ray.util.ActorPool.submit#

ActorPool.submit(fn, value)[source]#

Schedule a single task to run in the pool.

This has the same argument semantics as map(), but takes on a single value instead of a list of values. The result can be retrieved using get_next() / get_next_unordered().

Parameters:

fn – Function that takes (actor, value) as argument and returns an ObjectRef computing the result over the value. The actor will be considered busy until the ObjectRef completes.
value – Value to compute a result for.

Examples

import ray
from ray.util.actor_pool import ActorPool

@ray.remote
class Actor:
    def double(self, v):
        return 2 * v

a1, a2 = Actor.remote(), Actor.remote()
pool = ActorPool([a1, a2])
pool.submit(lambda a, v: a.double.remote(v), 1)
pool.submit(lambda a, v: a.double.remote(v), 2)
print(pool.get_next(), pool.get_next())

2 4