Creates a Docker to reproduce the "undefined symbol: _ZNK6google8protobuf7Message13SpaceUsedLongEv" error om ONNX/Caffe2

Dockerfile

# Dockerfile to reproduce the error: 
# "undefined symbol: _ZNK6google8protobuf7Message13SpaceUsedLongEv"
# When using current ONNX with current Caffe2

# Use an official ubuntu runtime as a parent image
FROM ubuntu:16.04

# Set the working directory to /app
WORKDIR /app

# Install dependencies (according to Caffe2 documentation)
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    cmake \
    git \
    libgoogle-glog-dev \
    libgtest-dev \
    libiomp-dev \
    libleveldb-dev \
    liblmdb-dev \
    libopencv-dev \
    libopenmpi-dev \
    libsnappy-dev \
    libprotobuf-dev \
    openmpi-bin \
    openmpi-doc \
    protobuf-compiler \
    python-dev \
    python-pip    

# Install python packages
RUN pip install --upgrade pip setuptools wheel
RUN pip install future numpy protobuf

# Additional ubuntu 16.04 dependency (according to Caffe2 documentation)
RUN apt-get install -y --no-install-recommends libgflags-dev

# Caffe2 installation (which is a part of pytorch now)
RUN git clone --recursive https://github.com/pytorch/pytorch.git
RUN cd pytorch \
    && git submodule update --init \
    && mkdir build && cd build \
    && cmake .. \
    -DUSE_CUDA=OFF \
    -DUSE_NNPACK=OFF \
    -DUSE_ROCKSDB=OFF \
    -DUSE_MPI=OFF \
    && make -j"$(nproc)" install \
    && ldconfig \
    && make clean \
    && cd ..

# Install onnx
RUN pip install --trusted-host pypi.python.org onnx

RUN printf '%s\n' 'import onnx' 'import caffe2.python.onnx.backend' >test.py

ENV PYTHONPATH /usr/local

# Run test.py when the container launches
CMD ["python", "test.py"]

This file simply follows the Caffe2 installation documentation and additionally installs ONNX plus a few other required dependencies (setuptools wheel) and creates a simple test.py, which will yield the ImportError