message: MultiProcessRunner: Add a convenient _is_enabled() function in multi_process_lib.
  This is to make other possible skipping easier.
diff: @@ -26,6 +26,10 @@ from absl import app
  from tensorflow.python.eager import test
  +def _is_enabled():
  + return sys.platform != 'win32'
  +
  +
  class _AbslProcess:
  """A process that runs using absl.app.run."""
  @@ -39,7 +43,7 @@ class _AbslProcess:
  app.run(lambda _: self._run_impl())
  -if sys.platform != 'win32':
  +if _is_enabled():
  class AbslForkServerProcess(_AbslProcess,
  multiprocessing.context.ForkServerProcess):
  @@ -142,7 +146,7 @@ def test_main():
  os.environ['TF_FORCE_GPU_ALLOW_GROWTH'] = 'true'
  - if sys.platform != 'win32':
  + if _is_enabled():
  _set_spawn_exe_path()
  _if_spawn_run_and_exit()
  