diff --git a/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_depthwise_fp16.cc b/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_depthwise_fp16.cc
index 177708b18e..cb8273fa8b 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_depthwise_fp16.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_depthwise_fp16.cc
@@ -145,7 +145,8 @@ kernel::LiteKernel *CpuConvDwFp16KernelCreator(const std::vector<lite::Tensor *>
 
   auto *weight_tensor = inputs.at(kWeightIndex);
   auto *restore_data = weight_tensor->MutableData();
-  if (weight_tensor->data_type() == kNumberTypeInt8) {
+  auto dequant_flag = (weight_tensor->data_type() == kNumberTypeInt8) ? true : false;
+  if (dequant_flag) {
     auto *dequant_weight = kernel::LiteKernelUtil::DequantWeight(weight_tensor);
     if (dequant_weight == nullptr) {
       MS_LOG(ERROR) << "dequant data is nullptr.";
@@ -165,7 +166,7 @@ kernel::LiteKernel *CpuConvDwFp16KernelCreator(const std::vector<lite::Tensor *>
   }
   if (kernel == nullptr) {
     MS_LOG(ERROR) << "kernel is nullptr.";
-    if (weight_tensor->data_type() == kNumberTypeInt8) {
+    if (dequant_flag) {
       weight_tensor->FreeData();
       weight_tensor->set_data_type(kNumberTypeInt8);
       weight_tensor->SetData(restore_data);
@@ -177,14 +178,14 @@ kernel::LiteKernel *CpuConvDwFp16KernelCreator(const std::vector<lite::Tensor *>
     delete kernel;
     MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
                   << schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
-    if (weight_tensor->data_type() == kNumberTypeInt8) {
+    if (dequant_flag) {
       weight_tensor->FreeData();
       weight_tensor->set_data_type(kNumberTypeInt8);
       weight_tensor->SetData(restore_data);
     }
     return nullptr;
   }
-  if (weight_tensor->data_type() == kNumberTypeInt8) {
+  if (dequant_flag) {
     weight_tensor->FreeData();
     weight_tensor->set_data_type(kNumberTypeInt8);
     weight_tensor->SetData(restore_data);
diff --git a/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_fp16.cc b/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_fp16.cc
index 0b8a8e2ac1..43fd794501 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_fp16.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/fp16/convolution_fp16.cc
@@ -183,7 +183,8 @@ kernel::LiteKernel *CpuConvFp16KernelCreator(const std::vector<lite::Tensor *> &
 
   auto *weight_tensor = inputs.at(kWeightIndex);
   auto *restore_data = weight_tensor->MutableData();
-  if (weight_tensor->data_type() == kNumberTypeInt8) {
+  auto dequant_flag = (weight_tensor->data_type() == kNumberTypeInt8) ? true : false;
+  if (dequant_flag) {
     auto *dequant_weight = kernel::LiteKernelUtil::DequantWeight(weight_tensor);
     if (dequant_weight == nullptr) {
       MS_LOG(ERROR) << "dequant data is nullptr.";
@@ -218,7 +219,7 @@ kernel::LiteKernel *CpuConvFp16KernelCreator(const std::vector<lite::Tensor *> &
   }
   if (kernel == nullptr) {
     MS_LOG(DEBUG) << "Create conv fp16 kernel failed.";
-    if (weight_tensor->data_type() == kNumberTypeInt8) {
+    if (dequant_flag) {
       weight_tensor->FreeData();
       weight_tensor->set_data_type(kNumberTypeInt8);
       weight_tensor->SetData(restore_data);
@@ -230,14 +231,14 @@ kernel::LiteKernel *CpuConvFp16KernelCreator(const std::vector<lite::Tensor *> &
     delete kernel;
     MS_LOG(INFO) << "Init fp16 kernel failed, name: " << opParameter->name_
                  << ", type: " << schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
-    if (weight_tensor->data_type() == kNumberTypeInt8) {
+    if (dequant_flag) {
       weight_tensor->FreeData();
       weight_tensor->set_data_type(kNumberTypeInt8);
       weight_tensor->SetData(restore_data);
     }
     return nullptr;
   }
-  if (weight_tensor->data_type() == kNumberTypeInt8) {
+  if (dequant_flag) {
     weight_tensor->FreeData();
     weight_tensor->set_data_type(kNumberTypeInt8);
     weight_tensor->SetData(restore_data);
diff --git a/mindspore/lite/src/runtime/kernel/arm/fp16/deconvolution_depthwise_fp16.cc b/mindspore/lite/src/runtime/kernel/arm/fp16/deconvolution_depthwise_fp16.cc
index 9509d67fb2..734531ab71 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp16/deconvolution_depthwise_fp16.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/fp16/deconvolution_depthwise_fp16.cc
@@ -205,7 +205,8 @@ kernel::LiteKernel *CpuDeconvDwFp16KernelCreator(const std::vector<lite::Tensor
 
   auto *weight_tensor = inputs.at(kWeightIndex);
   auto *restore_data = weight_tensor->MutableData();
-  if (weight_tensor->data_type() == kNumberTypeInt8) {
+  auto dequant_flag = (weight_tensor->data_type() == kNumberTypeInt8) ? true : false;
+  if (dequant_flag) {
     auto *dequant_weight = kernel::LiteKernelUtil::DequantWeight(weight_tensor);
     if (dequant_weight == nullptr) {
       MS_LOG(ERROR) << "dequant data is nullptr.";
@@ -218,7 +219,7 @@ kernel::LiteKernel *CpuDeconvDwFp16KernelCreator(const std::vector<lite::Tensor
   auto kernel = new (std::nothrow) DeconvolutionDepthwiseFp16CPUKernel(opParameter, inputs, outputs, ctx, primitive);
   if (kernel == nullptr) {
     MS_LOG(ERROR) << "kernel is nullptr.";
-    if (weight_tensor->data_type() == kNumberTypeInt8) {
+    if (dequant_flag) {
       weight_tensor->FreeData();
       weight_tensor->set_data_type(kNumberTypeInt8);
       weight_tensor->SetData(restore_data);
@@ -230,14 +231,14 @@ kernel::LiteKernel *CpuDeconvDwFp16KernelCreator(const std::vector<lite::Tensor
     delete kernel;
     MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
                   << schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
-    if (weight_tensor->data_type() == kNumberTypeInt8) {
+    if (dequant_flag) {
       weight_tensor->FreeData();
       weight_tensor->set_data_type(kNumberTypeInt8);
       weight_tensor->SetData(restore_data);
     }
     return nullptr;
   }
-  if (weight_tensor->data_type() == kNumberTypeInt8) {
+  if (dequant_flag) {
     weight_tensor->FreeData();
     weight_tensor->set_data_type(kNumberTypeInt8);
     weight_tensor->SetData(restore_data);
diff --git a/mindspore/lite/src/runtime/kernel/arm/fp16/deconvolution_fp16.cc b/mindspore/lite/src/runtime/kernel/arm/fp16/deconvolution_fp16.cc
index 1ffc1648db..c721e13a1d 100644
--- a/mindspore/lite/src/runtime/kernel/arm/fp16/deconvolution_fp16.cc
+++ b/mindspore/lite/src/runtime/kernel/arm/fp16/deconvolution_fp16.cc
@@ -215,7 +215,8 @@ kernel::LiteKernel *CpuDeConvFp16KernelCreator(const std::vector<lite::Tensor *>
 
   auto *weight_tensor = inputs.at(kWeightIndex);
   auto *restore_data = weight_tensor->MutableData();
-  if (weight_tensor->data_type() == kNumberTypeInt8) {
+  auto dequant_flag = (weight_tensor->data_type() == kNumberTypeInt8) ? true : false;
+  if (dequant_flag) {
     auto *dequant_weight = kernel::LiteKernelUtil::DequantWeight(weight_tensor);
     if (dequant_weight == nullptr) {
       MS_LOG(ERROR) << "dequant data is nullptr.";
@@ -228,7 +229,7 @@ kernel::LiteKernel *CpuDeConvFp16KernelCreator(const std::vector<lite::Tensor *>
   auto kernel = new (std::nothrow) DeConvolutionFp16CPUKernel(opParameter, inputs, outputs, ctx, primitive);
   if (kernel == nullptr) {
     MS_LOG(ERROR) << "kernel is nullptr.";
-    if (weight_tensor->data_type() == kNumberTypeInt8) {
+    if (dequant_flag) {
       weight_tensor->FreeData();
       weight_tensor->set_data_type(kNumberTypeInt8);
       weight_tensor->SetData(restore_data);
@@ -240,14 +241,14 @@ kernel::LiteKernel *CpuDeConvFp16KernelCreator(const std::vector<lite::Tensor *>
     delete kernel;
     MS_LOG(ERROR) << "Init kernel failed, name: " << opParameter->name_ << ", type: "
                   << schema::EnumNamePrimitiveType(static_cast<schema::PrimitiveType>(opParameter->type_));
-    if (weight_tensor->data_type() == kNumberTypeInt8) {
+    if (dequant_flag) {
       weight_tensor->FreeData();
       weight_tensor->set_data_type(kNumberTypeInt8);
       weight_tensor->SetData(restore_data);
     }
     return nullptr;
   }
-  if (weight_tensor->data_type() == kNumberTypeInt8) {
+  if (dequant_flag) {
     weight_tensor->FreeData();
     weight_tensor->set_data_type(kNumberTypeInt8);
     weight_tensor->SetData(restore_data);