docstr: Call the op multiple times with different output buffers.
docstr_tok: ["Call","the","op","multiple","times","with","different","output","buffers","."]
code: def test_run_op_multiple_times(self):
      """Call the op multiple times with different output buffers."""
  
      @def_function.function(jit_compile=True)
      def compiled_f():
          x = random_ops.random_normal([2, 2])
          y = test_ops_for_light_outside_compilation.test_static_tf(x)
          return (x, y)
  
      with context.device("/gpu:0"):
          x, y = compiled_f()
          self.assertAllClose(x, y)
  
          x1, y1 = compiled_f()
          self.assertAllClose(x1, y1)
  
imports: from tensorflow.compiler.mlir.python.mlir_wrapper import filecheck_wrapper
  from tensorflow.compiler.tf2xla import test_ops_for_light_outside_compilation
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.platform import googletest
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the LightOutsideCompilationTest obj's underlying member method code with example usage: obj.test_run_op_multiple_times() and returns: x,  y