code: def test_empty(self):
      # Since `torch.empty` returns tensor with uninitialized data, we cannot
      # test this under `test_fx_to_onnx_with_onnxruntime.py` with result comparison.
      def func(x):
          return torch.empty(x.size(), dtype=torch.int64)
  
      tensor_x = torch.randn(1, 1, 2)
      _ = dynamo_export(
          func, tensor_x, export_options=self.export_options
      )
  
imports: from __future__ import annotations
  import io
  import tempfile
  from typing import Mapping, Tuple
  import onnx
  import pytorch_test_common
  import torch
  import transformers
  from torch import nn
  from torch._subclasses import fake_tensor
  from torch.nn import functional
  from torch.onnx import dynamo_export, ExportOptions
  from torch.onnx._internal.diagnostics import infra
  from torch.onnx._internal.fx import diagnostics, registration
  from torch.testing._internal import common_utils
label_desc: Use image node_id 4 for calling the TestFxToOnnx obj's underlying member method code with example usage: obj.test_empty() and returns: torch