external interface modify

include/api/callback/ckpt_saver.h

@@ -21,13 +21,21 @@
 #include <vector>
 #include <memory>
 #include "include/api/callback/callback.h"
+#include "include/api/dual_abi_helper.h"
 
 namespace mindspore {
 
 class CkptSaver: public TrainCallBack {
  public:
-  explicit CkptSaver(int save_every_n, const std::string &filename_prefix);
+  inline CkptSaver(int save_every_n, const std::string &filename_prefix);
   virtual ~CkptSaver();
+
+ private:
+  CkptSaver(int save_every_n, const std::vector<char> &filename_prefix);
 };
+
+CkptSaver::CkptSaver(int save_every_n, const std::string &filename_prefix)
+    : CkptSaver(save_every_n, StringToChar(filename_prefix)) {}
+
 }  // namespace mindspore
 #endif  // MINDSPORE_INCLUDE_API_CALLBACK_CKPT_SAVER_H

include/api/model.h

@@ -104,7 +104,7 @@ class MS_API Model {
   /// \param[in] config_path config file path.
   ///
   /// \return Status.
-  Status LoadConfig(const std::string &config_path);
+  inline Status LoadConfig(const std::string &config_path);
 
   /// \brief Obtains all input tensors of the model.
   ///
@@ -189,9 +189,9 @@ class MS_API Model {
   /// \param[in] dec_mode Define the decryption mode. Options: AES-GCM, AES-CBC.
   ///
   /// \return Status.
-  Status Build(const void *model_data, size_t data_size, ModelType model_type,
+  inline Status Build(const void *model_data, size_t data_size, ModelType model_type,
-               const std::shared_ptr<Context> &model_context = nullptr, const Key &dec_key = {},
+                      const std::shared_ptr<Context> &model_context = nullptr, const Key &dec_key = {},
-               const std::string &dec_mode = kDecModeAesGcm);
+                      const std::string &dec_mode = kDecModeAesGcm);
 
   /// \brief Load and build a model from model buffer so that it can run on a device. Only valid for Lite.
   ///
@@ -203,9 +203,9 @@ class MS_API Model {
   /// \param[in] dec_mode Define the decryption mode. Options: AES-GCM, AES-CBC.
   ///
   /// \return Status.
-  Status Build(const std::string &model_path, ModelType model_type,
+  inline Status Build(const std::string &model_path, ModelType model_type,
-               const std::shared_ptr<Context> &model_context = nullptr, const Key &dec_key = {},
+                      const std::shared_ptr<Context> &model_context = nullptr, const Key &dec_key = {},
-               const std::string &dec_mode = kDecModeAesGcm);
+                      const std::string &dec_mode = kDecModeAesGcm);
 
  private:
   friend class Serialization;
@@ -214,6 +214,11 @@ class MS_API Model {
   std::vector<std::vector<char>> GetOutputTensorNamesChar();
   MSTensor GetOutputByTensorName(const std::vector<char> &tensor_name);
   std::vector<MSTensor> GetOutputsByNodeName(const std::vector<char> &node_name);
+  Status LoadConfig(const std::vector<char> &config_path);
+  Status Build(const void *model_data, size_t data_size, ModelType model_type,
+               const std::shared_ptr<Context> &model_context, const Key &dec_key, const std::vector<char> &dec_mode);
+  Status Build(const std::vector<char> &model_path, ModelType model_type, const std::shared_ptr<Context> &model_context,
+               const Key &dec_key, const std::vector<char> &dec_mode);
 
   std::shared_ptr<ModelImpl> impl_;
 };
@@ -231,5 +236,19 @@ MSTensor Model::GetOutputByTensorName(const std::string &tensor_name) {
 std::vector<MSTensor> Model::GetOutputsByNodeName(const std::string &node_name) {
   return GetOutputsByNodeName(StringToChar(node_name));
 }
+
+Status Model::LoadConfig(const std::string &config_path) {
+  return LoadConfig(StringToChar(config_path));
+}
+
+Status Model::Build(const void *model_data, size_t data_size, ModelType model_type,
+                    const std::shared_ptr<Context> &model_context, const Key &dec_key, const std::string &dec_mode) {
+  return Build(model_data, data_size, model_type, model_context, dec_key, StringToChar(dec_mode));
+}
+
+Status Model::Build(const std::string &model_path, ModelType model_type, const std::shared_ptr<Context> &model_context,
+                    const Key &dec_key, const std::string &dec_mode) {
+  return Build(StringToChar(model_path), model_type, model_context, dec_key, StringToChar(dec_mode));
+}
 }  // namespace mindspore
 #endif  // MINDSPORE_INCLUDE_API_MODEL_H

include/api/serialization.h

@@ -68,9 +68,9 @@ class MS_API Serialization {
                             const Key &dec_key = {}, const std::string &dec_mode = kDecModeAesGcm);
   static Status SetParameters(const std::map<std::string, Buffer> &parameters, Model *model);
   static Status ExportModel(const Model &model, ModelType model_type, Buffer *model_data);
-  static Status ExportModel(const Model &model, ModelType model_type, const std::string &model_file,
+  inline static Status ExportModel(const Model &model, ModelType model_type, const std::string &model_file,
-                            QuantizationType quantization_type = kNoQuant, bool export_inference_only = true,
+                                   QuantizationType quantization_type = kNoQuant, bool export_inference_only = true,
-                            std::vector<std::string> output_tensor_name = {});
+                                   std::vector<std::string> output_tensor_name = {});
 
  private:
   static Status Load(const void *model_data, size_t data_size, ModelType model_type, Graph *graph, const Key &dec_key,
@@ -80,6 +80,9 @@ class MS_API Serialization {
                      const std::vector<char> &dec_mode);
   static Status Load(const std::vector<std::vector<char>> &files, ModelType model_type, std::vector<Graph> *graphs,
                      const Key &dec_key, const std::vector<char> &dec_mode);
+  static Status ExportModel(const Model &model, ModelType model_type, const std::vector<char> &model_file,
+                            QuantizationType quantization_type, bool export_inference_only,
+                            const std::vector<std::vector<char>> &output_tensor_name);
 };
 
 Status Serialization::Load(const void *model_data, size_t data_size, ModelType model_type, Graph *graph,
@@ -96,5 +99,13 @@ Status Serialization::Load(const std::vector<std::string> &files, ModelType mode
                            const Key &dec_key, const std::string &dec_mode) {
   return Load(VectorStringToChar(files), model_type, graphs, dec_key, StringToChar(dec_mode));
 }
+
+Status Serialization::ExportModel(const Model &model, ModelType model_type, const std::string &model_file,
+                                  QuantizationType quantization_type, bool export_inference_only,
+                                  std::vector<std::string> output_tensor_name) {
+  return ExportModel(model, model_type, StringToChar(model_file), quantization_type, export_inference_only,
+                     VectorStringToChar(output_tensor_name));
+}
+
 }  // namespace mindspore
 #endif  // MINDSPORE_INCLUDE_API_SERIALIZATION_H

include/api/types.h

@@ -221,7 +221,7 @@ class MS_API MSTensor {
   /// \brief Set the name for the MSTensor. Only valid for Lite.
   ///
   /// \param[in] The name of the MSTensor.
-  void SetTensorName(const std::string &name);
+  inline void SetTensorName(const std::string &name);
 
   /// \brief Set the Allocator for the MSTensor. Only valid for Lite.
   ///
@@ -275,6 +275,7 @@ class MS_API MSTensor {
   MSTensor(const std::vector<char> &name, enum DataType type, const std::vector<int64_t> &shape, const void *data,
            size_t data_len);
   std::vector<char> CharName() const;
+  void SetTensorName(const std::vector<char> &name);
 
   friend class ModelImpl;
   std::shared_ptr<Impl> impl_;
@@ -333,6 +334,10 @@ MSTensor::MSTensor(const std::string &name, enum DataType type, const std::vecto
 
 std::string MSTensor::Name() const { return CharToString(CharName()); }
 
+void MSTensor::SetTensorName(const std::string &name) {
+  return SetTensorName(StringToChar(name));
+}
+
 using Key = struct Key {
   const size_t max_key_len = 32;
   size_t len;

mindspore/ccsrc/cxx_api/model/model.cc

@@ -66,13 +66,13 @@ Status Model::Build(GraphCell graph_cell, const std::shared_ptr<Context> &model_
 }
 
 Status Model::Build(const void *, size_t, ModelType, const std::shared_ptr<Context> &, const Key &,
-                    const std::string &) {
+                    const std::vector<char> &) {
   MS_LOG(ERROR) << "Unsupported Feature.";
   return kMCFailed;
 }
 
-Status Model::Build(const std::string &, ModelType, const std::shared_ptr<Context> &, const Key &,
+Status Model::Build(const std::vector<char> &, ModelType, const std::shared_ptr<Context> &, const Key &,
-                    const std::string &) {
+                    const std::vector<char> &) {
   MS_LOG(ERROR) << "Unsupported Feature.";
   return kMCFailed;
 }

mindspore/ccsrc/cxx_api/serialization.cc

@@ -340,8 +340,8 @@ Status Serialization::ExportModel(const Model &, ModelType, Buffer *) {
   return kMEFailed;
 }
 
-Status Serialization::ExportModel(const Model &, ModelType, const std::string &, QuantizationType, bool,
+Status Serialization::ExportModel(const Model &, ModelType, const std::vector<char> &, QuantizationType, bool,
-                                  std::vector<std::string> output_tensor_name) {
+                                  const std::vector<std::vector<char>> &output_tensor_name) {
   MS_LOG(ERROR) << "Unsupported feature.";
   return kMEFailed;
 }

mindspore/ccsrc/cxx_api/types.cc

@@ -429,7 +429,7 @@ void MSTensor::SetShape(const std::vector<int64_t> &) { MS_LOG_EXCEPTION << "Inv
 
 void MSTensor::SetDataType(enum DataType) { MS_LOG_EXCEPTION << "Invalid implement."; }
 
-void MSTensor::SetTensorName(const std::string &) { MS_LOG_EXCEPTION << "Invalid implement."; }
+void MSTensor::SetTensorName(const std::vector<char> &) { MS_LOG_EXCEPTION << "Invalid implement."; }
 
 void MSTensor::SetAllocator(std::shared_ptr<Allocator>) { MS_LOG_EXCEPTION << "Invalid implement."; }
 

mindspore/lite/include/registry/node_parser_registry.h

@@ -18,7 +18,9 @@
 #define MINDSPORE_LITE_INCLUDE_REGISTRY_NODE_PARSER_REGISTRY_H_
 
 #include <string>
+#include <vector>
 #include "include/registry/node_parser.h"
+#include "include/api/dual_abi_helper.h"
 
 namespace mindspore {
 namespace registry {
@@ -30,8 +32,8 @@ class MS_API NodeParserRegistry {
   /// \param[in] fmk_type Define the framework.
   /// \param[in] node_type Define the type of the node to be resolved.
   /// \param[in] node_parser Define the NodeParser instance to parse the node.
-  NodeParserRegistry(converter::FmkType fmk_type, const std::string &node_type,
+  inline NodeParserRegistry(converter::FmkType fmk_type, const std::string &node_type,
-                     const converter::NodeParserPtr &node_parser);
+                            const converter::NodeParserPtr &node_parser);
 
   /// \brief Destructor
   ~NodeParserRegistry() = default;
@@ -42,9 +44,22 @@ class MS_API NodeParserRegistry {
   /// \param[in] node_type Define the type of the node to be resolved.
   ///
   /// \return NodeParser instance.
-  static converter::NodeParserPtr GetNodeParser(converter::FmkType fmk_type, const std::string &node_type);
+  inline static converter::NodeParserPtr GetNodeParser(converter::FmkType fmk_type, const std::string &node_type);
+
+ private:
+  NodeParserRegistry(converter::FmkType fmk_type, const std::vector<char> &node_type,
+                     const converter::NodeParserPtr &node_parser);
+  static converter::NodeParserPtr GetNodeParser(converter::FmkType fmk_type, const std::vector<char> &node_type);
 };
 
+NodeParserRegistry::NodeParserRegistry(converter::FmkType fmk_type, const std::string &node_type,
+                                       const converter::NodeParserPtr &node_parser)
+    : NodeParserRegistry(fmk_type, StringToChar(node_type), node_parser) {}
+
+converter::NodeParserPtr NodeParserRegistry::GetNodeParser(converter::FmkType fmk_type, const std::string &node_type) {
+  return GetNodeParser(fmk_type, StringToChar(node_type));
+}
+
 /// \brief Defined registering macro to register NodeParser instance.
 ///
 /// \param[in] fmk_type Define the framework.

mindspore/lite/include/registry/opencl_runtime_wrapper.h

@@ -16,6 +16,7 @@
 
 #ifndef MINDSPORE_LITE_INCLUDE_REGISTRY_OPENCL_RUNTIME_WRAPPER_H
 #define MINDSPORE_LITE_INCLUDE_REGISTRY_OPENCL_RUNTIME_WRAPPER_H
+
 #include <vector>
 #include <map>
 #include <memory>
@@ -26,6 +27,7 @@
 #include "CL/cl2.hpp"
 #include "include/api/allocator.h"
 #include "include/api/status.h"
+#include "include/api/dual_abi_helper.h"
 
 namespace mindspore::registry::opencl {
 class OpenCLRuntimeWrapper {
@@ -39,7 +41,7 @@ class OpenCLRuntimeWrapper {
   /// \param[in] source Define OpenCl source.
   ///
   /// \return Status as a status identification of loading code.
-  Status LoadSource(const std::string &program_name, const std::string &source);
+  inline Status LoadSource(const std::string &program_name, const std::string &source);
 
   /// \brief Building OpenCL code.
   ///
@@ -49,8 +51,8 @@ class OpenCLRuntimeWrapper {
   /// \param[in] build_options_ext Define OpenCl kernel build options.
   ///
   /// \return Status as a status identification of build Kernel
-  Status BuildKernel(cl::Kernel *kernel, const std::string &program_name, const std::string &kernel_name,
+  inline Status BuildKernel(cl::Kernel *kernel, const std::string &program_name, const std::string &kernel_name,
-                     const std::vector<std::string> &build_options_ext = {});
+                            const std::vector<std::string> &build_options_ext = {});
 
   /// \brief Set kernel argument
   ///
@@ -114,6 +116,23 @@ class OpenCLRuntimeWrapper {
   uint64_t GetMaxImage2DHeight();
 
   uint64_t GetImagePitchAlignment();
+
+ private:
+  Status LoadSource(const std::vector<char> &program_name, const std::vector<char> &source);
+
+  Status BuildKernel(cl::Kernel *kernel, const std::vector<char> &program_name, const std::vector<char> &kernel_name,
+                     const std::vector<std::vector<char>> &build_options_ext);
 };
+
+Status OpenCLRuntimeWrapper::LoadSource(const std::string &program_name, const std::string &source) {
+  return LoadSource(StringToChar(program_name), StringToChar(source));
+}
+
+Status OpenCLRuntimeWrapper::BuildKernel(cl::Kernel *kernel, const std::string &program_name,
+                                         const std::string &kernel_name,
+                                         const std::vector<std::string> &build_options_ext) {
+  return BuildKernel(kernel, StringToChar(program_name), StringToChar(kernel_name),
+                     VectorStringToChar(build_options_ext));
+}
 }  // namespace mindspore::registry::opencl
 #endif  // MINDSPORE_LITE_INCLUDE_REGISTRY_OPENCL_RUNTIME_WRAPPER_H

mindspore/lite/include/registry/pass_registry.h

@@ -21,6 +21,7 @@
 #include <string>
 #include <memory>
 #include "include/lite_utils.h"
+#include "include/api/dual_abi_helper.h"
 
 namespace mindspore {
 namespace registry {
@@ -36,13 +37,13 @@ class MS_API PassRegistry {
   ///
   /// \param[in] pass_name Define the name of the pass, a string which should guarantee uniqueness.
   /// \param[in] pass Define pass instance.
-  PassRegistry(const std::string &pass_name, const PassBasePtr &pass);
+  inline PassRegistry(const std::string &pass_name, const PassBasePtr &pass);
 
   /// \brief Constructor of PassRegistry to assign which passes are required for external extension.
   ///
   /// \param[in] position Define the place where assigned passes will run.
   /// \param[in] names Define the names of the passes.
-  PassRegistry(PassPosition position, const std::vector<std::string> &names);
+  inline PassRegistry(PassPosition position, const std::vector<std::string> &names);
 
   /// \brief Destructor of PassRegistrar.
   ~PassRegistry() = default;
@@ -52,16 +53,35 @@ class MS_API PassRegistry {
   /// \param[in] position Define the place where assigned passes will run.
   ///
   /// \return Passes' Name Vector.
-  static std::vector<std::string> GetOuterScheduleTask(PassPosition position);
+  inline static std::vector<std::string> GetOuterScheduleTask(PassPosition position);
 
   /// \brief Static method to obtain pass instance according to passes' name.
   ///
   /// \param[in] pass_names Define the name of pass.
   ///
   /// \return Pass Instance Vector.
-  static PassBasePtr GetPassFromStoreRoom(const std::string &pass_name);
+  inline static PassBasePtr GetPassFromStoreRoom(const std::string &pass_name);
+
+ private:
+  PassRegistry(const std::vector<char> &pass_name, const PassBasePtr &pass);
+  PassRegistry(PassPosition position, const std::vector<std::vector<char>> &names);
+  static std::vector<std::vector<char>> GetOuterScheduleTaskInner(PassPosition position);
+  static PassBasePtr GetPassFromStoreRoom(const std::vector<char> &pass_name_char);
 };
 
+PassRegistry::PassRegistry(const std::string &pass_name, const PassBasePtr &pass)
+    : PassRegistry(StringToChar(pass_name), pass) {}
+
+PassRegistry::PassRegistry(PassPosition position, const std::vector<std::string> &names)
+    : PassRegistry(position, VectorStringToChar(names)) {}
+
+std::vector<std::string> PassRegistry::GetOuterScheduleTask(PassPosition position) {
+  return VectorCharToString(GetOuterScheduleTaskInner(position));
+}
+
+PassBasePtr PassRegistry::GetPassFromStoreRoom(const std::string &pass_name) {
+  return GetPassFromStoreRoom(StringToChar(pass_name));
+}
 /// \brief Defined registering macro to register Pass, which called by user directly.
 ///
 /// \param[in] name Define the name of the pass, a string which should guarantee uniqueness.

mindspore/lite/include/registry/register_kernel.h

@@ -38,6 +38,14 @@ struct KernelDesc {
   std::string provider; /**< user identification argument */
 };
 
+/// \brief KernelDesc defined kernel's basic attribute.
+struct KernelDescHelper {
+  DataType data_type;         /**< kernel data type argument */
+  int type;                   /**< op type argument */
+  std::vector<char> arch;     /**< deviceType argument */
+  std::vector<char> provider; /**< user identification argument */
+};
+
 /// \brief CreateKernel Defined a functor to create a kernel.
 ///
 /// \param[in] inputs Define input tensors of kernel.
@@ -62,8 +70,8 @@ class MS_API RegisterKernel {
   /// \param[in] creator Define a function pointer to create a kernel.
   ///
   /// \return Status as a status identification of registering.
-  static Status RegKernel(const std::string &arch, const std::string &provider, DataType data_type, int type,
+  inline static Status RegKernel(const std::string &arch, const std::string &provider, DataType data_type, int type,
-                          CreateKernel creator);
+                                 CreateKernel creator);
 
   /// \brief Static method to register kernel which is corresponding to custom op.
   ///
@@ -74,8 +82,8 @@ class MS_API RegisterKernel {
   /// \param[in] creator Define a function pointer to create a kernel.
   ///
   /// \return Status as a status identification of registering.
-  static Status RegCustomKernel(const std::string &arch, const std::string &provider, DataType data_type,
+  inline static Status RegCustomKernel(const std::string &arch, const std::string &provider, DataType data_type,
-                                const std::string &type, CreateKernel creator);
+                                       const std::string &type, CreateKernel creator);
 
   /// \brief Static methon to get a kernel's create function.
   ///
@@ -83,7 +91,14 @@ class MS_API RegisterKernel {
   /// \param[in] primitive Define the primitive of kernel generated by flatbuffers.
   ///
   /// \return Function pointer to create a kernel.
-  static CreateKernel GetCreator(const schema::Primitive *primitive, KernelDesc *desc);
+  inline static CreateKernel GetCreator(const schema::Primitive *primitive, KernelDesc *desc);
+
+ private:
+  static Status RegKernel(const std::vector<char> &arch, const std::vector<char> &provider, DataType data_type,
+                          int type, CreateKernel creator);
+  static Status RegCustomKernel(const std::vector<char> &arch, const std::vector<char> &provider, DataType data_type,
+                                const std::vector<char> &type, CreateKernel creator);
+  static CreateKernel GetCreator(const schema::Primitive *primitive, KernelDescHelper *desc);
 };
 
 /// \brief KernelReg Defined registration class of kernel.
@@ -117,6 +132,24 @@ class MS_API KernelReg {
   }
 };
 
+Status RegisterKernel::RegKernel(const std::string &arch, const std::string &provider, DataType data_type, int type,
+                                 CreateKernel creator) {
+  return RegKernel(StringToChar(arch), StringToChar(provider), data_type, type, creator);
+}
+
+Status RegisterKernel::RegCustomKernel(const std::string &arch, const std::string &provider, DataType data_type,
+                                       const std::string &type, CreateKernel creator) {
+  return RegCustomKernel(StringToChar(arch), StringToChar(provider), data_type, StringToChar(type), creator);
+}
+
+CreateKernel RegisterKernel::GetCreator(const schema::Primitive *primitive, KernelDesc *desc) {
+  if (desc == nullptr) {
+    return nullptr;
+  }
+  KernelDescHelper kernel_desc = {desc->data_type, desc->type, StringToChar(desc->arch), StringToChar(desc->provider)};
+  return GetCreator(primitive, &kernel_desc);
+}
+
 /// \brief Defined registering macro to register ordinary op kernel, which called by user directly.
 ///
 /// \param[in] arch Define deviceType, such as CPU.

mindspore/lite/include/registry/register_kernel_interface.h

@@ -39,7 +39,8 @@ class MS_API RegisterKernelInterface {
   /// \param[in] creator Define the KernelInterface create function.
   ///
   /// \return Status as a status identification of registering.
-  static Status CustomReg(const std::string &provider, const std::string &op_type, KernelInterfaceCreator creator);
+  inline static Status CustomReg(const std::string &provider, const std::string &op_type,
+                                 KernelInterfaceCreator creator);
 
   /// \brief Static method to register op whose primitive type is ordinary.
   ///
@@ -48,7 +49,7 @@ class MS_API RegisterKernelInterface {
   /// \param[in] creator Define the KernelInterface create function.
   ///
   /// \return Status as a status identification of registering.
-  static Status Reg(const std::string &provider, int op_type, KernelInterfaceCreator creator);
+  inline static Status Reg(const std::string &provider, int op_type, KernelInterfaceCreator creator);
 
   /// \brief Static method to get registration of a certain op.
   ///
@@ -56,7 +57,14 @@ class MS_API RegisterKernelInterface {
   /// \param[in] primitive Define the attributes of a certain op.
   ///
   /// \return Boolean value to represent registration of a certain op is existing or not.
-  static std::shared_ptr<kernel::KernelInterface> GetKernelInterface(const std::string &provider,
+  inline static std::shared_ptr<kernel::KernelInterface> GetKernelInterface(const std::string &provider,
+                                                                            const schema::Primitive *primitive);
+
+ private:
+  static Status CustomReg(const std::vector<char> &provider, const std::vector<char> &op_type,
+                          KernelInterfaceCreator creator);
+  static Status Reg(const std::vector<char> &provider, int op_type, KernelInterfaceCreator creator);
+  static std::shared_ptr<kernel::KernelInterface> GetKernelInterface(const std::vector<char> &provider,
                                                                      const schema::Primitive *primitive);
 };
 
@@ -82,6 +90,20 @@ class MS_API KernelInterfaceReg {
   }
 };
 
+Status RegisterKernelInterface::CustomReg(const std::string &provider, const std::string &op_type,
+                                          KernelInterfaceCreator creator) {
+  return CustomReg(StringToChar(provider), StringToChar(op_type), creator);
+}
+
+Status RegisterKernelInterface::Reg(const std::string &provider, int op_type, KernelInterfaceCreator creator) {
+  return Reg(StringToChar(provider), op_type, creator);
+}
+
+std::shared_ptr<kernel::KernelInterface> RegisterKernelInterface::GetKernelInterface(
+  const std::string &provider, const schema::Primitive *primitive) {
+  return GetKernelInterface(StringToChar(provider), primitive);
+}
+
 /// \brief Defined registering macro to register ordinary op, which called by user directly.
 ///
 /// \param[in] provider Define the identification of user.

mindspore/lite/src/cxx_api/callback/ckpt_saver.cc

@@ -23,8 +23,9 @@
 #include "src/common/log_adapter.h"
 
 namespace mindspore {
-CkptSaver::CkptSaver(int save_every_n, const std::string &filename_prefix) {
+CkptSaver::CkptSaver(int save_every_n, const std::vector<char> &filename_prefix) {
-  callback_impl_ = new (std::nothrow) CallbackImpl(new (std::nothrow) lite::CkptSaver(save_every_n, filename_prefix));
+  callback_impl_ =
+    new (std::nothrow) CallbackImpl(new (std::nothrow) lite::CkptSaver(save_every_n, CharToString(filename_prefix)));
   if (callback_impl_ == nullptr) {
     MS_LOG(ERROR) << "Callback implement new failed";
   }

mindspore/lite/src/cxx_api/model/model.cc

@@ -29,7 +29,8 @@ namespace mindspore {
 std::mutex g_impl_init_lock;
 
 Status Model::Build(const void *model_data, size_t data_size, ModelType model_type,
-                    const std::shared_ptr<Context> &model_context, const Key &dec_key, const std::string &dec_mode) {
+                    const std::shared_ptr<Context> &model_context, const Key &dec_key,
+                    const std::vector<char> &dec_mode) {
   if (impl_ == nullptr) {
     std::unique_lock<std::mutex> impl_lock(g_impl_init_lock);
     impl_ = std::shared_ptr<ModelImpl>(new (std::nothrow) ModelImpl());
@@ -46,8 +47,9 @@ Status Model::Build(const void *model_data, size_t data_size, ModelType model_ty
   return kSuccess;
 }
 
-Status Model::Build(const std::string &model_path, ModelType model_type, const std::shared_ptr<Context> &model_context,
+Status Model::Build(const std::vector<char> &model_path, ModelType model_type,
-                    const Key &dec_key, const std::string &dec_mode) {
+                    const std::shared_ptr<Context> &model_context, const Key &dec_key,
+                    const std::vector<char> &dec_mode) {
   if (impl_ == nullptr) {
     std::unique_lock<std::mutex> impl_lock(g_impl_init_lock);
     impl_ = std::shared_ptr<ModelImpl>(new (std::nothrow) ModelImpl());
@@ -57,7 +59,7 @@ Status Model::Build(const std::string &model_path, ModelType model_type, const s
     }
   }
 
-  Status ret = impl_->Build(model_path, model_type, model_context);
+  Status ret = impl_->Build(CharToString(model_path), model_type, model_context);
   if (ret != kSuccess) {
     return ret;
   }
@@ -186,7 +188,7 @@ std::vector<MSTensor> Model::GetOutputsByNodeName(const std::vector<char> &node_
   return impl_->GetOutputsByNodeName(CharToString(node_name));
 }
 
-Status Model::LoadConfig(const std::string &config_path) {
+Status Model::LoadConfig(const std::vector<char> &config_path) {
   std::unique_lock<std::mutex> impl_lock(g_impl_init_lock);
   if (impl_ != nullptr) {
     MS_LOG(ERROR) << "impl_ illegal in LoadConfig.";
@@ -199,7 +201,7 @@ Status Model::LoadConfig(const std::string &config_path) {
     return Status(kLiteFileError, "Fail to load config file.");
   }
 
-  auto ret = impl_->LoadConfig(config_path);
+  auto ret = impl_->LoadConfig(CharToString(config_path));
   if (ret != kSuccess) {
     MS_LOG(ERROR) << "impl_ LoadConfig failed,";
     return Status(kLiteFileError, "Invalid config file.");

mindspore/lite/src/cxx_api/serialization.cc

@@ -122,9 +122,9 @@ Status Serialization::ExportModel(const Model &model, ModelType model_type, Buff
   return kMEFailed;
 }
 
-Status Serialization::ExportModel(const Model &model, ModelType model_type, const std::string &model_file,
+Status Serialization::ExportModel(const Model &model, ModelType model_type, const std::vector<char> &model_file,
                                   QuantizationType quantization_type, bool export_inference_only,
-                                  std::vector<std::string> output_tensor_name) {
+                                  const std::vector<std::vector<char>> &output_tensor_name) {
   if (model.impl_ == nullptr) {
     MS_LOG(ERROR) << "Model implement is null.";
     return kLiteUninitializedObj;
@@ -141,8 +141,9 @@ Status Serialization::ExportModel(const Model &model, ModelType model_type, cons
     MS_LOG(ERROR) << "Model session is nullptr.";
     return kLiteError;
   }
-  auto ret = model.impl_->session_->Export(model_file, export_inference_only ? lite::MT_INFERENCE : lite::MT_TRAIN,
+  auto ret = model.impl_->session_->Export(
-                                           A2L_ConvertQT(quantization_type), lite::FT_FLATBUFFERS, output_tensor_name);
+    CharToString(model_file), export_inference_only ? lite::MT_INFERENCE : lite::MT_TRAIN,
+    A2L_ConvertQT(quantization_type), lite::FT_FLATBUFFERS, VectorCharToString(output_tensor_name));
 
   return (ret == mindspore::lite::RET_OK) ? kSuccess : kLiteError;
 }

mindspore/lite/src/cxx_api/types.cc

@@ -302,12 +302,12 @@ void MSTensor::SetDataType(enum DataType data_type) {
   impl_->SetDataType(data_type);
 }
 
-void MSTensor::SetTensorName(const std::string &name) {
+void MSTensor::SetTensorName(const std::vector<char> &name) {
   if (impl_ == nullptr) {
     MS_LOG(ERROR) << "Invalid tensor implement.";
     return;
   }
-  impl_->SetName(name);
+  impl_->SetName(CharToString(name));
 }
 
 void MSTensor::SetAllocator(std::shared_ptr<Allocator> allocator) {

mindspore/lite/src/registry/register_kernel.cc

@@ -22,29 +22,35 @@
 
 namespace mindspore {
 namespace registry {
-Status RegisterKernel::RegCustomKernel(const std::string &arch, const std::string &provider, DataType data_type,
+Status RegisterKernel::RegCustomKernel(const std::vector<char> &arch, const std::vector<char> &provider,
-                                       const std::string &type, CreateKernel creator) {
+                                       DataType data_type, const std::vector<char> &type, CreateKernel creator) {
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
-  return RegistryKernelImpl::GetInstance()->RegCustomKernel(arch, provider, data_type, type, creator);
+  return RegistryKernelImpl::GetInstance()->RegCustomKernel(CharToString(arch), CharToString(provider), data_type,
+                                                            CharToString(type), creator);
 #else
   MS_LOG(ERROR) << unsupport_custom_kernel_register_log;
   return kLiteNotSupport;
 #endif
 }
 
-Status RegisterKernel::RegKernel(const std::string &arch, const std::string &provider, DataType data_type, int op_type,
+Status RegisterKernel::RegKernel(const std::vector<char> &arch, const std::vector<char> &provider, DataType data_type,
-                                 CreateKernel creator) {
+                                 int op_type, CreateKernel creator) {
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
-  return RegistryKernelImpl::GetInstance()->RegKernel(arch, provider, data_type, op_type, creator);
+  return RegistryKernelImpl::GetInstance()->RegKernel(CharToString(arch), CharToString(provider), data_type, op_type,
+                                                      creator);
 #else
   MS_LOG(ERROR) << unsupport_custom_kernel_register_log;
   return kLiteNotSupport;
 #endif
 }
 
-CreateKernel RegisterKernel::GetCreator(const schema::Primitive *primitive, KernelDesc *desc) {
+CreateKernel RegisterKernel::GetCreator(const schema::Primitive *primitive, KernelDescHelper *desc) {
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
-  return RegistryKernelImpl::GetInstance()->GetProviderCreator(primitive, desc);
+  if (desc == nullptr) {
+    return nullptr;
+  }
+  KernelDesc kernel_desc = {desc->data_type, desc->type, CharToString(desc->arch), CharToString(desc->provider)};
+  return RegistryKernelImpl::GetInstance()->GetProviderCreator(primitive, &kernel_desc);
 #else
   MS_LOG(ERROR) << unsupport_custom_kernel_register_log;
   return nullptr;

mindspore/lite/src/registry/register_kernel_interface.cc

@@ -22,19 +22,19 @@
 
 namespace mindspore {
 namespace registry {
-Status RegisterKernelInterface::Reg(const std::string &provider, int op_type, KernelInterfaceCreator creator) {
+Status RegisterKernelInterface::Reg(const std::vector<char> &provider, int op_type, KernelInterfaceCreator creator) {
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
-  return KernelInterfaceRegistry::Instance()->Reg(provider, op_type, creator);
+  return KernelInterfaceRegistry::Instance()->Reg(CharToString(provider), op_type, creator);
 #else
   MS_LOG(ERROR) << unsupport_custom_kernel_register_log;
   return kLiteNotSupport;
 #endif
 }
 
-Status RegisterKernelInterface::CustomReg(const std::string &provider, const std::string &op_type,
+Status RegisterKernelInterface::CustomReg(const std::vector<char> &provider, const std::vector<char> &op_type,
                                           KernelInterfaceCreator creator) {
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
-  return KernelInterfaceRegistry::Instance()->CustomReg(provider, op_type, creator);
+  return KernelInterfaceRegistry::Instance()->CustomReg(CharToString(provider), CharToString(op_type), creator);
 #else
   MS_LOG(ERROR) << unsupport_custom_kernel_register_log;
   return kLiteNotSupport;
@@ -42,9 +42,9 @@ Status RegisterKernelInterface::CustomReg(const std::string &provider, const std
 }
 
 std::shared_ptr<kernel::KernelInterface> RegisterKernelInterface::GetKernelInterface(
-  const std::string &provider, const schema::Primitive *primitive) {
+  const std::vector<char> &provider, const schema::Primitive *primitive) {
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
-  return KernelInterfaceRegistry::Instance()->GetKernelInterface(provider, primitive);
+  return KernelInterfaceRegistry::Instance()->GetKernelInterface(CharToString(provider), primitive);
 #else
   MS_LOG(ERROR) << unsupport_custom_kernel_register_log;
   return nullptr;

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

@@ -31,24 +31,25 @@
 using mindspore::kernel::CLErrorCode;
 
 namespace mindspore::registry::opencl {
-Status OpenCLRuntimeWrapper::LoadSource(const std::string &program_name, const std::string &source) {
+Status OpenCLRuntimeWrapper::LoadSource(const std::vector<char> &program_name, const std::vector<char> &source) {
   lite::opencl::OpenCLRuntimeInnerWrapper ocl_runtime_wrap;
   lite::opencl::OpenCLRuntime *ocl_runtime = ocl_runtime_wrap.GetInstance();
-  const std::string program_name_ext = "provider_" + program_name;
+  const std::string program_name_ext = "provider_" + CharToString(program_name);
-  if (ocl_runtime->LoadSource(program_name_ext, source)) {
+  if (ocl_runtime->LoadSource(program_name_ext, CharToString(source))) {
     return kSuccess;
   } else {
     return kLiteError;
   }
 }
 
-Status OpenCLRuntimeWrapper::BuildKernel(cl::Kernel *kernel, const std::string &program_name,
+Status OpenCLRuntimeWrapper::BuildKernel(cl::Kernel *kernel, const std::vector<char> &program_name,
-                                         const std::string &kernel_name,
+                                         const std::vector<char> &kernel_name,
-                                         const std::vector<std::string> &build_options_ext) {
+                                         const std::vector<std::vector<char>> &build_options_ext) {
   lite::opencl::OpenCLRuntimeInnerWrapper ocl_runtime_wrap;
   lite::opencl::OpenCLRuntime *ocl_runtime = ocl_runtime_wrap.GetInstance();
-  const std::string program_name_ext = "provider_" + program_name;
+  const std::string program_name_ext = "provider_" + CharToString(program_name);
-  if (ocl_runtime->BuildKernel(*kernel, program_name_ext, kernel_name, build_options_ext, false) == RET_OK) {
+  if (ocl_runtime->BuildKernel(*kernel, program_name_ext, CharToString(kernel_name),
+                               VectorCharToString(build_options_ext), false) == RET_OK) {
     return kSuccess;
   } else {
     return kLiteError;

mindspore/lite/test/ut/src/registry/registry_gpu_custom_op_test.cc

@@ -285,7 +285,7 @@ class CustomAddKernel : public kernel::Kernel {
       return lite::RET_OK;
     }
     auto status =
-      registry::RegisterKernelInterface::GetKernelInterface({}, primitive_)->Infer(&inputs_, &outputs_, primitive_);
+      registry::RegisterKernelInterface::GetKernelInterface("", primitive_)->Infer(&inputs_, &outputs_, primitive_);
     if (status != kSuccess) {
       std::cerr << "infer failed." << std::endl;
       return lite::RET_ERROR;

mindspore/lite/tools/converter/registry/node_parser_registry.cc

@@ -25,13 +25,15 @@ namespace {
 std::map<converter::FmkType, std::map<std::string, converter::NodeParserPtr>> node_parser_room;
 std::mutex node_mutex;
 }  // namespace
-NodeParserRegistry::NodeParserRegistry(converter::FmkType fmk_type, const std::string &node_type,
+NodeParserRegistry::NodeParserRegistry(converter::FmkType fmk_type, const std::vector<char> &node_type,
                                        const converter::NodeParserPtr &node_parser) {
   std::unique_lock<std::mutex> lock(node_mutex);
-  node_parser_room[fmk_type][node_type] = node_parser;
+  std::string node_type_str = CharToString(node_type);
+  node_parser_room[fmk_type][node_type_str] = node_parser;
 }
 
-converter::NodeParserPtr NodeParserRegistry::GetNodeParser(converter::FmkType fmk_type, const std::string &node_type) {
+converter::NodeParserPtr NodeParserRegistry::GetNodeParser(converter::FmkType fmk_type,
+                                                           const std::vector<char> &node_type) {
   auto iter_level1 = node_parser_room.find(fmk_type);
   if (iter_level1 == node_parser_room.end()) {
     return nullptr;
@@ -39,7 +41,7 @@ converter::NodeParserPtr NodeParserRegistry::GetNodeParser(converter::FmkType fm
   if (node_type.empty()) {
     return nullptr;
   }
-  auto iter_level2 = iter_level1->second.find(node_type);
+  auto iter_level2 = iter_level1->second.find(CharToString(node_type));
   if (iter_level2 == iter_level1->second.end()) {
     return nullptr;
   }

mindspore/lite/tools/converter/registry/pass_registry.cc

@@ -37,18 +37,21 @@ void RegPass(const std::string &pass_name, const PassBasePtr &pass) {
 }
 }  // namespace
 
-PassRegistry::PassRegistry(const std::string &pass_name, const PassBasePtr &pass) { RegPass(pass_name, pass); }
+PassRegistry::PassRegistry(const std::vector<char> &pass_name, const PassBasePtr &pass) {
+  RegPass(CharToString(pass_name), pass);
+}
 
-PassRegistry::PassRegistry(PassPosition position, const std::vector<std::string> &names) {
+PassRegistry::PassRegistry(PassPosition position, const std::vector<std::vector<char>> &names) {
   std::unique_lock<std::mutex> lock(pass_mutex);
-  external_assigned_passes[position] = names;
+  external_assigned_passes[position] = VectorCharToString(names);
 }
 
-std::vector<std::string> PassRegistry::GetOuterScheduleTask(PassPosition position) {
+std::vector<std::vector<char>> PassRegistry::GetOuterScheduleTaskInner(PassPosition position) {
-  return external_assigned_passes[position];
+  return VectorStringToChar(external_assigned_passes[position]);
 }
 
-PassBasePtr PassRegistry::GetPassFromStoreRoom(const std::string &pass_name) {
+PassBasePtr PassRegistry::GetPassFromStoreRoom(const std::vector<char> &pass_name_char) {
+  std::string pass_name = CharToString(pass_name_char);
   return outer_pass_storage.find(pass_name) == outer_pass_storage.end() ? nullptr : outer_pass_storage[pass_name];
 }
 }  // namespace registry