GitLab

* use head request for redirects

* remove requests dependency

* add tests

* fix bug

* remove tests

* fix comment

* fix comment

* add warning

* fix syntax error

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

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

* add missing docs

* tries fixing docs

* fixes docs

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

* add mirrors to (Fashion|K)MNIST

* fix download tests for MNIST

We are experiencing 403s when trying to download from the main mnist
site so lets fallback to our own mirror on failure.
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

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

* add _all for autoaugment

* adds docs

* add docs, test locally

* refactored as per code review

* Stash commit

* Refactoring the current tests in a simpler file

* Addressing Francisco's comments, attempt 1

* Remove old tests

* audio changes

* adding some comments

* Stash commit

* Refactoring the current tests in a simpler file

* Addressing Francisco's comments, attempt 1

* Remove old tests

* audio changes

* adding some comments

* adding the py39 check stuff
Co-authored-by: Bruno Korbar <korbar@vggdev9.vggdev.cluster>
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* use bincount instead of hist

* only use bincount when on CPU

* Added equality test for CPU vs cuda

* Fix flake8 and tests

* tuple instead of int for size

* new batched_nms implem

* flake8

* hopefully fix torchscipt tests

* Use where instead of nonzero

* Use same threshold (4k) for CPU and GPU

* Remove use of argsort

* use views again

* remove print

* trying stuff, I don't know what's going on

* previous passed onnx checks so the error isn't in _vanilla func. Trying to return vanilla now

* add tracing decorators

* cleanup

* wip

* ignore new path with ONNX

* use vanilla if tracing...????

* Remove script_if_tracing decorator as it was conflicting with _is_tracing

* flake8

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

* WIP, still needs tests and docs

* tests

* flake8

* Docs + fixed some tests

* proper error messages

* add custom user agent for download_url

* fix progress bar

* lint

* [test] use repo instead of nightly for download tests

* fixed origin head

* fixed inconsistent casting

* updated functional_tensor.py

Modified the .to() method to convert_image_dtype() method.

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

* add tests for PhotoTour dataset

* fix grayscale image generation

* fix test_feature_types for a examples of a single feature

* make image size variable instead of hard coding it

* make dataset length variable instead of hard coding it

* replace numpy with torch

* fix typo

* include intended structure of root directory in docstring of Kinetics400

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

Co-authored-by: vfdev <vfdev.5@gmail.com>
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

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

Current implementation is generating bad graph after onnx conversion. So replacing with flatten like in mobilenetv3 code.
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* deprecate _video modules

* flake8
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

Co-authored-by: vfdev <vfdev.5@gmail.com>

* Specify coordinate constraints

* some more

* flake8

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

* use common download utils in VOC and SBDataset

* add tests for VOC

* use common base class for VOC datasets

* remove old voc test and fake data generation
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Avoid freezing bn1 if all layers are trainable.

* Remove misleading comments.

Fixes #3393

* Replace type T with accumulator.

* Upcast tensors of box ops to avoid overflow in multiplications.

* On MSVC, instruct the linker not to drop the _register_ops symbol

* Remove workaround for ops registration on windows
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

Summary:
Noticed this copy-paste error while reading D26026259 (https://github.com/pytorch/vision/commit/f16322b596c7dc9e9d67d3b40907694f29e16357) for inspiration to solve a similar problem

Created from Diffusion's 'Open in Editor' feature.

Reviewed By: datumbox

Differential Revision: D26373056

fbshipit-source-id: d67f46243a280e8a59d12bad9dd730c1a3d512c9

* Adding TODO placeholders.

* More placeholders.

* Add MobileNetV3 small pre-trained weights.

* Remove placeholders.

* aspect ratio must be a sampling from log scale.
reference from: https://github.com/pytorch/vision/blob/8317295c1d272e0ba7b2ce31e3fd2c048235fc73/torchvision/transforms/transforms.py#L833-L836



* add random erasing unittest code

* Increased threshold for difference in sampling rate

* move outside of the loop

* log_ratio move outside of the loop. RandomResizedCrop also
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* fix STL10 folds

* use np.int64 over np.long