code: def predict(self, x):
      with torch.no_grad():
          if self._model is not None:
              out_ = self._model(x)
          else:
              out_ = x
          self.ctx.guest.put(
              self._pred_suffix.format(self._pred_count),
              out_.detach().cpu().numpy(),
          )
          self._pred_count += 1
  
imports: import torch
  from typing import List, Literal
  import torch
  from fate.arch import Context
  from torch.nn.modules.module import T
label_desc: Use image node_id 7 for calling the AggLayerHost obj's underlying member method code with example usage: obj.predict(x) without return types