code: def test_export_to_onnx(self):
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs()
      model = FSMTModel(config).to(torch_device)
      with tempfile.TemporaryDirectory() as tmpdirname:
          torch.onnx.export(
              model,
              (inputs_dict["input_ids"], inputs_dict["attention_mask"]),
              f"{tmpdirname}/fsmt_test.onnx",
              export_params=True,
              opset_version=12,
              input_names=["input_ids", "attention_mask"],
          )
  
imports: import tempfile
  import unittest
  import timeout_decorator
  from parameterized import parameterized
  from transformers import FSMTConfig, is_torch_available
  from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, require_torch_fp16, slow, torch_device
  from transformers.utils import cached_property
  from ...generation.test_utils import GenerationTesterMixin
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, ids_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 7 for calling the FSMTModelTest obj's underlying member method code with example usage: obj.test_export_to_onnx() without return types