code: def forward(self, x):
      x = super().forward(x)
  
      theta_b = F.relu(self.theta_b_fc(x))
      theta_f = F.relu(self.theta_f_fc(x))
  
      return self.backcast_fc(theta_b), self.forecast_fc(theta_f)
  
imports: from typing import Tuple
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the NBEATSGenericBlock obj's underlying member method code with example usage: obj.forward(x) and returns: self,  self