From 504f2158001e9a13662929536624f6835e168b9f Mon Sep 17 00:00:00 2001
From: zhoufeng <zhoufeng54@huawei.com>
Date: Fri, 19 Feb 2021 17:09:40 +0800
Subject: [PATCH] api support dual abi

Signed-off-by: zhoufeng <zhoufeng54@huawei.com>
---
 include/api/context.h                         | 100 ++++++++++++---
 include/api/dual_abi_helper.h                 |  26 ++++
 include/api/graph.h                           |   1 -
 include/api/model.h                           |   9 +-
 include/api/serialization.h                   |  10 +-
 include/api/status.h                          |  69 ++++++----
 include/api/types.h                           |  40 +++++-
 mindspore/ccsrc/cxx_api/context.cc            | 119 ++++++++++++-----
 mindspore/ccsrc/cxx_api/model/model.cc        |   7 +-
 mindspore/ccsrc/cxx_api/serialization.cc      |   9 +-
 mindspore/ccsrc/cxx_api/types.cc              |  20 +--
 .../ccsrc/minddata/dataset/CMakeLists.txt     |   3 +-
 .../ccsrc/minddata/dataset/include/tensor.h   |   3 +
 mindspore/core/utils/status.cc                | 120 +++++++++++++++---
 mindspore/lite/src/cxx_api/model/model.cc     |   2 +-
 mindspore/lite/src/cxx_api/serialization.cc   |   2 +-
 mindspore/lite/src/cxx_api/types.cc           |  19 ++-
 tests/ut/cpp/cxx_api/context_test.cc          |   6 -
 18 files changed, 425 insertions(+), 140 deletions(-)
 create mode 100644 include/api/dual_abi_helper.h

diff --git a/include/api/context.h b/include/api/context.h
index b1b39b91b0..90dfa408d6 100644
--- a/include/api/context.h
+++ b/include/api/context.h
@@ -16,11 +16,11 @@
 #ifndef MINDSPORE_INCLUDE_API_CONTEXT_H
 #define MINDSPORE_INCLUDE_API_CONTEXT_H
 
-#include <map>
-#include <any>
 #include <string>
 #include <memory>
+#include <vector>
 #include "include/api/types.h"
+#include "include/api/dual_abi_helper.h"
 
 namespace mindspore {
 constexpr auto kDeviceTypeAscend310 = "Ascend310";
@@ -28,38 +28,108 @@ constexpr auto kDeviceTypeAscend910 = "Ascend910";
 constexpr auto kDeviceTypeGPU = "GPU";
 
 struct MS_API Context {
+ public:
+  Context();
   virtual ~Context() = default;
-  std::map<std::string, std::any> params;
+  struct Data;
+  std::shared_ptr<Data> data;
 };
 
 struct MS_API GlobalContext : public Context {
+ public:
   static std::shared_ptr<Context> GetGlobalContext();
 
-  static void SetGlobalDeviceTarget(const std::string &device_target);
-  static std::string GetGlobalDeviceTarget();
+  static inline void SetGlobalDeviceTarget(const std::string &device_target);
+  static inline std::string GetGlobalDeviceTarget();
 
   static void SetGlobalDeviceID(const uint32_t &device_id);
   static uint32_t GetGlobalDeviceID();
+
+ private:
+  // api without std::string
+  static void SetGlobalDeviceTarget(const std::vector<char> &device_target);
+  static std::vector<char> GetGlobalDeviceTargetChar();
 };
 
 struct MS_API ModelContext : public Context {
-  static void SetInsertOpConfigPath(const std::shared_ptr<Context> &context, const std::string &cfg_path);
-  static std::string GetInsertOpConfigPath(const std::shared_ptr<Context> &context);
+ public:
+  static inline void SetInsertOpConfigPath(const std::shared_ptr<Context> &context, const std::string &cfg_path);
+  static inline std::string GetInsertOpConfigPath(const std::shared_ptr<Context> &context);
 
-  static void SetInputFormat(const std::shared_ptr<Context> &context, const std::string &format);
-  static std::string GetInputFormat(const std::shared_ptr<Context> &context);
+  static inline void SetInputFormat(const std::shared_ptr<Context> &context, const std::string &format);
+  static inline std::string GetInputFormat(const std::shared_ptr<Context> &context);
 
-  static void SetInputShape(const std::shared_ptr<Context> &context, const std::string &shape);
-  static std::string GetInputShape(const std::shared_ptr<Context> &context);
+  static inline void SetInputShape(const std::shared_ptr<Context> &context, const std::string &shape);
+  static inline std::string GetInputShape(const std::shared_ptr<Context> &context);
 
   static void SetOutputType(const std::shared_ptr<Context> &context, enum DataType output_type);
   static enum DataType GetOutputType(const std::shared_ptr<Context> &context);
 
-  static void SetPrecisionMode(const std::shared_ptr<Context> &context, const std::string &precision_mode);
-  static std::string GetPrecisionMode(const std::shared_ptr<Context> &context);
+  static inline void SetPrecisionMode(const std::shared_ptr<Context> &context, const std::string &precision_mode);
+  static inline std::string GetPrecisionMode(const std::shared_ptr<Context> &context);
+
+  static inline void SetOpSelectImplMode(const std::shared_ptr<Context> &context,
+                                         const std::string &op_select_impl_mode);
+  static inline std::string GetOpSelectImplMode(const std::shared_ptr<Context> &context);
+
+ private:
+  // api without std::string
+  static void SetInsertOpConfigPath(const std::shared_ptr<Context> &context, const std::vector<char> &cfg_path);
+  static std::vector<char> GetInsertOpConfigPathChar(const std::shared_ptr<Context> &context);
+
+  static void SetInputFormat(const std::shared_ptr<Context> &context, const std::vector<char> &format);
+  static std::vector<char> GetInputFormatChar(const std::shared_ptr<Context> &context);
+
+  static void SetInputShape(const std::shared_ptr<Context> &context, const std::vector<char> &shape);
+  static std::vector<char> GetInputShapeChar(const std::shared_ptr<Context> &context);
+
+  static void SetPrecisionMode(const std::shared_ptr<Context> &context, const std::vector<char> &precision_mode);
+  static std::vector<char> GetPrecisionModeChar(const std::shared_ptr<Context> &context);
 
-  static void SetOpSelectImplMode(const std::shared_ptr<Context> &context, const std::string &op_select_impl_mode);
-  static std::string GetOpSelectImplMode(const std::shared_ptr<Context> &context);
+  static void SetOpSelectImplMode(const std::shared_ptr<Context> &context,
+                                  const std::vector<char> &op_select_impl_mode);
+  static std::vector<char> GetOpSelectImplModeChar(const std::shared_ptr<Context> &context);
 };
+
+void GlobalContext::SetGlobalDeviceTarget(const std::string &device_target) {
+  SetGlobalDeviceTarget(StringToChar(device_target));
+}
+std::string GlobalContext::GetGlobalDeviceTarget() { return CharToString(GetGlobalDeviceTargetChar()); }
+
+void ModelContext::SetInsertOpConfigPath(const std::shared_ptr<Context> &context, const std::string &cfg_path) {
+  SetInsertOpConfigPath(context, StringToChar(cfg_path));
+}
+std::string ModelContext::GetInsertOpConfigPath(const std::shared_ptr<Context> &context) {
+  return CharToString(GetInsertOpConfigPathChar(context));
+}
+
+void ModelContext::SetInputFormat(const std::shared_ptr<Context> &context, const std::string &format) {
+  SetInputFormat(context, StringToChar(format));
+}
+std::string ModelContext::GetInputFormat(const std::shared_ptr<Context> &context) {
+  return CharToString(GetInputFormatChar(context));
+}
+
+void ModelContext::SetInputShape(const std::shared_ptr<Context> &context, const std::string &shape) {
+  SetInputShape(context, StringToChar(shape));
+}
+std::string ModelContext::GetInputShape(const std::shared_ptr<Context> &context) {
+  return CharToString(GetInputShapeChar(context));
+}
+
+void ModelContext::SetPrecisionMode(const std::shared_ptr<Context> &context, const std::string &precision_mode) {
+  SetPrecisionMode(context, StringToChar(precision_mode));
+}
+std::string ModelContext::GetPrecisionMode(const std::shared_ptr<Context> &context) {
+  return CharToString(GetPrecisionModeChar(context));
+}
+
+void ModelContext::SetOpSelectImplMode(const std::shared_ptr<Context> &context,
+                                       const std::string &op_select_impl_mode) {
+  SetOpSelectImplMode(context, StringToChar(op_select_impl_mode));
+}
+std::string ModelContext::GetOpSelectImplMode(const std::shared_ptr<Context> &context) {
+  return CharToString(GetOpSelectImplModeChar(context));
+}
 }  // namespace mindspore
 #endif  // MINDSPORE_INCLUDE_API_CONTEXT_H
diff --git a/include/api/dual_abi_helper.h b/include/api/dual_abi_helper.h
new file mode 100644
index 0000000000..6bf9c6eec8
--- /dev/null
+++ b/include/api/dual_abi_helper.h
@@ -0,0 +1,26 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#ifndef MINDSPORE_INCLUDE_API_DUAL_ABI_HELPER_H_
+#define MINDSPORE_INCLUDE_API_DUAL_ABI_HELPER_H_
+
+#include <string>
+#include <vector>
+
+namespace mindspore {
+inline std::vector<char> StringToChar(const std::string &s) { return std::vector<char>(s.begin(), s.end()); }
+inline std::string CharToString(const std::vector<char> &c) { return std::string(c.begin(), c.end()); }
+}  // namespace mindspore
+#endif  // MINDSPORE_INCLUDE_API_DUAL_ABI_HELPER_H_
diff --git a/include/api/graph.h b/include/api/graph.h
index a9288eb5a1..892f60495a 100644
--- a/include/api/graph.h
+++ b/include/api/graph.h
@@ -17,7 +17,6 @@
 #define MINDSPORE_INCLUDE_API_GRAPH_H
 
 #include <cstddef>
-#include <string>
 #include <vector>
 #include <map>
 #include <memory>
diff --git a/include/api/model.h b/include/api/model.h
index 8d401085eb..78f202fae2 100644
--- a/include/api/model.h
+++ b/include/api/model.h
@@ -25,6 +25,7 @@
 #include "include/api/types.h"
 #include "include/api/graph.h"
 #include "include/api/cell.h"
+#include "include/api/dual_abi_helper.h"
 
 namespace mindspore {
 class ModelImpl;
@@ -46,10 +47,16 @@ class MS_API Model {
   std::vector<MSTensor> GetInputs();
   std::vector<MSTensor> GetOutputs();
 
-  static bool CheckModelSupport(const std::string &device_type, ModelType model_type);
+  static inline bool CheckModelSupport(const std::string &device_type, ModelType model_type);
 
  private:
+  // api without std::string
+  static bool CheckModelSupport(const std::vector<char> &device_type, ModelType model_type);
   std::shared_ptr<ModelImpl> impl_;
 };
+
+bool Model::CheckModelSupport(const std::string &device_type, ModelType model_type) {
+  return CheckModelSupport(StringToChar(device_type), model_type);
+}
 }  // namespace mindspore
 #endif  // MINDSPORE_INCLUDE_API_MODEL_H
diff --git a/include/api/serialization.h b/include/api/serialization.h
index 2c34b826d3..c5fb61eb07 100644
--- a/include/api/serialization.h
+++ b/include/api/serialization.h
@@ -24,16 +24,24 @@
 #include "include/api/types.h"
 #include "include/api/model.h"
 #include "include/api/graph.h"
+#include "include/api/dual_abi_helper.h"
 
 namespace mindspore {
 class MS_API Serialization {
  public:
   static Graph LoadModel(const void *model_data, size_t data_size, ModelType model_type);
-  static Graph LoadModel(const std::string &file, ModelType model_type);
+  inline static Graph LoadModel(const std::string &file, ModelType model_type);
   static Status LoadCheckPoint(const std::string &ckpt_file, std::map<std::string, Buffer> *parameters);
   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);
+
+ private:
+  static Graph LoadModel(const std::vector<char> &file, ModelType model_type);
 };
+
+Graph Serialization::LoadModel(const std::string &file, ModelType model_type) {
+  return LoadModel(StringToChar(file), model_type);
+}
 }  // namespace mindspore
 #endif  // MINDSPORE_INCLUDE_API_SERIALIZATION_H
diff --git a/include/api/status.h b/include/api/status.h
index 131a15372c..3a5c7c4e01 100644
--- a/include/api/status.h
+++ b/include/api/status.h
@@ -16,9 +16,13 @@
 #ifndef MINDSPORE_INCLUDE_API_STATUS_H
 #define MINDSPORE_INCLUDE_API_STATUS_H
 
+#include <memory>
 #include <string>
+#include <vector>
 #include <ostream>
 #include <climits>
+#include "include/api/dual_abi_helper.h"
+#include "include/api/types.h"
 
 namespace mindspore {
 enum CompCode : uint32_t {
@@ -100,46 +104,61 @@ enum StatusCode : uint32_t {
   kLiteInputParamInvalid = kLite | (0x0FFFFFFF & -600), /**< Invalid input param by user. */
 };
 
-class Status {
+class MS_API Status {
  public:
-  Status() : status_code_(kSuccess), line_of_code_(-1) {}
-  Status(enum StatusCode status_code, const std::string &status_msg = "")  // NOLINT(runtime/explicit)
-      : status_code_(status_code), status_msg_(status_msg), line_of_code_(-1) {}
-  Status(const StatusCode code, int line_of_code, const char *file_name, const std::string &extra = "");
+  Status();
+  inline Status(enum StatusCode status_code, const std::string &status_msg = "");  // NOLINT(runtime/explicit)
+  inline Status(const StatusCode code, int line_of_code, const char *file_name, const std::string &extra = "");
 
   ~Status() = default;
 
-  enum StatusCode StatusCode() const { return status_code_; }
-  const std::string &ToString() const { return status_msg_; }
+  enum StatusCode StatusCode() const;
+  inline std::string ToString() const;
 
-  int GetLineOfCode() const { return line_of_code_; }
-  const std::string &GetErrDescription() const { return status_msg_; }
-  const std::string &SetErrDescription(const std::string &err_description);
+  int GetLineOfCode() const;
+  inline std::string GetErrDescription() const;
+  inline std::string SetErrDescription(const std::string &err_description);
 
   friend std::ostream &operator<<(std::ostream &os, const Status &s);
 
-  bool operator==(const Status &other) const { return status_code_ == other.status_code_; }
-  bool operator==(enum StatusCode other_code) const { return status_code_ == other_code; }
-  bool operator!=(const Status &other) const { return status_code_ != other.status_code_; }
-  bool operator!=(enum StatusCode other_code) const { return status_code_ != other_code; }
+  bool operator==(const Status &other) const;
+  bool operator==(enum StatusCode other_code) const;
+  bool operator!=(const Status &other) const;
+  bool operator!=(enum StatusCode other_code) const;
 
-  explicit operator bool() const { return (status_code_ == kSuccess); }
-  explicit operator int() const { return static_cast<int>(status_code_); }
+  explicit operator bool() const;
+  explicit operator int() const;
 
-  static Status OK() { return Status(StatusCode::kSuccess); }
+  static Status OK();
 
-  bool IsOk() const { return (StatusCode() == StatusCode::kSuccess); }
+  bool IsOk() const;
 
-  bool IsError() const { return !IsOk(); }
+  bool IsError() const;
 
-  static std::string CodeAsString(enum StatusCode c);
+  static inline std::string CodeAsString(enum StatusCode c);
 
  private:
-  enum StatusCode status_code_;
-  std::string status_msg_;
-  int line_of_code_;
-  std::string file_name_;
-  std::string err_description_;
+  // api without std::string
+  explicit Status(enum StatusCode status_code, const std::vector<char> &status_msg);
+  Status(const enum StatusCode code, int line_of_code, const char *file_name, const std::vector<char> &extra);
+  std::vector<char> ToCString() const;
+  std::vector<char> GetErrDescriptionChar() const;
+  std::vector<char> SetErrDescription(const std::vector<char> &err_description);
+  static std::vector<char> CodeAsCString(enum StatusCode c);
+
+  struct Data;
+  std::shared_ptr<Data> data_;
 };
+
+Status::Status(enum StatusCode status_code, const std::string &status_msg)
+    : Status(status_code, StringToChar(status_msg)) {}
+Status::Status(const enum StatusCode code, int line_of_code, const char *file_name, const std::string &extra)
+    : Status(code, line_of_code, file_name, StringToChar(extra)) {}
+std::string Status::ToString() const { return CharToString(ToCString()); }
+std::string Status::GetErrDescription() const { return CharToString(GetErrDescriptionChar()); }
+std::string Status::SetErrDescription(const std::string &err_description) {
+  return CharToString(SetErrDescription(StringToChar(err_description)));
+}
+std::string Status::CodeAsString(enum StatusCode c) { return CharToString(CodeAsCString(c)); }
 }  // namespace mindspore
 #endif  // MINDSPORE_INCLUDE_API_STATUS_H
diff --git a/include/api/types.h b/include/api/types.h
index 0f4503e122..482159d8c0 100644
--- a/include/api/types.h
+++ b/include/api/types.h
@@ -21,6 +21,7 @@
 #include <vector>
 #include <memory>
 #include "include/api/data_type.h"
+#include "include/api/dual_abi_helper.h"
 
 #ifdef _WIN32
 #define MS_API __declspec(dllexport)
@@ -42,18 +43,18 @@ class MS_API MSTensor {
  public:
   class Impl;
 
-  static MSTensor CreateTensor(const std::string &name, DataType type, const std::vector<int64_t> &shape,
-                               const void *data, size_t data_len) noexcept;
-  static MSTensor CreateRefTensor(const std::string &name, DataType type, const std::vector<int64_t> &shape,
-                                  const void *data, size_t data_len) noexcept;
+  static inline MSTensor CreateTensor(const std::string &name, DataType type, const std::vector<int64_t> &shape,
+                                      const void *data, size_t data_len) noexcept;
+  static inline MSTensor CreateRefTensor(const std::string &name, DataType type, const std::vector<int64_t> &shape,
+                                         const void *data, size_t data_len) noexcept;
 
   MSTensor();
   explicit MSTensor(const std::shared_ptr<Impl> &impl);
-  MSTensor(const std::string &name, DataType type, const std::vector<int64_t> &shape, const void *data,
-           size_t data_len);
+  inline MSTensor(const std::string &name, DataType type, const std::vector<int64_t> &shape, const void *data,
+                  size_t data_len);
   ~MSTensor();
 
-  const std::string &Name() const;
+  inline std::string Name() const;
   enum DataType DataType() const;
   const std::vector<int64_t> &Shape() const;
   int64_t ElementNum() const;
@@ -68,6 +69,15 @@ class MS_API MSTensor {
   bool operator==(std::nullptr_t) const;
 
  private:
+  // api without std::string
+  static MSTensor CreateTensor(const std::vector<char> &name, enum DataType type, const std::vector<int64_t> &shape,
+                               const void *data, size_t data_len) noexcept;
+  static MSTensor CreateRefTensor(const std::vector<char> &name, enum DataType type, const std::vector<int64_t> &shape,
+                                  const void *data, size_t data_len) noexcept;
+  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;
+
   friend class ModelImpl;
   explicit MSTensor(std::nullptr_t);
   std::shared_ptr<Impl> impl_;
@@ -92,5 +102,21 @@ class MS_API Buffer {
   class Impl;
   std::shared_ptr<Impl> impl_;
 };
+
+MSTensor MSTensor::CreateTensor(const std::string &name, enum DataType type, const std::vector<int64_t> &shape,
+                                const void *data, size_t data_len) noexcept {
+  return CreateTensor(StringToChar(name), type, shape, data, data_len);
+}
+
+MSTensor MSTensor::CreateRefTensor(const std::string &name, enum DataType type, const std::vector<int64_t> &shape,
+                                   const void *data, size_t data_len) noexcept {
+  return CreateRefTensor(StringToChar(name), type, shape, data, data_len);
+}
+
+MSTensor::MSTensor(const std::string &name, enum DataType type, const std::vector<int64_t> &shape, const void *data,
+                   size_t data_len)
+    : MSTensor(StringToChar(name), type, shape, data, data_len) {}
+
+std::string MSTensor::Name() const { return CharToString(CharName()); }
 }  // namespace mindspore
 #endif  // MINDSPORE_INCLUDE_API_TYPES_H
diff --git a/mindspore/ccsrc/cxx_api/context.cc b/mindspore/ccsrc/cxx_api/context.cc
index a9ea4055a0..d9679639f9 100644
--- a/mindspore/ccsrc/cxx_api/context.cc
+++ b/mindspore/ccsrc/cxx_api/context.cc
@@ -14,6 +14,9 @@
  * limitations under the License.
  */
 #include "include/api/context.h"
+#include <any>
+#include <map>
+#include <type_traits>
 #include "utils/log_adapter.h"
 
 constexpr auto kGlobalContextDeviceTarget = "mindspore.ascend.globalcontext.device_target";
@@ -28,18 +31,28 @@ constexpr auto kModelOptionPrecisionMode = "mindspore.option.precision_mode";
 constexpr auto kModelOptionOpSelectImplMode = "mindspore.option.op_select_impl_mode";
 
 namespace mindspore {
-template <class T>
-static T GetValue(const std::shared_ptr<Context> &context, const std::string &key) {
-  auto iter = context->params.find(key);
-  if (iter == context->params.end()) {
-    return T();
+struct Context::Data {
+  std::map<std::string, std::any> params;
+};
+
+Context::Context() : data(std::make_shared<Data>()) {}
+
+template <class T, typename U = std::remove_cv_t<std::remove_reference_t<T>>>
+static const U &GetValue(const std::shared_ptr<Context> &context, const std::string &key) {
+  static U empty_result;
+  if (context == nullptr || context->data == nullptr) {
+    return empty_result;
+  }
+  auto iter = context->data->params.find(key);
+  if (iter == context->data->params.end()) {
+    return empty_result;
   }
   const std::any &value = iter->second;
-  if (value.type() != typeid(T)) {
-    return T();
+  if (value.type() != typeid(U)) {
+    return empty_result;
   }
 
-  return std::any_cast<T>(value);
+  return std::any_cast<const U &>(value);
 }
 
 std::shared_ptr<Context> GlobalContext::GetGlobalContext() {
@@ -47,22 +60,31 @@ std::shared_ptr<Context> GlobalContext::GetGlobalContext() {
   return g_context;
 }
 
-void GlobalContext::SetGlobalDeviceTarget(const std::string &device_target) {
+void GlobalContext::SetGlobalDeviceTarget(const std::vector<char> &device_target) {
   auto global_context = GetGlobalContext();
   MS_EXCEPTION_IF_NULL(global_context);
-  global_context->params[kGlobalContextDeviceTarget] = device_target;
+  if (global_context->data == nullptr) {
+    global_context->data = std::make_shared<Data>();
+    MS_EXCEPTION_IF_NULL(global_context->data);
+  }
+  global_context->data->params[kGlobalContextDeviceTarget] = CharToString(device_target);
 }
 
-std::string GlobalContext::GetGlobalDeviceTarget() {
+std::vector<char> GlobalContext::GetGlobalDeviceTargetChar() {
   auto global_context = GetGlobalContext();
   MS_EXCEPTION_IF_NULL(global_context);
-  return GetValue<std::string>(global_context, kGlobalContextDeviceTarget);
+  const std::string &ref = GetValue<std::string>(global_context, kGlobalContextDeviceTarget);
+  return StringToChar(ref);
 }
 
 void GlobalContext::SetGlobalDeviceID(const uint32_t &device_id) {
   auto global_context = GetGlobalContext();
   MS_EXCEPTION_IF_NULL(global_context);
-  global_context->params[kGlobalContextDeviceID] = device_id;
+  if (global_context->data == nullptr) {
+    global_context->data = std::make_shared<Data>();
+    MS_EXCEPTION_IF_NULL(global_context->data);
+  }
+  global_context->data->params[kGlobalContextDeviceID] = device_id;
 }
 
 uint32_t GlobalContext::GetGlobalDeviceID() {
@@ -71,39 +93,58 @@ uint32_t GlobalContext::GetGlobalDeviceID() {
   return GetValue<uint32_t>(global_context, kGlobalContextDeviceID);
 }
 
-void ModelContext::SetInsertOpConfigPath(const std::shared_ptr<Context> &context, const std::string &cfg_path) {
+void ModelContext::SetInsertOpConfigPath(const std::shared_ptr<Context> &context, const std::vector<char> &cfg_path) {
   MS_EXCEPTION_IF_NULL(context);
-  context->params[kModelOptionInsertOpCfgPath] = cfg_path;
+  if (context->data == nullptr) {
+    context->data = std::make_shared<Data>();
+    MS_EXCEPTION_IF_NULL(context->data);
+  }
+  context->data->params[kModelOptionInsertOpCfgPath] = CharToString(cfg_path);
 }
 
-std::string ModelContext::GetInsertOpConfigPath(const std::shared_ptr<Context> &context) {
+std::vector<char> ModelContext::GetInsertOpConfigPathChar(const std::shared_ptr<Context> &context) {
   MS_EXCEPTION_IF_NULL(context);
-  return GetValue<std::string>(context, kModelOptionInsertOpCfgPath);
+  const std::string &ref = GetValue<std::string>(context, kModelOptionInsertOpCfgPath);
+  return StringToChar(ref);
 }
 
-void ModelContext::SetInputFormat(const std::shared_ptr<Context> &context, const std::string &format) {
+void ModelContext::SetInputFormat(const std::shared_ptr<Context> &context, const std::vector<char> &format) {
   MS_EXCEPTION_IF_NULL(context);
-  context->params[kModelOptionInputFormat] = format;
+  if (context->data == nullptr) {
+    context->data = std::make_shared<Data>();
+    MS_EXCEPTION_IF_NULL(context->data);
+  }
+  context->data->params[kModelOptionInputFormat] = CharToString(format);
 }
 
-std::string ModelContext::GetInputFormat(const std::shared_ptr<Context> &context) {
+std::vector<char> ModelContext::GetInputFormatChar(const std::shared_ptr<Context> &context) {
   MS_EXCEPTION_IF_NULL(context);
-  return GetValue<std::string>(context, kModelOptionInputFormat);
+  const std::string &ref = GetValue<std::string>(context, kModelOptionInputFormat);
+  return StringToChar(ref);
 }
 
-void ModelContext::SetInputShape(const std::shared_ptr<Context> &context, const std::string &shape) {
+void ModelContext::SetInputShape(const std::shared_ptr<Context> &context, const std::vector<char> &shape) {
   MS_EXCEPTION_IF_NULL(context);
-  context->params[kModelOptionInputShape] = shape;
+  if (context->data == nullptr) {
+    context->data = std::make_shared<Data>();
+    MS_EXCEPTION_IF_NULL(context->data);
+  }
+  context->data->params[kModelOptionInputShape] = CharToString(shape);
 }
 
-std::string ModelContext::GetInputShape(const std::shared_ptr<Context> &context) {
+std::vector<char> ModelContext::GetInputShapeChar(const std::shared_ptr<Context> &context) {
   MS_EXCEPTION_IF_NULL(context);
-  return GetValue<std::string>(context, kModelOptionInputShape);
+  const std::string &ref = GetValue<std::string>(context, kModelOptionInputShape);
+  return StringToChar(ref);
 }
 
 void ModelContext::SetOutputType(const std::shared_ptr<Context> &context, enum DataType output_type) {
   MS_EXCEPTION_IF_NULL(context);
-  context->params[kModelOptionOutputType] = output_type;
+  if (context->data == nullptr) {
+    context->data = std::make_shared<Data>();
+    MS_EXCEPTION_IF_NULL(context->data);
+  }
+  context->data->params[kModelOptionOutputType] = output_type;
 }
 
 enum DataType ModelContext::GetOutputType(const std::shared_ptr<Context> &context) {
@@ -111,24 +152,34 @@ enum DataType ModelContext::GetOutputType(const std::shared_ptr<Context> &contex
   return GetValue<enum DataType>(context, kModelOptionOutputType);
 }
 
-void ModelContext::SetPrecisionMode(const std::shared_ptr<Context> &context, const std::string &precision_mode) {
+void ModelContext::SetPrecisionMode(const std::shared_ptr<Context> &context, const std::vector<char> &precision_mode) {
   MS_EXCEPTION_IF_NULL(context);
-  context->params[kModelOptionPrecisionMode] = precision_mode;
+  if (context->data == nullptr) {
+    context->data = std::make_shared<Data>();
+    MS_EXCEPTION_IF_NULL(context->data);
+  }
+  context->data->params[kModelOptionPrecisionMode] = CharToString(precision_mode);
 }
 
-std::string ModelContext::GetPrecisionMode(const std::shared_ptr<Context> &context) {
+std::vector<char> ModelContext::GetPrecisionModeChar(const std::shared_ptr<Context> &context) {
   MS_EXCEPTION_IF_NULL(context);
-  return GetValue<std::string>(context, kModelOptionPrecisionMode);
+  const std::string &ref = GetValue<std::string>(context, kModelOptionPrecisionMode);
+  return StringToChar(ref);
 }
 
 void ModelContext::SetOpSelectImplMode(const std::shared_ptr<Context> &context,
-                                       const std::string &op_select_impl_mode) {
+                                       const std::vector<char> &op_select_impl_mode) {
   MS_EXCEPTION_IF_NULL(context);
-  context->params[kModelOptionOpSelectImplMode] = op_select_impl_mode;
+  if (context->data == nullptr) {
+    context->data = std::make_shared<Data>();
+    MS_EXCEPTION_IF_NULL(context->data);
+  }
+  context->data->params[kModelOptionOpSelectImplMode] = CharToString(op_select_impl_mode);
 }
 
-std::string ModelContext::GetOpSelectImplMode(const std::shared_ptr<Context> &context) {
+std::vector<char> ModelContext::GetOpSelectImplModeChar(const std::shared_ptr<Context> &context) {
   MS_EXCEPTION_IF_NULL(context);
-  return GetValue<std::string>(context, kModelOptionOpSelectImplMode);
+  const std::string &ref = GetValue<std::string>(context, kModelOptionOpSelectImplMode);
+  return StringToChar(ref);
 }
 }  // namespace mindspore
diff --git a/mindspore/ccsrc/cxx_api/model/model.cc b/mindspore/ccsrc/cxx_api/model/model.cc
index a0b2237dc2..f50fd0c3dc 100644
--- a/mindspore/ccsrc/cxx_api/model/model.cc
+++ b/mindspore/ccsrc/cxx_api/model/model.cc
@@ -68,12 +68,13 @@ Model::Model(const std::vector<Output> &network, const std::shared_ptr<Context>
 
 Model::~Model() {}
 
-bool Model::CheckModelSupport(const std::string &device_type, ModelType model_type) {
-  if (!Factory<ModelImpl>::Instance().CheckModelSupport(device_type)) {
+bool Model::CheckModelSupport(const std::vector<char> &device_type, ModelType model_type) {
+  std::string device_type_str = CharToString(device_type);
+  if (!Factory<ModelImpl>::Instance().CheckModelSupport(device_type_str)) {
     return false;
   }
 
-  auto first_iter = kSupportedModelMap.find(device_type);
+  auto first_iter = kSupportedModelMap.find(device_type_str);
   if (first_iter == kSupportedModelMap.end()) {
     return false;
   }
diff --git a/mindspore/ccsrc/cxx_api/serialization.cc b/mindspore/ccsrc/cxx_api/serialization.cc
index ad41849d2e..331f6885e7 100644
--- a/mindspore/ccsrc/cxx_api/serialization.cc
+++ b/mindspore/ccsrc/cxx_api/serialization.cc
@@ -84,17 +84,18 @@ Graph Serialization::LoadModel(const void *model_data, size_t data_size, ModelTy
   MS_LOG(EXCEPTION) << "Unsupported ModelType " << model_type;
 }
 
-Graph Serialization::LoadModel(const std::string &file, ModelType model_type) {
+Graph Serialization::LoadModel(const std::vector<char> &file, ModelType model_type) {
+  std::string file_path = CharToString(file);
   if (model_type == kMindIR) {
-    FuncGraphPtr anf_graph = LoadMindIR(file);
+    FuncGraphPtr anf_graph = LoadMindIR(file_path);
     if (anf_graph == nullptr) {
       MS_LOG(EXCEPTION) << "Load model failed.";
     }
     return Graph(std::make_shared<Graph::GraphData>(anf_graph, kMindIR));
   } else if (model_type == kOM) {
-    Buffer data = ReadFile(file);
+    Buffer data = ReadFile(file_path);
     if (data.Data() == nullptr) {
-      MS_LOG(EXCEPTION) << "Read file " << file << " failed.";
+      MS_LOG(EXCEPTION) << "Read file " << file_path << " failed.";
     }
     return Graph(std::make_shared<Graph::GraphData>(data, kOM));
   }
diff --git a/mindspore/ccsrc/cxx_api/types.cc b/mindspore/ccsrc/cxx_api/types.cc
index 38ecf4dee1..a3872c09b1 100644
--- a/mindspore/ccsrc/cxx_api/types.cc
+++ b/mindspore/ccsrc/cxx_api/types.cc
@@ -134,10 +134,11 @@ class TensorReferenceImpl : public MSTensor::Impl {
   std::vector<int64_t> shape_;
 };
 
-MSTensor MSTensor::CreateTensor(const std::string &name, enum DataType type, const std::vector<int64_t> &shape,
+MSTensor MSTensor::CreateTensor(const std::vector<char> &name, enum DataType type, const std::vector<int64_t> &shape,
                                 const void *data, size_t data_len) noexcept {
+  std::string name_str = CharToString(name);
   try {
-    std::shared_ptr<Impl> impl = std::make_shared<TensorDefaultImpl>(name, type, shape, data, data_len);
+    std::shared_ptr<Impl> impl = std::make_shared<TensorDefaultImpl>(name_str, type, shape, data, data_len);
     return MSTensor(impl);
   } catch (const std::bad_alloc &) {
     MS_LOG(ERROR) << "Malloc memory failed.";
@@ -148,10 +149,11 @@ MSTensor MSTensor::CreateTensor(const std::string &name, enum DataType type, con
   }
 }
 
-MSTensor MSTensor::CreateRefTensor(const std::string &name, enum DataType type, const std::vector<int64_t> &shape,
+MSTensor MSTensor::CreateRefTensor(const std::vector<char> &name, enum DataType type, const std::vector<int64_t> &shape,
                                    const void *data, size_t data_len) noexcept {
+  std::string name_str = CharToString(name);
   try {
-    std::shared_ptr<Impl> impl = std::make_shared<TensorReferenceImpl>(name, type, shape, data, data_len);
+    std::shared_ptr<Impl> impl = std::make_shared<TensorReferenceImpl>(name_str, type, shape, data, data_len);
     return MSTensor(impl);
   } catch (const std::bad_alloc &) {
     MS_LOG(ERROR) << "Malloc memory failed.";
@@ -165,9 +167,9 @@ MSTensor MSTensor::CreateRefTensor(const std::string &name, enum DataType type,
 MSTensor::MSTensor() : impl_(std::make_shared<TensorDefaultImpl>()) {}
 MSTensor::MSTensor(std::nullptr_t) : impl_(nullptr) {}
 MSTensor::MSTensor(const std::shared_ptr<Impl> &impl) : impl_(impl) { MS_EXCEPTION_IF_NULL(impl); }
-MSTensor::MSTensor(const std::string &name, enum DataType type, const std::vector<int64_t> &shape, const void *data,
-                   size_t data_len)
-    : impl_(std::make_shared<TensorDefaultImpl>(name, type, shape, data, data_len)) {}
+MSTensor::MSTensor(const std::vector<char> &name, enum DataType type, const std::vector<int64_t> &shape,
+                   const void *data, size_t data_len)
+    : impl_(std::make_shared<TensorDefaultImpl>(CharToString(name), type, shape, data, data_len)) {}
 MSTensor::~MSTensor() = default;
 
 bool MSTensor::operator==(std::nullptr_t) const { return impl_ == nullptr; }
@@ -179,9 +181,9 @@ MSTensor MSTensor::Clone() const {
   return ret;
 }
 
-const std::string &MSTensor::Name() const {
+std::vector<char> MSTensor::CharName() const {
   MS_EXCEPTION_IF_NULL(impl_);
-  return impl_->Name();
+  return StringToChar(impl_->Name());
 }
 
 enum DataType MSTensor::DataType() const {
diff --git a/mindspore/ccsrc/minddata/dataset/CMakeLists.txt b/mindspore/ccsrc/minddata/dataset/CMakeLists.txt
index 51462e090e..21861b5ee3 100644
--- a/mindspore/ccsrc/minddata/dataset/CMakeLists.txt
+++ b/mindspore/ccsrc/minddata/dataset/CMakeLists.txt
@@ -296,8 +296,7 @@ else()
     endif()
 endif()
 
-add_dependencies(_c_dataengine mindspore_shared_lib)
-target_link_libraries(_c_dataengine PRIVATE mindspore_shared_lib)
+target_link_libraries(_c_dataengine PRIVATE mindspore_core mindspore_shared_lib)
 
 if(USE_GLOG)
     target_link_libraries(_c_dataengine PRIVATE mindspore::glog)
diff --git a/mindspore/ccsrc/minddata/dataset/include/tensor.h b/mindspore/ccsrc/minddata/dataset/include/tensor.h
index 03be78fe1c..b4f517330e 100644
--- a/mindspore/ccsrc/minddata/dataset/include/tensor.h
+++ b/mindspore/ccsrc/minddata/dataset/include/tensor.h
@@ -686,6 +686,9 @@ class Tensor {
   /// pointer to the end of the physical data
   unsigned char *data_end_ = nullptr;
 
+  /// shape for interpretation of YUV image
+  std::vector<uint32_t> yuv_shape_;
+
  private:
   friend class DETensor;
 
diff --git a/mindspore/core/utils/status.cc b/mindspore/core/utils/status.cc
index 8e7ec47eb2..43a386e343 100644
--- a/mindspore/core/utils/status.cc
+++ b/mindspore/core/utils/status.cc
@@ -24,16 +24,42 @@
 #include <sstream>
 
 namespace mindspore {
-Status::Status(enum StatusCode code, int line_of_code, const char *file_name, const std::string &extra) {
-  status_code_ = code;
-  line_of_code_ = line_of_code;
-  file_name_ = std::string(file_name);
-  err_description_ = extra;
+struct Status::Data {
+  enum StatusCode status_code = kSuccess;
+  std::string status_msg;
+  int line_of_code = -1;
+  std::string file_name;
+  std::string err_description;
+};
+
+Status::Status() : data_(std::make_shared<Data>()) {}
+
+Status::Status(enum StatusCode status_code, const std::vector<char> &status_msg) : data_(std::make_shared<Data>()) {
+  if (data_ == nullptr) {
+    return;
+  }
+
+  data_->status_msg = CharToString(status_msg);
+  data_->status_code = status_code;
+}
+
+Status::Status(enum StatusCode code, int line_of_code, const char *file_name, const std::vector<char> &extra)
+    : data_(std::make_shared<Data>()) {
+  if (data_ == nullptr) {
+    return;
+  }
+  data_->status_code = code;
+  data_->line_of_code = line_of_code;
+  if (file_name != nullptr) {
+    data_->file_name = file_name;
+  }
+  data_->err_description = CharToString(extra);
+
   std::ostringstream ss;
 #ifndef ENABLE_ANDROID
   ss << "Thread ID " << std::this_thread::get_id() << " " << CodeAsString(code) << ". ";
-  if (!extra.empty()) {
-    ss << extra;
+  if (!data_->err_description.empty()) {
+    ss << data_->err_description;
   }
   ss << "\n";
 #endif
@@ -42,10 +68,38 @@ Status::Status(enum StatusCode code, int line_of_code, const char *file_name, co
   if (file_name != nullptr) {
     ss << "File         : " << file_name << "\n";
   }
-  status_msg_ = ss.str();
+  data_->status_msg = ss.str();
+}
+
+enum StatusCode Status::StatusCode() const {
+  if (data_ == nullptr) {
+    return kSuccess;
+  }
+  return data_->status_code;
+}
+
+std::vector<char> Status::ToCString() const {
+  if (data_ == nullptr) {
+    return std::vector<char>();
+  }
+  return StringToChar(data_->status_msg);
 }
 
-std::string Status::CodeAsString(enum StatusCode c) {
+int Status::GetLineOfCode() const {
+  if (data_ == nullptr) {
+    return -1;
+  }
+  return data_->line_of_code;
+}
+
+std::vector<char> Status::GetErrDescriptionChar() const {
+  if (data_ == nullptr) {
+    return std::vector<char>();
+  }
+  return StringToChar(data_->status_msg);
+}
+
+std::vector<char> Status::CodeAsCString(enum StatusCode c) {
   static std::map<enum StatusCode, std::string> info_map = {{kSuccess, "No error occurs."},
                                                             // Core
                                                             {kCoreFailed, "Common error code."},
@@ -98,7 +152,7 @@ std::string Status::CodeAsString(enum StatusCode c) {
                                                             {kLiteInferInvalid, "Invalid infer shape before runtime."},
                                                             {kLiteInputParamInvalid, "Invalid input param by user."}};
   auto iter = info_map.find(c);
-  return iter == info_map.end() ? "Unknown error" : iter->second;
+  return StringToChar(iter == info_map.end() ? "Unknown error" : iter->second);
 }
 
 std::ostream &operator<<(std::ostream &os, const Status &s) {
@@ -106,22 +160,48 @@ std::ostream &operator<<(std::ostream &os, const Status &s) {
   return os;
 }
 
-const std::string &Status::SetErrDescription(const std::string &err_description) {
-  err_description_ = err_description;
+std::vector<char> Status::SetErrDescription(const std::vector<char> &err_description) {
+  if (data_ == nullptr) {
+    return std::vector<char>();
+  }
+  data_->err_description = CharToString(err_description);
   std::ostringstream ss;
 #ifndef ENABLE_ANDROID
-  ss << "Thread ID " << std::this_thread::get_id() << " " << CodeAsString(status_code_) << ". ";
-  if (!err_description_.empty()) {
-    ss << err_description_;
+  ss << "Thread ID " << std::this_thread::get_id() << " " << CodeAsString(data_->status_code) << ". ";
+  if (!data_->err_description.empty()) {
+    ss << data_->err_description;
   }
   ss << "\n";
 #endif
 
-  if (line_of_code_ > 0 && !file_name_.empty()) {
-    ss << "Line of code : " << line_of_code_ << "\n";
-    ss << "File         : " << file_name_ << "\n";
+  if (data_->line_of_code > 0 && !data_->file_name.empty()) {
+    ss << "Line of code : " << data_->line_of_code << "\n";
+    ss << "File         : " << data_->file_name << "\n";
+  }
+  data_->status_msg = ss.str();
+  return StringToChar(data_->status_msg);
+}
+
+bool Status::operator==(const Status &other) const {
+  if (data_ == nullptr && other.data_ == nullptr) {
+    return true;
+  }
+
+  if (data_ == nullptr || other.data_ == nullptr) {
+    return false;
   }
-  status_msg_ = ss.str();
-  return status_msg_;
+
+  return data_->status_code == other.data_->status_code;
 }
+
+bool Status::operator==(enum StatusCode other_code) const { return StatusCode() == other_code; }
+bool Status::operator!=(const Status &other) const { return !operator==(other); }
+bool Status::operator!=(enum StatusCode other_code) const { return !operator==(other_code); }
+
+Status::operator bool() const { return (StatusCode() == kSuccess); }
+Status::operator int() const { return static_cast<int>(StatusCode()); }
+
+Status Status::OK() { return StatusCode::kSuccess; }
+bool Status::IsOk() const { return (StatusCode() == StatusCode::kSuccess); }
+bool Status::IsError() const { return !IsOk(); }
 }  // namespace mindspore
diff --git a/mindspore/lite/src/cxx_api/model/model.cc b/mindspore/lite/src/cxx_api/model/model.cc
index f94aa367c6..b28a27e557 100644
--- a/mindspore/lite/src/cxx_api/model/model.cc
+++ b/mindspore/lite/src/cxx_api/model/model.cc
@@ -67,7 +67,7 @@ Model::Model(const std::vector<Output> &network, const std::shared_ptr<Context>
 
 Model::~Model() {}
 
-bool Model::CheckModelSupport(const std::string &device_type, ModelType) {
+bool Model::CheckModelSupport(const std::vector<char> &, ModelType) {
   MS_LOG(ERROR) << "Unsupported feature.";
   return false;
 }
diff --git a/mindspore/lite/src/cxx_api/serialization.cc b/mindspore/lite/src/cxx_api/serialization.cc
index 660cf107ac..ca47d0cc1c 100644
--- a/mindspore/lite/src/cxx_api/serialization.cc
+++ b/mindspore/lite/src/cxx_api/serialization.cc
@@ -47,7 +47,7 @@ Graph Serialization::LoadModel(const void *model_data, size_t data_size, ModelTy
   return graph;
 }
 
-Graph Serialization::LoadModel(const std::string &file, ModelType model_type) {
+Graph Serialization::LoadModel(const std::vector<char> &file, ModelType model_type) {
   MS_LOG(ERROR) << "Unsupported Feature.";
   return Graph(nullptr);
 }
diff --git a/mindspore/lite/src/cxx_api/types.cc b/mindspore/lite/src/cxx_api/types.cc
index 876780459b..12f987067a 100644
--- a/mindspore/lite/src/cxx_api/types.cc
+++ b/mindspore/lite/src/cxx_api/types.cc
@@ -60,16 +60,16 @@ class Buffer::Impl {
 MSTensor::MSTensor() : impl_(std::make_shared<Impl>()) {}
 MSTensor::MSTensor(std::nullptr_t) : impl_(nullptr) {}
 MSTensor::MSTensor(const std::shared_ptr<Impl> &impl) : impl_(impl) {}
-MSTensor::MSTensor(const std::string &name, enum DataType type, const std::vector<int64_t> &shape, const void *data,
-                   size_t data_len)
-    : impl_(std::make_shared<Impl>(name, type, shape, data, data_len)) {}
+MSTensor::MSTensor(const std::vector<char> &name, enum DataType type, const std::vector<int64_t> &shape,
+                   const void *data, size_t data_len)
+    : impl_(std::make_shared<Impl>(CharToString(name), type, shape, data, data_len)) {}
 MSTensor::~MSTensor() = default;
 
 bool MSTensor::operator==(std::nullptr_t) const { return impl_ == nullptr; }
 
-MSTensor MSTensor::CreateTensor(const std::string &name, enum DataType type, const std::vector<int64_t> &shape,
+MSTensor MSTensor::CreateTensor(const std::vector<char> &name, enum DataType type, const std::vector<int64_t> &shape,
                                 const void *data, size_t data_len) noexcept {
-  auto impl = std::make_shared<Impl>(name, type, shape, data, data_len);
+  auto impl = std::make_shared<Impl>(CharToString(name), type, shape, data, data_len);
   if (impl == nullptr) {
     MS_LOG(ERROR) << "Allocate tensor impl failed.";
     return MSTensor(nullptr);
@@ -77,7 +77,7 @@ MSTensor MSTensor::CreateTensor(const std::string &name, enum DataType type, con
   return MSTensor(impl);
 }
 
-MSTensor MSTensor::CreateRefTensor(const std::string &name, enum DataType type, const std::vector<int64_t> &shape,
+MSTensor MSTensor::CreateRefTensor(const std::vector<char> &name, enum DataType type, const std::vector<int64_t> &shape,
                                    const void *data, size_t data_len) noexcept {
   auto tensor = CreateTensor(name, type, shape, data, data_len);
   if (tensor == nullptr) {
@@ -98,13 +98,12 @@ MSTensor MSTensor::Clone() const {
   return ret;
 }
 
-const std::string &MSTensor::Name() const {
-  static std::string empty = "";
+std::vector<char> MSTensor::CharName() const {
   if (impl_ == nullptr) {
     MS_LOG(ERROR) << "Invalid tensor inpmlement.";
-    return empty;
+    return std::vector<char>();
   }
-  return impl_->Name();
+  return StringToChar(impl_->Name());
 }
 
 int64_t MSTensor::ElementNum() const {
diff --git a/tests/ut/cpp/cxx_api/context_test.cc b/tests/ut/cpp/cxx_api/context_test.cc
index 8509f0457e..204a05dbd6 100644
--- a/tests/ut/cpp/cxx_api/context_test.cc
+++ b/tests/ut/cpp/cxx_api/context_test.cc
@@ -60,12 +60,6 @@ TEST_F(TestCxxApiContext, test_context_ascend310_context_nullptr_FAILED) {
   EXPECT_ANY_THROW(ModelContext::GetInsertOpConfigPath(nullptr));
 }
 
-TEST_F(TestCxxApiContext, test_context_ascend310_context_wrong_type_SUCCESS) {
-  auto ctx = std::make_shared<ModelContext>();
-  ctx->params["mindspore.option.op_select_impl_mode"] = 5;
-  ASSERT_EQ(ModelContext::GetOpSelectImplMode(ctx), "");
-}
-
 TEST_F(TestCxxApiContext, test_context_ascend310_context_default_value_SUCCESS) {
   auto ctx = std::make_shared<ModelContext>();
   ASSERT_EQ(ModelContext::GetOpSelectImplMode(ctx), "");