code: def forward(self, x):
      fm_size = x.size()[2]
      scale_weight = F.avg_pool2d(x, fm_size)
      scale_weight = F.relu(self.SE1(scale_weight))
      scale_weight = F.sigmoid(self.SE2(scale_weight))
      x = x * scale_weight.expand_as(x)
      out = self.up(x)
      return out
  
file_path: pywick/pywick/models/segmentation/testnets/unet_se.py
imports: import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the UNetDec obj's underlying member method code with example usage: obj.forward(x) and returns: out