feat(dnn/opencl): add binary interface for opencl algo and kernel cache

GitOrigin-RevId: 3c084fafd9

lite/load_and_run/src/options/device_options.cpp

@@ -155,6 +155,8 @@ XPUDeviceOption::XPUDeviceOption() {
                 thread_cnt == thread_num,
                 "core ids number should be same with thread number set before");
         enable_set_core_ids = true;
+    } else {
+        enable_set_core_ids = false;
     }
 
     m_option = {
@@ -237,6 +239,8 @@ void XPUDeviceOption::config_model(
                 thread_cnt == thread_num,
                 "core ids number should be same with thread number set before");
         enable_set_core_ids = true;
+    } else {
+        enable_set_core_ids = false;
     }
 
     CONFIG_MODEL_FUN;

lite/load_and_run/src/options/device_options.h

@@ -17,8 +17,7 @@ class XPUDeviceOption final : public OptionBase {
 public:
     static bool is_valid();
     static std::shared_ptr<OptionBase> create_option();
-    void config_model(
-            RuntimeParam& runtime_param, std::shared_ptr<ModelBase> model) override;
+    void config_model(RuntimeParam&, std::shared_ptr<ModelBase>) override;
     std::string option_name() const override { return m_option_name; };
 
     static void set_valid(bool val) { m_valid = val; }

lite/load_and_run/src/strategys/strategy_fitting.cpp

@@ -160,6 +160,7 @@ void OptionsTimeProfiler::profile_with_given_options(
     mgb::RealTimer timer;
     auto stage_config_model = [&]() {
         for (auto& option : *given_options) {
+            mgb_assert(option.second, "invalid option %s\n", option.first.c_str());
             option.second->config_model(runtime_param, model);
         }
     };
@@ -456,7 +457,6 @@ void FittingStrategy::dump_best_options_with_model() {
     }
     model->run_model();
     model->wait();
-
     std::vector<uint8_t> model_data = model->get_model_data();
     mgb_log_warn("model_data size=%zu", model_data.size());
     mgb_log_warn("json_info size=%zu", json_info.size());
@@ -465,7 +465,7 @@ void FittingStrategy::dump_best_options_with_model() {
     lite::ModelPacker packer(
             model_data, m_dumped_model, json_info, info_algo_policy_data,
             info_binary_cache_data);
-    packer.set_header();
+    packer.set_header("NONE", "NONE", info_binary_cache_data.empty());
     packer.pack_model();
 }
 ///////////////////////// AutoCleanFile///////////////////////////