code: def try_evaluate_constant(tensor):  # pylint: disable=invalid-name
      """Evaluates a symbolic tensor as a constant.
  
      Args:
        tensor: a symbolic Tensor.
  
      Returns:
        ndarray if the evaluation succeeds, or None if it fails.
      """
      # pylint: disable=protected-access
      with tensor.graph._c_graph.get() as c_graph:
          return c_api.TF_TryEvaluateConstant_wrapper(
              c_graph, tensor._as_tf_output()
          )
  
imports: import typing
  from typing import Protocol
  import numpy
  from tensorflow.core.framework import tensor_pb2
  from tensorflow.core.framework import tensor_shape_pb2
  from tensorflow.python.client import pywrap_tf_session
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors_impl
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.types import core
  from tensorflow.python.types import internal
  from tensorflow.python.util import compat
  from tensorflow.python.util import nest
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 31 for calling a global function with example usage: try_evaluate_constant(tensor) and returns: c_api