diff --git a/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/extract_image_patches_gpu_kernel.h b/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/extract_image_patches_gpu_kernel.h
index 2c61ed73f91..0b0ae56f0dc 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/extract_image_patches_gpu_kernel.h
+++ b/mindspore/ccsrc/backend/kernel_compiler/gpu/arrays/extract_image_patches_gpu_kernel.h
@@ -49,7 +49,7 @@ class ExtractImagePatchesKernel : public GpuKernel {
     size_t *t_output_shape = GetDeviceAddress<size_t>(workspace, 4);
     size_t *t_output_to_nchw_axis = GetDeviceAddress<size_t>(workspace, 5);
 
-    size_t shape_size = 4 * sizeof(size_t);
+    const size_t shape_size = 4 * sizeof(size_t);
     std::vector<size_t> to_nhwc_axis = {0, 2, 3, 1};
     std::vector<size_t> to_nchw_axis = {0, 3, 1, 2};
 
diff --git a/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/local_response_norm_gpu_kernel.h b/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/local_response_norm_gpu_kernel.h
index 5b8200e5fb1..5f949be0775 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/local_response_norm_gpu_kernel.h
+++ b/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/local_response_norm_gpu_kernel.h
@@ -51,7 +51,7 @@ class LocalResponseNormGpuKernel : public GpuKernel {
     if (use_native_) {
       std::vector<size_t> to_nhwc_axis = {0, 2, 3, 1};
       std::vector<size_t> to_nchw_axis = {0, 3, 1, 2};
-      size_t shape_size = 4 * sizeof(size_t);
+      const size_t shape_size = 4 * sizeof(size_t);
       size_t *ws_input_shape = GetDeviceAddress<size_t>(workspace, 0);
       size_t *ws_transpose_shape = GetDeviceAddress<size_t>(workspace, 1);
       size_t *ws_to_nhwc_axis = GetDeviceAddress<size_t>(workspace, 2);
@@ -107,7 +107,7 @@ class LocalResponseNormGpuKernel : public GpuKernel {
     beta_ = GetAttr<float>(kernel_node, "beta");
 
     use_native_ = false;
-    unsigned int lrnN = 2 * depth_radius_ + 1;
+    const unsigned int lrnN = 2 * depth_radius_ + 1;
     double lrnAlpha = lrnN * alpha_;
     if (lrnN < CUDNN_LRN_MIN_N || lrnN > CUDNN_LRN_MAX_N || bias_ < CUDNN_LRN_MIN_K || beta_ < CUDNN_LRN_MIN_BETA) {
       use_native_ = true;
@@ -191,7 +191,7 @@ class LocalResponseNormGpuKernel : public GpuKernel {
       if (use_native_) {
         input_size_ = num_elements_ * sizeof(T);
         output_size_ = num_elements_ * sizeof(T);
-        size_t shape_size = 4 * sizeof(size_t);
+        const size_t shape_size = 4 * sizeof(size_t);
         workspace_size_list_.push_back(shape_size);
         workspace_size_list_.push_back(shape_size);
         workspace_size_list_.push_back(shape_size);
diff --git a/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/local_response_norm_grad_gpu_kernel.h b/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/local_response_norm_grad_gpu_kernel.h
index 86616624717..d91d2a0eacd 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/local_response_norm_grad_gpu_kernel.h
+++ b/mindspore/ccsrc/backend/kernel_compiler/gpu/nn/local_response_norm_grad_gpu_kernel.h
@@ -55,7 +55,7 @@ class LocalResponseNormGradGpuKernel : public GpuKernel {
       MS_LOG(WARNING) << "TOM: num_elements_ " << num_elements_;
       std::vector<size_t> to_nhwc_axis = {0, 2, 3, 1};
       std::vector<size_t> to_nchw_axis = {0, 3, 1, 2};
-      size_t shape_size = 4 * sizeof(size_t);
+      const size_t shape_size = 4 * sizeof(size_t);
       size_t *ws_input_shape = GetDeviceAddress<size_t>(workspace, 0);
       size_t *ws_transpose_shape = GetDeviceAddress<size_t>(workspace, 1);
       size_t *ws_to_nhwc_axis = GetDeviceAddress<size_t>(workspace, 2);
@@ -117,7 +117,7 @@ class LocalResponseNormGradGpuKernel : public GpuKernel {
     beta_ = GetAttr<float>(kernel_node, "beta");
 
     use_native_ = false;
-    unsigned int lrnN = 2 * depth_radius_ + 1;
+    const unsigned int lrnN = 2 * depth_radius_ + 1;
     double lrnAlpha = lrnN * alpha_;
     if (lrnN < CUDNN_LRN_MIN_N || lrnN > CUDNN_LRN_MAX_N || bias_ < CUDNN_LRN_MIN_K || beta_ < CUDNN_LRN_MIN_BETA) {
       use_native_ = true;
@@ -207,7 +207,7 @@ class LocalResponseNormGradGpuKernel : public GpuKernel {
       if (use_native_) {
         input_size_ = num_elements_ * sizeof(T);
         output_size_ = num_elements_ * sizeof(T);
-        size_t shape_size = 4 * sizeof(size_t);
+        const size_t shape_size = 4 * sizeof(size_t);
         workspace_size_list_.push_back(shape_size);
         workspace_size_list_.push_back(shape_size);
         workspace_size_list_.push_back(shape_size);