GitLab

Co-authored-by: Joao Gomes <jdsgomes@fb.com>

* avoid double padding parsing

* remove cloning in degenerate case

* fix affine and rotate for degenerate inputs

* fix rotate for degenerate inputs if expand=True

* fix padding for degenerate segmentation masks

* extend test data degeneration to degenerate inputs

* add even more degenerate shapes

* simplify kernel

* [SKIP CI] only GHA

* add more degenerate segmentation masks

* fix segmentation mask generation

* xfail some tests

* Revert "simplify kernel"

This reverts commit 18c5e4fc59de86fdfd304bf0c0a988b410b81fd9.

* fix resize for degenerate inputs

* [SKIP CI] CircleCI

* fix RandomIoUCrop test

* [SKIP CI] CircleCI

* cleanup

* [SKIP CI] CircleCI

* add perf TODO comments

* [SKIP CI] CircleCI

* [proto] Fixed bug in ScaleJitter with params

* Updated tests

* Skip big models per platform/device

* Specifying skips on Windows only.

* Simplify and clean up code.

* S3D weight deployment

* Update accuracies.

* Address review comments.

* update roipool to make in torch fx traceable

* update ps_roi_align, ps_roi_pool and roi_align to make them torch fx traceable

* add unittest

* Remove `.to(output_fx)` from test
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

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

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

* check signatures of all available transformations

* fix signatures of RandAugment and TrivialAugmentWide

* move AA consistency tests to correct module

* add test for signature consistency

* fix CenterCrop and Lambda

* add removed params

* cleanup

* add consistency tests for prototype container transforms

* fix RandomApply

* clean up bboxes

* Correcting bug on RandAugment.

* Fix bug on erase()

* Moving `_parse_pad_padding()` to functional geometry

* Fixing bug on deprecated Grayscale transforms

* Porting old bugfixes from main branch to _apply_image_transform

* Dropping mandatory keyword arguments to maintain BC.

* Adding antialias option where possible.

* Specifying types in `_transform()` where possible.

* Add todo.

* Fixing tests.

* Adding padding_mode in pad_bbox
Co-authored-by: vfdev <vfdev.5@gmail.com>

* clean up bboxes

* Adding padding_mode in pad_bbox

* Fixing tests and renamed _compute_output_size to appropriate names
Co-authored-by: Vasilis Vryniotis <vvryniotis@fb.com>

* [proto] Fixed RandAug implementation

* Fixed randomness in tests for trivial aug

* Fixed all AA tests

* Moving `_parse_pad_padding()` to functional geometry

* Other updates to make previous commit consistent
Co-authored-by: Vasilis Vryniotis <vvryniotis@fb.com>

* add checks for pure random apply transformations

* add tests for some non-deterministic transforms used in classification reference

* add consistency checks for most transforms

* fix RandomAffine, RandomPerspective, and GaussianBlur

* fix tests

* add test for coverage

* add tests for remaining deterministic transforms

* fix Lambda

* improve test framework and add more consistency configs

* improve error messages

* increase coverage for Resize

* improve comparison

* add consistency checks for prototype and legacy transforms

* fix Resize

* [proto] Fix bug with Compose and PR 6504

* Added tests and fixed other bugs

* add aliases for hflip and vflip

* reduce imports from torchvision.transforms in torchvision.prototype.transforms

* add aliases for to_pil_image abd pil_to_tensor

* deprecate to_tensor

* add some FIXME cleanup comments

* address reviews

* add dimension getters

* undeprecate PILToTensor and ToPILImage

* address review

* fix test

* move simple_tensor to features module

* fix test

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

* check full sample in query_bounding_box

* support no bounding boxes in FixedSizeCrop

* fix test

* `to_image_tensor` returns `feature.Image`

* Normalize filters PIL on forward

* decode_image_with_pil returns feature.Image

* Remove sample unpacking from Normalize

* Removing debug method that cause mypy to complain

* adding back helpful comment

* undo change on normalize kernel to maintain the helpful error message to users who use the kernel directly

* unused import

* Move output to CPU before assert_expected

* Fixing `test_detection_model`

* check_device=False

* linter

[proto] Consistent supported/unsupported types handling in LinearTransformation, other perf comments (#6498)

* WIP

* [proto] unformal supported/unsupported types handling in LinearTransformation, other perf comments

* Type fixes and other minor stuff

* fix passtrough on transforms and add dispatchers for five and ten crop

* Revert "cleanup prototype auto augment transforms (#6463)"

This reverts commit d8025b9a

.

* use legacy kernels in deprecated Grayscale and RandomGrayscale transforms

* fix default type for Lambda transform

* fix default type for ToDtype transform

* move simple_tensor to features module

* [skip ci]

* Revert "move simple_tensor to features module"

This reverts commit 7043b6ee3e3b1f6541371a4f2442cfc1fd664e4a.

* cleanup

* reinstate valid AA changes

* address review

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

* Fix pass-through and supported types of Normalize

* update error message on kernel

* Fix linter.

* Fix the tests.

* Update type.

* Update type.

* Remove unnecessary tests for bboxes and masks.

* add CUDA11.7 builds

* add CUDA 11.7 builds

* run regenerate.py

* try to add filters to binary_win_conda_py3.10_cu117

* rerun regenerate.py

* Removing conda-forge adding cu117 to windows unit tests

* Debug code

* Remove debug code
Co-authored-by: atalman <atalman@fb.com>

[proto] Use the proper `_transformed_types` in all Transforms and eliminate unnecessary dispatching (#6494)

* Update types in deprecated transforms.

* Update types in type conversion transforms.

* Fixing types in meta transforms.

* More changes on type conversion.

* Bug fix.

* Fix types

* Remove unnecessary conversions.

* Remove unnecessary import.

* Fixing tests

* Remove copy support from `to_image_tensor`

* restore test param

* Fix further tests

* [proto] Updated tests for CopyPaste on OneHotLabel

* Fixing test error