code: def einsum_op_compvis(q, k, v):
      s = einsum("b i d, b j d -> b i j", q, k)
      s = s.softmax(dim=-1, dtype=s.dtype)
      return einsum("b i j, b j d -> b i d", s, v)
  
imports: from __future__ import annotations
  import math
  import psutil
  import platform
  import torch
  from torch import einsum
  from ldm.util import default
  from einops import rearrange
  from modules import shared, errors, devices, sub_quadratic_attention
  from modules.hypernetworks import hypernetwork
  import ldm.modules.attention
  import ldm.modules.diffusionmodules.model
  import sgm.modules.attention
  import sgm.modules.diffusionmodules.model
label_desc: Use image node_id 5 for calling a global function with example usage: einsum_op_compvis(q, k, v) and returns: einsum