diff --git a/mindspore/ccsrc/backend/session/session_basic.cc b/mindspore/ccsrc/backend/session/session_basic.cc
index 490e4379c8..9ac46eaa82 100644
--- a/mindspore/ccsrc/backend/session/session_basic.cc
+++ b/mindspore/ccsrc/backend/session/session_basic.cc
@@ -51,26 +51,55 @@ static std::shared_ptr<std::map<ValuePtr, ParameterPtr>> python_paras;
 void ClearPythonParasMap() { python_paras = nullptr; }
 namespace {
 const int kSummaryGetItem = 2;
-bool IsUsedByRealKernel(const FuncGraphManagerPtr &manager, const AnfNodePtr &node) {
+const size_t max_depth = 128;
+bool RecursiveCheck(const FuncGraphManagerPtr &manager, const AnfNodePtr &node, size_t *idx, bool *check_dynamic) {
   MS_EXCEPTION_IF_NULL(manager);
   MS_EXCEPTION_IF_NULL(node);
-  auto node_users = manager->node_users()[node];
-  for (auto item : node_users) {
-    if (AnfAlgo::IsRealKernel(item.first)) {
+  if (*check_dynamic) {
+    if (node->isa<CNode>() && AnfAlgo::IsNodeDynamicShape(node->cast<CNodePtr>())) {
+      return true;
+    }
+  } else if (AnfAlgo::IsRealKernel(node)) {
+    return true;
+  }
+  (*idx) += 1;
+  // max recursion depth
+  if (*idx <= max_depth) {
+    auto users = manager->node_users()[node];
+    if (std::any_of(users.begin(), users.end(), [&](const std::pair<AnfNodePtr, int64_t> &kernel) {
+          return RecursiveCheck(manager, kernel.first, idx, check_dynamic);
+        })) {
       return true;
     }
   }
   return false;
 }
 
+bool IsUsedByRealKernel(const FuncGraphManagerPtr &manager, const AnfNodePtr &node) {
+  MS_EXCEPTION_IF_NULL(manager);
+  MS_EXCEPTION_IF_NULL(node);
+  auto node_users = manager->node_users()[node];
+  size_t idx = 0;
+  bool check_dynamic = false;
+  if (std::any_of(node_users.begin(), node_users.end(), [&](const std::pair<AnfNodePtr, int64_t> &kernel) {
+        return RecursiveCheck(manager, kernel.first, &idx, &check_dynamic);
+      })) {
+    return true;
+  }
+
+  return false;
+}
+
 bool IsUsedByDynamicKernel(const FuncGraphManagerPtr &manager, const AnfNodePtr &node) {
   MS_EXCEPTION_IF_NULL(manager);
   MS_EXCEPTION_IF_NULL(node);
   auto node_users = manager->node_users()[node];
-  for (auto item : node_users) {
-    if (item.first->isa<CNode>() && AnfAlgo::IsNodeDynamicShape(item.first->cast<CNodePtr>())) {
-      return true;
-    }
+  size_t idx = 0;
+  bool check_dynamic = true;
+  if (std::any_of(node_users.begin(), node_users.end(), [&](const std::pair<AnfNodePtr, int64_t> &kernel) {
+        return RecursiveCheck(manager, kernel.first, &idx, &check_dynamic);
+      })) {
+    return true;
   }
   return false;
 }
diff --git a/mindspore/ccsrc/runtime/device/ascend/executor/ai_cpu_dynamic_kernel.cc b/mindspore/ccsrc/runtime/device/ascend/executor/ai_cpu_dynamic_kernel.cc
index 59b82717c5..93d89dcc73 100644
--- a/mindspore/ccsrc/runtime/device/ascend/executor/ai_cpu_dynamic_kernel.cc
+++ b/mindspore/ccsrc/runtime/device/ascend/executor/ai_cpu_dynamic_kernel.cc
@@ -17,6 +17,7 @@
 #include "runtime/device/ascend/executor/ai_cpu_dynamic_kernel.h"
 #include <vector>
 #include <memory>
+#include <set>
 #include <algorithm>
 #include "runtime/mem.h"
 #include "runtime/kernel.h"
@@ -27,6 +28,7 @@
 namespace mindspore {
 namespace device {
 namespace ascend {
+std::set<std::string> kComputeDepend = {"Unique"};
 AiCpuDynamicKernel::~AiCpuDynamicKernel() {
   // free dev ptr
   if (ext_info_addr_dev_ == nullptr) {
@@ -67,9 +69,11 @@ void AiCpuDynamicKernel::Initialize() {
   output_num_ = AnfAlgo::GetOutputTensorNum(cnode_ptr_);
 
   UnknowShapeOpType shape_type = UnknowShapeOpType::DEPEND_IN_SHAPE;
-  if (AnfAlgo::GetCNodeName(cnode_ptr_) == "Unique") {
+  auto op_name = AnfAlgo::GetCNodeName(cnode_ptr_);
+  if (kComputeDepend.find(op_name) != kComputeDepend.end()) {
     shape_type = UnknowShapeOpType::DEPEND_COMPUTE;
   }
+  unknow_type_ = shape_type;
   // Parse aicpu ext info
   if (is_dynamic_shape_) {
     MS_EXCEPTION_IF_NULL(cnode_ptr_);
@@ -141,7 +145,7 @@ bool AiCpuDynamicKernel::UpdateExtInfo() {
     ext_info_handler_->UpdateInputShapeAndType(i, NOT_NULL(cnode_ptr_));
   }
 
-  if (unknow_type_ != DEPEND_COMPUTE) {
+  if (AnfAlgo::IsDynamicShape(cnode_ptr_) && unknow_type_ != DEPEND_COMPUTE) {
     for (size_t i = 0; i < output_num_; ++i) {
       ext_info_handler_->UpdateOutputShapeAndType(i, NOT_NULL(cnode_ptr_));
     }
@@ -198,6 +202,9 @@ bool AiCpuDynamicKernel::UpdateOutputShapeFromExtInfo() {
 
 void AiCpuDynamicKernel::PostExecute() {
   MS_LOG(INFO) << "Aicpu " << cnode_ptr_->fullname_with_scope() << " PostExecute";
+  if (unknow_type_ != DEPEND_COMPUTE) {
+    return;
+  }
   if (RT_ERROR_NONE != rtStreamSynchronize(stream_)) {
     MS_LOG(ERROR) << "Call runtime rtStreamSynchronize error.";
     return;
diff --git a/mindspore/ccsrc/runtime/device/ascend/executor/ai_cpu_dynamic_kernel.h b/mindspore/ccsrc/runtime/device/ascend/executor/ai_cpu_dynamic_kernel.h
index 5eedf097b8..58f1659c21 100644
--- a/mindspore/ccsrc/runtime/device/ascend/executor/ai_cpu_dynamic_kernel.h
+++ b/mindspore/ccsrc/runtime/device/ascend/executor/ai_cpu_dynamic_kernel.h
@@ -40,7 +40,7 @@ class AiCpuDynamicKernel : public DynamicKernel {
         ext_info_size_(0),
         input_num_(0),
         output_num_(0),
-        unknow_type_(DEPEND_COMPUTE) {}
+        unknow_type_(DEPEND_IN_SHAPE) {}
 
   ~AiCpuDynamicKernel() override;