code: def export() -> None:
      node = onnx.helper.make_node(
          "Shrink",
          ["x"],
          ["y"],
          lambd=1.5,
          bias=1.5,
      )
      graph = onnx.helper.make_graph(
          nodes=[node],
          name="Shrink",
          inputs=[
              onnx.helper.make_tensor_value_info(
                  "x", onnx.TensorProto.FLOAT, [5]
              )
          ],
          outputs=[
              onnx.helper.make_tensor_value_info(
                  "y", onnx.TensorProto.FLOAT, [5]
              )
          ],
      )
      model = onnx.helper.make_model_gen_version(
          graph,
          producer_name="backend-test",
          opset_imports=[onnx.helper.make_opsetid("", 10)],
      )
  
      x = np.array([-2.0, -1.0, 0.0, 1.0, 2.0], dtype=np.float32)
      y = np.array([-0.5, 0.0, 0.0, 0.0, 0.5], dtype=np.float32)
  
      expect(model, inputs=[x], outputs=[y], name="test_shrink")
  
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 ShrinkTest obj's underlying member method code with example usage: obj.export() without return types