code: def setUp(self):
      rewriter_config = rewriter_config_pb2.RewriterConfig(
          disable_model_pruning=True,
          dependency_optimization=rewriter_config_pb2.RewriterConfig.OFF,
      )
      graph_options = config_pb2.GraphOptions(
          rewrite_options=rewriter_config
      )
      config = config_pb2.ConfigProto(graph_options=graph_options)
      self.sess = session.Session(config=config)
      with self.sess.as_default():
          self.u = variables.Variable(2.0, name="u")
          self.v = variables.Variable(3.0, name="v")
          self.w = math_ops.multiply(
              self.u.value(), self.v.value(), name="w"
          )
  
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 1 for calling the IdentifyGradientTest obj's underlying member method code with example usage: obj.setUp() without return types