code: def testDefunInheritsJitScope(self):
      with self.session(graph=ops.Graph()):
          with jit.experimental_jit_scope(True):
  
              @function.Defun(compiled=True, noinline=True)
              def mulop(x1, x2):
                  return x1 * x2
  
              x = constant_op.constant(1.0)
              r = mulop(x, x)
  
          # Ensure the forward function is compiled.
          graph_def = r.graph.as_graph_def()
          func_attrs = graph_def.library.function[0].attr
          self.assertTrue(func_attrs["_XlaCompile"].b)
          # Ensure _XlaScope is inherited from enclosing context.
          self.assertEqual(b"jit_scope_0", func_attrs["_XlaScope"].s)
  
imports: from absl.testing import parameterized
  from tensorflow.python.compiler.xla import jit
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import function
  from tensorflow.python.framework import op_def_registry
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import gradients
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the JITTest obj's underlying member method code with example usage: obj.testDefunInheritsJitScope() and returns: unknown