GitLab

* enable arbitrary batch size for all prototype kernels

* put back perspective dispatcher

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

* Rewrite `get_dimensions`, `get_num_channels` and `get_spatial_size`

* Remove `get_chw`

* Remove comments

* Make `get_spatial_size` support non-image input

* Reduce the unnecessary use of `get_dimensions*`

* Fix linters

* Fix merge bug

* Linter

* Fix linter

* replace new_like with wrap_like

* fix videos

* revert casting in favor of ignoring mypy

* add video feature

* add video kernels

* add video testing utils

* add one kernel info

* fix kernel names in Video feature

* use only uint8 for video testing

* require at least 4 dims for Video feature

* add TODO for image_size -> spatial_size

* image -> video in feature constructor

* introduce new combined images and video type

* add video to transform utils

* fix transforms test

* fix auto augment

* cleanup

* address review comments

* add remaining video kernel infos

* add batch dimension squashing to some kernels

* fix tests and kernel infos

* add xfails for arbitrary batch sizes on some kernels

* fix test setup

* fix equalize_image_tensor for multi batch dims

* fix adjust_sharpness_image_tensor for multi batch dims

* address review comments

* close streams in prototype datasets

* refactor prototype SBD to avoid closing demux streams at construction time

* mypy

* Fix windows python 3.8

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

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

* Avoid recommuting the affine matrix in bbox rotate

* Fix linter

* inverted=True for estimating image size

* Update the image size estimation to match the one from the image kernel

* Nits

* Address comments.

* Center=0,0 when expand=true

* pad_image_tensor

* pad_mask and pad_bounding_box

* resize_{image_tensor, mask, bounding_box}

* center_crop_{image_tensor, mask}

* {five, ten}_crop_image_tensor

* crop_{image_tensor, mask}

* convert_color_space_image_tensor

* affine_{image_tensor, mask, bounding_box}

* rotate_{image_tensor, mask}

* gaussian_blur_image_tensor

* cleanup

* make pytest summary more concise

* fix comment

* Add ValueError

* Add tests for ValueError

* Add tests for ValueError

* Add ValueError

* Change to if/else

* Ammend iou_fn tests

* Move code excerpt

* Format tests
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* use pytest markers instead of custom solution for prototype transforms functional tests

* cleanup

* cleanup

* trigger CI

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

* Rephrase ONNX RoiAlign warning for aligned=True

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

CUB200 dataset in `torchvision.prototype.datasets` module formed labels using file paths. This resulted in labels being 1-indexed (1-200) instead of 0-indexed (0-199). Similar issue occurred with Flowers102 (`torchvision.datasets` module, #5766).

* exclude sphinx-gallery==0.11.0

* fix CSS

* Update docs/requirements.txt

* fix bug in output format for pyav

* add read from memory with constructor overload

* Revert "add read from memory with constructor overload"

This reverts commit 14cbbab239165be05096fd6cbb88cb0448502436.

* run ufmt

* update test_models.py

* update tests

* fix linting

* fix linting

* add comment

* Trigger CI
Co-authored-by: YosuaMichael <yosuamichael@fb.com>

* Bump main version to 0.15

* Update table on README.rst

* Revert the readme update

* Support exporting RoiAlign align=True to ONNX with opset 16

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

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

* refactor RandomCrop

* mypy

* fix test

* use padding directly rather than private attribute

* only compute type specific fill if padding is needed

* [DRAFT] don't use the diff trick

* fix error message
Co-authored-by: vfdev <vfdev.5@gmail.com>

* remove height and width diff

* reinstate separate diff checking

* introduce needs_crop flag
Co-authored-by: vfdev <vfdev.5@gmail.com>

* prevent feature wrapping for inplace ops

* cleanup

* mypy

* refactor __torch_function__ to be more concise

* avoid double lookup

* fix normalize

* refactor normalize

* mypy

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

* prevent feature wrapping if the feature is not the primary operand

* explicitly add feature tests to CI

* move metadata computation from prototype features into kernels

* fix tests

* fix no_inplace test

* mypy

* add perf TODO

* 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

* Removing cuda 102

Display cuda info

Address comments try to resolve CUDA version issue

More work

Base debugging

Fix cuda version passing

Testing

Adding config.yml

Adding command we use for pytorch vision install

Adding unit tests

Modify install command

Refactor config.in

Move cpu tests to different PR

Remove debug code

Testing similar exception for linux as windows

update test_models.py

Revert "Testing similar exception for linux as windows"

This reverts commit 4aaee0b56376440bb56ecd3efe25b60595a241a5.

Revert "update test_models.py"

This reverts commit 413651a308f68b6801681ddfc2c21201c4df3207.

* Removing debug statement

* Reverting to old command

* 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>

* Revert "Bump tol for autocasted `fasterrcnn_resnet50_fpn` (#6601)"

This reverts commit a4f53308.

* Temporarily remove FasterRCNN autocast test

* 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>

* Replace torch.utils.data.graph.traverse with traverse_dps

[ghstack-poisoned]

* Update on "Replace `torch.utils.data.graph.traverse` with `traverse_dps`"


CI is expected to fail for now. This should be merged only after https://github.com/pytorch/pytorch/pull/85667

 has been merged into nightly and internal.



[ghstack-poisoned]
Co-authored-by: Philip Meier <github.pmeier@posteo.de>