GitLab

* added blogs to docs

* removed new-line

* generated code from add-new-model-like

* Add code for modeling, config, and weight conversion

* add tests for image-classification, update modeling and config

* add code, tests for semantic-segmentation

* make style, make quality, make fix-copies

* make fix-copies

* Update modeling_mobilevitv2.py

fix bugs

* Update _toctree.yml

* update modeling, config

fix bugs

* Edit docs - fix bug MobileViTv2v2 -> MobileViTv2

* Update mobilevitv2.mdx

* update docstrings

* Update configuration_mobilevitv2.py

make style

* Update convert_mlcvnets_to_pytorch.py

remove unused options

* Update convert_mlcvnets_to_pytorch.py

make style

* Add suggestions from code review
Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* make style, make quality

* Add suggestions from code review
Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add suggestions from code review

Remove MobileViTv2ImageProcessor
Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* make style

* Add suggestions from code review

Rename MobileViTv2 -> MobileViTV2
Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add suggestions from code review
Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update modeling_mobilevitv2.py

make style

* Update serialization.mdx

* Update modeling_mobilevitv2.py

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

* add fine-tuned with adapter layer

* Add set_target_lang to tokenizer

* Implement load adapter

* add tests

* make style

* Apply suggestions from code review

* Update src/transformers/models/wav2vec2/tokenization_wav2vec2.py

* make fix-copies

* Apply suggestions from code review

* make fix-copies

* make style again

* mkae style again

* fix doc string

* Update tests/models/wav2vec2/test_tokenization_wav2vec2.py

* Apply suggestions from code review

* fix

* Correct wav2vec2 adapter

* mkae style

* Update src/transformers/models/wav2vec2/modeling_wav2vec2.py
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>

* add more nice docs

* finish

* finish

* Apply suggestions from code review
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>

* Apply suggestions from code review

* all finish

---------
Co-authored-by: Sanchit Gandhi <93869735+sanchit-gandhi@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* 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

* 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>

small doc nit

* First commit

* Add auto-translation with GPT-4

* make fixup

* Add a functional layernorm for TF

* Add all the auxiliary imports etc.

* Add the extra processor and tests

* rebase to main

* Add all the needed fixes to the GPT code

* make fixup

* Make convolutions channels-last so they run on CPU

* make fixup

* Fix final issues

* Fix other models affected by test change

* Clarify comment on the sparse_prompt_embeddings check

* Refactor functional_layernorm, use shape_list in place of .shape in some places

* Remove deprecated torch-alike code

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

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

* Refactor processor with common methods and separated private methods

* make fixup

* Quietly delete the file that didn't do anything (sorry Sylvain)

* Refactor the processor tests into one file

* make fixup

* Clean up some unnecessary indirection

* Fix TF mask postprocessing

* Add more processor equivalence tests

* Refactor generate_crop_boxes to use framework-neutral np code

* Make the serving output correctly conditional

* Fix error message line length

* Use dict keys rather than indices internally in both TF and PT SAM call/forward

* Return dicts internally in the call/forward methods

* Revert changes to common tests and just override check_pt_tf_outputs

* Revert changes to other model tests

* Clarify comments for functional layernorm

* Add missing transpose from PT code

* Removed unused copied from in PT code

* Remove overrides for tests that don't exist in TF

* Fix transpose and update tests for PT and TF to check pred_masks

* Add training flag

* Update tests to use TF checkpoints

* Update index.mdx

* Add missing cross-test decorator

* Remove optional extra asterisks

* Revert return_dict changes in PT code

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

* Remove None return annotations on init methods

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

* Fix input_boxes shapes

* make fixup

---------
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* fix

* fix

* fix test + add more docs

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

Update graphormer.mdx

Typo suggestion

* Commit the automatically generated code

using add-new-model-like

* Update description at swiftformer.mdx file

* remove autogenerated code for MaskedImageModeling

* update weight conversion scripts

* Update modeling_swiftformer.py

* update configuration_swiftformer.py

* Update test_modeling_swiftformer.py

* update modeling code - remove einops dependency

* Update _toctree.yml

* update modeling code - remove copied from comments

* update docs

* Revert "update docs"

This reverts commit c2e05e2998fe2cd6eaee8b8cc31aca5222bac9fb.

* update docs

* remove unused reference SwiftFormerImageProcessor

* update dependency_versions_table.py

* update swiftformer.mdx

* update swiftformer.mdx

* change model output type - no attentions

* update model org name

* Fix typo

* fix copies

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

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

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

* Update docs/source/en/model_doc/swiftformer.mdx
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Update src/transformers/models/swiftformer/configuration_swiftformer.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>

* Apply suggestions from code review
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>

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

* Update modeling_swiftformer.py

fix-copies

* make style, make quality, fix-copies

* Apply suggestions from code review
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>

* make style
Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add suggestions from code review
Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* Add suggestions from code review
Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* make fix-copies

* Update modeling_swiftformer.py

* Update modeling_swiftformer.py

* Add suggestions from code review
Co-Authored-By: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

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

* First draft of RWKV-4

* Add support for generate

* Style post-rebase

* Properly use state

* Write doc

* Fix doc

* More math

* Add model to README, dummies and clean config

* Fix init

* multiple fixes:

- fix common tests
- fix configuraion default values
- add CI test for checking state computation
- fix some CI tests

* correct tokenizer

* some tweaks

- fix config docstring
- fix failing tests

* fix CI tests

- add output_attention / output_hidden_states
- override test_initialization
- fix failing CIs

* fix conversion script

- fix sharded case
- add new arguments

* add slow tests + more fixes on conversion script

* add another test

* final fixes

* change single name variable

* add mock attention mask for pipeline to work

* correct eos token id

* fix nits

* add checkpoints

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

* add `tie_word_embeddings` in docstring

* change tensor name

* fix final nits

* Trigger CI

---------
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

Add resources

* Update docs with arxiv link

* Update llama model docs

* Add FlaxWhisperForAudioClassification model

* Add models to init

* Add models to init

* Fix copies

* Fix automapping

* Fix failing test

* Add TrOCR resources

* Made fixes suggested by stevhliu

Revert "Add FlaxWhisperForAudioClassification model (#22883)"

This reverts commit c8f2c5c5.

* Add FlaxWhisperForAudioClassification model

* Add models to init

* Add models to init

* Fix copies

* Fix automapping

* first draft - gives index error in question_answering.py

* maturing

* no labels

* pipeline should know about QA

* fixing checks

* formatting

* fixed docstring

* initial commit

* formatting

* adding the class to many places

* towards less unhappy checks

* nearly there

* and gpt neox for qa

* use right model

* forgot this one

* base_model_prefix is "gpt_neox" for GPTNeoX* models

* unnecessary stuff

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

* format

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

* removed gpt2 stuff

---------
Co-authored-by: Prof. Peter Schneider-Kamp <jps@ordbogen.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* first draft - gives index error in question_answering.py

* maturing

* no labels

* pipeline should know about QA

* fixing checks

* formatting

* fixed docstring

* initial commit

* formatting

* adding the class to many places

* towards less unhappy checks

* nearly there

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

* avoid error

* moving to device of star/end_logits

---------
Co-authored-by: Prof. Peter Schneider-Kamp <jps@ordbogen.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* [doc] Try a few ≠ ways of linking to Papers, users, and org profiles

* Empty commit

* Empty commit now that the backend is fixed

---------
Co-authored-by: Lysandre <lysandre@huggingface.co>

* add resources for layoutlmv2

* remove 🌎 from some resources

* first draft - gives index error in question_answering.py

* maturing

* no labels

* pipeline should know about QA

* fixing checks

* formatting

* fixed docstring

* make sure legacy code executes

* comment

* like this

---------
Co-authored-by: Prof. Peter Schneider-Kamp <jps@ordbogen.com>

* added BioGptForSequenceClassification

* added source of copied code

* typo

* Format code with black

* Update comments for copied code

* Remove code copy comment

* Apply suggestions from code review
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Fix failing tests

* Update code copied from comments

* Fix code quality

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

* Apply suggestions from code review
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>

* Fix lint error

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

* Rename model to biogpt for consistency

* Add PipelineTesterMixin to test_modeling_biogpt.py

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

* Resolve merge confict

---------
Co-authored-by: Guillem García Subies <37592763+GuillemGSubies@users.noreply.github.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Arthur <48595927+ArthurZucker@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

* update Open-Llama model

* update

* update format

* update doc

* update

* update stable embedding test

* update test case

* update format

* update readme

* fix typo

* update name

* remove tokenizer and update format

* remove convert_open_llama_weights_to_hf

* update warning and doc_string

---------
Co-authored-by: songliang.bayesian <songliang.bayesian@bytedance.com>

* added GPTNeoForTokenClassification

* add to top-level init

* fixup

* test

* more fixup

* add to gpt_neo.mdx

* repo consistency

* dummy copy

* fix copies

* optax >= 0.1.5 assumes jax.Array exists - which it doesn't for jax <= 0.3.6

* merge with main made this superfluous

* added classifier_dropout

* remove legacy code

* removed fmt:on/off
removed expected_outputs

* doc style fix

* classifier_dropout is always in config

---------
Co-authored-by: Prof. Peter Schneider-Kamp <jps@ordbogen.com>

* initial commit

* added GPTNeoXForTokenClassification

* typo

* doc
fixed extra comma that turned into a tuple

* unifying variable names
fixing forward call

* classifier_dropout is in config
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

---------
Co-authored-by: Prof. Peter Schneider-Kamp <jps@ordbogen.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Add initial changes for TF wav2vec2 for sequence classification

* Add suggested changes

* Add serving and serving output methods

* Add serving_output implementation and fix layer_weights

* Add fixes

* Fixed test cases

* Fixing test and adding suggested changes

MegaConfiig -> MegaConfig

clap nits

Adds FocalNet by Microsoft to transformers

---------
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: alaradirik <alaradirik@gmail.com>

* add test update and docs edits

* docs edit suggestion

* expose

* style

* add dummy object

* amazed by the quality of transformers CI

* cleanup

* updates

* more refactoring

* make style

* update inits

* support other inputs in base

* update based on review
Co-authored-by: Nicolas Patry <patry.nicolas@gmail.com>

* Update tests/pipelines/test_pipelines_automatic_mask_generation.py
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>

* update

* fixup

* TODO x and y to refactor, _h _w refactored here

* update docstring

* more nits

* style on these

* more doc fix

* rename variables

* update

* updates

* style

* update

* fix `_mask_to_rle_pytorch`

* styling

* fix ask to rle, wrong outputs

* add device arg

* update

* more updates, fix tets

* udpate

* update docstrings

* styling

* fixup

* add notebook on the docs

* update orginal sizes

* fix docstring

* updat condition on point_per-batch

* updates tests

* fix CI  test

* extend is required, append does not work!

* fixup

* fix CI tests

* whit pixels left

* address doc comments

* fix doc

* slow pipeline tests

* update auto init

* add revision

* make fixup

* update p!ipoeline tag when calling tests

* alphabeitcal order in inits

* fix copies

* last style nits

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

* reformat docstring

* more reformat

* address most of the comments

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

* final refactor

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

* fixup and fix slow tests

* revert

---------
Co-authored-by: Nicolas Patry <patry.nicolas@gmail.com>
Co-authored-by: Nicolas Patry <patry.nicolas@protonmail.com>
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>
Co-authored-by: amyeroberts <22614925+amyeroberts@users.noreply.github.com>

fix sam example

put correct link

* initial commit

* keys match

* update, fix conversion

* fixes, inference working

* fix

* more fixes

* more fixes

* clean up

* more clean up

* fix copies and add convext copied layer norm

* stash

* pretty big upfate

* cleaning

* more cleaning

* fixup stuffs

* fix copies

* fix iinit

* update test removing tokenizer

* nits

* add pretrained

* more nits

* remove tracking of pipeline

* few fixes

* update san and conversion script

* fix mask decoder and prompt encoder conversion

* fixes

* small update

* fix order

* fix

* fix image embeddings

* nites

* few fixes

* fix logits

* clean up

* fixes boxes inference

* v1 AMG

* clean up

* some clean up

* multi points support

* amg working

* fixup

* clean up

* readme

* update toctree

* fix type hint

* multiple fixes

* fixup

* fixes

* updates

* updates

* more tests

* few fixes

* change to `SamForMaskGeneration`

* doc

* fixup

* fix more tests

* multiple fixes

* fix CI tests

* refactor processor

* renamings

* draft the pipeline

* refactor

* fix tests

* fix test

* few cleanings

* fix test

* edit pipelien support chunking

* udate

* add slow tests

* fix nit

* fixup

* fix nit

* current chunk pipleine

* cast boxes in fp32

* nit

* current updates

* piepleine works

* fixup

* clean up config

* fix slow tests

* fix slow tests

* clean up

* update doc and pipeline

* adds more slow tests

* fix slow tests

* cleaning

* tests pass

* add docstring

* fix copies

* clean up

* support batch of images

* style

* dummy is needed, add tests

* fix slow tests

* fix CI

* update

* adds more tests

* fixes

* fixes

* fixup

* fixes

* few fixes

* filter

* few fixes

* some refactor

* touches finales

* fix

* style

* remove pipeline files

* fixes nits

* revert pipeline changes

* fix test

* fixup

* remove automodel for automatic mask generation

* fix failing torch tests

* update mdx

* revert removal of `MODEL_FOR_AUTOMATIC_MASK_GENERATION_MAPPING`

* update sam config based on review
Co-authored-by: amyeroberts <aeroberts4444@gmail.com>
Co-authored-by: sgugger <sylvain.gugger@gmail.com>

* update low_resolution_masks -> pred_masks
inti ln with layer_norm_eps
add_decomposed_rel_pos doc
forward doc of SamForMaskGeneration

* update processor docstring

* remove image processor import empty

* update for testing

* output vision hidden states + clean recomm
also test all iou values

* fixup

* fixup

* remove unused

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

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

* nits

* fix

* fix CI tests and slow tests

* replace with Amy's processor

* clearer docstring

* add `SamVisionNeck`

* refactor - all CI tests should pass

* fix broken import on Gcolab

* few fixes here and there

* fix another bug

* fix more bugs

* update and merge

* correct ckpt

* address comments

* add tips

* revert

* fix docstring

* replace with `SamModel`

* make fixup

* add support for bathed images and batch ed points

* make fixup this time, really

* make fixup again and again

* few fixes here and there, this should be the touche finale

* Update docs/source/en/model_doc/sam.mdx

* fixup

* correct checkpoints

* correct name

* rm unneeded file

* add notebook

---------
Co-authored-by: younesbelkada <younesbelkada@gmail.com>
Co-authored-by: amyeroberts <aeroberts4444@gmail.com>
Co-authored-by: sgugger <sylvain.gugger@gmail.com>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Younes Belkada <49240599+younesbelkada@users.noreply.github.com>

* Add model to doc tests

* Remove generate and replace by prepare_inputs_for_generation

* More fixes

* Remove print statements

* Update integration tests

* Fix generate

* Remove model from auto mapping

* Use auto processor

* Fix integration tests

* Fix test

* Add inference code snippet

* Remove is_encoder_decoder

* Update docs

* Remove notebook link