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Final readme fixes #16

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merged 4 commits into from
Dec 7, 2017
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Final readme fixes #16

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11f7866
Final readme fixes
foxish Dec 7, 2017
8d0d71a
Adding a sample configuration
foxish Dec 7, 2017
c04f828
Fixed sentence fragment
foxish Dec 7, 2017
7410862
Remove Tensorboard reference
foxish Dec 7, 2017
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Adding a sample configuration
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@foxish
foxish committed Dec 7, 2017
commit 8d0d71a9323c60791ea49e2189dc8183568f83fd
33 changes: 31 additions & 2 deletions README.md
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Expand Up @@ -93,9 +93,38 @@ unsecured endpoint. For a production deployment, refer to the [documentation](ju
### Training

The TFJob controller takes a YAML specification for a master, parameter servers, and workers to help run [distributed tensorflow](https://www.tensorflow.org/deploy/distributed). The quick start deploys a TFJob controller and installs a new `tensorflow.org/v1alpha1` API type.
You can create new Tensorflow Training deployments by submitting a specification to the aforementioned API. For examples, look under the [tf-controller-examples/](https://github.com/google/kubeflow/tree/master/tf-controller-examples) directory.
You can create new Tensorflow Training deployments by submitting a specification to the aforementioned API.

Refer to the README in the [tensorflow/k8s](https://github.com/tensorflow/k8s) repository for more information on using the TfJob controller to run TensorFlow jobs on K8s.
An example specification looks like the following:

```
apiVersion: "tensorflow.org/v1alpha1"
kind: "TfJob"
metadata:
name: "example-job"
spec:
replicaSpecs:
- replicas: 1
tfReplicaType: MASTER
template:
spec:
containers:
- image: gcr.io/tf-on-k8s-dogfood/tf_sample:dc944ff
name: tensorflow
restartPolicy: OnFailure
- replicas: 1
tfReplicaType: WORKER
template:
spec:
containers:
- image: gcr.io/tf-on-k8s-dogfood/tf_sample:dc944ff
name: tensorflow
restartPolicy: OnFailure
- replicas: 2
tfReplicaType: PS
```

For runnable examples, look under the [tf-controller-examples/](https://github.com/google/kubeflow/tree/master/tf-controller-examples) directory. Detailed documentation can be found in the [tensorflow/k8s](https://github.com/tensorflow/k8s) repository for more information on using the TfJob controller to run TensorFlow jobs on Kubernetes.

### Serve Model

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