code: def _is_tf_symbolic_tensor(x):
      import tensorflow as tf
  
      # the `is_symbolic_tensor` predicate is only available starting with TF 2.14
      if hasattr(tf, "is_symbolic_tensor"):
          return tf.is_symbolic_tensor(x)
      return type(x) == tf.Tensor
  
imports: import inspect
  import tempfile
  from collections import OrderedDict, UserDict
  from collections.abc import MutableMapping
  from contextlib import ExitStack, contextmanager
  from dataclasses import fields, is_dataclass
  from enum import Enum
  from typing import Any, ContextManager, Iterable, List, Tuple
  import numpy
  from .import_utils import is_flax_available, is_tf_available, is_torch_available, is_torch_fx_proxy
label_desc: Use image node_id 15 for calling a global function with example usage: _is_tf_symbolic_tensor(x) and returns: unknown, tf