code: def __init__(self, attn: TimmAttention, op=None):
      super().__init__()
      self.op = None
      self.num_heads = attn.num_heads
      self.scale = attn.scale
  
      self.qkv = attn.qkv
      self.attn_drop = attn.attn_drop
      self.proj = attn.proj
      self.proj_drop = attn.proj_drop
  
imports: import itertools
  from functools import partial, reduce
  from typing import Iterator
  import timm
  import torch
  import torch.nn
  from timm.models.layers import Mlp
  from timm.models.vision_transformer import Attention
  from timm.models.vision_transformer import Block
  from torch.utils import benchmark
  from utils import benchmark_main_helper
  import xformers.ops
label_desc: Use image node_id 1 to create a new TimmMemEffAttention object from inherited base classes: nn with example: obj = TimmMemEffAttention(attn, op)