Add Kaggle notebook Dockerfile

components/contrib/kaggle-notebook-image/Dockerfile

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+# Copyright (c) Jupyter Development Team.
+# Distributed under the terms of the Modified BSD License.
+
+# use basic syntax for now
+FROM gcr.io/kaggle-images/python:latest
+
+USER root
+
+ENV DEBIAN_FRONTEND noninteractive
+
+ENV NB_USER jovyan
+ENV NB_UID 1000
+ENV HOME /home/$NB_USER
+# We prefer to have a global conda install
+# to minimize the amount of content in $HOME
+ENV CONDA_DIR=/opt/conda
+ENV PATH $CONDA_DIR/bin:$PATH
+
+# Use bash instead of sh
+SHELL ["/bin/bash", "-c"]
+
+# add https support 
+RUN apt-get update && apt-get install -yq --no-install-recommends apt-transport-https
+
+RUN echo "en_US.UTF-8 UTF-8" > /etc/locale.gen && \
+    locale-gen
+
+ENV LC_ALL en_US.UTF-8
+ENV LANG en_US.UTF-8
+ENV LANGUAGE en_US.UTF-8
+
+# Create jovyan user with UID=1000 and in the 'users' group
+# but allow for non-initial launches of the notebook to have
+# $HOME provided by the contents of a PV
+RUN useradd -M -s /bin/bash -N -u $NB_UID $NB_USER && \
+    chown -R ${NB_USER}:users /usr/local/bin && \
+    mkdir -p $HOME
+
+RUN export CLOUD_SDK_REPO="cloud-sdk-$(lsb_release -c -s)" && \
+    echo "deb https://packages.cloud.google.com/apt $CLOUD_SDK_REPO main" > /etc/apt/sources.list.d/google-cloud-sdk.list && \
+    curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | apt-key add - && \
+    apt-get update && \
+    apt-get install -y google-cloud-sdk kubectl && \
+    # pin to 0.8.1 due to conflicts with tornado>=5.x and pyzmq>=17.x
+    # we just really need jupyterhub-singleuser for our KF scripts
+    pip install jupyterhub==0.8.1
+
+# Install Tini - used as entrypoint for container
+RUN cd /tmp && \
+    wget --quiet https://github.com/krallin/tini/releases/download/v0.10.0/tini && \
+    echo "1361527f39190a7338a0b434bd8c88ff7233ce7b9a4876f3315c22fce7eca1b0 *tini" | sha256sum -c - && \
+    mv tini /usr/local/bin/tini && \
+    chmod +x /usr/local/bin/tini
+
+RUN chown -R ${NB_USER}:users $HOME
+
+ENV GITHUB_REF https://raw.githubusercontent.com/kubeflow/kubeflow/master/components/tensorflow-notebook-image
+
+ADD --chown=jovyan:users $GITHUB_REF/jupyter_notebook_config.py /tmp
+
+# Wipe $HOME for PVC detection later
+WORKDIR $HOME
+RUN rm -fr $(ls -A $HOME)
+
+# Get init scripts from kubeflow 
+ADD --chown=jovyan:users \
+    $GITHUB_REF/start-singleuser.sh \
+    $GITHUB_REF/start-notebook.sh \
+    $GITHUB_REF/start.sh \
+    $GITHUB_REF/pvc-check.sh \
+    /usr/local/bin/
+
+RUN chmod a+rx /usr/local/bin/*
+
+# Configure container startup
+EXPOSE 8888
+ENTRYPOINT ["tini", "--"]
+CMD ["start-notebook.sh"]

components/contrib/kaggle-notebook-image/README.md

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+# Kaggle notebook
+
+This Dockerfile builds an image that is derived from the latest [Kaggle python image](gcr.io/kaggle-images/pythoni:latest) but which is compatible for launching from the Kubeflow JupyterHub. [Kaggle](https://www.kaggle.com/) is the home of data science collaboration and competition.
+
+Important notes:
+* this notebook is not curated by the Kubeflow project and is not regularly tested
+* the versions of TensorFlow, PyTorch, and the other libraries included may change at any time
+* this is a very large notebook, over 21 Gb in size. Since our notebook uses the latest Kaggle image, docker pulls (and notebook launches) can take a lengthy period of time.
+* the base image size for docker devicemapper is 10 Gb, which won't be large enough to run this image. Your docker daemon must be configured for at least 30 Gb (`-storage-opt dm.basesize=30G`) or use a storage driver like overlay2. 
+* the Kaggle image includes TensorFlow 1.9 or greater built with AVX2 support, so the image may not run on older CPU
+* the other Kubeflow curated notebooks have the feature that the jovyan user is able to install new packages from pip or conda. Unfortunately this is not the case with the Kaggle image due to the impact on the image size due to adding a new ownership layer.
+
+To build the image run:
+```
+docker build --pull -t kubeflow-kaggle-notebook:latest .
+```
+Of course specify whatever repo and image tag you need for your purposes.