Comments (3)
hm. I was hoping to get around having to implement a wd for an individual CU as this (a) not possible to implement the majority of backends and (b) messes with the 'sandbox' idea of the agent.
Obviously, one would need functioning data staging for this to work, otherwise no input data placement would be possible. I'm very much in favor for implementing that instead of the 'wd' hack. However, in lieu of current deadlines, I will give it a try.
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Fixed. Implemented as pd.working_directory_priv()
.
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Thanks, this works nicely now! I would rather see this renamed to working_directory
though, as we do for Bigjob and saga, and as do all other job submission systems AFAIK...
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Related Issues (20)
- RAPTOR: master fails HOT 2
- RAPTOR: fails, related to #2792 HOT 4
- re-organize lock initialization in agent scheduler
- Initializing TaskDescription from a dictionary fails on *metadata* field. HOT 2
- Non-trivial adjustments to Python invocation. HOT 3
- `task_sandbox` broken for raptor tasks
- PEP-440 versioning HOT 6
- Profiling TRPM code HOT 1
- RPEX PR Tracking
- Task timeout fails HOT 1
- RAPTOR: DefaultWorker function deserialization
- RAPTOR: DeafultWorker (non-MPI) fails HOT 1
- Devel branch should have higher version than master HOT 1
- pilot always times out (in reporter) even when terminating ok
- Review runs with `aprun` on Theta@ALCF HOT 1
- Pilot data staging commands are not thread safe.
- How to split a limited number of GPUs on a large node? HOT 2
- RAPTOR: raptor worker fails with set of errors HOT 3
- RAPTOR: raptor master fails with permission denied HOT 2
- Introduce possibility to share GPU among multiple ranks
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