code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      size = x.shape[-2:]
      for mod in self:
          x = mod(x)
      return F.interpolate(
          x, size=size, mode="bilinear", align_corners=False
      )
  
imports: from collections import OrderedDict
  from typing import Dict, List
  import torch
  from torch import nn, Tensor
  from torch.nn import functional
  from .resnet_backbone import resnet50, resnet101
  from .mobilenet_backbone import mobilenet_v3_large
label_desc: Use image node_id 2 for calling the ASPPPooling obj's underlying member method code with example usage: obj.forward(x) and returns: F