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dispatch.run uses worker-restrictions to pin tasks to the workers they should get executed on. Should a worker get removed (or possibly restarted), this will cause the task to transition to the no-worker state and remain there indefinitely (see dask/distributed#7346). From what I see, there is no mechanism implemented to prevent this.
To circumvent this, dask-pytorch-ddp would probably also benefit from dask/distributed#8624.
The text was updated successfully, but these errors were encountered:
dispatch.run
uses worker-restrictions to pin tasks to the workers they should get executed on. Should a worker get removed (or possibly restarted), this will cause the task to transition to theno-worker
state and remain there indefinitely (see dask/distributed#7346). From what I see, there is no mechanism implemented to prevent this.To circumvent this,
dask-pytorch-ddp
would probably also benefit from dask/distributed#8624.The text was updated successfully, but these errors were encountered: