GitLab

* 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

Co-authored-by: Nicolas Hug <nicolashug@fb.com>

* add ufmt as code formatter

* cleanup

* quote ufmt requirement

* split imports into more groups

* regenerate circleci config

* fix CI

* clarify local testing utils section

* use ufmt pre-commit hook

* split relative imports into local category

* Revert "split relative imports into local category"

This reverts commit f2e224cde2008c56c9347c1f69746d39065cdd51.

* pin black and usort dependencies

* fix local test utils detection

* fix ufmt rev

* add reference utils to local category

* fix usort config

* remove custom categories sorting

* Run pre-commit without fixing flake8

* got a double import in merge
Co-authored-by: Nicolas Hug <nicolashug@fb.com>

* update channels parameter to every calling to check_functional_vs_PIL_vs_scripted

* update adjust_saturation

* update docstrings for functional transformations

* parametrize channels

* update docstring of ColorJitter class

* move channels to class's parameter

* remove testing channels for geometric transforms

* revert redundant changes

* revert redundant changes

* update grayscale test cases for randaugment, autoaugment, trivialaugment

* update docstrings of randaugment, autoaugment, trivialaugment

* update docstring of ColorJitter

* fix adjust_hue's docstring

* change test equal tolerance

* refactor grayscale tests

* make get_grayscale_test_image private

* Skip building torchvision with ffmpeg when python==3.9

* Add FIXME to comments

* Replace in test_datasets*

* Replace in test_image.py

* Replace in test_transforms_tensor.py

* Replace in test_internet.py and test_io.py

* get_list_of_videos is util function still use get_tmp_dir

* Fix get_list_of_videos siginiture

* Add get_tmp_dir import

* Modify test_datasets_video_utils.py for test to pass

* Fix indentation

* Replace get_tmp_dir in util functions in test_dataset_sampler.py

* Replace get_tmp_dir in util functions in test_dataset_video_utils.py

* Move get_tmp_dir() to datasets_utils.py and refactor

* Fix pylint, indentation and imports

* import shutil to common_util.py

* Fix function signiture

* Remove get_list_of_videos under context manager

* Move get_list_of_videos to common_utils.py

* Move get_tmp_dir() back to common_utils.py

* Fix pylint and imports
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

Co-authored-by: Vincent Moens <vmoens@fb.com>

* test_video_reader pytest refactoring

* pytest refactoring of test_videoapi.py

* test_video_reader pytest refactoring

* pytest refactoring of test_videoapi.py

* using pytest.approx for test_video_reader.py

* using pytest.approx for test_videoapi.py

* Fixing minor comments

* linting fixes

* minor comments
Co-authored-by: Vincent Moens <vmoens@fb.com>

Co-authored-by: Nicolas Hug <nicolashug@fb.com>

* Speed up keypoint and retina.

* Update keypoint expected file

* Speed up fasterrcnn_resnet50_fpn.

* Speed up maskrcnn_resnet50_fpn.

* Updating params to resolve flakiness.

* limit runs to those 4 tests

* Relaxing precision to resolve flakiness

* Undo test filtering

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

Co-authored-by: James Thewlis <james@unitary.ai>

Summary:
Pull Request resolved: https://github.com/pytorch/vision/pull/3748

This PR parametrizes the `perspective`-related tests, and avoids having deeply nested for-loops which will help debugging. "What" gets tested is left unchanged.

The newly-introduced `cpu_and_gpu()` generator along with the `dont_collect` mark is a logic that allows to not run CPU tests on GPU machines (and vice versa).

Reviewed By: fmassa

Differential Revision: D27908299

fbshipit-source-id: 24a10a89fe90ae0a9e62de4bc7e768a669ebf212

* refactor test_models to use pytest

* Also xfail the detection models

* Remove xfail and just comment out expected failing parts

* Comment out some more

* put back commented checks

* cleaning + comment

* docs

* void unnecessary changes

* r2plus1d_18 seems  to segfault on linux gpu??

* put back test, failure is unrelated
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* fix test

* more robust test

* flake8
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* generalize extract_archive

* [test] re-enable extraction tests on windows

* add tests for detect_file_type

* add error messages to detect_file_type

* Revert "[test] re-enable extraction tests on windows"

This reverts commit 7fafebb0f6b4c49bd72c4b5e0a0b4b8c432bce57.

* add utility functions for better mock call checking

* add tests for decompress

* simplify logic by using pathlib

* lint

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

* make decompress private

* remove unnecessary checks

* add error message

* fix mocking

* add remaining tests

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

* add base class for datasets tests

* add better type hints

* add documentation to subclasses

* add utility functions to create files / folders of random images and videos

* fix imports

* remove class properties

* fix smoke test

* fix type hints

* fix random size generation

* add Caltech256 as example

* add utility function to create grid of combinations

* add CIFAR100? as example

* lint

* add missing import

* improve documentation

* create 1 frame videos by default

* remove obsolete check

* return path of files created with utility functions

* [test] close PIL file handles before deletion

* fix video folder creation

* generalize file handle closing

* fix lazy imports

* add test for transforms

* fix explanation comment

* lint

* force load opened PIL images

* lint

* copy default config to avoid inplace modification

* enable additional arg forwarding

Summary:
Pull Request resolved: https://github.com/pytorch/vision/pull/3370

Pull Request resolved: https://github.com/pytorch/vision/pull/3361

Convert pytorch_gpu to use GPU/RE

Reviewed By: datumbox

Differential Revision: D26264102

fbshipit-source-id: b45179215ecb1142f6468386c4fee1759dd82f0c

(cherry picked from commit 2f40a483d73018ae6e1488a484c5927f2b309969)
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* Speedup test_ucf101 (#2623 

* Speedup Cmake builds (#3186)

* Speedup test_autoaugment (#3190)

* Speedup DeformConvTester (#3191)

* Speedup InceptionV3 and GoogleNet on Windows (#3196)

* Fixing upperbound value on tests and documentation.

* Limit the number of channels on adjust_* transoforms.

* initital prototype

* flake

* Adds documentation

* minimal working bboxes

* Adds label display

* adds colors :-)

* adds suggestions and fixes CI

* handles image of dim 4

* fixes image handling

* removes dev file

* adds suggested changes

* Updating the API.

* Update test.

* Implementing code review improvements.

* Further refactoring and adding test.

* Replace random to white to reduce size and change font on tests.
Co-authored-by: Vasilis Vryniotis <vvryniotis@fb.com>

* Enable jit tests in all models and add warning if checkModule() tests are skipped.

* Turning on JIT tests on CI.

* Fixing broken unit-tests.

* Refactoring and cleaning up duplicate code.

- fixed problem with error computation between results
- refactored tensor cast for resize
- fixed round usage

* Simplify the ACCEPT=True logic in assertExpected().

* Separate the expected filename estimation from assertExpected

* Unflatten expected values.

* Assert for duplicate scores if primary check fails.

* Remove custom exceptions for algorithms and add a compact function for shrinking large ouputs.

* Removing unused variables.

* Add warning and comments.

* Re-enable all autocast unit-test for detection and marking the tests as skipped in partial validation.

* Move test skip at the end.

* Changing the warning message.

* Simplify the ACCEPT=True logic in assertExpected().

* Separate the expected filename estimation from assertExpected