code: def test_multiple_args_results(self):
      x = np.array([1.0, 2.0, 3.0], dtype=np.float32)
      y = np.array([11.0, 12.0, 13.0, 14.0], dtype=np.float64)
  
      def f(x, y):
          # (sin(x), cos(y))
          module, version = serialize(
              """
  module @jit_f.0 {
    func.func public @main(%arg0: tensor<3xf32>, %arg1: tensor<4xf64>) -> (tensor<3xf32>, tensor<4xf64>) {
      %0 = stablehlo.sine %arg0 : tensor<3xf32>
      %1 = stablehlo.cosine %arg1 : tensor<4xf64>
      return %0, %1 : tensor<3xf32>, tensor<4xf64>
    }
  }
  """
          )
          return xla.call_module(
              [x, y],
              version=version,
              module=module,
              Tout=[x.dtype, y.dtype],
              Sout=[x.shape, y.shape],
              platforms=[self.testing_platform()],
          )
  
      self._assertOpOutputMatchesExpected(
          f, (x, y), (np.sin(x), np.cos(y))
      )
  
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 8 for calling the XlaCallModuleOpTest obj's underlying member method code with example usage: obj.test_multiple_args_results() and returns: xla