inception server not working #621
Description
i follow the step of Serve a model using TensorFlow Serving in user_guide
kubectl get svc -n kubeflow inception
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
inception ClusterIP 10.97.23.123 <none> 9000/TCP,8000/TCP 13m
kubectl get po -n kubeflow
NAME READY STATUS RESTARTS AGE
ambassador-849fb9c8c5-288fp 2/2 Running 0 3d
ambassador-849fb9c8c5-6ltq5 2/2 Running 0 3d
ambassador-849fb9c8c5-hzc4k 2/2 Running 0 3d
inception-7bc4df4546-6b4gj 1/1 Running 0 14m
jupyter-ciscoai 1/1 Running 0 3d
it seems running!
also i did kubectl describe pod/inception-7bc4df4546-6b4gj -n kubeflow, and it shows:
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal Scheduled 55s default-scheduler Successfully assigned inception-7bc4df4546-6b4gj to ciscoai
Normal SuccessfulMountVolume 55s kubelet, ciscoai MountVolume.SetUp succeeded for volume "default-token-qwmpv"
Normal Pulled 55s kubelet, ciscoai Container image "gcr.io/kubeflow-images-staging/tf-model-server-cpu:v20180327-995786ec" already present on machine
Normal Created 55s kubelet, ciscoai Created container
Normal Started 54s kubelet, ciscoai Started container
then i use kubectl get pod/inception-7bc4df4546-6b4gj -n kubeflow -o yaml to get portIP is 192.168.175.202(it succeed for jupyter), so i think 192.168.175.202:9000 is correct.
then i deployed inception-client, after that: python label.py -s 192.168.175.202 -p 9000 images/sleeping-pepper.jpg, but the result is not nice
Traceback (most recent call last):
File "label.py", line 82, in <module>
main(args.images, args.server, args.port)
File "label.py", line 56, in main
result = stub.Predict(request, 10.0) # 10 secs timeout
File "/home/ciscoai/kubeflow/components/k8s-model-server/inception-client/client/local/lib/python2.7/site-packages/grpc/beta/_client_adaptations.py", line 310, in __call__
self._request_serializer, self._response_deserializer)
File "/home/ciscoai/kubeflow/components/k8s-model-server/inception-client/client/local/lib/python2.7/site-packages/grpc/beta/_client_adaptations.py", line 196, in _blocking_unary_unary
raise _abortion_error(rpc_error_call)
grpc.framework.interfaces.face.face.AbortionError: AbortionError(code=StatusCode.UNAVAILABLE, details="Connect Failed")
anyone can help me?
--
ks version
ksonnet version: 0.9.2
jsonnet version: v0.9.5
client-go version: 1.8
--
kubectl version
Client Version: version.Info{Major:"1", Minor:"10", GitVersion:"v1.10.0", GitCommit:"fc32d2f3698e36b93322a3465f63a14e9f0eaead", GitTreeState:"clean", BuildDate:"2018-03-26T16:55:54Z", GoVersion:"go1.9.3", Compiler:"gc", Platform:"linux/amd64"}
Server Version: version.Info{Major:"1", Minor:"10", GitVersion:"v1.10.0", GitCommit:"fc32d2f3698e36b93322a3465f63a14e9f0eaead", GitTreeState:"clean", BuildDate:"2018-03-26T16:44:10Z", GoVersion:"go1.9.3", Compiler:"gc", Platform:"linux/amd64"}