code: def testConvertRaggedTensorValue(
      self, value, dtype=None, preferred_dtype=None, expected_dtype=None
  ):
      if expected_dtype is None:
          expected_dtype = value.dtype if dtype is None else dtype
      converted = ragged_tensor.convert_to_tensor_or_ragged_tensor(
          value, dtype, preferred_dtype
      )
      self.assertEqual(value.ragged_rank, converted.ragged_rank)
      self.assertEqual(dtypes.as_dtype(expected_dtype), converted.dtype)
      self.assertAllEqual(value, converted)
  
file_path: tensorflow-upstream/tensorflow/python/ops/ragged/convert_to_tensor_or_ragged_tensor_op_test.py
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 3 for calling the RaggedConvertToTensorOrRaggedTensorTest obj's underlying member method code with example usage: obj.testConvertRaggedTensorValue(value, dtype, preferred_dtype, expected_dtype) without return types