code: def forward(self, x, labels):
      x = self.backbone(x)
      if x.is_consistent:
          x = x.to_consistent(sbp=flow.sbp.broadcast)
      x = self.fc(x, labels)
      return x
  
imports: import oneflow
  from oneflow.nn.parallel import DistributedDataParallel
  from utils.ofrecord_data_utils import OFRecordDataLoader, SyntheticDataLoader
  from utils.utils_logging import AverageMeter
  from utils.utils_callbacks import CallBackVerification, CallBackLogging, CallBackModelCheckpoint
  from backbones import get_model
  from graph import TrainGraph, EvalGraph
  from utils.losses import CrossEntropyLoss_sbp
  import logging
label_desc: Use image node_id 2 for calling the Train_Module obj's underlying member method code with example usage: obj.forward(x, labels) and returns: x