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cheyangandk8s-ci-robot
d4aff856e8
* [incubator/tensorflow-serving] generic tensorflow model server support fix according to review comments support when not having pvc, make the e2e testing pass helm create with 2.8.1 * fix app name * make port not configurable * add named port * move to stable * update named port in service * add named port to tcp check * fix reference to stable
43 lines
880 B
YAML
43 lines
880 B
YAML
# Default values for tensorflow-serving.
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# This is a YAML-formatted file.
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# Declare variables to be passed into your templates.
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## Kubernetes configuration
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## support NodePort, LoadBalancer
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##
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serviceType: LoadBalancer
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## expose the service to the grpc client
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port: 9090
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replicas: 1
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# repository: "cheyang/tf-model-server-gpu"
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image:
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repository: "cheyang/tf-model-server"
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tag: "1.4"
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pullPolicy: "IfNotPresent"
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resources: {}
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# limits:
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# cpu: 1.0
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# memory: 512Mi
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# nvidia.com/gpu: 1
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# requests:
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# cpu: 1.0
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# memory: 512Mi
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# nvidia.com/gpu: 1
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## The command and args to run the pod
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modelName: "inception"
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modelBasePath: "/serving/inception-export"
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## the mount path inside the container
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# mountPath: /serving/inception-export
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persistence:
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enabled: true
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storageClass: ""
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size: 10Gi
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accessMode: ReadWriteOnce
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# matchLabels: {}
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