code: def test_get_all_models():
      names = gcv.model_zoo.get_model_list()
      for name in names:
          kwargs = {}
          if "custom" in name:
              kwargs["classes"] = ["a", "b"]
          if "dcnv2" in name and not hasattr(
              mx.gluon.contrib.cnn, "ModulatedDeformableConvolution"
          ):
              continue
          net = gcv.model_zoo.get_model(
              name, pretrained=False, **kwargs
          )
          assert isinstance(net, mx.gluon.Block), "{}".format(name)
  
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 1 for calling a global function with example usage: test_get_all_models() without return types