code: def export_e4m3fn_zero_point() -> None:
      node = onnx.helper.make_node(
          "DequantizeLinear",
          inputs=["x", "x_scale", "zero_point"],
          outputs=["y"],
          axis=0,
      )
  
      # scalar zero point and scale
      x = make_tensor(
          "x", TensorProto.FLOAT8E4M3FN, [5], [0, 0.5, 1, 448, -104]
      )
      zero_point = make_tensor(
          "zero_point", TensorProto.FLOAT8E4M3FN, [1], [0]
      )
      x_scale = np.float32(2)
      y = np.array([0.0, 1.0, 2.0, 896.0, -208.0], dtype=np.float32)
  
      expect(
          node,
          inputs=[x, x_scale, zero_point],
          outputs=[y],
          name="test_dequantizelinear_e4m3fn_zero_point",
      )
  
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 5 for calling the DequantizeLinear obj's underlying member method code with example usage: obj.export_e4m3fn_zero_point() without return types