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* Negative padding for functional_tensor symmetric

Along with #2744 this will make negative padding
uniform between PIL and Tensor #2381

* Enable tests for negative symmetric pad with tensor
Co-authored-by: vfdev <vfdev.5@gmail.com>

* add download tests for CIFAR

* fix tests in case of bad request

* make convert_image_dtype scriptable

* move convert dtype to functional_tensor since only works on tensors

* retain availability of convert_image_dtype in functional.py

* Update code and tests

* Replaced int by torch.dtype

* int -> torch.dtype and use F instead of F_t

* Update functional_tensor.py

* Added CPU/CUDA+batch tests

* Fixed tests according to review
Co-authored-by: Brian <nairbv@yahoo.com>

- Fixed incorrect docs layout and a warning

* Fix cmake cuda build for Windows

* add gpu test jobs

* Update .circleci/regenerate.py
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* make convert_image_dtype scriptable

* move convert dtype to functional_tensor since only works on tensors

* retain availability of convert_image_dtype in functional.py

* Update code and tests

* Replaced int by torch.dtype

* int -> torch.dtype and use F instead of F_t

* Update functional_tensor.py
Co-authored-by: vfdev-5 <vfdev.5@gmail.com>

* Negative padding for functional_pil #2381

* Tests for PIL negative padding #2381

* Move PIL vs tensor test inside test_pad

* Adapt test_pad from test_transforms_tensor.py
Co-authored-by: vfdev <vfdev.5@gmail.com>

This is to workaround CMake 3.18.3 bug with a bad regex, which happens to be valid with new parser.
Since probably any distro with CMake 3 won't stuck with 3.0, there shall be no real impact with this increase.
Fix https://github.com/pytorch/vision/issues/2701

* adds boxes conversion

* adds documentation

* adds xywh tests

* fixes small typo

* adds tests

* Remove sphinx theme

* corrects assertions

* cleans code as per suggestion
Signed-off-by: Aditya Oke <okeaditya315@gmail.com>

* reverts assertion

* fixes to assertEqual

* fixes inplace operations

* Adds docstrings

* added documentation

* changes tests

* moves code to box_convert

* adds more tests

* Apply suggestions from code review

Let's leave those changes to a separate PR

* fixes documentation
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

- Updated code and tests to support batch of tensors, e.g. input of shape (B, C, H, W).

* add download tests for Caltech(101|256)

* lint

* Add macos unittest

* Add wget

Change the default anchor generator settings to default Faster RCNN version(without FPN), so it is hopefully less misleading. Also add an assert to grad_anchors functions to make sure people use it as it is aspected.

Otherwise, torch jit scripted function raises exception on save

* Readme for video models.

* Adressing @fmassa comments
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Add encode/write_png functions

* Do not redefine

* Style issues correction

* Comply with low-level interface

* Minor comment correction

* Add python frontend functions

* Add encode_png test

* Pass compession level to encode_png

* Do not compare output buffers

* Convert to bytes

* Compare pil image instead of buffer

* Add error tests

* Add test_write_png

* Remove png test assets

* Register writePNG correctly

* Update write_png docstring

* Do not preserve PIL image beyond the scope
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Add decode_image op

* Fix lint

* More lint

* Add C10_EXPORT

* fix triggers for scheduled workflow

* more fix

* add missing repository checkout

* try fix label in template

* rewrite test infrastructure

* trigger issue generation

* try fix issue template

* try remove quotes

* remove buggy label

* try fix title

* cleanup

* add more test details

* reenable issue creation
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

This reverts commit 81d76487.

* Add decode and write JPEG ops

* Fix styling issues

* Use int64_t instead of int

* Use std::string

* Use jpegcommon.h for read_jpeg

* Minor updates to error handling in read

* Include header only once

* Reverse header inclusion

* Update common header

* Add common definitions

* Include string

* Include header?

* Include header?

* Add Python frontend calls

* Use unsigned long directly

* Fix style issues

* Include cstddef

* Ignore clang-format on cstddef

* Also include stdio

* Add JPEG and PNG include dirs

* Use C10_EXPORT

* Add JPEG encoding test

* Set quality to 75 by default and add write jpeg test

* Minor error correction

* Use assertEquals by assertEqual

* Remove test results

* Use pre-saved PIL output

* Remove extra PIL call

* Use read_jpeg instead of PIL

* Add error tests

* Address review comments

* Fix style issues

* Set test case to uint8

* Update test error check

* Apply suggestions from code review

* Fix clang-format

* Fix lint

* Fix test

* Remove unused file

* Fix regex error message

* Fix tests
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* tries adding genaralized_iou

* fixes linting

* Adds docs for giou, iou and box area

* fixes lint

* removes docs to fixup in other PR

* linter fix

* Cleans comments

* Adds tests for box area, iou and giou

* typo fix for testCase

* fixes typo

* fixes box area test

* fixes implementation

* updates tests to tolerance

Replace nonzero by where, now that it works with just a condition

* [WIP] All transforms are now derived from torch.nn.Module
- Compose, RandomApply, Normalize can be jit scripted

* Fixed flake8

* Updated code and docs
- added getattr to Lambda and tests
- updated code and docs of Compose
- added failing test with append/extend on Composed.transforms

* Fixed flake8

* Updated code, tests and docs

* partially enable mypy for .models

* fix existing errors

* ignore error instead of using Union

* run download tests on a daily schedule

* add blank line

* add issue template as workflow trigger

* try broaden workflow triggers

* run scheduled test after nightlies are published

* try remove schedule as workflow trigger

* restore workflow triggers

* cleanup

* Revert "remove dummy workflow"

This reverts commit d094e4bf2c3da2392bf1298450b97d9d63a15bfc.

* cleanup

This reverts commit cd4761f4.

* Refactor transforms input checks
- added _setup_size to check and setup size argument

* More refactor

Co-authored-by: Your Name <you@example.com>
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Adds docs and fixes improts for ops and io

* reverts io and init for images

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

* Make JPEG/PNG return images in CHW format

* Use int array

* [WIP] Added tests on batch of tensors

* Updated tests on batch of images

* All functional transforms can work with (..., C, H, W) format

* Added transforms tests on batch tensors

* Added batch tests for five/ten crop
- updated docs