In my Mac, when I ran RAY_BACKEND_LOG_LEVEL=debug python -m ray.experimental.shuffle --num-partitions=100 --partition-size=100e6 --object-store-memory=1e9 --num-nodes 2 in the master branch, it triggered a segfault on raylet
raylet.out
[2022-06-10 00:49:17,103 D 44686 99451332] (raylet) local_resource_manager.cc:36: local resources: {node:127.0.0.1: [10000]/[10000], CPU: [80000]/[80000], object_store_memory: [10000000000000]/[10000000000000], memory: [46664133640000]/[46664133640000]}
[2022-06-10 00:49:17,103 D 44686 99451332] (raylet) cluster_resource_manager.cc:38: Update node info, node_id: 1678177858206950650, node_resources: {node:127.0.0.1: 10000/10000, CPU: 80000/80000, object_store_memory: 10000000000000/10000000000000, memory: 46664133640000/46664133640000}
[2022-06-10 00:49:17,104 I 44686 99451332] (raylet) grpc_server.cc:105: NodeManager server started, listening on port 60877.
[2022-06-10 00:49:17,113 E 44686 99451332] (raylet) logging.cc:325: *** SIGSEGV received at time=1654847357 ***
[2022-06-10 00:49:17,113 E 44686 99451332] (raylet) logging.cc:325: PC: @ 0x7fff2066f552 (unknown) _platform_strlen
Not sure if it is my macbook only
Versions / Dependencies
Master
Reproduction script
Run RAY_BACKEND_LOG_LEVEL=debug python -m ray.experimental.shuffle --num-partitions=100 --partition-size=100e6 --object-store-memory=1e9 --num-nodes 2
What happened + What you expected to happen
In my Mac, when I ran
RAY_BACKEND_LOG_LEVEL=debug python -m ray.experimental.shuffle --num-partitions=100 --partition-size=100e6 --object-store-memory=1e9 --num-nodes 2
in the master branch, it triggered a segfault on rayletraylet.out
Not sure if it is my macbook only
Versions / Dependencies
Master
Reproduction script
Run
RAY_BACKEND_LOG_LEVEL=debug python -m ray.experimental.shuffle --num-partitions=100 --partition-size=100e6 --object-store-memory=1e9 --num-nodes 2
Issue Severity
No response