GitLab

* Add MobileNetV3 Architecture in TorchVision (#3182)

* Adding implementation of network architecture

* Adding rmsprop support on the train.py

* Adding auto-augment and random-erase in the training scripts.

* Adding support for reduced tail on MobileNetV3.

* Tagging blocks with comments.

* Adding documentation, pre-trained model URL and a minor refactoring.

* Handling better untrained supported models.

* Introduce small score threshold on rpn

* Adding docs and fixing keypoint and mask.

* Making value 0.0 by default for BC.

* Fixing for onnx.

* Update threshold.

* Removing non-default threshold from reference scripts.
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* initial commit of widerface dataset

* comment out old code

* improve parsing of annotation files

* code cleanup and fix docstring comments

* speed up check for quota exceeded

* cleanup print statements

* reformat code and remove print statements

* minor code cleanup and reformatting

* add more comments

* reuse variable

* reverse formatting changes

* fix flake8 errors

* add type annotations

* fix mypy errors

* add a base_folder to root directory

* some formatting fixes

* GDrive threshold does not throw 403 error

* testing new download logic

* cleanup logic for download and integrity check

* use a better variable name

* format fix

* reorder list in docstring

* initial widerface unit test - fails on MD5 check

* use list of dictionaries to store dataset

* fix docstring formatting

* remove unnecessary error checking

* fix type checker error

* revert typo fix

* rename var constants, use file context manager, verify str args

* fix flake8 error

* fix checking target_type argument values

* create uncompressed dataset folders

* cleanup unit tests for widerface

* use correct os function

* add more info to docstring

* disable unittests for windows

* fix _check_integrity logic

* update docstring

* remove citation

* remove target_type option

* fix formatting issue
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* remove comment and add more info to docstring

* update type annotations

* restart CI jobs
Co-authored-by: Joshua Bradley <jgbrad3@evoforge.org>
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: vfdev <vfdev.5@gmail.com>

* Update README.rst

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

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

* Fixing trainable_layers bug.

* minor doc fixes

* remove unused imports after manual review

* Update torchvision/datasets/voc.py
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* remove two more instances
Co-authored-by: Ben Weinstein <benweinstein@Bens-MacBook-Pro.local>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* adjust_hue

* adjust_*

* colorjitter

* Exposing LevelMapper params in MultiScaleRoIAlign

Ability to set the `canonical_scale` and `canonical_level` of LevelMapper from the init method of MultiScaleRoIAlign. 
Not sure if this is the right place to expose those parameters. 
Also, additional tests should be written.

Discussion in issue #3129

* MultiScaleRoIAlign keyword-only parameters + docs (pytorch#3129)

* Linter fix (trailing whitespace)
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Adding TORCH_SELECTIVE_* macros on op registration.

* Adding torchvision namespace.

* Speedup test_ucf101 (#2623 

* Speedup Cmake builds (#3186)

* Speedup test_autoaugment (#3190)

* Speedup DeformConvTester (#3191)

* Speedup InceptionV3 and GoogleNet on Windows (#3196)

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

`find_package(Python3 COMPONENTS Development)` is used in this `CMakeLists.txt`. This feature is supported only after cmake 3.12.

* Initial doc clean-up

* Remove all private docs

* Rename files

* Highlight backend inconsistencies

* Sequence and number

* [Need checking] AutoAugment related doc change

* Revert name changes

* Patches required for FBCode merge.

* Patching quantization model imports.

* import QuantizableMobileNetV2

* Adding newline to avoid lit errors

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

* Update ImageReadMode error messages, add newline at the end of image_read_mode.h, replace define with const in image_read_mode.h, add documentation to ImageReadMode enum

* Update readpng_cpu and readjpeg_cpu error messages

* Update image.py documentation

* Moving mobilenet.py to mobilenetv2.py

* Adding mobilenet.py for BC.

* Extending ConvBNReLU for reuse.

* Reduce import scope on mobilenet to only the public and versioned classes and methods.

* Fixing incorrect doc example in MNASNet.

* Fixing incorrect output.

* added the helper method for dimension checks

* unit tests for dimensio check function in functional_tensor

* code formatting and typing

* moved torch image check after tensor check

* unit testcases for test_assert_image_tensor added and refactored

* separate unit testcase file deleted

* assert_image_tensor added to newly created 6 methods

* test cases added for new 6 mthohds

* removed wrongly pasted posterize method and added solarize method for testing
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Replacing all torch.jit.annotations with typing

* Replacing remaining typing

* Invert Transform (#3104)

* Adding invert operator.

* Make use of the _assert_channels().

* Update upper bound value.

* Remove private doc from invert, create or reuse generic testing methods to avoid duplication of code in the tests. (#3106)

* Create posterize transformation and refactor common methods to assist reuse. (#3108)

* Implement the solarize transform. (#3112)

* Implement the adjust_sharpness transform (#3114)

* Adding functional operator for sharpness.

* Adding transforms for sharpness.

* Handling tiny images and adding a test.

* Implement the autocontrast transform. (#3117)

* Implement the equalize transform (#3119)

* Implement the equalize transform.

* Turn off deterministic for histogram.

* Fixing test. (#3126)

* Force ratio to be float to avoid numeric overflows on blend. (#3127)

* Separate the tests of Adjust Sharpness from ColorJitter. (#3128)

* Add AutoAugment Policies and main Transform (#3142)

* Separate the tests of Adjust Sharpness from ColorJitter.

* Initial implementation, not-jitable.

* AutoAugment passing JIT.

* Adding tests/docs, changing formatting.

* Update test.

* Fix formats

* Fix documentation and imports.

* Apply changes from code review:
- Move the transformations outside of AutoAugment on a separate method.
- Renamed degenerate method for sharpness for better clarity.

* Update torchvision/transforms/functional.py
Co-authored-by: vfdev <vfdev.5@gmail.com>

* Apply more changes from code review:
- Add InterpolationMode parameter.
- Move all declarations away from AutoAugment constructor and into the private method.

* Update documentation.

* Apply suggestions from code review
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Apply changes from code review:
- Refactor code to eliminate as any to() and clamp() as possible.
- Reuse methods where possible.
- Apply speed ups.

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

* Removing VISION_API from backward() methods and adding a ops.h

* Fixing clang format.

* Fix an issue that ShuffleNetV2 model is exported to a wrong ONNX file if dynamic_axes field was provided.

* Add a ut for the bug fix.

* Fix flake8 issue.

* Don't access each element in x.shape, use x.size() instead.
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Adapt to new torch export API for dictionary

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

* Enable ONNX test in circle CI

Summary:
* Reduce unnecessary header inclusions in models and io.

* Move autocast to separate folder and hide autograd implementation in an anonymous namespace.

* Moving files in subfolders.

Reviewed By: fmassa

Differential Revision: D25461523

fbshipit-source-id: 756eeb6848aacaa474de4825ed4c1045d17e2cea

* [WIP] Added CONTRIBUTING.md

* Updated CONTRIBUTING.md

* Update

* Moving deform_conv2d op registration.

* Moving nms op registration.

* Moving new_empty_tensor op registration.

* Moving ps_roi_align op registration.

* Moving ps_roi_pool op registration.

* Moving roi_align op registration.

* Moving roi_pool op registration.

* Restoring headers for forward/backward and fixing styles.

* Restoring the test hack on windows.

* Stricter header inclusion.

* Remove TravisCI

Add hub tests to CircleCI, coverage and ONNX are still missing

* Install torchvision dependencies on CI

The previous names were incompatible with internal fbcode naming rules