code: def process_if_list(self, x):
      if isinstance(x, list) and all(
          isinstance(x_, torch.Tensor) for x_ in x
      ):
          return torch.stack(x)
      return x
  
imports: import numpy
  import torch
  from ..distances import BatchedDistance, CosineSimilarity
  from .None import common_functions
label_desc: Use image node_id 12 for calling the InferenceModel obj's underlying member method code with example usage: obj.process_if_list(x) and returns: x, torch