Add distributed tensorflow (#5187)

* Add distributed tensorflow

* list indentation

* move to stable
This commit is contained in:
cheyang
2018-06-06 13:40:25 -07:00
committed by k8s-ci-robot
parent 0be155433e
commit 690fd0d474
12 changed files with 413 additions and 0 deletions
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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
docker
*.jpg
# 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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apiVersion: v1
description: A Helm chart for running distributed TensorFlow on Kubernetes
name: distributed-tensorflow
version: 0.1.0
appVersion: 1.6.0
sources:
- https://github.com/tensorflow/tensorflow
- https://www.tensorflow.org/deploy/distributed
home: https://www.tensorflow.org
maintainers:
- name: cheyang
email: cheyang@163.com
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# Distributed TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs, and it supports distributed computing, allowing 'data parallel' or 'model parallel' on different servers. This means data scientists can now scale out distributed training to 100s of GPUs using TensorFlow.
- https://www.tensorflow.org
- https://www.tensorflow.org/deploy/distributed
![](distributed-tf.jpg)
## Prerequisites
- Kubernetes cluster v1.8+
## Chart Details
This chart will create a TensorFlow cluster, and distribute a computation graph across that cluster.
## Installing the Chart
* To install the chart with the release name `mnist`:
```bash
$ helm install --name mnist incubator/distributed-tensorflow
```
* To install with custom values via file:
```
$ helm install --values values.yaml --name mnist incubator/distributed-tensorflow
```
Below is an example of the custom value file values.yaml with GPU support.
```
worker:
number: 2
podManagementPolicy: Parallel
image:
repository: cheyang/distributed-tf
tag: 1.6.0-gpu
port: 9090
gpuCount: 1
ps:
number: 2
podManagementPolicy: Parallel
image:
repository: cheyang/distributed-tf
tag: 1.6.0
pullPolicy: IfNotPresent
port: 8080
# optimize for training
hyperparams:
batchsize: 20
learningrate: 0.001
```
> Notice: you can check the details of docker image from [Docker hub](https://hub.docker.com/r/cheyang/distributed-tf/)
## Uninstalling the Chart
* To uninstall/delete the `mnist` deployment:
```bash
$ helm delete mnist
```
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 Service Distributed Tensorflow
chart and their default values.
| Parameter | Description | Default |
|-----------|-------------|---------|
| `worker.image.repository` | TensorFlow Worker Server's image repository | `cheyang/distributed-tf` |
| `worker.image.tag` | TensorFlow Worker Server's image tag | `gpu` |
| `worker.image.pullPolicy` | image pullPolicy for the worker | `IfNotPresent` |
| `worker.gpuCount` | Set the gpu to be allocated and allowed for the Pods | `0` |
| `ps.image.repository` | TensorFlow Parameter Server's image repository | `cheyang/distributed-tf` |
| `ps.image.tag` | TensorFlow Parameter Server's image tag | `1.6.0-gpu` |
| `ps.image.pullPolicy` | image pullPolicy for the ps | `IfNotPresent` |
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1. Get the application Status by running these commands:
echo "Get the statefulset of distributed tensorflow"
kubectl get sts --namespace {{ .Release.Namespace }} -l "app={{ template "distributed-tensorflow.name" . }},release={{ .Release.Name }}"
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{{/* vim: set filetype=mustache: */}}
{{/*
Expand the name of the chart.
*/}}
{{- define "distributed-tensorflow.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 "distributed-tensorflow.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 "distributed-tensorflow.chart" -}}
{{- printf "%s-%s" .Chart.Name .Chart.Version | replace "+" "_" | trunc 63 | trimSuffix "-" -}}
{{- end -}}
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{{- $workerNum := .Values.worker.number -}}
{{- $workerPort := .Values.worker.port -}}
{{- $psNum := .Values.ps.number -}}
{{- $psPort := .Values.ps.port -}}
{{- $tfService := include "distributed-tensorflow.fullname" . }}
{{- $releaseName := .Release.Name -}}
apiVersion: v1
kind: ConfigMap
metadata:
name: {{ template "distributed-tensorflow.fullname" . }}
labels:
heritage: {{ .Release.Service | quote }}
release: {{ .Release.Name | quote }}
chart: {{ template "distributed-tensorflow.chart" . }}
app: {{ template "distributed-tensorflow.name" . }}
data:
ps.hostList: "
{{- range $i, $none := until (int $psNum) }}
{{- if gt $i 0}},{{- end }}{{ $releaseName }}-ps-{{ $i }}.{{ $tfService }}-ps:{{ $psPort }}
{{- end }}"
worker.hostList: "
{{- range $i, $none := until (int $workerNum) }}
{{- if gt $i 0}},{{- end }}{{ $releaseName }}-worker-{{ $i }}.{{ $tfService }}-worker:{{ $workerPort }}
{{- end }}"
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apiVersion: v1
kind: Service
metadata:
name: {{ template "distributed-tensorflow.fullname" . }}-ps
labels:
app: {{ template "distributed-tensorflow.name" . }}
chart: {{ template "distributed-tensorflow.chart" . }}
release: {{ .Release.Name }}
heritage: {{ .Release.Service }}
spec:
clusterIP: None
ports:
- port: {{ .Values.ps.port }}
targetPort: {{ .Values.ps.port }}
protocol: TCP
name: ps
selector:
app: {{ template "distributed-tensorflow.name" . }}
release: {{ .Release.Name }}
role: ps
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apiVersion: v1
kind: Service
metadata:
name: {{ template "distributed-tensorflow.fullname" . }}-worker
labels:
app: {{ template "distributed-tensorflow.name" . }}
chart: {{ template "distributed-tensorflow.chart" . }}
release: {{ .Release.Name }}
heritage: {{ .Release.Service }}
spec:
clusterIP: None
ports:
- port: {{ .Values.worker.port }}
targetPort: {{ .Values.worker.port }}
protocol: TCP
name: worker
selector:
app: {{ template "distributed-tensorflow.name" . }}
release: {{ .Release.Name }}
role: worker
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{{- $lr := .Values.hyperparams.learningrate -}}
{{- $batchsize := .Values.hyperparams.batchsize -}}
apiVersion: apps/v1beta2
kind: StatefulSet
metadata:
name: {{ .Release.Name }}-ps
labels:
app: {{ template "distributed-tensorflow.name" . }}
chart: {{ template "distributed-tensorflow.chart" . }}
release: {{ .Release.Name }}
heritage: {{ .Release.Service }}
role: ps
spec:
selector:
matchLabels:
app: {{ template "distributed-tensorflow.name" . }}
release: {{ .Release.Name }}
role: ps
serviceName: {{ template "distributed-tensorflow.fullname" . }}-ps
podManagementPolicy: {{ .Values.ps.podManagementPolicy }}
replicas: {{.Values.ps.number}}
template:
metadata:
labels:
app: {{ template "distributed-tensorflow.name" . }}
chart: {{ template "distributed-tensorflow.chart" . }}
release: {{ .Release.Name }}
heritage: {{ .Release.Service }}
role: ps
spec:
{{- if .Values.volumes }}
volumes:
{{ toYaml .Values.volumes | indent 6 }}
{{- end }}
containers:
- name: ps
image: "{{ .Values.ps.image.repository }}:{{ .Values.ps.image.tag }}"
imagePullPolicy: {{ .Values.ps.image.pullPolicy }}
command:
- "python"
- "train_distributed.py"
- --learning_rate
- {{ $lr | quote }}
- --batch_size
- {{ $batchsize | quote }}
env:
- name: WORKER_HOSTS
valueFrom:
configMapKeyRef:
name: {{ template "distributed-tensorflow.fullname" . }}
key: worker.hostList
- name: PS_HOSTS
valueFrom:
configMapKeyRef:
name: {{ template "distributed-tensorflow.fullname" . }}
key: ps.hostList
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: JOB_NAME
value: ps
{{- if .Values.ps.env }}
{{- range $key, $value := .Values.ps.env }}
- name: "{{ $key }}"
value: "{{ $value }}"
{{- end }}
{{- end }}
{{- if .Values.ps.privileged }}
securityContext:
privileged: true
{{- end }}
ports:
- containerPort: {{ .Values.ps.port }}
{{- if .Values.volumeMounts }}
volumeMounts:
{{ toYaml .Values.volumeMounts | indent 8 }}
{{- end }}
{{- if .Values.ps.resources }}
resources:
{{ toYaml .Values.ps.resources | indent 10 }}
{{- end }}
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{{- $lr := .Values.hyperparams.learningrate -}}
{{- $batchsize := .Values.hyperparams.batchsize -}}
apiVersion: apps/v1beta2
kind: StatefulSet
metadata:
name: {{ .Release.Name }}-worker
labels:
app: {{ template "distributed-tensorflow.name" . }}
chart: {{ template "distributed-tensorflow.chart" . }}
release: {{ .Release.Name }}
heritage: {{ .Release.Service }}
role: worker
spec:
selector:
matchLabels:
app: {{ template "distributed-tensorflow.name" . }}
release: {{ .Release.Name }}
role: worker
serviceName: {{ template "distributed-tensorflow.fullname" . }}-worker
podManagementPolicy: {{ .Values.worker.podManagementPolicy }}
replicas: {{.Values.worker.number}}
template:
metadata:
labels:
app: {{ template "distributed-tensorflow.name" . }}
chart: {{ template "distributed-tensorflow.chart" . }}
release: {{ .Release.Name }}
heritage: {{ .Release.Service }}
role: worker
spec:
{{- if .Values.volumes }}
volumes:
{{ toYaml .Values.volumes | indent 6 }}
{{- end }}
containers:
- name: worker
image: "{{ .Values.worker.image.repository }}:{{ .Values.worker.image.tag }}"
imagePullPolicy: {{ .Values.worker.image.pullPolicy }}
command:
- "python"
- "train_distributed.py"
{{- if gt (int .Values.worker.gpuCount) 0 }}
- --num_gpus
- "{{ .Values.worker.gpuCount }}"
{{- end }}
- --learning_rate
- {{ $lr | quote }}
- --batch_size
- {{ $batchsize | quote }}
env:
- name: WORKER_HOSTS
valueFrom:
configMapKeyRef:
name: {{ template "distributed-tensorflow.fullname" . }}
key: worker.hostList
- name: PS_HOSTS
valueFrom:
configMapKeyRef:
name: {{ template "distributed-tensorflow.fullname" . }}
key: ps.hostList
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: JOB_NAME
value: worker
{{- if .Values.worker.env }}
{{- range $key, $value := .Values.worker.env }}
- name: "{{ $key }}"
value: "{{ $value }}"
{{- end }}
{{- end }}
ports:
- containerPort: {{ .Values.worker.port }}
{{- if .Values.volumeMounts }}
volumeMounts:
{{ toYaml .Values.volumeMounts | indent 8 }}
{{- end }}
{{- if gt (int .Values.worker.gpuCount) 0 }}
resources:
limits:
nvidia.com/gpu: {{- .Values.worker.gpuCount }}
request:
nvidia.com/gpu: {{- .Values.worker.gpuCount }}
{{- end }}
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# Default values for distributed-tensorflow.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
worker:
number: 2
podManagementPolicy: Parallel
image:
repository: cheyang/distributed-tf
tag: 1.6.0
pullPolicy: IfNotPresent
port: 9000
# gpuCount: 2
ps:
number: 2
podManagementPolicy: Parallel
image:
repository: cheyang/distributed-tf
tag: 1.6.0
pullPolicy: IfNotPresent
port: 8000
# optimize for training
hyperparams:
batchsize: 20
learningrate: 0.001