code: def forward(self, x):
      pool = self.gap(x)
      return F.interpolate(
          pool, x.size()[2:], mode="bilinear", align_corners=True
      )
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from contextlib import ExitStack
  from .resnet import ResNetBackbone
  from .basic_blocks import select_activation_function
  from .basic_blocks import SeparableConv2d
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