code: def test_quantized_pose_estimation_models():
      model_list = [
          "simple_pose_resnet18_v1b_int8",
          "simple_pose_resnet50_v1b_int8",
          "simple_pose_resnet50_v1d_int8",
          "simple_pose_resnet101_v1b_int8",
          "simple_pose_resnet101_v1d_int8",
      ]
      ctx = mx.context.current_context()
      x = mx.random.uniform(shape=(1, 3, 256, 192), ctx=ctx)
      _test_model_list(model_list, ctx, 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 39 for calling a global function with example usage: test_quantized_pose_estimation_models() without return types