gpu.Dockerfile

FROM nvidia/cuda:11.2.0-devel-ubuntu20.04 AS builder

# Env variables
ENV DEBIAN_FRONTEND=noninteractive \
    PYTHONPATH="$PYTHONPATH:/code/SuperBuild/install/lib/python3.9/dist-packages:/code/SuperBuild/install/lib/python3.8/dist-packages:/code/SuperBuild/src/opensfm" \
    LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/code/SuperBuild/install/lib"

# Prepare directories
WORKDIR /code

# Copy everything
COPY . ./

# Run the build
RUN PORTABLE_INSTALL=YES GPU_INSTALL=YES bash configure.sh install

# Clean Superbuild
RUN bash configure.sh clean

### END Builder

### Use a second image for the final asset to reduce the number and
# size of the layers.
FROM nvidia/cuda:11.2.0-runtime-ubuntu20.04
#FROM nvidia/cuda:11.2.0-devel-ubuntu20.04

# Env variables
ENV DEBIAN_FRONTEND=noninteractive \
    PYTHONPATH="$PYTHONPATH:/code/SuperBuild/install/lib/python3.9/dist-packages:/code/SuperBuild/install/lib/python3.8/dist-packages:/code/SuperBuild/src/opensfm" \
    LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/code/SuperBuild/install/lib"

WORKDIR /code

# Copy everything we built from the builder
COPY --from=builder /code /code

# Copy the Python libraries installed via pip from the builder
COPY --from=builder /usr/local /usr/local

# Install OpenCL Drivers
RUN apt update && apt install -y nvidia-opencl-icd-340 intel-opencl-icd

# Install shared libraries that we depend on via APT, but *not*
# the -dev packages to save space!
# Also run a smoke test
RUN bash configure.sh installruntimedepsonly \
  && apt-get clean \
  && rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/* \
  && bash run.sh --help

# Entry point
ENTRYPOINT ["python3", "/code/run.py"]