feat(lite): add unit test for lar

GitOrigin-RevId: f3ba1e8a9a

lite/load_and_run/BUILD

@@ -1,6 +1,6 @@
 load("//brain/megbrain/lite:flags.bzl","pthread_select", "lite_opts")
 cc_library(
-    name = "mgblar",
+    name = "lar_object",
     srcs = glob(["src/**/*.cpp"], exclude = ["src/main.cpp"]),
     hdrs = glob(["src/**/*.h"]),
     includes = ["src"],
@@ -28,7 +28,8 @@ cc_megvii_binary(
         "no_exceptions",
         "no_rtti",
     ]),
-    internal_deps = [":mgblar"],
+    internal_deps = [":lar_object"],
     visibility = ["//visibility:public"],
 )
 
+

lite/load_and_run/CMakeLists.txt

@@ -1,23 +1,35 @@
 # BUILD the load and run for lite
 include_directories(PUBLIC
                     $<BUILD_INTERFACE:${PROJECT_SOURCE_DIR}/lite/load_and_run/src>)
-file(GLOB_RECURSE SOURCES ./*.cpp ${PROJECT_SOURCE_DIR}/lite/src/pack_model/*.cpp)
+file(GLOB_RECURSE SOURCES src/**/*.cpp ${PROJECT_SOURCE_DIR}/lite/src/pack_model/*.cpp)
 
-add_executable(load_and_run ${SOURCES})
-target_link_libraries(load_and_run lite_static)
-target_link_libraries(load_and_run megbrain)
+add_library(lar_object OBJECT ${SOURCES})
+
+target_link_libraries(lar_object lite_static)
+target_link_libraries(lar_object megbrain)
 if(APPLE)
-  target_link_libraries(load_and_run gflags)
+  target_link_libraries(lar_object gflags)
 else()
-  target_link_libraries(load_and_run gflags -Wl,--version-script=${MGE_VERSION_SCRIPT})
+  target_link_libraries(lar_object gflags -Wl,--version-script=${MGE_VERSION_SCRIPT})
+endif()
+
+if(LITE_BUILD_WITH_MGE
+   AND NOT WIN32
+   AND NOT APPLE)
+  # FXIME third_party cpp redis do not support build with clang-cl
+  target_include_directories(lar_object PRIVATE ${CPP_REDIS_INCLUDES})
 endif()
 
+add_executable(load_and_run src/main.cpp)
+target_link_libraries(load_and_run lar_object)
+
 if(LITE_BUILD_WITH_RKNPU)
   # rknn sdk1.0.0 depend on libc++_shared, use gold to remove NEEDED so symbol check
   target_link_options(load_and_run PRIVATE "-fuse-ld=gold")
 endif()
 
-if(MGE_WITH_ROCM)
+if(LITE_BUILD_WITH_MGE AND MGE_WITH_ROCM)
+  message(WARNING "MGE_WITH_ROCM is valid link to megdnn")
   # FIXME: hip obj can not find cpp obj only through lite_static
   target_link_libraries(load_and_run megdnn)
 endif()
@@ -30,17 +42,11 @@ if(UNIX)
   endif()
 endif()
 
-if(LITE_BUILD_WITH_MGE
-   AND NOT WIN32
-   AND NOT APPLE)
-  # FXIME third_party cpp redis do not support build with clang-cl
-  target_include_directories(load_and_run PRIVATE ${CPP_REDIS_INCLUDES})
-endif()
-
 install(
   TARGETS load_and_run
   EXPORT ${LITE_EXPORT_TARGETS}
   RUNTIME DESTINATION ${CMAKE_INSTALL_BINDIR})
+
 if(BUILD_SHARED_LIBS)
   if(LITE_BUILD_WITH_MGE
      AND NOT WIN32
@@ -48,7 +54,7 @@ if(BUILD_SHARED_LIBS)
     # FXIME third_party cpp redis do not support build with clang-cl
     list(APPEND SOURCES ${CPP_REDIS_SRCS})
   endif()
-  add_executable(load_and_run_depends_shared ${SOURCES})
+  add_executable(load_and_run_depends_shared ${SOURCES} src/main.cpp)
   target_link_libraries(load_and_run_depends_shared lite_shared)
   target_link_libraries(load_and_run_depends_shared gflags)
   target_link_libraries(load_and_run_depends_shared megengine)
@@ -58,7 +64,8 @@ if(BUILD_SHARED_LIBS)
     target_link_options(load_and_run_depends_shared PRIVATE "-fuse-ld=gold")
   endif()
 
-  if(MGE_WITH_ROCM)
+  if(LITE_BUILD_WITH_MGE AND MGE_WITH_ROCM)
+    message(WARNING "MGE_WITH_ROCM is valid link to megdnn")
     # FIXME: hip obj can not find cpp obj only through lite_static
     target_link_libraries(load_and_run_depends_shared megdnn)
   endif()

lite/load_and_run/src/helpers/common.h

@@ -30,6 +30,8 @@ enum class RunStage {
     AFTER_MODEL_RUNNING = 7,
 
     GLOBAL_OPTIMIZATION = 8,
+
+    UPDATE_IO = 9,
 };
 /*!
  * \brief: type of different model

lite/load_and_run/src/main.cpp

@@ -1,7 +1,7 @@
 #include <gflags/gflags.h>
 #include <string>
+#include "misc.h"
 #include "strategys/strategy.h"
-
 std::string simple_usage = R"(
 load_and_run: load_and_run <model_path> [options Flags...]
 
@@ -29,6 +29,8 @@ More details using "--help" to get!!
 )";
 
 int main(int argc, char** argv) {
+    mgb::set_log_level(mgb::LogLevel::INFO);
+    lite::set_log_level(LiteLogLevel::INFO);
     std::string usage = "load_and_run <model_path> [options Flags...]";
     if (argc < 2) {
         printf("usage: %s\n", simple_usage.c_str());

lite/load_and_run/src/models/model_lite.cpp

@@ -8,17 +8,17 @@ DECLARE_bool(share_param_mem);
 
 using namespace lar;
 ModelLite::ModelLite(const std::string& path) : model_path(path) {
-    LITE_WARN("creat lite model use CPU as default comp node");
+    LITE_LOG("creat lite model use CPU as default comp node");
 };
 void ModelLite::load_model() {
     m_network = std::make_shared<lite::Network>(config, IO);
     if (enable_layout_transform) {
-        LITE_WARN("enable layout transform while load model for lite");
+        LITE_LOG("enable layout transform while load model for lite");
         lite::Runtime::enable_global_layout_transform(m_network);
     }
     if (share_model_mem) {
         //! WARNNING:maybe not right to share param memmory for this
-        LITE_WARN("enable share model memory");
+        LITE_LOG("enable share model memory");
 
         FILE* fin = fopen(model_path.c_str(), "rb");
         LITE_ASSERT(fin, "failed to open %s: %s", model_path.c_str(), strerror(errno));

lite/load_and_run/src/options/device_options.cpp

@@ -19,27 +19,27 @@ void XPUDeviceOption::config_model_internel<ModelLite>(
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         if ((enable_cpu) || (enable_cpu_default) || (enable_multithread) ||
             (enable_multithread_default)) {
-            LITE_WARN("using cpu device\n");
+            LITE_LOG("using cpu device\n");
             model->get_config().device_type = LiteDeviceType::LITE_CPU;
         }
 #if LITE_WITH_CUDA
         if (enable_cuda) {
-            LITE_WARN("using cuda device\n");
+            LITE_LOG("using cuda device\n");
             model->get_config().device_type = LiteDeviceType::LITE_CUDA;
         }
 #endif
     } else if (runtime_param.stage == RunStage::AFTER_MODEL_LOAD) {
         auto&& network = model->get_lite_network();
         if (enable_cpu_default) {
-            LITE_WARN("using cpu default device\n");
+            LITE_LOG("using cpu default device\n");
             lite::Runtime::set_cpu_inplace_mode(network);
         }
         if (enable_multithread) {
-            LITE_WARN("using multithread device\n");
+            LITE_LOG("using multithread device\n");
             lite::Runtime::set_cpu_threads_number(network, thread_num);
         }
         if (enable_multithread_default) {
-            LITE_WARN("using multithread  default device\n");
+            LITE_LOG("using multithread  default device\n");
             lite::Runtime::set_cpu_inplace_mode(network);
             lite::Runtime::set_cpu_threads_number(network, thread_num);
         }
@@ -48,7 +48,7 @@ void XPUDeviceOption::config_model_internel<ModelLite>(
             for (auto id : core_ids) {
                 core_str += std::to_string(id) + ",";
             }
-            LITE_WARN("multi thread core ids: %s\n", core_str.c_str());
+            LITE_LOG("multi thread core ids: %s\n", core_str.c_str());
             lite::ThreadAffinityCallback affinity_callback = [&](size_t thread_id) {
                 mgb::sys::set_cpu_affinity({core_ids[thread_id]});
             };
@@ -62,14 +62,14 @@ void XPUDeviceOption::config_model_internel<ModelMdl>(
         RuntimeParam& runtime_param, std::shared_ptr<ModelMdl> model) {
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         if (enable_cpu) {
-            mgb_log_warn("using cpu device\n");
+            mgb_log("using cpu device\n");
             model->get_mdl_config().comp_node_mapper = [](mgb::CompNode::Locator& loc) {
                 loc.type = mgb::CompNode::DeviceType::CPU;
             };
         }
 #if LITE_WITH_CUDA
         if (enable_cuda) {
-            mgb_log_warn("using cuda device\n");
+            mgb_log("using cuda device\n");
             model->get_mdl_config().comp_node_mapper = [](mgb::CompNode::Locator& loc) {
                 if (loc.type == mgb::CompNode::DeviceType::UNSPEC) {
                     loc.type = mgb::CompNode::DeviceType::CUDA;
@@ -79,14 +79,14 @@ void XPUDeviceOption::config_model_internel<ModelMdl>(
         }
 #endif
         if (enable_cpu_default) {
-            mgb_log_warn("using cpu default device\n");
+            mgb_log("using cpu default device\n");
             model->get_mdl_config().comp_node_mapper = [](mgb::CompNode::Locator& loc) {
                 loc.type = mgb::CompNode::DeviceType::CPU;
                 loc.device = mgb::CompNode::Locator::DEVICE_CPU_DEFAULT;
             };
         }
         if (enable_multithread) {
-            mgb_log_warn("using multithread device\n");
+            mgb_log("using multithread device\n");
             model->get_mdl_config().comp_node_mapper =
                     [&](mgb::CompNode::Locator& loc) {
                         loc.type = mgb::CompNode::DeviceType::MULTITHREAD;
@@ -95,7 +95,7 @@ void XPUDeviceOption::config_model_internel<ModelMdl>(
                     };
         }
         if (enable_multithread_default) {
-            mgb_log_warn("using multithread default device\n");
+            mgb_log("using multithread default device\n");
             model->get_mdl_config().comp_node_mapper =
                     [&](mgb::CompNode::Locator& loc) {
                         loc.type = mgb::CompNode::DeviceType::MULTITHREAD;
@@ -108,7 +108,7 @@ void XPUDeviceOption::config_model_internel<ModelMdl>(
             for (auto id : core_ids) {
                 core_str += std::to_string(id) + ",";
             }
-            mgb_log_warn("set multi thread core ids:%s\n", core_str.c_str());
+            mgb_log("set multi thread core ids:%s\n", core_str.c_str());
             auto affinity_callback = [&](size_t thread_id) {
                 mgb::sys::set_cpu_affinity({core_ids[thread_id]});
             };
@@ -122,7 +122,7 @@ void XPUDeviceOption::config_model_internel<ModelMdl>(
 }
 }  // namespace lar
 
-XPUDeviceOption::XPUDeviceOption() {
+void XPUDeviceOption::update() {
     m_option_name = "xpu_device";
     enable_cpu = FLAGS_cpu;
 #if LITE_WITH_CUDA
@@ -198,6 +198,7 @@ bool XPUDeviceOption::is_valid() {
 std::shared_ptr<OptionBase> XPUDeviceOption::create_option() {
     static std::shared_ptr<lar::XPUDeviceOption> option(new XPUDeviceOption);
     if (XPUDeviceOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<lar::OptionBase>(option);
     } else {
         return nullptr;

lite/load_and_run/src/options/device_options.h

@@ -24,8 +24,10 @@ public:
 
     OptionValMap* get_option() override { return &m_option; }
 
+    void update() override;
+
 private:
-    XPUDeviceOption();
+    XPUDeviceOption() = default;
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>){};
     bool enable_cpu;

lite/load_and_run/src/options/extern_c_opr_options.cpp

@@ -25,6 +25,7 @@ void COprLibOption::config_model_internel(
         RuntimeParam& runtime_param, std::shared_ptr<ModelMdl> model) {
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         if (!lib_path.empty()) {
+            mgb_log("load external C opr lib from %s\n", lib_path.c_str());
             load_lib();
         }
         if (c_opr_args.is_run_c_opr_with_param) {
@@ -176,7 +177,7 @@ void COprLibOption::set_Copr_IO(std::shared_ptr<ModelBase> model_ptr) {
     config_extern_c_opr_dynamic_param(model->get_async_func(), c_opr_param);
 }
 
-COprLibOption::COprLibOption() {
+void COprLibOption::update() {
     m_option_name = "c_opr_lib";
     lib_path = FLAGS_c_opr_lib;
     c_opr_args.is_run_c_opr = !lib_path.empty();
@@ -191,6 +192,7 @@ bool COprLibOption::is_valid() {
 std::shared_ptr<OptionBase> COprLibOption::create_option() {
     static std::shared_ptr<COprLibOption> option(new COprLibOption);
     if (COprLibOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;

lite/load_and_run/src/options/extern_c_opr_options.h

@@ -32,8 +32,10 @@ public:
 
     std::string option_name() const override { return m_option_name; };
 
+    void update() override;
+
 private:
-    COprLibOption();
+    COprLibOption() = default;
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>){};
 

lite/load_and_run/src/options/fastrun_options.cpp

@@ -25,10 +25,10 @@ void FastRunOption::config_model_internel<ModelLite>(
         uint32_t strategy = 0;
 #if MGB_ENABLE_FASTRUN
         if (enable_full_run) {
-            LITE_WARN("enable full-run strategy for algo profile");
+            LITE_LOG("enable full-run strategy for algo profile");
             strategy = static_cast<uint32_t>(Strategy::LITE_ALGO_PROFILE) | strategy;
         } else if (enable_fast_run) {
-            LITE_WARN("enable fast-run strategy for algo profile");
+            LITE_LOG("enable fast-run strategy for algo profile");
             strategy = static_cast<uint32_t>(Strategy::LITE_ALGO_PROFILE) |
                        static_cast<uint32_t>(Strategy::LITE_ALGO_OPTIMIZED) | strategy;
         } else {
@@ -38,7 +38,7 @@ void FastRunOption::config_model_internel<ModelLite>(
         strategy = static_cast<uint32_t>(Strategy::LITE_ALGO_HEURISTIC) | strategy;
 #endif
         if (batch_binary_equal || enable_reproducible) {
-            LITE_WARN("enable reproducible strategy for algo profile");
+            LITE_LOG("enable reproducible strategy for algo profile");
             if (batch_binary_equal)
                 strategy = static_cast<uint32_t>(Strategy::LITE_ALGO_REPRODUCIBLE) |
                            strategy;
@@ -81,10 +81,10 @@ void FastRunOption::config_model_internel<ModelMdl>(
         auto strategy = static_cast<Strategy>(0);
 #if MGB_ENABLE_FASTRUN
         if (enable_full_run) {
-            mgb_log_warn("enable full-run strategy for algo profile");
+            mgb_log("enable full-run strategy for algo profile");
             strategy = Strategy::PROFILE | strategy;
         } else if (enable_fast_run) {
-            mgb_log_warn("enable fast-run strategy for algo profile");
+            mgb_log("enable fast-run strategy for algo profile");
             strategy = Strategy::PROFILE | Strategy::OPTIMIZED | strategy;
         } else {
             strategy = Strategy::HEURISTIC | strategy;
@@ -93,20 +93,20 @@ void FastRunOption::config_model_internel<ModelMdl>(
         strategy = Strategy::HEURISTIC | strategy;
 #endif
         if (batch_binary_equal || enable_reproducible) {
-            mgb_log_warn("enable reproducible strategy for algo profile");
+            mgb_log("enable reproducible strategy for algo profile");
             strategy = Strategy::REPRODUCIBLE | strategy;
         }
         model->set_mdl_strategy(strategy);
 
         //! set binary_equal_between_batch and shared_batch_size
         if (batch_binary_equal) {
-            mgb_log_warn("enable batch binary equal");
+            mgb_log("enable batch binary equal");
             model->get_mdl_config()
                     .comp_graph->options()
                     .fast_run_config.binary_equal_between_batch = true;
         }
         if (share_batch_size > 0) {
-            mgb_log_warn("set shared shared batch");
+            mgb_log("set shared shared batch");
             model->get_mdl_config()
                     .comp_graph->options()
                     .fast_run_config.shared_batch_size = share_batch_size;
@@ -145,7 +145,7 @@ void FastRunOption::config_model_internel<ModelMdl>(
 
 using namespace lar;
 bool FastRunOption::m_valid;
-FastRunOption::FastRunOption() {
+void FastRunOption::update() {
     m_option_name = "fastrun";
 #if MGB_ENABLE_FASTRUN
     enable_fast_run = FLAGS_fast_run;
@@ -207,6 +207,7 @@ bool FastRunOption::is_valid() {
 std::shared_ptr<OptionBase> FastRunOption::create_option() {
     static std::shared_ptr<FastRunOption> option(new FastRunOption);
     if (FastRunOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;
@@ -250,7 +251,7 @@ DEFINE_bool(
         "https://docs.nvidia.com/deeplearning/sdk/cudnn-developer-guide/"
         "index.html#reproducibility"
         "for more details.");
-DEFINE_uint32(fast_run_shared_batch_size, 0, "Set the batch size used during fastrun");
+DEFINE_int32(fast_run_shared_batch_size, 0, "Set the batch size used during fastrun");
 DEFINE_string(fast_run_algo_policy, "", "fast-run cache path.");
 
 REGIST_OPTION_CREATOR(fastrun, lar::FastRunOption::create_option);

lite/load_and_run/src/options/fastrun_options.h

@@ -10,7 +10,7 @@ DECLARE_bool(full_run);
 #endif
 DECLARE_bool(reproducible);
 DECLARE_bool(binary_equal_between_batch);
-DECLARE_uint32(fast_run_shared_batch_size);
+DECLARE_int32(fast_run_shared_batch_size);
 DECLARE_string(fast_run_algo_policy);
 
 namespace lar {
@@ -33,8 +33,10 @@ public:
 
     OptionValMap* get_option() override { return &m_option; }
 
+    void update() override;
+
 private:
-    FastRunOption();
+    FastRunOption() = default;
     //! config template for different model
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>) {}

lite/load_and_run/src/options/io_options.cpp

@@ -93,11 +93,11 @@ void IOdumpOption::config_model_internel<ModelLite>(
         RuntimeParam& runtime_param, std::shared_ptr<ModelLite> model) {
     if (runtime_param.stage == RunStage::AFTER_MODEL_LOAD) {
         if (enable_io_dump) {
-            LITE_WARN("enable text io dump");
+            LITE_LOG("enable text io dump");
             lite::Runtime::enable_io_txt_dump(model->get_lite_network(), dump_path);
         }
         if (enable_bin_io_dump) {
-            LITE_WARN("enable binary io dump");
+            LITE_LOG("enable binary io dump");
             lite::Runtime::enable_io_bin_dump(model->get_lite_network(), dump_path);
         }
         //! FIX:when add API in lite complate this
@@ -108,7 +108,7 @@ void IOdumpOption::config_model_internel<ModelLite>(
             LITE_THROW("lite model don't support the binary output dump");
         }
         if (enable_copy_to_host) {
-            LITE_WARN("lite model set copy to host defaultly");
+            LITE_LOG("lite model set copy to host defaultly");
         }
     }
 }
@@ -118,7 +118,7 @@ void IOdumpOption::config_model_internel<ModelMdl>(
         RuntimeParam& runtime_param, std::shared_ptr<ModelMdl> model) {
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         if (enable_io_dump) {
-            mgb_log_warn("enable text io dump");
+            mgb_log("enable text io dump");
             auto iodump = std::make_unique<mgb::TextOprIODump>(
                     model->get_mdl_config().comp_graph.get(), dump_path.c_str());
             iodump->print_addr(false);
@@ -126,7 +126,7 @@ void IOdumpOption::config_model_internel<ModelMdl>(
         }
 
         if (enable_io_dump_stdout) {
-            mgb_log_warn("enable text io dump to stdout");
+            mgb_log("enable text io dump to stdout");
             std::shared_ptr<FILE> std_out(stdout, [](FILE*) {});
             auto iodump = std::make_unique<mgb::TextOprIODump>(
                     model->get_mdl_config().comp_graph.get(), std_out);
@@ -135,7 +135,7 @@ void IOdumpOption::config_model_internel<ModelMdl>(
         }
 
         if (enable_io_dump_stderr) {
-            mgb_log_warn("enable text io dump to stderr");
+            mgb_log("enable text io dump to stderr");
             std::shared_ptr<FILE> std_err(stderr, [](FILE*) {});
             auto iodump = std::make_unique<mgb::TextOprIODump>(
                     model->get_mdl_config().comp_graph.get(), std_err);
@@ -144,14 +144,14 @@ void IOdumpOption::config_model_internel<ModelMdl>(
         }
 
         if (enable_bin_io_dump) {
-            mgb_log_warn("enable binary io dump");
+            mgb_log("enable binary io dump");
             auto iodump = std::make_unique<mgb::BinaryOprIODump>(
                     model->get_mdl_config().comp_graph.get(), dump_path);
             io_dumper = std::move(iodump);
         }
 
         if (enable_bin_out_dump) {
-            mgb_log_warn("enable binary output dump");
+            mgb_log("enable binary output dump");
             out_dumper = std::make_unique<OutputDumper>(dump_path.c_str());
         }
     } else if (runtime_param.stage == RunStage::AFTER_MODEL_LOAD) {
@@ -190,7 +190,7 @@ void IOdumpOption::config_model_internel<ModelMdl>(
 ////////////////////// Input options ////////////////////////
 using namespace lar;
 
-InputOption::InputOption() {
+void InputOption::update() {
     m_option_name = "input";
     size_t start = 0;
     auto end = FLAGS_input.find(";", start);
@@ -204,9 +204,10 @@ InputOption::InputOption() {
 }
 
 std::shared_ptr<lar::OptionBase> lar::InputOption::create_option() {
-    static std::shared_ptr<InputOption> m_option(new InputOption);
+    static std::shared_ptr<InputOption> option(new InputOption);
     if (InputOption::is_valid()) {
-        return std::static_pointer_cast<OptionBase>(m_option);
+        option->update();
+        return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;
     }
@@ -219,7 +220,7 @@ void InputOption::config_model(
 
 ////////////////////// OprIOdump options ////////////////////////
 
-IOdumpOption::IOdumpOption() {
+void IOdumpOption::update() {
     m_option_name = "iodump";
     size_t valid_flag = 0;
     if (!FLAGS_io_dump.empty()) {
@@ -268,6 +269,7 @@ bool IOdumpOption::is_valid() {
 std::shared_ptr<OptionBase> IOdumpOption::create_option() {
     static std::shared_ptr<IOdumpOption> option(new IOdumpOption);
     if (IOdumpOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;

lite/load_and_run/src/options/io_options.h

@@ -30,8 +30,10 @@ public:
     //! interface implement from OptionBase
     std::string option_name() const override { return m_option_name; };
 
+    void update() override;
+
 private:
-    InputOption();
+    InputOption() = default;
 
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>){};
@@ -50,8 +52,10 @@ public:
             RuntimeParam& runtime_param, std::shared_ptr<ModelBase> model) override;
     std::string option_name() const override { return m_option_name; };
 
+    void update() override;
+
 private:
-    IOdumpOption();
+    IOdumpOption() = default;
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>){};
 

lite/load_and_run/src/options/layout_options.cpp

@@ -11,7 +11,7 @@ void LayoutOption::config_model_internel<ModelLite>(
         RuntimeParam& runtime_param, std::shared_ptr<ModelLite> model) {
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
 #define ENABLE_LAYOUT(layout)                           \
-    LITE_WARN("enable " #layout " optimization");       \
+    LITE_LOG("enable " #layout " optimization");        \
     model->get_config().options.enable_##layout = true; \
     break;
 
@@ -51,7 +51,7 @@ void lar::LayoutOption::config_model_internel<ModelMdl>(
         RuntimeParam& runtime_param, std::shared_ptr<ModelMdl> model) {
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
 #define ENABLE_LAYOUT(layout)                                                  \
-    mgb_log_warn("enable " #layout " optimization");                           \
+    mgb_log("enable " #layout " optimization");                                \
     model->get_mdl_config().comp_graph->options().graph_opt.enable_##layout(); \
     break;
 
@@ -91,7 +91,7 @@ void lar::LayoutOption::config_model_internel<ModelMdl>(
 
 using namespace lar;
 bool LayoutOption::m_valid;
-LayoutOption::LayoutOption() {
+void LayoutOption::update() {
     m_option_name = "layout";
     m_option_flag = static_cast<OptLayoutType>(0);
     m_option = {
@@ -157,6 +157,7 @@ bool LayoutOption::is_valid() {
 std::shared_ptr<OptionBase> LayoutOption::create_option() {
     static std::shared_ptr<LayoutOption> option(new LayoutOption);
     if (LayoutOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;
@@ -166,16 +167,20 @@ std::shared_ptr<OptionBase> LayoutOption::create_option() {
 void LayoutOption::config_model(
         RuntimeParam& runtime_param, std::shared_ptr<ModelBase> model) {
     size_t valid_flag = 0;
-    if (std::static_pointer_cast<lar::Bool>(m_option["enable_nchw4"])->get_value()) {
+    if (FLAGS_enable_nchw4 ||
+        std::static_pointer_cast<lar::Bool>(m_option["enable_nchw4"])->get_value()) {
         valid_flag |= static_cast<size_t>(OptLayoutType::NCHW4);
     }
-    if (std::static_pointer_cast<lar::Bool>(m_option["enable_chwn4"])->get_value()) {
+    if (FLAGS_enable_chwn4 ||
+        std::static_pointer_cast<lar::Bool>(m_option["enable_chwn4"])->get_value()) {
         valid_flag |= static_cast<size_t>(OptLayoutType::CHWN4);
     }
-    if (std::static_pointer_cast<lar::Bool>(m_option["enable_nchw44"])->get_value()) {
+    if (FLAGS_enable_nchw44 ||
+        std::static_pointer_cast<lar::Bool>(m_option["enable_nchw44"])->get_value()) {
         valid_flag |= static_cast<size_t>(OptLayoutType::NCHW44);
     }
-    if (std::static_pointer_cast<lar::Bool>(m_option["enable_nchw88"])->get_value()) {
+    if (FLAGS_enable_nchw88 ||
+        std::static_pointer_cast<lar::Bool>(m_option["enable_nchw88"])->get_value()) {
         valid_flag |= static_cast<size_t>(OptLayoutType::NCHW88);
     }
     if (std::static_pointer_cast<lar::Bool>(m_option["enable_nchw32"])->get_value()) {

lite/load_and_run/src/options/layout_options.h

@@ -37,9 +37,11 @@ public:
 
     OptionValMap* get_option() override { return &m_option; }
 
+    void update() override;
+
 private:
     //! Constructor
-    LayoutOption();
+    LayoutOption() = default;
 
     //! configuration for different model implement
     template <typename ModelImpl>

lite/load_and_run/src/options/layout_trans_options.cpp

@@ -11,7 +11,7 @@ void GoptLayoutOption::config_model_internel<ModelLite>(
         RuntimeParam& runtime_param, std::shared_ptr<ModelLite> model) {
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         if (m_layout_transform) {
-            LITE_WARN("using global layout transform optimization\n");
+            LITE_LOG("using global layout transform optimization\n");
             if (m_layout_transform_target ==
                 mgb::gopt::GraphTuningOptions::Target::CPU) {
                 model->get_config().device_type = LiteDeviceType::LITE_CPU;
@@ -98,7 +98,7 @@ void GoptLayoutOption::config_model_internel<ModelMdl>(
         }
     } else if (runtime_param.stage == RunStage::GLOBAL_OPTIMIZATION) {
         if (m_layout_transform) {
-            mgb_log_warn("using global layout transform optimization\n");
+            mgb_log("using global layout transform optimization\n");
             auto&& load_result = model->get_mdl_load_result();
             load_result.output_var_list = mgb::gopt::layout_transform(
                     load_result.output_var_list, m_layout_transform_target);
@@ -150,7 +150,7 @@ void GoptLayoutOption::config_model_internel<ModelMdl>(
 
 using namespace lar;
 bool GoptLayoutOption::m_valid;
-GoptLayoutOption::GoptLayoutOption() {
+void GoptLayoutOption::update() {
     m_option_name = "gopt_layout";
     if (FLAGS_layout_transform != "cpu"
 #if LITE_WITH_CUDA
@@ -216,6 +216,7 @@ bool GoptLayoutOption::is_valid() {
 std::shared_ptr<OptionBase> GoptLayoutOption::create_option() {
     static std::shared_ptr<GoptLayoutOption> option(new GoptLayoutOption);
     if (GoptLayoutOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;

lite/load_and_run/src/options/layout_trans_options.h

@@ -28,8 +28,10 @@ public:
 
     OptionValMap* get_option() override { return &m_option; }
 
+    void update() override;
+
 private:
-    GoptLayoutOption();
+    GoptLayoutOption() = default;
     //! config template for different model
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>) {}

lite/load_and_run/src/options/model_options.cpp

@@ -24,7 +24,7 @@ void PackModelOption::config_model_internel(
 using namespace lar;
 ////////////////////// PackModel options ////////////////////////
 
-PackModelOption::PackModelOption() {
+void PackModelOption::update() {
     m_option_name = "pack_model";
     if (!FLAGS_packed_model_dump.empty())
         packed_model_dump = FLAGS_packed_model_dump;
@@ -45,6 +45,7 @@ bool PackModelOption::is_valid() {
 std::shared_ptr<OptionBase> PackModelOption::create_option() {
     static std::shared_ptr<PackModelOption> option(new PackModelOption);
     if (PackModelOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;

lite/load_and_run/src/options/model_options.h

@@ -19,8 +19,10 @@ public:
             RuntimeParam& runtime_param, std::shared_ptr<ModelBase> model) override;
     std::string option_name() const override { return m_option_name; }
 
+    void update() override;
+
 private:
-    PackModelOption();
+    PackModelOption() = default;
 
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>);

lite/load_and_run/src/options/optimize_options.cpp

@@ -15,7 +15,7 @@ void FusePreprocessOption::config_model_internel<ModelLite>(
         RuntimeParam& runtime_param, std::shared_ptr<ModelLite> model) {
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         if (enable_fuse_preprocess) {
-            LITE_WARN("enable fuse-preprocess optimization");
+            LITE_LOG("enable fuse-preprocess optimization");
             model->get_config().options.fuse_preprocess = true;
         }
     }
@@ -27,7 +27,7 @@ void FusePreprocessOption::config_model_internel<ModelMdl>(
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         auto&& graph_option = model->get_mdl_config().comp_graph->options();
         if (enable_fuse_preprocess) {
-            mgb_log_warn("enable fuse-preprocess optimization");
+            mgb_log("enable fuse-preprocess optimization");
             graph_option.graph_opt.enable_fuse_preprocess();
         }
     }
@@ -35,7 +35,7 @@ void FusePreprocessOption::config_model_internel<ModelMdl>(
 }  // namespace lar
 using namespace lar;
 bool FusePreprocessOption::m_valid;
-FusePreprocessOption::FusePreprocessOption() {
+void FusePreprocessOption::update() {
     m_option_name = "fuse_preprocess";
     enable_fuse_preprocess = FLAGS_enable_fuse_preprocess;
     m_option = {{"enable_fuse_preprocess", lar::Bool::make(false)}};
@@ -51,6 +51,7 @@ bool FusePreprocessOption::is_valid() {
 std::shared_ptr<OptionBase> FusePreprocessOption::create_option() {
     static std::shared_ptr<FusePreprocessOption> option(new FusePreprocessOption);
     if (FusePreprocessOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;
@@ -73,7 +74,7 @@ void WeightPreprocessOption::config_model_internel<ModelLite>(
         RuntimeParam& runtime_param, std::shared_ptr<ModelLite> model) {
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         if (weight_preprocess) {
-            LITE_WARN("enable weight-preprocess optimization");
+            LITE_LOG("enable weight-preprocess optimization");
             model->get_config().options.weight_preprocess = true;
         }
     }
@@ -85,14 +86,14 @@ void WeightPreprocessOption::config_model_internel<ModelMdl>(
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         auto&& graph_option = model->get_mdl_config().comp_graph->options();
         if (weight_preprocess) {
-            mgb_log_warn("enable weight-preprocess optimization");
+            mgb_log("enable weight-preprocess optimization");
             graph_option.graph_opt.enable_weight_preprocess();
         }
     }
 }
 }  // namespace lar
 
-WeightPreprocessOption::WeightPreprocessOption() {
+void WeightPreprocessOption::update() {
     m_option_name = "weight_preprocess";
     weight_preprocess = FLAGS_weight_preprocess;
     m_option = {{"weight_preprocess", lar::Bool::make(false)}};
@@ -108,6 +109,7 @@ bool WeightPreprocessOption::is_valid() {
 std::shared_ptr<OptionBase> WeightPreprocessOption::create_option() {
     static std::shared_ptr<WeightPreprocessOption> option(new WeightPreprocessOption);
     if (WeightPreprocessOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;
@@ -142,14 +144,14 @@ void FuseConvBiasNonlinearOption::config_model_internel<ModelMdl>(
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         auto&& graph_option = model->get_mdl_config().comp_graph->options();
         if (enable_fuse_conv_bias_nonlinearity) {
-            mgb_log_warn("enable fuse conv+bias+nonlinearity optimization");
+            mgb_log("enable fuse conv+bias+nonlinearity optimization");
             graph_option.graph_opt.enable_fuse_conv_bias_nonlinearity();
         }
     }
 }
 }  // namespace lar
 
-FuseConvBiasNonlinearOption::FuseConvBiasNonlinearOption() {
+void FuseConvBiasNonlinearOption::update() {
     m_option_name = "fuse_conv_bias_nonlinearity";
     enable_fuse_conv_bias_nonlinearity = FLAGS_enable_fuse_conv_bias_nonlinearity;
     m_option = {{"enable_fuse_conv_bias_nonlinearity", lar::Bool::make(false)}};
@@ -166,6 +168,7 @@ std::shared_ptr<OptionBase> FuseConvBiasNonlinearOption::create_option() {
     static std::shared_ptr<FuseConvBiasNonlinearOption> option(
             new FuseConvBiasNonlinearOption);
     if (FuseConvBiasNonlinearOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;
@@ -203,14 +206,14 @@ void FuseConvBiasElemwiseAddOption::config_model_internel<ModelMdl>(
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         auto&& graph_option = model->get_mdl_config().comp_graph->options();
         if (enable_fuse_conv_bias_with_z) {
-            mgb_log_warn("enable fuse conv+bias+z optimization");
+            mgb_log("enable fuse conv+bias+z optimization");
             graph_option.graph_opt.enable_fuse_conv_bias_with_z();
         }
     }
 }
 }  // namespace lar
 
-FuseConvBiasElemwiseAddOption::FuseConvBiasElemwiseAddOption() {
+void FuseConvBiasElemwiseAddOption::update() {
     m_option_name = "fuse_conv_bias_with_z";
     enable_fuse_conv_bias_with_z = FLAGS_enable_fuse_conv_bias_with_z;
     m_option = {{"enable_fuse_conv_bias_with_z", lar::Bool::make(false)}};
@@ -227,6 +230,7 @@ std::shared_ptr<OptionBase> FuseConvBiasElemwiseAddOption::create_option() {
     static std::shared_ptr<FuseConvBiasElemwiseAddOption> option(
             new FuseConvBiasElemwiseAddOption);
     if (FuseConvBiasElemwiseAddOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;
@@ -250,26 +254,26 @@ void GraphRecordOption::config_model_internel<ModelLite>(
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         auto&& config_option = model->get_config().options;
         if (const_shape) {
-            LITE_WARN("enable const var shape");
+            LITE_LOG("enable const var shape");
             config_option.const_shape = true;
         }
         if (fake_first) {
-            LITE_WARN("enable fake-first optimization");
+            LITE_LOG("enable fake-first optimization");
             config_option.fake_next_exec = true;
         }
         if (no_sanity_check) {
-            LITE_WARN("disable var sanity check optimization");
+            LITE_LOG("disable var sanity check optimization");
             config_option.var_sanity_check_first_run = false;
         }
         if (m_record_comp_seq == 1) {
-            LITE_WARN("set record_comp_seq_level to 1");
+            LITE_LOG("set record_comp_seq_level to 1");
         }
         if (m_record_comp_seq == 2) {
             mgb_assert(
                     no_sanity_check,
                     "--no-sanity-check should be set before "
                     "--record-comp-seq2");
-            LITE_WARN("set record_comp_seq_level to 2");
+            LITE_LOG("set record_comp_seq_level to 2");
         }
         config_option.comp_node_seq_record_level = m_record_comp_seq;
     }
@@ -281,33 +285,33 @@ void GraphRecordOption::config_model_internel<ModelMdl>(
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         auto&& graph_option = model->get_mdl_config().comp_graph->options();
         if (const_shape) {
-            mgb_log_warn("enable const var shape");
+            mgb_log("enable const var shape");
             model->get_mdl_config().const_var_shape = true;
         }
         if (fake_first) {
-            mgb_log_warn("enable fake-first optimization");
+            mgb_log("enable fake-first optimization");
             graph_option.fake_next_exec = true;
         }
         if (no_sanity_check) {
-            mgb_log_warn("disable var sanity check optimization");
+            mgb_log("disable var sanity check optimization");
             graph_option.var_sanity_check_first_run = false;
         }
         if (m_record_comp_seq == 1) {
-            mgb_log_warn("set record_comp_seq_level to 1");
+            mgb_log("set record_comp_seq_level to 1");
         }
         if (m_record_comp_seq == 2) {
             mgb_assert(
                     no_sanity_check && !fake_first,
                     "--no-sanity-check should be set before "
                     "--record-comp-seq2 and --fake-first should not be set");
-            mgb_log_warn("set record_comp_seq_level to 2");
+            mgb_log("set record_comp_seq_level to 2");
         }
         graph_option.comp_node_seq_record_level = m_record_comp_seq;
     }
 }
 }  // namespace lar
 
-GraphRecordOption::GraphRecordOption() {
+void GraphRecordOption::update() {
     m_option_name = "graph_record";
     m_record_comp_seq = 0;
     const_shape = FLAGS_const_shape;
@@ -350,6 +354,7 @@ bool GraphRecordOption::is_valid() {
 std::shared_ptr<OptionBase> GraphRecordOption::create_option() {
     static std::shared_ptr<GraphRecordOption> option(new GraphRecordOption);
     if (GraphRecordOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;
@@ -387,7 +392,7 @@ void MemoryOptimizeOption::config_model_internel<ModelLite>(
         }
     } else if (runtime_param.stage == RunStage::AFTER_MODEL_LOAD) {
         if (workspace_limit != SIZE_MAX) {
-            LITE_WARN("set workspace limit to %ld", workspace_limit);
+            LITE_LOG("set workspace limit to %ld", workspace_limit);
             lite::Runtime::set_network_algo_workspace_limit(
                     model->get_lite_network(), workspace_limit);
         }
@@ -400,12 +405,12 @@ void MemoryOptimizeOption::config_model_internel<ModelMdl>(
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         auto&& graph_option = model->get_mdl_config().comp_graph->options();
         if (disable_mem_opt) {
-            mgb_log_warn("disable memory optimization");
+            mgb_log("disable memory optimization");
             graph_option.seq_opt.enable_mem_plan_opt = false;
             graph_option.seq_opt.enable_mem_reuse_alloc = false;
         }
         if (workspace_limit < SIZE_MAX) {
-            mgb_log_warn("set workspace limit to %ld", workspace_limit);
+            mgb_log("set workspace limit to %ld", workspace_limit);
             auto&& output_spec = model->get_output_spec();
             mgb::SymbolVarArray vars;
             for (auto i : output_spec) {
@@ -417,7 +422,7 @@ void MemoryOptimizeOption::config_model_internel<ModelMdl>(
 }
 }  // namespace lar
 
-MemoryOptimizeOption::MemoryOptimizeOption() {
+void MemoryOptimizeOption::update() {
     m_option_name = "memory_optimize";
     disable_mem_opt = FLAGS_disable_mem_opt;
     workspace_limit = FLAGS_workspace_limit;
@@ -432,6 +437,7 @@ bool MemoryOptimizeOption::is_valid() {
 std::shared_ptr<OptionBase> MemoryOptimizeOption::create_option() {
     static std::shared_ptr<MemoryOptimizeOption> option(new MemoryOptimizeOption);
     if (MemoryOptimizeOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;
@@ -451,7 +457,7 @@ void JITOption::config_model_internel<ModelLite>(
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         auto&& config_option = model->get_config().options;
         if (enable_jit) {
-            LITE_WARN("enable JIT (level 1)");
+            LITE_LOG("enable JIT (level 1)");
             config_option.jit_level = 1;
         }
     }
@@ -463,13 +469,13 @@ void JITOption::config_model_internel<ModelMdl>(
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         auto&& graph_option = model->get_mdl_config().comp_graph->options();
         if (enable_jit) {
-            mgb_log_warn("enable JIT (level 1)");
+            mgb_log("enable JIT (level 1)");
             graph_option.graph_opt.jit = 1;
         }
     }
 }
 }  // namespace lar
-JITOption::JITOption() {
+void JITOption::update() {
     m_option_name = "JIT";
     enable_jit = FLAGS_enable_jit;
 }
@@ -482,6 +488,7 @@ bool JITOption::is_valid() {
 std::shared_ptr<OptionBase> JITOption::create_option() {
     static std::shared_ptr<JITOption> option(new JITOption);
     if (JITOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;
@@ -500,12 +507,12 @@ void TensorRTOption::config_model_internel<ModelLite>(
         RuntimeParam& runtime_param, std::shared_ptr<ModelLite> model) {
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         if (!tensorrt_cache.empty()) {
-            LITE_WARN("set tensorrt cache as %s", tensorrt_cache.c_str());
+            LITE_LOG("set tensorrt cache as %s", tensorrt_cache.c_str());
             lite::set_tensor_rt_cache(tensorrt_cache);
         }
     } else if (runtime_param.stage == RunStage::AFTER_MODEL_LOAD) {
         if (enable_tensorrt) {
-            LITE_WARN("enable TensorRT");
+            LITE_LOG("enable TensorRT");
             lite::Runtime::use_tensorrt(model->get_lite_network());
         }
     } else if (runtime_param.stage == RunStage::AFTER_MODEL_RUNNING) {
@@ -521,11 +528,11 @@ void TensorRTOption::config_model_internel<ModelMdl>(
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         auto&& graph_option = model->get_mdl_config().comp_graph->options();
         if (enable_tensorrt) {
-            mgb_log_warn("using tensorRT");
+            mgb_log("using tensorRT");
             graph_option.graph_opt.tensorrt = true;
         }
         if (!tensorrt_cache.empty()) {
-            mgb_log_warn("use tensorrt cache: %s", tensorrt_cache.c_str());
+            mgb_log("use tensorrt cache: %s", tensorrt_cache.c_str());
             mgb::TensorRTEngineCache::enable_engine_cache(true);
             mgb::TensorRTEngineCache::set_impl(
                     std::make_shared<mgb::TensorRTEngineCacheIO>(
@@ -541,7 +548,7 @@ void TensorRTOption::config_model_internel<ModelMdl>(
 }
 }  // namespace lar
 
-TensorRTOption::TensorRTOption() {
+void TensorRTOption::update() {
     m_option_name = "tensorRT";
     enable_tensorrt = FLAGS_tensorrt;
     tensorrt_cache = FLAGS_tensorrt_cache;
@@ -556,6 +563,7 @@ bool TensorRTOption::is_valid() {
 std::shared_ptr<OptionBase> TensorRTOption::create_option() {
     static std::shared_ptr<TensorRTOption> option(new TensorRTOption);
     if (TensorRTOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;

lite/load_and_run/src/options/optimize_options.h

@@ -39,8 +39,10 @@ public:
 
     OptionValMap* get_option() override { return &m_option; }
 
+    void update() override;
+
 private:
-    FusePreprocessOption();
+    FusePreprocessOption() = default;
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>){};
 
@@ -65,8 +67,10 @@ public:
 
     OptionValMap* get_option() override { return &m_option; }
 
+    void update() override;
+
 private:
-    WeightPreprocessOption();
+    WeightPreprocessOption() = default;
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>){};
 
@@ -91,8 +95,10 @@ public:
 
     OptionValMap* get_option() override { return &m_option; }
 
+    void update() override;
+
 private:
-    FuseConvBiasNonlinearOption();
+    FuseConvBiasNonlinearOption() = default;
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>){};
 
@@ -117,8 +123,10 @@ public:
 
     OptionValMap* get_option() override { return &m_option; }
 
+    void update() override;
+
 private:
-    FuseConvBiasElemwiseAddOption();
+    FuseConvBiasElemwiseAddOption() = default;
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>){};
     std::string m_option_name;
@@ -143,8 +151,10 @@ public:
 
     OptionValMap* get_option() override { return &m_option; }
 
+    void update() override;
+
 private:
-    GraphRecordOption();
+    GraphRecordOption() = default;
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>){};
 
@@ -169,8 +179,10 @@ public:
 
     std::string option_name() const override { return m_option_name; };
 
+    void update() override;
+
 private:
-    MemoryOptimizeOption();
+    MemoryOptimizeOption() = default;
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>){};
 
@@ -191,8 +203,10 @@ public:
 
     std::string option_name() const override { return m_option_name; };
 
+    void update() override;
+
 private:
-    JITOption();
+    JITOption() = default;
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>){};
 
@@ -212,8 +226,10 @@ public:
 
     std::string option_name() const override { return m_option_name; };
 
+    void update() override;
+
 private:
-    TensorRTOption();
+    TensorRTOption() = default;
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>){};
 

lite/load_and_run/src/options/option_base.h

@@ -28,6 +28,10 @@ public:
     //! get option map
     virtual OptionValMap* get_option() { return nullptr; }
 
+    //! update option value
+
+    virtual void update(){};
+
     virtual ~OptionBase() = default;
 };
 

lite/load_and_run/src/options/plugin_options.cpp

@@ -22,10 +22,10 @@ void PluginOption::config_model_internel<ModelLite>(
     else if (runtime_param.stage == RunStage::AFTER_MODEL_LOAD) {
         if (!profile_path.empty()) {
             if (!enable_profile_host) {
-                LITE_WARN("enable profiling");
+                LITE_LOG("enable profiling");
                 model->get_lite_network()->enable_profile_performance(profile_path);
             } else {
-                LITE_WARN("enable profiling for host");
+                LITE_LOG("enable profiling for host");
                 model->get_lite_network()->enable_profile_performance(profile_path);
             }
         }
@@ -39,18 +39,18 @@ void PluginOption::config_model_internel<ModelMdl>(
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         auto&& config = model->get_mdl_config();
         if (range > 0) {
-            mgb_log_warn("enable number range check");
+            mgb_log("enable number range check");
             model->set_num_range_checker(float(range));
         }
 
         if (enable_check_dispatch) {
-            mgb_log_warn("enable cpu dispatch check");
+            mgb_log("enable cpu dispatch check");
             cpu_dispatch_checker =
                     std::make_unique<mgb::CPUDispatchChecker>(config.comp_graph.get());
         }
 
         if (!var_value_check_str.empty()) {
-            mgb_log_warn("enable variable value check");
+            mgb_log("enable variable value check");
             size_t init_idx = 0, switch_interval;
             auto sep = var_value_check_str.find(':');
             if (sep != std::string::npos) {
@@ -67,9 +67,9 @@ void PluginOption::config_model_internel<ModelMdl>(
 
         if (!profile_path.empty()) {
             if (!enable_profile_host) {
-                mgb_log_warn("enable profiling");
+                mgb_log("enable profiling");
             } else {
-                mgb_log_warn("enable profiling for host");
+                mgb_log("enable profiling for host");
             }
             model->set_profiler();
         }
@@ -79,12 +79,11 @@ void PluginOption::config_model_internel<ModelMdl>(
     else if (runtime_param.stage == RunStage::AFTER_MODEL_RUNNING) {
 #if MGB_ENABLE_JSON
         if (!profile_path.empty()) {
-            mgb_log_warn("filename %s", profile_path.c_str());
             if (model->get_profiler()) {
                 model->get_profiler()
                         ->to_json_full(model->get_async_func().get())
                         ->writeto_fpath(profile_path);
-                mgb_log_warn("profiling result written to %s", profile_path.c_str());
+                mgb_log("profiling result written to %s", profile_path.c_str());
             }
         }
 #endif
@@ -94,7 +93,7 @@ void PluginOption::config_model_internel<ModelMdl>(
 }  // namespace lar
 
 using namespace lar;
-PluginOption::PluginOption() {
+void PluginOption::update() {
     m_option_name = "plugin";
     range = FLAGS_range;
     enable_check_dispatch = FLAGS_check_dispatch;
@@ -125,6 +124,7 @@ bool PluginOption::is_valid() {
 std::shared_ptr<OptionBase> PluginOption::create_option() {
     static std::shared_ptr<PluginOption> option(new PluginOption);
     if (PluginOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;
@@ -199,7 +199,7 @@ void DebugOption::format_and_print(
 
     std::stringstream ss;
     ss << table;
-    printf("%s\n\n", ss.str().c_str());
+    LITE_LOG("%s\n\n", ss.str().c_str());
 }
 
 template <>
@@ -243,7 +243,7 @@ void DebugOption::format_and_print(
 
     std::stringstream ss;
     ss << table;
-    printf("%s\n\n", ss.str().c_str());
+    mgb_log("%s\n\n", ss.str().c_str());
 }
 
 template <>
@@ -260,7 +260,7 @@ void DebugOption::config_model_internel<ModelLite>(
 #endif
 #endif
         if (enable_verbose) {
-            LITE_WARN("enable verbose");
+            LITE_LOG("enable verbose");
             lite::set_log_level(LiteLogLevel::DEBUG);
         }
 
@@ -272,7 +272,7 @@ void DebugOption::config_model_internel<ModelLite>(
 #endif
     } else if (runtime_param.stage == RunStage::AFTER_MODEL_LOAD) {
         if (enable_display_model_info) {
-            LITE_WARN("enable display model information");
+            LITE_LOG("enable display model information");
             format_and_print<ModelLite>("Runtime Model Info", model);
         }
     } else if (runtime_param.stage == RunStage::AFTER_MODEL_RUNNING) {
@@ -287,7 +287,7 @@ void DebugOption::config_model_internel<ModelMdl>(
         RuntimeParam& runtime_param, std::shared_ptr<ModelMdl> model) {
     if (runtime_param.stage == RunStage::BEFORE_MODEL_LOAD) {
         if (enable_verbose) {
-            mgb_log_warn("enable verbose");
+            mgb_log("enable verbose");
             mgb::set_log_level(mgb::LogLevel::DEBUG);
         }
 
@@ -299,21 +299,21 @@ void DebugOption::config_model_internel<ModelMdl>(
 #endif
     } else if (runtime_param.stage == RunStage::BEFORE_OUTSPEC_SET) {
         if (enable_display_model_info) {
-            mgb_log_warn("enable display model information");
+            mgb_log("enable display model information");
             format_and_print<ModelMdl>("Runtime Model Info", model);
         }
     } else if (runtime_param.stage == RunStage::AFTER_OUTSPEC_SET) {
 #ifndef __IN_TEE_ENV__
 #if MGB_ENABLE_JSON
         if (!static_mem_log_dir_path.empty()) {
-            mgb_log_warn("enable get static memeory information");
+            mgb_log("enable get static memeory information");
             model->get_async_func()->get_static_memory_alloc_info(
                     static_mem_log_dir_path);
         }
 #endif
 #endif
         if (disable_assert_throw) {
-            mgb_log_warn("disable assert throw");
+            mgb_log("disable assert throw");
             auto on_opr = [](mgb::cg::OperatorNodeBase* opr) {
                 if (opr->same_type<mgb::opr::AssertEqual>()) {
                     opr->cast_final<mgb::opr::AssertEqual>().disable_throw_on_error();
@@ -333,7 +333,7 @@ void DebugOption::config_model_internel<ModelMdl>(
 
 }  // namespace lar
 
-DebugOption::DebugOption() {
+void DebugOption::update() {
     m_option_name = "debug";
     enable_display_model_info = FLAGS_model_info;
     enable_verbose = FLAGS_verbose;
@@ -367,6 +367,7 @@ bool DebugOption::is_valid() {
 std::shared_ptr<OptionBase> DebugOption::create_option() {
     static std::shared_ptr<DebugOption> option(new DebugOption);
     if (DebugOption::is_valid()) {
+        option->update();
         return std::static_pointer_cast<OptionBase>(option);
     } else {
         return nullptr;

lite/load_and_run/src/options/plugin_options.h

@@ -44,8 +44,10 @@ public:
 
     std::string option_name() const override { return m_option_name; };
 
+    void update() override;
+
 private:
-    PluginOption();
+    PluginOption() = default;
     template <typename ModelImpl>
     void config_model_internel(RuntimeParam&, std::shared_ptr<ModelImpl>){};
     double range;
@@ -74,8 +76,10 @@ public:
 
     std::string option_name() const override { return m_option_name; };
 
+    void update() override;
+
 private:
-    DebugOption();
+    DebugOption() = default;
     template <typename ModelImpl>
     void format_and_print(const std::string&, std::shared_ptr<ModelImpl>){};
     template <typename ModelImpl>

lite/load_and_run/src/options/strategy_options.cpp

@@ -5,7 +5,7 @@ using namespace lar;
 
 DECLARE_bool(c_opr_lib_with_param);
 DECLARE_bool(fitting);
-StrategyOption::StrategyOption() {
+void StrategyOption::update() {
     m_option_name = "run_strategy";
     warmup_iter = FLAGS_fitting ? 3 : FLAGS_warmup_iter;
     run_iter = FLAGS_fitting ? 10 : FLAGS_iter;
@@ -20,6 +20,7 @@ StrategyOption::StrategyOption() {
 
 std::shared_ptr<OptionBase> StrategyOption::create_option() {
     static std::shared_ptr<StrategyOption> option(new StrategyOption);
+    option->update();
     return std::static_pointer_cast<OptionBase>(option);
 }
 
@@ -43,12 +44,13 @@ void StrategyOption::config_model(
     }
 }
 
-TestcaseOption::TestcaseOption() {
+void TestcaseOption::update() {
     m_option_name = "run_testcase";
 }
 
 std::shared_ptr<OptionBase> TestcaseOption::create_option() {
     static std::shared_ptr<TestcaseOption> option(new TestcaseOption);
+    option->update();
     return std::static_pointer_cast<OptionBase>(option);
 }
 

lite/load_and_run/src/options/strategy_options.h

@@ -25,9 +25,11 @@ public:
 
     OptionValMap* get_option() override { return &m_option; }
 
+    void update() override;
+
 private:
     //! Constructor
-    StrategyOption();
+    StrategyOption() = default;
 
     //! configuration for different model implement
     std::string m_option_name;
@@ -52,9 +54,11 @@ public:
     //! get option name
     std::string option_name() const override { return m_option_name; };
 
+    void update() override;
+
 private:
     //! Constructor
-    TestcaseOption();
+    TestcaseOption() = default;
 
     //! configuration for different model implement
     std::string m_option_name;

lite/load_and_run/src/strategys/strategy_fitting.cpp

@@ -233,8 +233,8 @@ void OptionsTimeProfiler::profile_with_given_options(
                 "the log) when profile option:\n%s\n",
                 option_code.c_str());
     } else {
-        printf("profile option:\n%s\naverage time = %.2f\n", option_code.c_str(),
-               average);
+        mgb_log("profile option:\n%s\naverage time = %.2f\n", option_code.c_str(),
+                average);
         //! record profile result
         m_options_profile_result.insert({option_code, average});
 
@@ -370,7 +370,6 @@ void UserInfoParser::parse_info(std::shared_ptr<OptionsFastManager>& manager) {
 FittingStrategy::FittingStrategy(std::string model_path) {
     m_manager = std::make_shared<OptionsFastManager>();
     m_dumped_model = FLAGS_dump_fitting_model;
-    mgb::set_log_level(mgb::LogLevel::INFO);
     m_options = std::make_shared<OptionMap>();
     m_model_path = model_path;
     auto option_creator_map = OptionFactory::get_Instance().get_option_creator_map();
@@ -518,10 +517,10 @@ void FittingStrategy::AutoCleanFile::dump_model() {
 void FittingStrategy::run() {
     auto mgb_version = mgb::get_version();
     auto dnn_version = megdnn::get_version();
-    printf("megbrain/lite/load_and_run:\nusing MegBrain "
-           "%d.%d.%d(%d) and MegDNN %d.%d.%d\n",
-           mgb_version.major, mgb_version.minor, mgb_version.patch, mgb_version.is_dev,
-           dnn_version.major, dnn_version.minor, dnn_version.patch);
+    mgb_log("megbrain/lite/load_and_run:\nusing MegBrain "
+            "%d.%d.%d(%d) and MegDNN %d.%d.%d\n",
+            mgb_version.major, mgb_version.minor, mgb_version.patch, mgb_version.is_dev,
+            dnn_version.major, dnn_version.minor, dnn_version.patch);
     // ! create profiler with given user info
     m_info_parser.get_user_info();
     m_info_parser.parse_info(m_manager);

lite/load_and_run/src/strategys/strategy_normal.cpp

@@ -5,13 +5,10 @@
 #include "megbrain/utils/timer.h"
 #include "megbrain/version.h"
 #include "megdnn/version.h"
-#include "misc.h"
 
 using namespace lar;
 
 NormalStrategy::NormalStrategy(std::string model_path) {
-    mgb::set_log_level(mgb::LogLevel::WARN);
-    lite::set_log_level(LiteLogLevel::WARN);
     m_options = std::make_shared<OptionMap>();
     m_model_path = model_path;
     auto option_creator_map = OptionFactory::get_Instance().get_option_creator_map();
@@ -47,7 +44,7 @@ void NormalStrategy::run_subline() {
 
     mgb::RealTimer timer;
     model->load_model();
-    printf("load model: %.3fms\n", timer.get_msecs_reset());
+    mgb_log("load model: %.3fms\n", timer.get_msecs_reset());
 
     //! after load configure
     auto config_after_load = [&]() {
@@ -62,10 +59,10 @@ void NormalStrategy::run_subline() {
     auto warm_up = [&]() {
         auto warmup_num = m_runtime_param.warmup_iter;
         for (size_t i = 0; i < warmup_num; i++) {
-            printf("=== prepare: %.3fms; going to warmup\n\n", timer.get_msecs_reset());
+            mgb_log("=== prepare: %.3fms; going to warmup", timer.get_msecs_reset());
             model->run_model();
             model->wait();
-            printf("warm up %lu  %.3fms\n", i, timer.get_msecs_reset());
+            mgb_log("warm up %lu  %.3fms", i, timer.get_msecs_reset());
             m_runtime_param.stage = RunStage::AFTER_RUNNING_WAIT;
             stage_config_model();
         }
@@ -83,21 +80,21 @@ void NormalStrategy::run_subline() {
             auto cur = timer.get_msecs();
             m_runtime_param.stage = RunStage::AFTER_RUNNING_WAIT;
             stage_config_model();
-            printf("iter %lu/%lu: e2e=%.3f ms (host=%.3f ms)\n", i, run_num, cur,
-                   exec_time);
+            mgb_log("iter %lu/%lu: e2e=%.3f ms (host=%.3f ms)", i, run_num, cur,
+                    exec_time);
             time_sum += cur;
             time_sqrsum += cur * cur;
             fflush(stdout);
             min_time = std::min(min_time, cur);
             max_time = std::max(max_time, cur);
         }
-        printf("\n=== finished test #%u: time=%.3f ms avg_time=%.3f ms "
-               "standard_deviation=%.3f ms min=%.3f ms max=%.3f ms\n\n",
-               idx, time_sum, time_sum / run_num,
-               std::sqrt(
-                       (time_sqrsum * run_num - time_sum * time_sum) /
-                       (run_num * (run_num - 1))),
-               min_time, max_time);
+        mgb_log("=== finished test #%u: time=%.3f ms avg_time=%.3f ms "
+                "standard_deviation=%.3f ms min=%.3f ms max=%.3f ms",
+                idx, time_sum, time_sum / run_num,
+                std::sqrt(
+                        (time_sqrsum * run_num - time_sum * time_sum) /
+                        (run_num * (run_num - 1))),
+                min_time, max_time);
         return time_sum;
     };
 
@@ -122,7 +119,7 @@ void NormalStrategy::run_subline() {
         stage_config_model();
     }
 
-    printf("=== total time: %.3fms\n", tot_time);
+    mgb_log("=== total time: %.3fms\n", tot_time);
     //! execute after run
     m_runtime_param.stage = RunStage::AFTER_MODEL_RUNNING;
     stage_config_model();
@@ -131,9 +128,9 @@ void NormalStrategy::run_subline() {
 void NormalStrategy::run() {
     auto v0 = mgb::get_version();
     auto v1 = megdnn::get_version();
-    printf("megbrain/lite/load_and_run:\nusing MegBrain "
-           "%d.%d.%d(%d) and MegDNN %d.%d.%d\n",
-           v0.major, v0.minor, v0.patch, v0.is_dev, v1.major, v1.minor, v1.patch);
+    mgb_log("megbrain/lite/load_and_run:\nusing MegBrain "
+            "%d.%d.%d(%d) and MegDNN %d.%d.%d\n",
+            v0.major, v0.minor, v0.patch, v0.is_dev, v1.major, v1.minor, v1.patch);
 
     size_t thread_num = m_runtime_param.threads;
     auto run_sub = [&]() { run_subline(); };

lite/src/misc.h

@@ -73,7 +73,7 @@ public:
 #define LITE_LOG_(level, msg...) (void)0
 #endif
 
-#define LITE_LOG(fmt...)   LITE_LOG_(DEBUG, fmt);
+#define LITE_LOG(fmt...)   LITE_LOG_(INFO, fmt);
 #define LITE_DEBUG(fmt...) LITE_LOG_(DEBUG, fmt);
 #define LITE_WARN(fmt...)  LITE_LOG_(WARN, fmt);
 #define LITE_ERROR(fmt...) LITE_LOG_(ERROR, fmt);

lite/test/CMakeLists.txt

@@ -1,14 +1,14 @@
 if(MGE_WITH_TEST)
+  include_directories(PUBLIC
+                      $<BUILD_INTERFACE:${PROJECT_SOURCE_DIR}/lite/load_and_run/src>)
   file(GLOB_RECURSE SOURCES ./*.cpp main.cpp)
   add_executable(lite_test ${SOURCES})
-
+  target_link_libraries(lite_test lar_object)
   target_link_libraries(lite_test gtest)
-  target_link_libraries(lite_test lite_static)
   if(LITE_BUILD_WITH_MGE)
-    # lite_test will depends megbrain interface
-    target_link_libraries(lite_test megbrain)
     if(MGE_WITH_ROCM)
       # FIXME: hip obj can not find cpp obj only through lite_static
+      message(WARNING "MGE_WITH_ROCM is valid link to megdnn")
       target_link_libraries(lite_test megdnn)
     endif()
   endif()

lite/test/test_layout_options.cpp

@@ -0,0 +1,85 @@
+#include <gtest/gtest.h>
+#include <string.h>
+#include <memory>
+#include "test_options.h"
+
+using namespace lar;
+DECLARE_bool(lite);
+DECLARE_bool(cpu);
+#if LITE_WITH_CUDA
+DECLARE_bool(cuda);
+#endif
+
+DECLARE_bool(enable_nchw4);
+DECLARE_bool(enable_chwn4);
+DECLARE_bool(enable_nchw44);
+DECLARE_bool(enable_nchw88);
+DECLARE_bool(enable_nchw32);
+DECLARE_bool(enable_nchw64);
+DECLARE_bool(enable_nhwcd4);
+DECLARE_bool(enable_nchw44_dot);
+namespace {
+BOOL_OPTION_WRAP(enable_nchw4);
+BOOL_OPTION_WRAP(enable_chwn4);
+BOOL_OPTION_WRAP(enable_nchw44);
+BOOL_OPTION_WRAP(enable_nchw88);
+BOOL_OPTION_WRAP(enable_nchw32);
+BOOL_OPTION_WRAP(enable_nchw64);
+BOOL_OPTION_WRAP(enable_nhwcd4);
+BOOL_OPTION_WRAP(enable_nchw44_dot);
+
+BOOL_OPTION_WRAP(lite);
+BOOL_OPTION_WRAP(cpu);
+#if LITE_WITH_CUDA
+BOOL_OPTION_WRAP(cuda);
+#endif
+}  // anonymous namespace
+
+TEST(TestLarLayout, X86_CPU) {
+    DEFINE_WRAP(cpu);
+    std::string model_path = "./shufflenet.mge";
+
+    TEST_BOOL_OPTION(enable_nchw4);
+    TEST_BOOL_OPTION(enable_chwn4);
+    TEST_BOOL_OPTION(enable_nchw44);
+    TEST_BOOL_OPTION(enable_nchw44_dot);
+    TEST_BOOL_OPTION(enable_nchw64);
+    TEST_BOOL_OPTION(enable_nchw32);
+    TEST_BOOL_OPTION(enable_nchw88);
+}
+
+TEST(TestLarLayout, X86_CPU_LITE) {
+    DEFINE_WRAP(cpu);
+    DEFINE_WRAP(lite);
+    std::string model_path = "./shufflenet.mge";
+
+    TEST_BOOL_OPTION(enable_nchw4);
+    TEST_BOOL_OPTION(enable_nchw44);
+    TEST_BOOL_OPTION(enable_nchw44_dot);
+    TEST_BOOL_OPTION(enable_nchw64);
+    TEST_BOOL_OPTION(enable_nchw32);
+    TEST_BOOL_OPTION(enable_nchw88);
+}
+#if LITE_WITH_CUDA
+TEST(TestLarLayout, CUDA) {
+    DEFINE_WRAP(cuda);
+    std::string model_path = "./shufflenet.mge";
+    TEST_BOOL_OPTION(enable_nchw4);
+    TEST_BOOL_OPTION(enable_chwn4);
+    TEST_BOOL_OPTION(enable_nchw64);
+    TEST_BOOL_OPTION(enable_nchw32);
+
+    FLAGS_cuda = false;
+}
+
+TEST(TestLarLayout, CUDA_LITE) {
+    DEFINE_WRAP(cuda);
+    DEFINE_WRAP(lite);
+    std::string model_path = "./shufflenet.mge";
+
+    TEST_BOOL_OPTION(enable_nchw4);
+    TEST_BOOL_OPTION(enable_nchw64);
+    TEST_BOOL_OPTION(enable_nchw32);
+}
+#endif
+// vim: syntax=cpp.doxygen foldmethod=marker foldmarker=f{{{,f}}}

lite/test/test_options.cpp

@@ -0,0 +1,12 @@
+#include "test_options.h"
+using namespace lar;
+
+void lar::run_NormalStrategy(std::string model_path) {
+    auto origin_level = mgb::get_log_level();
+    mgb::set_log_level(mgb::LogLevel::WARN);
+    NormalStrategy strategy(model_path);
+    strategy.run();
+    mgb::set_log_level(origin_level);
+}
+
+// vim: syntax=cpp.doxygen foldmethod=marker foldmarker=f{{{,f}}}

lite/test/test_options.h

@@ -0,0 +1,33 @@
+#pragma once
+
+#include <iostream>
+#include <thread>
+#include "../load_and_run/src/strategys/strategy.h"
+#include "../load_and_run/src/strategys/strategy_normal.h"
+#include "megbrain/common.h"
+#include "megbrain/utils/timer.h"
+#include "megbrain/version.h"
+#include "megdnn/version.h"
+#include "misc.h"
+
+namespace lar {
+
+//! run load_and_run NormalStrategy to test different options
+
+void run_NormalStrategy(std::string model_path);
+
+}  // namespace lar
+#define BOOL_OPTION_WRAP(option)                               \
+    struct BoolOptionWrap_##option {                           \
+        BoolOptionWrap_##option() { FLAGS_##option = true; }   \
+        ~BoolOptionWrap_##option() { FLAGS_##option = false; } \
+    };
+
+#define DEFINE_WRAP(option) BoolOptionWrap_##option flags_##option;
+
+#define TEST_BOOL_OPTION(option)                \
+    {                                           \
+        BoolOptionWrap_##option flags_##option; \
+        run_NormalStrategy(model_path);         \
+    }
+// vim: syntax=cpp.doxygen foldmethod=marker foldmarker=f{{{,f}}}