brainlife / app-life

LiFE (Linear Fasicle Evaluation) predicts the measured diffusion signal using the orientation of the fascicles present in a connectome. LiFE uses the difference between the measured and predicted diffusion signals to measure prediction error. The connectome model prediction error is used to compute two metrics to evaluate the evidence supporting properties of the connectome.
1 stars 5 forks source link

Check input files before running #1

Open soichih opened 7 years ago

soichih commented 7 years ago

When input files are missing, feConnectomeInit crashes with often no error message, or with a very cryptic error message. Before running LiFE, I should make sure all inputs file exists and accessible.

bcmcpher commented 7 years ago

This is probably due to not having enough RAM for the job. You need at least 8 GB for how we're tracking now (~500k streamlines). I have something to the effect of:

-l node=1:ppn=1,mem=8196MB,walltime=00:02:00

if I'm just running LiFE.

Brent

On Mon, Jul 3, 2017 at 10:11 PM, Soichi Hayashi notifications@github.com wrote:

When input files are missing, feConnectomeInit crashes with often no error message, or with a very cryptic error message. Before running LiFE, I should make sure all inputs file exists and accessible.

— You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub https://github.com/brain-life/app-life/issues/1, or mute the thread https://github.com/notifications/unsubscribe-auth/ANRr_WlqLs0p8726p8R5h16XKXy5RqHGks5sKZ9sgaJpZM4OM0Be .