code: def forward(self, x):
      x = self.shared(x)
      x = self.specifics(x)
      return x
  
imports: import torch
  from torch.nn import Linear, BatchNorm1d, ReLU
  import numpy
  from pytorch_tabnet import sparsemax
label_desc: Use image node_id 2 for calling the FeatTransformer obj's underlying member method code with example usage: obj.forward(x) and returns: x