code: def test_dtype_converion():
      dali_types = [
          types_._DALIDataType.INT8,
          types_._DALIDataType.UINT64,
          types_._DALIDataType.FLOAT16,
      ]
      np_types = list(map(dali_type_to_np, dali_types))
      for dali_type, np_type in zip(dali_types, np_types):
          pipe = dtype_pipeline(np_type, dali_type)
          pipe.build()
          assert pipe.run()[0].dtype == dali_type
  
imports: import numpy
  import nvidia.dali.fn
  import nvidia.dali.types
  import warnings
  from numpy.testing import assert_array_equal
  from nvidia.dali import pipeline_def
  from nvidia.dali.backend_impl import TensorCPU, TensorListCPU, TensorListGPU
  from nvidia.dali.backend_impl import types
  import nvidia.dali
  from nose_utils import assert_raises
  from nose import SkipTest
  from test_utils import dali_type_to_np, py_buffer_from_address, get_device_memory_info
label_desc: Use image node_id 27 for calling a global function with example usage: test_dtype_converion() without return types