code: def forward(self, x):
      out = self.model(x)
      return F.log_softmax(out, dim=1)
  
imports: import os
  from time import time
  import torch
  import torch.nn
  import torch.nn.functional
  import torchvision
  from pytorch_lightning import LightningModule, seed_everything
  from bigdl.nano.pytorch import Trainer, InferenceOptimizer
  from pytorch_lightning.callbacks import LearningRateMonitor
  from pytorch_lightning.loggers import TensorBoardLogger
  from torch.optim.lr_scheduler import OneCycleLR
  from torchmetrics.functional import accuracy
  from pl_bolts.datamodules import CIFAR10DataModule
  from pl_bolts.transforms.dataset_normalizations import cifar10_normalization
label_desc: Use image node_id 2 for calling the LitResnet obj's underlying member method code with example usage: obj.forward(x) and returns: F