GitLab

This reverts commit c1a99b7b.

* Add libpng requirement into conda recipe

* Try to install libjpeg-turbo

* Add PNG reading capabilities

* Remove newline

* Add image extension to compilation instructions

* Include png functions as part of the main library

* Update CMakeLists

* Detect if building on conda-build

* Debug

* More debug messages

* Print globbed libreries

* Print globbed libreries

* Point to correct PNG path

* Remove libJPEG preventively

* Debug extension loading

* Link libpng explicitly

* Link with PNG

* Add PNG reading capabilities

* Add libpng requirement into conda recipe

* Try to install libjpeg-turbo

* Remove newline

* Add image extension to compilation instructions

* Include png functions as part of the main library

* Update CMakeLists

* Detect if building on conda-build

* Debug

* More debug messages

* Print globbed libreries

* Print globbed libreries

* Point to correct PNG path

* Remove libJPEG preventively

* Debug extension loading

* Link libpng explicitly

* Link with PNG

* Install libpng on conda-based wheel distributions

* Add -y flag

* Add -y flag to yum

* Locate LibPNG on windows conda

* Remove empty else

* Copy libpng16.so

* Copy dylib on Mac

* Improve check on Windows

* Try to install ninja using conda on windows

* Use libpng on Windows

* Package lib on windows wheel

* Point library to the correct place

* Include binaries as part of wheel

* Copy libpng.so on linux

* Look for png.h on Windows when using conda-build

* Do not skip png tests on Mac/Win

* Restore libjpeg-turbo

* Install jpeg-turbo on wheel distributions

* Install libjpeg-turbo from conda-forge on wheel distributions

* Do not pull av on conda-build

* Add pillow disclaimer

* Vendors libjpeg-turbo 2.0.4

* Merge JPEG work

* Remove submodules

* Regenerate circle config

* Fix style issues

* Fix C++ style issues

* More style corrections

* Add JPEG-turbo to linking libraries

* More style corrections

* More style corrections

* More style corrections

* Install libjpeg-turbo-devel

* Install libturbo-jpeg on typing pipeline

* Update Circle template

* Windows and Unix turbojpeg have the same linking name

* Install turbojpeg-devel instead of libjpeg-turbo

* Copy TurboJPEG binaries to wheel

* Move test image

* Move back test image

* Update JPEG test path

* Remove dot from extension

* Move image functions to extension

* Use stdout arg in subprocess

* Disable image extension if libpng or turbojpeg are not found

* Append libpng stdout

* Prevent list appending on lists

* Minor path correction

* Minor error correction

* Add linking flags

* Style issues correction

* Address minor review corrections

* Refactor library search

* Restore access index

* Fix JPEG tests

* Update libpng version in Travis

* Add -y flag

* Remove dot

* Update libpng using apt

* Check libpng version

* Change libturbojpeg binary

* Update import

* Change call

* Restore av in conda recipe

* Minor error correction

* Remove unused comment in travis.yml

* Update README

* Fix missing links

* Remove fixes for 16.04

* Remove JPEG-related code

* Remove installation references to turbojpeg

* Remove further references to turbojpeg

* Fix c++ style issues

* Fix c++ style issues

* Fix libpng-config include flag parsing

* Remove conda-forge

* Remove include dirs from main extension

* Do not pass extra include and library paths to main torchvision extension

* Add libpng to environment.yml

* Remove inexistent imports

* Add instructions regarding environment variables to README
Co-authored-by: Ryad ZENINE <r.zenine@gmail.com>

This reverts commit 766721b1.

* Add libpng requirement into conda recipe

* Try to install libjpeg-turbo

* Add PNG reading capabilities

* Remove newline

* Add image extension to compilation instructions

* Include png functions as part of the main library

* Update CMakeLists

* Detect if building on conda-build

* Debug

* More debug messages

* Print globbed libreries

* Print globbed libreries

* Point to correct PNG path

* Remove libJPEG preventively

* Debug extension loading

* Link libpng explicitly

* Link with PNG

* Add PNG reading capabilities

* Add libpng requirement into conda recipe

* Try to install libjpeg-turbo

* Remove newline

* Add image extension to compilation instructions

* Include png functions as part of the main library

* Update CMakeLists

* Detect if building on conda-build

* Debug

* More debug messages

* Print globbed libreries

* Print globbed libreries

* Point to correct PNG path

* Remove libJPEG preventively

* Debug extension loading

* Link libpng explicitly

* Link with PNG

* Install libpng on conda-based wheel distributions

* Add -y flag

* Add -y flag to yum

* Locate LibPNG on windows conda

* Remove empty else

* Copy libpng16.so

* Copy dylib on Mac

* Improve check on Windows

* Try to install ninja using conda on windows

* Use libpng on Windows

* Package lib on windows wheel

* Point library to the correct place

* Include binaries as part of wheel

* Copy libpng.so on linux

* Look for png.h on Windows when using conda-build

* Do not skip png tests on Mac/Win

* Restore libjpeg-turbo

* Install jpeg-turbo on wheel distributions

* Install libjpeg-turbo from conda-forge on wheel distributions

* Do not pull av on conda-build

* Add pillow disclaimer

* Vendors libjpeg-turbo 2.0.4

* Merge JPEG work

* Remove submodules

* Regenerate circle config

* Fix style issues

* Fix C++ style issues

* More style corrections

* Add JPEG-turbo to linking libraries

* More style corrections

* More style corrections

* More style corrections

* Install libjpeg-turbo-devel

* Install libturbo-jpeg on typing pipeline

* Update Circle template

* Windows and Unix turbojpeg have the same linking name

* Install turbojpeg-devel instead of libjpeg-turbo

* Copy TurboJPEG binaries to wheel

* Move test image

* Move back test image

* Update JPEG test path

* Remove dot from extension

* Move image functions to extension

* Use stdout arg in subprocess

* Disable image extension if libpng or turbojpeg are not found

* Append libpng stdout

* Prevent list appending on lists

* Minor path correction

* Minor error correction

* Add linking flags

* Style issues correction

* Address minor review corrections

* Refactor library search

* Restore access index

* Fix JPEG tests

* Update libpng version in Travis

* Add -y flag

* Remove dot

* Update libpng using apt

* Check libpng version

* Change libturbojpeg binary

* Update import

* Change call

* Restore av in conda recipe

* Minor error correction

* Remove unused comment in travis.yml

* Update README

* Fix missing links

* Remove fixes for 16.04
Co-authored-by: Ryad ZENINE <r.zenine@gmail.com>

* .circleci: Add workflows to run on tag
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* packaging: Add backslash to escape
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* Fix binary builds with CUDA 9.2 on Windows

* Remove packages according to VC_YEAR

* add mypy config

* fix syntax error

* fix annotations in torchvision/utils.py

* add mypy type check to CircleCI

* add mypy cache to ignore files

* try fix CI

* ignore flake8 F821 since it interferes with mypy

* add mypy type check to config generator

* explicitly set config files

These are a bit difficult to debug when you can't see the commands that
are running. So just output every command that's running to stdout using
`set -x`
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

* Add clang-format to CircleCI

* Fix for clang-format version

* Fix lint and remove Travis CI

* Seeing if lost commit comes back

* Fix lint

* Re-enable all tests

* Add CircleCI job for python lint

* Break lint

* Fix

* Fix lint

* Re-enable all tests and remove travis python lint

CUDA 10.2 is compatible with Nvidia drivers >= 440

We should also be testing against the latest version of python wherever
possible.
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* Re-enable one torchvision CUDA CI for tests

* Try with CUDA 9.2

* ci: Add cu102 to CI and packaging

Adds cu102 to our testing matrix as well as change the default manywheel
version to be cu102.

Also adds a function to get manylinux images instead of it being a
conditional block.
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* .circleci: Remove cu100, no longer built

We removed the build for cu100 in upstream pytorch as well since we have
begun to support cu102
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* Fix lint

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

pjh5 is a former employee so we should switch over to using a bot token.

Should resolve nightly pipeline failing on upload.
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* ci: Add verbosity to pytest results, store in ci

Makes the pytest runs for building conda packages more verbose and
stores the results for viewing inside of CircleCI
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* test: Skip inception v3 in test_quantized_models

Was causing timeouts on circleci due to long run time, re-enable when
tests can be brought to a reasonable time again.
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

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

Python 2.7 was EOL on January 1, 2020

The last torchvision release to support Python 2.7 was 0.5.0
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* Try enabling Windows CUDA CI

* Cleanups

* Attempt 1

* Attempt 2

* Re-enable other tests

* Try fix Windows CircleCI

* Try conda init first

* Use newer orb

* Switch to push-based nightlies.

See https://github.com/pytorch/pytorch/issues/26817

Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* disable merge
Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* fixup
Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Use PyTorch 1.3 for CI

* Try fixing TravisCI

* Revert rebase to master to old state

* Try pinning lastest anaconda that was working, there was a new package out yesterday that might have breaken up things

* Try removing conda update conda

* Fix nightly builds

* Fix lint

* Disable video_reader tests on Travis

* Disable one more test that segfaults on Travis

* Fix typo in expression

* Fix Windows CI

* Use correct version

* Set block style serialization in yaml

* Add new checkout command

* Put on a different branch name

use flake8 with Python 3 on .circleci directory

* [WIP] Add CircleCI for CI

* Make jobs only run on master

* Add initial CI

* [wip] testing if works

* Trying some basic GPU tests

* [WIP] maybe it will work?

* [WIP] One more try

* Pin versions

* Simplify and reuse

* Fix

* [WIP] testing windows

* [WIP] testing windows

* Try windows

* Try Windows

* Try windows

* Try windows

* Try windows

* Try windows

* Try windows

* Try windows

* Windows speedup

* Windows multicores

* Add parallel flags for Windows

* Skip some tests on Windows

* Sync config.yml and config.yml.in

* Regenerate

* Run all tests

* Limit python and cuda version for finding pytorch

* Skip darwin for previous check

* Add description

* Fix logic

* Remove space

* Add CUDA test back

* Add back .travis.yml for now and remove duplicate test

* Add newline

* Actually upload wheels (please port to master)
Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Propagate more environment variables.
Signed-off-by: Edward Z. Yang <ezyang@fb.com>

* Put macos binaries in the right place
Signed-off-by: Edward Z. Yang <ezyang@fb.com>

Add uploading support, make CUDA builds actually work.