container.def

Bootstrap: docker
From: ubuntu:latest

# vim: ft=sh

# Description of this container.
%help
    This is a basic singularity image for general python execution with a focus on deep learning.
    To build this container from your workstation at Inria, use:
        sudo singularity build container.sif container.def


# Metadata for this container
%labels
    Author gaetan.lepage@inria.fr
    Version v0.1.0


# List of host files to be copied inside the container.
%files
    # You can specify a single path.
    # In this case, the file will be copied to the same path from / in the container
    # Example:
    #   foo/bar/hello.txt
    # will copy `foo/bar/hello.txt` to `/foo/bar/hello.txt` in the container.

    # You may also specify the location in the container
    # Example:
    #   foo/bar/hello.txt   /bonjour
    # will copy `foo/bar/hello.txt` to `/bonjour/hello.txt` in the container.
    requirements.txt


# The `%environment` section allows you to define environment variables that will be set at runtime.
# Note that these variables are not made available at build time by their inclusion in the
# `%environment` section.
# This means that if you need the same variables during the build process, you should also define
# them in your `%post` section.
%environment
    export PYTHONPATH=.


# This section is where we download files from the internet with tools like git and wget, install
# new software and libraries, write configuration files, create new directories, etc.
%post
    export DEBIAN_FRONTEND="noninteractive"
    export TZ="Europe/Paris"

    # Update Ubuntu apt repository
    apt-get update

    # Upgrade packages
    apt-get upgrade -y

    # Install apt packages
    alias apt_install="apt-get install -y --no-install-recommends"

    ##########
    # PYTHON #######################################################################################
    ##########

    # Secify the version of python you want to install
    PYTHON_VERSION='3.9'

    PYTHON=python${PYTHON_VERSION}
    VERSION_NUMBER=$(echo $PYTHON_VERSION | cut -d '.' -f 2)

    # Needed for older versions of python (<3.10)
    if [ $VERSION_NUMBER -lt 10 ]; then
    # if true; then
        apt_install software-properties-common gpg-agent
        add-apt-repository ppa:deadsnakes/ppa
        apt update -y
    fi

    apt_install curl                    # To download `get-pip.py` from the internet
    apt_install ca-certificates         # Required by `curl`
    apt_install $PYTHON                 # The specified version of Python
    apt_install ${PYTHON}-dev           # Header files, a static library and development tools for
                                        # building Python modules and more.
    apt_install ${PYTHON}-distutils     # Support for building and installing additional Python
                                        # modules

    # Set the default python
    ln -sf /usr/bin/$PYTHON /usr/bin/python3
    ln -sf /usr/bin/python3 /usr/bin/python

    # Install pip
    curl https://bootstrap.pypa.io/get-pip.py -o /tmp/get-pip.py
    python /tmp/get-pip.py

    # Install some pip packages
    alias pip_install="python -m pip install"

    pip_install -U pip setuptools

    ################
    # APT packages #################################################################################
    ################

    # >>> Here you can install your apt packages
    # For example,
    #   apt_install cmake
    #   apt_install nvidia-cuda-toolkit
    #   apt_install sox time gcc
    apt_install git
    apt_install gcc g++
    apt_install libglib2.0-0 libsm6 libxrender1 libxext6
    apt_install cmake make
    apt_install protobuf-compiler libprotobuf-dev


    ###################
    # Python packages ##############################################################################
    ###################

    # >>> Here you can install your python packages
    # For example,
    #   pip_install torch
    #   pip_install numpy
    # Install other projects requirements

    pip_install torch
    pip_install -r /requirements.txt

    mkdir -p /usr/nltk_data
    python -c "import nltk; nltk.download('punkt', download_dir='/usr/nltk_data')"