!8101 [MS][LITE][Develop] modify CI cppcheck warning

Merge pull request !8101 from pengyongrong/stack

mindspore/lite/src/runtime/kernel/opencl/cl/activation.cl

@@ -39,7 +39,7 @@ __kernel void Sigmoid(__read_only image2d_t input, __write_only image2d_t output
                       const int last_c4) {
   int X = get_global_id(0);
   int Y = get_global_id(1);
-  if (X >= img_shape.x || Y >= img_shape.y) return;
+  if (X >= img_shape.x || Y >= img_shape.y || c4 == 0) return;
   int C4 = X % c4;
   FLT4 in_c4 = READ_IMAGE(input, smp_zero, (int2)(X, Y));
   if (C4 < c4 - 1) {

mindspore/lite/src/runtime/kernel/opencl/cl/convolution.cl

@@ -30,9 +30,7 @@ __kernel void Convolution(__read_only image2d_t input, __write_only image2d_t ou
   const int strideW = kernel_stride.w;
 
   const int padTop = pad.x;
-  const int padBottom = pad.y;
   const int padLeft = pad.z;
-  const int padRight = pad.w;
 
   const int dilationH = dilation.x;
   const int dilationW = dilation.y;
@@ -74,7 +72,7 @@ __kernel void Convolution(__read_only image2d_t input, __write_only image2d_t ou
     }
   }
 
-  if (bias) {
+  if (bias != 0) {
     out_c4 = out_c4 + bias[co_slice];
   }
 
@@ -116,7 +114,7 @@ __kernel void Winograd4x4To36(__read_only image2d_t input, __write_only image2d_
     return;
   }
 
-  int IH = input_shape.y, IW = input_shape.z;
+  int IW = input_shape.z;
   int TILE_X = UP_DIV(IW, 4);
   int tile_x = tile_xy % TILE_X;
   int tile_y = tile_xy / TILE_X;
@@ -229,7 +227,6 @@ __kernel void Winograd36To4x4(__read_only image2d_t input, __write_only image2d_
 
   int TILE_XY = input_shape.z;
   int SLICES = input_shape.w;
-  int OH = output_shape.y;
   int OW = output_shape.z;
 
   if (tile_xy >= TILE_XY || row >= 4 || slice >= SLICES) {
@@ -257,7 +254,7 @@ __kernel void Winograd36To4x4(__read_only image2d_t input, __write_only image2d_
       acc += AtM_row[y] * At[idx];
     }
 
-    if (bias) {
+    if (bias != 0) {
       acc += bias[slice];
     }
 

mindspore/lite/src/runtime/kernel/opencl/cl/reshape.cl

@@ -51,13 +51,10 @@ __kernel void reshape_NC4HW4(__read_only image2d_t src_data, __write_only image2
                              int4 dst_size) {
   int X = get_global_id(0);
   int Y = get_global_id(1);
-  int CO4 = UP_DIV(dst_size.z, C4NUM);
-  int CO4_rem = dst_size.z % C4NUM;
   if (X >= dst_size.x || Y > dst_size.y) {
     return;
   }
   int CI4 = UP_DIV(src_size.x, C4NUM);
-  int CI4_rem = src_size.x % C4NUM;
   int in_img_x = CI4 * src_size.y;
   int gcnt = X + dst_size.x * Y;
   WRITE_IMAGE(dst_data, (int2)(X, Y), READ_IMAGE(src_data, smp_zero, (int2)(gcnt % in_img_x, gcnt / in_img_x)));

mindspore/lite/src/runtime/kernel/opencl/kernel/softmax.cc

@@ -43,8 +43,8 @@ std::vector<float> SoftmaxOpenCLKernel::GetMaskForLastChannel(int channels) {
 }
 
 int SoftmaxOpenCLKernel::InitGlobalSize() {
-  size_t global_x, global_y, global_z;
-  global_z = 1;
+  size_t global_x, global_y;
+  const size_t global_z = 1;
   if (axis_ == 1) {
     global_x = UP_DIV(nhwc_shape_[3], C4NUM);
     global_y = nhwc_shape_[2];

mindspore/lite/src/runtime/kernel/opencl/opencl_kernel.h

@@ -38,7 +38,7 @@ struct OpenCLToFormatParameter {
 
 struct Image2DInfo {
   explicit Image2DInfo(const lite::Tensor *tensor) {
-    if (tensor) {
+    if (tensor != nullptr) {
       auto shape = tensor->shape();
       if (shape.size() == 1) {
         N = shape[0];