code: def get_backend_pair(device_id, dtype=np.float32, bench=False):
      from neon.backends.nervanagpu import NervanaGPU
  
      ng = NervanaGPU(
          default_dtype=dtype, bench=bench, device_id=device_id
      )
      nc = NervanaCPU(default_dtype=dtype)
      return (ng, nc)
  
imports: import itertools
  import numpy
  import pytest
  import re
  import os
  import sys
  from neon.backends import gen_backend
  from neon.backends.nervanacpu import NervanaCPU
  from neon.layers.container import DeltasTree
label_desc: Use image node_id 11 for calling a global function with example usage: get_backend_pair(device_id, dtype, bench) and returns: ng,  nc