I see the same error occasionally on my CentOS system. Just saw it on a Class2D job now, which died in iteration 4. The error in both the GUI log and the joblog look similar:
[CPU: 5.12 GB] Traceback (most recent call last):
File "/home/exx/cryosparc/cryosparc_worker/cryosparc_compute/jobs/runcommon.py", line 1791, in run_with_except_hook
run_old(*args, **kw)
File "cryosparc_worker/cryosparc_compute/engine/cuda_core.py", line 131, in cryosparc_compute.engine.cuda_core.GPUThread.run
File "cryosparc_worker/cryosparc_compute/engine/cuda_core.py", line 132, in cryosparc_compute.engine.cuda_core.GPUThread.run
File "cryosparc_worker/cryosparc_compute/engine/engine.py", line 1108, in cryosparc_compute.engine.engine.process.work
File "cryosparc_worker/cryosparc_compute/engine/engine.py", line 389, in cryosparc_compute.engine.engine.EngineThread.find_and_set_best_pose_shift
File "<__array_function__ internals>", line 6, in unravel_index
ValueError: index 1059285798 is out of bounds for array with size 336
If I rerun the same job, even with different parameters (e.g smaller mask), it dies at the same iteration:
[CPU: 5.24 GB] Traceback (most recent call last):
File "/home/exx/cryosparc/cryosparc_worker/cryosparc_compute/jobs/runcommon.py", line 1791, in run_with_except_hook
run_old(*args, **kw)
File "cryosparc_worker/cryosparc_compute/engine/cuda_core.py", line 131, in cryosparc_compute.engine.cuda_core.GPUThread.run
File "cryosparc_worker/cryosparc_compute/engine/cuda_core.py", line 132, in cryosparc_compute.engine.cuda_core.GPUThread.run
File "cryosparc_worker/cryosparc_compute/engine/engine.py", line 1108, in cryosparc_compute.engine.engine.process.work
File "cryosparc_worker/cryosparc_compute/engine/engine.py", line 389, in cryosparc_compute.engine.engine.EngineThread.find_and_set_best_pose_shift
File "<__array_function__ internals>", line 6, in unravel_index
ValueError: index -1087200183 is out of bounds for array with size 336
Perhaps notably, earlier in the log I see this:
[CPU: 2.66 GB] Iteration 4
[CPU: 2.66 GB] -- Effective number of classes per image: min nan | 25-pct nan | median nan | 75-pct nan | max nan
[CPU: 2.66 GB] -- Probability of best class per image: min nan | 25-pct nan | median nan | 75-pct nan | max nan