code: def forward(self, x):
      x = x + self.drop_path(self.msa(self.ln1(x)))
      x = x + self.drop_path(self.mlp(self.ln2(x)))
      return x
  
imports: import numpy
  import torch
  import torch.nn
  from einops import rearrange
  from einops.layers.torch import Rearrange
  from timm.models.layers import trunc_normal_, DropPath
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