code: def _run(self, *args, axis=None, saturate=None):  # type: ignore
      # args: x, y_scale, zero_point
      return self.common_run(*args, axis=axis, saturate=saturate)
  
file_path: onnx/onnx/reference/ops/op_quantize_linear.py
imports: from __future__ import annotations
  from typing import ClassVar
  import numpy
  from onnx import TensorProto, subbyte
  from onnx.helper import float32_to_float8e4m3, float32_to_float8e5m2, np_dtype_to_tensor_dtype, tensor_dtype_to_np_dtype
  from onnx.reference.custom_element_types import float8e4m3fn, float8e4m3fnuz, float8e5m2, float8e5m2fnuz, int4, uint4
  from onnx.reference.op_run import OpRun
label_desc: Use image node_id 1 for calling the QuantizeLinear_19 obj's underlying member method code with example usage: obj._run() and returns: self