GitLab

* Allow gradient backpropagation through GeneralizedRCNNTransform to inputs
Signed-off-by: Beat Buesser <beat.buesser@ie.ibm.com>

* Add unit tests for gradient backpropagation to inputs
Signed-off-by: Beat Buesser <beat.buesser@ie.ibm.com>

* Update torchvision/models/detection/transform.py
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Update _check_input_backprop
Signed-off-by: Beat Buesser <beat.buesser@ie.ibm.com>

* Account for tests requiring cuda
Signed-off-by: Beat Buesser <beat.buesser@ie.ibm.com>
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Windows use size_t

* Temporarily pin jpeg <=9b

* Temporarily pin jpeg ==9c

* Remove pinning.

Co-authored-by: Julien RIPOCHE <ripoche@magic-lemp.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Add RandomMixupCutmix.

* Add test with real data.

* Use dataloader and collate in the test.

* Making RandomMixupCutmix JIT scriptable.

* Move out label_smoothing and try roll instead of flip

* Adding mixup/cutmix in references script.

* Handle one-hot encoded target in accuracy.

* Add support of devices on tests.

* Separate Mixup from Cutmix.

* Add check for floats.

* Adding device on expect value.

* Remove hardcoded weights.

* One-hot only when necessary.

* Fix linter.

* Moving mixup and cutmix to references.

* Final code clean up.

* Updated annotation to be a Union of Tensor and List

* Updated check_roi_boxes_shape.

* Added LFW Dataset

* Added dataset to list in __init__.py

* Updated lfw.py
* Created a common superclass for people and pairs type datatsets
* corrected the .download() method

* Added docstrings and updated datasets.rst

* Wrote tests for LFWPeople and LFWPairs

* Resolved mypy error: Need type annotation for "data"

* Updated inject_fake_data method for LFWPeople

* Updated tests for LFW

* Updated LFW tests and minor changes in lfw.py

* Updated LFW
* Added functionality for 10-fold validation view
* Optimized the code so to replace repeated lines by method in super
  class
* Updated LFWPeople to get classes from all lfw-names.txt rather than
  just the classes fron trainset

* Updated lfw.py and tests
* Updated inject_fake_data method to create 10fold fake data
* Minor changes in docstring and extra_repr

* resolved py lint errors

* Added checksums for annotation files

* Minor changes in test

* Updated docstrings, defaults and minor changes in test

* Removed 'os.path.exists' check
Co-authored-by: ABD-01 <myac931@gmai.com>
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Add deprecation warnings on vision::models

* Change the C++ example.

* Chage readme.

* Update deprecation warning.

* Added paper references to detection models

* Ignore linter warning

* Break long line into two

Co-authored-by: Vassilis Nicodemou <nikodim@ics.forth.gr>
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* add fx feature extraction util

* Make it possible to use train and eval mode

* FX feature extraction - Tweaks and small bug fixes

* FX feature extraction - add tests

* move to feature_extraction.py, add LeafModuleAwareTracer, add docs

* Tweaks to docs

* addressing latest round of feedback

* undo line spacing changes

* change type hints in docstrings

* fix sphinx indentation

* expose feature_extraction

* add maskrcnn example

* add api refernce subheading

* address latest review notes, refactor names, fix regex, cosmetics

* Add back efficientnet to models

* fix tests for effnet

* fix linting issue

* fix test tracer kwargs
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Add types in transform.

* Trace on eval mode.
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

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

* WIP on fixing index overflow issue

* Fixed backward pass for large num_kernels

* Fixed clang formatting

* Fixed GET_BLOCKS int/int64_t types issue
Co-authored-by: vfdev-5 <vfdev-5@gmail.com>
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Fix RA bugs.

* Fix bins for TA.

* Initial Proposal

* Tensor Save Test + Test Name Fix

* Formatting + removing unused argument

* fix old argument

* fix isnan check error + indexing error with jit

* Fix Flake8 error.

* Fix MyPy error.

* Fix Flake8 error.

* Fix PyTorch JIT error in UnitTests due to type annotation.

* Fixing tests.

* Removing type ignore.

* Adding support of ta_wide in references.

* Move methods in classes.

* Moving new classes to the bottom.

* Specialize to TA to TAwide

* Add missing type

* Fixing lint

* Fix doc

* Fix search space of TrivialAugment.
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Vasilis Vryniotis <vvryniotis@fb.com>

* Adding docs for RandAugment.

* Fix docs.

* Adding randaugment implementation

* Refactoring.

* Adding num_magnitude_bins.

* Adding FIXME.

* Explicitely store a distance value that is reused 

I don't see a reason to calculate the value twice for each distance. 

Knowing that this code is going to be called at every epoch and that probably there is not a compiler that optimizes this (+ also code clarity), I think is best to store the value for x and y.

* Update torchvision/models/detection/_utils.py
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* removing spaces
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Fixed a couple of typos and removed unnecessary bracket

* Fixed clang error

* fix

* add typings

* fixup some more types

* Type more

* remove mypy ignore

* add missing typings

* fix a few mypy errors

* fix mypy errors

* fix mypy

* ignore types

* fixup annotation

* fix remaining types

* cleanup #TODO comments
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* style: Added typing annotations

* Specified types for iter and seek.
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Vasilis Vryniotis <vvryniotis@fb.com>

* Update UCF101 docstring

* addressing @NicolasHugs comments

* Fixed flake8 error
Co-authored-by: Prabhat Roy <prabhatroy@fb.com>

* Adding code skeleton

* Adding MBConvConfig.

* Extend SqueezeExcitation to support custom min_value and activation.

* Implement MBConv.

* Replace stochastic_depth with operator.

* Adding the rest of the EfficientNet implementation

* Update torchvision/models/efficientnet.py

* Replacing 1st activation of SE with SiLU.

* Adding efficientnet_b3.

* Replace mobilenetv3 assets with custom.

* Switch to standard sigmoid and reconfiguring BN.

* Reconfiguration of efficientnet.

* Add repr

* Add weights.

* Update weights.

* Adding B5-B7 weights.

* Update docs and hubconf.

* Fix doc link.

* Fix typo on comment.

[FBcode->GH] Port quantize_val and dequantize_val into torchvision to avoid at::native and android xplat incompatibility (#4311)

Summary:
This diff ports `quantize_val` and `dequantize_val` from at::native to torchvision because native kernels are incompatible with android xplat builds (see D30234056).

This should only be temporary until we find a way to move those functions out of at::native, or until the at::native / android incompatibility disappears.

Reviewed By: fmassa

Differential Revision: D30393619

fbshipit-source-id: 18b7b1b349ad9a24088a120e23da7535f7fa7ddc
Co-authored-by: Nicolas Hug <nicolashug@fb.com>

* style: Added typing to models/video

* style: Fixed typing

* style: Fixed typing

* style: Fixed typing

* refactor: Removed default value for stem

* docs: Fixed docstring of VideoResNet

* style: Refactored typing

* docs: Fixed docstring

* style: Fixed typing

* docs: Specified docstring

* typing: Fixed tying

* docs: Fixed docstring

* Undoing change.

* style: Added typing annotations to segmentation/_utils

* style: Added typing annotations to segmentation/segmentation

* style: Added typing annotations to remaining segmentation models

* style: Fixed typing of DeepLab

* style: Fixed typing

* fix: Fixed typing annotations & default values

* Fixing python_type_check

* Adding operator.

* Adding tests

* switching order of `p` and `mode`.

* Remove seed setting.

* Replace stats import with pytest.importorskip.

* Fix doc

* Apply suggestions from code review
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Fixing indentation.

* Adding operator in the documentation.

* Fixing lint
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Unpinned the libjpeg version and fixed jpeg_mem_dest's size type Windows BC issue

* Temporarily get back pinned jpeg lib in order to run tests on CircleCI

* Revert "Temporarily get back pinned jpeg lib in order to run tests on CircleCI"

This reverts commit ab18a354150f750256b61911e54aa48621ef24cd.

* Used using instead of typedef and Fixed comment typo
Co-authored-by: Zhongkai Zhu <zhongkai@fb.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* fix

* add functional PIL typings

* fix types

* fix types

* fix a small one

* small fix

* fix type

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

* document video_sampler.

* minor docs for decoder.cpp

* descriptive comments for the stream.c

* descriptive comments for decoder.cpp

* per-stream descriptive comments

* Fixing CLANG hopefully

* addressing prabhat's comments

* typo I think
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>