Dockerfile_conda

# start with pytorch image
FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel
# RUN rm /bin/sh && ln -s /bin/bash /bin/sh

ENV DEBIAN_FRONTEND noninteractive


# generic install
RUN apt-get update && \
    apt-get install -y \
    python3.8 python3.8-dev python3-pip\
    gfortran \
    less \
    apt-transport-https \
    git\
    ssh \
    tar

# Create and activate conda environment
RUN conda create python=3.8 --name lips
SHELL ["conda", "run", "-n", "lips", "/bin/bash", "-c"]

# Install LIPS package and dependencies
# Only copy needed elements
COPY setup.* /LIPS/.
COPY requirements* /LIPS/.
COPY MANIFEST.in /LIPS/.
COPY LICENSE /LIPS/.
COPY README.md /LIPS/.
COPY configurations /LIPS/.
COPY lips /LIPS/lips


WORKDIR /LIPS
RUN pip install -U --no-cache-dir .[codabench]

RUN mkdir /opt/conda/envs/lips/lib/python3.8/site-packages/lips/config/benchmarks
COPY configurations/powergrid/benchmarks/*.ini /opt/conda/envs/lips/lib/python3.8/site-packages/lips/config/benchmarks/.

## check python version
RUN python --version

## activate conda env
RUN echo "source activate lips" > ~/.bashrc
ENV PATH /opt/conda/envs/lips/bin:$PATH

ENV LIPS_HOME=/LIPS

WORKDIR /

# Env variables for CUDA / GPUs 
ENV NVIDIA_VISIBLE_DEVICES=all