skynet/docker/Dockerfile.runtime+cuda-py312

from nvidia/cuda:12.4.1-devel-ubuntu22.04

env DEBIAN_FRONTEND=noninteractive

run apt-get update && apt-get install -y \
    git \
    curl \
    libgl1 \
    libglib2.0-0 \
    libglu1-mesa \
    libgl1-mesa-glx

env PATH="/opt/uv:$PATH"

arg USER_ID=1000
arg GROUP_ID=1000

run groupadd -g $GROUP_ID skynet \
    && useradd -l -u $USER_ID -g skynet -s /bin/bash skynet \
    && mkdir -p /home/skynet \
    && chown -R skynet:skynet /home/skynet

run curl -LsSf https://astral.sh/uv/install.sh | env UV_UNMANAGED_INSTALL="/opt/uv" sh

run chown -R skynet:skynet /opt/uv

run ls /opt/uv -lah

user skynet

workdir /home/skynet

run uv venv --python 3.12

workdir /home/skynet/target

env PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:128
env NVIDIA_VISIBLE_DEVICES=all

copy docker/entrypoint.sh /entrypoint.sh
entrypoint ["/entrypoint.sh"]

cmd ["skynet", "--help"]