code: def simple_forward():
      ctx = mx.gpu()
      mx.profiler.set_config(profile_all=True)
      mx.profiler.set_state("run")
  
      # define simple gluon network with random weights
      net = nn.Sequential()
      net.add(nn.Dense(128, activation="relu"))
      net.add(nn.Dense(64, activation="relu"))
      net.add(nn.Dense(10))
      net.initialize(mx.init.Xavier(magnitude=2.24), ctx=ctx)
  
      input = mx.nd.zeros((128,), ctx=ctx)
      predictions = net(input)
      print("Ran simple NN forward, results:")
      print(predictions.asnumpy())
  
label_desc: Use image node_id 1 for calling a global function with example usage: simple_forward() without return types