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Minor edits based on feedback from kubeflow/website (#74)
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terrytangyuan authored and k8s-ci-robot committed Jan 10, 2019
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Training should run for 100 steps and takes a few minutes on a GPU cluster. Logs can be inspected to see its training progress. Once everything starts, the logs can be accessed from the `launcher` pod:
Training should run for 100 steps and takes a few minutes on a GPU cluster. You can inspect the logs to see the training progress. When the job starts, access the logs from the `launcher` pod:

```
PODNAME=$(kubectl get pods -l mpi_job_name=tensorflow-benchmarks-16,mpi_role_type=launcher -o name)
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# Docker Images

Docker images are being built and pushed automatically to [mpioperator on Dockerhub](https://hub.docker.com/u/mpioperator). You may find the following Dockerfiles to build the images yourself:
Docker images are built and pushed automatically to [mpioperator on Dockerhub](https://hub.docker.com/u/mpioperator). You can use the following Dockerfiles to build the images yourself:

* [mpi-operator](https://github.com/kubeflow/mpi-operator/blob/master/Dockerfile)
* [kubectl-delivery](https://github.com/kubeflow/mpi-operator/blob/master/cmd/kubectl-delivery/Dockerfile)

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