code: def export_int4() -> None:
      node = onnx.helper.make_node(
          "DequantizeLinear",
          inputs=["x", "x_scale", "x_zero_point"],
          outputs=["y"],
          axis=0,
      )
  
      # scalar zero point and scale
      x = make_tensor("x", TensorProto.INT4, [5], [0, 1, 7, -4, -8])
      x_scale = np.float32(2)
      x_zero_point = make_tensor(
          "zero_point", TensorProto.INT4, (1,), [1]
      )
      y = np.array([-2, 0, 12, -10, -18], dtype=np.float32)
  
      expect(
          node,
          inputs=[x, x_scale, x_zero_point],
          outputs=[y],
          name="test_dequantizelinear_int4",
      )
  
file_path: onnx/onnx/backend/test/case/node/dequantizelinear.py
imports: import numpy
  import onnx
  from onnx import TensorProto
  from onnx.backend.test.case.base import Base
  from onnx.backend.test.case.node import expect
  from onnx.helper import make_tensor
label_desc: Use image node_id 10 for calling the DequantizeLinear obj's underlying member method code with example usage: obj.export_int4() without return types