Retry engines that raise UnmetDependency
Abierto
- Lenguaje dominante
- Jupyter Notebook
- Estrellas
- 2.6k
- Forks
- 1k
- Métricas de merge de PR
- Sin PR fusionados en 30 d
Descripción
I'm using ipyparallel in a somewhat hackneyed scheme as a GPU cluster - upon job submission, each engine checks to see whether there are available GPU resources for running the job, and reports back to the scheduler if not. This can be accomplished with `@depend`, if the Scheduler can be set to not blacklist engines that raise dependency errors. What I'm really looking for is a `resource_busy` error though.
Is it possible to disable engine blacklist upon raising dependency errors? Or, even better, to more directly tell the scheduler that an engine is busy?
Guía de contribución
Evaluación
Este issue todavía no se ha evaluado.