code: def encode_as_int_f(input, precision: int):
      if isinstance(input, torch.Tensor):
          return (input * 2**precision).astype(torch.int64)
      else:
          # torch tensor-like
          if hasattr(input, "__torch_function__"):
              return input.__torch_function__(
                  encode_as_int_f,
                  (type(input),),
                  (input, precision),
                  None,
              )
      raise NotImplementedError("")
  
file_path: FATE/python/fate/arch/tensor/_custom_ops.py
imports: import torch
label_desc: Use image node_id 10 for calling a global function with example usage: encode_as_int_f(input, precision) and returns: unknown, input