code: def export() -> None:
      node = onnx.helper.make_node("Relu", ["x"], ["y"], name="test")
      graph = onnx.helper.make_graph(
          nodes=[node],
          name="SingleRelu",
          inputs=[
              onnx.helper.make_tensor_value_info(
                  "x", onnx.TensorProto.FLOAT, [1, 2]
              )
          ],
          outputs=[
              onnx.helper.make_tensor_value_info(
                  "y", onnx.TensorProto.FLOAT, [1, 2]
              )
          ],
      )
      model = onnx.helper.make_model_gen_version(
          graph,
          producer_name="backend-test",
          opset_imports=[onnx.helper.make_opsetid("", 9)],
      )
  
      x = np.random.randn(1, 2).astype(np.float32)
      y = np.maximum(x, 0)
  
      expect(
          model, inputs=[x], outputs=[y], name="test_single_relu_model"
      )
  
imports: import numpy
  import onnx
  from onnx.backend.test.case.base import Base
  from onnx.backend.test.case.model import expect
label_desc: Use image node_id 1 for calling the SingleRelu obj's underlying member method code with example usage: obj.export() without return types