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grpc.framework.interfaces.face.face.ExpirationError: ExpirationError(code=StatusCode.DEADLINE_EXCEEDED, details="Deadline Exceeded") #40

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LongQi opened this issue Mar 15, 2018 · 2 comments

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@LongQi
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LongQi commented Mar 15, 2018

When I run "./predict_client.py ... ..." or "cloudml models predict ... ..."
It appear error: grpc.framework.interfaces.face.face.ExpirationError: ExpirationError(code=StatusCode.DEADLINE_EXCEEDED, details="Deadline Exceeded")

@tobegit3hub
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It seems the server is not available. Please make sure the server is running at the expected port.

@machine4life
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machine4life commented Jun 9, 2018

in my case , I solved it by set stub.predict(request,10) to stub.predict(request,1000)

i have the same problem, and the server received the request and print
2018-06-09 16:24:39.758947: I tensorflow_serving/model_servers/main.cc:316] Running ModelServer at 0.0.0.0:9000 ...
<<<<< in MergerInputs Func >>>>>>>>
batch size is ================= 1

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