code: def test_eager_const_grad_error(self):
      @def_function.function
      def f_using_eagerconst():
          x = constant_op.constant(1.0)
          graph_def = self._make_graph_def(
              """
           node { name: 'x' op: 'Placeholder'
                  attr { key: 'dtype' value { type: DT_FLOAT } }}
           node { name: 'const' op: '_EagerConst' input: 'x:0'
                  attr { key: 'T' value { type: DT_FLOAT } }}"""
          )
          x_id = importer.import_graph_def(
              graph_def,
              input_map={"x:0": x},
              return_elements=["const"],
              name="import",
          )[0].outputs[0]
          gradients_impl.gradients(x_id, x)
          return x_id
  
      with self.assertRaisesRegex(AssertionError, "Please file a bug"):
          f_using_eagerconst()
  
imports: from absl.testing import parameterized
  import numpy
  from google.protobuf import text_format
  from tensorflow.core.framework import graph_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import flexible_dtypes
  from tensorflow.python.framework import importer
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.weak_tensor import WeakTensor
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import weak_tensor_ops
  from tensorflow.python.ops import weak_tensor_test_util
  from tensorflow.python.ops.parallel_for import control_flow_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 14 for calling the WeakTensorConstantOpTest obj's underlying member method code with example usage: obj.test_eager_const_grad_error() and returns: x_id