GitLab

Summary:
- Moving the unit test scripts from .circleci to .github
- Remove docker file for unit test base
- Use the Conda from Docker image in Linux jobs.

Remaining follow-up items

- Reuse the unittest script in Linux GPU job like done in Linux CPU job.

The unit test script needs to be fixed to be used for Linux GPU job
in new GHA workflow. Keeping it as a separate follow-up work item.

Pull Request resolved: https://github.com/pytorch/audio/pull/3407

Differential Revision: D46498263

Pulled By: mthrok

fbshipit-source-id: d8256717a55bb4257151d819d3b2ebd453601eac

Summary:
Continuing with the job migrations from CCI to Nova, this PR introduces the Windows CPU Unittest job as a Nova workflow.

The job is passing: https://github.com/pytorch/audio/actions/runs/5094569687/jobs/9159020192?pr=3329.

Pull Request resolved: https://github.com/pytorch/audio/pull/3329

Reviewed By: huydhn

Differential Revision: D46265649

Pulled By: atalman

fbshipit-source-id: 7659dfbcc8ad400f2e109ff64530e1f768e82ef9

Summary:
Remove temp channel for python 3.11, simplify logic around cuda

Pull Request resolved: https://github.com/pytorch/audio/pull/3250

Reviewed By: mthrok

Differential Revision: D44788219

Pulled By: atalman

fbshipit-source-id: 421ff9e0bf1818b41e395708cc4589d4a9c865bd

* 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