mirror of
https://github.com/helm/charts.git
synced 2026-08-23 22:37:45 +00:00
AdamDang
f7400b4455
* Add Version 0.1.2 Add Version 0.1.2 * [stable/tensorflow-notebook] Typo fix: tables lists->table lists [stable/tensorflow-notebook] Typo fix: tables lists->table lists
94 lines
2.9 KiB
Markdown
94 lines
2.9 KiB
Markdown
# 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.
|
|
|
|
- https://www.tensorflow.org
|
|
- https://www.tensorflow.org/programmers_guide/summaries_and_tensorboard
|
|
- http://jupyter.org/
|
|
|
|
## 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](https://github.com/cheyang/TensorFlow-Examples/blob/master/notebooks/4_Utils/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` |
|