When trying to install pytorch nightly (specifically pytorch-cuda) I get the following error:
conda install -y -c pytorch-nightly pytorch-cuda Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Solving environment: \ Found conflicts! Looking for incompatible packages. This can take several minutes. Press CTRL-C to abort. failed UnsatisfiableError: The following specifications were found to be incompatible with your system: - feature:/linux-64::__glibc==2.28=0 - python=3.9 -> libgcc-ng[version='>=11.2.0'] -> __glibc[version='>=2.17'] Your installed version is: 2.28
Some additional Information:
which ldd /usr/bin/ldd
ldd --version ldd (GNU libc) 2.28 Copyright (C) 2018 Free Software Foundation, Inc. This is free software; see the source for copying conditions. There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. Written by Roland McGrath and Ulrich Drepper.
I don’t understand the error message nor do I know if this is the right place to ask. (Perhaps a GitHub issue is the place to ask?)
slightly offtopic: I am trying to install pytorch with cuda 11.8 for the h100 GPU with CUDA 12. What would happen if I would use a 11.7 pytorch/cuda install? Would it only result in a performance loss or is not usable at all?