code: def __init__(self, hidden_dim, n_heads, dropout=0.1):
      super().__init__()
  
      self.hidden_dim = hidden_dim
      self.head_dim = hidden_dim // n_heads
      self.n_heads = n_heads
  
      self.q_proj = nn.Linear(hidden_dim, hidden_dim)
      self.v_proj = nn.Linear(hidden_dim, hidden_dim)
      self.k_proj = nn.Linear(hidden_dim, hidden_dim)
      self.dropout = nn.Dropout(dropout)
      self.output_proj = nn.Linear(hidden_dim, hidden_dim)
  
imports: import torch
  import torch.nn
  import torch.nn.functional
  import math
  import copy
label_desc: Use image node_id 1 to create a new MultiHeadAttention object from inherited base classes: nn with example: obj = MultiHeadAttention(hidden_dim, n_heads, dropout)