GitLab

* Improved meta-data for models.

* Addressing comments from code-review.

* Add parameter count.

* Fix linter.

* add prototype dataset

* add old-style dataset

* appease mypy

* simplify prototype scenes

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

* Added GTSRB dataset

* Added unittest for GTSRB dataset

* Apply suggestions from code review

* More changes from code review

* readd accidental removed line
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* add prototype dataset

* add old style dataset

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

* refactor integrity check
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* add DTD as prototype dataset

* add old style dataset

* add test for old dataset

* fix tests for windows

* add dataset to docs

* remove properties and use pathlib

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

* fold -> partition
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* [WIP] Add video GPU decoder

* Expose use_dev_frame to python class and handle it internally

* Fixed invalid argument CUDA error

* Fixed empty and missing frames

* Free remaining frames in the queue

* Added nv12 to yuv420 conversion support for host frames

* Added unit test and cleaned up code

* Use CUDA_HOME inside if

* Undo commented out code

* Add Readme

* Remove output_format and use_device_frame optional arguments from the VideoReader API

* Cleaned up init()

* Fix warnings

* Fix python linter errors

* Fix linter issues in setup.py

* clang-format

* Make reformat private

* Member function naming

* Add comments

* Variable renaming

* Code cleanup

* Make return type of decode() void

* Replace printing errors with throwing runtime_error

* Replaced runtime_error with TORCH_CHECK in demuxer.h

* Use CUDAGuard instead of cudaSetDevice

* Remove printf

* Use Tensor instead of uint8* and remove cuMemAlloc/cuMemFree

* Use TORCH_CHECK instead of runtime_error

* Use TORCHVISION_INCLUDE and TORCHVISION_LIBRARY to pass video codec location

* Include ffmpeg_include_dir

* Remove space

* Removed use of runtime_error

* Update Readme

* Check for bsf.h

* Change struct initialisation style

* Clean-up get_operating_point

* Make variable naming convention uniform

* Move checking for bsf.h around

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

* 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.

* Add Food101 Dataset

Addresses #5108.
cc @pmeier @NicolasHug

* Remove unecessary Path contructor calls

* Remove unecessary Path contructor callsi and fix types

* Fix tests

* Address PR comments from @pmeier

* Fix bug in tests and in food101 dataset

* Fix bug in tests and in food101 dataset

* Update torchvision/datasets/food101.py
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* add sharding filters in prototype datasets to help the data loader

* hint rather than apply

* fix sharding for folders

* fix import

* fix coco

* appease mypy

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

* Adding test that verifies meta schema.

* Adding missing interpolation to keypoint model.

* Change assertion.

* Adding map metric in meta schema for detection and renaming metrics for kp and mask rcnn.

* add download functionality to prototype datasets

* fix annotation

* fix test

* remove iopath

* add comments

* simplify model builders

* cleanup

* refactor kwonly to pos or kw handling

* put weight verification back

* revert num categories checks

* fix default weights

* cleanup

* remove manual parameter map

* refactor decorator interface

* address review comments

* cleanup

* refactor callable default

* fix type annotation

* process ungrouped models

* cleanup

* mroe cleanup

* use decorator for detection models

* add decorator for quantization models

* add decorator for segmentation  models

* add decorator for video  models

* remove old helpers

* fix resnet50

* Adding verification back on InceptionV3

* Add kwargs in DeeplabeV3

* Add kwargs on FCN

* Fix typing on Deeplab

* Fix typing on FCN
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

making torchvision ops leaf nodes by default

* improve COCO prototype

* test 2017 annotations

* add option to include captions

* fix categories and add tests

* cleanup

* add correct image size to bounding boxes

* fix annotation collation

* appease mypy

* add benchmark

* always use image as reference

* another refactor

* add support for segmentations

* add support for segmentations

* fix CI dependencies

* Change the `default` weights mechanism to sue Enum aliases.

* Change `get_weights` to work with full Enum names and make it public.

* Applying improvements from code review.

* Fix bug on autocontrast when `min==max`

* Adding PIL vs TorchVision test for min==max

* Rename classes Weights => WeightsEnum and WeightEntry => Weights.

* Make enum values follow the naming convention `_V1`, `_V2` etc

* Cleanup the Enum class naming conventions.

* Add a test to check naming conventions.

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

* Update functional_tensor.py

To resolve issue #4818
Add assert function and logic after checking bound of image

* Update functional_tensor.py

* Update test

* Update test_functional_tensor.py

* Update test_functional_tensor.py

* Update test_functional_tensor.py

* Update test_functional_tensor.py

* Update test_functional_tensor.py

* Update test_functional_tensor.py

* Update test_functional_tensor.py

* Update test_functional_tensor.py

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

* [vit] Adding ViT to torchvision/models

* adding pre-logits layer + resolving comments

* Fix the model attribute bug

* Change version to arch

* fix failing unittests

* remove useless prints

* reduce input size to fix unittests

* Increase windows-cpu executor to 2xlarge

* Use `batch_first=True` and remove classifier

* Change resource_class back to xlarge

* Remove vit_h_14

* Remove vit_h_14 from __all__

* Move vision_transformer.py into prototype

* Fix formatting issue

* remove arch in builder

* Fix type err in model builder

* address comments and trigger unittests

* remove the prototype import in torchvision.models

* Adding vit back to models to trigger CircleCI test

* fix test_jit_forward_backward

* Move all to prototype.

* Adopt new helper methods and fix prototype tests.

* Remove unused import.
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Vasilis Vryniotis <vvryniotis@fb.com>

* enable caching of model weights for prototype CI

* syntax

* syntax

* make cache dir dynamic

* increase verbosity

* fix

* use larget CI machine

* revert debug output

* [DEBUG] test env var usage in save_cache

* retry

* use checksum for caching

* remove env vars because expansion is not working

* syntax

* cleanup

* base caching on model-urls

* relax regex

* cleanup skips

* cleanup

* fix skipping logic

* improve step name

* benchmark without caching

* benchmark with external download

* debug

* fix manual download location

* debug again

* download weights in the background

* try parallel download

* add missing import

* use correct decoractor

* up resource_class

* fix wording

* enable stdout passthrough to see download during test

* remove linebreak

* move checkout up

* cleanup

* debug failing test

* temp fix

* fix

* cleanup

* fix regex

* remove explicit install of numpy

* 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.

* 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>

* add third party dependencies to prototype datasets

* add test for Dataset.to_datapipe

* add missing annotation

* 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: Francisco Massa <fvsmassa@gmail.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

* Stop detection models from downloading the backbone weights

* Fix linter