- 08 Jun, 2023 1 commit
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moto authored
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
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- 04 May, 2020 1 commit
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peterjc123 authored
* Turn on tests when building through conda-build * skip one failling test on windows. * Switch to unittest * Fix conda env activation * add linux only condition * Fix librosa installation * conda-forge channel as a fallback * Revert "conda-forge channel as a fallback" This reverts commit 8c15f6638e34792640a3de3e057d9c2995425180. * Try the pytorch way * Use conda-forge * Disable conda-forge * Install future at setup env * Move linux unittest CI job tools to dedicated directory * Restore Linux scripts and move the updated souces to a new subdir * Add back future * Remove comments Co-authored-by:
Vincent Quenneville-Belair <vincentqb@gmail.com> Co-authored-by:
moto <855818+mthrok@users.noreply.github.com>
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