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Dockerfile
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# ==================================================================
# module list
# ------------------------------------------------------------------
# python 3.8 (apt)
# jupyter latest (pip)
# pytorch latest (pip)
# tensorflow latest (pip)
# jupyterlab latest (pip)
# keras latest (pip)
# ==================================================================
FROM ubuntu:20.04
ENV LANG C.UTF-8
RUN APT_INSTALL="apt-get install -y --no-install-recommends" && \
PIP_INSTALL="python -m pip --no-cache-dir install --upgrade" && \
GIT_CLONE="git clone --depth 10" && \
rm -rf /var/lib/apt/lists/* \
/etc/apt/sources.list.d/cuda.list \
/etc/apt/sources.list.d/nvidia-ml.list && \
apt-get update && \
# ==================================================================
# tools
# ------------------------------------------------------------------
DEBIAN_FRONTEND=noninteractive $APT_INSTALL \
build-essential \
apt-utils \
ca-certificates \
wget \
git \
vim \
libssl-dev \
curl \
unzip \
unrar \
cmake \
xdot \
&& \
# ==================================================================
# python
# ------------------------------------------------------------------
DEBIAN_FRONTEND=noninteractive $APT_INSTALL \
software-properties-common \
&& \
add-apt-repository ppa:deadsnakes/ppa && \
apt-get update && \
DEBIAN_FRONTEND=noninteractive $APT_INSTALL \
python3.8 \
python3.8-dev \
python3-distutils \
&& \
wget -O ~/get-pip.py \
https://bootstrap.pypa.io/get-pip.py && \
python3.8 ~/get-pip.py && \
ln -s /usr/bin/python3.8 /usr/local/bin/python3 && \
ln -s /usr/bin/python3.8 /usr/local/bin/python && \
$PIP_INSTALL \
setuptools \
&& \
$PIP_INSTALL \
numpy \
scipy \
pandas \
cloudpickle \
scikit-image>=0.14.2 \
scikit-learn \
matplotlib \
Cython \
tqdm \
&& \
# ==================================================================
# jupyter
# ------------------------------------------------------------------
$PIP_INSTALL \
jupyter \
&& \
# ==================================================================
# pytorch
# ------------------------------------------------------------------
$PIP_INSTALL \
future \
numpy \
protobuf \
enum34 \
pyyaml \
typing \
&& \
$PIP_INSTALL \
--pre torch torchvision torchaudio -f \
https://download.pytorch.org/whl/nightly/cu116/torch_nightly.html \
&& \
# ==================================================================
# tensorflow
# ------------------------------------------------------------------
$PIP_INSTALL \
tensorflow \
&& \
# ==================================================================
# jupyterlab
# ------------------------------------------------------------------
$PIP_INSTALL \
jupyterlab \
&& \
# ==================================================================
# keras
# ------------------------------------------------------------------
# Now Keras comes packaged with TensorFlow 2
# as tensorflow.keras. To start using Keras,
# simply install TensorFlow 2.
# ==================================================================
# config & cleanup
# ------------------------------------------------------------------
ldconfig && \
apt-get clean && \
apt-get autoremove && \
rm -rf /var/lib/apt/lists/* /tmp/* ~/*
## Others
RUN python -m pip --default-timeout=300 --no-cache-dir install --upgrade \
openpyxl seaborn dask[complete] umap-learn ipywidgets tensorflow_addons \
pydot nodejs git+https://github.com/IDSIA/[email protected]
COPY requirements.txt /
RUN cd / \
&& python -m pip --default-timeout=300 --no-cache-dir install --upgrade \
--requirement requirements.txt \
&& rm /requirements.txt