I have tried the new version 4.2.0-beta and encountered issues with 2D classification not being able to work properly. I’ve tried both a small apof benchmark dataset and a previously working dataset, with similar end results where the 2D classes seemed unrecognizable (or blank) afterwards.
We also had some issues with 2D classes all of a sudden turning blank.
Some of these issues could be resolved by refreshing the cache on the computing nodes (i.e. delete and let cryosparc re-cache); other jobs have given blank classes even after recaching, however… granted, the blob pick behind the particles was really bad, but it is the first time I really see fully blank, large classes.
@chen12 @Andrea @osinskit
Thanks for reporting this issue, which we were able to reproduce on CryoSPARC v4.2 when a 2D classification job uses more than a single GPU. Until we release a fix, we recommend running 2D classification on a single GPU. Please let us know if running on a single GPU resolves the issue for your 2D classification tasks.
1 Like
Thanks. Running with a single GPU seemed to have addressed the issue…
2 Likes
Indeed single GPU works on the same dataset.
Thanks
2 Likes
Same problem same solution
Hi @wtempel, I’m not sure that this issue is entirely fixed. Under most circumstances 2D works fine for us, but we have noticed that with large particles (800px) we see the same issues reported here - large, apparently empty/blank 2D classes, mixed in with good 2D classes, and the “blank” classes contain good particles.
This happens in 4.2.2, and happens when using either a single or multiple GPUs for the job. The same particles downsampled to 300px give normal results.
Cheers
Oli
Thanks for the report @olibclarke. Please can you email us the job reports for the “normal” 300px 2D classification job and the most similar 800px where the problem occurs.
1 Like