I am learning to develop with PyTorch as well as LibTorch. I have the following line in my ~/.bashrc for dynamic linking of libtorch libraries: # libtorch linking path export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/home/user/.dev_libraries/libtorch/lib/ However, when this path is in LD_LIBRARY_PATH, importing torch in Python reports segmentation fault: user@host:~$ $LD_LIBRARY_PATH bash: /home/user/packages/embree-2.16.0.x86_64.linux/lib:/home/user/packages/embree-2.16.0.x86_64.linux/lib::/usr/local/lib/:/usr/local/cuda-11.1/lib64:/usr/local/lib/:/usr/local/cuda-11.1/lib64:/home/user/.dev_libraries/libtorch-cpu/libtorch/lib/: No such file or directory user@host:~$ python Python 3.8.10 (default, Jun 2 2021, 10:49:15) [GCC 9.4.0] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import torch Segmentation fault (core dumped) user@host:~$ As soon as I remove that path from the environment variable LD_LIBRARY_PATH, torch can be correctly imported in Python. I am guessing the cause is that some shared libraries of PyTorch having the same names as the ones in LibTorch. Does this mean PyTorch and LibTorch cannot be installed simultaneously, or is my environment setting incorrect? I'd prefer not to reset LD_LIBRARY_PATH every time I switch between the two. System specs: Ubuntu 20.04 + CUDA 11.1 + python 3.8.10 + GCC 9.3.0 pytorch 1.9.0+cu111 libtorch is downloaded from here: https://download.pytorch.org/libtorch/nightly/cpu/libtorch-shared-with-deps-latest.zip Continue reading...
