code: def testConvertToDTypeRaises(
      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
  
      with self.assertRaisesRegex(
          TypeError, "Found incompatible dtypes"
      ):
          dtype_util.convert_to_dtype(
              tensor_or_dtype, dtype, dtype_hint
          )
      with self.assertRaisesRegex(
          TypeError, "Found incompatible dtypes"
      ):
          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 9 for calling the DtypeUtilTest obj's underlying member method code with example usage: obj.testConvertToDTypeRaises(tensor_or_dtype, dtype, dtype_hint) without return types