code: def forward(self, x) -> torch.tensor:
      x = self.mobilenet_gap_op(x)
      x = x.squeeze(dim=3).squeeze(dim=2)
      return x
  
imports: from PIL.Image import Image
  from typing import Callable, NamedTuple, Optional
  import torch
  import torch.nn
  from torchvision import models
  from torchvision.transforms import transforms
  from torchvision.models import vit_b_16, EfficientNet_B4_Weights
  from torchvision.models.vision_transformer import ViT_B_16_Weights
label_desc: Use image node_id 2 for calling the MobilenetV3 obj's underlying member method code with example usage: obj.forward(x) and returns: x