GitLab

* Add test_image_processing_common.py

* Fix typo

* Update imports and test fetcher

* Revert but keep test fetcher update

* Fix imports

* Fix all imports

* Formatting fix

* Update tests/test_image_processing_common.py

* First draft

* More improvements

* Add conversion script

* More improvements

* Add docs

* Address review

* Rename class to ConvEncoder

* Address review

* Apply suggestion

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

* Update all DETR friends

* Add corresponding test

* Improve test

* Fix bug

* Add more tests

* Set out_features to last stage by default
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

skip failing test for now

Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* pass return_timestamps to pre-process

* add a test to test it

* test does not need device 0

* remove failing bit

* update test

- Adds EfficientFormer V1 to transformers
- PR co-authored by @novice03  and @Bearnardd 
Co-authored-by: novice <pranavpulijala@gmail.com>
Co-authored-by: novice <44259234+novice03@users.noreply.github.com>

* [FT] First commit for graphormer architecture.

The model has no tokenizer, as it uses a collator and preprocessing function for its input management.
Architecture to be tested against original one.
The arch might need to be changed to fit the checkpoint, but a revert to the original arch will make the code less nice to read.
TODO: doc

* [FIX] removed test model

* [FIX] import error

* [FIX] black and flake

* [DOC] added paper refs

* [FIX] [DOC]

* [FIX] black

* [DOC] Updated READMEs

* [FIX] Order of imports + rm Tokenizer calls

* [FIX] Moved assert in class to prevent doc build failure

* [FIX] make fix-copies

* [Doc] update from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* [FIX] Removed Graphormer from Sequence classification model list

* [DOC] Added HF copyright to Cython file

* [DOC] Fixed comments

* [FIX] typos in class doc + removed config classes.

Todo: update doc from paper definitions

* [FIX] Removed dependency to fairseq, and replaced all asserts with Exception management

* [FIX] Homogeneized initialization of weights to pretrained constructor

* [FIX] [CP] Updated multi_hop parameter to get same results as in original implementation

* [DOC] Relevant parameter description in the configuration file

* [DOC] Updated doc and comments in main graphormer file

* [FIX] make style and quality checks

* [DOC] Fix doc format

* [FIX] [WIP] Updated part of the tests, though still a wip

* [FIX] [WIP]

* [FIX] repo consistency

* [FIX] Changed input names for more understandability

* [FIX] [BUG] updated num_classes params for propagation in the model

* simplified collator

* [FIX] Updated tests to follow new naming pattern

* [TESTS] Updated test suite along with model

* |FIX] rm tokenizer import

* [DOC] add link to graphormerdoc

* Changed section in doc from text model to graph model

* Apply suggestions from code review

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

* [DOC] Explain algos_graphormer functions

* Cython soft import protection

* Rm call to Callable in configuration graphormer

* [FIX] replaced asserts with Exceptions

* Add org to graphormer checkpoints

* Prefixed classes with Graphormer

* Management of init functions

* format

* fixes

* fix length file

* update indent

* relaunching ci

* Errors for missing cython imports

* fix style

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

* Add hallucination penalty

* Make quality changes

* Inverse penalty

* Fix imports & quality

* Fix name spelling issue

* set encoder_repetition_penalty and fix quality

* Fix failing test

* Add to config_common_kwargs

* Fix modelling_rag error

* Update src/transformers/generation_logits_process.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Remove breakpoint

* Make style fixes

* Update encoder_repetition_penalty default value

* Merge latest main changes

* Make fixup changes

* Add EncoderRepetitionPenaltyLogitsProcessor to generation/__init__.py

* Fix repo-inconsistency

* Remove venv

* Remove tensorflow-macos & add tests

* Add documentation

* Fix quality issues

* move encoder_repetition_penalty to config

* Update src/transformers/configuration_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Update src/transformers/generation/configuration_utils.py
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* Remove encoder_repetition_penalty from tests

* Fix type error

* Fix format error
Co-authored-by: Joao Gante <joaofranciscocardosogante@gmail.com>

* add draft logit processor

* add template functions

* update timesapmt processor parameters

* draft script

* simplify code

* cleanup

* fixup and clean

* update pipeline

* style

* clean up previous idea

* add tokenization utils

* update tokenizer and asr output

* fit whisper type

* style and update test

* clean test

* style test

* update tests

* update error test

* udpate code (not based on review yet)

* update tokenization

* update asr pipeline

* update code

* cleanup and update test

* fmt

* remove text verificatino

* cleanup

* cleanup

* add model test

* update tests

* update code add docstring

* update code and add docstring

* fix pipeline tests

* add draft logit processor

add template functions

update timesapmt processor parameters

draft script

simplify code

cleanup

fixup and clean

update pipeline

style

clean up previous idea

add tokenization utils

update tokenizer and asr output

fit whisper type

style and update test

clean test

style test

update tests

update error test

udpate code (not based on review yet)

update tokenization

update asr pipeline

update code

cleanup and update test

fmt

remove text verificatino

cleanup

cleanup

add model test

update tests

update code add docstring

update code and add docstring

fix pipeline tests

* Small update.

* Fixup.

* Tmp.

* More support.

* Making `forced_decoder_ids` non mandatory for users to set.

* update and fix first bug

* properly process sequence right after merge if last

* tofo

* allow list inputs + compute begin index better

* start adding tests

* add the 3 edge cases

* style

* format sequences

* fixup

* update

* update

* style

* test passes, edge cases should be good

* update last value

* remove Trie

* update tests and expec ted values

* handle bigger chunk_length

* clean tests a bit

* refactor chunk iter and clean pipeline

* update tests

* style

* refactor chunk iter and clean pipeline

* upade

* resolve comments

* Apply suggestions from code review
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* take stride right into account

* update test expected values

* Update code based on review
Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* major refactor

* add correct strides for tests

* Update src/transformers/pipelines/automatic_speech_recognition.py

* fix whisper timestamp test
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: sgugger <sylvain.gugger@gmail.com>

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

* Add Oneformer Model

* Add OneFormer Tests

* Add UNIVERSAL_SEGMENTATION_MAPPING

* Fix config

* 🐛 Fix error encountered while writing tests

* 🔨 Fix instance segmentation post processing

* Format Files and Add Documentation

* Add Documentation mdx file

* Run make fixup

* Run make fix-copies

* Remove unnecessary code

* Format modeling_oneformer.py

* Add OneFormer to ImageSegmentationPipeline

* Format files

* Add Demo link to Readme

* Fix fomatting errors

* Fix test failures

* Update Table in index.mdx

* Fix version

* Fix style

* Remove OneFormer from TF

* Fix Imports

* Fix dummy objects

* Fix tests

* Add newline

* Remove OneFormerFeatureExtractor

* Remove CUDA Kernels

* Use AutoBackbone for Swin

* Fix description

* Use Image Processor

* Fix copies

* Fix formatting

* Fix import order

* Fix flake8 errors

* Fix doc errors

* Add Hindi Readme entry

* Update supported backbones

* Update supported backbones

* Undo Changes

* Fix type of config

* Fix isort

* Fix auto.mdx

* Fix swin config

* Replace DinatBackbone with AutoBackbone

* Use SwinBackbone

* Use SwinBackbone

* Fix conversion script

* Fix arguments

* Add argument description

* Fix style

* Add OneFormerProcessor

* Fix OneFormerProcessor Tests

* Fix mapping

* Fix imports

* Fix inits

* Fix style

* Fix comment

* Fix docstring

* Move OneFormer to MultiModal

* Fix Copies

* Remove size divisor

* Fix check_repo.py

* Fix copies

* Add Processor for Testing Pipeline

* Fix padding for tokens

* Fix variables

* Fix formatting with correct black version

* Add Image Processor Test

* Apply suggestions

* Revert common modeling

* Add check for task

* Fix conversion script

* Fix initialization order

* Fix tests

* Undo Pipeline Changes

* Fix layers in MLP

* Fix copies

* Update image paths

* Fix copies

* Apply suggestions

* Add XLA torchrun support

* Clarify that currently DDP doesn't work with torch.distributed XLA backend yet

* Enable DDP with torchrun and XLA (now available in PT-XLA 1.13)

* Add check for AWS Neuron availability and AWS Neuron specific compiler flag

* Change the new test's name to TestTrainerDistributedNeuronCore

* Remove "assert" and replace raised exception

* Remove compiler flag as it is optional. If needed, will be another PR.

* Use TORCHELASTIC_RUN_ID to determine whether torchrun is used

* Adapt repository creation to latest hf_hub

* Update all examples

* Fix other tests, add Flax examples

* Address review comments

* using raw string for regex to search <extra_id>

* fix the same issue in test file:`tokenization_t5.py`

* Fix git model for generate with beam search.

* Update comment

* Fix bug on multi batch

* Add generate tests

* Clean up tests

* Fix style
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Fix Flax OPT numerical masking

* re-enable test

* add fix to bart and reintroduce copied from in opt

* `blip` support for training

* remove labels creation

* remove unneeded `decoder_input_ids` creation

* final changes

- add colab link to documentation
- reduction = mean for loss

* fix nits

* update link

* clearer error message

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

* Add epsilon- and eta-sampling.

Add epsilon- and eta-sampling, following the official code from https://github.com/john-hewitt/truncation-sampling and adapting to be more configurable, as required by Huggingface transformers.

* Add unit tests for epsilon- and eta-sampling.

* Black: fix code formatting.

* Fix docstring spacing.

* Clean up newlines.

* Fix implementation bugs and their associated tests.

* Remove epsilon- and eta-sampling parameters from PretrainedConfig.

* Clarify and clean up the documentation.

* Remove parameters for PretrainedConfig test.

* add draft logit processor

* add template functions

* update timesapmt processor parameters

* draft script

* simplify code

* cleanup

* fixup and clean

* update pipeline

* style

* clean up previous idea

* add tokenization utils

* update tokenizer and asr output

* fit whisper type

* style and update test

* clean test

* style test

* update tests

* update error test

* udpate code (not based on review yet)

* update tokenization

* update asr pipeline

* update code

* cleanup and update test

* fmt

* remove text verificatino

* cleanup

* cleanup

* add model test

* update tests

* update code add docstring

* update code and add docstring

* fix pipeline tests

* add draft logit processor

add template functions

update timesapmt processor parameters

draft script

simplify code

cleanup

fixup and clean

update pipeline

style

clean up previous idea

add tokenization utils

update tokenizer and asr output

fit whisper type

style and update test

clean test

style test

update tests

update error test

udpate code (not based on review yet)

update tokenization

update asr pipeline

update code

cleanup and update test

fmt

remove text verificatino

cleanup

cleanup

add model test

update tests

update code add docstring

update code and add docstring

fix pipeline tests

* Small update.

* Fixup.

* Tmp.

* More support.

* Making `forced_decoder_ids` non mandatory for users to set.

* update and fix first bug

* properly process sequence right after merge if last

* tofo

* allow list inputs + compute begin index better

* start adding tests

* add the 3 edge cases

* style

* format sequences

* fixup

* update

* update

* style

* test passes, edge cases should be good

* update last value

* remove Trie

* update tests and expec ted values

* handle bigger chunk_length

* clean tests a bit

* refactor chunk iter and clean pipeline

* update tests

* style

* refactor chunk iter and clean pipeline

* upade

* resolve comments

* Apply suggestions from code review
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* take stride right into account

* update test expected values

* Update code based on review
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* Fixing offline mode for pipeline (when inferring task).

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

* Updating test to reflect change in exception.

* Fixing offline mode.

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

* Rename files

* Update file names in tests

* Adds Mask2Former to transformers
Co-authored-by: Shivalika Singh <shivalikasingh95@gmail.com>
Co-authored-by: Shivalika Singh <73357305+shivalikasingh95@users.noreply.github.com>
Co-authored-by: NielsRogge <48327001+NielsRogge@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fix training

* Add test

* Fix failing tests
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

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

* Fixing #20783

* Update src/transformers/pipelines/base.py

* Fixing some tests.

* Fixup.

* Remove ffmpeg dep + a bit more relaxed for bigbird QA precision.

* Better dataset.

* Prevent failing on TF.

* Better condition. We can't use `can_use_iterator` since we cannot use it
directly.

* First draft

* More improvements

* Add convnext backbone

* Add conversion script

* Add more improvements

* Comment out to_dict

* Add to_dict method

* Add default config

* Fix config

* Fix backbone

* Fix backbone some more

* Add docs, auto mapping, tests

* Fix some tests

* Fix more tests

* Fix more tests

* Add conversion script

* Improve conversion script

* Add support for getting reshaped undownsampled hidden states

* Fix forward pass

* Add print statements

* Comment out set_shift_and_window_size

* More improvements

* Correct downsampling layers conversion

* Fix style

* First draft

* Fix conversion script

* Remove config attribute

* Fix more tests

* Update READMEs

* Update ConvNextBackbone

* Fix ConvNext tests

* Align ConvNext with Swin

* Remove files

* Fix index

* Improve docs

* Add output_attentions to model forward

* Add backbone mixin, improve tests

* More improvements

* Update init_weights

* Fix interpolation of logits

* Add UperNetImageProcessor

* Improve image processor

* Fix image processor

* Remove print statements

* Remove script

* Update import

* Add image processor tests

* Remove print statements

* Fix test

* Add integration test

* Add convnext integration test

* Update docstring

* Fix README

* Simplify config

* Apply suggestions

* Improve docs

* Rename class

* Fix test_initialization

* Fix import

* Address review

* Fix confg

* Convert all checkpoints

* Fix default backbone

* Usage same processor as segformer

* Apply suggestions

* Fix init_weights, update conversion scripts

* Improve config

* Use Auto API instead of creating a new image processor

* Fix docs

* Add doctests

* Remove ResNetConfig dependency

* Add always_partition argument

* Fix rebaseé

* Improve docs

* Convert checkpoints
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MBP.localdomain>

fix torchscript tests for AltCLIP
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* Fix for Past CI

* make style

* clean up

* unindent 2 blocks
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>

* [bnb optim] fixing test

* force 1 gpu

* fix

* fix

* fix

* finalize

* improve commentary

* fix

* cleanup

* more fixes

Fixed issue #21039 and added test for low_cpu_mem_usage

* small patches, forgot a line

* refactor PT

* the actual fix

Fix integration test
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Make sure dynamic objects can be saved and reloaded

* Remove processor test

* Fix post_process_instance_segmentation
* Add test for label fusing