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.
27 lines
457 B
Python
27 lines
457 B
Python
import ray
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@ray.remote
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def f():
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return 0
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@ray.remote
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def g():
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import time
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start = time.time()
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while time.time() < start + 1:
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ray.get([f.remote() for _ in range(10)])
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# 10MB -> hangs after ~5 iterations
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# 20MB -> hangs after ~20 iterations
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# 50MB -> hangs after ~50 iterations
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ray.init(redis_max_memory=1024 * 1024 * 50)
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i = 0
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for i in range(100):
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i += 1
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a = g.remote()
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[ok], _ = ray.wait([a])
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print("iter", i)
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