code: def forward(self, x):
      return self.model(x)
  
imports: from pathlib import Path
  import pytorch_lightning
  import torch
  from flash.core.serve import ModelComponent, expose
  from flash.core.serve.types import Image, Label, Number, Repeated
  from flash.core.utilities.imports import _TORCHVISION_AVAILABLE
  from torch import Tensor
label_desc: Use image node_id 2 for calling the LightningSqueezenetServable obj's underlying member method code with example usage: obj.forward(x) and returns: self