!470 pynative support reducemean

Merge pull request !470 from JoyLvliang/pynative-support-reducemean

mindspore/ccsrc/pynative/base.h

@@ -21,6 +21,7 @@
 #include <utility>
 #include <string>
 #include <memory>
+#include <set>
 #include <unordered_map>
 #include <unordered_set>
 
@@ -59,7 +60,7 @@ struct OpExecInfo {
 using OpExecInfoPtr = std::shared_ptr<OpExecInfo>;
 OpExecInfoPtr GenerateOpExecInfo(const py::args& args);
 
-const std::unordered_set<std::string> ignore_infer_prim = {"partial"};
+const std::set<std::string> ignore_infer_prim = {"partial", "make_ref"};
 
 }  // namespace pynative
 }  // namespace mindspore

mindspore/ops/operations/math_ops.py

@@ -24,7 +24,7 @@ from ..._checkparam import Rel
 from ...common import dtype as mstype
 from ...common.tensor import Tensor
 from .._utils import _get_broadcast_shape
-from ..primitive import PrimitiveWithInfer, prim_attr_register
+from ..primitive import PrimitiveWithInfer, prim_attr_register, _run_op
 
 
 def _infer_shape_reduce(x, axis, keep_dims, prim_name):
@@ -225,6 +225,11 @@ class _Reduce(PrimitiveWithInfer):
         validator.check_value_type('keep_dims', keep_dims, [bool], self.name)
         self.init_prim_io_names(inputs=['input_x', 'axis'], outputs=['y'])
 
+    def __call__(self, x, axis=()):
+        args = [x, axis]
+        output = _run_op(self, self.name, args)
+        return output
+
     def do_infer(self, input_x, axis, valid_dtype=mstype.number_type):
         axis_v = axis['value']
         input_shp = input_x['shape']