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Rick Lan
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Fixes #50 
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‎README.md

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@@ -29,8 +29,8 @@ If you are reading this page from [Docker Hub](https://hub.docker.com/r/wqael/no
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| Tag | Comment | Dockerfile | Info |
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| ----- | ------- | ---------- | ---- |
32-
| `latest` | CPU-only. Jupyter. PyTorch 1.4, Keras, TF 1.15.0. | [Dockerfile](docker/latest/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:latest.svg)](https://microbadger.com/images/wqael/notebooks:latest) |
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| `latest-gpu` | CUDA 10.1. Jupyter. PyTorch 1.4, Keras, TF 1.15.0. | [Dockerfile](docker/latest-gpu/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:latest-gpu.svg)](https://microbadger.com/images/wqael/notebooks:latest-gpu) |
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| `latest` | CPU-only. Jupyter. PyTorch 1.4, Keras, TF 1.15.2. | [Dockerfile](docker/latest/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:latest.svg)](https://microbadger.com/images/wqael/notebooks:latest) |
33+
| `latest-gpu` | CUDA 10.1. Jupyter. PyTorch 1.4, Keras, TF 1.15.2. | [Dockerfile](docker/latest-gpu/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:latest-gpu.svg)](https://microbadger.com/images/wqael/notebooks:latest-gpu) |
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### [Caffe](https://caffe2.ai/)
@@ -68,8 +68,8 @@ If you are reading this page from [Docker Hub](https://hub.docker.com/r/wqael/no
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| `tf2.1.0` | CPU-only | [Dockerfile](docker/tf2.1.0/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:tf2.1.0.svg)](https://microbadger.com/images/wqael/notebooks:tf2.1.0) |
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| `tf2.1.0-cuda101` | Nvidia Driver >= 418.xx | [Dockerfile](docker/tf2.1.0-cuda101/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:tf2.1.0-cuda101.svg)](https://microbadger.com/images/wqael/notebooks:tf2.1.0-cuda101) |
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| `tf2.0.0-cuda10` | Nvidia Driver >= 410.xx | [Dockerfile](docker/tf2.0.0-cuda10/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:tf2.0.0-cuda10.svg)](https://microbadger.com/images/wqael/notebooks:tf2.0.0-cuda10) |
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| `tf1.15.0` | CPU-only | [Dockerfile](docker/tf1.15.0/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:tf1.15.0.svg)](https://microbadger.com/images/wqael/notebooks:tf1.15.0) |
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| `tf1.15.0-cuda10` | Nvidia Driver >= 410.xx | [Dockerfile](docker/tf1.15.0-cuda10/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:tf1.15.0-cuda10.svg)](https://microbadger.com/images/wqael/notebooks:tf1.15.0-cuda10) |
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| `tf1.15.2` | CPU-only | [Dockerfile](docker/tf1.15.2/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:tf1.15.2.svg)](https://microbadger.com/images/wqael/notebooks:tf1.15.2) |
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| `tf1.15.2-cuda10` | Nvidia Driver >= 410.xx | [Dockerfile](docker/tf1.15.2-cuda10/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:tf1.15.2-cuda10.svg)](https://microbadger.com/images/wqael/notebooks:tf1.15.2-cuda10) |
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| `jupyter-keras-tf1.12.3-py3-cuda9` | Nvidia Driver >= 384.xx | [Dockerfile](docker/jupyter-keras-tf1.12.3-py3-cuda9/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:jupyter-keras-tf1.12.3-py3-cuda9.svg)](https://microbadger.com/images/wqael/notebooks:jupyter-keras-tf1.12.3-py3-cuda9) |
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| `jupyter-keras-tf1.4.1-py3-cuda8` | Nvidia Driver >= 375.xx | [Dockerfile](docker/jupyter-keras-tf1.4.1-py3-cuda8/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:jupyter-keras-tf1.4.1-py3-cuda8.svg)](https://microbadger.com/images/wqael/notebooks:jupyter-keras-tf1.4.1-py3-cuda8) |
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‎deprecated/deprecated.md

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| `tf2.0.0` | CPU-only | [Dockerfile](tf2.0.0/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:tf2.0.0.svg)](https://microbadger.com/images/wqael/notebooks:tf2.0.0) |
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| `tf2` | CPU. Jupyter. TF 2.0 beta1. | [Dockerfile](tf2/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:tf2.svg) ![](https://images.microbadger.com/badges/commit/wqael/notebooks:tf2.svg)](https://microbadger.com/images/wqael/notebooks:tf2) |
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| `tf2-gpu` | CUDA 9. Jupyter. TF 2.0 beta1. | [Dockerfile](tf2-gpu/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:tf2-gpu.svg) ![](https://images.microbadger.com/badges/commit/wqael/notebooks:tf2-gpu.svg)](https://microbadger.com/images/wqael/notebooks:tf2-gpu) |
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| `tf1.15.0` | CPU-only | [Dockerfile](tf1.15.0/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:tf1.15.0.svg)](https://microbadger.com/images/wqael/notebooks:tf1.15.0) |
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| `tf1.15.0-cuda10` | Nvidia Driver >= 410.xx | [Dockerfile](tf1.15.0-cuda10/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:tf1.15.0-cuda10.svg)](https://microbadger.com/images/wqael/notebooks:tf1.15.0-cuda10) |
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| `jupyter-keras-tf1.14.0-py3` | CPU-only | [Dockerfile](jupyter-keras-tf1.14.0-py3/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:jupyter-keras-tf1.14.0-py3.svg)](https://microbadger.com/images/wqael/notebooks:jupyter-keras-tf1.14.0-py3) |
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| `jupyter-keras-tf1.14.0-py3-cuda10` | Nvidia Driver >= 410.xx | [Dockerfile](jupyter-keras-tf1.14.0-py3-cuda10/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:jupyter-keras-tf1.14.0-py3-cuda10.svg)](https://microbadger.com/images/wqael/notebooks:jupyter-keras-tf1.14.0-py3-cuda10) |
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| `jupyter-keras-tf1.13.1-py3` | CPU-only | [Dockerfile](jupyter-keras-tf1.13.1-py3/Dockerfile) | [![](https://images.microbadger.com/badges/image/wqael/notebooks:jupyter-keras-tf1.13.1-py3.svg) ![](https://images.microbadger.com/badges/commit/wqael/notebooks:jupyter-keras-tf1.13.1-py3.svg)](https://microbadger.com/images/wqael/notebooks:jupyter-keras-tf1.13.1-py3) |

‎docker/tf1.15.0-cuda10/Dockerfile renamed to ‎deprecated/tf1.15.0-cuda10/Dockerfile

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‎docker/tf1.15.0-cuda10/hooks/build renamed to ‎deprecated/tf1.15.0-cuda10/hooks/build

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‎docker/tf1.15.0-cuda10/jupyter_notebook_config.py renamed to ‎deprecated/tf1.15.0-cuda10/jupyter_notebook_config.py

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‎docker/tf1.15.0-cuda10/run_jupyter.sh renamed to ‎deprecated/tf1.15.0-cuda10/run_jupyter.sh

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‎docker/tf1.15.0/Dockerfile renamed to ‎deprecated/tf1.15.0/Dockerfile

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‎docker/tf1.15.0/hooks/build renamed to ‎deprecated/tf1.15.0/hooks/build

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‎docker/tf1.15.0/jupyter_notebook_config.py renamed to ‎deprecated/tf1.15.0/jupyter_notebook_config.py

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‎docker/tf1.15.0/run_jupyter.sh renamed to ‎deprecated/tf1.15.0/run_jupyter.sh

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‎docker/latest-gpu/Dockerfile

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FROM wqael/mldock:latest-gpu
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LABEL description="PyTorch 1.4 / Keras 2.3.1 / TensorFlow 1.15.0 / Python 3.5 / Nvidia CUDA 10.1 / Ubuntu 16.04" \
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LABEL description="PyTorch 1.4 / Keras 2.3.1 / TensorFlow 1.15.2 / Python 3.5 / Nvidia CUDA 10.1 / Ubuntu 16.04" \
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maintainer="https://github.com/rlan/notebooks"
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‎docker/latest/Dockerfile

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FROM wqael/mldock:latest
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LABEL description="PyTorch 1.4 / Keras 2.3.1 / tensorflow/tensorflow:1.15.0-py3 (Python 3.6.8 / Ubuntu 16.04.5 LTS)" \
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LABEL description="PyTorch 1.4 / Keras 2.3.1 / tensorflow/tensorflow:1.15.2-py3 (Python 3.6.8 / Ubuntu 16.04.5 LTS)" \
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maintainer="https://github.com/rlan/notebooks"
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‎docker/tf1.15.2-cuda10/Dockerfile

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FROM tensorflow/tensorflow:1.15.2-gpu-py3
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LABEL description="Jupyter / Keras 2.3.1 / Tensorflow 1.15.2 / CUDA 10.0.130 / Python 3 / Ubuntu 16.04" \
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maintainer="https://github.com/rlan/notebooks"
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# Build-time metadata as defined at http://label-schema.org
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ARG BUILD_DATE
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ARG VCS_REF
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ARG VERSION
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LABEL org.label-schema.build-date=$BUILD_DATE \
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org.label-schema.vcs-ref=$VCS_REF \
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org.label-schema.vcs-url="https://github.com/rlan/notebooks" \
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org.label-schema.version=$VERSION \
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org.label-schema.schema-version="1.0"
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# Avoid configuring tzdata
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ARG DEBIAN_FRONTEND=noninteractive
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RUN apt-get -qq update \
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&& apt-get -qq install -y --no-install-recommends \
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graphviz \
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libhdf5-dev \
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python3-pandas \
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&& apt-get -qq clean \
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&& rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
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RUN pip --no-cache-dir install -q --upgrade \
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pip \
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setuptools \
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wheel
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RUN pip --no-cache-dir install -q --upgrade \
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h5py \
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jupyterlab \
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keras \
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matplotlib \
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opencv-python-headless \
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pillow \
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pydot \
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pyyaml \
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scikit-learn \
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scikit-image \
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seaborn
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# Set up our notebook config.
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COPY jupyter_notebook_config.py /root/.jupyter/
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# Jupyter has issues with being run directly:
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# https://github.com/ipython/ipython/issues/7062
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# We just add a little wrapper script.
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COPY run_jupyter.sh /
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# TensorBoard
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EXPOSE 6006
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# IPython
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EXPOSE 8888
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WORKDIR /notebooks
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CMD ["/run_jupyter.sh", "--allow-root"]

‎docker/tf1.15.2-cuda10/hooks/build

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#!/bin/bash
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# $IMAGE_NAME var is injected into the build so the tag is correct.
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docker build --build-arg VCS_REF=`git rev-parse --short HEAD` \
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--build-arg BUILD_DATE=`date -u +”%Y-%m-%dT%H:%M:%SZ”` \
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-t $IMAGE_NAME .

‎docker/tf1.15.2-cuda10/jupyter_notebook_config.py

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import os
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from IPython.lib import passwd
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c = c # pylint:disable=undefined-variable
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c.NotebookApp.ip = '0.0.0.0'
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c.NotebookApp.port = int(os.getenv('PORT', 8888))
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c.NotebookApp.open_browser = False
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# sets a password if PASSWORD is set in the environment
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if 'PASSWORD' in os.environ:
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password = os.environ['PASSWORD']
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if password:
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c.NotebookApp.password = passwd(password)
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else:
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c.NotebookApp.password = ''
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c.NotebookApp.token = ''
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del os.environ['PASSWORD']
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‎docker/tf1.15.2-cuda10/run_jupyter.sh

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#!/bin/bash
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jupyter notebook "$@"

‎docker/tf1.15.2/Dockerfile

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FROM tensorflow/tensorflow:1.15.2-py3
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LABEL description="Jupyter / Keras 2.3.1 / Tensorflow 1.15.2 / Python 3 / Ubuntu 16.04" \
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maintainer="https://github.com/rlan/notebooks"
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# Build-time metadata as defined at http://label-schema.org
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ARG BUILD_DATE
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ARG VCS_REF
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ARG VERSION
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LABEL org.label-schema.build-date=$BUILD_DATE \
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org.label-schema.vcs-ref=$VCS_REF \
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org.label-schema.vcs-url="https://github.com/rlan/notebooks" \
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org.label-schema.version=$VERSION \
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org.label-schema.schema-version="1.0"
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# Avoid configuring tzdata
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ARG DEBIAN_FRONTEND=noninteractive
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RUN apt-get -qq update \
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&& apt-get -qq install -y --no-install-recommends \
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graphviz \
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libhdf5-dev \
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python3-pandas \
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&& apt-get -qq clean \
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&& rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
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RUN pip --no-cache-dir install -q --upgrade \
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pip \
29+
setuptools \
30+
wheel
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RUN pip --no-cache-dir install -q --upgrade \
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h5py \
33+
jupyterlab \
34+
keras \
35+
matplotlib \
36+
opencv-python-headless \
37+
pillow \
38+
pydot \
39+
pyyaml \
40+
scikit-learn \
41+
scikit-image \
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seaborn
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# Set up our notebook config.
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COPY jupyter_notebook_config.py /root/.jupyter/
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# Jupyter has issues with being run directly:
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# https://github.com/ipython/ipython/issues/7062
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# We just add a little wrapper script.
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COPY run_jupyter.sh /
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# TensorBoard
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EXPOSE 6006
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# IPython
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EXPOSE 8888
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WORKDIR /notebooks
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CMD ["/run_jupyter.sh", "--allow-root"]

‎docker/tf1.15.2/hooks/build

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#!/bin/bash
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# $IMAGE_NAME var is injected into the build so the tag is correct.
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docker build --build-arg VCS_REF=`git rev-parse --short HEAD` \
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--build-arg BUILD_DATE=`date -u +”%Y-%m-%dT%H:%M:%SZ”` \
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-t $IMAGE_NAME .

‎docker/tf1.15.2/jupyter_notebook_config.py

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import os
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from IPython.lib import passwd
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c = c # pylint:disable=undefined-variable
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c.NotebookApp.ip = '0.0.0.0'
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c.NotebookApp.port = int(os.getenv('PORT', 8888))
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c.NotebookApp.open_browser = False
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# sets a password if PASSWORD is set in the environment
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if 'PASSWORD' in os.environ:
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password = os.environ['PASSWORD']
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if password:
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c.NotebookApp.password = passwd(password)
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else:
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c.NotebookApp.password = ''
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c.NotebookApp.token = ''
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del os.environ['PASSWORD']
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‎docker/tf1.15.2/run_jupyter.sh

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#!/bin/bash
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jupyter notebook "$@"

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