code: def export_int16() -> None:
      node = onnx.helper.make_node(
          "DequantizeLinear",
          inputs=["x", "x_scale", "x_zero_point"],
          outputs=["y"],
      )
  
      x = np.array([-300, -30, -1025, 1270]).astype(np.int16)
      x_scale = np.float32(2)
      x_zero_point = np.int16(-1024)
      y = np.array([1448.0, 1988.0, -2.0, 4588.0], dtype=np.float32)
  
      expect(
          node,
          inputs=[x, x_scale, x_zero_point],
          outputs=[y],
          name="test_dequantizelinear_int16",
      )
  
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 8 for calling the DequantizeLinear obj's underlying member method code with example usage: obj.export_int16() without return types