code: def similarity_trans(self, source, target):
      sim = torch.matmul(
          F.normalize(target, p=2, dim=-1),
          F.normalize(source, p=2, dim=-1).transpose(-1, -2),
      )
      sim = F.softmax(sim, dim=-1)
      return torch.matmul(sim, source)
  
imports: import torch
  import torch.nn
  from torch.nn import Parameter
  import torch.nn.functional
  from collections import OrderedDict
  from .None import deeplab_xception, gcn
  from torch.nn.parameter import Parameter
label_desc: Use image node_id 3 for calling the deeplab_xception_transfer_projection obj's underlying member method code with example usage: obj.similarity_trans(source, target) and returns: torch