remove uselesee updatestate pattern and fix loss and J order

mindspore/ccsrc/frontend/optimizer/auto_monad_eliminate.cc

@@ -107,20 +107,6 @@ std::vector<std::vector<size_t>> SplitGroup(const std::vector<AnfNodePtr> &topos
 // a = Load(para1, u1)
 // ...
 // b = Load(para1, u2)
-// u3 = UpdateState(u2, b)
-//==>
-// delete the UpdateState
-void DeleteLoadUserUpdateState(const FuncGraphManagerPtr &manager, const AnfNodePtr &load_user,
-                               const AnfNodePtr &load) {
-  const auto &load_cnode = load->cast<CNodePtr>();
-  const auto &u = load_cnode->input(2);
-  manager->Replace(load_user, u);
-}
-
-// Pattern2======================================
-// a = Load(para1, u1)
-// ...
-// b = Load(para1, u2)
 // t = make_tuple(x, b)
 // u3 = UpdateState(u2, t)
 //==>
@@ -141,7 +127,7 @@ void DeleteLoadUserMakeTuple(const FuncGraphManagerPtr &manager, const CNodePtr
   manager->Replace(make_tuple, other_input);
 }
 
-// Pattern3======================================
+// Pattern2======================================
 // a = Load(para1, u1)
 // ...
 // b = Load(para1, u2)
@@ -167,11 +153,6 @@ void ReplaceLoadUserMakeTuple(const FuncGraphManagerPtr &manager, const FuncGrap
 void ReplaceLoadUser(const FuncGraphManagerPtr &manager, const FuncGraphPtr &fg, const AnfNodePtr &load) {
   auto load_users = manager->node_users()[load];
   for (const auto &load_user : load_users) {
-    // Pattern1
-    if (IsPrimitiveCNode(load_user.first, prim::kPrimUpdateState)) {
-      DeleteLoadUserUpdateState(manager, load_user.first, load);
-      continue;
-    }
     if (IsPrimitiveCNode(load_user.first, prim::kPrimMakeTuple)) {
       const auto &make_tuple = load_user.first->cast<CNodePtr>();
       auto &maketuple_users = manager->node_users()[make_tuple];
@@ -180,12 +161,12 @@ void ReplaceLoadUser(const FuncGraphManagerPtr &manager, const FuncGraphPtr &fg,
       if (!maketuple_as_input_of_update) {
         continue;
       }
-      // Pattern2
+      // Pattern1
       if (make_tuple->size() == 3) {
         DeleteLoadUserMakeTuple(manager, make_tuple, load);
         continue;
       }
-      // Pattern3
+      // Pattern2
       if (make_tuple->size() > 3) {
         ReplaceLoadUserMakeTuple(manager, fg, make_tuple, load);
       }

mindspore/nn/wrap/cell_wrapper.py

@@ -352,6 +352,7 @@ class TrainOneStepCell(Cell):
         weights = self.weights
         loss = self.network(*inputs)
         sens = P.Fill()(P.DType()(loss), P.Shape()(loss), self.sens)
+        sens = F.depend(sens, loss)
         grads = self.grad(self.network, weights)(*inputs, sens)
         grads = self.grad_reducer(grads)
         loss = F.depend(loss, self.optimizer(grads))