tensorflow/tools/dockerfiles/dockerfiles/cpu-jupyter.Dockerfile

# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ============================================================================
#
# THIS IS A GENERATED DOCKERFILE.
#
# This file was assembled from multiple pieces, whose use is documented
# throughout. Please refer to the TensorFlow dockerfiles documentation
# for more information.

ARG UBUNTU_VERSION=18.04

FROM ubuntu:${UBUNTU_VERSION} as base

RUN apt-get update && apt-get install -y curl

ARG USE_PYTHON_3_NOT_2
ARG _PY_SUFFIX=${USE_PYTHON_3_NOT_2:+3}
ARG PYTHON=python${_PY_SUFFIX}
ARG PIP=pip${_PY_SUFFIX}

# See http://bugs.python.org/issue19846
ENV LANG C.UTF-8

RUN apt-get update && apt-get install -y \
    ${PYTHON} \
    ${PYTHON}-pip

RUN ${PIP} --no-cache-dir install --upgrade \
    pip \
    setuptools

# Some TF tools expect a "python" binary
RUN ln -s $(which ${PYTHON}) /usr/local/bin/python

# Options:
#   tensorflow
#   tensorflow-gpu
#   tf-nightly
#   tf-nightly-gpu
# Set --build-arg TF_PACKAGE_VERSION=1.11.0rc0 to install a specific version.
# Installs the latest version by default.
ARG TF_PACKAGE=tensorflow
ARG TF_PACKAGE_VERSION=
RUN ${PIP} install ${TF_PACKAGE}${TF_PACKAGE_VERSION:+==${TF_PACKAGE_VERSION}}

COPY bashrc /etc/bash.bashrc
RUN chmod a+rwx /etc/bash.bashrc

RUN ${PIP} install jupyter matplotlib
# https://github.com/ipython/ipykernel/issues/422
RUN test "${USE_PYTHON_3_NOT_2}" == "1" && ${PIP} install ipykernel==5.1.1 nbformat==4.4.0 || true
RUN ${PIP} install jupyter_http_over_ws
RUN jupyter serverextension enable --py jupyter_http_over_ws

RUN mkdir -p /tf/tensorflow-tutorials && chmod -R a+rwx /tf/
RUN mkdir /.local && chmod a+rwx /.local
RUN apt-get install -y --no-install-recommends wget
WORKDIR /tf/tensorflow-tutorials
RUN wget https://raw.githubusercontent.com/tensorflow/docs/master/site/en/tutorials/keras/classification.ipynb
RUN wget https://raw.githubusercontent.com/tensorflow/docs/master/site/en/tutorials/keras/overfit_and_underfit.ipynb
RUN wget https://raw.githubusercontent.com/tensorflow/docs/master/site/en/tutorials/keras/regression.ipynb
RUN wget https://raw.githubusercontent.com/tensorflow/docs/master/site/en/tutorials/keras/save_and_load.ipynb
RUN wget https://raw.githubusercontent.com/tensorflow/docs/master/site/en/tutorials/keras/text_classification.ipynb
RUN wget https://raw.githubusercontent.com/tensorflow/docs/master/site/en/tutorials/keras/text_classification_with_hub.ipynb
COPY readme-for-jupyter.md README.md
RUN apt-get autoremove -y && apt-get remove -y wget
WORKDIR /tf
EXPOSE 8888

RUN ${PYTHON} -m ipykernel.kernelspec

CMD ["bash", "-c", "source /etc/bash.bashrc && jupyter notebook --notebook-dir=/tf --ip 0.0.0.0 --no-browser --allow-root"]