code: def test_capture_variable_1(self):
      if "gpu" in self.device.lower():
          self.skipTest("Skip test on GPU")
  
      with ops.device("device:{}:0".format(self.device)):
          v1 = variables.Variable([0.1, 0.1])
          v3 = variables.Variable([1], dtype=dtypes.int32)
  
          @polymorphic_function.function(jit_compile=True)
          def f4(a, b):
              return (a + b) * v1 - math_ops.cast(v3, dtypes.float32)
  
          a = constant_op.constant([1.1, 1.1])
          b = constant_op.constant([2.2, 2.2])
  
          kwargs = {"b": a, "a": b}
          self._compareTwoMethodsCompilerIROutput(f4, [], kwargs)
  
imports: from tensorflow.compiler.tests import xla_test
  from tensorflow.python.eager.polymorphic_function import compiler_ir
  from tensorflow.python.eager.polymorphic_function import polymorphic_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.util import nest
label_desc: Use image node_id 9 for calling the CompilerIrTest obj's underlying member method code with example usage: obj.test_capture_variable_1() and returns: unknown