code: def einsum_op_mps_v2(q, k, v):
      if mem_total_gb > 8 and q.shape[0] * q.shape[1] <= 2**16:
          return einsum_op_compvis(q, k, v)
      else:
          return einsum_op_slice_0(q, k, v, 1)
  
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 9 for calling a global function with example usage: einsum_op_mps_v2(q, k, v) and returns: einsum_op_compvis, einsum_op_slice_0