mirror of
https://github.com/vale981/ray
synced 2025-03-07 02:51:39 -05:00
61 lines
1.4 KiB
Python
61 lines
1.4 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import ray
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def setup():
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if not hasattr(setup, "is_initialized"):
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ray.init(num_workers=10, num_cpus=10, resources={"foo": 1})
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setup.is_initialized = True
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def square(x):
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return x * x
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class TaskSuite(object):
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timeout = 10
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def setup(self):
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self.square = ray.remote(square)
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def run_many_tasks(self):
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ray.get([self.square.remote(i) for i in range(100)])
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def run_task_dependency(self):
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first_oid = self.square.remote(2)
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second_oid = self.square.remote(first_oid)
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ray.get(second_oid)
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def time_submit_task(self):
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self.square.remote(2)
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def time_task_lifecycle(self):
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ray.get(self.square.remote(2))
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def peakmem_task_lifecycle(self):
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ray.get(self.square.remote(2))
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def time_run_many_tasks(self):
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self.run_many_tasks()
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def peakmem_run_many_tasks(self):
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self.run_many_tasks()
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def time_task_dependency(self):
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self.run_task_dependency()
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def peakmem_task_dependency(self):
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self.run_task_dependency()
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class CPUTaskSuite(TaskSuite):
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def setup(self):
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self.square = ray.remote(num_cpus=1)(square)
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class CustomResourceTaskSuite(TaskSuite):
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def setup(self):
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self.square = ray.remote(resources={"foo": 1})(square)
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