code: def __init__(
      self,
      dim,
      num_heads=8,
      attention_dropout=0.1,
      projection_dropout=0.1,
  ):
      super().__init__()
      self.heads = num_heads
      head_dim = dim // self.heads
      self.scale = head_dim**-0.5
  
      self.qkv = nn.Linear(dim, dim * 3, bias=False)
      self.attn_drop = nn.Dropout(attention_dropout)
      self.proj = nn.Linear(dim, dim)
      self.proj_drop = nn.Dropout(projection_dropout)
  
imports: import torch
  from torch import nn, einsum
  import torch.nn.functional
  from einops import rearrange, repeat
label_desc: Use image node_id 1 to create a new Attention object from inherited base classes: nn with example: obj = Attention(dim, num_heads, attention_dropout, projection_dropout)