code: def test_rcnn_max_dets_greater_than_nms_mask_rcnn_models():
      ctx = mx.context.current_context()
      x = mx.random.uniform(shape=(1, 3, 300, 400), ctx=ctx)
      net = gcv.model_zoo.mask_rcnn_resnet18_v1b_coco(
          pretrained=False,
          pretrained_base=True,
          rcnn_max_dets=1000,
          rpn_test_pre_nms=100,
          rpn_test_post_nms=30,
      )
      with warnings.catch_warnings():
          warnings.simplefilter("ignore")
          net.initialize()
      net.collect_params().reset_ctx(ctx)
      net(x)
      mx.nd.waitall()
  
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 19 for calling a global function with example usage: test_rcnn_max_dets_greater_than_nms_mask_rcnn_models() without return types