code: def forward(self, x):
      en = self.encoding(x)
      b, c, _, _ = x.size()
      gamma = self.fc(en)
      y = gamma.view(b, c, 1, 1)
      outputs = [F.relu_(x + x * y)]
      if self.se_loss:
          outputs.append(self.selayer(en))
      return tuple(outputs)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from pywick.models.segmentation.da_basenets.segbase import SegBaseModel
  from pywick.models.segmentation.da_basenets.fcn import _FCNHead
label_desc: Use image node_id 2 for calling the EncModule obj's underlying member method code with example usage: obj.forward(x) and returns: tuple