code: def forward(self, x):
      x = x + self.drop_path(self.attn(self.norm1(x)))
      x = x + self.drop_path(self.mlp(self.norm2(x)))
  
      return x
  
imports: from collections.abc import Callable
  import numpy
  import paddle
  import paddle.nn
  from paddle.nn.initializer import TruncatedNormal, Constant, Normal
  from ppdet.core.workspace import register, serializable
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