml

---------
Co-authored-by: Hyeonseo Yun <0525_hhgus@naver.com>
Co-authored-by: Gabriel Yang <gabrielwithhappy@gmail.com>
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-authored-by: Nayeon Han <nayeon2.han@gmail.com>
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

* docs: ko: fast_tokenizer.mdx

content - translated
Co-Authored-By: Gabriel Yang <gabrielwithhappy@gmail.com>
Co-Authored-By: Nayeon Han <nayeon2.han@gmail.com>
Co-Authored-By: Hyeonseo Yun <0525_hhgus@naver.com>
Co-Authored-By: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-Authored-By: Jungnerd <46880056+jungnerd@users.noreply.github.com>
Co-Authored-By: Wonhyeong Seo <wonhseo@kakao.com>

* Update docs/source/ko/fast_tokenizers.mdx
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* Update docs/source/ko/fast_tokenizers.mdx
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* Update docs/source/ko/fast_tokenizers.mdx
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* Update docs/source/ko/fast_tokenizers.mdx
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* Update docs/source/ko/fast_tokenizers.mdx
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* Update docs/source/ko/fast_tokenizers.mdx
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>

* Update docs/source/ko/fast_tokenizers.mdx
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

* Update fast_tokenizers.mdx

* Update fast_tokenizers.mdx

* Update fast_tokenizers.mdx

* Update fast_tokenizers.mdx

* Update _toctree.yml

---------
Co-authored-by: Gabriel Yang <gabrielwithhappy@gmail.com>
Co-authored-by: Nayeon Han <nayeon2.han@gmail.com>
Co-authored-by: Hyeonseo Yun <0525_hhgus@naver.com>
Co-authored-by: Sohyun Sim <96299403+sim-so@users.noreply.github.com>
Co-authored-by: Jungnerd <46880056+jungnerd@users.noreply.github.com>
Co-authored-by: Wonhyeong Seo <wonhseo@kakao.com>
Co-authored-by: Hyeonseo Yun <0525yhs@gmail.com>

* move input features to GPU

* skip these tests because undefined behavior

* unskip tests

SAM shape flexibility fixes for compilation

* add type hint in pipeline model argument

* add pretrainedmodel and tfpretainedmodel type hint

* make type hints string

* ran `transformers-cli add-new-model-like`

* added `AutoformerLayernorm` and `AutoformerSeriesDecomposition`

* added `decomposition_layer` in `init` and `moving_avg` to config

* added `AutoformerAutoCorrelation` to encoder & decoder

* removed caninical self attention `AutoformerAttention`

* added arguments in config and model tester. Init works! 😁

* WIP autoformer attention with autocorrlation

* fixed `attn_weights` size

* wip time_delay_agg_training

* fixing sizes and debug time_delay_agg_training

* aggregation in training works! 😁

* `top_k_delays` -> `top_k_delays_index` and added `contiguous()`

* wip time_delay_agg_inference

* finish time_delay_agg_inference 😎

* added resize to autocorrelation

* bug fix: added the length of the output signal to `irfft`

* `attention_mask = None` in the decoder

* fixed test: changed attention expected size, `test_attention_outputs` works!

* removed unnecessary code

* apply AutoformerLayernorm in final norm in enc & dec

* added series decomposition to the encoder

* added series decomp to decoder, with inputs

* added trend todos

* added autoformer to README

* added to index

* added autoformer.mdx

* remove scaling and init attention_mask in the decoder

* make style

* fix copies

* make fix-copies

* inital fix-copies

* fix from https://github.com/huggingface/transformers/pull/22076



* make style

* fix class names

* added trend

* added d_model and projection layers

* added `trend_projection` source, and decomp layer init

* added trend & seasonal init for decoder input

* AutoformerModel cannot be copied as it has the decomp layer too

* encoder can be copied from time series transformer

* fixed generation and made distrb. out more robust

* use context window to calculate decomposition

* use the context_window for decomposition

* use output_params helper

* clean up AutoformerAttention

* subsequences_length off by 1

* make fix copies

* fix test

* added init for nn.Conv1d

* fix IGNORE_NON_TESTED

* added model_doc

* fix ruff

* ignore tests

* remove dup

* fix SPECIAL_CASES_TO_ALLOW

* do not copy due to conv1d weight init

* remove unused imports

* added short summary

* added label_length and made the model non-autoregressive

* added params docs

* better doc for `factor`

* fix tests

* renamed `moving_avg` to `moving_average`

* renamed `factor` to `autocorrelation_factor`

* make style

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

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

* fix configurations

* fix integration tests

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

* fixing `lags_sequence` doc

* Revert "fixing `lags_sequence` doc"

This reverts commit 21e34911e36a6f8f45f25cbf43584a49e5316c55.

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

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

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

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

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

* model layers now take the config

* added `layer_norm_eps` to the config

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

* added `config.layer_norm_eps` to AutoformerLayernorm

* added `config.layer_norm_eps` to all layernorm layers

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

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

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

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

* fix variable names

* added inital pretrained model

* added use_cache docstring

* doc strings for trend and use_cache

* fix order of args

* imports on one line

* fixed get_lagged_subsequences docs

* add docstring for create_network_inputs

* get rid of layer_norm_eps config

* add back layernorm

* update fixture location

* fix signature

* use AutoformerModelOutput dataclass

* fix pretrain config

* no need as default exists

* subclass ModelOutput

* remove layer_norm_eps config

* fix test_model_outputs_equivalence test

* test hidden_states_output

* make fix-copies

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

* removed unused attr

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

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

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

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

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

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

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

* use AutoFormerDecoderOutput

* fix formatting

* fix formatting

---------
Co-authored-by: Kashif Rasul <kashif.rasul@gmail.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Enable code-specific revision for code on the Hub

* invalidate old revision

Log the right train_batch_size if using auto_find_batch_size and also log the adjusted value seperately. (#23800)

* Log right bs

* Log

* Diff message

* Fix no such file or directory error

* Address comment

* Fix formatting issue

Signed-off-by: Wang, Yi <yi.a.wang@intel.com>

class_weights tensor should follow model's device

small doc nit

fix nllb moe accelerate issue

Bump tornado in /examples/research_projects/visual_bert

Bumps [tornado](https://github.com/tornadoweb/tornado) from 6.0.4 to 6.3.2.
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](https://github.com/tornadoweb/tornado/compare/v6.0.4...v6.3.2

)

---
updated-dependencies:
- dependency-name: tornado
  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 [tornado](https://github.com/tornadoweb/tornado) from 6.0.4 to 6.3.2.
- [Changelog](https://github.com/tornadoweb/tornado/blob/master/docs/releases.rst)
- [Commits](https://github.com/tornadoweb/tornado/compare/v6.0.4...v6.3.2

)

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

* Fix is_ninja_available()

search ninja using subprocess instead of importlib.

* Fix style

* Fix doc

* Fix style

* remove unused parameters

* remove unused parameters in config

* Revamp test selection for the example tests

* Rename old XLA test and fake modif in run_glue

* Fixes

* Fake Trainer modif

* Remove fake modifs