code: def test_poly_unranked(self):
      x = np.arange(6, dtype=np.float32).reshape((2, 3))
  
      def f(x):  # x: f32[2, b]
          # sin(x)
          module, version = serialize(
              """
  module @jit_f.0 attributes {jax.uses_shape_polymorphism = true} {
    func.func public @main(%arg1: tensor<*xf32>) -> tensor<*xf32> {
      %0 = stablehlo.sine %arg1 : tensor<*xf32>
      return %0 : tensor<*xf32>
    }
  }
  """
          )
          return xla.call_module(
              [x],
              module=module,
              version=version,
              Tout=[x.dtype],
              Sout=[
                  (None, None),
              ],
              platforms=[self.testing_platform()],
          )
  
      self._assertOpOutputMatchesExpected(f, (x,), (np.sin(x),))
  
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 10 for calling the XlaCallModuleOpTest obj's underlying member method code with example usage: obj.test_poly_unranked() and returns: xla