class_docstr: Reduction Op Superclasses
code: def value_inference(self):
      axes = tuple(self.axes.val) if self.axes is not None else None
      res = self.get_operator()(
          self.x.val, axis=axes, keepdims=self.keep_dims.val
      )
      return res.astype(nptype_from_builtin(self.x.dtype))
  
imports: import numpy
  from coremltools.converters.mil.mil import Operation, precondition, types
  from coremltools.converters.mil.mil.input_type import DefaultInputs, InputSpec, TensorInputType
  from coremltools.converters.mil.mil.operation import VALUE
  from coremltools.converters.mil.mil.ops.defs._op_reqs import register_op
  from coremltools.converters.mil.mil.types import nptype_from_builtin
label_desc: Use image node_id 3 for calling the ReductionAxes obj's underlying member method code with example usage: obj.value_inference() and returns: res