GitLab

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

* Add first draft

* Add out_features attribute to config

* Add corresponding test

* Add Dinat backbone

* Add BackboneMixin

* Add Backbone mixin, improve tests

* Fix embeddings

* Fix bug

* Improve backbones

* Fix Nat backbone tests

* Fix Dinat backbone tests

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

* Fix the pipeline test regarding TF

* Fix the pipeline test regarding TF

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

* add `keep_in_fp32_modules` support

* pass it as class attribute

* few modifs

- make tests `slow`
- fix logic

* better logic

* fix failing test

* `bfloat16` support

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

* fix

* simplify tests

* simplify tests

* fix test

* modify message

* more checks

* fix failing tests

* add more conditions

- add `is_accelerate_available`
- fixes pipleine tests that failed

* add suggestions

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

* fix failing `bnb` test

* add last safety checker
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add decorator for flaky tests

* Fix up

* Add templates for gpt-sw3

* Add templates for gpt-sw3

* Added sentencepiece tokenizer

* intermediate commit with many changes

* fixed conflicts

* Init commit for tokenization port

* Tokenization progress

* Remove fast tokenizer

* Clean up and rename spm.model -> spiece.model

* Remove TF -> PT conversion script template, Clean up Megatron -> PT script

* Optimize encode & decode performance

* added new attention

* added new attention

* attention for gpt-sw3 working

* attention good

* Cache is now working

* fixed attention mask so that it works with causal attention

* fixed badbmm bug for cpu and caching

* updated config with correct parameters

* Refactor and leave optimizations as separate functions to avoid breaking expected functionality

* Fix special tokens mapping for both tokenizers

* cleaning up of code and comments

* HF compatible attention outputs

* Tokenizer now passing tests, add documentation

* Update documentation

* reverted back to base implementation after checking that it is identical to pretrained model

* updated gpt-sw3 config

* updated conversion script

* aligned parameters with gpt-sw3 config

* changed default scale_attn_by_inverse_layer_idx to true

* removed flag from conversion script

* added temporary model path

* reverted back to functioning convert script

* small changes to default config

* updated tests for gpt-sw3

* make style, make quality, minor cleanup

* Change local paths to testing online repository

* Change name: GptSw3 -> GPTSw3

* Remove GPTSw3TokenizerFast references

* Use official model repository and add more model sizes

* Added reference to 6.7b model

* Add GPTSw3DoubleHeadsModel to IGNORE_NON_AUTO_CONFIGURED, like GPT2DoubleHeadsModel

* Remove pointers to non-existing TFGPTSw3

* Add GPTSw3 to docs/_toctree.yml

* Remove TF artifacts from GPTSw3 in __init__ files

* Update README:s with 'make fix-copies'

* Add 20b model to archive list

* Add documentation for GPT-Sw3

* Fix typo in documentation for GPT-Sw3

* Do 'make fix-copies' again after having updated docs

* Fix some typos in docs

* Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/configuration_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/__init__.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/__init__.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update tests/models/gpt_sw3/test_tokenization_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/modeling_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Resolve comments from PR feedback

* Resolve more comments from PR feedback, also set use_cache=True in convert script

* Add '# Copied from' comments for GPTSw3 modeling

* Set 'is_parallelizable = False'

* Remove '# Copied from' where code was modified and add 'with x->y' when appropriate

* Remove parallelize in mdx

* make style, make quality

* Update GPTSw3Config default values and corresponding documentation

* Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/__init__.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Clean up and protect GPTSw3Tokenizer imports with is_sentencepiece_available

* Make style, make quality

* Add dummy object for GPTSw3Tokenizer via 'make fix-copies'

* make fix-copies

* Remove GPTSw3 modeling classes

* make style, make quality

* Add GPTSw3 auto-mappings for other GPT2 heads

* Update docs/source/en/model_doc/gpt-sw3.mdx
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/convert_megatron_to_pytorch.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Update src/transformers/models/gpt_sw3/tokenization_gpt_sw3.py
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Remove old TODO-comment

* Add example usage to GPTSw3Tokenizer docstring

* make style, make quality

* Add implementation details and example usage to gpt-sw3.mdx
Co-authored-by: JoeyOhman <joeyoh@kth.se>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

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

* Replace FE references with IPs

* Update processor tests

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

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

* Update warning messages v4.27 -> v5

* Fixup

* Update Chinese CLIP processor

* Add feature_extractor property

* Add attributes

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

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

* Improve ResNet backbone

* Improve Bit backbone

* Improve docstrings

* Fix default stage

* Apply suggestions from code review
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* 🚧 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

* Create test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* Update test_tokenization_led.py

* fix donut image processor

* Update test values

* Apply lower bound on resizing size

* Add in missing size param

* Resolve resize channel_dimension bug

* Update src/transformers/image_transforms.py

* fix failing `accelerate` tests

* make fixup

* smaller values

* even lower

* read to load

* base functionality

* revert init

* fix dummy data

* moving right along

* moving right along

* finally

* cleanup

* pull out comment

* add test

* update docstring for main class

* flake comments and rewriting copies from make repo-consistency`

* remove irrelevant differences/accidental spaces

* put copies back after space removals

* mid

* final test pass

* stray comment

* update test file

* update test file

* fixup

* black

* missed

* black missed one more

* sytle

* add doc update

* fix order of output class

* comment

* Revert "comment"

This reverts commit 03f86b6948808461939cc8ad4ad74305dfb67700.

* remove redundant function, and redundant reshape

* move change out of common

* style

* put common spaces back

* reorder kwargs in output

* doc style

* [Whisper] Fix forced decoder ids

* fix test

* add `dpt-hybrid` support

* refactor

* final changes, all tests pass

* final cleanups

* final changes

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix docstring

* fix typo

* change `vit_hybrid` to `hybrid`

* replace dataclass

* add docstring

* move dataclasses

* fix test

* add `PretrainedConfig` support for `backbone_config`

* fix docstring

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

* remove `embedding_type` and replace it by `is_hybrid`
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* update summarization run_pipeline_test

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

* First draft

* More improvements

* Add backbone, first draft of ViT hybrid

* Add AutoBackbone

* More improvements

* Fix bug

* More improvements

* More improvements

* Convert ViT-hybrid

* More improvements

* add patch bit

* Fix style

* Improve code

* cleaned v1

* more cleaning

* more refactoring

* Improve models, add tests

* Add docs and tests

* Make more tests pass

* Improve default backbone config

* Update model_type

* Fix more tests

* Add more copied from statements

* More improvements

* Add push to hub to conversion scripts

* clean

* more cleanup

* clean

* replace to

* fix

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

* fix base model prefix

* more cleaning

* get rid of stem

* clean

* replace flag

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

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

* add check

* another check

* fix for hybrid vit

* final fix

* update config

* fix class name

* fix `make fix-copies`

* remove `use_activation`

* Update src/transformers/models/bit/configuration_bit.py

* rm unneeded file

* Add BiT image processor

* rm unneeded file

* add doc

* Add image processor to conversion script

* Add ViTHybrid image processor

* Add resources

* Move bit to correct position

* Fix auto mapping

* Rename hybrid to Hybrid

* Fix name in toctree

* Fix READMEs'

* Improve config

* Simplify GroupNormActivation layer

* fix test + make style

* Improve config

* Apply suggestions from code review
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* remove comment

* remove comment

* replace

* replace

* remove all conv_layer

* refactor norm_layer

* revert x

* add copied from

* last changes + integration tests

* make fixup

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

* fix name

* fix message

* remove assert and refactor

* refactor + make fixup

* refactor - add  + sfety checker

* fix docstring + checkpoint names

* fix merge issues

* fix function name

* fix copies

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

* fix model checkpoint

* fix doctest output

* vit name on doc

* fix name on doc

* fix small nits

* fixed integration tests

* final changes - slow tests pass
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add SwinBackbone

* Add hidden_states_before_downsampling support

* Fix Swin tests

* Improve conversion script

* Add id2label mappings

* Add vistas mapping

* Update comments

* Fix backbone

* Improve tests

* Extend conversion script

* Add Swin conversion script

* Fix style

* Revert config attribute

* Remove SwinBackbone from main init

* Remove unused attribute

* Use encoder for ResNet backbone

* Improve conversion script and add integration test

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

* fix cuda OOM by using single Prior

* only send to device when used

* use custom model

* Skip the big slow test

* Update tests/models/jukebox/test_modeling_jukebox.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Remove assert exception not triggered

* Fix wrong expected exception string

* fix

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

* [Whisper] Fix decoder ids methods

* enum property

* add v1 with tests

* add checker

* simplified version

* update docstring

* better version

* fix docstring + change order

* make style

* tests + change conditions

* final tests

* modify docstring

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

* replace by `ValueError`

* fix logic

* apply suggestions

* `dtype` is not needed

* adapt suggestions

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

* rembert onnx config

* formatting
Co-authored-by: Ho <erincho@bcd0745f972b.ant.amazon.com>

* add support for `from_pt`

* add tf_flax utility file

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

* remove flax related modifications

* add test

* remove FLAX related commits

* fixup

* remove safetensor todos

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

* Expected output for the test changed

* fix failing asr test

* biogpt initial commit

* updated init

* fix faster decoding with use_cache

* 1. fix input_ids and input_embeds with correct device
2. added _keys_to_ignore_on_load_missing
3. updated prepare_inputs_for_generation

* add activation_dropout and scale_embedding

* replace fsmt attention with bart attention

* added test

* run make fix-copies

* doc init and fix build

* updated README with proper information

* 1. added tips to docs
2. updated BioGptTokenizer func

* 1. added tokenizer test
2. refactor tokenizer

* make fixup

* add biogpt fairseq to hf converter

* updated layer names more
similar to original checkpoints

* config update doc string and set defaults

* added "#copied" from bart model and
updated doc strings

* enable model_input_names in tokenizer

* 1.  positionalembedding depending on attention_mask
2. added attention mask to prepare for generation

* added test to verify past and generation

* BioGptLMHeadModel -> BioGptForCausalLM

* fix typo

* tokenization and test
Copyright and updated assertion

* updated Copyright and
one func at time in line

* Copyright updates and
minor doc fix

* replace assertion with ValueError

* rm extra space

* added code syntax

* revert cmnt position change

* add tokenizer to auto

* updated doc string

* tokenizer doc string update

* biogpt hub model update to microsoft/biogpt

* make fixup

* rm cmnt to fix flake8 5.0.4 vs 6 error

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

* init timesformer

* apply fix-copies

* reformat style

* revert back some incoorect style updates

* init timesformer

* apply fix-copies

* reformat style

* revert back some incoorect style updates

* update timseformer doc

* add some functions and classes

* add new config params

* implement multiple classes

* update TimeSformerLayer

* update TimeSformerModel, TimeSformerPreTrainedModel, TimeSformerEncoder

* several fixes

* reformat

* temporary update

* fix some typos

* fix weight converter

* more fixes

* fix a typo

* fix typo

* remove redundant params

* fix for latest hf-hub

* merge fix

* fix some checks

* video classification works with einops

* add paper info to docs

* merge fix

* remove redundant line

* remove redundant docstring

* update config

* fix some typos

* fix converter

* update some test constants

* refactor einops functions

* reformat

* fix a comment

* remove redundat imports

* reformat

* fix a typo

* remove comment

* remove unused imports

* remove redundant doc line

* reformat

* add missing line

* fix docs

* fix timesformer auto feat ext

* add unittests

* reformat

* fix docs

* some fixes and updates

* fix readme

* fix modeling

* fix readme

* update index

* revert _toctree.yml changes

* update timseformer.mdx

* update drop_path_prob to drop_path_rate

* add dosctring for drop_path_rate

* update TimeSformerPatchEmbed naming

* remove to_2tuple

* explicit use of nn.functional

* reformat

* many updates from review comments

* fix a typo

* reformat

* remove assert, better variable name

* make variable names more explicit

* add some adapted from

* more explicit variable names

* remove redundant docstring

* fix initilaization

* move permute inside embedding

* update class names

* remove unused imports

* add test for video classification

* update PretrainedModel with PreTrainedModel

* remove double permute

* update based on sylvain's review

* aply auto fix

* update image_processing_auto for timesformer

* update hub urls

* reformat

* remove duplicate import

* update doc link

* fix cuda OOM by using single Prior

* only send to device when used

* use custom model

* init chinese-clip model from clip

* init model tests and docs

* implement chinese-clip into hf

* implement chinese-clip into hf

* implement chinese-clip into hf

* implement chinese-clip into hf

* implement chinese-clip into hf

* update usecase example in model implementation

* fix codestyle

* fix model_type typo in readme

* add placeholder in doc

* add placeholder in doc

* update the init script

* update usecase

* fix codestyle

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* update testcase

* forward the convert_rgb

* update testcase

* update testcase

* update testcase

* merge the recent update from clip about model_input_name property

* update the doc

* update the doc

* update the doc

* update the doc

* remove unused imports

* reformat code style

* update the doc

* fix isort style

* bypass a weird failed unit test which is unrelated with my PR

* update the doc

* implement independent vision config class

* implement independent vision model class

* fix refactor bug

* fix refactor bug

* fix refactor bug

* make style

* fix refactor bug

* make style

* fix refactor bug

* fix refactor bug

* make style

* fix refactor bug

* fix refactor bug

* doc-build restyle

* implement independent text config class

* implement independent text model class

* implement independent text model class

* make style

* make fix-copies

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* fix refactor bug

* make style

* update doc

* black and isort

* update doc

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

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

* modify the model type from chinese-clip to chinese_clip

* format the example comment of ChineseCLIPVisionConfig

* correct the copyright comment

* fix the tokenizer specification

* add copied from for loss function

* remove unused class

* update CHINESE_CLIP_TEXT_INPUTS_DOCSTRING

* update CHINESE_CLIP_INPUTS_DOCSTRING

* update doc

* update doc

* update code comment in config

* update copied from statement

* make style

* rename the doc file

* add copied statement

* remove unused attention_mask, causal_attention_mask in ChineseCLIPVisionEncoder

* remove ChineseCLIPTextPreTrainedModel

* fix bug

* fix bug

* fix bug

* update doc

* make style

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

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

* update ChineseCLIPImageProcessor in image_processing_auto

* fix config_class of chinesecliptextmodel

* fix the test case

* update the docs

* remove the copied from comment for ChineseCLIPTextModel, since it has diverged from BertModel with customed config_class

* update the testcase

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

* Repurpose torchdynamo training args towards torch._dynamo

* Add doc

* Fixed test_saved_model_extended

* Fix TFGPT2 tests

* make fixup

* Make sure keras-nlp utils are available for type hinting too

* Update src/transformers/testing_utils.py
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* make fixup
Co-authored-by: Yih-Dar <2521628+ydshieh@users.noreply.github.com>

* Add transforms for object detection

* DETR models + Yolos

* Scrappy additions

* Maskformer image processor

* Fix up; MaskFormer tests

* Update owlvit processor

* Add to docs

* OwlViT tests

* Update pad logic

* Remove changes to transforms

* Import fn directly

* Update to include pad transformation

* Remove uninstended changes

* Add new owlvit post processing function

* Tidy up

* Fix copies

* Fix some copies

* Include device fix

* Fix scipy imports

* Update _pad_image

* Update padding functionality

* Fix bug

* Properly handle ignore index

* Fix up

* Remove defaults to None in docstrings

* Fix docstrings & docs

* Fix sizes bug

* Resolve conflicts in init

* Cast to float after resizing

* Tidy & add size if missing

* Allow kwards when processing for owlvit

* Update test values