code: def _run(self, data, axes=None, keepdims=True):  # type: ignore
      tax = tuple(axes) if axes is not None else None
      if data.size == 0:
          return self.reduce_constant(data, -np.inf, tax, keepdims)
      res = np.sum(data, axis=tax, keepdims=keepdims)  # type: ignore[arg-type]
      if len(res.shape) > 0:
          return (np.log(res, out=res),)
      return (np.log(res),)
  
file_path: onnx/onnx/reference/ops/op_reduce_log_sum.py
imports: import numpy
  from onnx.reference.ops._op import OpRunReduceNumpy
label_desc: Use image node_id 1 for calling the ReduceLogSum_1 obj's underlying member method code with example usage: obj._run(data, axes, keepdims) and returns: np, self, np