Source code for ray.experimental.actor_pool

import ray


[docs]class ActorPool: """Utility class to operate on a fixed pool of actors. Arguments: actors (list): List of Ray actor handles to use in this pool. Examples: >>> a1, a2 = Actor.remote(), Actor.remote() >>> pool = ActorPool([a1, a2]) >>> print(pool.map(lambda a, v: a.double.remote(v), [1, 2, 3, 4])) [2, 4, 6, 8] """ def __init__(self, actors): # actors to be used self._idle_actors = list(actors) # get actor from future self._future_to_actor = {} # get future from index self._index_to_future = {} # next task to do self._next_task_index = 0 # next task to return self._next_return_index = 0 # next work depending when actors free self._pending_submits = []
[docs] def map(self, fn, values): """Apply the given function in parallel over the actors and values. This returns an ordered iterator that will return results of the map as they finish. Note that you must iterate over the iterator to force the computation to finish. Arguments: fn (func): Function that takes (actor, value) as argument and returns an ObjectID computing the result over the value. The actor will be considered busy until the ObjectID completes. values (list): List of values that fn(actor, value) should be applied to. Returns: Iterator over results from applying fn to the actors and values. Examples: >>> pool = ActorPool(...) >>> print(pool.map(lambda a, v: a.double.remote(v), [1, 2, 3, 4])) [2, 4, 6, 8] """ for v in values: self.submit(fn, v) while self.has_next(): yield self.get_next()
[docs] def map_unordered(self, fn, values): """Similar to map(), but returning an unordered iterator. This returns an unordered iterator that will return results of the map as they finish. This can be more efficient that map() if some results take longer to compute than others. Arguments: fn (func): Function that takes (actor, value) as argument and returns an ObjectID computing the result over the value. The actor will be considered busy until the ObjectID completes. values (list): List of values that fn(actor, value) should be applied to. Returns: Iterator over results from applying fn to the actors and values. Examples: >>> pool = ActorPool(...) >>> print(pool.map(lambda a, v: a.double.remote(v), [1, 2, 3, 4])) [6, 2, 4, 8] """ for v in values: self.submit(fn, v) while self.has_next(): yield self.get_next_unordered()
[docs] def submit(self, fn, value): """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(). Arguments: fn (func): Function that takes (actor, value) as argument and returns an ObjectID computing the result over the value. The actor will be considered busy until the ObjectID completes. value (object): Value to compute a result for. Examples: >>> pool = ActorPool(...) >>> 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 """ if self._idle_actors: actor = self._idle_actors.pop() future = fn(actor, value) self._future_to_actor[future] = (self._next_task_index, actor) self._index_to_future[self._next_task_index] = future self._next_task_index += 1 else: self._pending_submits.append((fn, value))
[docs] def has_next(self): """Returns whether there are any pending results to return. Returns: True if there are any pending results not yet returned. Examples: >>> pool = ActorPool(...) >>> pool.submit(lambda a, v: a.double.remote(v), 1) >>> print(pool.has_next()) True >>> print(pool.get_next()) 2 >>> print(pool.has_next()) False """ return bool(self._future_to_actor)
[docs] def get_next(self, timeout=None): """Returns the next pending result in order. This returns the next result produced by submit(), blocking for up to the specified timeout until it is available. Returns: The next result. Raises: TimeoutError if the timeout is reached. Examples: >>> pool = ActorPool(...) >>> pool.submit(lambda a, v: a.double.remote(v), 1) >>> print(pool.get_next()) 2 """ if not self.has_next(): raise StopIteration("No more results to get") if self._next_return_index >= self._next_task_index: raise ValueError("It is not allowed to call get_next() after " "get_next_unordered().") future = self._index_to_future[self._next_return_index] if timeout is not None: res, _ = ray.wait([future], timeout=timeout) if not res: raise TimeoutError("Timed out waiting for result") del self._index_to_future[self._next_return_index] self._next_return_index += 1 i, a = self._future_to_actor.pop(future) self._return_actor(a) return ray.get(future)
[docs] def get_next_unordered(self, timeout=None): """Returns any of the next pending results. This returns some result produced by submit(), blocking for up to the specified timeout until it is available. Unlike get_next(), the results are not always returned in same order as submitted, which can improve performance. Returns: The next result. Raises: TimeoutError if the timeout is reached. Examples: >>> pool = ActorPool(...) >>> pool.submit(lambda a, v: a.double.remote(v), 1) >>> pool.submit(lambda a, v: a.double.remote(v), 2) >>> print(pool.get_next_unordered()) 4 >>> print(pool.get_next_unordered()) 2 """ if not self.has_next(): raise StopIteration("No more results to get") # TODO(ekl) bulk wait for performance res, _ = ray.wait( list(self._future_to_actor), num_returns=1, timeout=timeout) if res: [future] = res else: raise TimeoutError("Timed out waiting for result") i, a = self._future_to_actor.pop(future) self._return_actor(a) del self._index_to_future[i] self._next_return_index = max(self._next_return_index, i + 1) return ray.get(future)
def _return_actor(self, actor): self._idle_actors.append(actor) if self._pending_submits: self.submit(*self._pending_submits.pop(0))