code: def get_gpu_type():
      """Retrieves GPU type.
  
      Returns:
        String that is the name of the detected NVIDIA GPU.
          e.g. 'Tesla K80'
  
        'unknown' will be returned if detected GPU type is an unknown name.
          Unknown name refers to any GPU name that is not specified in this page:
          https://developer.nvidia.com/cuda-gpus
      """
      global GPU_TYPE
      key = "gpu_type_no_sudo"
      gpu_dict = cuda_compute_capability.retrieve_from_golden()
      out, err = run_shell_cmd(cmds_all[PLATFORM][key])
      ret_val = out.split(b" ")
      gpu_id = ret_val[0]
      if err and FLAGS.debug:
          print("Error in detecting GPU type:\n %s" % str(err))
  
      if not isinstance(ret_val, list):
          GPU_TYPE = "unknown"
          return gpu_id, GPU_TYPE
      else:
          if "[" or "]" in ret_val[1]:
              gpu_release = ret_val[1].replace(b"[", b"") + b" "
              gpu_release += ret_val[2].replace(b"]", b"").strip(b"\n")
          else:
              gpu_release = ret_val[1].replace("\n", " ")
  
          if gpu_release not in gpu_dict:
              GPU_TYPE = "unknown"
          else:
              GPU_TYPE = gpu_release
  
          return gpu_id, GPU_TYPE
  
imports: import collections
  import json
  import re
  import subprocess
  import sys
  from absl import app
  from absl import flags
  from tensorflow.tools.tensorflow_builder.config_detector.data import cuda_compute_capability
label_desc: Use image node_id 7 for calling a global function with example usage: get_gpu_type() and returns: gpu_id,  GPU_TYPE, gpu_id,  GPU_TYPE