code: def test_set_nms():
      model_list = [
          "ssd_512_resnet50_v1_voc",
          "faster_rcnn_resnet50_v1b_voc",
          "yolo3_darknet53_coco",
      ]
      for model in model_list:
          net = gcv.model_zoo.get_model(
              model, pretrained=False, pretrained_base=False
          )
          net.initialize()
          net.hybridize()
          ctx = mx.context.current_context()
          x = mx.random.uniform(shape=(1, 3, 608, 768), ctx=ctx)
          net.set_nms(nms_thresh=0.45, nms_topk=400, post_nms=100)
          net(x)
          net.set_nms(nms_thresh=0.3, nms_topk=200, post_nms=50)
          net(x)
  
imports: from __future__ import print_function
  import warnings
  import logging
  import mxnet
  from mxnet.contrib.quantization import *
  from ..unittests.common import try_gpu, with_cpu
  import gluoncv
label_desc: Use image node_id 22 for calling a global function with example usage: test_set_nms() without return types