docstr: Serialize the properties needed to initialize the runner.
  Used for storage.
  
  WARNING: Because of issues with consistently saving and loading BoTorch and
  GPyTorch modules the SurrogateRunner cannot be serialized at this time. At load
  time the runner will be replaced with a SyntheticRunner.
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code: def serialize_init_args(cls, obj: Any) -> Dict[str, Any]:
      """Serialize the properties needed to initialize the runner.
      Used for storage.
  
      WARNING: Because of issues with consistently saving and loading BoTorch and
      GPyTorch modules the SurrogateRunner cannot be serialized at this time. At load
      time the runner will be replaced with a SyntheticRunner.
      """
      return {}
  
imports: from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Tuple
  import pandas
  import torch
  from ax.benchmark.benchmark_problem import BenchmarkProblemBase
  from ax.core.base_trial import BaseTrial, TrialStatus
  from ax.core.data import Data
  from ax.core.metric import Metric, MetricFetchE, MetricFetchResult
  from ax.core.observation import ObservationFeatures
  from ax.core.optimization_config import MultiObjectiveOptimizationConfig, OptimizationConfig
  from ax.core.parameter import RangeParameter
  from ax.core.runner import Runner
  from ax.core.search_space import SearchSpace
  from ax.core.types import TParameterization
  from ax.modelbridge.transforms.int_to_float import IntToFloat
  from ax.modelbridge.transforms.log import Log
  from ax.models.torch.botorch_modular.surrogate import Surrogate
  from ax.utils.common.base import Base
  from ax.utils.common.equality import equality_typechecker
  from ax.utils.common.result import Err, Ok
  from ax.utils.common.serialization import TClassDecoderRegistry, TDecoderRegistry
  from ax.utils.common.typeutils import not_none
  from botorch.utils.datasets import SupervisedDataset
label_desc: Use image node_id 5 for calling the SurrogateRunner obj's underlying member method code with example usage: obj.serialize_init_args(cls, obj) and returns: dict