code: def __init__(self, d_model: int, n_head: int, attn_mask=None):
      super().__init__()
  
      self.attn = MultiHeadAttention(d_model, n_head)
      self.ln_1 = nn.LayerNorm(d_model)
      self.mlp = nn.Sequential(
          ("c_fc", nn.Linear(d_model, d_model * 4)),
          ("gelu", QuickGELU()),
          ("c_proj", nn.Linear(d_model * 4, d_model)),
      )
      self.ln_2 = nn.LayerNorm(d_model)
      self.attn_mask = attn_mask
  
imports: from typing import Optional
  import paddle
  import paddle.nn
  from paddle import Tensor
  from paddle.nn import functional
  from paddle.nn import Linear
label_desc: Use image node_id 1 to create a new ResidualAttentionBlock object from inherited base classes: nn with example: obj = ResidualAttentionBlock(d_model, n_head, attn_mask)