Source code for rlgraph.components.common.repeater_stack

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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

from rlgraph.components.neural_networks.stack import Stack


[docs]class RepeaterStack(Stack): """ A repeater is a special Stack that copies one(!) sub-Component n times and calls certain API-method(s) n times. n is the number of repeats. API: apply(input_) -> call's some API-method on the "repeat-unit" (another Component) n times, each time passing the result of the previous repeat and then returning the result of the last repeat. """ def __init__(self, sub_component, repeats=2, scope="repeater", **kwargs): """ Args: sub_component (Component): The single sub-Component to repeat (and deepcopy) n times. repeats (int): The number of times that the `sub_component`'s API-method(s) should be called. """ self.repeats = repeats # Deep copy the sub-Component n times (including riginal sub-Component). sub_components = [sub_component] + [ sub_component.copy(scope=sub_component.scope+"-rep"+str(i+1)) for i in range(self.repeats - 1) ] # Call the Stack ctor to handle sub-component adding API-method creation. super(RepeaterStack, self).__init__(*sub_components, scope=scope, **kwargs)