mirror of
https://github.com/vale981/ray
synced 2025-03-09 21:06:39 -04:00
e63da54931
Co-authored-by: Sumanth Ratna <sumanthratna@gmail.com> Co-authored-by: PENG Zhenghao <pengzh@ie.cuhk.edu.hk> Co-authored-by: Richard Liaw <rliaw@berkeley.edu>
29 lines
593 B
Python
29 lines
593 B
Python
# trainer.py
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from collections import Counter
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import os
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import sys
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import time
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import ray
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num_cpus = int(sys.argv[1])
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ray.init(address=os.environ["ip_head"])
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print("Nodes in the Ray cluster:")
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print(ray.nodes())
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@ray.remote
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def f():
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time.sleep(1)
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return ray.services.get_node_ip_address()
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# The following takes one second (assuming that
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# ray was able to access all of the allocated nodes).
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for i in range(60):
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start = time.time()
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ip_addresses = ray.get([f.remote() for _ in range(num_cpus)])
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print(Counter(ip_addresses))
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end = time.time()
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print(end - start)
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