code: def test_fusion_compiler_cache():
      # Stresses the internal cache of CUfunctions by creating the same kernel multiple times and
      # on multiple GPUs if available.
      a = mx.sym.Variable("a")
      b = mx.sym.Variable("b")
      shape = rand_shape_2d()
      arr1 = mx.random.uniform(shape=shape)
      arr2 = mx.random.uniform(shape=shape)
  
      # Invoke the same model twice, second time will exercise compile cache
      check_fused_symbol(a + b, ctx=mx.gpu(0), a=arr1, b=arr2)
      check_fused_symbol(a + b, ctx=mx.gpu(0), a=arr1, b=arr2)
  
      # On multi-GPU systems, invoke the same model on other GPUs
      num_gpus = mx.device.num_gpus()
      if num_gpus > 1:
          check_fused_symbol(a + b, ctx=mx.gpu(1), a=arr1, b=arr2)
  
file_path: mxnet/tests/python/gpu/test_fusion.py
imports: import sys
  import os
  import random
  import itertools
  import mxnet
  import numpy
  from mxnet import autograd, gluon
  from mxnet.test_utils import *
label_desc: Use image node_id 7 for calling a global function with example usage: test_fusion_compiler_cache() without return types