code: def forward(self, x):
      b, c, h, w = x.size()
      res1 = x
      res2 = x
      x = self.dconv1(x)
      x = self.dconv2(x)
      x = self.dconv3(x)
      x = F.interpolate(
          x, size=(h, w), mode="bilinear", align_corners=True
      )
      x_mask = self.sigmoid_spatial(x)
  
      res1 = res1 * x_mask
  
      return res2 + res1
  
imports: import torch.nn
  import torch
  import torch.nn.functional
  from torch.nn import BatchNorm2d
label_desc: Use image node_id 2 for calling the LocalAttenModule obj's underlying member method code with example usage: obj.forward(x) and returns: unknown