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Diff for: content/docs/about/community.md

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| Topic | Mailing list | Slack |
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| :---- | :------------ | :------------- |
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| General discussion | [kubeflow-discuss](https://groups.google.com/forum/#!forum/kubeflow-discuss) | [#general](https://kubeflow.slack.com/messages/C7REE0EHK) |
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| TF Operator ([Github](https://github.com/kubeflow/tf-operator)) | [tf-operator](https://groups.google.com/a/kubeflow.org/forum/#!forum/tf-operator) | [#tf-operator](https://kubeflow.slack.com/messages/https://kubeflow.slack.com/messages/C985VJN9F) |
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| TF Operator ([GitHub](https://github.com/kubeflow/tf-operator)) | [tf-operator](https://groups.google.com/a/kubeflow.org/forum/#!forum/tf-operator) | [#tf-operator](https://kubeflow.slack.com/messages/https://kubeflow.slack.com/messages/C985VJN9F) |
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| Community meeting chat | n/a | [#community](https://kubeflow.slack.com/messages/C8Q0QJYNB) |
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Slack server: [kubeflow.slack.com](https://kubeflow.slack.com/)

Diff for: content/docs/about/events.md

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- [Slides](https://docs.google.com/presentation/d/1cphcFf4qszQ9PxcEnYkF0pkY3AZEQiEEjs8cso2KJjE/edit?usp=sharing)
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- MiniKF: Local Kubeflow: Vangelis Koukis, Arrikto
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- [Slides](https://docs.google.com/presentation/d/1ftOhRZtpIF3Iy-2R6z9kwgS3KMUtIFnvA1LHHEyxsp8/edit?usp=sharing)
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- Tensorflow 2.0 is coming!: Paige Bailey, Google
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- TensorFlow 2.0 is coming!: Paige Bailey, Google
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- [Slides](https://docs.google.com/presentation/d/1G0BE7tvhsCzZn2uaxEZsoosEZyXkjN8CnB3uHvLpiC0/edit?usp=sharing)
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- Overview of Kubeflow Pipelines: Pavel Dournov, Google
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- [Slides](https://docs.google.com/presentation/d/1aMmJUz7r7Toky4nGZ1bItWKfXW4kSMbs4cofFeyKE-M/edit?usp=sharing)
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* Cloud-Native, Docker, and Kubernetes Summit, Dallas, 12 September, 2018
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- [Deploying Machine Learning Workloads in Kubernetes clusters that support GPUs](https://www.eventbrite.com/e/kubernetes-classes-at-cloud-native-docker-k8s-summit-tickets-44954443952): Michael Iatrou
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* [O’Reilly Strata Data, New York](https://conferences.oreilly.com/strata/strata-ny), 11-13 September, 2018
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- [From Training to Serving: Deploying Tensorflow Models with Kubernetes](https://conferences.oreilly.com/strata/strata-ny/public/schedule/detail/69362): Brian Foo, Holden Karau, Jay Smith
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- [From Training to Serving: Deploying TensorFlow Models with Kubernetes](https://conferences.oreilly.com/strata/strata-ny/public/schedule/detail/69362): Brian Foo, Holden Karau, Jay Smith
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- [Kubeflow Explained: Portable Machine Learning on Kubernetes](https://conferences.oreilly.com/strata/strata-ny/public/schedule/detail/69041): Michelle Casbon
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* [O'Reilly AI Conference, San Francisco](https://conferences.oreilly.com/artificial-intelligence/ai-ca), 4-7 September, 2018
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- [TensorFlow Days: Kubeflow: Portable Machine Learning on Kubernetes](https://conferences.oreilly.com/artificial-intelligence/ai-ca/public/schedule/topic/2899): Michelle Casbon
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- [Spotlight Lab: Kubeflow End-to-End: GitHub Issue Summarization](https://cloud.withgoogle.com/next18/sf/sessions/session/229637): Michelle Casbon
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- [Codelab](https://codelabs.developers.google.com/codelabs/cloud-kubeflow-e2e-gis/index.html)
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* [O'Reilly Open Source Convention, Portland](https://conferences.oreilly.com/oscon/oscon-or-2018), 16-19 July, 2018
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- [Tensorflow Day: Hassle-free, scalable machine learning with Kubeflow](https://conferences.oreilly.com/oscon/oscon-or/public/schedule/detail/70899): Barbara Fusinska
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- [TensorFlow Day: Hassle-free, scalable machine learning with Kubeflow](https://conferences.oreilly.com/oscon/oscon-or/public/schedule/detail/70899): Barbara Fusinska
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* [SciPy, Austin](https://scipy2018.scipy.org/ehome/index.php?eventid=299527), 09-15 July, 2018
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- Kubeflow: Pythonic Machine Learning at Scale on Kubernetes: David Aronchick, Paige Bailey
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- [Video](https://www.youtube.com/watch?v=b_CvqzmB51M)

Diff for: content/docs/components/mpi.md

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## Creating an MPI Job
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You can create an MPI job by defining an `MPIJob` config file. See [Tensorflow benchmark example](https://github.com/kubeflow/mpi-operator/blob/master/examples/tensorflow-benchmarks.yaml) config file for launching a multi-node TensorFlow benchmark training job. You may change the config file based on your requirements.
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You can create an MPI job by defining an `MPIJob` config file. See [TensorFlow benchmark example](https://github.com/kubeflow/mpi-operator/blob/master/examples/tensorflow-benchmarks.yaml) config file for launching a multi-node TensorFlow benchmark training job. You may change the config file based on your requirements.
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```
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cat examples/tensorflow-benchmarks.yaml

Diff for: content/docs/components/tfserving_new.md

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title = "TensorFlow Serving"
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description = "Serving Tensorflow models"
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description = "Serving TensorFlow models"
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weight = 51
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Diff for: content/docs/examples/resources.md

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{{% blocks/content-item title="Object detection - cats and dogs"
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url="https://github.com/kubeflow/examples/tree/master/object_detection" %}}
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Train a distribued model for recognizing breeds of cats and
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dogs with the Tensorflow Object Detection API. Serve the model using TensorFlow.
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dogs with the TensorFlow Object Detection API. Serve the model using TensorFlow.
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{{% /blocks/content-item %}}
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{{% blocks/content-item title="PyTorch MNIST"

Diff for: content/docs/gke/gcp-e2e.md

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* Packaging a TensorFlow program in a [Kubernetes][kubernetes] container.
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* Uploading the container to [Container Registry][container-registry].
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* Submitting a Tensorflow training ([tf.train][tf-train]) job.
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* Submitting a TensorFlow training ([tf.train][tf-train]) job.
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* Using the model for prediction (inference):
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Diff for: content/docs/notebooks/setup.md

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## Experiment with your notebook
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The default notebook image includes all the plugins that you need to train a
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Tensorflow model with Jupyter, including
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TensorFlow model with Jupyter, including
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[Tensorboard](https://www.tensorflow.org/get_started/summaries_and_tensorboard)
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for rich visualizations and insights into your model.
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Diff for: content/docs/other-guides/troubleshooting.md

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## Problems spawning Jupyter pods
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If you're having trouble spawning jupyter notebooks, check that the pod is getting
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If you're having trouble spawning Jupyter notebooks, check that the pod is getting
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```
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## OpenShift
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If you are deploying Kubeflow in an [OpenShift](https://github.com/openshift/origin) environment which encapsulates Kubernetes, you will need to adjust the security contexts for the ambassador and jupyter-hub deployments in order to get the pods to run.
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If you are deploying Kubeflow in an [OpenShift](https://github.com/openshift/origin) environment which encapsulates Kubernetes, you will need to adjust the security contexts for the ambassador and Jupyter-hub deployments in order to get the pods to run.
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oc adm policy add-scc-to-user anyuid -z ambassador
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## 403 API rate limit exceeded error
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Because ksonnet uses Github to pull kubeflow, unless user specifies Github API token, it will quickly consume maximum API call quota for anonymous.
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To fix this issue first create Github API token using this [guide](https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/), and assign this token to GITHUB_TOKEN environment variable.
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Because ksonnet uses GitHub to pull kubeflow, unless user specifies GitHub API token, it will quickly consume maximum API call quota for anonymous.
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To fix this issue first create GitHub API token using this [guide](https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/), and assign this token to GITHUB_TOKEN environment variable.
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```commandline
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export GITHUB_TOKEN=<< token >>

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