code: def check_default_dtype(op_list):
      for op_name in op_list:
          print("Default dtype test:", op_name)
          workloads = DtypeOpArgMngr.get_workloads(op_name)
          strs = op_name.split(".")
          if len(strs) == 1:
              op = getattr(np, op_name)
          elif len(strs) == 2:
              op = getattr(getattr(np, strs[0]), strs[1])
          else:
              assert False
          assert workloads is not None, (
              "Workloads for operator `{}` has not been "
              "added for checking default dtype with the "
              "official NumPy and the deep NumPy.".format(op_name)
          )
          for workload in workloads:
              check_np_default_dtype(
                  op, *workload["args"], **workload["kwargs"]
              )
              check_deepnp_default_dtype(
                  op, *workload["args"], **workload["kwargs"]
              )
  
imports: from __future__ import absolute_import
  import numpy
  import mxnet
  from mxnet import npx
  from mxnet import numpy
  from mxnet.test_utils import use_np, use_np_default_dtype
label_desc: Use image node_id 21 for calling a global function with example usage: check_default_dtype(op_list) without return types