GitLab

* remove explicit install of Pillow throughout CI

* explicitly install zlib in windows conda env

* check pillow on Windows

* move check into conda env

* fix

* more debug output

* more debug

* add debug also to linux

* retry w/ and w/o packaging third party library

* tag debug

* more debug

* pin setuptools < 61

* install setuptools from pip

* cleanup

* try remove one more
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

Not sure what changed in 61.2.0, but it causes build failures

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

* Remove unnecessary PYTORCH_TEST_WITH_SLOW env

* Completely remove skip

Also, remove reference to conda-forge, all CUDA toolchain should be
available from NVIDIA channel

Install h5py from pip on Windows and skip failing gaussian_blur tests if Win+CUDA11.3 is used

* remove coveragerc

* edit shell scripts

* drop tox

* Apply suggestions from code review

* Update setup.cfg
Co-authored-by: Philip Meier <github.pmeier@posteo.de>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Add support for PCAM dataset

* mypy

* Apply suggestions from code review
Co-authored-by: Philip Meier <github.pmeier@posteo.de>

* Remove classes and class_to_idx attributes

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

This reverts commit 743fe1ab.

* (temporary) add pyyaml to unittest requirements

* add actionable comments

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

* improve download nightly pytorch

* update unitest cuda to 11.3

* add nvjpeg in cuda 11.3

* avoid catching exception

* restore to cu111

* Update install.sh

* use conda MatchSpec string

* update linux

* for linux

* Update install.sh
Co-authored-by: Nikita Shulga <nshulga@fb.com>

* add CI job for prototype tests

* register prototype job

* fix torchvision installation

* fix test invocation

* ignore prototype tests in normal unittests
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* add torchdata as prototype dependency

* ignore torchdata for mypy

* move git dependency out of conda environment file

* try unsetting PYTORCH_VERSION env var

* cleanup

* move installation of torchdata after installtion of PyTorch

* regenerate circlci config

* remove branch from torchdata download link
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* enable cuda for unittest

* add one check

* rename

* minor fix

* add more check

* add cuda envs

* add more cuda envs

* add driver update

* update vs integration

* get cuda version

* merge

* add envs in install.sh

* reduce some change and add comments

* minor improve

* fix typo

* exit if driver update failed

* fix lint

* fix lint

* Avoid catching exception to show error message

* try 11.1

* try 11.1

* "try 11.1"

* set the downloaded gpu driver dlls only for 10.2

* check torch.cuda.is_available()

* add display.driver

* Revert "Avoid catching exception to show error message"

This reverts commit 1ce58c50de9fefcc3438d29ff398b941f9b6a757.

* Update .circleci/unittest/windows/scripts/set_cuda_envs.sh

* Update .circleci/unittest/windows/scripts/set_cuda_envs.sh

* Update .circleci/unittest/windows/scripts/set_cuda_envs.sh
Co-authored-by: Nicolas Hug <nicolashug@fb.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Nikita Shulga <nikita.shulga@gmail.com>
Co-authored-by: Nikita Shulga <nshulga@fb.com>

* update cuda ver in win cuda unittest

* add -c condaforge to download torch+cu111

* update comments
Co-authored-by: Prabhat Roy <prabhatroy@fb.com>

* add cuda envs

* packaging doesn't need cuda env now

* fix cmake_windows_gpu

* minor fix

* rename suffix

* minor change

* update vs integration

* add pre-commit hooks

* ignore yamls in packaging/*

* add pre-commit to contributing guide lines

* Update CONTRIBUTING.md
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* remove some hooks

* fix docstrings

* fix end of files
Co-authored-by: Nicolas Hug <contact@nicolas-hug.com>

* Unpinned the libjpeg version and fixed jpeg_mem_dest's size type Windows BC issue

* Temporarily get back pinned jpeg lib in order to run tests on CircleCI

* Revert "Temporarily get back pinned jpeg lib in order to run tests on CircleCI"

This reverts commit ab18a354150f750256b61911e54aa48621ef24cd.

* Used using instead of typedef and Fixed comment typo
Co-authored-by: Zhongkai Zhu <zhongkai@fb.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Fix inconsistent version pinning across yaml files.

* Pin pillow to >=5.3.0

* Pin pillow>=5.3.0 everywhere

* 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>

* bump to 5.3.0

* Also make 3.6 CI runs rely on 5.3.0

This reverts commit 4fcaee0f.

* enable parallel tests

* disable parallelism for GPU tests

* [test] limit maximum processes on linux

* [debug] limit max processes even further

* [test] use subprocesses over threads

* [test] limit intra-op threads

* only limit intra op threads for CPU tests

* [poc] use low timeout for showcasing

* [poc] fix syntax

* set timeout to 5 minutes

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

(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)

Replace tabs with spaces, add newlines to files and replace whitelist with allowlist

* 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.

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

* Add PyTorch FFmpeg to wheel and conda distributions

* Try to install wget from conda

* Add yq flag on Mac

* Correct copy instructions

* Use cURL on Windows

* Call bzip2 directly due to msys2/MSYS2-packages#1548

* Copy ffmpeg binaries to system-wide directories

* Try to use std:c++17 on Windows

* Try to define ssize_t on Windows

* Use C++14

* Declare AVRational structs explicitly

* Initialize AVRational explicitly

* Replace macro to prevent errors on Windows

* Replace AV_TIME_BASE_Q

* Add library paths for video extension

* Force ffmpeg from pytorch channels?

* Fix clang style warnings

* Update CONDA_CHANNEL_FLAGS

* Fix clang style issues

* Update unittest

* Use FFmpeg 4.2

* Install correct version on Mac

* Pin av version to 8.0.0

* Fix string formatting issue

* Fix pip pinning

* Try with 8.0.1

* Use av 8.0.2

* Remove trailling whitespaces

* Disable test_io_opt.py

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

* split off tests for dataset downloadability

* ignore download tests during normal test suite

* lint

* add retry mechanic