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codecov-commenter commented Nov 2, 2021

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 50.76%. Comparing base (8b73019) to head (03bbd39).

Additional details and impacted files
@@           Coverage Diff           @@
##           master      #56   +/-   ##
=======================================
  Coverage   50.76%   50.76%           
=======================================
  Files           2        2           
  Lines         390      390           
=======================================
  Hits          198      198           
  Misses        192      192           

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@siddhu001
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@ftshijt Do you know how I can fix this issue?

@sw005320
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Are these models using s3prl?
If so, the test should include it in the installation stage.

It is a little bit difficult decision as we want to make espnet_model_zoo installation as light as possible.
But anyway, can you first try it?

@siddhu001
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siddhu001 commented Nov 17, 2021

They do use s3prl. Sure I will do that!

@sw005320
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Can you fix the conflict?

@siddhu001
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Sure! I will work on it now!

@siddhu001
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I think the earlier error due to ASR streaming model has been fixed now with the help of previously merged pull request - #57.

I have fixed the import ordering. I think after this pull request is merged - espnet/espnet#3928, the test should hopefully pass.

@siddhu001
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The issue seems to be connected to facebookresearch/fairseq#1400. There seems to be some issue with pytorch hub cache. I will try using workaround mentioned in this issue.

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3 participants