class_docstr: Managed optimization loop, in which Ax oversees deployment of trials and
  gathering data.
class_docstr_tok: ["Managed","optimization","loop",",","in","which","Ax","oversees","deployment","of","trials","and","gathering","data","."]
docstr: Runs full optimization loop as defined in the provided optimization
  plan.
docstr_tok: ["Runs","full","optimization","loop","as","defined","in","the","provided","optimization","plan","."]
code: def full_run(self) -> OptimizationLoop:
      """Runs full optimization loop as defined in the provided optimization
      plan."""
      num_steps = self.total_trials
      logger.info(f"Started full optimization with {num_steps} steps.")
      for _ in range(num_steps):
          try:
              self.run_trial()
          except SearchSpaceExhausted as err:
              logger.info(
                  f"Stopped optimization as the search space is exhaused. Message "
                  f"from generation strategy: {err}."
              )
              return self
          except Exception:
              logger.exception(
                  "Encountered exception during optimization: "
              )
              return self
      return self
  
imports: from __future__ import annotations
  import inspect
  import logging
  from typing import Iterable, List, Optional, Tuple
  from ax.core.arm import Arm
  from ax.core.base_trial import BaseTrial
  from ax.core.batch_trial import BatchTrial
  from ax.core.experiment import Experiment
  from ax.core.formatting_utils import data_and_evaluations_from_raw_data
  from ax.core.trial import Trial
  from ax.core.types import TEvaluationFunction, TEvaluationOutcome, TModelPredictArm, TParameterization
  from ax.core.utils import get_pending_observation_features
  from ax.exceptions.constants import CHOLESKY_ERROR_ANNOTATION
  from ax.exceptions.core import SearchSpaceExhausted, UserInputError
  from ax.modelbridge.base import ModelBridge
  from ax.modelbridge.dispatch_utils import choose_generation_strategy
  from ax.modelbridge.generation_strategy import GenerationStrategy
  from ax.modelbridge.registry import Models
  from ax.service.utils.best_point import get_best_parameters_from_model_predictions, get_best_raw_objective_point
  from ax.service.utils.instantiation import InstantiationBase, TParameterRepresentation
  from ax.utils.common.executils import retry_on_exception
  from ax.utils.common.logger import get_logger
  from ax.utils.common.typeutils import not_none
label_desc: Use image node_id 8 for calling the OptimizationLoop obj's underlying member method code with example usage: obj.full_run() and returns: self, self, self