GitLab

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

* 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>

* [ROCm] Upgrade to rocm5.1.1

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

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

Signed-off-by: Kyle Chen <kylechen@amd.com>
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

* Dsiabling smoke test for nightly builds

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

* Add Python-3.10 (build and test)

* Fix functional.adjust_gamma
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>
Co-authored-by: Joao Gomes <joaopsgomes@gmail.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

* Set cuversion to 113 for cmake builds

* Build CUDA-11 Windows cmake using C++17

* Cherry-pick pkg_helper changes from pytorch/audio back to vision
Co-authored-by: Vasilis Vryniotis <datumbox@users.noreply.github.com>

As of https://github.com/pytorch/pytorch/pull/65649 Windows CUDA-10.2
builds are no longer generated, so lets limit it to 11.3 only

* 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>

* 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

* add filter for binary_linux_wheel_py3.7_cpu
fixes issue #3997

* add tag,nightly filter to build_docs

* flake8 formatting

* fixes from review

* Change cuda versions.

* changing cu_version

* patching regenerate.py

* more changes.

* add rocm4.2 to nightly wheel builds

* remove rocm4.0.1 build
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>
Co-authored-by: Eli Uriegas <1700823+seemethere@users.noreply.github.com>

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

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

[ghstack-poisoned]
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

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

* [iOS] added workflows for libtorchvision_ops.a binary build

[ghstack-poisoned]

* Update on "[iOS] added workflows for libtorchvision_ops.a binary build"




[ghstack-poisoned]

* Update on "[iOS] added workflows for libtorchvision_ops.a binary build"




[ghstack-poisoned]

* Update on "[iOS] added workflows for libtorchvision_ops.a binary build"




[ghstack-poisoned]

* Update on "[iOS] added workflows for libtorchvision_ops.a binary build"




[ghstack-poisoned]

* Update on "[iOS] added workflows for libtorchvision_ops.a binary build"




[ghstack-poisoned]

* Update on "[iOS] added workflows for libtorchvision_ops.a binary build"




[ghstack-poisoned]
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* add ROCm binary wheels

* fix lint error
Co-authored-by: Eli Uriegas <1700823+seemethere@users.noreply.github.com>
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

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

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

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

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

* Fix cmake cuda build for Windows

* add gpu test jobs

* Update .circleci/regenerate.py
Co-authored-by: Francisco Massa <fvsmassa@gmail.com>

* Add macos unittest

* Add wget

* 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>