GitLab

* enable windows cudatests

* add this dir

* minor change

* vs integration

* Update cuda_install.bat

* add logs

* minor change

* minor change

* cp vision conda activate

* mv vc_env_helper.bat

* minor change

* exit if cuda not avaiable

* install numpy

* improt CMakeLists

* check cuda

* minor change

* change windows GPU image from previous to stable

* set libtorch audio suffix as pyd on Windows

* reduce changes

* check env settings

CCI says circleci/python:3.8 is deprecaetd. Migrating to cimg/python:3.8.

> CircleCI’s latest pre-built container images were designed from the ground up to help your team build more reliably.
> Our new images were built specifically for continuous integration projects and they are our most deterministic, performant, and efficient images yet.

> As of Dec 31, 2021, legacy images will no longer be supported on CircleCI.

Related links

- https://circleci.com/blog/announcing-our-next-generation-convenience-images-smaller-faster-more-deterministic
- https://discuss.circleci.com/t/legacy-convenience-image-deprecation/41034
- https://circleci.com/docs/2.0/next-gen-migration-guide

Cherry-pick of
https://github.com/pytorch/vision/commit/d2460a75de237cfef8e5c3415f7bb0ad8467c0e5
into this repo

Fixes https://github.com/pytorch/audio/issues/1750

Downloading CUDA-11.1 from conda-forge takes a while

* Remove some obsolete conditions about CUDA-10.0 from `pkg_helpers.bash`.
* Use `USE_CUDA` instead of `FORCE_CUDA` in `pkg_helpers.bash`
* Do not define `NO_CUDA_PACKAGE` in build_wheel.sh and build_cuda.sh
* Add conda-forge for Win cuda-11.1 builds
* Pass USE_CUDA / TORCH_CUDA_ARCH_LIST to conda build
* Add selected CUDA to path
* Don't define USE_CUDA for ROCM

TODO: Fix Windows CUDA builds

Copy `cuda_install.bat` from
https://github.com/pytorch/vision/blob/3d9d264198e2167030dc04bf453aeca47daa37db/packaging/windows/internal/cuda_install.bat

Add `windows_intall_cuda` step and include it in `binary_windows_conda`
and `binary_windows_wheel` workflows

No longer needed for Python 3.9
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* add rocm binary

use the term cu_version

update pkg_helpers

add docker wheel option

update config yml

add force_cuda option

* update config.yml

* remove conda builds

* Add CUDA binary builds

* Add "cuda_version": "cpu" to doc build jobs

* Add required cu_versions to pkg_helpers

* Regenerate config.yml

All macOS CI jobs were failing at `brew`.
The issue was the macOS version `10.13`, which is no longer supported by `brew`.
The macOS version is indirectly controlled by `xcode` version as listed [here](https://circleci.com/docs/2.0/testing-ios/#supported-xcode-versions).

Updating the `xcode` to `"12.0"` as in PyTorch core bump macOS version to `10.15` and it resolves the issue.
`Python 3.9` is still failing but it's packaging issue on upstream, which needs to be resolved separately.

Should be moved back to stable once
https://github.com/pytorch/pytorch/issues/56654 is closed

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

* Switch to cmake for build
* Hide symbols

* Do not install sox system-wide, so that it will never get mixed up with static one torchaudio builds
* Do not install cmake system-wide
* Move libsndfile installation to Docker image

Changing the test Docker image for GPU tests to use Nvidia Docker `devel` image. This is necessary for #1187. 

TorchScript BC test checks that if dumped object from the previous version is compatible with the latest master. However, PyTorch does not guarantee backward compatibility of serialized TorchScript object across versions. Domain libraries do not guarantee this either.

* Support file-like object in save func

* Disable CircleCI cache for TP artifacts for cleaner build

There's an issue with the CUDA 11.0 package for conda with
conda-package-handling that relates to https://github.com/conda/conda-package-handling/issues/71



This should fix issues with the conda smoke testing we encountered previously.
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

* Import torchaudio #996 758f6c2a

Reviewed By: cpuhrsch

Differential Revision: D24606263

fbshipit-source-id: 4301b1df84d20c671783ec34c52d5b257374abf1

* Import torchaudio #1004 5e54c770

Summary: Import torchaudio up to #1004 5e54c770

Reviewed By: vincentqb, cpuhrsch

Differential Revision: D24841498

fbshipit-source-id: 3829130636f36779d84f01ff0d0120b80b2396d7