Comments (2)
Can you add the timeout logic in the UDF itself?
from ray.
Sure! But it will be lot cleaner and easier if the ray data-infra provides this functionality
from ray.
Related Issues (20)
- [core][experimental] Add GPU tests test_execution_schedule_gpu.py to CI
- [ADAG] AssertionError: More than one output node found
- [ADAG] Running multiple `dag.execute` raised a timeout error. HOT 1
- [ADAG] Sending sharded outputs into multiple downstream DAG nodes HOT 1
- [Data] Async `MapBatches` hangs upon exception raised from UDF HOT 1
- [<Ray component: Core|RLlib|etc...>] a bug in rllib/evaluation/collectors/simple_list_collectior.py
- [core] Doc for querying or reacting to node death info HOT 1
- Release test long_running_distributed_pytorch_pbt_failure.aws failed HOT 2
- Release test single_node_oom.aws failed HOT 3
- [Data] Pending object memory store usage in the progress bar should incorporate estimated size of output blocks (obj_store_mem_pending_task_outputs)
- [Data] Update an actor's usage to pending when it is preempted HOT 1
- [RLlib] Flatten observations example doesn't work
- CI test linux://rllib:examples/curiosity/euclidian_distance_based_curiosity is consistently_failing HOT 7
- Release test air_benchmark_tune_torch_mnist.aws failed HOT 3
- [Ray Train] Pytorch profiler is not worked with Ray Train TorchTrainer
- Release test many_nodes_actor_test_on_v2.aws failed HOT 1
- [aDAG][Core] ray.get on a channel doesn't work with ctrl+C
- Release test read_images_train_4_gpu.aws failed HOT 1
- [aDAG][Core] Print unhandled error
- [serve] polish deployment handle `.options`
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