code: def forward(self, x):
      ce = self.cls.add(Tensor.zeros(x.shape[0], 1, 1))
      pe = self.patch_embed(x)
      x = ce.cat(pe, dim=1)
      x = x.add(self.pos_embedding).sequential(self.tbs)
      x = x.layernorm().linear(*self.encoder_norm)
      return x[:, 0].linear(*self.head)
  
file_path: tinygrad/extra/models/vit.py
imports: import numpy
  from tinygrad.tensor import Tensor
  from tinygrad.helpers import fetch
  from extra.models.transformer import TransformerBlock
label_desc: Use image node_id 3 for calling the ViT obj's underlying member method code with example usage: obj.forward(x) and returns: x