mirror of
https://github.com/wassname/ray.git
synced 2026-06-28 17:02:43 +08:00
Simon Mo
94 lines
2.0 KiB
Python
94 lines
2.0 KiB
Python
import numpy as np
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import pytest
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import ray
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@pytest.fixture(params=[1])
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def ray_start_sharded(request):
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# TODO(ekl) enable this again once GCS supports sharding.
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# num_redis_shards = request.param
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# Start the Ray processes.
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ray.init(
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object_store_memory=int(0.5 * 10**9),
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num_cpus=10,
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# _num_redis_shards=num_redis_shards,
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_redis_max_memory=10**8)
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yield None
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# The code after the yield will run as teardown code.
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ray.shutdown()
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def test_submitting_many_tasks(ray_start_sharded):
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@ray.remote
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def f(x):
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return 1
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def g(n):
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x = 1
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for i in range(n):
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x = f.remote(x)
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return x
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ray.get([g(100) for _ in range(100)])
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assert ray._private.services.remaining_processes_alive()
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def test_submitting_many_actors_to_one(ray_start_sharded):
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@ray.remote
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class Actor:
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def __init__(self):
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pass
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def ping(self):
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return
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@ray.remote
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class Worker:
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def __init__(self, actor):
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self.actor = actor
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def ping(self):
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return ray.get(self.actor.ping.remote())
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a = Actor.remote()
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workers = [Worker.remote(a) for _ in range(10)]
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for _ in range(10):
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out = ray.get([w.ping.remote() for w in workers])
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assert out == [None for _ in workers]
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def test_getting_and_putting(ray_start_sharded):
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for n in range(8):
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x = np.zeros(10**n)
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for _ in range(100):
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ray.put(x)
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x_id = ray.put(x)
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for _ in range(1000):
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ray.get(x_id)
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assert ray._private.services.remaining_processes_alive()
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def test_getting_many_objects(ray_start_sharded):
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@ray.remote
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def f():
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return 1
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n = 10**4 # TODO(pcm): replace by 10 ** 5 once this is faster.
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lst = ray.get([f.remote() for _ in range(n)])
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assert lst == n * [1]
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assert ray._private.services.remaining_processes_alive()
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if __name__ == "__main__":
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import pytest
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import sys
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sys.exit(pytest.main(["-v", __file__]))
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