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* Stop detection models from downloading the backbone weights

* Fix linter

* add initial chunk of prototype transforms

* fix tests

* add error message

* fix more imports

* add explicit no-ops

* add test for no-ops

* cleanup

This reverts commit 85b78580.

* Start writing gallery example

* Remove the child image fix implementation add code

* add docs

* Apply suggestions from code review
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* address review update thumbnail
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

Description:
- Applied `contiguous` on decoded output tensor in decode_jpeg and decode_png ops
- Updated tests and docs

Related to #4880

* fix

* Outline Keypoints API

* Add utility

* make it work :)

* Fix optional type

* Add connectivity, fmassa's advice 😃



* Minor code improvement

* small fix

* fix implementation

* Add tests

* Fix tests

* Update colors

* Fix bug and test more robustly

* Add a comment, merge stuff

* Fix fmt

* Support single str for merging

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

* add test split for imagenet

* add infinite buffer size to shuffler

* disable weight download and state dict loading for model tests

* fix indent

* debug

* nuclear option

* revert unrelated change

* cleanup

* add explanation

* typo

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

* add prototype features

* add some JIT tests

* refactor input data handling

* refactor tests

* cleanup tests

* add BoundingBox feature

* mypy

* xfail torchscript tests for now

* cleanup

* fix imports

* add tests for builtin prototype datasets

* fix caltech101

* fix emnist

* fix mnist and variants

* add iopath as test requirement

* fix MNIST warning

* fix qmnist data generation

* fix cifar data generation

* add tests for imagenet

* cleanup

* modify processPacket to support fast seek

* add fastSeek to ProcessPacket decoder definition

* add fastseek flag to DecoderParametersStruct

* add fastseek flag to the process packet call

* no default params in C++ implementation

* enable flag in C++ implementation

* make order of parameters more normal

* register new seek with python api

* [somewhat broken] test suite for keyframes using pyav

* revert " changes

* add type annotations to init

* Adding tests

* linter

* Flake doesn't show up :|

* Change from unitest to pytest syntax

* add return type
Co-authored-by: Prabhat Roy <prabhatroy@fb.com>

* Reordering the builders to use proper typing.

* Adding additional meta-data on existing quantized models.

* Fixing meta on unquantized model.

* Adding quantized googlenet builder.

* undo inception move.

* Adding recipe information.

* Aligning exception with all other models.

* Adding prototype preprocessing on video references.

* Adding the rest of model builders on faster_rcnn.

* Adding multi-weight support to Quantized ResNet.

* Update references script to support testing quantized models with the new API.

* Handle quantized models correctly in ref script.

* Fixing references for quantization.

* add tests for prototype datasets API

* add pytest-mock as test dependency

* remove unnecessary fixtures

* Apply suggestions from code review
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* address first batch of review comments

* remove dynamic class generation

* aggregate similar tests

* split immutable tests once again

* removed unused fixture

* remove re.escape usages

* fix dataset mock
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* 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

* 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.

* Adding multi-weight support to LRASPP

* Adding tests for segmentation models.

* Skip segmentation test by default.

* Refactoring tests.

* Fixing lint.

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

* 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.