Comments (2)
Can just do
ray start
first explicitly with the arg then run theserve run
for now.
Thanks for the tip!
from ray.
Can just do ray start
first explicitly with the arg then run the serve run
for now.
from ray.
Related Issues (20)
- Release test dataset_shuffle_push_based_sort_1tb.aws failed HOT 2
- [Core] Actor/Task cannot be scheduled on worker node. HOT 1
- [Ray core] Stopped job leaks worker HOT 5
- [serve] Support resource-based autoscaling HOT 1
- [Observability / Doc] Add support of ray debugger on windows HOT 6
- [Doc] Python 3.12 `docs` env has conflicts with `..scripts/format.sh` HOT 2
- [Dashboard] `py-spy` profiling initiated from the Ray Dashboard fails if `sudo` is not installed HOT 3
- [Ray Data] map_batches with actors is 25% slower than manually consuming with iter_batches
- [Core][Actors] Duplicate named actor exception should not be lazy if possible HOT 1
- [Core] `ray.wait` not actually wait until ready when the task is longer than 12 days HOT 3
- [tune] `tune.with_resources` with `PlacementGroupFactory` cannot find GPUs in `train_fn` HOT 4
- CI test linux://python/ray/dashboard:test_dashboard is consistently_failing HOT 5
- CI test linux://rllib:examples/checkpoints/checkpoint_by_custom_criteria is consistently_failing HOT 9
- [Core] Returning an object that is >100KB from an Actor with max_task_retries>0 leaks IDLE workers HOT 1
- CI test linux://python/ray/train:deepspeed_torch_trainer_no_raydata is consistently_failing HOT 1
- CI test linux://doc:source/serve/doc_code/distilbert is consistently_failing HOT 2
- CI test linux://doc:source/serve/doc_code/distilbert is consistently_failing HOT 1
- [<Ray Data>] Import Error using ray.data.read_bigquery
- [Core] `ray.get_runtime_context().namespace` returns incorrect namespace in Actor Tasks HOT 5
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from ray.