⚠️ Repo Archive Notice

As of Nov 13, 2020, charts in this repo will no longer be updated. For more information, see the Helm Charts Deprecation and Archive Notice, and Update.

TensorFlow Notebook Helm Chart

TensorFlow is an open source software library for numerical computation using data flow graphs, and tensorboard is the tool visualizing TensorFlow programs. Using Jupyter notebook to get into TensorFlow and develop models is the great way for data scientist. With these three tools you are able to start your machine learning work in two minutes.

DEPRECATION NOTICE

This chart is deprecated and no longer supported.

Prerequisites

Kubernetes cluster v1.8+

Chart Details

This chart will deploy the followings:

Jupyter Notebook with TensorFlow
Tensorboard

Installing the Chart

To install the chart with the release name notebook:

bash

$ helm install --name notebook stable/tensorflow-notebook

To install with custom values via file :

$ helm install  --values values.yaml  --name notebook  stable/tensorflow-notebook

Below is an example of the custom value file values.yaml with GPU support.

jupyter:
  image:
    repository: tensorflow/tensorflow
    tag: 1.6.0-devel-gpu
    pullPolicy: IfNotPresent
  password: tensorflow
  resources:
    limits:
      nvidia.com/gpu: 1
  requests:
      nvidia.com/gpu: 1
tensorboard: 
  image:   
    repository: tensorflow/tensorflow
    tag: 1.6.0-devel
    pullPolicy: IfNotPresent
service:
  type: LoadBalancer

Run TensorFlow Example tensorboard_basic.ipynb

Notice: you should set the log_path /output/training_logs

Check the TensorBoard

Uninstalling the Chart

To uninstall/delete the notebook deployment:
bash
```
$ helm delete notebook
```

The command removes all the Kubernetes components associated with the chart and deletes the release.

Configuration

The following table lists the configurable parameters of the Service Tensorflow Development chart and their default values.

Parameter	Description	Default
`jupyter.image.repository`	TensorFlow Development image repository	`tensorflow/tensorflow`
`jupyter.image.tag`	TensorFlow Development image tag	`1.5.0-devel-gpu`
`jupyter.password`	The password to access jupyter	`mytest`
`jupyter.image.pullPolicy`	image pullPolicy for the jupyter	`IfNotPresent`
`tensorboard.image.repository`	TensorFlow Development image repository	`tensorflow/tensorflow`
`tensorboard.image.tag`	TensorFlow Development image tag	`1.5.0-devel-gpu`
`tensorboard.image.pullPolicy`	image pullPolicy for the tensorboard	`IfNotPresent`
`resources`	Set the resource to be allocated and allowed for the Pods	`{}`
`service.type`	service type	`LoadBalancer`