code: def forward(
      self, hidden_states, attention_mask: Optional[torch.Tensor] = None
  ):
      return self.dense(
          self.self_attention(hidden_states, attention_mask)
      )
  
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 AttentionComponent obj's underlying member method code with example usage: obj.forward(hidden_states, attention_mask) and returns: self