statistic fix

mindspore/lite/examples/runtime_gpu_extend/src/custom_add_kernel_gpu.cc

@@ -33,15 +33,15 @@
 namespace mindspore {
 namespace custom_gpu_demo {
 
-class CustomAddKernel : public kernel::Kernel {
+class CustomAddKernelGpu : public kernel::Kernel {
  public:
-  CustomAddKernel(const std::vector<MSTensor> &inputs, const std::vector<MSTensor> &outputs,
-                  const schema::Primitive *primitive, const mindspore::Context *ctx, const std::string &build_options,
-                  bool fp16_enable)
+  CustomAddKernelGpu(const std::vector<MSTensor> &inputs, const std::vector<MSTensor> &outputs,
+                     const schema::Primitive *primitive, const mindspore::Context *ctx,
+                     const std::string &build_options, bool fp16_enable)
       : Kernel(inputs, outputs, primitive, ctx), build_options_(build_options), fp16_enable_(fp16_enable) {
     opencl_runtime_ = new registry::opencl::OpenCLRuntimeWrapper();
   }
-  ~CustomAddKernel() override { FreeWeight(); }
+  ~CustomAddKernelGpu() override { FreeWeight(); }
   // Prepare will be called during graph compilation
   int Prepare() override {
     const std::string kernel_name_ = "ElementAdd";
@@ -195,7 +195,7 @@ class CustomAddKernel : public kernel::Kernel {
   registry::opencl::OpenCLRuntimeWrapper *opencl_runtime_;
 
   int PreProcess() {
-    int ret;
+    int ret = 0;
     ret = ReSize();
     if (ret != lite::RET_OK) {
       return ret;
@@ -240,7 +240,7 @@ std::shared_ptr<kernel::Kernel> CustomAddCreator(const std::vector<MSTensor> &in
   bool fp16_enable = false;
 
   std::cout << "using fp32 add.\n" << std::endl;
-  return std::make_shared<CustomAddKernel>(inputs, outputs, primitive, ctx, build_options, fp16_enable);
+  return std::make_shared<CustomAddKernelGpu>(inputs, outputs, primitive, ctx, build_options, fp16_enable);
 }
 
 std::shared_ptr<kernel::Kernel> CustomAddFP16Creator(const std::vector<MSTensor> &inputs,
@@ -251,7 +251,7 @@ std::shared_ptr<kernel::Kernel> CustomAddFP16Creator(const std::vector<MSTensor>
   bool fp16_enable = true;
 
   std::cout << "using fp16 add." << std::endl;
-  return std::make_shared<CustomAddKernel>(inputs, outputs, primitive, ctx, build_options, fp16_enable);
+  return std::make_shared<CustomAddKernelGpu>(inputs, outputs, primitive, ctx, build_options, fp16_enable);
 }
 
 }  // namespace custom_gpu_demo

mindspore/lite/examples/runtime_gpu_extend/src/custom_common.cc

@@ -71,6 +71,5 @@ void PackNHWCToNHWC4(void *src, void *dst, bool src_is_fp16, bool dst_is_fp16, c
     }
   }
 }
-
 }  // namespace custom_common
 }  // namespace mindspore

mindspore/lite/src/runtime/gpu/opencl/opencl_runtime_wrapper.cc

@@ -31,7 +31,6 @@
 using mindspore::kernel::CLErrorCode;
 
 namespace mindspore::registry::opencl {
-
 Status OpenCLRuntimeWrapper::LoadSource(const std::string &program_name, const std::string &source) {
   lite::opencl::OpenCLRuntimeInnerWrapper ocl_runtime_wrap;
   lite::opencl::OpenCLRuntime *ocl_runtime = ocl_runtime_wrap.GetInstance();