code: def test_forward_maxpooling():
      """test maxpooling layer"""
      net = _lib().make_network(1)
      layer = _lib().make_maxpool_layer(1, 224, 224, 3, 2, 2, 0)
      net.layers[0] = layer
      net.w = net.h = 224
      _lib().resize_network(net, 224, 224)
      verify_darknet_frontend(net)
      _lib().free_network(net)
  
imports: from cffi import FFI
  import numpy
  import tvm
  from tvm.contrib import graph_executor
  from tvm.contrib.download import download_testdata
  from tvm.relay.testing.darknet import LAYERTYPE
  from tvm.relay.testing.darknet import __darknetffi__
  from tvm.relay.frontend.darknet import ACTIVATION
  from tvm import relay
label_desc: Use image node_id 18 for calling a global function with example usage: test_forward_maxpooling() without return types