code: def testCountingLoopHandrolled(self):
      # Define a function for the loop body
      @function.Defun(dtypes.int32, dtypes.float32)
      def loop_body(step, rsum):
          step_out = step + constant_op.constant(1, dtype=dtypes.int32)
          sum_out = rsum + constant_op.constant(
              1.5, dtype=dtypes.float32
          )
          return step_out, sum_out
  
      # Define a function for the loop condition
      @function.Defun(dtypes.int32, dtypes.float32)
      def loop_cond(step, rsum):
          del rsum
          return step < 10
  
      with self.session() as sess:
          init_index = array_ops.placeholder(dtypes.int32, [])
          init_sum = array_ops.placeholder(dtypes.float32, [])
          with self.test_scope():
              loop_outputs = xla.while_loop(
                  [init_index, init_sum], loop_cond, loop_body
              )
  
          result = sess.run(
              loop_outputs, {init_index: 0, init_sum: 0.0}
          )
          self.assertAllClose(result, [10, 15.0], rtol=1e-3)
          no_iters_result = sess.run(
              loop_outputs, {init_index: 10, init_sum: 0.0}
          )
          self.assertAllClose(no_iters_result, [10, 0.0], rtol=1e-3)
  
imports: import os
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.compiler.tf2xla.python import xla
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import function
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import map_fn
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import while_loop
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the WhileTest obj's underlying member method code with example usage: obj.testCountingLoopHandrolled() and returns: step_out,  sum_out, unknown