code: def testIdentifyGradientTensorWorksWithGradientDescentOptimizer(self):
      grad_debugger = debug_gradients.GradientsDebugger()
      id_grad_w = grad_debugger.identify_gradient(self.w)
      y = math_ops.add(id_grad_w, -1.0, name="y")
  
      with grad_debugger:
          gradient_descent.GradientDescentOptimizer(0.1).minimize(y)
  
      self.sess.run(variables.global_variables_initializer())
  
      # Fetch the gradient tensor with the x-tensor object.
      w_grad = grad_debugger.gradient_tensor(self.w)
      self.assertIsInstance(w_grad, tensor.Tensor)
      self.assertAllClose(1.0, self.sess.run(w_grad))
  
imports: import tempfile
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.debug.lib import debug_data
  from tensorflow.python.debug.lib import debug_gradients
  from tensorflow.python.debug.lib import debug_utils
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import googletest
  from tensorflow.python.training import gradient_descent
label_desc: Use image node_id 9 for calling the IdentifyGradientTest obj's underlying member method code with example usage: obj.testIdentifyGradientTensorWorksWithGradientDescentOptimizer() without return types