Hi,
We tried to run the topaz (train) job from CryoSparc and get this following error message:
Traceback (most recent call last):
File "cryosparc2_worker/cryosparc2_compute/run.py", line 78, in cryosparc2_compute.run.main
File "cryosparc2_compute/jobs/topaz/run_topaz.py", line 298, in run_topaz_wrapper_train
assert len(glob.glob(os.path.join(model_dir, '*'))) > 0, "Training failed, no models were created."
AssertionError: Training failed, no models were created.
If we look at the log file, further up, there is also this error message:
Starting preprocessing...
Starting micrograph preprocessing by running command /gpfs/share/apps/python/gpu/3.6.5/bin/topaz preprocess --scale 4 --niters 200 --num-workers 0 -o /gpfs/data/bhabhaekiertlabs/local_software/CryoSparc/users/coudrn01/P2/J559/preprocessed [MICROGRAPH PATHS EXCLUDED FOR LEGIBILITY]
Traceback (most recent call last):
File "/gpfs/share/apps/python/gpu/3.6.5/bin/topaz", line 10, in <module>
sys.exit(main())
File "/gpfs/share/apps/python/gpu/3.6.5/lib/python3.6/site-packages/topaz/main.py", line 146, in main
args.func(args)
File "/gpfs/share/apps/python/gpu/3.6.5/lib/python3.6/site-packages/topaz/commands/normalize.py", line 129, in main
name = process(path)
File "/gpfs/share/apps/python/gpu/3.6.5/lib/python3.6/site-packages/topaz/commands/normalize.py", line 69, in __call__
, method=method, sample=self.sample, use_cuda=self.use_cuda)
File "/gpfs/share/apps/python/gpu/3.6.5/lib/python3.6/site-packages/topaz/stats.py", line 36, in normalize
, verbose=verbose)
File "/gpfs/share/apps/python/gpu/3.6.5/lib/python3.6/site-packages/topaz/stats.py", line 64, in norm_fit
splits = np.quantile(x, 1-pis)
AttributeError: module 'numpy' has no attribute 'quantile'
It seems to come from numpy, but as far as I understand, Cryosparc maintains its own Python instance, so updating our wouldn’t help, right?
Would anyone know where this error comes from and how to solve it?
Thanks,
Best,
Nicolas