GitLab

* Update the expected removal date for several deprecated API

* Revert the change in models/_utils.py

* Remove removal date on pretrained=True

* Update another message related to pretrained=True

* Also update the warning in kwonly_to_pos_or_kw decorator

* Update remaining message in _utils.py

* Hack to improve performance of resize op with nearest mode on 2D

* Moved hack to prototype

* Moved hack into proto and reused code from stable resize

* updates

* More updates

* pass metadata directly after input in prototype kernels

* rename img to image

* Fix `size` in resize.

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

* Address some of the comments.

* Fix `output_size` in center_crop.

* Fix `CenterCrop` transform

* Fix `size` in five_crop.

* Fix `size` in ten_crop.

* Fix `kernel_size` and `sigma` in gaussian_blur.

* Fix `angle` and `shear` in affine.

* Fixing JIT-scriptability issues.

* Update TODOs.

* Restore fake types for `Union[int, List[int]]` and `Union[int, float, List[float]]`

* Fixing tests

* Fix linter

* revert unnecessary JIT mitigations.

* Cherrypick Philip's 6dfc9657ce89fe9e018a11ee25a8e26c7d3d43c6

* Linter fix

* Adding center float casting
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Remove Kinetics400 class

* Remove '2007-test' in VOC

* Remove some MobileNet layer classes

* Remove torchvision/models/segmentation/segmentation.py

* Remove some MultiScaleRoIAlign methods

* Remove torchvision/transforms/_functional_video.py

* Remove torchvision/transforms/_transforms_video.py

* Remove resample parameter in transforms

* Remove 'range' parameter

* Remove 'fill_value' parameter in transforms

* Revert to original warning for C++ models - looks like we should still keep them around?

* pre-commit

* Fix docs

* Remove test/test_transforms_video.py

* Some fixes

* Remove more tests

* Revert changes to C++ models

* Add back _transforms_video and change warning message

* Change back the warning message, and will change the warning message on separate PR
Co-authored-by: YosuaMichael <yosuamichaelm@gmail.com>
Co-authored-by: Yosua Michael Maranatha <yosuamichael@fb.com>

Co-authored-by: Ambuj Pawar <your_email@abc.example>

* Remove cpp models

* Also remove the whole models folder in csrc

* Cleanup test for cpp model

* add limitation of decode_jpeg in the function docstring

* undo unwanted changes in decode_png
Co-authored-by: Ambuj Pawar <your_email@abc.example>

* added crestereo author weights

* update weights name

* synced fl-all metric

* changed resize size config param name

* extended weight sets

* changed weight link

* Align and Clean up transform types

* Move type definitions to `_utils.py`

* fixing error message on tests

* Apply code review suggestions
Co-authored-by: vfdev <vfdev.5@gmail.com>

* Centralizing types and switching to always getting dicts.

* Fixing linter

* Refactoring typing definitions.

* Remove relative imports.

* Reuse type.

* Temporarily remove the TorchData tests.

* Restore the TorchData tests.
Co-authored-by: vfdev <vfdev.5@gmail.com>

* Added maxvit architecture and tests

* rebased + addresed comments

* Revert "rebased + addresed comments"

This reverts commit c5b28398cd48d2f3403c7c8eeefbaba9df05fcfe.

* Re-added model changes after revert

* aligned with partial original implementation

* removed submitit script fixed lint

* mypy fix for too many arguments

* updated old tests

* removed per batch lr scheduler and seed setting

* removed ontap

* added docs, validated weights

* fixed test expect, moved shape assertions in the begging for torch.fx compatibility

* mypy fix

* lint fix

* added legacy interface

* added weight link

* updated docs

* Update references/classification/train.py
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

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

* adressed comments

* update ra_maginuted and augmix_severity default values

* adressed some comments

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

* [proto] Fixed fill type in AA

* Fixed missed typehints

* Set fill as None by default

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

* Added transforms for Stereo Matching

* changed implicit Y scaling to 0.

* Adressed some comments

* addressed type hint

* Added interpolation random interpolation strategy

* Aligned crop get params

* fixed bug in RandomErase

* Adressed scaling and typos

* Adressed occlusion typo

* Changed parameter order in F.erase

* fixed random erase

* Added inference preset transform for stereo matching

* added contiguous reshape to output tensors

* Adressed comments

* Modified the transform preset to use Tuple[int, int]

* adressed NITs

* added grayscale transform, align resize -> mask

* changed max disparity default behaviour

* added fixed resize, changed masking in sparse flow masking

* update to align with argparse

* changed default mask in asymetric pairs

* moved grayscale order

* changed grayscale api to accept to tensor variant

* mypy fix

* changed resize specs

* adressed nits

* added type hints

* mypy fix

* mypy fix

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

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

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

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

* Improve existing low kernel test.

* Add new midlevel jit-scriptability test (failing).

* Remove duplicate aliases from kernel tests.

* Fixing colour kernels.

* Fixing deprecated kernels.

* fix mypy

* Silence mypy instead of fixing to avoid performance penalty

* Fixing augment kernels.

* Fixing augment meta.

* Remove is_tracing calls.

* Add fake ImageType and DType

* Fixing type conversion kernels.

* Fixing misc kernels.

* partial fix geometry

* Remove mutable default from `_pad_with_vector_fill()` + all other unnecessary defaults.

* Fix geometry ops

* Fixing tests

* Removed xfail for jit tests on midlevel ops
Co-authored-by: vfdev-5 <vfdev.5@gmail.com>

* ADD: init_weights config for googlenet

* Fix: Inception and googlenet warnings

* Fix: warning in test_datasets.py

* Fix: Formatting error with ufmt

* Fix: Failing tests in quantized_classification_model

* Update test/test_models.py to make googlenet in 1 line
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Refactor: Change inception quantisation class initialization to use args/kwargs

* Resolve mypy issue

* Move *args before inception_blocks

* Move args keywords before other arguments
Co-authored-by: Ambuj Pawar <your_email@abc.example>
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Updated fill arg typehint for affine, perspective and elastic ops

* Updated pad op on prototype side

* Code updates

* Few other minor updates

* WIP

* WIP

* Updates

* Update _image.py

* Fixed tests

* Updated fill arg typehint for affine, perspective and elastic ops

* Updated pad op on prototype side

* Code updates

* Few other minor updates

- call torch.log once can save few ms
- all masks should be selected with is_within_crop_area in RandomIoUCrop
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* fix convert_format_bounding_box, affine_bounding_box, and resize_bounding_box

* fix perspective and elastic

* fix tests

* Remove alias for `pil_to_tensor()`

* Remove alias for `PILToTensor`

* Leave `to_tensor()` as-is.

* Fix linter

* crestereo draft implementation

* minor model fixes. positional embedding changes.

* aligned base configuration with paper

* Adressing comments

* Broke down Adaptive Correlation Layer. Adressed some other commets.

* adressed some nits

* changed search size, added output channels to model attrs

* changed weights naming

* changed from iterations to num_iters

* removed _make_coords, adressed comments

* fixed jit test

* config nit

* Changed device arg to str
Co-authored-by: Joao Gomes <jdsgomes@fb.com>
Co-authored-by: YosuaMichael <yosuamichaelm@gmail.com>

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

* Rename `convert_bounding_box_format` => `convert_format_bounding_box`

* Add missed replacement.

* Fix bug on `get_image_size()` and move it to deprecated. Introduce generic named spatial/channel equivalents.

* Update tests and fix mypy issues.

* Remove the use of get_image_size from ElasticTransform.

* Fix linter

* Apply suggestions from code review.

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

* Further changes from code review.

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

* Update raft_stereo to sync forward param with CREStereo and have output_channel

* Add flow_init param to docstring

* Use output_channels instead of output_channel

* Replace depth with disparity since what we predict actually disparity instead of actual depth

* rename features.SegmentationMask -> features.Mask

* rename kernels *_segmentation_mask -> *_mask and cleanup input name

* cleanup

* rename module _segmentation_mask.py -> _mask.py

* fix test

* fix resize for segmentation masks without batch dim

* micro improvement of stable crop

* Revert "micro improvement of stable crop"

This reverts commit e981e36f92dabc8f2ee05bec53a628a476a2b236.