GitLab

* [proto][tests] Added ref functions for h/v flips

* Better dtype handling in reference_affine_bounding_box_helper

* [iOS] Update Cocoapods for 0.14 release

* Update pytorch version in podspec
Co-authored-by: YosuaMichael <yosuamichael@fb.com>

* Test: add backend parameter

* VideoReader object now works on backend

* Frame reading now passes

* Keyframe seek now passes

* Pyav backend now supports metadata

* changes in test to reflect GPU decoder change

* Linter?

* Test GPU output

* Addressing Joao's comments

* lint

* lint

* Revert "Test GPU output"

This reverts commit f62e955d7dc81bcb23b40d58ea75413b9b62e76d.

* lint?

* lint

* lint

* Address issues in build?

* hopefully doc fix

* Arrgh

* arrgh

* fix typos

* fix input options

* remove read from memory option in pyav

* skip read from mem test for gpu and pyab be

* fix test

* remove unused import

* Hack to get reading from memory work with pyav

* patch audio test
Co-authored-by: Bruno Korbar <bkorbar@quansight.com>
Co-authored-by: Joao Gomes <jdsgomes@fb.com>

* Add support of inplace on `convert_format_bounding_box`

* Move `as_subclass` calls to `F` invocations

* Fix bug.

* Fix _cxcywh_to_xyxy.

* Fixing _xyxy_to_cxcywh.

* Adding comments.

* [Nova] Add Linux Wheels Build Workflow

* Add smoke tests script

* [Nova] Add Caller workflow for Linux Conda Builds

* Add smoke tests script

* [Nova] More comprehensive Smoke Tests for Torchvision

* No need to import everything since nothing is lazily uploaded

* fix reference tests for convert_format_bounding_box

* add check to prevent empty args_kwargs_fns in the future

* extend support of posterize to all integer and floating dtypes

* remove raise

* revert to fixed value range for integer dtypes

* extend equalize to all integer and floating dtypes

* address nits

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

* style: Fixed typing of dataset __getitem__

* style: Fixed last missing typing
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Change random generator for ColorJitter.

* Move `_convert_fill_arg` from runtime to constructor.

* Remove unnecessary TypeVars.

* Remove unnecessary casts

* Update comments.

* Minor code-quality changes on Geometical Transforms.

* Fixing linter and other minor fixes.

* Change mitigation for mypy.`

* Fixing the tests.

* Fixing the tests.

* Fix linter

* Restore dict copy.

* Handling of defaultdicts

* restore int idiom

* Update todo

* [Nova] GHA Linux GPU Job

* increase timeout since jobs timeout and cancel after 30 mins

* bigger instance and longer timeout

* use instance with more gpu memory and only run py38 and cu116 on PR CI

* Moving value estimation of `RandomErasing` from runtime to constructor.

* Speed up mixing on MixUp/Cutmix and small optimization on SimpleCopyPaste.

* Apply nits.

* ignore git warning 'globally'

* improve comment

* Minor improvements on functional.

* Restore `_split_alpha`.

* Revert "Restore `_split_alpha`."

This reverts commit 2286120be6d4af2a3c9b52b605d87611ec70fe06.

* Clean ups on `features` area

* remove unncessary imports

* unwrap features in dispatchers

* cleanup

* align erase / five_crop / ten_crop with other dispatchers

* Cleaning up the size dimension methods.

* Change error messages.

* Avoid GPU-CPU sync on Normalize

* Further optimizations.

* Apply code review changes.

* Fixing JIT.

* linter fix

* improve performance of invert_image_tensor

* cleanup

* lint

* more cleanup

* use new invert in solarize

* Speed improvement for adjust gamma op

* Adding comments and optimizations.

* fixing typo

* Remove unnecessary channel check.

* WIP

* Updated rgb2hsv and a bit of hsv2rgb

* Fix issue with batch of images

* Few improvements

* hsv2rgb improvements

* PR review

* another update

* Fix cuda issue with empty images
torch.aminmax is failing
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* WIP

* Updates to speed up autocontrast
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Adding temporal sampling kernel and dispatcher.

* Adding the UniformTemporalSubsample class.

* Add it on init

* Adding tests.

* Addressing comments.

* Reverting proposal as it led to different results.

* add more tests for uniform_temporal_subsample

* cleanup

* fix logic

* fix logic

* make test more strict

* lint

* Update torchvision/prototype/transforms/functional/_temporal.py

* remove pytorchvideo again per request
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* add KernelInfo

* split dtype and device consistency tests

* add proper support for video

* fix tests and add DispatcherInfo

* add aliases

* cleanup

* fix typo

[FBcode->GH]

* remove copy from convert_color_space

* remove copy from convert_format_bounding_box

* remove .to_* methods from features

* remove unnecessary clones

* add perf todos

* refactor convert_color_space

* lint

* remove another clone

* and another clone

* remove a missed copy

This reverts commit d0de55db.

* Add PermuteDimensions and TransposeDimensions transforms

* Strip Subclass info.

* Apply changes from code review.

* unwrap features before calling the kernels

* revert double unwrapping

* cleanup

* remove debug raise

* more cleanup