GitLab

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

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

Co-authored-by: vfdev <vfdev.5@gmail.com>

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

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

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

Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: vfdev-5 <vfdev.5@gmail.com>

* Replace get_image_size/num_channels with get_image_dims

* Reduce verbosity

* Fix JIT-scriptability

* Refactoring

* More refactoring

* Replace all _FP/_FT direct calls.

* Remove usages of get_image_size and get_image_num_channels from code-base.

* Fix JIT issues

* Adding missing assertion.

* add prototype transforms that don't need dispatchers

* cleanup

* remove legacy_transform decorator

* remove legacy classes

* remove explicit param passing

* streamline extra_repr

* remove obsolete ._supports() method

* cleanup

* remove Query

* cleanup

* fix tests

* kernels -> functional

* move image size and num channels extraction to functional

* extend legacy function to extract image size and num channels

* implement dispatching for auto augment

* fix auto augment dispatch

* revert some naming changes

* remove ability to pass params to autoaugment

* fix legacy image size extraction

* align prototype.transforms.functional with transforms.functional

* cleanup

* fix image size and channels extraction

* fix affine and rotate

* revert image size to (width, height)

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

* 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

* 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