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Dockerfile
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# Dockerfile may have following Arguments:
# tag - tag for the Base image, (e.g. 2.9.1 for tensorflow)
# branch - user repository branch to clone (default: master, another option: test)
# jlab - if to install JupyterLab (true) or not (false)
# oneclient_ver - version of oneclient to install (e.g. 19.02.0.rc2-1~bionic)
#
# To build the image:
# $ docker build -t <dockerhub_user>/<dockerhub_repo> --build-arg arg=value .
# or using default args:
# $ docker build -t <dockerhub_user>/<dockerhub_repo> .
#
# [!] Note: For the Jenkins CI/CD pipeline, input args are defined inside the
# Jenkinsfile, not here!
ARG tag=1.13.1-cuda11.6-cudnn8-runtime
# Base image, e.g. tensorflow/tensorflow:2.9.1
FROM pytorch/pytorch:${tag}
LABEL maintainer='Antoine Lebeaud'
LABEL version='0.1.0'
# What user branch to clone [!]
ARG branch=main
# Install Ubuntu packages
# - gcc is needed in Pytorch images because deepaas installation might break otherwise (see docs) (it is already installed in tensorflow images)
RUN DEBIAN_FRONTEND=noninteractive apt-get update && \
apt-get install -y --no-install-recommends \
gcc \
git \
libgl1\
curl \
libglib2.0-0\
&& rm -rf /var/lib/apt/lists/*
# Update python packages
# [!] Remember: DEEP API V2 only works with python>=3.6
RUN python3 --version && \
pip3 install --no-cache-dir --upgrade pip "setuptools<60.0.0" wheel
# TODO: remove setuptools version requirement when [1] is fixed
# [1]: https://github.com/pypa/setuptools/issues/3301
# Set LANG environment
ENV LANG C.UTF-8
# Set the working directory
WORKDIR /srv
# Install rclone (needed if syncing with NextCloud for training; otherwise remove)
RUN curl -O https://downloads.rclone.org/rclone-current-linux-amd64.deb && \
dpkg -i rclone-current-linux-amd64.deb && \
apt install -f && \
mkdir /srv/.rclone/ && \
touch /srv/.rclone/rclone.conf && \
rm rclone-current-linux-amd64.deb && \
rm -rf /var/lib/apt/lists/*
ENV RCLONE_CONFIG=/srv/.rclone/rclone.conf
# Disable FLAAT authentication by default
ENV DISABLE_AUTHENTICATION_AND_ASSUME_AUTHENTICATED_USER yes
# Initialization scripts
# deep-start can install JupyterLab or VSCode if requested
RUN git clone https://github.com/ai4os/deep-start /srv/.deep-start && \
ln -s /srv/.deep-start/deep-start.sh /usr/local/bin/deep-start
# Necessary for the Jupyter Lab terminal
ENV SHELL /bin/bash
# Install user app
RUN git clone --depth 1 -b $branch https://github.com/ai4os-hub/deep-species-detection.git && \
cd deep-species-detection && \
pip3 install --no-cache-dir -e . && \
cd ..
# Open ports (deepaas, monitoring, ide)
EXPOSE 5000 6006 8888
# Launch deepaas
CMD ["deepaas-run", "--listen-ip", "0.0.0.0", "--listen-port", "5000"]