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Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Nicolas Hug <nh.nicolas.hug@gmail.com>

Co-authored-by: Mateusz Guzek <matguzek@meta.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

Co-authored-by: Nicolas Hug <nh.nicolas.hug@gmail.com>

Co-authored-by: Nicolas Hug <nh.nicolas.hug@gmail.com>

Signed-off-by: Edward Z. Yang <ezyang@meta.com>

Co-authored-by: Nicolas Hug <nicolashug@meta.com>

Co-authored-by: Nicolas Hug <nh.nicolas.hug@gmail.com>

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

Update docs to not mention 'registration mechanism' - and move corresponding utils out of Beta (#7142)
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* fix typos throughout the code base

* fix grammar

* revert formatting changes to gallery

* revert 'an uXX'

* remove 'number of the best'

* _weight_size -> _file_size

* Better formatting of individual weights tables

* Remove file size from main tables to avoid confusion with weight size (as in RAM)

* Remove unnecessary (file size) suffix

* Fix CI error?

* Formatting
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Just start adding mere copy paste

* Replace d with t and D with T

* Align swin transformer video to image a bit

* Rename d -> t

* align with 2d impl

* align with 2d impl

* Add helpful comments and config for 3d

* add docs

* Add docs

* Add configurations

* Add docs

* Fix bugs

* Fix wrong edit

* Fix wrong edit

* Fix bugs

* Fix bugs

* Fix as per fx suggestions

* Update torchvision/models/video/swin_transformer.py

* Fix as per fx suggestions

* Fix expect files and code

* Update the expect files

* Modify video swin

* Add min size and min temporal size, num params

* Add flops and size

* Fix types

* Fix url recipe
Co-authored-by: Yosua Michael Maranatha <yosuamichael@fb.com>

* Fix MaxViT typing

* linter

* Adding FLOPs and size to model metadata

* Adding weight size to quantization models

* Small refactor of rich metadata

* Removing unused code

* Fixing wrong entries

* Adding .DS_Store to gitignore

* Renaming _flops to _ops

* Adding number of operations to quantization models

* Reflecting _flops change to _ops

* Renamed ops and weight size in individual model doc pages

* Linter fixes

* Rounding ops to first decimal

* Rounding num ops and sizes to 3 decimals

* Change naming of columns.

* Update tables
Co-authored-by: Toni Blaslov <tblaslov@fb.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* make weights deepcopyable

* add test

* test enum member instead of whole enum

* Use the variable name sizes instead of scales for consistency

* Add the missing type hints

* Restore the naming back to scales instead of sizes to avoid backwards incompatibility

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

* Update the expected removal date for several deprecated API

* Revert the change in models/_utils.py

* Remove removal date on pretrained=True

* Update another message related to pretrained=True

* Also update the warning in kwonly_to_pos_or_kw decorator

* Update remaining message in _utils.py

* Remove Kinetics400 class

* Remove '2007-test' in VOC

* Remove some MobileNet layer classes

* Remove torchvision/models/segmentation/segmentation.py

* Remove some MultiScaleRoIAlign methods

* Remove torchvision/transforms/_functional_video.py

* Remove torchvision/transforms/_transforms_video.py

* Remove resample parameter in transforms

* Remove 'range' parameter

* Remove 'fill_value' parameter in transforms

* Revert to original warning for C++ models - looks like we should still keep them around?

* pre-commit

* Fix docs

* Remove test/test_transforms_video.py

* Some fixes

* Remove more tests

* Revert changes to C++ models

* Add back _transforms_video and change warning message

* Change back the warning message, and will change the warning message on separate PR
Co-authored-by: YosuaMichael <yosuamichaelm@gmail.com>
Co-authored-by: Yosua Michael Maranatha <yosuamichael@fb.com>

* Added maxvit architecture and tests

* rebased + addresed comments

* Revert "rebased + addresed comments"

This reverts commit c5b28398cd48d2f3403c7c8eeefbaba9df05fcfe.

* Re-added model changes after revert

* aligned with partial original implementation

* removed submitit script fixed lint

* mypy fix for too many arguments

* updated old tests

* removed per batch lr scheduler and seed setting

* removed ontap

* added docs, validated weights

* fixed test expect, moved shape assertions in the begging for torch.fx compatibility

* mypy fix

* lint fix

* added legacy interface

* added weight link

* updated docs

* Update references/classification/train.py
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

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

* adressed comments

* update ra_maginuted and augmix_severity default values

* adressed some comments

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

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

* ADD: init_weights config for googlenet

* Fix: Inception and googlenet warnings

* Fix: warning in test_datasets.py

* Fix: Formatting error with ufmt

* Fix: Failing tests in quantized_classification_model

* Update test/test_models.py to make googlenet in 1 line
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Refactor: Change inception quantisation class initialization to use args/kwargs

* Resolve mypy issue

* Move *args before inception_blocks

* Move args keywords before other arguments
Co-authored-by: Ambuj Pawar <your_email@abc.example>
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* crestereo draft implementation

* minor model fixes. positional embedding changes.

* aligned base configuration with paper

* Adressing comments

* Broke down Adaptive Correlation Layer. Adressed some other commets.

* adressed some nits

* changed search size, added output channels to model attrs

* changed weights naming

* changed from iterations to num_iters

* removed _make_coords, adressed comments

* fixed jit test

* config nit

* Changed device arg to str
Co-authored-by: Joao Gomes <jdsgomes@fb.com>
Co-authored-by: YosuaMichael <yosuamichaelm@gmail.com>