Modified to use jupyter lab

TF-dockerfile

# Copyright 2018 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
# below. Please refer to the the TensorFlow dockerfiles documentation for
# more information. Build args are documented as their default value.
#
# Ubuntu-based, Nvidia-GPU-enabled environment for using TensorFlow, with Jupyter included.
#
# NVIDIA with CUDA and CuDNN, no dev stuff
# --build-arg UBUNTU_VERSION=16.04
#    ( no description )
#
# Python is required for TensorFlow and other libraries.
# --build-arg USE_PYTHON_3_NOT_2=True
#    Install python 3 over Python 2
#
# Install the TensorFlow Python package.
# --build-arg TF_PACKAGE=tensorflow-gpu (tensorflow|tensorflow-gpu|tf-nightly|tf-nightly-gpu)
#    The specific TensorFlow Python package to install
#
# Configure TensorFlow's shell prompt and login tools.
#
# Launch Jupyter on execution instead of a bash prompt.

FROM nvidia/cuda:9.0-base-ubuntu16.04

# Pick up some TF dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
        build-essential \
        cuda-command-line-tools-9-0 \
        cuda-cublas-9-0 \
        cuda-cufft-9-0 \
        cuda-curand-9-0 \
        cuda-cusolver-9-0 \
        cuda-cusparse-9-0 \
        libcudnn7=7.1.4.18-1+cuda9.0 \
        libnccl2=2.2.13-1+cuda9.0 \
        libfreetype6-dev \
        libhdf5-serial-dev \
        libpng12-dev \
        libzmq3-dev \
        pkg-config \
        apt-utils \
        wget \
        software-properties-common \
        unzip \
        && \
    apt-get clean && \
    rm -rf /var/lib/apt/lists/*
  
RUN apt-get update && apt-get install -y \
        git-core \
        tree 
        
RUN apt-get install --yes curl
RUN curl --silent --location https://deb.nodesource.com/setup_6.x | bash -
RUN apt-get install --yes nodejs
RUN apt-get install --yes build-essential

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

RUN apt-get update && apt-get install -y \
    ${PYTHON} \
    ${PYTHON}-pip \ 
    python3-tk

RUN ${PIP} install --upgrade \
    pip \
    setuptools
    
RUN apt-get update && apt-get install -y \
        python-pydot \
        python-pydot-ng \
        graphviz 

ARG TF_PACKAGE=tensorflow-gpu
RUN ${PIP} install ${TF_PACKAGE}

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

RUN ${PIP} install \
    jupyter \
    jupyterlab \
    gputil \
    seaborn \
    xlrd \
    bokeh
    
RUN ${PIP} install --no-deps \
    saliency

RUN ${PIP} install --pre ipywidgets
RUN jupyter labextension install @jupyter-widgets/jupyterlab-manager
RUN jupyter labextension install jupyterlab_bokeh
RUN jupyter lab clean && jupyter lab build

RUN mkdir /work_dir && chmod a+rwx /work_dir
RUN mkdir /.local && chmod a+rwx /.local

COPY work_dir/script/__pycache__/* /work_dir/script/
COPY work_dir/columns.xlsx /work_dir/columns.xlsx

WORKDIR /work_dir
EXPOSE 9875

CMD ["bash", "-c", "source /etc/bash.bashrc && jupyter lab --notebook-dir=/work_dir --ip 0.0.0.0 --no-browser --allow-root --port=9875"]