code: def testShareVariablesDifferentGraphs(self):
      def add_v1(x):
          v = variables.Variable(3, name="v")
          return v + x
  
      def subtract_v1(x):
          v = variables.Variable(4, name="v")
          return v - x
  
      def different_variable_fn_v1(x):
          with ops.name_scope("different_scope"):
              v = variables.Variable(5, name="v")
          return v * x
  
      def increment_variable_v1(x):
          v = variables.Variable(6, name="v")
          return v.assign_add(x)
  
      signature = [tensor_spec.TensorSpec([], dtypes.int32)]
      vh = wrap_function.VariableHolder(share_variables=True)
      new_graph = lambda: wrap_function.WrappedGraph(variable_holder=vh)
  
      add = new_graph().wrap_function(add_v1, signature)
      subtract = new_graph().wrap_function(subtract_v1, signature)
      different_variable_fn = new_graph().wrap_function(
          different_variable_fn_v1, signature
      )
      increment_variable = new_graph().wrap_function(
          increment_variable_v1, signature
      )
  
      self.assertEqual(10, add(constant_op.constant(7)).numpy())
      self.assertEqual(
          35, different_variable_fn(constant_op.constant(7)).numpy()
      )
  
      # Because the variable in add_v1 was created first, its starting value is 3
      # instead of the values defined in subtract_v1 or increment_variable_v1.
      self.assertEqual(-4, subtract(constant_op.constant(7)).numpy())
      self.assertEqual(
          10, increment_variable(constant_op.constant(7)).numpy()
      )
  
      # Check that variable updates
      self.assertEqual(17, add(constant_op.constant(7)).numpy())
      self.assertEqual(3, subtract(constant_op.constant(7)).numpy())
  
      # Sanity check - result from this function shouldn't change.
      self.assertEqual(
          35, different_variable_fn(constant_op.constant(7)).numpy()
      )
  
      self.assertAllEqual(
          {"v", "different_scope/v"}, set(vh.variables.keys())
      )
  
imports: import os
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import wrap_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import importer
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import state_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
  from tensorflow.python.training import saver
label_desc: Use image node_id 4 for calling the WrappedGraphTest obj's underlying member method code with example usage: obj.testShareVariablesDifferentGraphs() and returns: unknown, unknown, unknown, v