code: def forward(self, x):
      return self.layers(x)
  
imports: from typing import List, Optional
  import torch
  from torch import Tensor, nn
  from ..constants import CATEGORICAL, FEATURES, LABEL, LOGITS, NUMERICAL
  from .custom_transformer import CLSToken, Custom_Transformer, _TokenInitialization
  from .utils import init_weights
label_desc: Use image node_id 4 for calling the NumEmbeddings obj's underlying member method code with example usage: obj.forward(x) and returns: self