code: def supports_igemmlt(device: torch.device) -> bool:
      """check if this device supports the optimized int8 kernel"""
      if torch.cuda.get_device_capability(device=device) < (7, 5):
          return False
      device_name = torch.cuda.get_device_name(device=device)
      nvidia16_models = (
          "GTX 1630",
          "GTX 1650",
          "GTX 1660",
      )  # https://en.wikipedia.org/wiki/GeForce_16_series
      if any(
          model_name in device_name for model_name in nvidia16_models
      ):
          return False  # these devices are technically cuda 7.5-capable, but they lack tensor cores
      return True
  
imports: import operator
  import warnings
  from dataclasses import dataclass
  from functools import reduce
  from typing import Tuple, Optional, List
  from warnings import warn
  import torch
  import bitsandbytes.functional
label_desc: Use image node_id 4 for calling a global function with example usage: supports_igemmlt(device) and returns: True, False, False