code: def predict_step(self, state: State, data: Batch) -> torch.Tensor:
      inputs, targets = data
  
      outputs = self.module(inputs)
      return outputs
  
imports: from typing import Iterable, Iterator, Optional, Tuple
  import torch
  from torch import nn, Tensor
  from torch.utils.data import DataLoader, Dataset, IterableDataset, TensorDataset
  from torchtnt.framework.auto_unit import AutoUnit
  from torchtnt.framework.state import EntryPoint, PhaseState, State
  from torchtnt.framework.unit import EvalUnit, PredictUnit, TrainUnit
  from torchtnt.utils.lr_scheduler import TLRScheduler
label_desc: Use image node_id 2 for calling the DummyPredictUnit obj's underlying member method code with example usage: obj.predict_step(state, data) and returns: outputs