GitLab

* Fixed replace_batch_norm when on meta device

* lint fix

* Adding coauthor
Co-authored-by: Pi Esposito <piero.skywalker@gmail.com>

* Removed tests

* Remove unused deps

* Try to fix copy issue

* try fix copy one more time

* Reverted import changes

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Co-authored-by: Pi Esposito <piero.skywalker@gmail.com>

* fixing name position_embeddings to object_queries

* [fix] renaming variable and docstring do object queries

* [fix] comment position_embedding to object queries

* [feat] changes from make-fix-copies to keep consistency

* Revert "[feat] changes from make-fix-copies to keep consistency"

This reverts commit 56e3e9ede1d32f7aeefba707ddfaf12c9b4b9e7e.

* [tests] fix wrong expected score

* [fix] wrong assignment causing wrong tensor shapes

* [fix] fixing position_embeddings to object queries to keep consistency (make fix copies)

* [fix] make fix copies, renaming position_embeddings to object_queries

* [fix] positional_embeddingss to object queries, fixes from make fix copies

* [fix] comments frmo make fix copies

* [fix] adding args validation to keep version support

* [fix] adding args validation to keep version support -conditional detr

* [fix] adding args validation to keep version support - maskformer

* [style] make fixup style fixes

* [feat] adding args checking

* [feat] fixcopies and args checking

* make fixup

* make fixup

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Co-authored-by: Lorenzobattistela <lorenzobattistela@gmail.com>

* Add missing type hint to cpmant

* Add type hints to decision_transformer model

* Add type hints to deformable_detr models

* Add type hints to detr models

* Add type hints to deta models

* Add type hints to dpr models

* Update attention mask type hint
Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* Update remaining attention masks type hints

* Update docstrings' type hints related to attention masks

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Co-authored-by: Matt <Rocketknight1@users.noreply.github.com>

* fix detr weird issue

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

* fix copies

* fix copies

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

* First models

* Conditional DETR

* Treat DETR models, skip others

* Skip LayoutLMv2 as well

* Fix last tests

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix annotations

* fix

* fix

* fix

* fix

* fix

* fix

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

* Replace python random with torch.rand to enable dynamo.export

* revert changes to flax model code

* Remove unused random import

* Fix torch template

* Move torch.manual_seed(0) to right location

Revert "Fix gradient checkpointing + fp16 autocast for most models (#24247)"

This reverts commit 285a4801.

* fix gc bug

* continue PoC on OPT

* fixes

* :exploding_head:

* fix tests

* remove pytest.mark

* fixup

* forward contrib credits from discussions

* forward contrib credits from discussions

* reverting changes on untouched files.

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Co-authored-by: zhaoqf123 <zhaoqf123@users.noreply.github.com>
Co-authored-by: 7eu7d7 <7eu7d7@users.noreply.github.com>

* issue#24161 remove unused is_decoder parameter in DetrAttention

* #24161 fix check_repository_consistency fail

* time to say goodbye, torch 1.7 and 1.8

* clean up torch_int_div

* clean up is_torch_less_than_1_8-9

* update

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

* Clean all models

* Style

* Last to remove

* address review comments

* Address review comments

* 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>

* Update doc example feature extractor -> image processor

* Apply suggestions from code review

* 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

* Image transforms functionality used instead

* Import torch

* Import rather than copy

* Update src/transformers/models/conditional_detr/feature_extraction_conditional_detr.py

* Improve DETR models

* Fix Deformable DETR loss and matcher

* Fixup

* Fix integration tests

* Improve variable names

* Apply suggestion

* Fix copies

* Fix DeformableDetrLoss

* Make Conditional DETR copy from Deformable DETR

* Copy from deformable detr's hungarian matcher

* Fix bug

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

* Restructure DetrFeatureExtractor post-processing methods
* Update post_process_instance_segmentation and post_process_panoptic_segmentation methods to return prediction scores
* Update DETR models docs

* Ensures consistent arguments and outputs with other post-processing methods
* Adds post_process_semantic_segmentation, post_process_instance_segmentation, post_process_panoptic_segmentation, post_process_object_detection methods to DetrFeatureExtractor
* Adds deprecation warnings to post_process, post_process_segmentation and post_process_panoptic

* 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>

* Add num_channels attribute

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

* Fix loss condition in DetrHungarianMatcher

* Fix costs condition in YolosHungarianMatcher

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

* Improve doc test

* Improve code example of segmentation model

* Apply suggestion

* Update src/transformers/models/detr/modeling_detr.py
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>
Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>

* Fix some typos.
Signed-off-by: Yulv-git <yulvchi@qq.com>

* Fix typo.
Signed-off-by: Yulv-git <yulvchi@qq.com>

* make fixup.

* add: check labels for detr object detection doctests

* add: check shapes

* add: add detr to documentation_tests.py

* fix: make fixup output

* fix: add a comment

* added use_backbone_pretrained

* style fixes

* update

* Update detr.mdx

* Update detr.mdx

* Update detr.mdx

* update using doc py

* Update detr.mdx

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

* Use torch.finfo(self.dtype).min

* for GPTNeoX

* for Albert

* For Splinter

* Update src/transformers/models/data2vec/modeling_data2vec_audio.py
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* fix -inf used in Bart-like models

* Fix a few remaining -inf

* more fix

* clean up

* For CLIP

* For FSMT

* clean up

* fix test

* Add dtype argument and use it for LayoutLMv3

* update FlaxLongT5Attention
Co-authored-by: ydshieh <ydshieh@users.noreply.github.com>
Co-authored-by: Patrick von Platen <patrick.v.platen@gmail.com>

* Black preview

* Fixup too!

* Fix check copies

* Use the same version as the CI

* Bump black

* First draft

* Add YolosForObjectDetection

* Make forward pass work

* Add mid position embeddings

* Add interpolation of position encodings

* Add expected values

* Add YOLOS to tests

* Add integration test

* Support tiny model as well

* Support all models in conversion script

* Remove mid_pe_size attribute

* Make more tests pass

* Add model to README and fix config

* Add copied from statements

* Rename base_model_prefix to vit

* Add missing YOLOS_PRETRAINED_CONFIG_ARCHIVE_MAP

* Apply suggestions from code review

* Apply more suggestions from code review

* Convert remaining checkpoints

* Improve docstrings

* Add YolosFeatureExtractor

* Add feature extractor to docs

* Add corresponding tests

* Fix style

* Fix docs

* Apply suggestion from code review

* Fix bad rebase

* Fix some more bad rebase

* Fix missing character

* Improve docs and variable names
Co-authored-by: Niels Rogge <nielsrogge@Nielss-MacBook-Pro.local>

* Updated assertions to exceptions

* updated assertions to exceptions

* bug fixes

* fix-copies

* Update modeling_ctrl.py

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

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

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

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

* Update modeling_led.py

* Update modeling_led.py

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

* Big file_utils cleanup

* This one still needs to be treated separately

* Split file_utils in several submodules

* Fixes

* Add back more objects

* More fixes

* Who exactly decided to import that from there?

* Second suggestion to code with code review

* Revert wront move

* Fix imports

* Adapt all imports

* Adapt all imports everywhere

* Revert this import, will fix in a separate commit

* Upgrade black to version ~=22.0

* Check copies

* Fix code

* Fix bad examples

* Add black formatting to style_doc

* Use first nonempty line

* Put it at the right place

* Don't add spaces to empty lines

* Better templates

* Deal with triple quotes in docstrings

* Result of style_doc

* Enable mdx treatment and fix code examples in MDXs

* Result of doc styler on doc source files

* Last fixes

* Break copy from

* [doc] consistent True/False/None default format

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