code: def _get_tensor_values(tensor: common_types.TensorType) -> tf.Tensor:
      if isinstance(tensor, tf.SparseTensor):
          return tensor.values
      elif isinstance(tensor, tf.RaggedTensor):
          return tensor.flat_values
      else:
          return tensor
  
imports: import collections
  import itertools
  from typing import Any, Callable, Dict, Iterable, List, Mapping, Optional, Tuple, Union
  from absl import logging
  import tensorflow
  from tensorflow_transform import common
  from tensorflow_transform import common_types
  from tensorflow_transform import graph_context
  from tensorflow_transform import tf2_utils
  from tensorflow_transform import tf_utils
  from tensorflow_transform.saved import saved_transform_io_v2
  from tensorflow_transform.tf_metadata import schema_utils
  from tfx_bsl.tfxio import tensor_representation_util
  from google.protobuf import any_pb2
  from tensorflow.python.eager import function
  from tensorflow.python.framework import ops
  from tensorflow_metadata.proto.v0 import schema_pb2
label_desc: Use image node_id 3 for calling a global function with example usage: _get_tensor_values(tensor) and returns: tensor, tensor, tensor