Comments (3)
This does not seem to be a general issue, but rather some workflows which do not respect the thread limit set, or use more than one thread although they should be single threaded. E.g. the watershed workflow.
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Turns out the most likely culprit is numpy:
numpy/numpy#11826
To fix it, either set the corresponding environment variables or use https://github.com/joblib/threadpoolctl.
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This is indeed the issue.
For now, the solution is to use this function and call it before the numpy import, like here.
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Related Issues (20)
- Sample data doesn't extract
- Axon-Dendrite Attribution code HOT 2
- Update links for data of LMC publication
- Block-wise multicut currently does not support halo
- Use decomposition solver as default for solve_global
- Support for cloud-based datastores? HOT 4
- Create smaller file for tests
- Fix tests for edge features
- Fix issues with connected components
- wrong kwarg passed on to elf HOT 17
- Fix issues with uint8 conversion for float data in CopyVolume
- AssertionError: [30, 256, 256], (16, 128, 128 HOT 2
- Input data for axon_dendrite_attribution workflow
- dimension slicing error HOT 6
- threadpool issue HOT 11
- Pass axis metadata for ome.zarr
- `fit_to_roi` not applied
- Pipeline does not work for non-consecutive superpixels
- Pipeline has problems with non-contiguous numpy arrays HOT 3
- How to run large volumes HOT 21
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