mirror of
https://github.com/vale981/ray
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baa14d695a
- Separate spread scheduling and default hydra scheduling (i.e. SpreadScheduling != HybridScheduling(threshold=0)): they are already separated in the API layer and they have the different end goals so it makes sense to separate their implementations and evolve them independently. - Simple round robin for spread scheduling: this is just a starting implementation, can be optimized later. - Prefer not to spill back tasks that are waiting for args since the pull is already in progress. |
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| .. | ||
| chaos_test | ||
| dask_on_ray | ||
| dataset | ||
| decision_tree | ||
| many_nodes_tests | ||
| placement_group_tests | ||
| shuffle | ||
| stress_tests | ||
| chaos_test.yaml | ||
| nightly_tests.yaml | ||
| setup_chaos.py | ||
| wait_cluster.py | ||