code: def slice_f(input, arg):
      if isinstance(input, torch.Tensor):
          return input[arg]
  
      else:
          # torch tensor-like
          if hasattr(input, "__torch_function__"):
              out = input.__torch_function__(
                  slice_f, (type(input),), (input, arg), None
              )
              if out == NotImplemented:
                  raise NotImplementedError(f"slice_f: {input}")
              return out
  
      raise NotImplementedError(f"slice_f: {input}")
  
file_path: FATE/python/fate/arch/tensor/_custom_ops.py
imports: import torch
label_desc: Use image node_id 9 for calling a global function with example usage: slice_f(input, arg) and returns: input, out