code: def get_backend_pair_mkl(device_id, dtype=np.float32, bench=False):
      nm = NervanaMKL(default_dtype=dtype)
      nc = NervanaCPU(default_dtype=dtype)
      return (nm, nc)
  
imports: import itertools
  import numpy
  import pytest
  import re
  from neon.backends import gen_backend
  from neon.backends.nervanacpu import NervanaCPU
  from neon.backends.nervanamkl import NervanaMKL
  from neon.layers.container import DeltasTree
label_desc: Use image node_id 15 for calling a global function with example usage: get_backend_pair_mkl(device_id, dtype, bench) and returns: nm,  nc