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[WIP] Add tensorflow inception model to incubator (#165)
* initial commit * update chart home * add resource limits and readinessProbe
This commit is contained in:
Lachlan Evenson
committed by
Vic Iglesias
Vic Iglesias
parent
00e7aea7f0
commit
345b47c868
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# Patterns to ignore when building packages.
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# This supports shell glob matching, relative path matching, and
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# negation (prefixed with !). Only one pattern per line.
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.DS_Store
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# Common VCS dirs
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.git/
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.gitignore
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.bzr/
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.bzrignore
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.hg/
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.hgignore
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.svn/
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# Common backup files
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*.swp
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*.bak
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*.tmp
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*~
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# Various IDEs
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.project
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.idea/
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*.tmproj
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Executable
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name: tensorflow-inception
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home: https://github.com/kubernetes/charts
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version: 0.1.0
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description: A Helm chart for Kubernetes
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sources:
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- https://github.com/tensorflow/
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- https://tensorflow.github.io/serving/serving_inception.html
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maintainers:
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- name: Lachlan Evenson
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email: lachlan.evenson@gmail.com
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# Tensorflow Inception Model Chart
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TensorFlow is an open source software library for numerical computation using data flow graphs.
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* https://www.tensorflow.org/
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My hope was to make TensorFlow more accessible by simplifying the following document -- https://tensorflow.github.io/serving/serving_inception.html
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## Chart Details
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This chart will do the following:
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* 1 x TensorFlow inception model server on an external LoadBalancer
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## Installing the Chart
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To install the chart with the release name `my-release`:
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```bash
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$ helm repo add incubator http://storage.googleapis.com/kubernetes-charts-incubator
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$ helm install --name my-release incubator/tensorflow-inception
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```
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## Configuration
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The following tables lists the configurable parameters of the TensorFlow inception chart and their default values.
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| Parameter | Description | Default |
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| ----------------------- | ---------------------------------- | ---------------------------------------------------------- |
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| `Image` | Container image name | `quay.io/lachie83/inception_serving` |
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| `ImageTag` | Container image tag | `latest` |
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| `Replicas` | k8s deployment replicas | `1` |
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| `Component` | k8s selector key | `tensorflow-inception` |
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| `Cpu` | container requested cpu | `100m` |
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| `Memory` | container requested memory | `512Mi` |
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| `ServicePort` | k8s service port | `9090` |
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| `ContainerPort` | Container listening port | `9090` |
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Specify each parameter using the `--set key=value[,key=value]` argument to `helm install`.
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Alternatively, a YAML file that specifies the values for the parameters can be provided while installing the chart. For example,
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```bash
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$ helm install --name my-release -f values.yaml incubator/tensorflow-inception
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```
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> **Tip**: You can use the default [values.yaml](values.yaml)
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## Example
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```bash
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docker run -v ~/Downloads:/downloads quay.io/lachie83/inception_serving /serving/bazel-bin/tensorflow_serving/example/inception_client --server=$INCEPTION_SERVICE_IP:9090 --image=/downloads/dog.jpg
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D1028 17:07:30.650550118 7 ev_posix.c:101] Using polling engine: poll
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outputs {
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key: "classes"
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value {
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dtype: DT_STRING
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tensor_shape {
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dim {
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size: 1
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}
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dim {
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size: 5
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}
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}
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string_val: "golden retriever"
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string_val: "cocker spaniel, English cocker spaniel, cocker"
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string_val: "clumber, clumber spaniel"
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string_val: "tennis ball"
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string_val: "Labrador retriever"
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}
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}
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outputs {
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key: "scores"
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value {
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dtype: DT_FLOAT
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tensor_shape {
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dim {
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size: 1
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}
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dim {
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size: 5
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}
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}
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float_val: 9.7533788681
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float_val: 6.67022132874
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float_val: 6.18963956833
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float_val: 5.90754127502
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float_val: 5.4464302063
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}
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}
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E1028 17:07:33.565394639 7 chttp2_transport.c:1810] close_transport: {"created":"@1477674453.565348591","description":"FD shutdown","file":"src/core/lib/iomgr/ev_poll_posix.c","file_line":427}
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```
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Getting Started:
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1. Use the inception-client in a container to submit an image from a mounted volume on your system to the service by running these commands in the same shell:
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**** NOTE: It may take a few minutes for the LoadBalancer IP to be available. ****
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**** You can watch the status of by running 'kubectl get svc --namespace {{ .Release.Namespace }} -w {{ template "fullname" . }}' ****
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export INCEPTION_SERVICE_IP=$(kubectl get svc --namespace {{ .Release.Namespace }} {{ template "fullname" . }} -o jsonpath='{.status.loadBalancer.ingress[0].ip}')
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echo docker run -v ~/Downloads:/downloads quay.io/lachie83/inception_serving /serving/bazel-bin/tensorflow_serving/example/inception_client --server=$INCEPTION_SERVICE_IP:9090 --image=/downloads/dog.jpg
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{{/* vim: set filetype=mustache: */}}
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{{/*
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Expand the name of the chart.
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*/}}
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{{- define "name" -}}
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{{- default .Chart.Name .Values.nameOverride | trunc 24 -}}
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{{- end -}}
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{{/*
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Create a fully qualified name.
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We truncate at 24 chars because some Kubernetes name fields are limited to this (by the DNS naming spec).
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*/}}
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{{- define "fullname" -}}
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{{- $name := default .Chart.Name .Values.nameOverride -}}
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{{- printf "%s-%s" .Release.Name $name | trunc 24 -}}
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{{- end -}}
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apiVersion: v1
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kind: Service
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metadata:
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name: {{ template "fullname" . }}
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labels:
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heritage: {{.Release.Service | quote }}
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release: {{.Release.Name | quote }}
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chart: "{{.Chart.Name}}-{{.Chart.Version}}"
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component: "{{.Release.Name}}-{{.Values.Component}}"
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annotations:
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"helm.sh/created": {{.Release.Time.Seconds | quote }}
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spec:
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ports:
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- port: {{.Values.ServicePort}}
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targetPort: {{.Values.ContainerPort}}
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selector:
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component: "{{.Release.Name}}-{{.Values.Component}}"
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type: {{.Values.ServiceType}}
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---
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apiVersion: extensions/v1beta1
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kind: Deployment
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metadata:
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name: {{ template "fullname" . }}
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labels:
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heritage: {{.Release.Service | quote }}
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release: {{.Release.Name | quote }}
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chart: "{{.Chart.Name}}-{{.Chart.Version}}"
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component: "{{.Release.Name}}-{{.Values.Component}}"
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annotations:
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"helm.sh/created": {{.Release.Time.Seconds | quote }}
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spec:
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replicas: {{ default 1 .Values.Replicas }}
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strategy:
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type: RollingUpdate
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selector:
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matchLabels:
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component: "{{.Release.Name}}-{{.Values.Component}}"
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template:
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metadata:
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labels:
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heritage: {{.Release.Service | quote }}
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release: {{.Release.Name | quote }}
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chart: "{{.Chart.Name}}-{{.Chart.Version}}"
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component: "{{.Release.Name}}-{{.Values.Component}}"
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spec:
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containers:
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- name: {{ template "fullname" . }}
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image: "{{.Values.Image}}:{{.Values.ImageTag}}"
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imagePullPolicy: "{{.Values.ImagePullPolicy}}"
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command:
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- "/bin/sh"
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- "-c"
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args:
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- "/serving/bazel-bin/tensorflow_serving/model_servers/tensorflow_model_server --port={{.Values.ContainerPort}} --model_name=inception --model_base_path=/serving/inception-export"
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ports:
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- containerPort: {{.Values.ContainerPort}}
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readinessProbe:
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tcpSocket:
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port: {{.Values.ContainerPort}}
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initialDelaySeconds: 15
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timeoutSeconds: 1
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resources:
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{{ toYaml .Values.Resources | indent 12 }}
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@@ -0,0 +1,20 @@
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# Default values for tensorflow-inception.
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# This is a YAML-formatted file.
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# Declare name/value pairs to be passed into your templates.
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# name: value
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ServiceType: LoadBalancer
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ServicePort: 9090
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ContainerPort: 9090
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Component: "tensorflow-inception"
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Replicas: 1
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Image: "quay.io/lachie83/inception_serving"
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ImageTag: "latest"
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ImagePullPolicy: "IfNotPresent"
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Resources:
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limits:
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cpu: 100m
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memory: 256Mi
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requests:
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cpu: 100m
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memory: 256Mi
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