code: def export_to_onnx(self, model, input, input_names):
      traced = torch.jit.trace(model, input)
      buf = io.BytesIO()
      torch.jit.save(traced, buf)
      buf.seek(0)
  
      model = torch.jit.load(buf)
      f = io.BytesIO()
      torch.onnx.export(
          model,
          input,
          f,
          input_names=input_names,
          operator_export_type=torch.onnx.OperatorExportTypes.ONNX_ATEN_FALLBACK,
          # Caffe2 doesn't support newer opset versions
          opset_version=9,
      )
      f.seek(0)
  
      onnx_model = onnx.load(f)
      return onnx_model
  
imports: import io
  import caffe2.python.onnx.backend
  import numpy
  import onnx
  import pytorch_test_common
  import torch.ao.nn.quantized
  import torch.nn
  import torch.onnx
  from torch.testing._internal import common_utils
label_desc: Use image node_id 5 for calling the TestQuantizedOps obj's underlying member method code with example usage: obj.export_to_onnx(model, input, input_names) and returns: onnx_model