code: def forward(self, x):
      return self.layers(x)
  
imports: import math
  import torch
  from omegaconf import DictConfig
  from torch import nn
  from torch.autograd import Variable
  from torch.distributions import Categorical
  from pytorch_tabular.models.common.heads import config
  from pytorch_tabular.utils import _initialize_layers, _linear_dropout_bn
label_desc: Use image node_id 2 for calling the Head obj's underlying member method code with example usage: obj.forward(x) and returns: self