code: def forward(self, x):
      if self.prenorm:
          x = self.norm1(x + self.drop_path(self.mixer(x)))
          x = self.norm2(x + self.drop_path(self.mlp(x)))
      else:
          x = x + self.drop_path(self.mixer(self.norm1(x)))
          x = x + self.drop_path(self.mlp(self.norm2(x)))
      return x
  
imports: from paddle import ParamAttr
  from paddle.nn.initializer import KaimingNormal
  import numpy
  import paddle
  import paddle.nn
  from paddle.nn.initializer import TruncatedNormal, Constant, Normal
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