code: def test_two_stage_ctx_loading():
      model_name = "yolo3_darknet53_coco"
      ctx = mx.test_utils.default_context()
      if str(ctx).startswith("cpu"):
          # meaningless
          return
      net = gcv.model_zoo.get_model(model_name, pretrained=True)
      net.save_parameters(model_name + ".params")
      net = gcv.model_zoo.get_model(
          model_name, pretrained=False, ctx=ctx
      )
      net.load_parameters(model_name + ".params", ctx=ctx)
  
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 21 for calling a global function with example usage: test_two_stage_ctx_loading() without return types