GitLab

* add CUDA11.7 builds

* add CUDA 11.7 builds

* run regenerate.py

* try to add filters to binary_win_conda_py3.10_cu117

* rerun regenerate.py

* Removing conda-forge adding cu117 to windows unit tests

* Debug code

* Remove debug code
Co-authored-by: atalman <atalman@fb.com>

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

Co-authored-by: Nikita Shulga <nshulga@fb.com>

* Add CUDA-11.5 builds to torchvision

* Try to fix cudatoolkit issue

* Trying to use cuda11.5 instead of the toolkit

* Trying to rollback last two changes

* Testing

* Using conda-forge only for cuda115 builds

* Fix typo

Co-authored-by: Nikita Shulga <nshulga@fb.com>

* fix cuda installation failure in packaging

* rm stop windows upgrade

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

GPU tests have special step to install the driver, CUDA install step shouldl just install the runtime
never

Fixes regression introduced by https://github.com/pytorch/vision/pull/4421

Co-authored-by: Jane (Yuan) Xu <31798555+janeyx99@users.noreply.github.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>

* add cuda envs

* packaging doesn't need cuda env now

* fix cmake_windows_gpu

* minor fix

* rename suffix

* minor change

* update vs integration

* if there's dll, overwrite it

* temp change

* revert last
Co-authored-by: Nikita Shulga <nshulga@fb.com>

* Add CUDA-11.3 builds to torchvision

Also mark  `.cicrleci/config.yml` as autogenerated in `.gitattributes`

* Add CUDA-11.3 install steps for Windows

* And here as well

* remove some files

* Also remove entire packaging/conda folder
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)

* Run C++ torchvision example as part of cmake tests

* Enable C++14 support

* Minor error correction

* Add GPU forward on example

* Use arrow operator

* Add CMake build pipeline

* Add CMake build workflow

* Add executable permissions to script

* Install cmake on Windows/MacOS

* Install conda-build before setting up MSVC

* Install PyTorch from nightly

* Do not use conda-build variables

* Add path to CMake

* Install libpng and libjpeg

* Perform make

* Call msbuild on Windows

* Add missing yq

* Use vc_env_helper

* Use string instruction

* Escape configuration option

* Remove configuration flag

* Try to pass -p

* Use caret to escape equal sign

* Escape string option in Windows

* Try to call other bat

* Remove Windows/GPU CMake

* Add tracing cpp test

* Script model instead of tracing it

* Try to register operators manually

* Use manylinux-cuda102

* Activate conda env on Linux

* Build and run sample tracing test

* Add empty echo

* Remove unnecessary register

* Copy headers on Mac

* Revert to 2xlarge

* Include /usr/local/include on Mac

* Install pillow on Windows

* Install future

* Install torchvision on Windows

* Set include flag

* Add torchlib to PATH

* Normalize path via cygpath

* Register ops on Windows

* Minor error correction

* Register CPU/GPU ops on DLL library and register ops via reference

* Install dataclasses

* Install dataclasses using pip

* Address clang formatting issue

* Try to use an actual GPU instance on Linux

* Remove extra environment section

* Declare environment explicitly

* Regenerate

* Pass env variables to Dokcer

* Regenerate circleci

* Test tracing on GPU

* Use GPU medium

* Regenerate

* Use cuda101

* Regenerate

* Do not use pre-trained weights

Avoids having to download pretrained files, which could cause flaky tests
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* Try building Windows nightlies on CircleCI

* Update config.yml

* Merge jobs

* Use cmd

* Debug

* Fix PATH

* Enable build matrix

* Try integrate with regenerate.py

* Fix upload path for Windows wheels

* Bring fewer tests to CI

* Run other tests only on master

* Refactor code

* Use nightly branch

* Fix lint

Signed-off-by: peter <peterghost86@gmail.com>

* Update Windows CI for nightly builds

* Add CUDA 10.2 jobs

* Update vs install scripts

* Add switch case for cuda 10.2

* more changes for cuda 10.2

* Revert upload jobs