mirror of
https://github.com/vale981/ray
synced 2025-03-06 18:41:40 -05:00
58 lines
1.5 KiB
Python
58 lines
1.5 KiB
Python
from collections import Counter
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import sys
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import time
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import ray
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""" Run this script locally to execute a Ray program on your Ray cluster on
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Kubernetes.
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Before running this script, you must port-forward from the local host to
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the relevant Kubernetes head service e.g.
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kubectl -n ray port-forward service/example-cluster-ray-head 10001:10001.
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Set the constant LOCAL_PORT below to the local port being forwarded.
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"""
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LOCAL_PORT = 10001
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@ray.remote
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def gethostname(x):
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import platform
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import time
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time.sleep(0.01)
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return x + (platform.node(), )
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def wait_for_nodes(expected):
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# Wait for all nodes to join the cluster.
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while True:
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resources = ray.cluster_resources()
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node_keys = [key for key in resources if "node" in key]
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num_nodes = sum(resources[node_key] for node_key in node_keys)
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if num_nodes < expected:
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print("{} nodes have joined so far, waiting for {} more.".format(
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num_nodes, expected - num_nodes))
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sys.stdout.flush()
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time.sleep(1)
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else:
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break
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def main():
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wait_for_nodes(3)
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# Check that objects can be transferred from each node to each other node.
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for i in range(10):
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print("Iteration {}".format(i))
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results = [
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gethostname.remote(gethostname.remote(())) for _ in range(100)
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]
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print(Counter(ray.get(results)))
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sys.stdout.flush()
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print("Success!")
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sys.stdout.flush()
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if __name__ == "__main__":
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ray.client(f"127.0.0.1:{LOCAL_PORT}").connect()
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main()
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