code: def __init__(self, n_ctx, width, heads):
      super().__init__()
      self.n_ctx = n_ctx
      self.width = width
      self.heads = heads
      self.c_qkv = nn.Linear(width, width * 3)
      self.c_proj = nn.Linear(width, width)
      self.attention = QKVMultiheadAttention(heads, n_ctx)
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from .nn import timestep_embedding
label_desc: Use image node_id 1 to create a new MultiheadAttention object from inherited base classes: nn with example: obj = MultiheadAttention(n_ctx, width, heads)