code: def testConvertToDtype(self, tensor_or_dtype, dtype, dtype_hint):
      if np.issctype(tensor_or_dtype):
          example_tensor = np.zeros([], tensor_or_dtype)
      elif isinstance(tensor_or_dtype, tf.DType):
          example_tensor = tf.zeros([], tensor_or_dtype)
      else:
          example_tensor = tensor_or_dtype
  
      # Try with the original argument.
      self.assertEqual(
          tf.convert_to_tensor(example_tensor, dtype, dtype_hint).dtype,
          dtype_util.convert_to_dtype(
              tensor_or_dtype, dtype, dtype_hint
          ),
      )
      # Try with a concrete value.
      self.assertEqual(
          tf.convert_to_tensor(example_tensor, dtype, dtype_hint).dtype,
          dtype_util.convert_to_dtype(
              example_tensor, dtype, dtype_hint
          ),
      )
  
imports: import dataclasses
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 8 for calling the DtypeUtilTest obj's underlying member method code with example usage: obj.testConvertToDtype(tensor_or_dtype, dtype, dtype_hint) without return types