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https://github.com/vale981/ray
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57 lines
1.7 KiB
Python
57 lines
1.7 KiB
Python
import gym
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from typing import Any, List
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from ray.rllib.connectors.connector import (
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ActionConnector,
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Connector,
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ConnectorContext,
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ConnectorPipeline,
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get_connector,
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register_connector,
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)
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from ray.rllib.utils.annotations import DeveloperAPI
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from ray.rllib.utils.typing import (
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ActionConnectorDataType,
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TrainerConfigDict,
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)
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@DeveloperAPI
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class ActionConnectorPipeline(ActionConnector, ConnectorPipeline):
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def __init__(self, ctx: ConnectorContext, connectors: List[Connector]):
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super().__init__(ctx)
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self.connectors = connectors
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def is_training(self, is_training: bool):
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self.is_training = is_training
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for c in self.connectors:
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c.is_training(is_training)
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def __call__(self, ac_data: ActionConnectorDataType) -> ActionConnectorDataType:
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for c in self.connectors:
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ac_data = c(ac_data)
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return ac_data
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def to_config(self):
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return ActionConnectorPipeline.__name__, [
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c.to_config() for c in self.connectors
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]
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@staticmethod
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def from_config(ctx: ConnectorContext, params: List[Any]):
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assert (
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type(params) == list
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), "ActionConnectorPipeline takes a list of connector params."
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connectors = [get_connector(ctx, name, subparams) for name, subparams in params]
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return ActionConnectorPipeline(ctx, connectors)
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register_connector(ActionConnectorPipeline.__name__, ActionConnectorPipeline)
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@DeveloperAPI
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def get_action_connectors_from_trainer_config(
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config: TrainerConfigDict, action_space: gym.Space
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) -> ActionConnectorPipeline:
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connectors = []
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return ActionConnectorPipeline(connectors)
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