code: def forward(self, batch: Any) -> Any:
      try:
          self._register_hook()
          return self.model.predict_step(batch, 0, dataloader_idx=0)
      except StopForward:
          return self._out
      finally:
          self._remove_hook()
          self._out = None
  
imports: from typing import Any, Optional
  from pytorch_lightning import LightningModule
  from torch.utils.data import DataLoader, Sampler
  import flash
  from flash.core.data.io.input import InputBase
  from flash.core.data.io.input_transform import InputTransform
  from flash.core.model import Task
label_desc: Use image node_id 9 for calling the Embedder obj's underlying member method code with example usage: obj.forward(batch) and returns: self, self