code: def forward(self, features):
      outputs = {}
  
      if self.binary_linear:
          outputs["binary"] = self.binary_linear(features)
  
      if self.categorical_linears:
          outputs["categorical"] = [
              linear(features) for linear in self.categorical_linears
          ]
  
      if self.numerical_linear:
          outputs["continuous"] = self.numerical_linear(features)
  
      return outputs
  
imports: import torch.nn
label_desc: Use image node_id 2 for calling the MultiTaskHead obj's underlying member method code with example usage: obj.forward(features) and returns: outputs