ARG CUDA_VERSION
FROM nvidia/cuda:$CUDA_VERSION-devel-ubuntu18.04

# Environment
ENV DEBIAN_FRONTEND noninteractive

# Install all basic requirements
RUN \
    apt-get update && \
    apt-get install -y tar unzip wget git build-essential cmake python3 python3-pip llvm-7 clang-tidy-7 clang-7

# Set default clang-tidy version
RUN \
    update-alternatives --install /usr/bin/clang-tidy clang-tidy /usr/bin/clang-tidy-7 100 && \
    update-alternatives --install /usr/bin/clang clang /usr/bin/clang-7 100

# NCCL2 (License: https://docs.nvidia.com/deeplearning/sdk/nccl-sla/index.html)
RUN \
    export CUDA_SHORT=`echo $CUDA_VERSION | egrep -o '[0-9]+\.[0-9]'` && \
    if [ "${CUDA_SHORT}" != "10.0" ]; then \
    wget https://developer.download.nvidia.com/compute/redist/nccl/v2.2/nccl_2.2.13-1%2Bcuda${CUDA_SHORT}_x86_64.txz && \
    tar xf "nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64.txz" && \
    cp nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64/include/nccl.h /usr/include && \
    cp nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64/lib/* /usr/lib && \
    rm -f nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64.txz && \
    rm -r nccl_2.2.13-1+cuda${CUDA_SHORT}_x86_64; fi

# Install Python packages
RUN \
    pip3 install pyyaml

ENV GOSU_VERSION 1.10

# Install lightweight sudo (not bound to TTY)
RUN set -ex; \
    wget -O /usr/local/bin/gosu "https://github.com/tianon/gosu/releases/download/$GOSU_VERSION/gosu-amd64" && \
    chmod +x /usr/local/bin/gosu && \
    gosu nobody true

# Default entry-point to use if running locally
# It will preserve attributes of created files
COPY entrypoint.sh /scripts/

WORKDIR /workspace
ENTRYPOINT ["/scripts/entrypoint.sh"]