diff --git a/mindspore/ccsrc/pre_activate/ascend/ascend_backend_optimization.cc b/mindspore/ccsrc/pre_activate/ascend/ascend_backend_optimization.cc
index effec812e4b268023d3a129c4a0f8069ac8d176f..9482af377c75495e869f8c26bdb846ffd06bc0fb 100644
--- a/mindspore/ccsrc/pre_activate/ascend/ascend_backend_optimization.cc
+++ b/mindspore/ccsrc/pre_activate/ascend/ascend_backend_optimization.cc
@@ -98,6 +98,9 @@ void AddAscendBackendOptionalIRFusion(PassManager *ir_fusion_pm) {
   ir_fusion_pm->AddPass(std::make_shared<LambUpdateWithLRRuleFusion>());
   ir_fusion_pm->AddPass(std::make_shared<ConfusionSoftmaxGradRule>());
   ir_fusion_pm->AddPass(std::make_shared<LambNextMVWithDecayRule>());
+  ir_fusion_pm->AddPass(std::make_shared<LambNextMVWithDecayRuleCond1>());
+  ir_fusion_pm->AddPass(std::make_shared<LambNextMVWithDecayRuleCond2>());
+  ir_fusion_pm->AddPass(std::make_shared<LambNextMVWithDecayRuleCond3>());
   ir_fusion_pm->AddPass(std::make_shared<LambNextMVRule>());
   ir_fusion_pm->AddPass(std::make_shared<LambNextRightRule>());
   ir_fusion_pm->AddPass(std::make_shared<LambUpdateWithLrV2>());
diff --git a/mindspore/ccsrc/pre_activate/ascend/ir_fusion/lamb_next_mv_with_decay_rule.cc b/mindspore/ccsrc/pre_activate/ascend/ir_fusion/lamb_next_mv_with_decay_rule.cc
index 21bbf1a5d78ac5b4bf231b0218a115b69251bb05..dc723f3052e4fe116c865715e640451ccb16d99e 100644
--- a/mindspore/ccsrc/pre_activate/ascend/ir_fusion/lamb_next_mv_with_decay_rule.cc
+++ b/mindspore/ccsrc/pre_activate/ascend/ir_fusion/lamb_next_mv_with_decay_rule.cc
@@ -163,5 +163,128 @@ const AnfNodePtr LambNextMVWithDecayRule::Process(const FuncGraphPtr &func_graph
   }
   return nullptr;
 }
+
+const BaseRef LambNextMVWithDecayRuleCond1::DefineAnotherPattern() const {
+  const auto prim_rsqrt = std::make_shared<Primitive>(kRsqrtOpName);
+  MS_EXCEPTION_IF_NULL(prim_rsqrt);
+  VarPtr Xs = std::make_shared<SeqVar>();
+  VarPtr Ys = std::make_shared<SeqVar>();
+  VarPtr Zs = std::make_shared<SeqVar>();
+  MS_EXCEPTION_IF_NULL(Xs);
+  MS_EXCEPTION_IF_NULL(Ys);
+  MS_EXCEPTION_IF_NULL(Zs);
+  VectorRef real_div0 = VectorRef({real_div0_var_, Xs});
+  VectorRef real_div1 = VectorRef({real_div1_var_, Ys});
+  VectorRef mul4 = VectorRef({mul4_var_, Zs});
+
+  VectorRef add2 = VectorRef({prim::kPrimTensorAdd, constant_add2_y_, real_div1});
+  VectorRef sqrt0 = VectorRef({prim_rsqrt, add2});
+  VectorRef real_div2 = VectorRef({prim::kPrimMul, sqrt0, real_div0});
+  VectorRef add3 = VectorRef({prim::kPrimTensorAdd, mul4, real_div2});
+  return add3;
+}
+
+const BaseRef LambNextMVWithDecayRuleCond1::DefinePattern() const {
+  const auto prim_sqrt = std::make_shared<Primitive>(kSqrtOpName);
+  MS_EXCEPTION_IF_NULL(prim_sqrt);
+  const auto prim_deal_div = std::make_shared<Primitive>(kRealDivOpName);
+  MS_EXCEPTION_IF_NULL(prim_deal_div);
+  VectorRef mul2 = VectorRef({prim::kPrimMul, input_vars_[1], constant_mul_input_vars_[2]});
+  VectorRef mul3 = VectorRef({prim::kPrimMul, input_vars_[0], constant_mul_input_vars_[3]});
+  VectorRef add1 = VectorRef({add1_var_, mul2, mul3});
+  VectorRef real_div1 = VectorRef({real_div1_var_, add1, input_vars_[2]});
+  VectorRef sqrt1 = VectorRef({prim_sqrt, real_div1});
+  VectorRef add4 = VectorRef({prim::kPrimTensorAdd, sqrt1, constant_add2_y_});
+  VectorRef mul0 = VectorRef({prim::kPrimMul, input_vars_[4], constant_mul_input_vars_[0]});
+  VectorRef mul1 = VectorRef({prim::kPrimMul, input_vars_[3], constant_mul_input_vars_[1]});
+  VectorRef add0 = VectorRef({add0_var_, mul0, mul1});
+  VectorRef real_div0 = VectorRef({real_div0_var_, add0, input_vars_[5]});
+  VectorRef real_div4 = VectorRef({prim_deal_div, real_div0, add4});
+  VectorRef mul4 = VectorRef({mul4_var_, constant_mul_input_vars_[4], input_vars_[6]});
+  VectorRef add5 = VectorRef({prim::kPrimTensorAdd, mul4, real_div4});
+  return add5;
+}
+
+const BaseRef LambNextMVWithDecayRuleCond2::DefineAnotherPattern() const {
+  const auto prim_rsqrt = std::make_shared<Primitive>(kRsqrtOpName);
+  MS_EXCEPTION_IF_NULL(prim_rsqrt);
+  VarPtr Xs = std::make_shared<SeqVar>();
+  VarPtr Ys = std::make_shared<SeqVar>();
+  VarPtr Zs = std::make_shared<SeqVar>();
+  MS_EXCEPTION_IF_NULL(Xs);
+  MS_EXCEPTION_IF_NULL(Ys);
+  MS_EXCEPTION_IF_NULL(Zs);
+  VectorRef real_div0 = VectorRef({real_div0_var_, Xs});
+  VectorRef real_div1 = VectorRef({real_div1_var_, Ys});
+  VectorRef mul4 = VectorRef({mul4_var_, Zs});
+
+  VectorRef add2 = VectorRef({prim::kPrimTensorAdd, constant_add2_y_, real_div1});
+  VectorRef sqrt0 = VectorRef({prim_rsqrt, add2});
+  VectorRef real_div2 = VectorRef({prim::kPrimMul, sqrt0, real_div0});
+  VectorRef add3 = VectorRef({prim::kPrimTensorAdd, mul4, real_div2});
+  return add3;
+}
+
+const BaseRef LambNextMVWithDecayRuleCond2::DefinePattern() const {
+  const auto prim_sqrt = std::make_shared<Primitive>(kSqrtOpName);
+  MS_EXCEPTION_IF_NULL(prim_sqrt);
+  const auto prim_deal_div = std::make_shared<Primitive>(kRealDivOpName);
+  MS_EXCEPTION_IF_NULL(prim_deal_div);
+  VectorRef mul2 = VectorRef({prim::kPrimMul, constant_mul_input_vars_[2], input_vars_[1]});
+  VectorRef mul3 = VectorRef({prim::kPrimMul, constant_mul_input_vars_[3], input_vars_[0]});
+  VectorRef add1 = VectorRef({add1_var_, mul2, mul3});
+  VectorRef real_div1 = VectorRef({real_div1_var_, add1, input_vars_[2]});
+  VectorRef sqrt1 = VectorRef({prim_sqrt, real_div1});
+  VectorRef add4 = VectorRef({prim::kPrimTensorAdd, constant_add2_y_, sqrt1});
+  VectorRef mul0 = VectorRef({prim::kPrimMul, constant_mul_input_vars_[0], input_vars_[4]});
+  VectorRef mul1 = VectorRef({prim::kPrimMul, constant_mul_input_vars_[1], input_vars_[3]});
+  VectorRef add0 = VectorRef({add0_var_, mul0, mul1});
+  VectorRef real_div0 = VectorRef({real_div0_var_, add0, input_vars_[5]});
+  VectorRef real_div4 = VectorRef({prim_deal_div, real_div0, add4});
+  VectorRef mul4 = VectorRef({mul4_var_, constant_mul_input_vars_[4], input_vars_[6]});
+  VectorRef add5 = VectorRef({prim::kPrimTensorAdd, mul4, real_div4});
+  return add5;
+}
+
+const BaseRef LambNextMVWithDecayRuleCond3::DefineAnotherPattern() const {
+  const auto prim_rsqrt = std::make_shared<Primitive>(kRsqrtOpName);
+  MS_EXCEPTION_IF_NULL(prim_rsqrt);
+  VarPtr Xs = std::make_shared<SeqVar>();
+  VarPtr Ys = std::make_shared<SeqVar>();
+  VarPtr Zs = std::make_shared<SeqVar>();
+  MS_EXCEPTION_IF_NULL(Xs);
+  MS_EXCEPTION_IF_NULL(Ys);
+  MS_EXCEPTION_IF_NULL(Zs);
+  VectorRef real_div0 = VectorRef({real_div0_var_, Xs});
+  VectorRef real_div1 = VectorRef({real_div1_var_, Ys});
+  VectorRef mul4 = VectorRef({mul4_var_, Zs});
+
+  VectorRef add2 = VectorRef({prim::kPrimTensorAdd, real_div1, constant_add2_y_});
+  VectorRef sqrt0 = VectorRef({prim_rsqrt, add2});
+  VectorRef real_div2 = VectorRef({prim::kPrimMul, sqrt0, real_div0});
+  VectorRef add3 = VectorRef({prim::kPrimTensorAdd, mul4, real_div2});
+  return add3;
+}
+
+const BaseRef LambNextMVWithDecayRuleCond3::DefinePattern() const {
+  const auto prim_sqrt = std::make_shared<Primitive>(kSqrtOpName);
+  MS_EXCEPTION_IF_NULL(prim_sqrt);
+  const auto prim_deal_div = std::make_shared<Primitive>(kRealDivOpName);
+  MS_EXCEPTION_IF_NULL(prim_deal_div);
+  VectorRef mul2 = VectorRef({prim::kPrimMul, input_vars_[1], constant_mul_input_vars_[2]});
+  VectorRef mul3 = VectorRef({prim::kPrimMul, constant_mul_input_vars_[3], input_vars_[0]});
+  VectorRef add1 = VectorRef({add1_var_, mul2, mul3});
+  VectorRef real_div1 = VectorRef({real_div1_var_, add1, input_vars_[2]});
+  VectorRef sqrt1 = VectorRef({prim_sqrt, real_div1});
+  VectorRef add4 = VectorRef({prim::kPrimTensorAdd, sqrt1, constant_add2_y_});
+  VectorRef mul0 = VectorRef({prim::kPrimMul, input_vars_[4], constant_mul_input_vars_[0]});
+  VectorRef mul1 = VectorRef({prim::kPrimMul, input_vars_[3], constant_mul_input_vars_[1]});
+  VectorRef add0 = VectorRef({add0_var_, mul0, mul1});
+  VectorRef real_div0 = VectorRef({real_div0_var_, add0, input_vars_[5]});
+  VectorRef real_div4 = VectorRef({prim_deal_div, real_div0, add4});
+  VectorRef mul4 = VectorRef({mul4_var_, input_vars_[6], constant_mul_input_vars_[4]});
+  VectorRef add5 = VectorRef({prim::kPrimTensorAdd, mul4, real_div4});
+  return add5;
+}
 }  // namespace opt
 }  // namespace mindspore
diff --git a/mindspore/ccsrc/pre_activate/ascend/ir_fusion/lamb_next_mv_with_decay_rule.h b/mindspore/ccsrc/pre_activate/ascend/ir_fusion/lamb_next_mv_with_decay_rule.h
index afc48bb8c643fb58a0c14580ff2f3a822974306b..4d52451a076d77a6cc3ef7e05644196dbfc3de21 100644
--- a/mindspore/ccsrc/pre_activate/ascend/ir_fusion/lamb_next_mv_with_decay_rule.h
+++ b/mindspore/ccsrc/pre_activate/ascend/ir_fusion/lamb_next_mv_with_decay_rule.h
@@ -74,6 +74,36 @@ class LambNextMVWithDecayRule : public PatternProcessPass {
   VarPtr add0_var_;
   VarPtr add1_var_;
 };
+
+class LambNextMVWithDecayRuleCond1 : public LambNextMVWithDecayRule {
+ public:
+  explicit LambNextMVWithDecayRuleCond1(bool multigraph = true)
+      : LambNextMVWithDecayRule("lamb_next_mv_with_decay_rule_cond1", multigraph) {}
+
+  ~LambNextMVWithDecayRuleCond1() override = default;
+  const BaseRef DefinePattern() const override;
+  const BaseRef DefineAnotherPattern() const override;
+};
+
+class LambNextMVWithDecayRuleCond2 : public LambNextMVWithDecayRule {
+ public:
+  explicit LambNextMVWithDecayRuleCond2(bool multigraph = true)
+      : LambNextMVWithDecayRule("lamb_next_mv_with_decay_rule_cond2", multigraph) {}
+
+  ~LambNextMVWithDecayRuleCond2() override = default;
+  const BaseRef DefinePattern() const override;
+  const BaseRef DefineAnotherPattern() const override;
+};
+
+class LambNextMVWithDecayRuleCond3 : public LambNextMVWithDecayRule {
+ public:
+  explicit LambNextMVWithDecayRuleCond3(bool multigraph = true)
+      : LambNextMVWithDecayRule("lamb_next_mv_with_decay_rule_cond3", multigraph) {}
+
+  ~LambNextMVWithDecayRuleCond3() override = default;
+  const BaseRef DefinePattern() const override;
+  const BaseRef DefineAnotherPattern() const override;
+};
 }  // namespace opt
 }  // namespace mindspore
 
diff --git a/mindspore/ccsrc/pre_activate/ascend/ir_fusion/mul_add_fusion.cc b/mindspore/ccsrc/pre_activate/ascend/ir_fusion/mul_add_fusion.cc
index f152f1873177795f89b9787372340b01c215768f..01f6effa4ff64c99ba2695d3fe746bc64834d859 100644
--- a/mindspore/ccsrc/pre_activate/ascend/ir_fusion/mul_add_fusion.cc
+++ b/mindspore/ccsrc/pre_activate/ascend/ir_fusion/mul_add_fusion.cc
@@ -24,6 +24,8 @@
 #include "pre_activate/common/helper.h"
 
 namespace mindspore {
+namespace opt {
+namespace {
 bool GetMul(const FuncGraphPtr &graph, const CNodePtr &add, CNodePtr *mul, size_t *mul_index) {
   MS_EXCEPTION_IF_NULL(graph);
   MS_EXCEPTION_IF_NULL(add);
@@ -36,6 +38,14 @@ bool GetMul(const FuncGraphPtr &graph, const CNodePtr &add, CNodePtr *mul, size_
       MS_EXCEPTION_IF_NULL(cnode);
       if (AnfAlgo::GetCNodeName(cnode) == prim::kPrimMul->name()) {
         if (!opt::IsUsedByOthers(graph, cnode)) {
+          auto full_name = cnode->fullname_with_scope();
+          // exclude lamb and adam, and only work in bert
+          if (std::string::npos != full_name.find("adam") || std::string::npos != full_name.find("lamb") ||
+              std::string::npos == full_name.find("bert")) {
+            MS_LOG(INFO) << "Mul is in adam or lamb or not a bert network, quit fusion";
+            return false;
+          }
+
           *mul = cnode;
           *mul_index = index;
           return true;
@@ -45,8 +55,7 @@ bool GetMul(const FuncGraphPtr &graph, const CNodePtr &add, CNodePtr *mul, size_
   }
   return false;
 }
-
-namespace opt {
+}  // namespace
 const BaseRef MulAddFusion::DefinePattern() const {
   VarPtr x = std::make_shared<Var>();
   VarPtr y = std::make_shared<Var>();
@@ -74,7 +83,12 @@ const AnfNodePtr MulAddFusion::Process(const FuncGraphPtr &graph, const AnfNodeP
   for (size_t index = 1; index < mul->size(); ++index) {
     inputs.push_back(mul->input(index));
   }
-  inputs.push_back(add->input(add->size() - mul_index));
+  auto another_input_node = add->input(add->size() - mul_index);
+  if (IsUsedByOthers(graph, another_input_node)) {
+    MS_LOG(INFO) << "Add's another input node is used by others, do not fuse";
+    return nullptr;
+  }
+  inputs.push_back(another_input_node);
   auto fusion_node = graph->NewCNode(inputs);
   fusion_node->set_scope(add->scope());
   fusion_node->set_abstract(add->abstract());
diff --git a/tests/ut/cpp/pre_activate/ascend/ir_fusion/lamb_next_mv_with_decay_rule_test.cc b/tests/ut/cpp/pre_activate/ascend/ir_fusion/lamb_next_mv_with_decay_rule_test.cc
index f114c772166e2e1d6acae88385e57280efc52218..53ebbd6f2f003c668f8faaf02363f7f711e2c577 100644
--- a/tests/ut/cpp/pre_activate/ascend/ir_fusion/lamb_next_mv_with_decay_rule_test.cc
+++ b/tests/ut/cpp/pre_activate/ascend/ir_fusion/lamb_next_mv_with_decay_rule_test.cc
@@ -253,5 +253,134 @@ TEST_F(TestHWLambNextMVWithDecayRule, test_lamb_next_mv_decay_rule_unmatched_rea
   FuncGraphPtr g_after = get_py_fun_.CallAndParseRet("test_lamb_next_mv_with_decay_rule", "after");
   EXPECT_FALSE(CheckEqualGraph(g_after, new_graph));
 }
+
+TEST_F(TestHWLambNextMVWithDecayRule, test_lamb_next_mv_with_decay_rule_cond1) {
+  FuncGraphPtr g = get_py_fun_.CallAndParseRet("test_lamb_next_mv_with_decay_rule_cond1", "before");
+  std::vector<int> shp{2, 32, 224, 224};
+  auto x_abstract = std::make_shared<abstract::AbstractTensor>(kFloat32, shp);
+  AbstractBasePtrList args_spec_list;
+  for (size_t i = 0; i < 13; ++i) {
+    args_spec_list.push_back(x_abstract);
+  }
+  auto fg = GetKernelGraph(g, args_spec_list);
+
+  auto optimizer = std::make_shared<opt::GraphOptimizer>();
+  auto pm = std::make_shared<opt::PassManager>();
+  pm->AddPass(std::make_shared<opt::LambNextMVWithDecayRuleCond1>());
+  optimizer->AddPassManager(pm);
+  FuncGraphPtr new_graph = optimizer->Optimize(fg);
+
+  FuncGraphPtr g_after = get_py_fun_.CallAndParseRet("test_lamb_next_mv_with_decay_rule_cond1", "after");
+  EXPECT_TRUE(CheckEqualGraph(g_after, new_graph));
+}
+
+TEST_F(TestHWLambNextMVWithDecayRule, test_lamb_next_mv_with_decay_rule_cond1_un_match) {
+  FuncGraphPtr g = get_py_fun_.CallAndParseRet("test_lamb_next_mv_with_decay_rule_cond1", "un_match");
+  std::vector<int> shp{2, 32, 224, 224};
+  auto x_abstract = std::make_shared<abstract::AbstractTensor>(kFloat32, shp);
+  AbstractBasePtrList args_spec_list;
+  for (size_t i = 0; i < 13; ++i) {
+    args_spec_list.push_back(x_abstract);
+  }
+  auto fg = GetKernelGraph(g, args_spec_list);
+  auto origin_graph = std::make_shared<session::KernelGraph>(*fg);
+
+  auto optimizer = std::make_shared<opt::GraphOptimizer>();
+  auto pm = std::make_shared<opt::PassManager>();
+  pm->AddPass(std::make_shared<opt::LambNextMVWithDecayRuleCond1>());
+  optimizer->AddPassManager(pm);
+  FuncGraphPtr new_graph = optimizer->Optimize(fg);
+  EXPECT_TRUE(CheckEqualGraph(origin_graph, new_graph));
+  FuncGraphPtr g_after = get_py_fun_.CallAndParseRet("test_lamb_next_mv_with_decay_rule_cond1", "un_match");
+  EXPECT_FALSE(CheckEqualGraph(g_after, new_graph));
+}
+
+TEST_F(TestHWLambNextMVWithDecayRule, test_lamb_next_mv_with_decay_rule_cond2) {
+  FuncGraphPtr g = get_py_fun_.CallAndParseRet("test_lamb_next_mv_with_decay_rule_cond2", "before");
+  std::vector<int> shp{2, 32, 224, 224};
+  auto x_abstract = std::make_shared<abstract::AbstractTensor>(kFloat32, shp);
+  AbstractBasePtrList args_spec_list;
+  for (size_t i = 0; i < 13; ++i) {
+    args_spec_list.push_back(x_abstract);
+  }
+  auto fg = GetKernelGraph(g, args_spec_list);
+  DumpIR("fg.ir", fg, true);
+
+  auto optimizer = std::make_shared<opt::GraphOptimizer>();
+  auto pm = std::make_shared<opt::PassManager>();
+  pm->AddPass(std::make_shared<opt::LambNextMVWithDecayRuleCond2>());
+  optimizer->AddPassManager(pm);
+  FuncGraphPtr new_graph = optimizer->Optimize(fg);
+
+  FuncGraphPtr g_after = get_py_fun_.CallAndParseRet("test_lamb_next_mv_with_decay_rule_cond2", "after");
+  DumpIR("g_after.ir", g_after, true);
+  DumpIR("new_graph.ir", new_graph, true);
+  EXPECT_TRUE(CheckEqualGraph(g_after, new_graph));
+}
+
+TEST_F(TestHWLambNextMVWithDecayRule, test_lamb_next_mv_with_decay_rule_cond2_un_match) {
+  FuncGraphPtr g = get_py_fun_.CallAndParseRet("test_lamb_next_mv_with_decay_rule_cond2", "un_match");
+  std::vector<int> shp{2, 32, 224, 224};
+  auto x_abstract = std::make_shared<abstract::AbstractTensor>(kFloat32, shp);
+  AbstractBasePtrList args_spec_list;
+  for (size_t i = 0; i < 13; ++i) {
+    args_spec_list.push_back(x_abstract);
+  }
+  auto fg = GetKernelGraph(g, args_spec_list);
+  auto origin_graph = std::make_shared<session::KernelGraph>(*fg);
+
+  auto optimizer = std::make_shared<opt::GraphOptimizer>();
+  auto pm = std::make_shared<opt::PassManager>();
+  pm->AddPass(std::make_shared<opt::LambNextMVWithDecayRuleCond2>());
+  optimizer->AddPassManager(pm);
+  FuncGraphPtr new_graph = optimizer->Optimize(fg);
+  EXPECT_TRUE(CheckEqualGraph(origin_graph, new_graph));
+  FuncGraphPtr g_after = get_py_fun_.CallAndParseRet("test_lamb_next_mv_with_decay_rule_cond2", "un_match");
+  EXPECT_FALSE(CheckEqualGraph(g_after, new_graph));
+}
+
+TEST_F(TestHWLambNextMVWithDecayRule, test_lamb_next_mv_with_decay_rule_cond3) {
+  FuncGraphPtr g = get_py_fun_.CallAndParseRet("test_lamb_next_mv_with_decay_rule_cond3", "before");
+  std::vector<int> shp{2, 32, 224, 224};
+  auto x_abstract = std::make_shared<abstract::AbstractTensor>(kFloat32, shp);
+  AbstractBasePtrList args_spec_list;
+  for (size_t i = 0; i < 13; ++i) {
+    args_spec_list.push_back(x_abstract);
+  }
+  auto fg = GetKernelGraph(g, args_spec_list);
+  DumpIR("fg.ir", fg, true);
+
+  auto optimizer = std::make_shared<opt::GraphOptimizer>();
+  auto pm = std::make_shared<opt::PassManager>();
+  pm->AddPass(std::make_shared<opt::LambNextMVWithDecayRuleCond3>());
+  optimizer->AddPassManager(pm);
+  FuncGraphPtr new_graph = optimizer->Optimize(fg);
+
+  FuncGraphPtr g_after = get_py_fun_.CallAndParseRet("test_lamb_next_mv_with_decay_rule_cond3", "after");
+  DumpIR("g_after.ir", g_after, true);
+  DumpIR("new_graph.ir", new_graph, true);
+  EXPECT_TRUE(CheckEqualGraph(g_after, new_graph));
+}
+
+TEST_F(TestHWLambNextMVWithDecayRule, test_lamb_next_mv_with_decay_rule_cond3_un_match) {
+  FuncGraphPtr g = get_py_fun_.CallAndParseRet("test_lamb_next_mv_with_decay_rule_cond3", "un_match");
+  std::vector<int> shp{2, 32, 224, 224};
+  auto x_abstract = std::make_shared<abstract::AbstractTensor>(kFloat32, shp);
+  AbstractBasePtrList args_spec_list;
+  for (size_t i = 0; i < 13; ++i) {
+    args_spec_list.push_back(x_abstract);
+  }
+  auto fg = GetKernelGraph(g, args_spec_list);
+  auto origin_graph = std::make_shared<session::KernelGraph>(*fg);
+
+  auto optimizer = std::make_shared<opt::GraphOptimizer>();
+  auto pm = std::make_shared<opt::PassManager>();
+  pm->AddPass(std::make_shared<opt::LambNextMVWithDecayRuleCond3>());
+  optimizer->AddPassManager(pm);
+  FuncGraphPtr new_graph = optimizer->Optimize(fg);
+  EXPECT_TRUE(CheckEqualGraph(origin_graph, new_graph));
+  FuncGraphPtr g_after = get_py_fun_.CallAndParseRet("test_lamb_next_mv_with_decay_rule_cond3", "un_match");
+  EXPECT_FALSE(CheckEqualGraph(g_after, new_graph));
+}
 }  // namespace opt
 }  // namespace mindspore
diff --git a/tests/ut/cpp/pre_activate/ascend/ir_fusion/mul_add_fusion_test.cc b/tests/ut/cpp/pre_activate/ascend/ir_fusion/mul_add_fusion_test.cc
index 50221fca19432307ef4f905241f67b0806454fbd..87bb21f89a614397f3b75132d34e6d2a4a8f8826 100644
--- a/tests/ut/cpp/pre_activate/ascend/ir_fusion/mul_add_fusion_test.cc
+++ b/tests/ut/cpp/pre_activate/ascend/ir_fusion/mul_add_fusion_test.cc
@@ -37,6 +37,10 @@ TEST_F(TestHWMulAddFusion, test_mul_add_fusion1) {
     args_spec_list.push_back(x_abstract);
   }
   auto fg = GetKernelGraph(g, args_spec_list);
+  auto scope = std::make_shared<Scope>("bert");
+  for (auto nd : fg->execution_order()) {
+    nd->set_scope(scope);
+  }
 
   auto optimizer = std::make_shared<opt::GraphOptimizer>();
   auto pm = std::make_shared<opt::PassManager>();
@@ -57,6 +61,10 @@ TEST_F(TestHWMulAddFusion, test_mul_add_fusion2) {
     args_spec_list.push_back(x_abstract);
   }
   auto fg = GetKernelGraph(g, args_spec_list);
+  auto scope = std::make_shared<Scope>("bert");
+  for (auto nd : fg->execution_order()) {
+    nd->set_scope(scope);
+  }
 
   auto optimizer = std::make_shared<opt::GraphOptimizer>();
   auto pm = std::make_shared<opt::PassManager>();
diff --git a/tests/ut/cpp/python_input/gtest_input/pre_activate/lamb_next_mv_with_decay_rule_test.py b/tests/ut/cpp/python_input/gtest_input/pre_activate/lamb_next_mv_with_decay_rule_test.py
index d9d1ab5c394fb50d276b81a9ce6875d9b35abb30..d2931cce36f9d1e775b7e4ac366a161df1f92117 100644
--- a/tests/ut/cpp/python_input/gtest_input/pre_activate/lamb_next_mv_with_decay_rule_test.py
+++ b/tests/ut/cpp/python_input/gtest_input/pre_activate/lamb_next_mv_with_decay_rule_test.py
@@ -174,3 +174,201 @@ def test_lamb_next_mv_with_decay_rule(tag):
         return output
 
     return fns[tag]
+
+def test_lamb_next_mv_with_decay_rule_cond1(tag):
+    fns = FnDict()
+
+    @fns
+    def before(input0, input1, input2, input3, input4, input5, input6, constant_mul0_x, constant_mul1_sub,
+               constant_mul2_x, constant_mul3_sub1, constant_mul4_x, constant_add2_y):
+        mul1 = Mul(input3, constant_mul1_sub)
+        mul0 = Mul(input4, constant_mul0_x)
+        add0 = Add(mul0, mul1)
+        mul2 = Mul(input1, constant_mul2_x)
+        mul3 = Mul(input0, constant_mul3_sub1)
+        add1 = Add(mul2, mul3)
+        real_div1 = RealDiv(add1, input2)
+        add2 = Add(constant_add2_y, real_div1)
+        sqrt1 = Sqrt(real_div1)
+        real_div0 = RealDiv(add0, input5)
+        add4 = Add(sqrt1, constant_add2_y)
+        sqrt0 = Rsqrt(add2)
+        mul4 = Mul(constant_mul4_x, input6)
+        real_div4 = RealDiv(real_div0, add4)
+        real_div2 = Mul(sqrt0, real_div0)
+        add5 = Add(mul4, real_div4)
+        add3 = Add(mul4, real_div2)
+        outputs = make_tuple(add3, add0, add1, add5)
+        output = tuple_getitem(outputs, 0)
+        return output
+
+    @fns
+    def after(input0, input1, input2, input3, input4, input5, input6, constant_mul0_x, constant_mul1_sub,
+              constant_mul2_x, constant_mul3_sub1, constant_mul4_x, constant_add2_y):
+        lamb_next_mv_with_decay = LambNextMVWithDecay(input0, input1, input2, input3, input4, input5, input6,
+                                                      constant_mul0_x, constant_mul1_sub,
+                                                      constant_mul2_x, constant_mul3_sub1, constant_mul4_x,
+                                                      constant_add2_y)
+        outputs = make_tuple(tuple_getitem(lamb_next_mv_with_decay, 0), tuple_getitem(lamb_next_mv_with_decay, 1),
+                             tuple_getitem(lamb_next_mv_with_decay, 2), tuple_getitem(lamb_next_mv_with_decay, 3))
+        output = tuple_getitem(outputs, 0)
+        return make_tuple(output)
+
+    @fns
+    def un_match(input0, input1, input2, input3, input4, input5, input6, constant_mul0_x, constant_mul1_sub,
+                 constant_mul2_x, constant_mul3_sub1, constant_mul4_x, constant_add2_y):
+        mul1 = Mul(input3, constant_mul1_sub)
+        mul0 = Mul(input4, constant_mul0_x)
+        add0 = Add(mul0, mul1)
+        mul2 = Mul(input1, constant_mul2_x)
+        mul3 = Mul(input0, constant_mul3_sub1)
+        add1 = Add(mul2, mul3)
+        real_div1 = RealDiv(add1, input2)
+        add2 = Add(constant_add2_y, real_div1)
+        sqrt1 = Sqrt(real_div1)
+        real_div0 = RealDiv(add0, input5)
+        add4 = Add(sqrt1, constant_add2_y)
+        sqrt0 = Rsqrt(add2)
+        mul4 = Mul(constant_mul4_x, input6)
+        real_div4 = RealDiv(real_div0, add4)
+        real_div2 = Mul(sqrt0, real_div0)
+        add5 = Add(mul4, real_div4)
+        # un match
+        add3 = Add(real_div2, mul4)
+        outputs = make_tuple(add3, add0, add1, add5)
+        output = tuple_getitem(outputs, 0)
+        return output
+
+    return fns[tag]
+
+def test_lamb_next_mv_with_decay_rule_cond2(tag):
+    fns = FnDict()
+
+    @fns
+    def before(input0, input1, input2, input3, input4, input5, input6, constant_mul0_x, constant_mul1_sub,
+               constant_mul2_x, constant_mul3_sub1, constant_mul4_x, constant_add2_y):
+        mul1 = Mul(constant_mul1_sub, input3)
+        mul0 = Mul(constant_mul0_x, input4)
+        add0 = Add(mul0, mul1)
+        mul2 = Mul(constant_mul2_x, input1)
+        mul3 = Mul(constant_mul3_sub1, input0)
+        add1 = Add(mul2, mul3)
+        real_div1 = RealDiv(add1, input2)
+        add2 = Add(constant_add2_y, real_div1)
+        sqrt1 = Sqrt(real_div1)
+        real_div0 = RealDiv(add0, input5)
+        add4 = Add(constant_add2_y, sqrt1)
+        sqrt0 = Rsqrt(add2)
+        mul4 = Mul(constant_mul4_x, input6)
+        real_div4 = RealDiv(real_div0, add4)
+        real_div2 = Mul(sqrt0, real_div0)
+        add5 = Add(mul4, real_div4)
+        add3 = Add(mul4, real_div2)
+        outputs = make_tuple(add3, add0, add1, add5)
+        output = tuple_getitem(outputs, 0)
+        return output
+
+    @fns
+    def after(input0, input1, input2, input3, input4, input5, input6, constant_mul0_x, constant_mul1_sub,
+              constant_mul2_x, constant_mul3_sub1, constant_mul4_x, constant_add2_y):
+        lamb_next_mv_with_decay = LambNextMVWithDecay(input0, input1, input2, input3, input4, input5, input6,
+                                                      constant_mul0_x, constant_mul1_sub,
+                                                      constant_mul2_x, constant_mul3_sub1, constant_mul4_x,
+                                                      constant_add2_y)
+        outputs = make_tuple(tuple_getitem(lamb_next_mv_with_decay, 0), tuple_getitem(lamb_next_mv_with_decay, 1),
+                             tuple_getitem(lamb_next_mv_with_decay, 2), tuple_getitem(lamb_next_mv_with_decay, 3))
+        output = tuple_getitem(outputs, 0)
+        return make_tuple(output)
+
+    @fns
+    def un_match(input0, input1, input2, input3, input4, input5, input6, constant_mul0_x, constant_mul1_sub,
+                 constant_mul2_x, constant_mul3_sub1, constant_mul4_x, constant_add2_y):
+        mul1 = Mul(constant_mul1_sub, input3)
+        mul0 = Mul(constant_mul0_x, input4)
+        add0 = Add(mul0, mul1)
+        mul2 = Mul(constant_mul2_x, input1)
+        mul3 = Mul(constant_mul3_sub1, input0)
+        add1 = Add(mul2, mul3)
+        real_div1 = RealDiv(add1, input2)
+        add2 = Add(constant_add2_y, real_div1)
+        sqrt1 = Sqrt(real_div1)
+        real_div0 = RealDiv(add0, input5)
+        add4 = Add(constant_add2_y, sqrt1)
+        sqrt0 = Rsqrt(add2)
+        mul4 = Mul(constant_mul4_x, input6)
+        real_div4 = RealDiv(real_div0, add4)
+        real_div2 = Mul(sqrt0, real_div0)
+        add5 = Add(mul4, real_div4)
+        # un_match
+        add3 = Add(real_div2, mul4)
+        outputs = make_tuple(add3, add0, add1, add5)
+        output = tuple_getitem(outputs, 0)
+        return output
+
+    return fns[tag]
+
+def test_lamb_next_mv_with_decay_rule_cond3(tag):
+    fns = FnDict()
+
+    @fns
+    def before(input0, input1, input2, input3, input4, input5, input6, constant_mul0_x, constant_mul1_sub,
+               constant_mul2_x, constant_mul3_sub1, constant_mul4_x, constant_add2_y):
+        mul1 = Mul(input3, constant_mul1_sub)
+        mul0 = Mul(input4, constant_mul0_x)
+        add0 = Add(mul0, mul1)
+        mul2 = Mul(input1, constant_mul2_x)
+        mul3 = Mul(constant_mul3_sub1, input0)
+        add1 = Add(mul2, mul3)
+        real_div1 = RealDiv(add1, input2)
+        add2 = Add(real_div1, constant_add2_y)
+        sqrt1 = Sqrt(real_div1)
+        real_div0 = RealDiv(add0, input5)
+        add4 = Add(sqrt1, constant_add2_y)
+        sqrt0 = Rsqrt(add2)
+        mul4 = Mul(input6, constant_mul4_x)
+        real_div4 = RealDiv(real_div0, add4)
+        real_div2 = Mul(sqrt0, real_div0)
+        add5 = Add(mul4, real_div4)
+        add3 = Add(mul4, real_div2)
+        outputs = make_tuple(add3, add0, add1, add5)
+        output = tuple_getitem(outputs, 0)
+        return output
+
+    @fns
+    def after(input0, input1, input2, input3, input4, input5, input6, constant_mul0_x, constant_mul1_sub,
+              constant_mul2_x, constant_mul3_sub1, constant_mul4_x, constant_add2_y):
+        lamb_next_mv_with_decay = LambNextMVWithDecay(input0, input1, input2, input3, input4, input5, input6,
+                                                      constant_mul0_x, constant_mul1_sub,
+                                                      constant_mul2_x, constant_mul3_sub1, constant_mul4_x,
+                                                      constant_add2_y)
+        outputs = make_tuple(tuple_getitem(lamb_next_mv_with_decay, 0), tuple_getitem(lamb_next_mv_with_decay, 1),
+                             tuple_getitem(lamb_next_mv_with_decay, 2), tuple_getitem(lamb_next_mv_with_decay, 3))
+        output = tuple_getitem(outputs, 0)
+        return make_tuple(output)
+
+    @fns
+    def un_match(input0, input1, input2, input3, input4, input5, input6, constant_mul0_x, constant_mul1_sub,
+                 constant_mul2_x, constant_mul3_sub1, constant_mul4_x, constant_add2_y):
+        mul1 = Mul(input3, constant_mul1_sub)
+        mul0 = Mul(input4, constant_mul0_x)
+        add0 = Add(mul0, mul1)
+        mul2 = Mul(input1, constant_mul2_x)
+        mul3 = Mul(constant_mul3_sub1, input0)
+        add1 = Add(mul2, mul3)
+        real_div1 = RealDiv(add1, input2)
+        add2 = Add(real_div1, constant_add2_y)
+        sqrt1 = Sqrt(real_div1)
+        real_div0 = RealDiv(add0, input5)
+        add4 = Add(sqrt1, constant_add2_y)
+        sqrt0 = Rsqrt(add2)
+        mul4 = Mul(input6, constant_mul4_x)
+        real_div4 = RealDiv(real_div0, add4)
+        real_div2 = Mul(sqrt0, real_div0)
+        add5 = Add(mul4, real_div4)
+        # un match
+        add3 = Add(real_div2, mul4)
+        outputs = make_tuple(add3, add0, add1, add5)
+        output = tuple_getitem(outputs, 0)
+        return output
+
+    return fns[tag]