code: def export_axis() -> None:
      node = onnx.helper.make_node(
          "DequantizeLinear",
          inputs=["x", "x_scale", "x_zero_point"],
          outputs=["y"],
      )
  
      # 1-D tensor zero point and scale of size equal to axis 1 of the input tensor
      x = np.array(
          [
              [
                  [[3, 89], [34, 200], [74, 59]],
                  [[5, 24], [24, 87], [32, 13]],
                  [[245, 99], [4, 142], [121, 102]],
              ],
          ],
          dtype=np.uint8,
      )
      x_scale = np.array([2, 4, 5], dtype=np.float32)
      x_zero_point = np.array([84, 24, 196], dtype=np.uint8)
      y = (
          x.astype(np.float32)
          - x_zero_point.reshape(1, 3, 1, 1).astype(np.float32)
      ) * x_scale.reshape(1, 3, 1, 1)
  
      expect(
          node,
          inputs=[x, x_scale, x_zero_point],
          outputs=[y],
          name="test_dequantizelinear_axis",
      )
  
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 2 for calling the DequantizeLinear obj's underlying member method code with example usage: obj.export_axis() without return types