code: def forward(self, hidden_states):
      hidden_states = self.norm(self.nonlin(self.dense(hidden_states)))
      return hidden_states
  
imports: import torch
  import math
  from typing import Optional, Tuple
  from functools import partial
  from .embeddings import SinusoidalPositional, LearnablePositional, ScaledSinosoidal
  from .attention import get_attention_mechanism
label_desc: Use image node_id 2 for calling the PredictionHeadComponent obj's underlying member method code with example usage: obj.forward(hidden_states) and returns: hidden_states