Hello,
I am using conda, see my docker here:

  
      github.com
  
  
    QuantScientist/DarkTorch/blob/master/docker/cuda10/Dockerfile 1
#FROM nvcr.io/nvidia/tensorrt:19.03-py3
# FROM nvcr.io/nvidia/pytorch:19.07-py3
# FROM nvcr.io/nvidia/pytorch:18.12-py3
FROM nvcr.io/nvidia/pytorch:19.02-py3
# https://github.com/freemanix/torchbuilder/blob/master/Dockerfile

RUN apt-get update &&\
    apt-get install -y sudo git bash


ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:/code/cmake-3.14.3-Linux-x86_64/bin:${PATH}
ENV PYTHONPATH=/opt/conda/lib/python3.6/site-packages/:$PYTHONPATH
ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/opt/conda/lib/:/opt/conda/lib/python3.6

RUN apt-get update \
 && apt-get install -y \
    build-essential git gfortran \
    cmake curl wget unzip libreadline-dev libjpeg-dev libpng-dev ncurses-dev \
    imagemagick gnuplot gnuplot-x11 libssl-dev libzmq3-dev graphviz



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Everything runs perfectly when I dont use cling (see https://github.com/QuantScientist/DarkTorch/tree/master/001_verify 1) on the same docker image; I already resolved anything related to TORCH_CXX_FLAGS "-D_GLIBCXX_USE_CXX11_ABI=1
This happens only when I use cling. Is there a way to force cling to be ABI compatible or I have to compile from scratch?
Any would would loading the model.pt work if there is an ABI comptability problem?
Thanks,