SeldonDeployment 的pod没有ready

[gongyu143]

[root@xxxx ormb]# kubectl get all
NAME READY STATUS RESTARTS AGE
pod/tfserving-default-0-mnist-model-6cdfd5d-6vncx 0/2 Running 0 108m

NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/kubernetes ClusterIP 10.96.0.1 443/TCP 3d21h
service/tfserving-default ClusterIP 10.102.59.194 8000/TCP,5001/TCP 109m
service/tfserving-default-mnist-model ClusterIP 10.109.93.101 9000/TCP 109m

NAME READY UP-TO-DATE AVAILABLE AGE
deployment.apps/tfserving-default-0-mnist-model 0/1 1 0 108m

NAME DESIRED CURRENT READY AGE
replicaset.apps/tfserving-default-0-mnist-model-6cdfd5d 1 1 0 108m

kubectl describe pod/tfserving-default-0-mnist-model-6cdfd5d-6vncx

Events:
Type Reason Age From Message

---

Warning Unhealthy 40s (x1699 over 4h18m) kubelet Liveness probe errored: strconv.Atoi: parsing "http": invalid syntax

kubectl logs -f tfserving-default-0-mnist-model-6cdfd5d-6vncx mnist-model

2021-09-30 06:10:13.660649: W tensorflow_serving/sources/storage_path/file_system_storage_path_source.cc:268] No versions of servable mnist-model found under base path /mnt/models. Did you forget to name your leaf directory as a number (eg. '/1/')?
2021-09-30 06:10:14.660861: W tensorflow_serving/sources/storage_path/file_system_storage_path_source.cc:268] No versions of servable mnist-model found under base path /mnt/models. Did you forget to name your leaf directory as a number (eg. '/1/')?
2021-09-30 06:10:15.662074: W tensorflow_serving/sources/storage_path/file_system_storage_path_source.cc:268] No versions of servable mnist-model found under base path /mnt/models. Did you forget to name your leaf directory as a number (eg. '/1/')?
2021-09-30 06:10:16.662489: W tensorflow_serving/sources/storage_path/file_system_storage_path_source.cc:268] No versions of servable mnist-model found under base path /mnt/models. Did you forget to name your leaf directory as a number (eg. '/1/')?

kubectl logs -f tfserving-default-0-mnist-model-6cdfd5d-6vncx mnist-model-model-initializer

Using / as the root path
Logging to the remote registry demo.goharbor.io
Username: ormbtest
Login insecurely
time="2021-09-30T01:55:43Z" level=debug msg="attempting v2 login to registry endpoint https://demo.goharbor.io/v2/"
Login succeeded
Using / as the root path
v1: Pulling from demo.goharbor.io/tensorflow/fashion_model
ref: demo.goharbor.io/tensorflow/fashion_model:v1
digest: 62c7d273602a9dc6833a1401e0186f50708e1e03b717edc4b0b39781b53c367a
size: 162.1 KiB
format: SavedModel
Status: Downloaded newer model for demo.goharbor.io/tensorflow/fashion_model:v1
ref: demo.goharbor.io/tensorflow/fashion_model:v1
digest: 62c7d273602a9dc6833a1401e0186f50708e1e03b717edc4b0b39781b53c367a
size: 162.1 KiB
format: SavedModel
Moving /mnt/models/model/saved_model.pb to /mnt/models/saved_model.pb
Moving /mnt/models/model/variables to /mnt/models/variables

有没有大神知道怎么解决

[gaocegege]

Maybe you can attach to the container and find if there is a model downloaded.