Ejemplo n.º 1
0
    def CreateOptimizer(self,
                        request: OptimizerService_pb2.CreateOptimizerRequest,
                        context):  # pylint: disable=unused-argument
        self.logger.info("Creating Optimizer")
        print("CREATING OPTIMIZER")
        optimization_problem = OptimizationProblem.from_protobuf(
            optimization_problem_pb2=request.OptimizationProblem)
        optimizer_config_json = request.OptimizerConfig
        if optimizer_config_json is not None and len(
                optimizer_config_json) > 0:
            optimizer_config = Point.from_json(optimizer_config_json)
        else:
            optimizer_config = bayesian_optimizer_config_store.default

        optimizer = BayesianOptimizer(
            optimization_problem=optimization_problem,
            optimizer_config=optimizer_config)

        optimizer_id = self.get_next_optimizer_id()

        # To avoid a race condition we acquire the lock before inserting the lock and the optimizer into their respective
        # dictionaries. Otherwise we could end up with a situation where a lock is in the dictionary, but the optimizer
        # is not.
        optimizer_lock = self._lock_manager.RLock()
        with optimizer_lock:
            self._optimizer_locks_by_optimizer_id[
                optimizer_id] = optimizer_lock
            self._optimizers_by_id[optimizer_id] = optimizer
            self._ordered_ids.append(optimizer_id)
        self.logger.info(f"Created optimizer {optimizer_id}.")
        return OptimizerService_pb2.OptimizerHandle(Id=optimizer_id)
Ejemplo n.º 2
0
    def CreateOptimizer(self,
                        request: OptimizerService_pb2.CreateOptimizerRequest,
                        context):  # pylint: disable=unused-argument

        optimization_problem = OptimizationProblem.from_protobuf(
            optimization_problem_pb2=request.OptimizationProblem)

        optimizer = BayesianOptimizer(
            optimization_problem=optimization_problem,
            optimizer_config=BayesianOptimizerConfig.DEFAULT)

        optimizer_id = self.get_next_optimizer_id()

        # To avoid a race condition we acquire the lock before inserting the lock and the optimizer into their respective
        # dictionaries. Otherwise we could end up with a situation where a lock is in the dictionary, but the optimizer
        # is not.
        optimizer_lock = self._lock_manager.RLock()
        with optimizer_lock:
            self._optimizer_locks_by_optimizer_id[
                optimizer_id] = optimizer_lock
            self._optimizers_by_id[optimizer_id] = optimizer
        logging.info(f"Created optimizer {optimizer_id}.")
        return OptimizerService_pb2.OptimizerHandle(Id=optimizer_id)
Ejemplo n.º 3
0
 def optimizer_handle(self):
     return OptimizerService_pb2.OptimizerHandle(Id=self.id)