code: def test_fusion_cycle():
      class Test(gluon.nn.HybridBlock):
          def __init__(self, **kwargs):
              super(Test, self).__init__(**kwargs)
  
          def forward(self, x, y):
              x = mx.npx.relu(x)
              y = mx.npx.relu(y)
              z1 = mx.np.expand_dims(mx.np.sum(x, axis=1), axis=1)
              z2 = mx.np.expand_dims(mx.np.sum(y, axis=1), axis=1)
              return x + z2, y + z1
  
      t = Test()
      a = mx.np.zeros(shape=(10, 1), ctx=mx.gpu())
      b = mx.np.zeros(shape=(10, 1), ctx=mx.gpu())
      t.hybridize(static_alloc=True, static_shape=True)
      out = t(a, b)
      mx.npx.waitall()
  
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 11 for calling a global function with example usage: test_fusion_cycle() and returns: unknown,  unknown