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Summary:
The unit test failures seems to be caused by [conda 4.11](https://github.com/conda/conda/issues/11096)
Remove conda update line fixes the issue.

Pull Request resolved: https://github.com/pytorch/audio/pull/2069

Reviewed By: carolineechen

Differential Revision: D33023851

Pulled By: nateanl

fbshipit-source-id: 73246189d4ccc541e366a5367f532a5b456af8f8

Numpy is a dependency of pytorch so we should let it get resolved as it
install pytorch
Signed-off-by: Eli Uriegas <eliuriegas@fb.com>

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

* 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>

* Add test image with Kaldi executable and third_parties

* Use Ubuntu as bese image since pytorch/many-linux is huge

* wip

* Add test

* add caching

* fixup! add caching

* fixup! fixup! add caching