code: def platforms_errors_helper(
      self,
      *,
      module_str: str,
      platforms: Sequence[str] = ("CPU", "CUDA", "ROCM", "TPU"),
      disabled_checks: Sequence[str] = (),
      expected_error: Optional[Exception] = None,
      expected_error_message: str = "",
  ):
      module, version = serialize(module_str)
      x = np.float32(0.0)
  
      def f(x):
          return xla.call_module(
              [x],
              version=version,
              module=module,
              Tout=[np.float32],
              Sout=[()],
              platforms=platforms,
              disabled_checks=disabled_checks,
          )
  
      if expected_error is None:
          self._assertOpOutputMatchesExpected(f, (x,), (x,))
      else:
          with self.assertRaisesRegex(
              expected_error, expected_error_message
          ):
              self._assertOpOutputMatchesExpected(f, (x,), (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 16 for calling the XlaCallModuleOpTest obj's underlying member method code with example usage: obj.platforms_errors_helper() and returns: xla