[CodeStyle][CINN] fix cinn cpplint codestyle 50-55 (#55021)

paddle/cinn/common/axis.cc

@@ -23,7 +23,7 @@
 namespace cinn {
 namespace common {
 
-const static std::vector<std::string> kAxises({
+static const std::vector<std::string> kAxises({
     "i",  // level 0
     "j",  // level 1
     "k",  // level 2

paddle/cinn/hlir/op/elementwise.cc

@@ -476,7 +476,7 @@ std::shared_ptr<OpStrategy> StrategyForAssignValue(
         absl::get<std::vector<TYPE>>(value), out_type[0], tensor_name);       \
   }
 
-    if (false) {
+    if (false) {  // NOLINT
     }
     EXPAND_ATTR_TYPE(EXPAND_VALUE_TO_TENSOR)
     else {
@@ -517,7 +517,7 @@ std::vector<shape_t> InferShapeForAssignValue(
     shape.emplace_back(absl::get<std::vector<TYPE>>(value).size()); \
   }
 
-  if (false) {
+  if (false) {  // NOLINT
   }
   EXPAND_ATTR_TYPE(EXPAND_ATTR_TO_GET_SHAPE)
   else {
@@ -558,7 +558,7 @@ std::vector<Type> InferDtypeForAssignValue(
     out_type = common::type_of<TYPE>();               \
   }
 
-    if (false) {
+    if (false) {  // NOLINT
     }
     EXPAND_ATTR_TYPE(EXPAND_ATTR_TO_GET_DTYPE)
     else {

paddle/cinn/hlir/pass/check_fusion_accuracy_pass.cc

@@ -80,8 +80,8 @@ class AssertMsg {
 
 class CheckFusionAccuracyPass {
  public:
-  CheckFusionAccuracyPass(Graph* graph_)
-      : graph_(graph_),
+  CheckFusionAccuracyPass(Graph* graph)
+      : graph_(graph),
         shape_dict_(graph_->GetMutableAttrs<ShapeDict>("infershape")),
         dtype_dict_(graph_->GetMutableAttrs<DtypeDict>("inferdtype")) {}
 

paddle/cinn/pybind/frontend.cc

@@ -935,7 +935,6 @@ void BindFrontend(pybind11::module *m) {
                  << " in CINN! Please check.";
              return self.var_model_to_program_map().at(paddle_name);
            });
-
 }  // namespace frontend
 
 #undef EXPAND_CINN_SUPPORT_TYPE

paddle/cinn/pybind/runtime.cc

@@ -193,7 +193,7 @@ void BindCinnRuntime(py::module *m) {
       .def_readwrite("flag", &cinn_buffer_t::flag)
       .def_readwrite("type", &cinn_buffer_t::type)
       .def_readwrite("dimensions", &cinn_buffer_t::dimensions)
-      //.def_readwrite("dims", &cinn_buffer_t::dims)
+      // .def_readwrite("dims", &cinn_buffer_t::dims)
       .def_readwrite("lazy", &cinn_buffer_t::lazy)
       .def_readwrite("memory_size", &cinn_buffer_t::memory_size)
       .def_readwrite("align", &cinn_buffer_t::align)
@@ -228,7 +228,7 @@ void BindCinnRuntime(py::module *m) {
   m->def("cinn_x86_device_interface", &cinn_x86_device_interface)
       .def("cinn_buffer_load_float32", &cinn_buffer_load_float32)
       .def("cinn_buffer_load_float64", &cinn_buffer_load_float64);
-  //.def("cinn_buffer_slice", &cinn_buffer_slice,
+  // .def("cinn_buffer_slice", &cinn_buffer_slice,
   //     py::return_value_policy::reference);
 
   py::class_<cinn_value_t> cinn_value(*m, "cinn_value_t");

paddle/cinn/runtime/cuda/cuda_util.cc

@@ -101,7 +101,8 @@ void cinn_call_cuda_kernel(void *kernel_fn,
     cinn_pod_value_t *args = static_cast<cinn_pod_value_t *>(v_args);
     for (int idx = 0; idx < num_args; ++idx) {
       if (args[idx].type_code() == ::cinn_type_code<cinn_buffer_t *>()) {
-        kernel_args.emplace_back(&((cinn_buffer_t *)(args[idx]))->memory);
+        kernel_args.emplace_back(
+            &((cinn_buffer_t *)(args[idx]))->memory);  // NOLINT
       } else {
         kernel_args.emplace_back(args[idx].data_addr());
       }