code: def testIdentifyGradientGivesCorrectTensorObjectWithoutContextManager(
      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")
  
      grads = gradients_impl.gradients(y, [self.u, self.v])
      self.assertEqual(2, len(grads))
      u_grad = grads[0]
      v_grad = grads[1]
  
      self.sess.run(variables.global_variables_initializer())
      self.assertAllClose(5.0, self.sess.run(y))
      self.assertAllClose(3.0, self.sess.run(u_grad))
      self.assertAllClose(2.0, self.sess.run(v_grad))
  
      # 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))
  
      # Fetch the gradient tensor with the x-tensor's name.
      w_grad = grad_debugger.gradient_tensor(self.w.name)
      self.assertIsInstance(w_grad, tensor.Tensor)
      self.assertAllClose(1.0, self.sess.run(w_grad))
  
      # Fetch the gradient tensor with the x-tensor name.
      w_grad = grad_debugger.gradient_tensor(self.w.name)
      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 3 for calling the IdentifyGradientTest obj's underlying member method code with example usage: obj.testIdentifyGradientGivesCorrectTensorObjectWithoutContextManager() without return types