mirror of
https://github.com/vale981/ray
synced 2025-03-06 18:41:40 -05:00
60d4d5e1aa
* Remove all __future__ imports from RLlib. * Remove (object) again from tf_run_builder.py::TFRunBuilder. * Fix 2xLINT warnings. * Fix broken appo_policy import (must be appo_tf_policy) * Remove future imports from all other ray files (not just RLlib). * Remove future imports from all other ray files (not just RLlib). * Remove future import blocks that contain `unicode_literals` as well. Revert appo_tf_policy.py to appo_policy.py (belongs to another PR). * Add two empty lines before Schedule class. * Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.
55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
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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@ray.remote
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def gethostname(x):
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import time
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import socket
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time.sleep(0.01)
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return x + (socket.gethostname(), )
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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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num_nodes = len(ray.nodes())
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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(4)
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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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# NOTE: If you know you're running this on the head node, you can just
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# use "localhost" here.
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# redis_host = "localhost"
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if ("RAY_HEAD_SERVICE_HOST" not in os.environ
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or os.environ["RAY_HEAD_SERVICE_HOST"] == ""):
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raise ValueError("RAY_HEAD_SERVICE_HOST environment variable empty."
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"Is there a ray cluster running?")
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redis_host = os.environ["RAY_HEAD_SERVICE_HOST"]
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ray.init(address=redis_host + ":6379")
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main()
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