code: def export_e5m2() -> None:
      node = onnx.helper.make_node(
          "DequantizeLinear",
          inputs=["x", "x_scale"],
          outputs=["y"],
          axis=0,
      )
  
      # scalar zero point and scale
      x = make_tensor(
          "x", TensorProto.FLOAT8E5M2, [5], [0, 0.5, 1, 49152, -96]
      )
      x_scale = np.float32(2)
      y = np.array([0.0, 1.0, 2.0, 98304.0, -192.0], dtype=np.float32)
  
      expect(
          node,
          inputs=[x, x_scale],
          outputs=[y],
          name="test_dequantizelinear_e5m2",
      )
  
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 6 for calling the DequantizeLinear obj's underlying member method code with example usage: obj.export_e5m2() without return types