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* Adding multiweight support for shufflenetv2 prototype models

* Revert "Adding multiweight support for shufflenetv2 prototype models"

This reverts commit 31fadbee7d1a65cd73ae43dfd4ac6e97e7ca7b01.

* Adding multiweight support for shufflenetv2 prototype models

* Revert "Adding multiweight support for shufflenetv2 prototype models"

This reverts commit 4e3d900f796c1e3e667312087e77956ca4a4c017.

* Adding multiweight support for shufflenetv2 prototype models

* addressing PR comment

* Show git diff after lint run

* break both flake8 and ufmt

* Make it run on fail

* Undo breaks and fix job message.

* [WIP] Added script to sync fbcode changes with main branch

* Make unique branches for multiple runs of the script

* Updated the files

* Change echo message

* Addressed review comments

* Removed from_repo command line argument

* Make fork_main_branch optional

* adding multiweight support for deeplabv3 prototype models

* adding default values for optional params

* fixing bug

* addressing PR comment

* fixing seed in test_batched_nms_implementations

* change seeds in test_batched_nms_implementations

* change seeds in test_batched_nms_implementations

* Add mutli-weight support for VideoResNet.

* Fix linter.

* Minor refactoring.

* Update comments.

Co-authored-by: Nicolas Hug <nicolashug@fb.com>

* setting 100 seeds

* back to 10 seeds

* Trying with 100 seeds

* Change seeds from 100 to 10

* setting 100 seeds, let's see if it fails

* Passed with 100, so setting 10

* adding multiweight support for deeplabv3 prototype models

* adding default values for optional params

* fixing bug

* addressing PR comment

* Change test_random_apply

* Change test_random_choice

* Change test_randomness

* took care of RandomVert/HorizFlip

* take care of RandomGrayScale

* minor cleanup

* avoid 0 degree rotation just in case

* Fix flakiness on the TestStochasticDepth test.

* Fix minor bug when p=1.0

* Remove device and dtype setting.

* cache dataset info

* try loading categories file by default
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Adding multi-weight support to LRASPP

* Adding tests for segmentation models.

* Skip segmentation test by default.

Relocate fails to find nvjpeg unless its present in the library search path.

* Refactoring tests.

* Fixing lint.

* Skip tests for models that don't have weights.

Co-authored-by: Prabhat Roy <prabhatroy@fb.com>

* replace np.frombuffer with torch.frombuffer in MNIST prototype

* cleanup

* appease mypy

* more cleanup

* clarify inplace offset

* fix num bytes for floating point data

Summary:
Pull Request resolved: https://github.com/pytorch/vision/pull/4718



As title

Reviewed By: hanton

Differential Revision: D31853335

fbshipit-source-id: 7e8afb7280bbdf81418dfbdfc329ab49837ea42e
Co-authored-by: Yuchen Huang <hyc@fb.com>

Summary:
Pull Request resolved: https://github.com/pytorch/vision/pull/4620

Pull Request resolved: https://github.com/pytorch/nestedtensor/pull/455



Fixes missing kernel guards as identified by D30072495

Reviewed By: jingsh, xush6528

Differential Revision: D31553158

fbshipit-source-id: 80de017ba2ddc52e2a684df9b3eae5de84ed49f4
Co-authored-by: Richard Barnes <rbarnes@fb.com>

Summary:
Pull Request resolved: https://github.com/pytorch/vision/pull/4571



Fixing windows build for `torchvision` when `MOBILE` is defined. In `csrc/vision.cpp`, since `PyMODINIT_FUNC` depends on `Python.h` I added the same condition for `PyMODINIT_FUNC` as the one for `import <PyTorch.h>`.

Reviewed By: malfet

Differential Revision: D31488734

fbshipit-source-id: fd52a9ab161288d9c8bf3b9e0ab9da856a4ebadb
Co-authored-by: Mengwei Liu <larryliu@fb.com>

* fix cuda installation failure in packaging

* rm stop windows upgrade

* Update cuda_install.bat
Co-authored-by: Nikita Shulga <nshulga@fb.com>

* Removed unnecessary if from setup.py

* Removed empty line

* Update model checkpoint for resnet50.

* Add get_weight method to retrieve weights from name.

* Update the references to support prototype weights.

* Fixing mypy typing.

* Switching to a python 3.6 supported equivalent.

* Add unit-test.

* Add optional num_classes.

Summary: As titled.

Reviewed By: sallysyw

Differential Revision: D31813675

fbshipit-source-id: 8ff879be172530bcc41aae5d71c67e1e90f09cbf
Co-authored-by: Kai Zhang <kaizh@fb.com>

* Expand usage logging to detection models

Summary: Track all detection model instantiation.

Reviewed By: sallysyw

Differential Revision: D31741603

fbshipit-source-id: 89467db5d89ea41c5a9ab95d1846264d0a1f4199

* Fix lint
Co-authored-by: Kai Zhang <kaizh@fb.com>

Summary: We would like to track the internal usage of TorchVision components. We're tracking [datasets usage](https://fburl.com/daiquery/dqpmemn3

) now. This diff expand the tracking to all models.

Reviewed By: fmassa

Differential Revision: D31441632

fbshipit-source-id: e26072e582ac9f832c2056307ebf0eccf2ed6c9c
Co-authored-by: Kai Zhang <kaizh@fb.com>

* Add mutli-weight support for FCN.

* Rename base_size to resize_size.