code: def value_inference(self):
      tmp = self.get_operator()(self.x.val, axis=self.axis.val)
      reduced_shape = self._find_reduced_shape()
      if self.keep_dims.val:
          tmp = np.reshape(tmp, reduced_shape)
      return tmp
  
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 4 for calling the ReductionAxis obj's underlying member method code with example usage: obj.value_inference() and returns: tmp