Hello everyone,
I’m trying to run some pytorch code on a universities cluster. The GPU in question is a Tesla K20m, so according to wikipedia it supports CUDA compute capability 3.5. As I understood from other threads the corresponding binary isn’t shipped with pytorch anymore. I tried building pytorch from source but the system itself is rather ancient(Ubuntu 14.04, gcc 4.8.4) and I get
The C++ compiler does not support required functions.  This is very likely
  due to a known bug in GCC 5 (and maybe other versions) on Ubuntu 17.10 and
  newer.  For more information, see:
  https://github.com/pytorch/pytorch/issues/5229

As I have limited possibilities to change these circumstances I was wondering if I could precompile the binaries on another machine and move them to the cluster. Or if maybe those were available somewhere. And what files I was even looking for in my environment folder. I am new to Pytorch, CUDA and using remote systems, please let me now which additional information might be required.
Best regards