Satrajit Ghosh
Satrajit Ghosh
added a few updates above and generation notebook completes.
aren't these all generators?
sharded representations mean filenames won't carry appropriate indices. there is a default shard size included, but it can be overwritten. https://github.com/neuronets/nobrainer/blob/976691d685824fd4bba836498abea4184cffd798/nobrainer/dataset.py#L155
yes, shards break a binary data stream into accessible pieces without changing the overall structure. however, nobrainer has a notion of volumes and blocks. if you break a volume into...
just create another dataset for now. yes, in the ideal world (an MVP+1 problem), we would be able to select any subset for train/eval from a dataset or have something...
we can use actions to push to docker hub and also can start using gchr.io
a colleague asked why all recording sources are being put into a single folder when other parts of bids are separated by modality/technique. perhaps a sentence or two for this...
if i switch from `allow_privilege_escalation` to `privileged` the above works fine. are there specific sets of capabilities i can give apptainer instead of blanket `privilege`?
> try running without apptainer-suid. That should work whenever user namespaces are available. i did, but i think that didn't work will check again. > I'm not aware of what...
thank you @kcpevey only 3% of storage is being used. regarding the logs, i see the build being received by the worker in the worker pod logs, but that's it....