code: def forward(self, x):
      # use forward for inference/predictions
      y = self.backbone(x)
      return y
  
imports: from argparse import ArgumentParser
  import os
  import os.path
  import torch
  import torch.nn
  from torch.nn import functional
  from torch.utils.data import DataLoader
  import pytorch_lightning
  from pytorch_lightning.callbacks import ModelCheckpoint
  from pytorch_lightning.callbacks import LearningRateMonitor
  from pytorch_lightning.loggers import TensorBoardLogger
  import timm
  from datasets.dataset_synthetics import FaceDataset, DataLoaderX
label_desc: Use image node_id 2 for calling the FaceSynthetics obj's underlying member method code with example usage: obj.forward(x) and returns: y