Closed lfrank closed 3 years ago
We are trying to visualize https://www.figurl.org/fig?channel=franklab2&figureObject=0f0a972033745670dd414dae77ffde853f049876&label=wilbur20210401_.nwb_wilbur20210401_day_29
Right now the sortingview process is > 500 GB of RAM, and climbing, and has been running for ~2 hours.
The recording extractor itself is ~233 GB, so it's not clear why that much RAM usage is required. Can that be reduced?
Closing because we are discussing on slack and working toward a solution that does not require one massive file for snippets.
We are trying to visualize https://www.figurl.org/fig?channel=franklab2&figureObject=0f0a972033745670dd414dae77ffde853f049876&label=wilbur20210401_.nwb_wilbur20210401_day_29
Right now the sortingview process is > 500 GB of RAM, and climbing, and has been running for ~2 hours.
The recording extractor itself is ~233 GB, so it's not clear why that much RAM usage is required. Can that be reduced?