code: def __init__(self, in_channels: int, out_channels: int) -> None:
      super(ASPPPooling, self).__init__(
          nn.AdaptiveAvgPool2d(1),
          nn.Conv2d(in_channels, out_channels, 1, bias=False),
          nn.BatchNorm2d(out_channels),
          nn.ReLU(),
      )
  
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 1 to create a new ASPPPooling object from inherited base classes: nn with example: obj = ASPPPooling(in_channels, out_channels)