code: def forward(self, x):
      h = x
      x = self.attention_norm(x)
      x, weights = self.attention(x)
      x = x + h
  
      h = x
      x = self.ffn_norm(x)
      x = self.ffn(x)
      x = x + h
      return x, weights
  
imports: import copy
  import math
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from medicalseg.cvlibs import manager
  from medicalseg.utils import load_pretrained_model
label_desc: Use image node_id 2 for calling the Block obj's underlying member method code with example usage: obj.forward(x) and returns: x,  weights