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Merge pull request #1171 from alemorcuq/remove-tensorflow-inception

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[bitnami/tensorflow-inception] Remove tensorflow-inception chart (deprecated)
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Alejandro Moreno
2019-05-07 12:35:20 +02:00
committed by GitHub
parent de8f114a42 b43e8b57d6
commit cb451eab2c
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1
README.md
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@@ -59,7 +59,6 @@ $ helm search bitnami
- [nginx](https://github.com/bitnami/charts/tree/master/bitnami/nginx)
- [nginx-ingress-controller](https://github.com/bitnami/charts/tree/master/bitnami/nginx-ingress-controller)
- [NodeJS](https://github.com/bitnami/charts/tree/master/bitnami/node)
- [TensorFlow Inception](https://github.com/bitnami/charts/tree/master/bitnami/tensorflow-inception)
- [TensorFlow ResNet](https://github.com/bitnami/charts/tree/master/bitnami/tensorflow-resnet)
- [Tomcat](https://github.com/bitnami/charts/tree/master/bitnami/tomcat)
- [WildFly](https://github.com/bitnami/charts/tree/master/bitnami/wildfly)

21
bitnami/tensorflow-inception/.helmignore
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# Patterns to ignore when building packages.
# This supports shell glob matching, relative path matching, and
# negation (prefixed with !). Only one pattern per line.
.DS_Store
# Common VCS dirs
.git/
.gitignore
.bzr/
.bzrignore
.hg/
.hgignore
.svn/
# Common backup files
*.swp
*.bak
*.tmp
*~
# Various IDEs
.project
.idea/
*.tmproj

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bitnami/tensorflow-inception/Chart.yaml
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apiVersion: v1
name: tensorflow-inception
version: 3.3.1
appVersion: 1.13.0
description: Open-source software library for serving machine learning models
keywords:
- tensorflow
- serving
- inception
- machine
- learning
- library
home: https://www.tensorflow.org/serving/
icon: https://bitnami.com/assets/stacks/tensorflow-inception/img/tensorflow-inception-stack-220x234.png
sources:
- https://github.com/bitnami/bitnami-docker-tensorflow-serving
- https://github.com/bitnami/bitnami-docker-tensorflow-inception
maintainers:
- email: containers@bitnami.com
name: Bitnami
engine: gotpl

134
bitnami/tensorflow-inception/README.md
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# Deprecation Notice
The Bitnami TensorFlow Serving Inception v3 chart is deprecated. Consider using [TensorFlow Serving ResNet](https://github.com/bitnami/charts/tree/master/bitnami/tensorflow-resnet) instead. This repository will be archived in 15 days.
# TensorFlow Serving Inception v3
TensorFlow Serving is an open-source software library for serving machine learning models. This chart will specifically serve the Inception v3 model with already trained data.
## TL;DR;
```console
$ helm install bitnami/tensorflow-inception
```
## Introduction
This chart bootstraps a TensorFlow Serving Inception v3 pod on a [Kubernetes](http://kubernetes.io) cluster using the [Helm](https://helm.sh) package manager.
Bitnami charts can be used with [Kubeapps](https://kubeapps.com/) for deployment and management of Helm Charts in clusters. This Helm chart has been tested on top of [Bitnami Kubernetes Production Runtime](https://kubeprod.io/) (BKPR). Deploy BKPR to get automated TLS certificates, logging and monitoring for your applications.
## Prerequisites
- Kubernetes 1.4+ with Beta APIs enabled
- PV provisioner support in the underlying infrastructure
## Get this chart
Download the latest release of the chart from the [releases](../../../releases) page.
Alternatively, clone the repo if you wish to use the development snapshot:
```console
$ git clone https://github.com/bitnami/charts.git
```
## Installing the Chart
To install the chart with the release name `my-release`:
```console
$ helm install --name my-release bitnami/tensorflow-inception
```
The command deploys Tensorflow Serving Inception v3 model on the Kubernetes cluster in the default configuration. The [configuration](#configuration) section lists the parameters that can be configured during installation.
> **Tip**: List all releases using `helm list`
## Uninstalling the Chart
To uninstall/delete the `my-release` deployment:
```console
$ helm delete my-release
```
You can check your releases with:
```console
$ helm list
```
The command removes all the Kubernetes components associated with the chart and deletes the release.
## Configuration
The following tables lists the configurable parameters of the TensorFlow Inception chart and their default values.
| Parameter | Description | Default |
| ------------------------------- | ------------------------------------------------ | ------------------------------------------------------------ |
| `global.imageRegistry` | Global Docker image registry | `nil` |
| `global.imagePullSecrets` | Global Docker registry secret names as an array | `[]` (does not add image pull secrets to deployed pods) |
| `replicaCount` | desired number of pods | `1` |
| `server.image.registry` | TensorFlow Serving image registry | `docker.io` |
| `server.image.repository` | TensorFlow Serving Image name | `bitnami/tensorflow-serving` |
| `server.image.tag` | TensorFlow Serving Image tag | `{VERSION}` |
| `server.image.pullPolicy` | TensorFlow Serving image pull policy | `Always` if `imageTag` is `latest`, else `IfNotPresent` |
| `server.image.pullSecrets` | Specify docker-registry secret names as an array | `[]` (does not add image pull secrets to deployed pods) |
| `server.port` | Tensorflow server port | `8500` |
| `client.image.registry` | TensorFlow Inception image registry | `docker.io` |
| `client.image.repository` | TensorFlow Inception Image name | `bitnami/tensorflow-inception` |
| `client.image.tag` | TensorFlow Inception Image tag | `{VERSION}` |
| `client.image.pullPolicy` | TensorFlow Inception image pull policy | `Always` if `imageTag` is `latest`, else `IfNotPresent` |
| `client.image.pullSecrets` | Specify docker-registry secret names as an array | `[]` (does not add image pull secrets to deployed pods) |
| `securityContext.enabled` | Enable security context for TensorFlow Serving | `true` |
| `securityContext.fsGroup` | Group ID for TensorFlow Serving container | `1001` |
| `securityContext.runAsUser` | User ID for TensorFlow Serving container | `1001` |
| `imagePullPolicy` | Image pull policy | `Always` if `image` tag is `latest`, else `IfNotPresent` |
| `podAnnotations` | Pod annotations | `{}` |
| `metrics.enabled` | Start a side-car Tensorflow prometheus exporter | `false` |
| `metrics.image.registry` | Tensorflow exporter image registry | `docker.io` |
| `metrics.image.repository` | Tensorflow exporter image name | `ynqa/tensorflow-serving-exporter` |
| `metrics.image.tag` | Tensorflow exporter image tag | `latest` |
| `metrics.image.pullPolicy` | Image pull policy | `IfNotPresent` |
| `metrics.image.pullSecrets` | Specify docker-registry secret names as an array | `[]` (does not add image pull secrets to deployed pods) |
| `metrics.podAnnotations` | Additional annotations for Metrics exporter pod | `{prometheus.io/scrape: "true", prometheus.io/port: "9118"}` |
| `metrics.resources` | Exporter resource requests/limit | Memory: `256Mi`, CPU: `100m` |
Specify each parameter using the `--set key=value[,key=value]` argument to `helm install`. For example,
```console
$ helm install --name my-release bitnami/tensorflow-inception --set imagePullPolicy=Always
```
Alternatively, a YAML file that specifies the values for the above parameters can be provided while installing the chart. For example,
```console
$ helm install --name my-release -f values.yaml bitnami/tensorflow-inception
```
> **Tip**: You can use the default [values.yaml](values.yaml)
## Upgrading
### To 3.2.0
Tensorflow Serving container was moved to a non-root approach. There shouldn't be any issue when upgrading since the corresponding `securityContext` is enabled by default. Both container image and chart can be upgraded by running the command below:
```
$ helm upgrade my-release stable/tensorflow-inception
```
If you use a previous container image (previous to **1.12.0-r34**), disable the `securityContext` by running the command below:
```
$ helm upgrade my-release stable/tensorflow-inception --set securityContext.enabled=fase,server.image.tag=XXX
```
### To 1.0.0
Backwards compatibility is not guaranteed unless you modify the labels used on the chart's deployments.
Use the workaround below to upgrade from versions previous to 1.0.0. The following example assumes that the release name is tensorflow-inception:
```console
$ kubectl patch deployment tensorflow-inception --type=json -p='[{"op": "remove", "path": "/spec/selector/matchLabels/chart"}]'
```

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bitnami/tensorflow-inception/templates/NOTES.txt
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1. Get the TensorFlow Serving URL by running:
{{- if contains "NodePort" .Values.serviceType }}
export APP_HOST=$(kubectl get nodes --namespace {{ .Release.Namespace }} -o jsonpath="{.items[0].status.addresses[0].address}")
export APP_PORT=$(kubectl get svc --namespace {{ .Release.Namespace }} {{ template "fullname" . }} -o jsonpath="{.spec.ports[0].nodePort}")
{{- else if contains "LoadBalancer" .Values.serviceType }}
NOTE: It may take a few minutes for the LoadBalancer IP to be available.
Watch the status with: 'kubectl get svc --namespace {{ .Release.Namespace }} -w {{ template "fullname" . }}'
export APP_HOST=$(kubectl get svc --namespace {{ .Release.Namespace }} {{ template "fullname" . }} --template "{{"{{ range (index .status.loadBalancer.ingress 0) }}{{.}}{{ end }}"}}")
export APP_PORT=$(kubectl get svc --namespace {{ .Release.Namespace }} {{ template "fullname" . }} -o jsonpath="{.spec.ports[0].port}")
{{- end }}
2. Test the server with a sample image.
docker run --rm -it bitnami/tensorflow-inception bash -c "curl -o grace_hopper.jpg https://raw.githubusercontent.com/tensorflow/tensorflow/master/tensorflow/examples/label_image/data/grace_hopper.jpg && inception_client --server=$APP_HOST:$APP_PORT --image=grace_hopper.jpg"

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bitnami/tensorflow-inception/templates/_helpers.tpl
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{{/* vim: set filetype=mustache: */}}
{{/*
Expand the name of the chart.
*/}}
{{- define "name" -}}
{{- default .Chart.Name .Values.nameOverride | trunc 63 | trimSuffix "-" -}}
{{- end -}}
{{/*
Create a default fully qualified app name.
We truncate at 63 chars because some Kubernetes name fields are limited to this (by the DNS naming spec).
*/}}
{{- define "fullname" -}}
{{- $name := default .Chart.Name .Values.nameOverride -}}
{{- printf "%s-%s" .Release.Name $name | trunc 63 | trimSuffix "-" -}}
{{- end -}}
{{/*
Return the proper tensorflow-inception server image name
*/}}
{{- define "tensorflow-inception.server.image" -}}
{{- $registryName := .Values.server.image.registry -}}
{{- $repositoryName := .Values.server.image.repository -}}
{{- $tag := .Values.server.image.tag | toString -}}
{{/*
Helm 2.11 supports the assignment of a value to a variable defined in a different scope,
but Helm 2.9 and 2.10 doesn't support it, so we need to implement this if-else logic.
Also, we can't use a single if because lazy evaluation is not an option
*/}}
{{- if .Values.global }}
{{- if .Values.global.imageRegistry }}
{{- printf "%s/%s:%s" .Values.global.imageRegistry $repositoryName $tag -}}
{{- else -}}
{{- printf "%s/%s:%s" $registryName $repositoryName $tag -}}
{{- end -}}
{{- else -}}
{{- printf "%s/%s:%s" $registryName $repositoryName $tag -}}
{{- end -}}
{{- end -}}
{{/*
Return the proper tensorflow-inception client image name
*/}}
{{- define "tensorflow-inception.client.image" -}}
{{- $registryName := .Values.client.image.registry -}}
{{- $repositoryName := .Values.client.image.repository -}}
{{- $tag := .Values.client.image.tag | toString -}}
{{/*
Helm 2.11 supports the assignment of a value to a variable defined in a different scope,
but Helm 2.9 and 2.10 doesn't support it, so we need to implement this if-else logic.
Also, we can't use a single if because lazy evaluation is not an option
*/}}
{{- if .Values.global }}
{{- if .Values.global.imageRegistry }}
{{- printf "%s/%s:%s" .Values.global.imageRegistry $repositoryName $tag -}}
{{- else -}}
{{- printf "%s/%s:%s" $registryName $repositoryName $tag -}}
{{- end -}}
{{- else -}}
{{- printf "%s/%s:%s" $registryName $repositoryName $tag -}}
{{- end -}}
{{- end -}}
{{/*
Return the proper image name (for the metrics image)
*/}}
{{- define "tensorflow-inception.metrics.image" -}}
{{- $registryName := .Values.metrics.image.registry -}}
{{- $repositoryName := .Values.metrics.image.repository -}}
{{- $tag := .Values.metrics.image.tag | toString -}}
{{/*
Helm 2.11 supports the assignment of a value to a variable defined in a different scope,
but Helm 2.9 and 2.10 doesn't support it, so we need to implement this if-else logic.
Also, we can't use a single if because lazy evaluation is not an option
*/}}
{{- if .Values.global }}
{{- if .Values.global.imageRegistry }}
{{- printf "%s/%s:%s" .Values.global.imageRegistry $repositoryName $tag -}}
{{- else -}}
{{- printf "%s/%s:%s" $registryName $repositoryName $tag -}}
{{- end -}}
{{- else -}}
{{- printf "%s/%s:%s" $registryName $repositoryName $tag -}}
{{- end -}}
{{- end -}}
{{/*
Return the proper Docker Image Registry Secret Names
*/}}
{{- define "tensorflow-inception.imagePullSecrets" -}}
{{/*
Helm 2.11 supports the assignment of a value to a variable defined in a different scope,
but Helm 2.9 and 2.10 does not support it, so we need to implement this if-else logic.
Also, we can not use a single if because lazy evaluation is not an option
*/}}
{{- if .Values.global }}
{{- if .Values.global.imagePullSecrets }}
imagePullSecrets:
{{- range .Values.global.imagePullSecrets }}
- name: {{ . }}
{{- end }}
{{- else if or .Values.server.image.pullSecrets .Values.client.image.pullSecrets .Values.metrics.image.pullSecrets }}
imagePullSecrets:
{{- range .Values.server.image.pullSecrets }}
- name: {{ . }}
{{- end }}
{{- range .Values.client.image.pullSecrets }}
- name: {{ . }}
{{- end }}
{{- range .Values.metrics.image.pullSecrets }}
- name: {{ . }}
{{- end }}
{{- end -}}
{{- else if or .Values.server.image.pullSecrets .Values.client.image.pullSecrets .Values.metrics.image.pullSecrets }}
imagePullSecrets:
{{- range .Values.server.image.pullSecrets }}
- name: {{ . }}
{{- end }}
{{- range .Values.client.image.pullSecrets }}
- name: {{ . }}
{{- end }}
{{- range .Values.metrics.image.pullSecrets }}
- name: {{ . }}
{{- end }}
{{- end -}}
{{- end -}}

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bitnami/tensorflow-inception/templates/deployment.yaml
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apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: {{ template "fullname" . }}
labels:
app: {{ template "fullname" . }}
chart: "{{ .Chart.Name }}-{{ .Chart.Version }}"
release: "{{ .Release.Name }}"
heritage: "{{ .Release.Service }}"
spec:
selector:
matchLabels:
app: {{ template "fullname" . }}
release: "{{ .Release.Name }}"
replicas: {{ .Values.replicaCount }}
template:
metadata:
labels:
app: {{ template "fullname" . }}
chart: "{{ .Chart.Name }}-{{ .Chart.Version }}"
release: "{{ .Release.Name }}"
{{- if or .Values.podAnnotations .Values.metrics.enabled }}
annotations:
{{- if .Values.podAnnotations }}
{{ toYaml .Values.podAnnotations | indent 8 }}
{{- end }}
{{- if .Values.metrics.podAnnotations }}
{{ toYaml .Values.metrics.podAnnotations | indent 8 }}
{{- end }}
{{- end }}
spec:
{{- if .Values.securityContext.enabled }}
securityContext:
fsGroup: {{ .Values.securityContext.fsGroup }}
runAsUser: {{ .Values.securityContext.runAsUser }}
{{- end }}
{{- include "tensorflow-inception.imagePullSecrets" . | indent 6 }}
initContainers:
- name: seed
image: "{{ template "tensorflow-inception.client.image" . }}"
imagePullPolicy: {{ .Values.client.image.pullPolicy | quote }}
command:
- "/bin/sh"
- "-c"
- |
if [ -f /seed/.initialized ];then
echo "Already initialized. Skipping"
else
curl -o /seed/inception-v3-2016-03-01.tar.gz http://download.tensorflow.org/models/image/imagenet/inception-v3-2016-03-01.tar.gz
cd /seed/ && tar -xzf inception-v3-2016-03-01.tar.gz
rm inception-v3-2016-03-01.tar.gz
inception_saved_model --checkpoint_dir=/seed/inception-v3 --output_dir=/seed/
rm -rf inception-v3
touch /seed/.initialized
fi
volumeMounts:
- name: seed
mountPath: /seed
containers:
- name: serving
image: "{{ template "tensorflow-inception.server.image" . }}"
imagePullPolicy: {{ .Values.server.image.pullPolicy | quote }}
readinessProbe:
tcpSocket:
port: {{ .Values.server.port }}
timeoutSeconds: 5
livenessProbe:
tcpSocket:
port: {{ .Values.server.port }}
initialDelaySeconds: 30
timeoutSeconds: 5
failureThreshold: 6
volumeMounts:
- name: seed
mountPath: "/bitnami/model-data"
{{- if .Values.metrics.enabled }}
- name: metrics
image: {{ template "tensorflow-inception.metrics.image" . }}
imagePullPolicy: {{ .Values.metrics.image.pullPolicy | quote }}
command: ['python', 'tf_serving_exporter.py', '--tf_port', '{{ .Values.server.port }}', '--port', '9118', '--model_name', 'inception-v3']
ports:
- name: metrics
containerPort: 9118
livenessProbe:
httpGet:
path: /metrics
port: metrics
initialDelaySeconds: 15
timeoutSeconds: 5
readinessProbe:
httpGet:
path: /metrics
port: metrics
initialDelaySeconds: 5
timeoutSeconds: 1
resources:
{{ toYaml .Values.metrics.resources | indent 10 }}
{{- end }}
volumes:
- name: seed
emptyDir: {}

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bitnami/tensorflow-inception/templates/svc.yaml
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apiVersion: v1
kind: Service
metadata:
name: {{ template "fullname" . }}
labels:
app: {{ template "fullname" . }}
chart: "{{ .Chart.Name }}-{{ .Chart.Version }}"
release: "{{ .Release.Name }}"
heritage: "{{ .Release.Service }}"
spec:
type: {{ .Values.serviceType }}
ports:
- port: {{ .Values.server.port }}
protocol: TCP
selector:
app: {{ template "fullname" . }}

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bitnami/tensorflow-inception/values.yaml
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## Global Docker image parameters
## Please, note that this will override the image parameters, including dependencies, configured to use the global value
## Current available global Docker image parameters: imageRegistry and imagePullSecrets
##
# global:
# imageRegistry: myRegistryName
# imagePullSecrets:
# - myRegistryKeySecretName
replicaCount: 1
## TensorFlow Serving server image version
## ref: https://hub.docker.com/r/bitnami/tensorflow-serving/tags/
##
server:
image:
registry: docker.io
repository: bitnami/tensorflow-serving
tag: 1.13.0
## Specify a imagePullPolicy
## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
##
pullPolicy: IfNotPresent
## Optionally specify an array of imagePullSecrets.
## Secrets must be manually created in the namespace.
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
##
# pullSecrets:
# - myRegistryKeySecretName
port: 8500
## TensorFlow Inception image version
## ref: https://hub.docker.com/r/bitnami/tensorflow-inception/tags/
##
client:
image:
registry: docker.io
repository: bitnami/tensorflow-inception
tag: 1.11.1
## Specify a imagePullPolicy
## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
##
pullPolicy: IfNotPresent
## Optionally specify an array of imagePullSecrets.
## Secrets must be manually created in the namespace.
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
##
# pullSecrets:
# - myRegistryKeySecretName
## Specify a imagePullPolicy
## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
##
imagePullPolicy: IfNotPresent
## Tensorflow Serving Pod Security Context
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/security-context/
##
securityContext:
enabled: true
fsGroup: 1001
runAsUser: 1001
## Kubernetes configuration
## For minikube, set this to NodePort, elsewhere use LoadBalancer
##
serviceType: LoadBalancer
## Pod annotations
## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
##
podAnnotations: {}
## Prometheus Exporter / Metrics
##
metrics:
enabled: false
image:
registry: docker.io
repository: ynqa/tensorflow-serving-exporter
tag: latest
pullPolicy: IfNotPresent
## Optionally specify an array of imagePullSecrets.
## Secrets must be manually created in the namespace.
## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
##
# pullSecrets:
# - myRegistryKeySecretName
## Metrics exporter pod Annotation and Labels
podAnnotations:
prometheus.io/scrape: "true"
prometheus.io/port: "9118"
## Metrics exporter resource requests and limits
## ref: http://kubernetes.io/docs/user-guide/compute-resources/
##
# resources: {}