code: def predict(self, x):
      host_x = None
      if self._has_ctx:
          host_x = self.ctx.hosts.get(
              self._pred_suffix.format(self._pred_count)
          )
          self._pred_count += 1
          host_x = [t.from_numpy(h) for h in host_x]
      with torch.no_grad():
          out = self._forward(x, host_x)
          return out
  
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 8 for calling the AggLayerGuest obj's underlying member method code with example usage: obj.predict(x) and returns: out