code: def forward(self, x):
      global_feature = self.psa(x)
      out = self.conv_post(global_feature)
      out = torch.cat([x, out], dim=1)
      out = self.project(out)
  
      return out
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  from pywick.models.segmentation.da_basenets.basic import _ConvBNReLU
  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 _PSAHead obj's underlying member method code with example usage: obj.forward(x) and returns: out