code: def forward(self, img):
      x = self.to_patch_embedding(img)
      b, n, _ = x.shape
  
      cls_tokens = repeat(self.cls_token, "() n d -> b n d", b=b)
      x = torch.cat((cls_tokens, x), dim=1)
      x += self.pos_embedding[:, : (n + 1)]
      x = self.dropout(x)
  
      x = self.transformer(x)
  
      return self.mlp_head(x[:, 0])
  
imports: from math import sqrt
  import torch
  from torch import nn, einsum
  import torch.nn.functional
  from einops import rearrange, repeat
  from einops.layers.torch import Rearrange
label_desc: Use image node_id 2 for calling the LocalViT obj's underlying member method code with example usage: obj.forward(img) and returns: self