date: 2023-03-10 01:34:47
by: Mirco Ravanelli

Very interesting opportunity! The student will collaborate with me as well and with the #SpeechBrain community as well.

#research #AI #deeplearning #MachineLearning #PhDposition #Audio #Speech https://twitter.com/CemSubakan/status/1633918373833605120

🐦🔗: https://twitter.com/twitter/statuses/1634004843193827330
#PhdPosition

Got #Speechbrain on #pytorch2 within #python311 up and running. So far just recipe tested, but seems to run faster whilst CPU decoding.

Building it was not that easy though. First, I experienced troubles while linking against glibc, but it was due to switching back and forth to conda environment, because I needed gcc 11.1 (my Fedora 36 has gcc 12+, and it has issues preprocessing some templates among the pytorch dependencies). Moreover, I needed linkage to the system's #cuda12, which was present at a conda repository

I was too lazy to find the way through, exporting correct variables and/or setting correct paths here and there. So I decided to first build custom gcc 11.1 and eventually pytorch.

I visited https://ftp.gnu.org/gnu/gcc/gcc-11.1.0/, but then I struggled once again. Now it was compiling gcc itself. Even then I had very little patience finding the true reason, but was lucky enough to find a patch enabling succesful compilation of the gcc: https://reviews.llvm.org/D129471