GitLab

* Delete stale packaging scripts

`osx_wheel.sh` and `linux_manywheel.sh` has not been functional for a
while and are not referenced from any of the CI scripts

Updated `README.md` to reflect how release binary builds are currently run

* add prototype transforms that use the prototype dispatchers

Conflicts:
	torchvision/prototype/transforms/__init__.py

* simplify

* add logger

* remove legacy classes

Conflicts:
	torchvision/prototype/transforms/_augment.py
	torchvision/prototype/transforms/_auto_augment.py
	torchvision/prototype/transforms/_geometry.py

* make get_params private

* remove randbool method

* remove AutoAugmentDispatcher

* add high level kernels for meta conversion

* remove transforms meta abstraction from auto augment transforms

* appease mypy

* add smoke tests for transforms

* remove Query object

* remove extra_repr helper

* fix tests

* appease mypy

* revert some changes on the kernel tests

* fix dispatcher annotations

* remove float cast for torch.rand

* add helper to query image

* fix imports

* address auto augment comments

* cleanup

* Fix resize when size == small_edge_size and max_size isn't None

* Better test name

* Removed custom ops for interp with AA

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

* add all legacy kernels

* clarify dispatcher docstrings

fbshipit-source-id: 85954dbb817fac16099a3b103b24defc1a8672f8
(cherry picked from commit 9642c8e710e8911c64b9878f51a30ecde95ac90a)
Co-authored-by: Richard Barnes <rbarnes@fb.com>

* revamp prototype features (#5283)

* remove decoding from prototype datasets (#5287)

* remove decoder from prototype datasets

* remove unused imports

* cleanup

* fix readme

* use OneHotLabel in SEMEION

* improve voc implementation

* revert unrelated changes

* fix semeion mock data

* fix pcam

* readd functional transforms API to prototype (#5295)

* readd functional transforms

* cleanup

* add missing imports

* remove __torch_function__ dispatch

* readd repr

* readd empty line

* add test for scriptability

* remove function copy

* change import from functional tensor transforms to just functional

* fix import

* fix test

* fix prototype features and functional transforms after review (#5377)

* fix prototype functional transforms after review

* address features review

* make mypy more strict on prototype features

* make mypy more strict for prototype transforms

* fix annotation

* fix kernel tests

* add automatic feature type dispatch to functional transforms (#5323)

* add auto dispatch

* fix missing arguments error message

* remove pil kernel for erase

* automate feature specific parameter detection

* fix typos

* cleanup dispatcher call

* remove __torch_function__ from transform dispatch

* remove auto-generation

* revert unrelated changes

* remove implements decorator

* change register parameter order

* change order of transforms for readability

* add documentation for __torch_function__

* fix mypy

* inline check for support

* refactor kernel registering process

* refactor dispatch to be a regular decorator

* split kernels and dispatchers

* remove sentinels

* replace pass with ...

* appease mypy

* make single kernel dispatchers more concise

* make dispatcher signatures more generic

* make kernel checking more strict

* revert doc changes

* address Franciscos comments

* remove inplace

* rename kernel test module

* fix inplace

* remove special casing for pil and vanilla tensors

* address comments

* update docs

* cleanup features / transforms feature branch (#5406)

* mark candidates for removal

* align signature of resize_bounding_box with corresponding image kernel

* fix documentation of Feature

* remove interpolation mode and antialias option from resize_segmentation_mask

* remove or privatize functionality in features / datasets / transforms

* bump version

* More deprecations

* update message

* typo

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

* Start adding example

* Add thumbnail and text

* Replace video

* Improve

* Change default weights of RAFT model builders

* WIP

* WIP

* update handle_legacy_interface input

* lots of stuff

* Oops, wrong default

* Typo

* NITs

* Reduce image size

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

* Remove link to profile

* Update gallery/plot_optical_flow.py
Co-authored-by: Aditya Oke <47158509+oke-aditya@users.noreply.github.com>

* Address comments

* Nits

* Revert "Remove link to profile"

This reverts commit 2c7a468c2bb0e14d4f39070524d216cbc153bf1d.
Co-authored-by: Nicolas Hug <nicolashug@fb.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Added ref tests for shear X/Y

* Added PIL tests and fixed tan(level) difference

* Updated tests

* Fixed reparam for shear X/Y in autoaugment

* Fixed arc_level -> level as atan is applied internally

* Fixed links

* Refactor BoxOps tests to use parameterize

* Refactor BoxOps tests to use parameterize

* Refactor BoxOps to use parameterize, addressed comments from PR#5380

* Refactor BoxOps to use parameterize, addressed minor styling comments from PR#5380

* Refactor BoxOps to use parameterize, addressed typing errorsfrom PR#5380

* Refactor BoxOps to use parameterize, addressed minor naming comments for PR#5380

* properly deprecate legacy implementation

* cleanup

* use warning over deprecation directive

* remove patch version

* fix link in Kinetics docstring

* Some more

* fix affine functional tests
Co-authored-by: Nicolas Hug <nicolashug@fb.com>

* Remove APIs that were deprecated before 0.8

* More stuff

* Some more

* oops

* Change default weights of RAFT model builders

* update handle_legacy_interface input

* Oops, wrong default

* Adding multiweight support for shufflenetv2 prototype models

* Revert "Adding multiweight support for shufflenetv2 prototype models"

This reverts commit 31fadbee7d1a65cd73ae43dfd4ac6e97e7ca7b01.

* Adding multiweight support for shufflenetv2 prototype models

* Revert "Adding multiweight support for shufflenetv2 prototype models"

This reverts commit 4e3d900f796c1e3e667312087e77956ca4a4c017.

* Remove module vs method name clash

* add model contribution guidelines

* update CONTRIBUTING_MODELS.md

* Fix formatting and typo

* fix in-document links

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

* remove Implementation Details section
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

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

* Add random colors

* Update error message, pretty the code

* Update edge cases

* Change implementation to tuples

* Fix bugs

* Add tests

* Reuse palette

* small rename fix

* Update tests and code

* Simplify code

* ufmt

* fixed colors -> random colors in docstring

* Actually simplify further

* Silence mypy. Twice. lol.
Co-authored-by: Nicolas Hug <nicolashug@fb.com>

* remove coveragerc

* edit shell scripts

* drop tox

* Apply suggestions from code review

* Update setup.cfg
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Move weight initialization in constructors.

* Fixing mypy for ViT.

* remove unnecessary import

* Improve giou loss

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

Fixes #5204
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Add is_qat support using a method getter

* Switch to an internal _fuse_modules

* Fix linter.

* Pass is_qat=False on PTQ

* Fix bug on ra_sampler flag.

* Set is_qat=True for QAT

fixes issue #5322
Co-authored-by: Nicolas Granger <nicolas.granger@cea.fr>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Graduate ConvNeXt to main TorchVision area.

* Linter and all var.

* Renaming var and making named params mandatory.

* resolve redirection for HTTP resources

* appease mypy

* address review

* Updated gpu decoder test to use parametrize

* Remove list comprehension

* Refactor model builder

* Add 3 more convnext variants.

* Adding weights for convnext_small.

* Fix minor bug.

* Fix number of parameters for small model.

* Adding weights for the base variant.

* Adding weights for the large variant.

* Simplify LayerNorm2d implementation.

* Optimize speed of CNBlock.

* Repackage weights.