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adding chart torchserve-0.1.0
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softwarerecipes committed Oct 18, 2024
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23 changes: 23 additions & 0 deletions charts/torchserve-0.1.0/.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
*.orig
*~
# Various IDEs
.project
.idea/
*.tmproj
.vscode/
11 changes: 11 additions & 0 deletions charts/torchserve-0.1.0/Chart.yaml
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apiVersion: v2
appVersion: 1.16.0
description: TorchServe is a performant, flexible and easy to use tool for serving
PyTorch models in production on Intel GPUs.
maintainers:
- email: [email protected]
name: tylertitsworth
url: https://github.com/tylertitsworth
name: torchserve
type: application
version: 0.1.0
41 changes: 41 additions & 0 deletions charts/torchserve-0.1.0/README.md
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# TorchServe with Intel Optimizations

TorchServe is a performant, flexible and easy to use tool for serving PyTorch models in production on Intel GPUs.

For more information about how to use TorchServe with Intel Optimizations, check out the [container documentation](../../../pytorch/serving/README.md).

![Version: 0.1.0](https://img.shields.io/badge/Version-0.1.0-informational?style=flat-square) ![Type: application](https://img.shields.io/badge/Type-application-informational?style=flat-square) ![AppVersion: 1.16.0](https://img.shields.io/badge/AppVersion-1.16.0-informational?style=flat-square)

## Values

| Key | Type | Default | Description |
|-----|------|---------|-------------|
| deploy.env | object | `{"configMapName":"intel-proxy-config","enabled":true}` | Add Environment mapping |
| deploy.image | string | `"intel/intel-optimized-pytorch:2.3.0-serving-cpu"` | Intel Optimized torchserve image |
| deploy.modelConfig | string | `"/home/model-server/config.properties"` | Model Server Configuration file location |
| deploy.models | string | `"all"` | Models to be loaded |
| deploy.replicas | int | `1` | Number of pods |
| deploy.resources.limits | object | `{"cpu":"4000m","memory":"1Gi"}` | Maximum resources per pod |
| deploy.resources.requests | object | `{"cpu":"1000m","memory":"512Mi"}` | Minimum resources per pod |
| deploy.storage.nfs | object | `{"enabled":false,"path":"nil","readOnly":true,"server":"nil","subPath":"nil"}` | Network File System (NFS) storage for models |
| deploy.tokens_disabled | bool | `true` | Set token authentication on or off. Checkout the latest [torchserve docs](https://github.com/pytorch/serve/blob/master/docs/token_authorization_api.md) for more details. |
| fullnameOverride | string | `""` | Full qualified Domain Name |
| nameOverride | string | `""` | Name of the serving service |
| pvc.size | string | `"1Gi"` | Size of the storage |
| service.type | string | `"NodePort"` | Type of service |

## Next Steps

There are some additional steps that can be taken to prepare your service for your users:

- Enable [Autoscaling](https://github.com/pytorch/serve/blob/master/kubernetes/autoscale.md#autoscaler) via Prometheus
- Enable [Intel GPU](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/gpu_plugin/README.md#install-to-nodes-with-intel-gpus-with-fractional-resources)
- Enable [Metrics](https://pytorch.org/serve/metrics.html) and [Metrics API](https://pytorch.org/serve/metrics_api.html).
- Enable [Profiling](https://github.com/pytorch/serve/blob/master/docs/performance_guide.md#profiling).
- Export an [INT8 Model for IPEX](https://github.com/pytorch/serve/blob/f7ae6f8281ac6e26404a6ae4d210535c9dc96d9a/examples/intel_extension_for_pytorch/README.md#creating-and-exporting-int8-model-for-intel-extension-for-pytorch)
- Integrate an [Ingress](https://kubernetes.io/docs/concepts/services-networking/ingress/) to your service to serve to a hostname rather than an ip address.
- Integrate [MLFlow](https://github.com/mlflow/mlflow-torchserve).
- Integrate an [SSL Certificate](https://pytorch.org/serve/configuration.html#enable-ssl) in your model config file to serve models securely.

----------------------------------------------
Autogenerated from chart metadata using [helm-docs v1.14.2](https://github.com/norwoodj/helm-docs/releases/v1.14.2)
26 changes: 26 additions & 0 deletions charts/torchserve-0.1.0/README.md.gotmpl
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# TorchServe with Intel Optimizations

{{ template "chart.description" . }}

For more information about how to use TorchServe with Intel Optimizations, check out the [container documentation](../../../pytorch/serving/README.md).

{{ template "chart.versionBadge" . }}{{ template "chart.typeBadge" . }}{{ template "chart.appVersionBadge" . }}

{{ template "chart.requirementsSection" . }}

{{ template "chart.valuesSection" . }}

## Next Steps

There are some additional steps that can be taken to prepare your service for your users:

- Enable [Autoscaling](https://github.com/pytorch/serve/blob/master/kubernetes/autoscale.md#autoscaler) via Prometheus
- Enable [Intel GPU](https://github.com/intel/intel-device-plugins-for-kubernetes/blob/main/cmd/gpu_plugin/README.md#install-to-nodes-with-intel-gpus-with-fractional-resources)
- Enable [Metrics](https://pytorch.org/serve/metrics.html) and [Metrics API](https://pytorch.org/serve/metrics_api.html).
- Enable [Profiling](https://github.com/pytorch/serve/blob/master/docs/performance_guide.md#profiling).
- Export an [INT8 Model for IPEX](https://github.com/pytorch/serve/blob/f7ae6f8281ac6e26404a6ae4d210535c9dc96d9a/examples/intel_extension_for_pytorch/README.md#creating-and-exporting-int8-model-for-intel-extension-for-pytorch)
- Integrate an [Ingress](https://kubernetes.io/docs/concepts/services-networking/ingress/) to your service to serve to a hostname rather than an ip address.
- Integrate [MLFlow](https://github.com/mlflow/mlflow-torchserve).
- Integrate an [SSL Certificate](https://pytorch.org/serve/configuration.html#enable-ssl) in your model config file to serve models securely.

{{ template "helm-docs.versionFooter" . }}
21 changes: 21 additions & 0 deletions charts/torchserve-0.1.0/templates/NOTES.txt
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1. Get the application URL by running these commands:
{{- if contains "NodePort" .Values.service.type }}
export NODE_PORT=$(kubectl get --namespace {{ .Release.Namespace }} -o jsonpath="{.spec.ports[0].nodePort}" services {{ include "torchserve.fullname" . }})
export NODE_IP=$(kubectl get nodes --namespace {{ .Release.Namespace }} -o jsonpath="{.items[0].status.addresses[0].address}")
echo http://$NODE_IP:$NODE_PORT
{{- else if contains "LoadBalancer" .Values.service.type }}
NOTE: It may take a few minutes for the LoadBalancer IP to be available.
You can watch its status by running 'kubectl get --namespace {{ .Release.Namespace }} svc -w {{ include "torchserve.fullname" . }}'
export SERVICE_IP=$(kubectl get svc --namespace {{ .Release.Namespace }} {{ include "torchserve.fullname" . }} --template "{{"{{ range (index .status.loadBalancer.ingress 0) }}{{.}}{{ end }}"}}")
echo http://$SERVICE_IP:30000/ping
{{- else if contains "ClusterIP" .Values.service.type }}
export POD_NAME=$(kubectl get pods --namespace {{ .Release.Namespace }} -l "app.kubernetes.io/name={{ include "torchserve.name" . }},app.kubernetes.io/instance={{ .Release.Name }}" -o jsonpath="{.items[0].metadata.name}")
export CONTAINER_PORT=$(kubectl get pod --namespace {{ .Release.Namespace }} $POD_NAME -o jsonpath="{.spec.containers[0].ports[0].containerPort}")
echo "Visit http://127.0.0.1:8080 to use your application"
kubectl --namespace {{ .Release.Namespace }} port-forward $POD_NAME 8080:$CONTAINER_PORT
{{- end }}
{{- if eq false .Values.deploy.tokens_disabled }}
2. Display the tokens for accessing the APIs. For more details about token authentication checkout: https://github.com/pytorch/serve/blob/master/docs/token_authorization_api.md
export POD_NAME=$(kubectl get pods --namespace {{ .Release.Namespace }} -l "app.kubernetes.io/name={{ include "torchserve.name" . }},app.kubernetes.io/instance={{ .Release.Name }}" -o jsonpath="{.items[0].metadata.name}")
kubectl exec --namespace {{ .Release.Namespace }} $POD_NAME -- cat /home/model-server/key_file.json
{{- end }}
62 changes: 62 additions & 0 deletions charts/torchserve-0.1.0/templates/_helpers.tpl
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{{/*
Expand the name of the chart.
*/}}
{{- define "torchserve.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).
If release name contains chart name it will be used as a full name.
*/}}
{{- define "torchserve.fullname" -}}
{{- if .Values.fullnameOverride }}
{{- .Values.fullnameOverride | trunc 63 | trimSuffix "-" }}
{{- else }}
{{- $name := default .Chart.Name .Values.nameOverride }}
{{- if contains $name .Release.Name }}
{{- .Release.Name | trunc 63 | trimSuffix "-" }}
{{- else }}
{{- printf "%s-%s" .Release.Name $name | trunc 63 | trimSuffix "-" }}
{{- end }}
{{- end }}
{{- end }}

{{/*
Create chart name and version as used by the chart label.
*/}}
{{- define "torchserve.chart" -}}
{{- printf "%s-%s" .Chart.Name .Chart.Version | replace "+" "_" | trunc 63 | trimSuffix "-" }}
{{- end }}

{{/*
Common labels
*/}}
{{- define "torchserve.labels" -}}
helm.sh/chart: {{ include "torchserve.chart" . }}
{{ include "torchserve.selectorLabels" . }}
{{- if .Chart.AppVersion }}
app.kubernetes.io/version: {{ .Chart.AppVersion | quote }}
{{- end }}
app.kubernetes.io/managed-by: {{ .Release.Service }}
{{- end }}

{{/*
Selector labels
*/}}
{{- define "torchserve.selectorLabels" -}}
app.kubernetes.io/name: {{ include "torchserve.name" . }}
app.kubernetes.io/instance: {{ .Release.Name }}
{{- end }}

{{/*
Create the name of the service account to use
*/}}
{{- define "torchserve.serviceAccountName" -}}
{{- if .Values.serviceAccount.create }}
{{- default (include "torchserve.fullname" .) .Values.serviceAccount.name }}
{{- else }}
{{- default "default" .Values.serviceAccount.name }}
{{- end }}
{{- end }}
95 changes: 95 additions & 0 deletions charts/torchserve-0.1.0/templates/deploy.yaml
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# Copyright (c) 2024 Intel Corporation
#
# 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: apps/v1
kind: Deployment
metadata:
name: {{ include "torchserve.fullname" . }}
labels:
{{- include "torchserve.labels" . | nindent 4 }}
spec:
replicas: {{ .Values.deploy.replicas }}
selector:
matchLabels:
{{- include "torchserve.selectorLabels" . | nindent 6 }}
template:
metadata:
labels:
{{- include "torchserve.selectorLabels" . | nindent 8 }}
spec:
containers:
- name: torchserve
image: {{ .Values.deploy.image }}
args:
- 'torchserve'
- '--start'
- '--ts-config'
- {{ .Values.deploy.modelConfig }}
- '--model-store'
- 'model-store'
- '--workflow-store'
- 'model-store'
- '--models'
- {{ .Values.deploy.models }}
{{- if eq .Values.deploy.env.enabled true }}
envFrom:
- configMapRef:
name: {{ .Values.deploy.env.configMapName }}
{{- end }}
env:
- name: TS_DISABLE_TOKEN_AUTHORIZATION
value: "{{ .Values.deploy.tokens_disabled }}"
ports:
- name: rest-1
containerPort: 8080
- name: rest-2
containerPort: 8081
- name: rest-3
containerPort: 8082
- name: grpc-1
containerPort: 7070
- name: grpc-2
containerPort: 7071
volumeMounts:
{{- if .Values.deploy.storage.nfs.enabled }}
- name: model
mountPath: /home/model-server/model-store
subPath: {{ .Values.deploy.storage.nfs.subPath }}
{{- else }}
- name: model
mountPath: /home/model-server/model-store
{{- end }}
resources:
requests:
cpu: {{ .Values.deploy.resources.requests.cpu }}
memory: {{ .Values.deploy.resources.requests.memory }}
limits:
cpu: {{ .Values.deploy.resources.limits.cpu }}
memory: {{ .Values.deploy.resources.limits.memory }}
securityContext:
fsGroup: 1000
runAsUser: 1000
volumes:
{{- if .Values.deploy.storage.nfs.enabled }}
- name: model
nfs:
server: {{ .Values.deploy.storage.nfs.server }}
path: {{ .Values.deploy.storage.nfs.path }}
readOnly: {{ .Values.deploy.storage.nfs.readOnly }}
emptyDir: {}
{{- else }}
- name: model
persistentVolumeClaim:
claimName: {{ include "torchserve.fullname" . }}-model-dir
{{- end }}
29 changes: 29 additions & 0 deletions charts/torchserve-0.1.0/templates/pvc.yaml
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# Copyright (c) 2024 Intel Corporation
#
# 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.

---
{{- if not .Values.deploy.storage.nfs.enabled }}
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: {{ include "torchserve.fullname" . }}-model-dir
labels:
{{- include "torchserve.labels" . | nindent 4 }}
spec:
accessModes:
- ReadWriteMany
resources:
requests:
storage: {{ .Values.pvc.size }}
{{- end }}
61 changes: 61 additions & 0 deletions charts/torchserve-0.1.0/templates/service.yaml
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# Copyright (c) 2024 Intel Corporation
#
# 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: v1
kind: Service
metadata:
name: {{ include "torchserve.fullname" . }}
labels:
{{- include "torchserve.labels" . | nindent 4 }}
spec:
ports:
- name: rest-1
{{- if eq .Values.service.type "NodePort" }}
nodePort: 30000
{{- else }}
targetPort: 30000
{{- end }}
port: 8080
- name: rest-2
{{- if eq .Values.service.type "NodePort" }}
nodePort: 30001
{{- else }}
targetPort: 30001
{{- end }}
port: 8081
- name: rest-3
{{- if eq .Values.service.type "NodePort" }}
nodePort: 30002
{{- else }}
targetPort: 30002
{{- end }}
port: 8082
- name: grpc-1
{{- if eq .Values.service.type "NodePort" }}
nodePort: 30003
{{- else }}
targetPort: 30003
{{- end }}
port: 7070
- name: grpc-2
{{- if eq .Values.service.type "NodePort" }}
nodePort: 30004
{{- else }}
targetPort: 30004
{{- end }}
port: 7071
selector:
{{- include "torchserve.selectorLabels" . | nindent 6 }}
type: {{ .Values.service.type }}
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