Make Dask CUDA work with the new WorkerMemoryManager abstraction#870
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rapids-bot[bot] merged 10 commits intorapidsai:branch-22.04from Mar 21, 2022
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crusaderky
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Mar 10, 2022
| w.memory_target_fraction = 1 | ||
| await w.memory_monitor() | ||
| w.memory_manager.memory_limit = memory - 10 ** 8 | ||
| w.memory_manager.memory_target_fraction = 1 |
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This doesn't work: dask/distributed#5367
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requirements.txt mentions |
Implement `DeviceHostFile.evict()`
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rerun tests |
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Codecov Report
@@ Coverage Diff @@
## branch-22.04 #870 +/- ##
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Coverage ? 89.49%
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Files ? 16
Lines ? 2094
Branches ? 0
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Hits ? 1874
Misses ? 220
Partials ? 0 Continue to review full report at Codecov.
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rerun tests |
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rerun tests |
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@gpucibot merge |
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This PR updates dask-cuda to work with the new
WorkerMemoryManagerabstraction being introduced in dask/distributed#5904. Once both PRs are merged, and pending the resolution of https://github.com/dask/distributed/pull/5904/files#r822084806, dask-cuda CI should be unblocked.