GitLab

* Updated the link for densenet recipe.

* Set default value of `num_classes` and `num_keypoints` to `None`

* Provide helper methods for parameter checks to reduce duplicate code.

* Throw errors on silent config overwrites from weight meta-data and legacy builders.

* Changing order of arguments + fixing mypy.

* Make the builders fully BC.

* Add "default" weights support that returns always the best weights.

Otherwise, it `setuptools.py`  will try to install latest, which is not compatible with Python runtime older than 3.8

Fixes https://github.com/pytorch/vision/issues/4985

* style: Fixed last missing typing annotation

* style: Fixed typing

* style: Fixed remaining typing annotations

* style: Fixed typing

* style: Fixed typing

* refactor: Removed unused import

* Update torchvision/datasets/video_utils.py
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Prabhat Roy <prabhatroy@fb.com>

* don't close file handles in protoype dataset tests

* remove file closing from decoder
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

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

* change to stable sort in nms implementations

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

* add third party dependencies to prototype datasets

* add test for Dataset.to_datapipe

* add missing annotation

* Add multi-type support on get_weight.

* Fix bug on method call.

* Adding logging suffix for QAT.

* Update wide_resnet101 accuracy values and path to improved model

* Fixed github link

* add FloReader datapipe

* add NumericBinaryReader

* revert unrelated change

* cleanup

* cleanup

* add comment for byte reversal

* use numpy after all

* appease mypy

* use .astype() with copy=False

* add docstring and cleanuo

* reuse current _read_flo and revert MNIST changes

* cleanup

* revert demonstration

* refactor

* cleanup

* add support for mutable memory

* add test

* add comments

* catch more exceptions

* fix mypy

* fix variable names

* hardcode flow sizes in test

* add fix dtype docstring

* expand comment on different reading modes

* add comment about files in update mode

* add tests for fromfile

* cleanup

* cleanup

Co-authored-by: Philip Meier <github.pmeier@posteo.de>

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

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

* style: Added typing annotations

* style: Fixed lint

* style: Fixed typing

* chore: Updated mypy.ini

* style: Fixed typing

* chore: Updated mypy.ini

* style: Fixed typing compatibility with jit

* style: Fixed typing

* style: Fixed typing

* style: Fixed missing import

* style: Fixed typing of __iter__

* style: Fixed typing

* style: Fixed lint

* style: Finished typing

* style: ufmt the file

* style: Removed unnecessary typing

* style: Fixed typing of iterator
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Prabhat Roy <prabhatroy@fb.com>

* return features instead of vanilla tensors from prototype datasets

* fix tests

* remove inplace

* add explanation for __init_subclass__

* fix label for test split

* relax test

* remove pixels

* refactoring methods from MultiScaleRoIAlign

* Add new weights for MobileNetV3 Large.

* Update weights for ResNet101.

* Update weights for ResNet152.

* Update numbers of ResNet101 and ResNet152 with batch size 1.

* Adding new weights for ResNeXt101_32x8d

* Batch size 1 stats for ResNeXt101_32x8d

* Update weights for MobileNetV3 Large.

* Update weights for ResNeXt50.

* Fix merge issues.

* Updating the URLs to indicate the recipe config.

* Set cuversion to 113 for cmake builds

* Build CUDA-11 Windows cmake using C++17

* Cherry-pick pkg_helper changes from pytorch/audio back to vision
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

Cherry-pick pkg_helper changes from https://github.com/pytorch/audio/commit/0f8443050bd6ce402f939ef6876fccf1a2dacf16 (#4944)

Add CUDA_HOME to PATH to fix Cmake builds
Define `FORCE_CUDA` only when CUDA_PATH is present (or if RocM)

* Disable WeightEntry to pass-through `Weights.verify()`

* Rename `Weights.state_dict()` to `Weights.get_state_dict()`

* Add TODO for missing doc.

* Moving warning messages for googlenet.

* Upper-case global `_COMMON_META` var

* Replace argument with parameter in all warnings.

* chore: Updated pillow version specifier

* docs: Updated issue ref in comment

* support amp training

* support amp training

* support amp training

* Update references/detection/train.py
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Update references/detection/engine.py
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

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

Removed pandas references from the repo

* Stop detection models from downloading the backbone weights

* Fix linter