code: def forward(self, x):
      # use forward for inference/predictions
      y = self.backbone(x)
      return y
  
file_path: insightface/reconstruction/gaze/models.py
imports: import pytorch_lightning
  from pytorch_lightning.callbacks import ModelCheckpoint
  from pytorch_lightning.callbacks import LearningRateMonitor
  from pytorch_lightning.loggers import TensorBoardLogger
  import torch
  import torch.nn
  import timm
label_desc: Use image node_id 2 for calling the GazeModel obj's underlying member method code with example usage: obj.forward(x) and returns: y