[NLPL Task Force (A)] early feedback
Martin Matthiesen
martin.matthiesen at csc.fi
Thu Oct 4 06:04:32 UTC 2018
Deae Asad,
Thanks for your feedback! I have a few follow-up questions. We made a conscious decision to only support Python3, is there a reasonably easy way to get your code running in Python3? Is the 2.7 code your own code or is it a third-party tool?
Regards,
Martin
--
Martin Matthiesen
CSC - Tieteen tietotekniikan keskus
CSC - IT Center for Science
PL 405, 02101 Espoo, Finland
+358 9 457 2376, martin.matthiesen at csc.fi
Public key : https://pgp.mit.edu/pks/lookup?op=get&search=0x74B12876FD890704
Fingerprint: AA25 6F56 5C9A 8B42 009F BA70 74B1 2876 FD89 0704
----- Original Message -----
> From: "Asad Sayeed" <asayeed at mbl.ca>
> To: "infrastructure" <infrastructure at nlpl.eu>, "Stephan Oepen" <oe at ifi.uio.no>
> Sent: Thursday, 4 October, 2018 01:55:17
> Subject: [NLPL Task Force (A)] early feedback
> Hi,
>
> I've started trying to use the cluster. It's great but my current task
> seems to be impossible there, so I am running it for longer on local
> machines. The most recent issue is that I wanted to run a neural
> semantic role labeller that requires a recent tensorflow that runs on
> python2.7. I was only able to find a tensorflow that runs on python3,
> and my attempts to use a singularity container failed on abel even when
> I tried to package the container on my local system with the same
> singularity version that is on abel. Also virtualenv and user-level
> package install did not work for me because of an incompatible glibc
> library. Would there be any chance of getting a tensorflow for python2.7
> working on abel, along with tensorflow_hub?
>
> The purpose is to perform SRL on about 10 million sentences, which
> should take a day if I can run 400 processes with 10GB memory each (to
> hold glove vectors). I may in the future have even larger SRL-related
> tasks.
>
> Yours,
> --Asad.
More information about the infrastructure
mailing list