# Use an existing image as the base
# FROM nvcr.io/nvidia/pytorch:23.04-py3
# FROM pytorch/pytorch:1.13.1-cuda11.6-cudnn8-devel
FROM pytorch/pytorch:2.0.1-cuda11.7-cudnn8-devel
# 
# Add the current user to the image
ARG USER_NAME=lhunor
ARG USER_ID=11017
ARG GROUP_NAME=guest
ARG GROUP_ID=11000

# Update the system and install required packages
RUN apt-get update && apt-get install -y sudo git apt-utils htop

# Create a new group with the same GID as the host
RUN groupadd --gid $GROUP_ID $GROUP_NAME

# Create a new user with the same UID and GID as the host
RUN useradd --uid $USER_ID --gid $GROUP_ID --shell /bin/bash --create-home $USER_NAME

# don't require password with sudo, for convenience
# not the safest thing to do, but hopefully okay inside the container
RUN echo '%sudo ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers

# Add the new user to the sudo group
RUN usermod -aG sudo $USER_NAME

# install conda stuff still as root
RUN conda update -n base conda
RUN conda install -c fvcore -c iopath -c conda-forge fvcore iopath -y
RUN conda install -c bottler nvidiacub -y
RUN conda install pytorch3d -c pytorch3d -y

# Set the default user to the new user
USER $USER_NAME

WORKDIR /workspace

ENV PATH="$PATH:/home/$USER_NAME/.local/bin"
RUN pip install --upgrade pip
COPY requirements.txt /tmp/
RUN pip install torch-cluster -f https://data.pyg.org/whl/torch-2.0.0+cu117.html
RUN pip install --requirement /tmp/requirements.txt


# defining the volumes that will be mounted
VOLUME [ "/data-net" ]
VOLUME [ "/data-local" ]
VOLUME [ "/home-net" ]

# Start the container with a bash shell
CMD ["/bin/bash"]