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Implement Test for ModelRequestEncoder #2580
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Hi @abergmeier thanks for contributing this test! Could you please address the CI failure? |
Well the CI seems to have quite a bit of noise to signal ratio. So I am not really confident, that I will be able to solve CI failures without some guidance. |
@abergmeier Did you try building frontend https://github.com/pytorch/serve/tree/master/frontend There is a formatter here https://github.com/pytorch/serve/blob/master/frontend/build.gradle#L45 |
frontend on
Mabye I was not clear enough. I am no Java developer. |
@abergmeier you can format java code via command:
|
Codecov Report
@@ Coverage Diff @@
## master #2580 +/- ##
=======================================
Coverage 72.39% 72.39%
=======================================
Files 85 85
Lines 3956 3956
Branches 58 58
=======================================
Hits 2864 2864
Misses 1088 1088
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Can this PR land? |
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LGTM
Thanks @abergmeier a lot for contributing this test |
Description
Implemented
ModelRequestEncoderTest
. Currently tests Inference protocol only.Type of change
Increased Unittest coverage for inference.
Feature/Issue validation/testing
Checklist: