code: def test_weak_tensor_gradient(self):
      x = WeakTensor.from_tensor(constant_op.constant([3.0, 4.0, 5.0]))
      with backprop.GradientTape() as g:
          g.watch(x)
          y = x
      dy_dx = g.gradient(y, x)
      self.assertAllEqual(dy_dx, [1.0, 1.0, 1.0])
      self.assertIsInstance(dy_dx, WeakTensor)
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  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 errors
  from tensorflow.python.framework import extension_type
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.weak_tensor import EagerWeakTensor
  from tensorflow.python.framework.weak_tensor import GraphWeakTensor
  from tensorflow.python.framework.weak_tensor import WeakTensor
  from tensorflow.python.module import module
  from tensorflow.python.platform import googletest
  from tensorflow.python.saved_model.load import load
  from tensorflow.python.saved_model.save import save
  from tensorflow.python.types import core
label_desc: Use image node_id 10 for calling the WeakTensorTest obj's underlying member method code with example usage: obj.test_weak_tensor_gradient() without return types