GitLab

* 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.

* [DEBUG] run prototype tests on Windows

* disable duplicate resource class

* fix newlines in mock data generation

* fix path matching for DTD

* revert CI changes

* Revert "fix newlines in mock data generation"

This reverts commit f53cf60ff5638e6c2e08a0ee2e73d646b051395f.

* rerun tests with fix in torchdata

* revert CI changes

* add explanation

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

* Adding conv_stem support

* fix lint

* bug fix

* address comments

* fix after merge

* adding back checking lines

* fix failing tests

* fix iignore

* add unittest & address comments

* fix memory issue

* address comments

* run mypy on Python 3.9

* appease mypy

* Revert "run mypy on Python 3.9"

This reverts commit b935c8310ca755851f523af5aeb3a6f120b95abf.

* Some Qs

* Some modifications

* don't need _loader in __init__

* list_names -> list_datasets

* Update torchvision/prototype/datasets/utils/_resource.py
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Remove unsued import

* fix tests

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

* Add PCAM dataset to prototype area

* use BytesIO instead of writing file to disk

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

* remove noqa

* typos

* Use _Resource namedtuple

* Add h5py to unittest_prototype job

* use .item() on target

* Forgot to call regenerate.py
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Start stuff

* Start adding some implementation

* Add implementation

* Use torch for colorwheel

* Add simple test

* Fix small numpy rename

* Adapt the changes

* Fix stuff

* Add suggestions

* Minor fixes for float

* Remove idx logic

* Simplify

* Fix test

* Update code and add test

* Add expected flow asset

* Fix expected flow path

* Doc nits
Co-authored-by: Nicolas Hug <nicolashug@fb.com>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

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

* fix bug when the target is empty

* Add unittest for empty instance training
Co-authored-by: Zhiqiang Wang <zhiqwang@foxmail.com>
Co-authored-by: Joao Gomes <joaopsgomes@gmail.com>