code: def test_map(self):
      from functorch.experimental import control_flow
  
      def f(x, y):
          return x + y
  
      def g(xs, y):
          return control_flow.map(f, xs, y)
  
      inputs = (torch.ones(3, 2, 2), torch.ones(2))
      self.check_graph(g, inputs, _check_meta=False)
  
imports: import io
  import pathlib
  import tempfile
  import unittest
  import zipfile
  import torch
  import torch._dynamo
  from torch.export import export, save, load, Dim
  from torch._export.db.case import ExportCase, normalize_inputs, SupportLevel
  from torch._export.db.examples import all_examples
  from torch._export.serde.serialize import ExportedProgramDeserializer, ExportedProgramSerializer, canonicalize, deserialize, serialize, SerializeError
  from torch._subclasses.fake_tensor import FakeTensor
  from torch.fx.experimental.symbolic_shapes import is_concrete_int
  import torch.utils._pytree
  from torch.testing._internal.common_utils import instantiate_parametrized_tests, parametrize, run_tests, TestCase, TemporaryFileName, IS_FBCODE, IS_MACOS, IS_SANDCASTLE, IS_WINDOWS, find_library_location
label_desc: Use image node_id 10 for calling the TestDeserialize obj's underlying member method code with example usage: obj.test_map() and returns: unknown, control_flow