chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,34 @@
|
||||
|
||||
Local node IP: .+
|
||||
|
||||
--------------------
|
||||
Ray runtime started.
|
||||
--------------------
|
||||
|
||||
Next steps
|
||||
Note: The following commands are intended for use on
|
||||
the head node or within the cluster network\.
|
||||
|
||||
To add another node to this Ray cluster, run
|
||||
ray start --address='.+'
|
||||
|
||||
To connect to this Ray cluster:
|
||||
import ray
|
||||
ray\.init\(\)
|
||||
|
||||
To submit a Ray job using the Ray Jobs CLI:
|
||||
RAY_API_SERVER_ADDRESS='http://.+:8265' ray job submit --working-dir \. -- python my_script\.py
|
||||
|
||||
See https://docs\.ray\.io/en/latest/cluster/running-applications/job-submission/index\.html
|
||||
for more information on submitting Ray jobs to the Ray cluster.
|
||||
|
||||
To terminate the Ray runtime, run
|
||||
ray stop
|
||||
|
||||
To view the status of the cluster, use
|
||||
ray status
|
||||
|
||||
To monitor and debug Ray, view the dashboard at
|
||||
127.0.0.1:8265
|
||||
|
||||
If connection to the dashboard fails, check your firewall settings and network configuration.
|
||||
Reference in New Issue
Block a user