code: def forward(self, series):
      x = self.to_patch_embedding(series)
      b, n, _ = x.shape
  
      cls_tokens = repeat(self.cls_token, "d -> b d", b=b)
  
      x, ps = pack([cls_tokens, x], "b * d")
  
      x += self.pos_embedding[:, : (n + 1)]
      x = self.dropout(x)
  
      x = self.transformer(x)
  
      cls_tokens, _ = unpack(x, ps, "b * d")
  
      return self.mlp_head(cls_tokens)
  
file_path: vit-pytorch/vit_pytorch/vit_1d.py
imports: import torch
  from torch import nn
  from einops import rearrange, repeat, pack, unpack
  from einops.layers.torch import Rearrange
label_desc: Use image node_id 2 for calling the ViT obj's underlying member method code with example usage: obj.forward(series) and returns: self