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* refactor doc

* refactor code

* add fcos.rst

* add fcos
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* docs: Added MaskRCNN to new doc

* docs: Updated docstring

* ufmt
Co-authored-by: FG Fernandez <–26927750+frgfm@users.noreply.github.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Add revamped docs for video classification models

* EOL

* docs: Added entry for MobileNet V2 in new doc

* docs: Updated MobileNetV2 docstring

* docs: Fixed docstring
Co-authored-by: FG Fernandez <–26927750+frgfm@users.noreply.github.com>

* add swin transformer

* Update swin_transformer.py

* Update swin_transformer.py

* fix lint

* fix lint

* refactor code

* add swin_transformer

* Update swin_transformer.py

* fix bug

* refactor code

* fix lint

* update init_weights

* move shift_window into attention

* refactor code

* fix bug

* Update swin_transformer.py

* Update swin_transformer.py

* fix lint

* add patch_merge

* fix bug

* Update swin_transformer.py

* Update swin_transformer.py

* Update swin_transformer.py

* refactor code

* Update swin_transformer.py

* refactor code

* fix lint

* refactor code

* add swin_tiny

* add swin_tiny.pkl

* fix lint

* Delete ModelTester.test_swin_tiny_expect.pkl

* add swin_tiny

* add

* add Optional to bias

* update init weights

* update init_weights and add no weight decay

* add no weight decay

* add set_weight_decay

* add set_weight_decay

* fix lint

* fix lint

* add lr_cos_min

* add other swin models

* Update torchvision/models/swin_transformer.py
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* refactor doc

* Update utils.py

* Update train.py

* Update train.py

* Update swin_transformer.py

* update model builder

* fix lint

* add

* Update torchvision/models/swin_transformer.py
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Update torchvision/models/swin_transformer.py
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* update other model

* simplify the model name just like ViT

* add lr_cos_min

* fix lint

* fix lint

* Update swin_transformer.py

* Update swin_transformer.py

* Update swin_transformer.py

* Delete ModelTester.test_swin_tiny_expect.pkl

* add swin_t

* refactor code

* Update train.py

* add swin_s

* ignore a error of mypy

* Update swin_transformer.py

* fix lint

* add swin_b

* add swin_l

* refactor code

* Update train.py

* move relative_position_bias to __init__

* fix formatting

* Revert "fix formatting"

This reverts commit 41faba232668f7ac4273a0cf632c0d0130c7ce9c.

* Revert "move relative_position_bias to __init__"

This reverts commit f0615440bf18617dc0e5dc4839bd5ed27e5ed010.

* refactor code

* Remove deprecated meta-data from `_COMMON_META`

* fix linter

* add pretrained weights for swin_t

* fix format

* apply ufmt

* add documentation

* update references README

* adding new style docs

* update pre-trained weights values

* remove other variants

* fix typo

* Remove expect for the variants not yet supported
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Joao Gomes <jdsgomes@fb.com>

* Document MobileNetV3 quantization approach

* Change the URL.

* [DOC] Add alexnet new documentation.

* [FIX] Fix wrong alexnet header.

* [FIX] Fix the AlexNet paper link.
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Start doc revamp for detection models

* Minor cleanup

* Use list of tuples for metrics

* Fixed issue with padding on CI

* Disabled failing tests with color_jitter

* Remove Jitter workaround
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* added dense net docs

* fix models_new.rst

* [proto] Added crop_bounding_box op

* Added `crop_segmentation_mask` op

* Fixed failed mypy

* Added tests for resized_crop_bounding_box

* Fixed code formatting

* Added resized_crop_segmentation_mask op

* Added tests

* initial commit

* formatting

* minor change

* replaced pdf link with webpage link

* replaced pdf link with webpage link

* minor

* minor
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* add convnext.rst

* refactor code

* add convnext
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* [FEAT] Add efficientnetv2 doc.

* [FIX] Precommits fix.

* Apply suggestions from code review
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* [DOC] Add new EfficientNet doc.

* [DOC] Add missing file.

* [FIX] Precommits fix.

* [FIX] Precommits fix.

* [ENH] Integrate few documentation comments from code review

* Update docs/source/models/efficientnet.rst
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* [proto] Added crop_bounding_box op

* Added tests for resized_crop_bounding_box

* Fixed code formatting

* Restructuring metrics meta-data for detection, segmentation and optical flow.

* Renaming acc to pixel_acc for segmentation

* Restructure video meta-data.

* Restructure classification and quantization meta-data.

* Fix tests.

* Fix documentation

Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Added `crop_segmentation_mask` op

* Fixed failed mypy

* Add docs for regnet, still need to update the comment docs on models

* Fix a little typo on .rst file

* Update regnet docstring

* Add vision_transformer docs, and fix typo on regnet docs

* Update docstring to make sure it does not exceed 120 chars per line

* Improve formatting

* Change the new line location for vision_transformer docstring

* Removing `task`, `architecture` and `quantization`

* Fix mypy

* Remove size field

* Remove unused import.

* Fix mypy

* Remove size from schema list.

* update todo

* Simplify with assert

* Adding min_size to all models.

* Update RAFT min size to 128

* Remove publication_year and interpolation meta

* Add type to _COMMON_META and _COMMON_SWAG_META to prevent error from mypy check

* Remove test to check interpolation and publication_year meta
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Convert weights only if `old_key` is in `state_dict`

* Fix linter

* First PR for model doc revamp

* Deactivating fail on warning, temporarily

* Remove commnet

* Minor changes

* Typos

* Added TODO in Makefile

* Keep old models.rst file intact, move new docs into new models_new.rst file

the assert msg should be same
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* add warning if font is not set

* added quotes

* added changes after review

* Apply suggestions from code review
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* escaped warning string

* Apply suggestions from code review
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* updated warning message in test

* refactored code

* Apply suggestions from code review
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

To resolve issue #5815
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Update focal_loss.py

updated docstring for the `sigmoid_focal_loss`

* edited docstring of focal_loss

* Update focal_loss.py

* fix doc style.

* formatting

* formatting

* minor edits

* move attribution link
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

There is a mistake in FGVCAircraft dataset documentation. If you load dataset and sum up 'trainval' and 'test' splits, there are not 10 200, but 10 000 images. Also mistake is in the number of classes: if we choose `annotation_level` to be `variant`, then unique number of classes is going to be not 102, but 100, and with `manufacturer` level it is not 41, but 30.
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Add SWAG model that only the linear classifier head is finetuned with frozen trunk weight

* Add accuracy from experiments

* Change name from SWAG_LC to SWAG_LINEAR

* Add comment on SWAG_LINEAR weight

* Remove the comment docs (moved to PR description), and add the PR url as recipe. Also change name of previous swag model to SWAG_E2E_V1