docstr: A while loop with carryied dynamic shapes.
docstr_tok: ["A","while","loop","with","carryied","dynamic","shapes","."]
code: def test_while(self):
      """A while loop with carryied dynamic shapes."""
      x = np.ones((5,), dtype=np.float32)
      # Compute the result in Pyton first
      res0 = np.copy(x)
      for _ in range(5):
          res0 += np.arange(x.shape[0], dtype=np.float32)
      res1 = np.int64(5)
  
      def f(x):  # x: f32[b]
          module, version = serialize(
              """
  module @jit_fun_flat_jax attributes {jax.uses_shape_polymorphism = true} {
    func.func public @main(%arg1: tensor<?xf32>) -> (tensor<?xf32>, tensor<i64>) {
      %arg0_new = "stablehlo.get_dimension_size"(%arg1) {dimension = 0 : i64} : (tensor<?xf32>) -> tensor<i32>
      %0, %1 = call @dyn_main(%arg0_new, %arg1) : (tensor<i32>, tensor<?xf32>) -> (tensor<?xf32>, tensor<i64>)
      return %0, %1 : tensor<?xf32>, tensor<i64>
    }
    func.func private @dyn_main(%arg0: tensor<i32> {jax.global_constant = "b"}, %arg1: tensor<?xf32>) -> (tensor<?xf32>, tensor<i64>) {
      %0 = stablehlo.constant dense<0> : tensor<i64>
      %1:2 = "stablehlo.while"(%arg1, %0) ({
      ^bb0(%arg2: tensor<?xf32>, %arg3: tensor<i64>):
        %2 = stablehlo.constant dense<5> : tensor<i64>
        %3 = stablehlo.compare  LT, %arg3, %2,  SIGNED : (tensor<i64>, tensor<i64>) -> tensor<i1>
        stablehlo.return %3 : tensor<i1>
      }, {
      ^bb0(%arg2: tensor<?xf32>, %arg3: tensor<i64>):
        %2 = stablehlo.reshape %arg0 : (tensor<i32>) -> tensor<1xi32>
        %3 = stablehlo.dynamic_iota %2, dim = 0 : (tensor<1xi32>) -> tensor<?xf32>
        %4 = stablehlo.add %arg2, %3 : tensor<?xf32>
        %5 = stablehlo.constant dense<1> : tensor<i64>
        %6 = stablehlo.add %arg3, %5 : tensor<i64>
        stablehlo.return %4, %6 : tensor<?xf32>, tensor<i64>
      }) : (tensor<?xf32>, tensor<i64>) -> (tensor<?xf32>, tensor<i64>)
      return %1#0, %1#1 : tensor<?xf32>, tensor<i64>
    }
  }
  """
          )
          return xla.call_module(
              [
                  x,
              ],
              version=version,
              module=module,
              Tout=[res0.dtype, res1.dtype],
              Sout=[(None,), res1.shape],
              platforms=[self.testing_platform()],
          )
  
      self._assertOpOutputMatchesExpected(f, (x,), (res0, res1))
  
imports: import os
  import re
  from typing import Optional, Sequence
  import unittest
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.mlir.stablehlo import stablehlo
  from tensorflow.compiler.tests import xla_test
  from tensorflow.compiler.tf2xla.ops import gen_xla_ops
  from tensorflow.compiler.tf2xla.python import xla
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.platform import googletest
  from tensorflow.python.platform import test
label_desc: Use image node_id 39 for calling the XlaCallModuleOpTest obj's underlying member method code with example usage: obj.test_while() and returns: xla