diff --git a/lite/operators/op_params.h b/lite/operators/op_params.h
index 8609f178886808f5dedf2de86e7cf7941c4a4c5d..32b80518e505c9dbc46d392308cf572a4e7f1278 100644
--- a/lite/operators/op_params.h
+++ b/lite/operators/op_params.h
@@ -856,7 +856,7 @@ struct UnsqueezeParam {
   lite::Tensor* XShape{};
   std::vector<int> axes{};
   const lite::Tensor* axes_tensor{};
-  std::vector<lite::Tensor>* axes_tensor_vct{};
+  std::vector<const lite::Tensor*> axes_tensor_vct{};
 };
 
 /// ----------------------- expand operators ----------------------
diff --git a/lite/operators/unsqueeze_op.cc b/lite/operators/unsqueeze_op.cc
index 8db14d0660a7b48b94406e35908f0636a53d57f6..39b275b7b55f79f2c8daf16ab0a6acd2e76e8b48 100644
--- a/lite/operators/unsqueeze_op.cc
+++ b/lite/operators/unsqueeze_op.cc
@@ -66,10 +66,7 @@ bool UnsqueezeOp::InferShape() const {
   std::vector<int> final_axes;
   auto axes = param_.axes;
   auto *axes_tensor = param_.axes_tensor;
-  std::vector<lite::Tensor> axes_tensor_vct;
-  if (param_.axes_tensor_vct) {
-    axes_tensor_vct = *(param_.axes_tensor_vct);
-  }
+  auto axes_tensor_vct = param_.axes_tensor_vct;
 
   if (!axes.empty()) {
     final_axes = axes;
@@ -79,7 +76,7 @@ bool UnsqueezeOp::InferShape() const {
                                   axes_tensor_data + axes_tensor->numel());
   } else if (!axes_tensor_vct.empty()) {
     for (int i = 0; i < axes_tensor_vct.size(); i++) {
-      final_axes.push_back(axes_tensor_vct[i].data<int>()[0]);
+      final_axes.push_back(axes_tensor_vct[i]->data<int>()[0]);
     }
   } else {
     LOG(FATAL) << "Input axis error";
@@ -114,16 +111,12 @@ bool UnsqueezeOp::AttachImpl(const cpp::OpDesc &opdesc, lite::Scope *scope) {
   if (opdesc.HasInput("AxesTensorList") &&
       opdesc.Input("AxesTensorList").size() > 0) {
     auto args = opdesc.Input("AxesTensorList");
-    /*
     for (auto arg : args) {
       auto *var = scope->FindVar(arg);
       if (var != nullptr) {
         param_.axes_tensor_vct.push_back(var->GetMutable<lite::Tensor>());
       }
     }
-    */
-    auto *var = scope->FindVar(args.front());
-    param_.axes_tensor_vct = var->GetMutable<std::vector<lite::Tensor>>();
   }
   CHECK(param_.X) << "Input(X) of UnsqueezeOp should not be null.";
   CHECK(param_.Out) << "Output(Out) of UnsqueezeOp should not be null.";
diff --git a/lite/tests/kernels/unsqueeze_compute_test.cc b/lite/tests/kernels/unsqueeze_compute_test.cc
index 9bbf39b70d5aab67454233efb909f932e0b5bec1..22e475672a87dafee29d68a3824e4f8ac0c15615 100644
--- a/lite/tests/kernels/unsqueeze_compute_test.cc
+++ b/lite/tests/kernels/unsqueeze_compute_test.cc
@@ -125,8 +125,7 @@ class UnsqueezeComputeTester : public arena::TestCase {
       for (size_t i = 0; i < axes_.size(); i++) {
         name = name + std::to_string(i);
         axes_tensor_list_.push_back(name);
-        std::vector<int> in_data = {axes_[i]};
-        SetCommonTensor(name, DDim({1}), in_data.data());
+        SetCommonTensor(name, DDim({1}), &axes_[i]);
       }
     }
   }
@@ -230,7 +229,7 @@ void test_unsqueeze(Place place) {
       for (int C : {3}) {
         for (int H : {1}) {
           for (int W : {5}) {
-            for (int input_axes_flag : {1, 2}) {
+            for (int input_axes_flag : {1, 2, 3}) {
               LOG(INFO) << N << " " << C << " " << H << " " << W << " "
                         << input_axes_flag;
               std::unique_ptr<arena::TestCase> tester(