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{{/*
# Copyright 2019 Intel Corporation, Inc
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
*/}}
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: {{ include "tf-serving.fullname" . }}
labels:
app: {{ include "tf-serving.name" . }}
chart: {{ .Chart.Name }}-{{ .Chart.Version | replace "+" "_" }}
release: {{ .Release.Name }}
heritage: {{ .Release.Service | quote }}
spec:
replicas: 1
selector:
matchLabels:
app: {{ include "tf-serving.name" . }}
release: {{ .Release.Name }}
modelName: {{ .Values.modelName }}
template:
metadata:
labels:
app: {{ include "tf-serving.name" . }}
release: {{ .Release.Name }}
modelName: {{ .Values.modelName }}
spec:
serviceAccountName: {{ template "tf-serving.serviceAccountName" . }}
containers:
- name: tf-serving
image: "{{ .Values.image.tensorflowServing.repository }}:{{ .Values.image.tensorflowServing.tag }}"
imagePullPolicy: {{ .Values.image.pullPolicy }}
command:
- "/usr/bin/tensorflow_model_server"
args:
- "--port={{ .Values.service.tensorflowServingPort }}"
- "--model_name={{ .Values.modelName }}"
- "--model_base_path={{ .Values.modelBasePath }}"
ports:
- name: tf-serving
containerPort: {{ .Values.service.tensorflowServingPort }}
protocol: TCP
env:
- name: AWS_ACCESS_KEY_ID
valueFrom:
secretKeyRef:
name: {{ if .Values.minio.existingSecret }}{{ .Values.minio.existingSecret }}{{ else }}{{ template "tf-serving.fullname" . }}{{ end }}
key: accesskey
- name: AWS_SECRET_ACCESS_KEY
valueFrom:
secretKeyRef:
name: {{ if .Values.minio.existingSecret }}{{ .Values.minio.existingSecret }}{{ else }}{{ template "tf-serving.fullname" . }}{{ end }}
key: secretkey
{{- range $key, $val := .Values.minio.environment }}
- name: {{ $key }}
value: {{ $val | quote }}
{{- end}}
readinessProbe:
tcpSocket:
port: tf-serving
initialDelaySeconds: 15
timeoutSeconds: 1
resources:
{{- toYaml .Values.resources | nindent 12 }}
volumeMounts:
- mountPath: /models
name: models
- name: tensorboard
image: "{{ .Values.image.tensorboard.repository }}:{{ .Values.image.tensorboard.tag }}"
imagePullPolicy: {{ .Values.image.pullPolicy }}
command:
- tensorboard
args:
- --logdir
- {{ .Values.modelBasePath }}
- --host
- 0.0.0.0
ports:
- name: tensorboard
containerPort: {{ .Values.service.tensorboardPort }}
protocol: TCP
env:
- name: AWS_ACCESS_KEY_ID
valueFrom:
secretKeyRef:
name: {{ if .Values.minio.existingSecret }}{{ .Values.minio.existingSecret }}{{ else }}{{ template "tf-serving.fullname" . }}{{ end }}
key: accesskey
- name: AWS_SECRET_ACCESS_KEY
valueFrom:
secretKeyRef:
name: {{ if .Values.minio.existingSecret }}{{ .Values.minio.existingSecret }}{{ else }}{{ template "tf-serving.fullname" . }}{{ end }}
key: secretkey
{{- range $key, $val := .Values.minio.environment }}
- name: {{ $key }}
value: {{ $val | quote }}
{{- end}}
livenessProbe:
httpGet:
path: /
port: {{ .Values.service.tensorboardPort }}
readinessProbe:
httpGet:
path: /
port: {{ .Values.service.tensorboardPort }}
volumeMounts:
- mountPath: /output/training_logs
name: training-logs-volume
resources:
{{- toYaml .Values.resources | nindent 12 }}
volumes:
- name: models
emptyDir: {}
- name: training-logs-volume
emptyDir: {}
{{- with .Values.nodeSelector }}
nodeSelector:
{{- toYaml . | nindent 8 }}
{{- end }}
{{- with .Values.affinity }}
affinity:
{{- toYaml . | nindent 8 }}
{{- end }}
{{- with .Values.tolerations }}
tolerations:
{{- toYaml . | nindent 8 }}
{{- end }}
|
