code: def run_multiple(
      cls,
      device,
      model,
      list_example_inputs,
      options=None,
      constraints=None,
  ):
      so_path = AOTIRunnerUtil.compile(
          model,
          list_example_inputs[0],
          options=options,
          constraints=constraints,
      )
      optimized = AOTIRunnerUtil.load(device, so_path)
      list_output_tensors = []
      for example_inputs in list_example_inputs:
          list_output_tensors.append(optimized(example_inputs))
      return list_output_tensors
  
file_path: pytorch/test/inductor/test_aot_inductor_utils.py
imports: import torch
  import torch._export
  import torch._inductor
  import torch.fx._pytree
  from torch.testing._internal.common_utils import IS_FBCODE
  from torch.utils import _pytree
label_desc: Use image node_id 5 for calling the AOTIRunnerUtil obj's underlying member method code with example usage: obj.run_multiple(cls, device, model, list_example_inputs, options, constraints) and returns: list_output_tensors