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* 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

* [proto][WIP] Enable GPU tests on prototype

* Update prototype-tests.yml

* tests on gpu as separate file

* Removed matrix setup

* Update prototype-tests-gpu.yml

* Update prototype-tests-gpu.yml

* Added --gpus=all flag

* Added xfail for cuda vs cpu tolerance issue

* Update prototype-tests-gpu.yml

* perf improvements for equalize
Co-authored-by: lezcano <lezcano-93@hotmail.com>

* improve reference tests

* add extensive comments and minor fixes to the kernel

* improve comments
Co-authored-by: lezcano <lezcano-93@hotmail.com>

* WIP

* _blend optim v1

* _blend and color ops optims: v2

* updated a/r tol and configs to make tests pass

* Loose a/r tolerance in AA tests

* Use custom rgb_to_grayscale

* Renamed img -> image

* nit code update

* PR review

* adjust_contrast convert to float32 earlier

* Revert "adjust_contrast convert to float32 earlier"

This reverts commit a82cf8c739d02acd9868ebee4b8b99d101c3e45e.

* add tensor as optional param

* add init from memory

* fix bug

* fix bug

* first working version

* apply formatting and add tests

* simplify tests

* fix tests

* fix wrong variable name

* add path as optional parameter

* add src as optional

* address pr comments

* Fix warning messages

* address pr comments

* make tests stricter

* Revert "make tests stricter"

This reverts commit 6c92e94e8372f381c9496c9f885c2c71b6a4356b.

* [Nova] Migrate Linux CPU job to Generic Job

* branch ref for composite action job

* move checkout step to separate job

* added runs-on

* nit fixes

* no need to run conda sheel script thing

* Channel is set inside the script

* add remaining env vars

* nit env var fix

* cleanup

* simplify unneeded jobs

* name of the conda env should be the path

* remove main ref to use PR

* improve perf on convert_image_dtype and add tests

* add reference tests

* use bitshifts for int to int

* revert bitshifts for int to int upscale

* fix warning ignore

* pin pyav to <10

* pin av in GHA workflows as well

* also pin in M1 workflow

* fix, ignore, or assert warnings for consistency tests

* fix, ignore, or assert warnings for kernel infos

* fix to_image_tensor for numpy inputs

* make image from numpy contiguous

* fix test

* Add raft_stereo weights

* Update the metrics layout

* [Nova][WIP] Add Linux CPU Unittests for Torchvision

* use conda-builder image since conda installation is needed

* install torch dep with conda instead

* use circleCI command to run tests

* larger instance to avoid OOM issues

* proper syntax for self-hosted runners

* 4xlarge instance

* 8xlarge

* 12xlarge

* use setup-miniconda job

* add back PATH change to help setup py detect conda

* run conda shell script

* install other deps up front

* git config and undo path change

* revert to local conda install

* conda-builder image

* support for whole python version matrix

* clean up the conda env once we are done with the job

* Use softmax in _get_gaussian_kernel1d

* Revert "Use softmax in _get_gaussian_kernel1d"

This reverts commit eb8fba36302d2da9e06e6f40afaaf901b276a771.

* Code update

* Relaxed tolerance in consistency tests for GaussianBlur and ElasticTransform

* Code review updates

* Update test_prototype_transforms_consistency.py

* [proto] Reduce number of calls of __torch_function__

* Use DisableTorchFunction and super

* Use self._tensor

* Fixes mypy and color space handling

* revert Image.new_like

* WIP

* Perf opt with ref to tensor and properties

* Removed requires_grad property

* Use _tensor ref

* Revert "Use _tensor ref"

This reverts commit 38f8e21242830fed46ddf31287edb67c1abd124a.

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

* Fix `ToDtype` to avoid errors when a type is not defined.

* Nit `(features.is_simple_tensor, features._Feature)` to `(Tensor,)`

* Fixing linter

* Adding comment.

* Switch back to indexing. Python's default dict seems to have a nasty behaviour.

* Extend RandomShortestSize to support Video specific flavour of the augmentation

* Adding a test.

* Apply changes from code review

* introduce _check method for type checks on prototype transforms

* cleanup

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

* introduce _check on new transforms

* _check -> _check_inputs

* always check inputs in _RandomApplyTransform
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* introduce nearest-exact interpolation

* update prototype tests

* update stable tests