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Dockerfile
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ARG DEPS=development
ARG NVIDIA_30XX=false
FROM nvidia/cuda:11.1-base AS base-default
ARG DEBIAN_FRONTEND=noninteractive
RUN apt-get update && apt-get install --no-install-recommends --no-install-suggests -y \
build-essential libgeos-dev liblzma-dev libssl-dev libbz2-dev curl vim python3.8-dev python-dev git libffi-dev \
libglib2.0-0 libsm6 libxext6 libblas-dev libatlas-base-dev ffmpeg \
&& rm -rf /var/lib/apt/lists/*
# install pyenv
ENV PYENV_ROOT=$HOME/.pyenv
ENV PATH $PYENV_ROOT/shims:$PYENV_ROOT/bin:$PATH
RUN curl -L https://github.com/pyenv/pyenv-installer/raw/master/bin/pyenv-installer | bash
RUN echo 'eval "$(pyenv init -)"' >> $HOME/.bashrc
# install python version specified in the .python-version file
COPY .python-version .
RUN PYTHON_VERSION=$(cat .python-version) pyenv install $PYTHON_VERSION && pyenv global $PYTHON_VERSION && pyenv rehash
# install poetry and our package
ENV POETRY_NO_INTERACTION=1\
# send python output directory to stdout
PYTHONUNBUFFERED=1\
PIP_NO_CACHE_DIR=off\
PIP_DISABLE_PIP_VERSION_CHECK=on\
PIP_DEFAULT_TIMEOUT=100\
POETRY_HOME="/opt/poetry"\
VENV_PATH="/opt/pysetup/.venv"\
# install poetry and our package
ENV POETRY_NO_INTERACTION=1 \
# send python output directory to stdout
PYTHONUNBUFFERED=1 \
PIP_NO_CACHE_DIR=off \
PIP_DISABLE_PIP_VERSION_CHECK=on \
PIP_DEFAULT_TIMEOUT=100
ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH" POETRY_VERSION=1.1.8
RUN mkdir $HOME/opt/ && \
curl -sSL https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py | python - &&\
poetry config virtualenvs.create false
WORKDIR /bindsnet
RUN mkdir bindsnet && touch bindsnet/__init__.py ## empty package for Poetry to add to path
COPY pyproject.toml poetry.lock README.md ./
FROM base-default AS base-production
RUN poetry install --no-dev # this will only install production dependencies
FROM base-default AS base-development
RUN poetry install
FROM base-${DEPS} AS nvidia-30xx-false
RUN rm -rf $HOME/.cache/pypoetry/artifacts # remove downloaded wheels
# a fix for NVIDIA 30xx GPUs
FROM installed AS nvidia-30xx-true
RUN python -m pip install torch==1.9.0+cu111 torchvision==0.10.0+cu111 -f https://download.pytorch.org/whl/torch_stable.html
FROM nvidia-30xx-${NVIDIA_30XX} AS final
COPY . .