code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      _res = []
      for conv in self.convs:
          _res.append(conv(x))
      res = torch.cat(_res, dim=1)
      return self.project(res)
  
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 ASPP obj's underlying member method code with example usage: obj.forward(x) and returns: self