code: def _to_string(dataset_id) -> str:
      """Converts `dataset_id` to string."""
  
      if isinstance(dataset_id, tensor.Tensor):
          return (
              dataset_id
              if dataset_id.dtype == dtypes.string
              else string_ops.as_string(dataset_id)
          )
      return (
          dataset_id.decode()
          if isinstance(dataset_id, bytes)
          else str(dataset_id)
      )
  
imports: import enum
  import functools
  from typing import Callable
  from tensorflow.core.protobuf import data_service_pb2
  from tensorflow.python import tf2
  from tensorflow.python.data.experimental.ops import compression_ops
  from tensorflow.python.data.experimental.service import _pywrap_server_lib
  from tensorflow.python.data.experimental.service import _pywrap_utils
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.data.ops import structured_function
  from tensorflow.python.data.ops.options import AutoShardPolicy
  from tensorflow.python.data.ops.options import ExternalStatePolicy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import gen_experimental_dataset_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.saved_model import nested_structure_coder
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 6 for calling a global function with example usage: _to_string(dataset_id) and returns: unknown, unknown