code: def test_alpha_pose_resnet_models():
      ctx = mx.context.current_context()
      models = ["alpha_pose_resnet101_v1b_coco"]
  
      # 256x320
      x = mx.random.uniform(shape=(2, 3, 256, 320), ctx=ctx)
      _test_model_list(models, 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 8 for calling a global function with example usage: test_alpha_pose_resnet_models() without return types