class_docstr: Appends the [CLS] token for BERT-like inference.
docstr: Perform the forward pass.
docstr_tok: ["Perform","the","forward","pass","."]
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      """Perform the forward pass."""
      assert x.ndim == 3
      return torch.cat(
          [x, self.weight.view(1, 1, -1).repeat(len(x), 1, 1)], dim=1
      )
  
imports: import math
  from typing import Optional
  import torch
  from einops import rearrange
  from torch import einsum, nn
  from pytorch_tabular.utils import _initialize_kaiming
  from .gated_units import GEGLU, PositionWiseFeedForward, ReGLU, SwiGLU
label_desc: Use image node_id 2 for calling the AppendCLSToken obj's underlying member method code with example usage: obj.forward(x) and returns: torch