GitLab

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

* 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

* 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

* 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

* update test_models.py

* update tests

* fix linting

* fix linting

* add comment

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

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

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

* 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

* 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>

* 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>

* add more size types for prototype resize sample inputs

* add skip for dispatcher

* add more sizes to resize kernel info

* add more skips

* add more diversity to gaussian_blur parameters

* diversify affine parameters and fix bounding box kernel

* fix center_crop dispatcher info

* revert kernel fixes

* add skips for scalar shears in affine_bounding_box

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

* Ignore deprecation warning from traverse function

* remove only_datapipe

* reinstate warning ignore for DL test

* ignore warning class wide due to priority
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Remove cpp models

* Also remove the whole models folder in csrc

* Cleanup test for cpp model

* add segmentation reference consistency tests

* fall back to smoke tests for resize

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

* 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>

* add KernelInfo for adjust_brightness

* add KernelInfo for adjust_contrast

* add KernelInfo for adjust_hue

* add KernelInfo for adjust_saturation

* add KernelInfo for clamp_bounding_box

* add KernelInfo for {five, ten}_crop_image_tensor as well as skip functionality

* add KernelInfo for normalize

* add KernelInfo for adjust_gamma

* cleanup

* add DispatcherInfo's for previously add KernelInfo's

* add dispatcher info for elastic

* cleanup prototype transforms functional tests

* fix

* oust local functions

* port vertical_flip

* port rotate

* port crop

* port resized_crop

* port pad

* port perspective

* port elastic

* port center_crop

* port gaussian_blur

* port equalize

* port invert

* port posterize

* port solarize

* port autocontrast

* port adjust_sharpness

* port erase

* fix kernel infos

* renable crop references

* add tolerances to gaussian_blur kernel info

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

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

* add xfailed smoke tests for dispatchers

* also support old FunctionalInfo's

* try reduce memory consumption for CI

* fix sample inputs generation
Co-authored-by: vfdev <vfdev.5@gmail.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

Not sure what have changed between CUDA-11.3 and CUDA-11.6, but bumping tolerance keeps tests green

* fix convert_format_bounding_box, affine_bounding_box, and resize_bounding_box

* fix perspective and elastic

* fix tests

* fix PIL and tensor mask comparison

* introduce kernel_name field

* add dtype consistency test

* port some tests from old framework

* add kernel infos for conversion kernels

* cleanup

* use nearest and bicubic for resize image sample inputs

* make parametrization id more obvious

* use named sentinel instead of None for random image size