GitLab

Summary: Pull Request resolved: https://github.com/pytorch/audio/pull/3476

Differential Revision: D47494211

Pulled By: mthrok

fbshipit-source-id: 230bbf0a271b070d1dea34146d0d466e666cccdc

Summary:
Reintroduce a conda environment within which we will do all deps installation, audio builds, and tests runs. This conda environment will use the python version set by the GHA job - previously this just defaulted to using the system 3.10 python which was default inside the container.

Pull Request resolved: https://github.com/pytorch/audio/pull/3477

Reviewed By: mthrok

Differential Revision: D47414572

Pulled By: osalpekar

fbshipit-source-id: 80760f82c7726205b29812d576e498db2a7a80a0

Summary:
The new version of transformers changed the format of pre-trained weight. Fixing it is low-priority for the maintanance team so we disable the test.

See https://github.com/pytorch/audio/issues/3430

Pull Request resolved: https://github.com/pytorch/audio/pull/3431

Differential Revision: D46592883

Pulled By: mthrok

fbshipit-source-id: d8f54a281a92cac60c469c48f95345bcf0e959d6

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