reuse AddN primitive in opt as AddN will replicated by program_specialize

mindspore/ccsrc/optimizer/irpass/merge_addn.h

@@ -35,9 +35,6 @@ namespace irpass {
 // {{PrimAddNClass}, {prim::kPrimMakeTuple, Ys, Xs}}
 class MergeAddN : public AnfVisitor {
  public:
-  MergeAddN() : PrimAddN_(prim::GetPythonOps("AddN", "mindspore.ops.operations")) {}
-  ~MergeAddN() override = default;
-
   AnfNodePtr operator()(const OptimizerPtr &optimizer, const AnfNodePtr &node) override {
     Reset();
     optimizer_ = optimizer;
@@ -47,15 +44,15 @@ class MergeAddN : public AnfVisitor {
       return nullptr;
     }
 
-    auto fg = node->func_graph();
-    // {PrimAddNClass}
-    auto addn_node = fg->NewCNode({NewValueNode(PrimAddN_)});
+    auto cnode = node->cast<CNodePtr>();
+    auto addn = NewValueNode(GetValueNode(cnode->input(0)));
 
     // {prim::kPrimMakeTuple, Xs, Ys}, {prim::kPrimMakeTuple, Ys, Xs}
     (void)args_.insert(args_.begin(), NewValueNode(prim::kPrimMakeTuple));
+    auto fg = node->func_graph();
     auto make_node = fg->NewCNode(args_);
 
-    return fg->NewCNode({addn_node, make_node});
+    return fg->NewCNode({addn, make_node});
   }
 
   void Visit(const CNodePtr &cnode) override {
@@ -127,7 +124,6 @@ class MergeAddN : public AnfVisitor {
   }
 
  private:
-  ValuePtr PrimAddN_;
   OptimizerPtr optimizer_{nullptr};
   std::vector<AnfNodePtr> Xs_{}, Ys_{}, args_{};
   bool is_inner_{false}, is_outer_{false}, is_match_{false};
@@ -136,9 +132,6 @@ class MergeAddN : public AnfVisitor {
 // {PrimAddN, {kPrimMakeTuple, Xs}}
 class AddNZeroFilter : public AnfVisitor {
  public:
-  AddNZeroFilter() : PrimAddN_(prim::GetPythonOps("AddN", "mindspore.ops.operations")) {}
-  ~AddNZeroFilter() override = default;
-
   AnfNodePtr operator()(const OptimizerPtr &, const AnfNodePtr &node) override {
     Reset();
     AnfVisitor::Match(prim::kPrimAddN, {IsCNode})(node);
@@ -161,8 +154,9 @@ class AddNZeroFilter : public AnfVisitor {
       return nullptr;
     }
 
+    auto cnode = node->cast<CNodePtr>();
+    auto addn = NewValueNode(GetValueNode(cnode->input(0)));
     auto fg = node->func_graph();
-    auto addn = fg->NewCNode({NewValueNode(PrimAddN_)});
     auto make_tuple = fg->NewCNode(filtered_Xs_);
     return fg->NewCNode({addn, make_tuple});
   }
@@ -193,7 +187,6 @@ class AddNZeroFilter : public AnfVisitor {
   }
 
  private:
-  ValuePtr PrimAddN_;
   std::vector<AnfNodePtr> filtered_Xs_{}, Xs_{};
   bool has_zero_like_{false};
 };

tests/ut/cpp/python_input/gtest_input/optimizer/opt_test.py

@@ -875,7 +875,6 @@ def test_merge_addn(tag):
     """ test_merge_addn """
     fns = FnDict()
     addn = P.AddN()
-    AddN = P.AddN
 
     @fns
     def before(x, y, z, a):
@@ -883,7 +882,7 @@ def test_merge_addn(tag):
 
     @fns
     def after(x, y, z, a):
-        return AddN()((a, x, y, z))
+        return addn((a, x, y, z))
 
     return fns[tag]
 
@@ -892,7 +891,6 @@ def test_addn_zero(tag):
     """ test_addn_zero """
     fns = FnDict()
     addn = P.AddN()
-    AddN = P.AddN
     zero_tensor = Primitive('ZerosLike')
 
     @fns
@@ -901,7 +899,7 @@ def test_addn_zero(tag):
 
     @fns
     def after(x, y, z, a):
-        return AddN()((a, z))
+        return addn((a, z))
 
     @fns
     def before_2(x, y, z, a):