Provide new mindspore core API classes

1. namespace is mindspore::api;
2. API header files located in mindspore/core/mindapi;
3. We use pimpl pattern to provide a wrapper layer for api;
4. Check mindapi_test.cc for usage examples.

cmake/package_lite.cmake

@@ -221,6 +221,8 @@ if(PLATFORM_ARM64)
     endif()
     install(FILES ${TOP_DIR}/mindspore/core/ir/dtype/type_id.h DESTINATION ${RUNTIME_INC_DIR}/ir/dtype
             COMPONENT ${RUNTIME_COMPONENT_NAME})
+    install(FILES ${TOP_DIR}/mindspore/core/mindapi/base/type_id.h DESTINATION ${RUNTIME_INC_DIR}/mindapi/base
+            COMPONENT ${RUNTIME_COMPONENT_NAME})
     install(DIRECTORY ${TOP_DIR}/include/api/ DESTINATION ${RUNTIME_INC_DIR}/api
             COMPONENT ${RUNTIME_COMPONENT_NAME} FILES_MATCHING PATTERN "*.h" PATTERN "ops*" EXCLUDE)
     install(DIRECTORY ${TOP_DIR}/include/c_api/ DESTINATION ${RUNTIME_INC_DIR}/c_api
@@ -298,6 +300,8 @@ elseif(PLATFORM_ARM32)
     endif()
     install(FILES ${TOP_DIR}/mindspore/core/ir/dtype/type_id.h DESTINATION ${RUNTIME_INC_DIR}/ir/dtype
             COMPONENT ${RUNTIME_COMPONENT_NAME})
+    install(FILES ${TOP_DIR}/mindspore/core/mindapi/base/type_id.h DESTINATION ${RUNTIME_INC_DIR}/mindapi/base
+            COMPONENT ${RUNTIME_COMPONENT_NAME})
     install(DIRECTORY ${TOP_DIR}/include/api/ DESTINATION ${RUNTIME_INC_DIR}/api
             COMPONENT ${RUNTIME_COMPONENT_NAME} FILES_MATCHING PATTERN "*.h" PATTERN "ops*" EXCLUDE)
     install(DIRECTORY ${TOP_DIR}/include/c_api/ DESTINATION ${RUNTIME_INC_DIR}/c_api
@@ -365,6 +369,8 @@ elseif(WIN32)
             COMPONENT ${RUNTIME_COMPONENT_NAME})
     install(FILES ${TOP_DIR}/mindspore/core/ir/dtype/type_id.h DESTINATION ${RUNTIME_INC_DIR}/ir/dtype
             COMPONENT ${RUNTIME_COMPONENT_NAME})
+    install(FILES ${TOP_DIR}/mindspore/core/mindapi/base/type_id.h DESTINATION ${RUNTIME_INC_DIR}/mindapi/base
+            COMPONENT ${RUNTIME_COMPONENT_NAME})
     install(DIRECTORY ${TOP_DIR}/include/api/ DESTINATION ${RUNTIME_INC_DIR}/api
             COMPONENT ${RUNTIME_COMPONENT_NAME} FILES_MATCHING PATTERN "*.h" PATTERN "ops*" EXCLUDE)
     install(DIRECTORY ${TOP_DIR}/include/c_api/ DESTINATION ${RUNTIME_INC_DIR}/c_api
@@ -409,6 +415,8 @@ else()
             COMPONENT ${RUNTIME_COMPONENT_NAME})
     install(FILES ${TOP_DIR}/mindspore/core/ir/dtype/type_id.h DESTINATION ${RUNTIME_INC_DIR}/ir/dtype
             COMPONENT ${RUNTIME_COMPONENT_NAME})
+    install(FILES ${TOP_DIR}/mindspore/core/mindapi/base/type_id.h DESTINATION ${RUNTIME_INC_DIR}/mindapi/base
+            COMPONENT ${RUNTIME_COMPONENT_NAME})
     install(DIRECTORY ${TOP_DIR}/include/api/ DESTINATION ${RUNTIME_INC_DIR}/api
             COMPONENT ${RUNTIME_COMPONENT_NAME} FILES_MATCHING PATTERN "*.h" PATTERN "ops*" EXCLUDE)
     install(DIRECTORY ${TOP_DIR}/include/c_api/ DESTINATION ${RUNTIME_INC_DIR}/c_api
@@ -430,6 +438,10 @@ else()
                 PATTERN "train*" EXCLUDE PATTERN "delegate.h" EXCLUDE PATTERN "lite_session.h" EXCLUDE)
         install(FILES ${API_HEADER}  DESTINATION ${CONVERTER_ROOT_DIR}/include/api
                 COMPONENT ${RUNTIME_COMPONENT_NAME})
+        install(FILES ${MINDAPI_BASE_HEADER} DESTINATION ${CONVERTER_ROOT_DIR}/include/core/mindapi/base
+                COMPONENT ${RUNTIME_COMPONENT_NAME})
+        install(FILES ${MINDAPI_IR_HEADER} DESTINATION ${CONVERTER_ROOT_DIR}/include/core/mindapi/ir
+                COMPONENT ${RUNTIME_COMPONENT_NAME})
         install(FILES ${ABSTRACT_HEADER} DESTINATION ${CONVERTER_ROOT_DIR}/include/core/abstract
                 COMPONENT ${RUNTIME_COMPONENT_NAME})
         install(FILES ${API_IR_HEADER} DESTINATION ${CONVERTER_ROOT_DIR}/include/core/api/ir

mindspore/core/CMakeLists.txt

@@ -23,6 +23,7 @@ file(GLOB_RECURSE CORE_SRC_LIST RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}
   "ir/*.cc"
   "utils/*.cc"
   "load_mindir/*.cc"
+  "mindapi/src/*.cc"
   )
 
 if(ENABLE_SECURITY)

mindspore/core/api/ir/func_graph.h

@@ -24,8 +24,7 @@
 #include "utils/visible.h"
 #include "api/ir/func_graph_manager.h"
 
-namespace mindspore::api {
-
+namespace mindspore::deprecated::api {
 /// \brief FuncGraph defines interface for a function graph.
 class MS_CORE_API FuncGraph {
  public:
@@ -147,5 +146,12 @@ class MS_CORE_API FuncGraph {
   /// \return The function graph if the input is value node that holds the graph, nullptr otherwise.
   static FuncGraphPtr GetFuncGraphFromAnfNode(const AnfNodePtr &input);
 };
-}  // namespace mindspore::api
+
+#ifndef USE_DEPRECATED_API
+#define USE_DEPRECATED_API
+namespace mindspore {
+namespace api = deprecated::api;
+}
+#endif
+}  // namespace mindspore::deprecated::api
 #endif  // MINDSPORE_CORE_API_IR_FUNC_GRAPH_H_

mindspore/core/api/ir/func_graph_manager.h

@@ -26,8 +26,7 @@
 #include "utils/hashing.h"
 #include "ir/anf.h"
 
-namespace mindspore::api {
-
+namespace mindspore::deprecated::api {
 class FuncGraph;
 using FuncGraphPtr = std::shared_ptr<FuncGraph>;
 
@@ -80,7 +79,13 @@ class MS_CORE_API FuncGraphManager {
   /// \return The manager that manages the given function graph.
   static FuncGraphManagerPtr Manage(const FuncGraphPtr &func_graph, bool manage = true);
 };
-
-}  // namespace mindspore::api
+}  // namespace mindspore::deprecated::api
+
+#ifndef USE_DEPRECATED_API
+#define USE_DEPRECATED_API
+namespace mindspore {
+namespace api = deprecated::api;
+}
+#endif
 
 #endif  // MINDSPORE_CORE_API_IR_FUNC_GRAPH_MANAGER_H_

mindspore/core/gvar/log_adapter_common.cc

@@ -52,6 +52,7 @@ static const std::vector<std::string> sub_module_names = {
   "HCCL_ADPT",          // SM_HCCL_ADPT
   "RUNTIME_FRAMEWORK",  // SM_RUNTIME_FRAMEWORK
   "GE",                 // SM_GE
+  "API",                // SM_API
 };
 
 const std::string GetSubModuleName(SubModuleId module_id) { return sub_module_names[(module_id % NUM_SUBMODUES)]; }

mindspore/core/ir/dtype/type_id.h

@@ -1,7 +1,7 @@
 /**
  * This is the C++ adaptation and derivative work of Myia (https://github.com/mila-iqia/myia/).
  *
- * Copyright 2019-2020 Huawei Technologies Co., Ltd
+ * Copyright 2019-2021 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.
@@ -19,87 +19,6 @@
 #ifndef MINDSPORE_CORE_IR_DTYPE_TYPE_ID_H_
 #define MINDSPORE_CORE_IR_DTYPE_TYPE_ID_H_
 
-namespace mindspore {
-//
-// Supported meta type
-//
-enum TypeId : int {
-  kTypeUnknown = 0,
-  kMetaTypeBegin = kTypeUnknown,
-  kMetaTypeType,  // Type
-  kMetaTypeAnything,
-  kMetaTypeObject,
-  kMetaTypeTypeType,  // TypeType
-  kMetaTypeProblem,
-  kMetaTypeExternal,
-  kMetaTypeNone,
-  kMetaTypeNull,
-  kMetaTypeEllipsis,
-  kMetaTypeEnd,
-  //
-  // Object types
-  //
-  kObjectTypeBegin = kMetaTypeEnd,
-  kObjectTypeNumber,
-  kObjectTypeString,
-  kObjectTypeList,
-  kObjectTypeTuple,
-  kObjectTypeSlice,
-  kObjectTypeKeyword,
-  kObjectTypeTensorType,
-  kObjectTypeRowTensorType,
-  kObjectTypeSparseTensorType,
-  kObjectTypeUndeterminedType,
-  kObjectTypeClass,
-  kObjectTypeDictionary,
-  kObjectTypeFunction,
-  kObjectTypeJTagged,
-  kObjectTypeSymbolicKeyType,
-  kObjectTypeEnvType,
-  kObjectTypeRefKey,
-  kObjectTypeRef,
-  kObjectTypeEnd,
-  //
-  // Number Types
-  //
-  kNumberTypeBegin = kObjectTypeEnd,
-  kNumberTypeBool,
-  kNumberTypeInt,
-  kNumberTypeInt8,
-  kNumberTypeInt16,
-  kNumberTypeInt32,
-  kNumberTypeInt64,
-  kNumberTypeUInt,
-  kNumberTypeUInt8,
-  kNumberTypeUInt16,
-  kNumberTypeUInt32,
-  kNumberTypeUInt64,
-  kNumberTypeFloat,
-  kNumberTypeFloat16,
-  kNumberTypeFloat32,
-  kNumberTypeFloat64,
-  kNumberTypeComplex,
-  kNumberTypeComplex64,
-  kNumberTypeComplex128,
-  kNumberTypeInt4,
-  kNumberTypeGLUInt,
-  kNumberTypeEnd,
-  //
-  // Monad Types
-  //
-  kMonadTypeBegin = kNumberTypeEnd,
-  kObjectTypeMonad,
-  kObjectTypeUMonad,
-  kObjectTypeIOMonad,
-  kMonadTypeEnd,
-  //
-  // Sparse Types
-  //
-  // Sparse types is placed at the end of enum,
-  // in order to keep fit with the type of existing model on the lite side.
-  kSparseTypeBegin = kMonadTypeEnd,
-  kObjectTypeCSRTensorType,
-  kSparseTypeEnd
-};
-}  // namespace mindspore
+#include "mindapi/base/type_id.h"
+
 #endif  // MINDSPORE_CORE_IR_DTYPE_TYPE_ID_H_

mindspore/core/ir/func_graph.h

@@ -153,7 +153,7 @@ class FuncGraphBase : public Value {
   MS_DECLARE_PARENT(FuncGraphBase, Value);
 };
 
-class FuncGraph : public api::FuncGraph, public FuncGraphBase, public EffectInfoHolder {
+class FuncGraph : public deprecated::api::FuncGraph, public FuncGraphBase, public EffectInfoHolder {
  public:
   using Drawer = std::function<void(const std::string &, const FuncGraphPtr &)>;
 
@@ -265,7 +265,7 @@ class FuncGraph : public api::FuncGraph, public FuncGraphBase, public EffectInfo
   FuncGraphManagerPtr manager() const { return manager_.lock(); }
   void set_manager(const FuncGraphManagerPtr &m) { manager_ = std::weak_ptr<FuncGraphManager>(m); }
 
-  api::FuncGraphManagerPtr get_manager() const final { return manager_.lock(); }
+  deprecated::api::FuncGraphManagerPtr get_manager() const final { return manager_.lock(); }
 
   std::string ToString() const override;
   GraphDebugInfoPtr debug_info();

mindspore/core/ir/manager.h

@@ -55,9 +55,9 @@ class FuncGraphTransaction;
 class FuncGraphManager;
 using FuncGraphManagerPtr = std::shared_ptr<FuncGraphManager>;
 
-using AnfNodeIndexSet = api::AnfNodeIndexSet;
+using AnfNodeIndexSet = deprecated::api::AnfNodeIndexSet;
 // NodeUsersMap, for node B input i use node A, it will be one item in map with key: A, and value: (B, i)
-using NodeUsersMap = api::NodeUsersMap;
+using NodeUsersMap = deprecated::api::NodeUsersMap;
 using FuncGraphSetPair = std::pair<FuncGraphPtr, FuncGraphSet>;
 using FuncGraphSetPtr = std::shared_ptr<FuncGraphSet>;
 
@@ -277,7 +277,8 @@ class FuncGraphJTotalComputer final : public DepComputer {
   bool SeekJ(const FuncGraphPtr &fg, size_t seen_num);
 };
 
-class FuncGraphManager : public std::enable_shared_from_this<FuncGraphManager>, public api::FuncGraphManager {
+class FuncGraphManager : public std::enable_shared_from_this<FuncGraphManager>,
+                         public deprecated::api::FuncGraphManager {
  public:
   explicit FuncGraphManager(const std::vector<FuncGraphPtr> &roots, bool manage = true);
   ~FuncGraphManager() {

mindspore/core/mindapi/base/base.h

@@ -0,0 +1,89 @@
+/**
+ * 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_CORE_MINDAPI_BASE_BASE_H_
+#define MINDSPORE_CORE_MINDAPI_BASE_BASE_H_
+
+#include <cstdint>
+#include <string>
+#include <memory>
+#include "mindapi/base/macros.h"
+#include "mindapi/base/type_traits.h"
+#include "mindapi/base/shared_ptr.h"
+
+namespace mindspore {
+class Base;
+}
+
+namespace mindspore::api {
+/// \brief Base is the base class of many api classes, which provides basic interfaces.
+class MIND_API Base {
+ public:
+  /// \brief Create an instance from the given implementation object.
+  ///
+  /// \param[in] impl The shared_ptr to the implementation object.
+  explicit Base(const std::shared_ptr<mindspore::Base> &impl);
+
+  /// \brief Destructor of Base.
+  virtual ~Base() = default;
+
+  /// \brief Get the id of this class.
+  ///
+  /// \return The id of this class.
+  static uint32_t ClassId();
+
+  /// \brief Get the shared_ptr to the underly implementation object.
+  ///
+  /// \return The shared_ptr to the underly implementation object.
+  const std::shared_ptr<mindspore::Base> &impl() const { return impl_; }
+
+  /// \brief Get the string representation of this object.
+  ///
+  /// \return The string representation.
+  std::string ToString() const;
+
+  /// \brief Check whether this object is an instance of the given class.
+  ///
+  /// \return True if this object is an instance of the given class, false otherwise.
+  template <typename T, typename = typename std::enable_if_t<std::is_base_of_v<Base, T>, T>>
+  inline bool isa() const {
+    return IsFromClassId(T::ClassId());
+  }
+
+  /// \brief Cast this object to a pointer with the given pointer class.
+  ///
+  /// \return A non-null pointer if cast success, nullptr otherwise.
+  template <typename T, typename U = typename std::enable_if_t<is_wrapper_ptr<T>::value, typename T::element_type>>
+  inline T cast() {
+    if (isa<U>()) {
+      return MakeShared<U>(impl_);
+    }
+    return nullptr;
+  }
+
+ protected:
+  bool IsFromClassId(uint32_t class_id) const;
+  const std::shared_ptr<mindspore::Base> impl_;
+};
+
+#define MIND_API_BASE_MEMBER(current_class)                             \
+  explicit current_class(const std::shared_ptr<mindspore::Base> &impl); \
+  ~current_class() override = default;                                  \
+  static uint32_t ClassId()
+
+using BasePtr = SharedPtr<Base>;
+}  // namespace mindspore::api
+#endif  // MINDSPORE_CORE_MINDAPI_BASE_BASE_H_

mindspore/core/mindapi/base/logging.h

@@ -0,0 +1,104 @@
+/**
+ * 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_CORE_MINDAPI_BASE_LOGGING_H_
+#define MINDSPORE_CORE_MINDAPI_BASE_LOGGING_H_
+
+#include <cstdint>
+#include <memory>
+#include <sstream>
+#include <utility>
+#include "mindapi/base/macros.h"
+
+namespace mindspore::api {
+enum class LogLevel : uint8_t { DEBUG = 0, INFO, WARNING, ERROR, EXCEPTION };
+
+class LogWriterImpl;
+
+/// \brief LogStream represents a stream to write log messages.
+/// This class is not expected for directly use, use MS_LOG instead.
+class LogStream {
+ public:
+  /// \brief Write log message to this LogStream.
+  ///
+  /// \param[in] value The object to be written.
+  template <typename T>
+  LogStream &operator<<(T &&value) noexcept {
+    (void)stream_.operator<<(std::forward<T>(value));
+    return *this;
+  }
+
+ private:
+  friend class LogWriterImpl;
+  std::stringstream stream_;
+};
+
+/// \brief LogWriter defines interface for log message output.
+/// This class is not expected for directly use, use MS_LOG instead.
+class MIND_API LogWriter {
+ public:
+  /// \brief Create a LogWriter with the given log level, file name, line number and function name.
+  ///
+  /// \param[in] level The log level.
+  /// \param[in] file The file name.
+  /// \param[in] line The line number.
+  /// \param[in] func The function name.
+  LogWriter(LogLevel level, const char *file, int line, const char *func);
+
+  /// \brief Destructor for LogWriter.
+  ~LogWriter();
+
+  /// \brief Output log message from the input log stream.
+  ///
+  /// \param[in] stream The input log stream.
+  void operator<(const LogStream &stream) const noexcept;
+
+  /// \brief Output log message from the input log stream and then throw exception.
+  ///
+  /// \param[in] stream The input log stream.
+  void operator^(const LogStream &stream) const __attribute__((noreturn));
+
+  /// \brief Check whether the given log level is enabled or not.
+  ///
+  /// \return True if the log level is enabled, false otherwise.
+  static bool IsEnabled(LogLevel level);
+
+ private:
+  std::unique_ptr<LogWriterImpl> impl_;
+};
+
+#define MIND_LOG_STREAM mindspore::api::LogStream()
+#define MIND_LOG_WRITER mindspore::api::LogWriter
+#define MIND_LOG_LEVEL(L) mindspore::api::LogLevel::L
+
+#define MIND_LOG_THROW(L) MIND_LOG_WRITER(MIND_LOG_LEVEL(L), __FILE__, __LINE__, __FUNCTION__) ^ MIND_LOG_STREAM
+#define MIND_LOG_WRITE(L) MIND_LOG_WRITER(MIND_LOG_LEVEL(L), __FILE__, __LINE__, __FUNCTION__) < MIND_LOG_STREAM
+#define MIND_LOG_IF(L) \
+  if (MIND_LOG_WRITER::IsEnabled(MIND_LOG_LEVEL(L))) MIND_LOG_WRITE(L)
+
+#define MIND_LOG_DEBUG MIND_LOG_IF(DEBUG)
+#define MIND_LOG_INFO MIND_LOG_IF(INFO)
+#define MIND_LOG_WARNING MIND_LOG_IF(WARNING)
+#define MIND_LOG_ERROR MIND_LOG_IF(ERROR)
+#define MIND_LOG_EXCEPTION MIND_LOG_THROW(EXCEPTION)
+#define MIND_LOG(level) MIND_LOG_##level
+
+#if !defined(MIND_LOG_NO_MS_LOG) && !defined(MS_LOG)
+#define MS_LOG(level) MIND_LOG_##level
+#endif
+}  // namespace mindspore::api
+
+#endif  // MINDSPORE_CORE_MINDAPI_BASE_LOGGING_H_

mindspore/core/mindapi/base/macros.h

@@ -0,0 +1,30 @@
+/**
+ * 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_CORE_MINDAPI_BASE_MACROS_H_
+#define MINDSPORE_CORE_MINDAPI_BASE_MACROS_H_
+
+#if (defined(_WIN32) || defined(__WIN32__) || defined(WIN32) || defined(__CYGWIN__))
+#ifdef BUILDING_DLL
+#define MIND_API __declspec(dllexport)
+#else
+#define MIND_API __declspec(dllimport)
+#endif
+#else
+#define MIND_API __attribute__((visibility("default")))
+#endif
+
+#endif  // MINDSPORE_CORE_MINDAPI_BASE_MACROS_H_

mindspore/core/mindapi/base/shape_vector.h

@@ -0,0 +1,25 @@
+/**
+ * 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_CORE_MINDAPI_BASE_SHAPE_VECTOR_H_
+#define MINDSPORE_CORE_MINDAPI_BASE_SHAPE_VECTOR_H_
+
+#include <cstdint>
+#include <vector>
+
+using ShapeVector = std::vector<int64_t>;
+
+#endif  // MINDSPORE_CORE_MINDAPI_BASE_SHAPE_VECTOR_H_

mindspore/core/mindapi/base/shared_ptr.h

@@ -0,0 +1,180 @@
+/**
+ * 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_CORE_MINDAPI_BASE_SHARED_PTR_H_
+#define MINDSPORE_CORE_MINDAPI_BASE_SHARED_PTR_H_
+
+#include <cstdint>
+#include <memory>
+#include <utility>
+#include <ostream>
+#include <functional>
+
+namespace mindspore::api {
+/// \brief SharedPtr wraps a std::shared_ptr and provides wrapper functions according the underlying implementation.
+template <typename T>
+class SharedPtr {
+ public:
+  using element_type = T;
+  constexpr SharedPtr() noexcept = default;
+  constexpr SharedPtr(std::nullptr_t) noexcept : SharedPtr() {}  // NOLINT
+  template <typename U>
+  explicit SharedPtr(std::shared_ptr<U> &&ptr) : ptr_(std::move(ptr)) {}
+  template <typename U>
+  SharedPtr(const SharedPtr<U> &other) : ptr_(other.ptr_) {}
+  template <typename U>
+  SharedPtr(SharedPtr<U> &&other) : ptr_(std::move(other.ptr_)) {}
+  template <typename U>
+  SharedPtr &operator=(const SharedPtr<U> &other) {
+    ptr_ = other.ptr_;
+    return *this;
+  }
+  template <typename U>
+  SharedPtr &operator=(SharedPtr<U> &&other) {
+    ptr_ = std::move(other.ptr_);
+    return *this;
+  }
+  ~SharedPtr() = default;
+
+  std::uintptr_t addr() const { return (ptr_ == nullptr) ? 0 : reinterpret_cast<std::uintptr_t>(ptr_->impl().get()); }
+  element_type &operator*() const noexcept { return *ptr_; }
+  element_type *operator->() const noexcept { return ptr_.get(); }
+  element_type *get() const noexcept { return ptr_.get(); }
+  explicit operator bool() const { return addr() != 0; }
+
+ private:
+  template <typename U>
+  friend class SharedPtr;
+  std::shared_ptr<element_type> ptr_;
+};
+
+template <typename T, typename U>
+inline bool operator==(const SharedPtr<T> &a, const SharedPtr<U> &b) noexcept {
+  return a.addr() == b.addr();
+}
+
+template <typename T>
+inline bool operator==(const SharedPtr<T> &a, std::nullptr_t) noexcept {
+  return a.addr() == 0;
+}
+
+template <typename T>
+inline bool operator==(std::nullptr_t, const SharedPtr<T> &a) noexcept {
+  return a.addr() == 0;
+}
+
+template <typename T, typename U>
+inline bool operator!=(const SharedPtr<T> &a, const SharedPtr<U> &b) noexcept {
+  return a.addr() != b.addr();
+}
+
+template <typename T>
+inline bool operator!=(const SharedPtr<T> &a, std::nullptr_t) noexcept {
+  return a.addr() != 0;
+}
+
+template <typename T>
+inline bool operator!=(std::nullptr_t, const SharedPtr<T> &a) noexcept {
+  return a.addr() != 0;
+}
+
+template <typename T, typename U>
+inline bool operator<(const SharedPtr<T> &a, const SharedPtr<U> &b) noexcept {
+  return a.addr() < b.addr();
+}
+
+template <typename T>
+inline bool operator<(const SharedPtr<T> &a, std::nullptr_t) noexcept {
+  return a.addr() < 0;
+}
+
+template <typename T>
+inline bool operator<(std::nullptr_t, const SharedPtr<T> &a) noexcept {
+  // 'nullptr < ptr' is false only when ptr is nullptr.
+  return a.addr() != 0;
+}
+
+template <typename T, typename U>
+inline bool operator>(const SharedPtr<T> &a, const SharedPtr<U> &b) noexcept {
+  return a.addr() > b.addr();
+}
+
+template <typename T>
+inline bool operator>(const SharedPtr<T> &a, std::nullptr_t) noexcept {
+  return a.addr() > 0;
+}
+
+template <typename T>
+inline bool operator>(std::nullptr_t, const SharedPtr<T> &a) noexcept {
+  // 'nullptr > ptr' is always false.
+  return false;
+}
+
+template <typename T, typename U>
+inline bool operator<=(const SharedPtr<T> &a, const SharedPtr<U> &b) noexcept {
+  return a.addr() <= b.addr();
+}
+
+template <typename T>
+inline bool operator<=(const SharedPtr<T> &a, std::nullptr_t) noexcept {
+  return a.addr() <= 0;
+}
+
+template <typename T>
+inline bool operator<=(std::nullptr_t, const SharedPtr<T> &a) noexcept {
+  // 'nullptr <= ptr' is always true.
+  return true;
+}
+
+template <typename T, typename U>
+inline bool operator>=(const SharedPtr<T> &a, const SharedPtr<U> &b) noexcept {
+  return a.addr() >= b.addr();
+}
+
+template <typename T>
+inline bool operator>=(const SharedPtr<T> &a, std::nullptr_t) noexcept {
+  return a.addr() >= 0;
+}
+
+template <typename T>
+inline bool operator>=(std::nullptr_t, const SharedPtr<T> &a) noexcept {
+  // 'nullptr >= ptr' is true only when ptr is nullptr.
+  return a.addr() == 0;
+}
+
+template <typename T, typename U, typename V>
+inline std::basic_ostream<U, V> &operator<<(std::basic_ostream<U, V> &os, const SharedPtr<T> &a) {
+  return (os << reinterpret_cast<void *>(a.addr()));
+}
+
+/// \brief Constructs an object of type T and wraps it in a SharedPtr.
+///
+/// \param[in] args The parameter list for the constructor of T.
+template <typename T, typename... Args>
+inline SharedPtr<T> MakeShared(Args &&... args) {
+  auto ptr = std::make_shared<T>(std::forward<Args>(args)...);
+  return SharedPtr<T>(std::move(ptr));
+}
+}  // namespace mindspore::api
+
+namespace std {
+template <typename T>
+struct hash<mindspore::api::SharedPtr<T>> {
+  size_t operator()(const mindspore::api::SharedPtr<T> &ptr) const noexcept { return static_cast<size_t>(ptr.addr()); }
+};
+}  // namespace std
+
+#endif  // MINDSPORE_CORE_MINDAPI_BASE_SHARED_PTR_H_

mindspore/core/mindapi/base/type_id.h

@@ -0,0 +1,104 @@
+/**
+ * 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_CORE_MINDAPI_BASE_TYPE_ID_H_
+#define MINDSPORE_CORE_MINDAPI_BASE_TYPE_ID_H_
+
+namespace mindspore {
+/// \brief TypeId defines data type identifiers.
+enum TypeId : int {
+  kTypeUnknown = 0,
+  //
+  // Meta types.
+  //
+  kMetaTypeBegin = kTypeUnknown,
+  kMetaTypeType,  // Type
+  kMetaTypeAnything,
+  kMetaTypeObject,
+  kMetaTypeTypeType,  // TypeType
+  kMetaTypeProblem,
+  kMetaTypeExternal,
+  kMetaTypeNone,
+  kMetaTypeNull,
+  kMetaTypeEllipsis,
+  kMetaTypeEnd,
+  //
+  // Object types
+  //
+  kObjectTypeBegin = kMetaTypeEnd,
+  kObjectTypeNumber,
+  kObjectTypeString,
+  kObjectTypeList,
+  kObjectTypeTuple,
+  kObjectTypeSlice,
+  kObjectTypeKeyword,
+  kObjectTypeTensorType,
+  kObjectTypeRowTensorType,
+  kObjectTypeSparseTensorType,
+  kObjectTypeUndeterminedType,
+  kObjectTypeClass,
+  kObjectTypeDictionary,
+  kObjectTypeFunction,
+  kObjectTypeJTagged,
+  kObjectTypeSymbolicKeyType,
+  kObjectTypeEnvType,
+  kObjectTypeRefKey,
+  kObjectTypeRef,
+  kObjectTypeEnd,
+  //
+  // Number Types
+  //
+  kNumberTypeBegin = kObjectTypeEnd,
+  kNumberTypeBool,
+  kNumberTypeInt,
+  kNumberTypeInt8,
+  kNumberTypeInt16,
+  kNumberTypeInt32,
+  kNumberTypeInt64,
+  kNumberTypeUInt,
+  kNumberTypeUInt8,
+  kNumberTypeUInt16,
+  kNumberTypeUInt32,
+  kNumberTypeUInt64,
+  kNumberTypeFloat,
+  kNumberTypeFloat16,
+  kNumberTypeFloat32,
+  kNumberTypeFloat64,
+  kNumberTypeComplex,
+  kNumberTypeComplex64,
+  kNumberTypeComplex128,
+  kNumberTypeInt4,
+  kNumberTypeGLUInt,
+  kNumberTypeEnd,
+  //
+  // Monad Types
+  //
+  kMonadTypeBegin = kNumberTypeEnd,
+  kObjectTypeMonad,
+  kObjectTypeUMonad,
+  kObjectTypeIOMonad,
+  kMonadTypeEnd,
+  //
+  // Sparse Types
+  //
+  // Sparse types is placed at the end of enum,
+  // in order to keep fit with the type of existing model on the lite side.
+  kSparseTypeBegin = kMonadTypeEnd,
+  kObjectTypeCSRTensorType,
+  kSparseTypeEnd
+};
+}  // namespace mindspore
+#endif  // MINDSPORE_CORE_MINDAPI_BASE_TYPE_ID_H_

mindspore/core/mindapi/base/type_traits.h

@@ -0,0 +1,42 @@
+/**
+ * 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_CORE_MINDAPI_BASE_TYPE_TRAITS_H_
+#define MINDSPORE_CORE_MINDAPI_BASE_TYPE_TRAITS_H_
+
+#include <vector>
+#include <memory>
+#include <type_traits>
+#include "mindapi/base/shared_ptr.h"
+
+namespace mindspore::api {
+template <typename T>
+struct is_wrapper_ptr : public std::false_type {};
+template <typename T>
+struct is_wrapper_ptr<SharedPtr<T>> : public std::true_type {};
+
+template <typename T>
+struct is_shared_ptr : public std::false_type {};
+template <typename T>
+struct is_shared_ptr<std::shared_ptr<T>> : public std::true_type {};
+
+template <typename T>
+struct is_vector : public std::false_type {};
+template <typename T, typename A>
+struct is_vector<std::vector<T, A>> : public std::true_type {};
+}  // namespace mindspore::api
+
+#endif  // MINDSPORE_CORE_MINDAPI_BASE_TYPE_TRAITS_H_

mindspore/core/mindapi/ir/abstract.h

@@ -0,0 +1,101 @@
+/**
+ * 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_CORE_MINDAPI_IR_ABSTRACT_H_
+#define MINDSPORE_CORE_MINDAPI_IR_ABSTRACT_H_
+
+#include "mindapi/base/base.h"
+#include "mindapi/ir/common.h"
+#include "mindapi/ir/shape.h"
+#include "mindapi/ir/type.h"
+#include "mindapi/ir/value.h"
+
+namespace mindspore::api {
+/// \brief AbstractBase defines base interfaces for abstract of an anf node.
+class MIND_API AbstractBase : public Base {
+ public:
+  MIND_API_BASE_MEMBER(AbstractBase);
+
+  /// \brief Clone an abstract from this abstract.
+  ///
+  /// \return A pointer to the cloned abstract.
+  AbstractBasePtr Clone() const;
+
+  /// \brief Get the abstract type.
+  ///
+  /// \return A pointer to the Type.
+  TypePtr type() const;
+
+  /// \brief Get the abstract value.
+  ///
+  /// \return A pointer to the Value.
+  ValuePtr value() const;
+
+  /// \brief Set the type for this abstract.
+  ///
+  /// \param[in] type The type to be set.
+  void set_type(const TypePtr &type);
+
+  /// \brief Set the value for this abstract.
+  ///
+  /// \param[in] value The value to be set.
+  void set_value(const ValuePtr &value);
+};
+
+/// \brief AbstractTensor describes a tensor's type, shape and value.
+class MIND_API AbstractTensor : public AbstractBase {
+ public:
+  MIND_API_BASE_MEMBER(AbstractTensor);
+
+  /// \brief Create AbstractTensor from the given type and shape.
+  ///
+  /// \param[in] type The data type id of the tensor.
+  /// \param[in] shape The shape of the tensor.
+  AbstractTensor(TypeId type, const ShapeVector &shape);
+
+  /// \brief Get the element abstract.
+  ///
+  /// \return A pointer to the element abstract.
+  AbstractBasePtr element() const;
+
+  /// \brief Get the shape of the abstract.
+  ///
+  /// \return A pointer to the shape.
+  ShapePtr shape() const;
+};
+
+using AbstractTensorPtr = SharedPtr<AbstractTensor>;
+
+/// \brief AbstractSequence describes the abstract for a tuple or list.
+class MIND_API AbstractSequence : public AbstractBase {
+ public:
+  MIND_API_BASE_MEMBER(AbstractSequence);
+
+  /// \brief Get element abstracts.
+  ///
+  /// \return A vector of element abstracts.
+  AbstractBasePtrList elements() const;
+};
+
+using AbstractSequencePtr = SharedPtr<AbstractSequence>;
+
+/// \brief AbstractTuple describes the abstract for a tuple.
+class MIND_API AbstractTuple : public AbstractSequence {
+ public:
+  MIND_API_BASE_MEMBER(AbstractTuple);
+};
+}  // namespace mindspore::api
+#endif  // MINDSPORE_CORE_MINDAPI_IR_ABSTRACT_H_

mindspore/core/mindapi/ir/anf.h

@@ -0,0 +1,232 @@
+/**
+ * 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_CORE_MINDAPI_IR_ANF_H_
+#define MINDSPORE_CORE_MINDAPI_IR_ANF_H_
+
+#include <vector>
+#include <string>
+#include "mindapi/base/base.h"
+#include "mindapi/ir/common.h"
+#include "mindapi/ir/abstract.h"
+#include "mindapi/ir/primitive.h"
+#include "mindapi/ir/value.h"
+
+namespace mindspore::api {
+/// \brief AnfNode is the basic class of the IR graph node.
+class MIND_API AnfNode : public Base {
+ public:
+  MIND_API_BASE_MEMBER(AnfNode);
+
+  /// \brief Obtain detailed information about scope namespace.
+  ///
+  /// \return Detailed information about scope namespace.
+  std::string fullname_with_scope() const;
+
+  /// \brief Obtain the inferred abstract value of this AnfNode.
+  ///
+  /// \return The inferred abstract value.
+  AbstractBasePtr abstract() const;
+
+  /// \brief Set the abstract value of this AnfNode.
+  ///
+  /// \param[in] abs New abstract value.
+  void set_abstract(const AbstractBasePtr &abs);
+};
+
+/// \brief CNode represents a compute node with a set of input nodes.
+class MIND_API CNode : public AnfNode {
+ public:
+  MIND_API_BASE_MEMBER(CNode);
+
+  /// \brief Get the number of inputs.
+  ///
+  /// \return The number of inputs in this CNode.
+  size_t size() const;
+
+  /// \brief Get the input node of the given index.
+  ///
+  /// \param[in] i The given index.
+  ///
+  /// \return The input node of the given index.
+  AnfNodePtr input(size_t i) const;
+
+  /// \brief Get the input nodes.
+  ///
+  /// \return The input nodes of this CNode.
+  std::vector<AnfNodePtr> inputs() const;
+
+  /// \brief Set the input nodes for this CNode.
+  ///
+  /// \param[in] inputs Input nodes.
+  void set_inputs(const std::vector<AnfNodePtr> &inputs);
+
+  /// \brief Add an input node to this CNode.
+  ///
+  /// \param[in] input the input node to be added.
+  void add_input(const AnfNodePtr &input);
+
+  /// \brief Set fullname_with_scope for this CNode.
+  ///
+  /// \param[in] full_name The fullname_with_scope.
+  void set_fullname_with_scope(const std::string &full_name);
+
+  /// \brief Add a new attribute to this CNode.
+  ///
+  /// \param[in] name The name of the new attribute.
+  /// \param[in] attr The value of the new attribute.
+  void AddAttr(const std::string &name, const ValuePtr &attr);
+
+  /// \brief Erase the attribute with the given name.
+  ///
+  /// \param[in] name The name of attribute.
+  void EraseAttr(const std::string &name);
+
+  /// \brief Get the attribute with the given name.
+  ///
+  /// \param[in] name The name of attribute.
+  /// \return Attribute.
+  ValuePtr GetAttr(const std::string &name) const;
+};
+
+using CNodePtr = SharedPtr<CNode>;
+
+/// \brief Parameter represents the parameter inputs of a function.
+class MIND_API Parameter : public AnfNode {
+ public:
+  MIND_API_BASE_MEMBER(Parameter);
+
+  /// \brief Get the name of this Parameter.
+  ///
+  /// \return The name.
+  std::string name() const;
+
+  /// \brief Set the name of this Parameter.
+  ///
+  /// \param[in] The name.
+  void set_name(const std::string &name);
+
+  /// \brief Check if there is a default parameter.
+  ///
+  /// \return True if this Parameter has a default parameter, otherwise false.
+  bool has_default() const;
+
+  /// \brief Set the default parameter.
+  ///
+  /// \param[in] param The default parameter.
+  void set_default_param(const ValuePtr &param);
+
+  /// \brief Get the default parameter.
+  ///
+  /// \return The default parameter.
+  ValuePtr default_param() const;
+};
+
+using ParameterPtr = SharedPtr<Parameter>;
+
+/// \brief ValueNode is a graph node that hold a value.
+class MIND_API ValueNode : public AnfNode {
+ public:
+  MIND_API_BASE_MEMBER(ValueNode);
+
+  /// \brief Create ValueNode with the given value.
+  ///
+  /// \param[in] value The value of this ValueNode.
+  explicit ValueNode(const ValuePtr &value);
+
+  /// \brief Get the value of this ValueNode.
+  ///
+  /// \return The value.
+  ValuePtr value() const;
+};
+
+using ValueNodePtr = SharedPtr<ValueNode>;
+
+// === ANF utility functions === //
+
+/// \brief Create a ValueNode with the given value.
+///
+/// \param[in] value The given value.
+///
+/// \return The created ValueNode.
+inline ValueNodePtr NewValueNode(const ValuePtr &value) { return MakeShared<ValueNode>(value); }
+
+/// \brief Create a ValueNode with the given primitive type value.
+///
+/// \param[in] value The given primitive type value.
+///
+/// \return The created ValueNode.
+template <typename T>
+inline ValueNodePtr NewValueNode(T value) {
+  return NewValueNode(MakeValue(value));
+}
+
+/// \brief Get the value from a node if it is a ValueNode.
+///
+/// \param[in] node The node which may hold a value.
+///
+/// \return A pointer to the value, nullptr if the node is not a ValueNode, or value not set.
+inline ValuePtr GetValueNode(const AnfNodePtr &node) {
+  if (node == nullptr) {
+    return nullptr;
+  }
+  auto value_node = node->cast<ValueNodePtr>();
+  if (value_node == nullptr) {
+    return nullptr;
+  }
+  return value_node->value();
+}
+
+/// \brief Get the value with the given type from a node if it is a ValueNode.
+///
+/// \param[in] node The node which may hold a value.
+///
+/// \return A pointer to the value, nullptr if the node is not a ValueNode, or value not set, or value type is mismatch.
+template <typename T, typename = typename std::enable_if_t<
+                        is_wrapper_ptr<T>::value && std::is_base_of_v<Value, typename T::element_type>, T>>
+inline T GetValueNode(const AnfNodePtr &node) {
+  auto value = GetValueNode(node);
+  if (value == nullptr) {
+    return nullptr;
+  }
+  return value->cast<T>();
+}
+
+/// \brief Check whether the given node is a cnode with the given Primitive as the first input.
+///
+/// \param[in] node The given node to be checked.
+/// \param[in] prim The Primitive value, nullptr means match any Primitive.
+///
+/// \return True if the node is cnode and the first input is the given Primitive, false otherwise.
+MIND_API bool IsPrimitiveCNode(const AnfNodePtr &node, const PrimitivePtr &prim = nullptr);
+
+/// \brief Check whether the given node is a ValueNode with the given Primitive.
+///
+/// \param[in] node The given node to be checked.
+/// \param[in] prim The Primitive value.
+///
+/// \return True if the given node is a ValueNode with the given Primitive, false otherwise.
+MIND_API bool IsPrimitive(const AnfNodePtr &node, const PrimitivePtr &prim);
+
+/// \brief Check if a node is a data node.
+/// Some nodes may be used internally to pass some non-data states, those nodes are not data nodes.
+///
+/// \param[in] node The node to be checked.
+///
+/// \return True if the node is a data node, false otherwise.
+MIND_API bool IsDataNode(const AnfNodePtr &node);
+}  // namespace mindspore::api
+#endif  // MINDSPORE_CORE_MINDAPI_IR_ANF_H_

mindspore/core/mindapi/ir/common.h

@@ -0,0 +1,50 @@
+/**
+ * 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_CORE_MINDAPI_IR_COMMON_H_
+#define MINDSPORE_CORE_MINDAPI_IR_COMMON_H_
+
+#include <vector>
+#include "mindapi/base/shared_ptr.h"
+
+namespace mindspore::api {
+class AnfNode;
+using AnfNodePtr = SharedPtr<AnfNode>;
+using AnfNodePtrList = std::vector<AnfNodePtr>;
+
+class Value;
+using ValuePtr = SharedPtr<Value>;
+
+class Primitive;
+using PrimitivePtr = SharedPtr<Primitive>;
+
+class Type;
+using TypePtr = SharedPtr<Type>;
+
+class AbstractBase;
+using AbstractBasePtr = SharedPtr<AbstractBase>;
+using AbstractBasePtrList = std::vector<AbstractBasePtr>;
+
+class Shape;
+using ShapePtr = SharedPtr<Shape>;
+
+class FuncGraph;
+using FuncGraphPtr = SharedPtr<FuncGraph>;
+
+class FuncGraphManager;
+using FuncGraphManagerPtr = SharedPtr<FuncGraphManager>;
+}  // namespace mindspore::api
+#endif  // MINDSPORE_CORE_MINDAPI_IR_COMMON_H_

mindspore/core/mindapi/ir/func_graph.h

@@ -0,0 +1,193 @@
+/**
+ * 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_CORE_MINDAPI_IR_FUNC_GRAPH_H_
+#define MINDSPORE_CORE_MINDAPI_IR_FUNC_GRAPH_H_
+
+#include <vector>
+#include <string>
+#include <utility>
+#include <memory>
+#include "mindapi/base/base.h"
+#include "mindapi/ir/common.h"
+#include "mindapi/ir/anf.h"
+#include "mindapi/ir/primitive.h"
+#include "mindapi/ir/value.h"
+#include "mindapi/ir/utils.h"
+
+namespace mindspore {
+class FuncGraphManager;
+}
+
+namespace mindspore::api {
+/// \brief FuncGraph defines interface for a function graph.
+class MIND_API FuncGraph : public Value {
+ public:
+  MIND_API_BASE_MEMBER(FuncGraph);
+
+  /// \brief Get the input parameters.
+  ///
+  /// \return Input parameters of this graph.
+  std::vector<AnfNodePtr> get_inputs() const;
+
+  /// \brief Get all parameters.
+  ///
+  /// \return All parameters of this graph.
+  std::vector<AnfNodePtr> parameters() const;
+
+  /// \brief Adds a parameter to this graph.
+  ///
+  /// \param[in] p The parameter to be added.
+  void add_parameter(const ParameterPtr &p);
+
+  /// \brief Adds a new parameter to this graph.
+  ///
+  /// \return The new added parameter.
+  ParameterPtr add_parameter();
+
+  /// \brief Get the output node.
+  ///
+  /// \return The output node, nullptr if output not set.
+  AnfNodePtr output() const;
+
+  /// \brief Get the return CNode.
+  ///
+  /// \return The return CNode, nullptr if no return node.
+  CNodePtr get_return() const;
+
+  /// \brief Set the output node.
+  ///
+  /// \param[in] value The output node to be set.
+  /// \param[in] force_new_ret If true, a new return node is always created.
+  void set_output(const AnfNodePtr &value, bool force_new_ret = false);
+
+  /// \brief Set the return node.
+  ///
+  /// \param[in] cnode The return CNode to be set.
+  void set_return(const CNodePtr &cnode);
+
+  /// \brief Creates a new CNode in this graph.
+  ///
+  /// \param[in] inputs The input nodes of the new CNode.
+  ///
+  /// \return The created CNode.
+  CNodePtr NewCNode(const std::vector<AnfNodePtr> &inputs = std::vector<AnfNodePtr>());
+
+  /// \brief Creates a new primitive CNode in this graph.
+  ///
+  /// \param[in] primitive The primitive of the new CNode.
+  /// \param[in] prim_inputs The argument inputs of the primitive CNode.
+  ///
+  /// \return The created primitive CNode.
+  CNodePtr NewCNode(const PrimitivePtr &primitive, const std::vector<AnfNodePtr> &prim_inputs);
+
+  /// \brief Get all nodes in this graph.
+  ///
+  /// \return All nodes in this graph.
+  std::vector<AnfNodePtr> nodes() const;
+
+  /// \brief Check whether an attribute is set for this graph.
+  ///
+  /// \param[in] key The attribute key (name).
+  ///
+  /// \return True if the attribute with the given key is set, false otherwise.
+  bool has_attr(const std::string &key) const;
+
+  /// \brief Get an attribute value by its key.
+  ///
+  /// \param[in] key The attribute key (name).
+  ///
+  /// \return The attribute value for the given key, nullptr if attribute not found.
+  ValuePtr get_attr(const std::string &key) const;
+
+  /// \brief Set an attribute value.
+  ///
+  /// \param[in] key The attribute key (name).
+  /// \param[in] value The attribute value.
+  void set_attr(const std::string &key, const ValuePtr &value);
+
+  /// \brief Get the manager for this graph.
+  ///
+  /// \return The manager of this graph, nullptr if not set.
+  FuncGraphManagerPtr manager() const;
+
+  /// \brief Creates an empty function graph.
+  ///
+  /// \return The created function graph.
+  static FuncGraphPtr Create();
+
+  /// \brief Topological sort a graph from the given end node.
+  ///
+  /// \param[in] node The end node of the graph to be sorted.
+  ///
+  /// \return The sorted nodes.
+  static std::vector<AnfNodePtr> TopoSort(const AnfNodePtr &node);
+};
+
+/// \brief FuncGraphManager defines interface for function graph management.
+class MIND_API FuncGraphManager {
+ public:
+  /// \brief Create FuncGraphManager with the given implementor object.
+  ///
+  /// \param[in] impl The pointer to the implementor object.
+  explicit FuncGraphManager(const std::shared_ptr<mindspore::FuncGraphManager> &impl);
+
+  /// \brief Get the shared_ptr to the underly implementation object.
+  ///
+  /// \return The shared_ptr to the underly implementation object.
+  const std::shared_ptr<mindspore::FuncGraphManager> &impl() const { return impl_; }
+
+  /// \brief Replace an old node with a new node, related edges are all updated.
+  ///
+  /// \param[in] old_node The old node to be replaced.
+  /// \param[in] new_node The new node that replace the old one.
+  ///
+  /// \return True if the node is successfully replaced, false otherwise.
+  bool Replace(const AnfNodePtr &old_node, const AnfNodePtr &new_node);
+
+  /// \brief Change an existed edge by replace its input node.
+  ///
+  /// \param[in] node The output node of the edge.
+  /// \param[in] index The input index in output node.
+  /// \param[in] value The new input node of the edge.
+  void SetEdge(const AnfNodePtr &node, int index, const AnfNodePtr &value);
+
+  /// \brief Adds a new edge between the given two nodes.
+  ///
+  /// \param[in] node The output node of the edge.
+  /// \param[in] value The input node of the edge.
+  void AddEdge(const AnfNodePtr &node, const AnfNodePtr &value);
+
+  /// \brief Find users of the given node.
+  ///
+  /// \param[in] node The node.
+  ///
+  /// \return Users of the given node, empty if user not found.
+  std::vector<std::pair<AnfNodePtr, int>> GetUsers(const AnfNodePtr &node) const;
+
+  /// \brief Manage the give function graph.
+  ///
+  /// \param[in] func_graph The function graph to be managed.
+  /// \param[in] manage If true, the created manager will be set in the graph.
+  ///
+  /// \return The manager that manages the given function graph.
+  static FuncGraphManagerPtr Manage(const FuncGraphPtr &func_graph, bool manage = true);
+
+ private:
+  const std::shared_ptr<mindspore::FuncGraphManager> impl_;
+};
+}  // namespace mindspore::api
+#endif  // MINDSPORE_CORE_MINDAPI_IR_FUNC_GRAPH_H_

mindspore/core/mindapi/ir/primitive.h

@@ -0,0 +1,79 @@
+/**
+ * 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_CORE_MINDAPI_IR_PRIMITIVE_H_
+#define MINDSPORE_CORE_MINDAPI_IR_PRIMITIVE_H_
+
+#include <vector>
+#include <string>
+#include <unordered_map>
+#include "mindapi/base/base.h"
+#include "mindapi/ir/common.h"
+#include "mindapi/ir/value.h"
+
+namespace mindspore::api {
+/// \brief Primitive defines a primitive operator.
+class MIND_API Primitive : public Value {
+ public:
+  MIND_API_BASE_MEMBER(Primitive);
+
+  /// \brief Create primitive with the given name.
+  ///
+  /// \param[in] name The primitive name.
+  explicit Primitive(const std::string &name);
+
+  /// \brief Get name of the primitive.
+  ///
+  /// \return The name of primitive.
+  const std::string &name() const;
+
+  /// \brief Add attribute to primitive.
+  ///
+  /// \param[in] name The attribute name.
+  /// \param[in] attr The attribute value.
+  /// \return The primitive to which attribute has been added.
+  Primitive &AddAttr(const std::string &name, const ValuePtr &attr);
+
+  /// \brief Add attributes by using a map, all elements of the map will be added to this primitive.
+  ///
+  /// \param[in] attrs The attribute map needs to be added in the primitive attribute.
+  /// \return The primitive to which attribute has been added.
+  Primitive &SetAttrs(const std::unordered_map<std::string, ValuePtr> &attrs);
+
+  /// \brief Erase attribute to the primitive attribute map.
+  ///
+  /// \param[in] name The attribute name.
+  void EraseAttr(const std::string &name);
+
+  /// \brief Get attribute value by name.
+  ///
+  /// \param[in] name the attribute name.
+  /// \return The value of the attribute, null if attribute name not found.
+  ValuePtr GetAttr(const std::string &name) const;
+
+  /// \brief Check If Primitive has an attribute with then given name.
+  ///
+  /// \param[in] name The attribute name.
+  /// \return True if there is an attribute with the given name, otherwise false.
+  bool HasAttr(const std::string &name) const;
+
+  /// \brief Get all attributes of this primitive as a map.
+  ///
+  /// \return The attribute map of this primitive.
+  std::unordered_map<std::string, ValuePtr> attrs() const;
+};
+}  // namespace mindspore::api
+#endif  // MINDSPORE_CORE_MINDAPI_IR_PRIMITIVE_H_

mindspore/core/mindapi/ir/shape.h

@@ -0,0 +1,36 @@
+/**
+ * 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_CORE_MINDAPI_IR_SHAPE_H_
+#define MINDSPORE_CORE_MINDAPI_IR_SHAPE_H_
+
+#include "mindapi/base/base.h"
+#include "mindapi/base/shape_vector.h"
+#include "mindapi/ir/common.h"
+
+namespace mindspore::api {
+/// \brief Shape defines dimensions of a tensor.
+class MIND_API Shape : public Base {
+ public:
+  MIND_API_BASE_MEMBER(Shape);
+
+  /// \brief Get the shape dimensions.
+  ///
+  /// \return The shape dimensions.
+  const ShapeVector &shape() const;
+};
+}  // namespace mindspore::api
+#endif  // MINDSPORE_CORE_MINDAPI_IR_SHAPE_H_

mindspore/core/mindapi/ir/tensor.h

@@ -0,0 +1,93 @@
+/**
+ * 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_CORE_MINDAPI_IR_TENSOR_H_
+#define MINDSPORE_CORE_MINDAPI_IR_TENSOR_H_
+
+#include <cstdint>
+#include "mindapi/base/base.h"
+#include "mindapi/base/shape_vector.h"
+#include "mindapi/base/type_id.h"
+#include "mindapi/ir/common.h"
+#include "mindapi/ir/value.h"
+
+namespace mindspore::api {
+/// \brief Tensor represents a multi-dimensional array of elements.
+class MIND_API Tensor : public Value {
+ public:
+  MIND_API_BASE_MEMBER(Tensor);
+
+  /// \brief Create a lazy allocated tensor.
+  ///
+  /// \param[in] data_type [TypeId] Data type of the tensor.
+  /// \param[in] shape The shape represented by ShapeVector of the tensor.
+  Tensor(TypeId data_type, const ShapeVector &shape);
+
+  /// \brief Create a tensor with input data buffer.
+  ///
+  /// \param[in] data_type [TypeId] Data type of the tensor.
+  /// \param[in] shape The shape represented by ShapeVector of the tensor.
+  /// \param[in] data The input data to be copied into tensor.
+  /// \param[in] data_len The length of data in bytes.
+  Tensor(TypeId data_type, const ShapeVector &shape, void *data, size_t data_len);
+
+  /// \brief Get the shape of the tensor.
+  /// The shape of a tensor is stored in a vector<int64_t>. Each element of the
+  /// vector represents the size of a dimension of the tensor. The order of each
+  /// element in the vector is the same as the the dimension's order it represents.
+  ///
+  /// \return A vector<int64_t> which represents the shape of the tensor.
+  const ShapeVector &shape() const;
+
+  /// \brief Set the shape of tensor.
+  ///
+  /// \param[in] shape The shape to be set.
+  void set_shape(const ShapeVector &shape);
+
+  /// \brief Get the data type of the tensor.
+  ///
+  /// \return The data type of the tensor.
+  TypeId data_type() const;
+
+  /// \brief Set the data type of the tensor.
+  ///
+  /// \param[in] data_type The data type to be set.
+  void set_data_type(const TypeId data_type);
+
+  /// \brief Get The pointer to the underlying memory block for data storage.
+  ///
+  /// \return The pointer to the underlying data.
+  const void *data() const;
+
+  /// \brief Get The pointer to the underlying memory block for data storage.
+  ///
+  /// \return The pointer to the underlying data.
+  void *data();
+
+  /// \brief Get tensor data size.
+  ///
+  /// \return The total number of elements in the tensor.
+  int DataSize() const;
+
+  /// \brief Get tensor data size in bytes.
+  ///
+  /// \return The total number of bytes for the tensor data.
+  std::size_t Size() const;
+};
+
+using TensorPtr = SharedPtr<Tensor>;
+}  // namespace mindspore::api
+#endif  // MINDSPORE_CORE_MINDAPI_IR_TENSOR_H_

mindspore/core/mindapi/ir/type.h

@@ -0,0 +1,56 @@
+/**
+ * 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_CORE_MINDAPI_IR_TYPE_H_
+#define MINDSPORE_CORE_MINDAPI_IR_TYPE_H_
+
+#include "mindapi/base/base.h"
+#include "mindapi/base/type_id.h"
+#include "mindapi/ir/common.h"
+#include "mindapi/ir/value.h"
+
+namespace mindspore::api {
+/// \brief Type defines the type of a value.
+class MIND_API Type : public Value {
+ public:
+  MIND_API_BASE_MEMBER(Type);
+
+  /// \brief Get the id of the Type object.
+  ///
+  /// \return The id of the Type object.
+  TypeId type_id() const;
+
+  /// \brief Get the number type of the Type object.
+  ///
+  /// \return The number type of this Type object, kTypeUnknown if this is not a number type.
+  TypeId number_type() const;
+
+  /// \brief Get the Type according to a TypeId.
+  ///
+  /// \param[in] id The id of the type.
+  ///
+  /// \return The pointer to the Type.
+  static TypePtr GetType(TypeId id);
+
+  /// \brief Get data size in bytes for the type according to a TypeId.
+  ///
+  /// \param[in] id The id of the type.
+  ///
+  /// \return The data size in bytes for the Type.
+  static size_t GetSize(TypeId id);
+};
+}  // namespace mindspore::api
+#endif  // MINDSPORE_CORE_MINDAPI_IR_TYPE_H_

mindspore/core/mindapi/ir/utils.h

@@ -0,0 +1,70 @@
+/**
+ * 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_CORE_MINDAPI_IR_UTILS_H_
+#define MINDSPORE_CORE_MINDAPI_IR_UTILS_H_
+
+#include "mindapi/base/base.h"
+#include "mindapi/base/shared_ptr.h"
+#include "mindapi/base/type_traits.h"
+#include "mindapi/ir/anf.h"
+#include "mindapi/ir/value.h"
+#include "mindapi/ir/func_graph.h"
+
+namespace mindspore::api::utils {
+/// \brief Check whether the given object is an instance of the given class.
+///
+/// \param[in] ptr The pointer to the given object.
+///
+/// \return True if the pointer is not null and the object is an instance of the given class, false otherwise.
+template <typename T, typename = typename std::enable_if_t<std::is_base_of_v<Base, T>, T>>
+bool isa(const BasePtr &ptr) {
+  if (ptr == nullptr) {
+    return false;
+  }
+  return ptr->isa<T>();
+}
+
+/// \brief Cast the given object pointer to a pointer with the given class.
+///
+/// \param[in] ptr The pointer to the object to casted.
+///
+/// \return A non-null pointer if the input pointer is not null and cast success, nullptr otherwise.
+template <typename T, typename = typename std::enable_if_t<is_wrapper_ptr<T>::value, T>>
+T cast(const BasePtr &ptr) {
+  if (ptr == nullptr) {
+    return nullptr;
+  }
+  return ptr->cast<T>();
+}
+
+/// \brief Make a copy from the given function graph.
+///
+/// \param[in] func_graph The graph to be cloned.
+///
+/// \return The cloned graph.
+MIND_API FuncGraphPtr CloneGraph(const FuncGraphPtr &func_graph);
+
+/// \brief Get pad mode id from a value holds the pad mode name or id.
+///
+/// \param[in] value The value holds the pad mode name or id.
+/// \param[in] is_upper Indicates whether the name is uppercase or lowercase, default is false for lowercase.
+///
+/// \return The pad mode id.
+MIND_API int64_t GetPadMode(const ValuePtr &value, bool is_upper = false);
+}  // namespace mindspore::api::utils
+
+#endif  // MINDSPORE_CORE_MINDAPI_IR_UTILS_H_

mindspore/core/mindapi/ir/value.h

@@ -0,0 +1,270 @@
+/**
+ * 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_CORE_MINDAPI_IR_VALUE_H_
+#define MINDSPORE_CORE_MINDAPI_IR_VALUE_H_
+
+#include <vector>
+#include <string>
+#include <type_traits>
+#include "mindapi/base/base.h"
+#include "mindapi/ir/common.h"
+
+namespace mindspore::api {
+template <typename T>
+struct ImmTrait {};
+
+#define MIND_API_IMM_TRAIT(typeimm, prototype) \
+  template <>                                  \
+  struct ImmTrait<prototype> {                 \
+    using type = SharedPtr<typeimm>;           \
+  }
+
+/// \brief Value represents a value in expression.
+class MIND_API Value : public Base {
+ public:
+  MIND_API_BASE_MEMBER(Value);
+
+  /// \brief Get the type of this Value.
+  ///
+  /// \return The type.
+  TypePtr type() const;
+
+  /// \brief Get the abstract of this Value.
+  ///
+  /// \return Abstract of this Value.
+  AbstractBasePtr ToAbstract() const;
+};
+
+/// \brief ValueSequence represents a sequence of values.
+class MIND_API ValueSequence : public Value {
+ public:
+  MIND_API_BASE_MEMBER(ValueSequence);
+
+  /// \brief Get the size of this ValueSequence.
+  ///
+  /// \return The size as the number of elements.
+  std::size_t size() const;
+
+  /// \brief Get the list of values in this ValueSequence.
+  ///
+  /// \return The list of element values.
+  std::vector<ValuePtr> value() const;
+};
+
+using ValueSequencePtr = SharedPtr<ValueSequence>;
+
+/// \brief ValueTuple represents a value tuple.
+class MIND_API ValueTuple : public ValueSequence {
+ public:
+  MIND_API_BASE_MEMBER(ValueTuple);
+
+  /// \brief Constructor of ValueTuple.
+  ///
+  /// \param[in] elements The elements of the tuple.
+  explicit ValueTuple(const std::vector<ValuePtr> &elements);
+};
+
+using ValueTuplePtr = SharedPtr<ValueTuple>;
+
+/// \brief StringImm defines a Value whose type is string.
+class MIND_API StringImm : public Value {
+ public:
+  MIND_API_BASE_MEMBER(StringImm);
+
+  /// \brief Create StringImm with the given string.
+  ///
+  /// \param[in] str The given string value.
+  explicit StringImm(const std::string &str);
+
+  /// \brief Get the string value of this StringImm.
+  ///
+  /// \return The string value of this StringImm.
+  const std::string &value() const;
+};
+
+using StringImmPtr = SharedPtr<StringImm>;
+
+MIND_API_IMM_TRAIT(StringImm, std::string);
+
+/// \beief Scalar defines interface for scalar data.
+class MIND_API Scalar : public Value {
+ public:
+  MIND_API_BASE_MEMBER(Scalar);
+};
+
+/// \beief BoolImm defines interface for bool data.
+class MIND_API BoolImm : public Scalar {
+ public:
+  MIND_API_BASE_MEMBER(BoolImm);
+
+  /// \brief Create BoolImm with the given bool value.
+  ///
+  /// \param[in] b The given bool value.
+  explicit BoolImm(bool b);
+
+  /// \brief Get the bool value of this BoolImm.
+  ///
+  /// \return The bool value of this BoolImm.
+  bool value() const;
+};
+
+using BoolImmPtr = SharedPtr<BoolImm>;
+
+MIND_API_IMM_TRAIT(BoolImm, bool);
+
+/// \beief IntegerImm defines interface for integer data.
+class MIND_API IntegerImm : public Scalar {
+ public:
+  MIND_API_BASE_MEMBER(IntegerImm);
+};
+
+/// \beief Int64Imm defines interface for int64 data.
+class MIND_API Int64Imm : public IntegerImm {
+ public:
+  MIND_API_BASE_MEMBER(Int64Imm);
+
+  /// \brief Create Int64Imm with the given int64 value.
+  ///
+  /// \param[in] value The given bool value.
+  explicit Int64Imm(int64_t value);
+
+  /// \brief Get the int64 value of this Int64Imm.
+  ///
+  /// \return The int64 value of this Int64Imm.
+  int64_t value() const;
+};
+
+using Int64ImmPtr = SharedPtr<Int64Imm>;
+
+MIND_API_IMM_TRAIT(Int64Imm, int64_t);
+
+/// \beief FloatImm defines interface for float data.
+class MIND_API FloatImm : public Scalar {
+ public:
+  MIND_API_BASE_MEMBER(FloatImm);
+};
+
+/// \beief FP32Imm defines interface for float32 data.
+class MIND_API FP32Imm : public FloatImm {
+ public:
+  MIND_API_BASE_MEMBER(FP32Imm);
+
+  /// \brief Create FP32Imm with the given float value.
+  ///
+  /// \param[in] value The given float value.
+  explicit FP32Imm(float value);
+
+  /// \brief Get the float value of this FP32Imm.
+  ///
+  /// \return The float value of this FP32Imm.
+  float value() const;
+};
+
+using FP32ImmPtr = SharedPtr<FP32Imm>;
+
+MIND_API_IMM_TRAIT(FP32Imm, float);
+
+// === Utility functions for Value === //
+
+/// \brief brief Create a Value object from a primitive type value.
+///
+/// \param[in] v The primitive type value.
+///
+/// \return The created Value object with the given primitive type value.
+template <typename T, typename U = typename ImmTrait<T>::type::element_type>
+inline ValuePtr MakeValue(T v) {
+  return MakeShared<U>(v);
+}
+
+/// \brief brief Create a StringImm Value object from a C string.
+///
+/// \param[in] s The C string.
+///
+/// \return The created StringImm Value object.
+inline ValuePtr MakeValue(const char *s) { return MakeShared<StringImm>(std::string(s)); }
+
+/// \brief brief Create a Int64Imm Value object from a int value.
+///
+/// \param[in] i The int value.
+///
+/// \return The created Int64Imm Value object.
+inline ValuePtr MakeValue(int i) { return MakeShared<Int64Imm>(static_cast<int64_t>(i)); }
+
+/// \brief brief Create a ValueSequence object from a vector of values.
+///
+/// \param[in] values The vector of values.
+///
+/// \return The created ValueSequence object.
+inline ValuePtr MakeValue(const std::vector<ValuePtr> &values) { return MakeShared<ValueTuple>(values); }
+
+/// \brief Create a ValueSequence object from a vector of primitive type values.
+///
+/// \param[in] values The vector of primitive values.
+///
+/// \return The created ValueSequence object.
+template <typename T, typename = typename std::enable_if_t<is_vector<T>::value, T>>
+inline ValuePtr MakeValue(const T &values) {
+  std::vector<ValuePtr> value_vector;
+  value_vector.reserve(values.size());
+  for (auto &value : values) {
+    value_vector.emplace_back(MakeValue(value));
+  }
+  return MakeShared<ValueTuple>(value_vector);
+}
+
+/// \brief brief Get primitive type value from a Value object.
+///
+/// \param[in] value The pointer to the Value object.
+///
+/// \return The primitive type value of the Value object.
+template <typename T, typename U = typename ImmTrait<T>::type>
+inline T GetValue(const ValuePtr &value) {
+  if (value == nullptr) {
+    return T();
+  }
+  U imm = value->cast<U>();
+  if (imm == nullptr) {
+    return T();
+  }
+  return imm->value();
+}
+
+/// \brief brief Get primitive element values from a ValueSequeue object.
+///
+/// \param[in] value The pointer to the ValueSequeue object.
+///
+/// \return The primitive type values as a vector.
+template <typename T, typename S = typename std::decay_t<T>,
+          typename U = typename std::enable_if_t<is_vector<S>::value, typename S::value_type>>
+inline std::vector<U> GetValue(const ValuePtr &value) {
+  if (value == nullptr) {
+    return {};
+  }
+  auto seq = value->cast<ValueSequencePtr>();
+  if (seq == nullptr) {
+    return {};
+  }
+  auto elements = seq->value();
+  std::vector<U> result;
+  result.reserve(elements.size());
+  for (auto &e : elements) {
+    result.emplace_back(GetValue<U>(e));
+  }
+  return result;
+}
+}  // namespace mindspore::api
+#endif  // MINDSPORE_CORE_MINDAPI_IR_VALUE_H_

mindspore/core/mindapi/src/abstract.cc

@@ -0,0 +1,84 @@
+/**
+ * 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.
+ */
+
+#include "mindapi/ir/abstract.h"
+#include "mindapi/src/helper.h"
+#include "abstract/abstract_value.h"
+#include "ir/dtype.h"
+#include "ir/value.h"
+
+namespace mindspore::api {
+using TypeImpl = mindspore::Type;
+using ValueImpl = mindspore::Value;
+using AbstractBaseImpl = mindspore::abstract::AbstractBase;
+
+MIND_API_BASE_IMPL(AbstractBase, AbstractBaseImpl, Base);
+
+AbstractBasePtr AbstractBase::Clone() const {
+  auto abs = ToRef<AbstractBaseImpl>(impl_).Clone();
+  return ToWrapper<AbstractBase>(abs);
+}
+
+TypePtr AbstractBase::type() const {
+  auto t = ToRef<AbstractBaseImpl>(impl_).BuildType();
+  return ToWrapper<Type>(t);
+}
+
+ValuePtr AbstractBase::value() const {
+  auto v = ToRef<AbstractBaseImpl>(impl_).BuildValue();
+  return ToWrapper<Value>(v);
+}
+
+void AbstractBase::set_type(const TypePtr &type) {
+  auto type_impl = ToImpl<TypeImpl>(type);
+  ToRef<AbstractBaseImpl>(impl_).set_type(type_impl);
+}
+
+void AbstractBase::set_value(const ValuePtr &value) {
+  auto value_impl = ToImpl<ValueImpl>(value);
+  ToRef<AbstractBaseImpl>(impl_).set_value(value_impl);
+}
+
+using AbstractTensorImpl = mindspore::abstract::AbstractTensor;
+
+MIND_API_BASE_IMPL(AbstractTensor, AbstractTensorImpl, AbstractBase);
+
+AbstractTensor::AbstractTensor(TypeId type, const ShapeVector &shape)
+    : AbstractBase(std::make_shared<AbstractTensorImpl>(mindspore::TypeIdToType(type), shape)) {}
+
+AbstractBasePtr AbstractTensor::element() const {
+  auto abs = ToRef<AbstractTensorImpl>(impl_).element();
+  return ToWrapper<AbstractBase>(abs);
+}
+
+ShapePtr AbstractTensor::shape() const {
+  auto s = ToRef<AbstractTensorImpl>(impl_).shape();
+  return ToWrapper<Shape>(s);
+}
+
+using AbstractSequenceImpl = mindspore::abstract::AbstractSequeue;
+
+MIND_API_BASE_IMPL(AbstractSequence, AbstractSequenceImpl, AbstractBase);
+
+AbstractBasePtrList AbstractSequence::elements() const {
+  auto &impl_elements = ToRef<AbstractSequenceImpl>(impl_).elements();
+  return ToWrapperVector<AbstractBase>(impl_elements);
+}
+
+using AbstractTupleImpl = mindspore::abstract::AbstractTuple;
+
+MIND_API_BASE_IMPL(AbstractTuple, AbstractTupleImpl, AbstractSequence);
+}  // namespace mindspore::api

mindspore/core/mindapi/src/anf.cc

@@ -0,0 +1,135 @@
+/**
+ * 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.
+ */
+
+#include "mindapi/ir/anf.h"
+#include "mindapi/src/helper.h"
+#include "ir/anf.h"
+#include "ir/value.h"
+#include "ir/primitive.h"
+#include "abstract/abstract_value.h"
+
+namespace mindspore::api {
+using ValueImpl = mindspore::Value;
+using AnfNodeImpl = mindspore::AnfNode;
+using PrimitiveImpl = mindspore::Primitive;
+using AbstractBaseImpl = mindspore::abstract::AbstractBase;
+
+MIND_API_BASE_IMPL(AnfNode, AnfNodeImpl, Base);
+
+std::string AnfNode::fullname_with_scope() const { return ToRef<AnfNodeImpl>(impl_).fullname_with_scope(); }
+
+AbstractBasePtr AnfNode::abstract() const {
+  const auto &abs = ToRef<AnfNodeImpl>(impl_).abstract();
+  return ToWrapper<AbstractBase>(abs);
+}
+
+void AnfNode::set_abstract(const AbstractBasePtr &abs) {
+  ToRef<AnfNodeImpl>(impl_).set_abstract(ToImpl<AbstractBaseImpl>(abs));
+}
+
+using CNodeImpl = mindspore::CNode;
+
+MIND_API_BASE_IMPL(CNode, CNodeImpl, AnfNode);
+
+size_t CNode::size() const { return ToRef<CNodeImpl>(impl_).size(); }
+
+AnfNodePtr CNode::input(size_t i) const {
+  auto &input = ToRef<CNodeImpl>(impl_).input(i);
+  return ToWrapper<AnfNode>(input);
+}
+
+std::vector<AnfNodePtr> CNode::inputs() const {
+  auto &impl_inputs = ToRef<CNodeImpl>(impl_).inputs();
+  return ToWrapperVector<AnfNode>(impl_inputs);
+}
+
+void CNode::set_inputs(const std::vector<AnfNodePtr> &inputs) {
+  auto impl_inputs = ToImplVector<AnfNodeImpl>(inputs);
+  ToRef<CNodeImpl>(impl_).set_inputs(impl_inputs);
+}
+
+void CNode::add_input(const AnfNodePtr &input) {
+  auto impl_input = ToImpl<AnfNodeImpl>(input);
+  MS_EXCEPTION_IF_NULL(impl_input);
+  ToRef<CNodeImpl>(impl_).add_input(impl_input);
+}
+
+void CNode::set_fullname_with_scope(const std::string &full_name) {
+  ToRef<CNodeImpl>(impl_).set_fullname_with_scope(full_name);
+}
+
+void CNode::AddAttr(const std::string &name, const ValuePtr &attr) {
+  auto impl_attr = ToImpl<ValueImpl>(attr);
+  MS_EXCEPTION_IF_NULL(impl_attr);
+  ToRef<CNodeImpl>(impl_).AddAttr(name, impl_attr);
+}
+
+void CNode::EraseAttr(const std::string &name) { ToRef<CNodeImpl>(impl_).EraseAttr(name); }
+
+ValuePtr CNode::GetAttr(const std::string &name) const {
+  auto v = ToRef<CNodeImpl>(impl_).GetAttr(name);
+  return ToWrapper<Value>(v);
+}
+
+using ParameterImpl = mindspore::Parameter;
+
+MIND_API_BASE_IMPL(Parameter, ParameterImpl, AnfNode);
+
+std::string Parameter::name() const { return ToRef<ParameterImpl>(impl_).name(); }
+
+void Parameter::set_name(const std::string &name) { ToRef<ParameterImpl>(impl_).set_name(name); }
+
+bool Parameter::has_default() const { return ToRef<ParameterImpl>(impl_).has_default(); }
+
+void Parameter::set_default_param(const ValuePtr &param) {
+  auto v = ToImpl<ValueImpl>(param);
+  ToRef<ParameterImpl>(impl_).set_default_param(v);
+}
+
+ValuePtr Parameter::default_param() const {
+  auto v = ToRef<ParameterImpl>(impl_).default_param();
+  return ToWrapper<Value>(v);
+}
+
+using ValueNodeImpl = mindspore::ValueNode;
+
+MIND_API_BASE_IMPL(ValueNode, ValueNodeImpl, AnfNode);
+
+ValueNode::ValueNode(const ValuePtr &value) : AnfNode(std::make_shared<ValueNodeImpl>(ToImpl<ValueImpl>(value))) {}
+
+ValuePtr ValueNode::value() const {
+  auto v = ToRef<ValueNodeImpl>(impl_).value();
+  return ToWrapper<Value>(v);
+}
+
+bool IsPrimitiveCNode(const AnfNodePtr &node, const PrimitivePtr &prim) {
+  auto node_impl = ToImpl<AnfNodeImpl>(node);
+  auto prim_impl = ToImpl<PrimitiveImpl>(prim);
+  return mindspore::IsPrimitiveCNode(node_impl, prim_impl);
+}
+
+bool IsPrimitive(const AnfNodePtr &node, const PrimitivePtr &prim) {
+  auto node_impl = ToImpl<AnfNodeImpl>(node);
+  auto prim_impl = ToImpl<PrimitiveImpl>(prim);
+  return mindspore::IsPrimitive(node_impl, prim_impl);
+}
+
+bool IsDataNode(const AnfNodePtr &node) {
+  auto node_impl = ToImpl<AnfNodeImpl>(node);
+  // We assume that node with monad abstract is not a data node.
+  return !HasAbstractMonad(node_impl);
+}
+}  // namespace mindspore::api

mindspore/core/mindapi/src/base.cc

@@ -0,0 +1,28 @@
+/**
+ * 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.
+ */
+
+#include "mindapi/base/base.h"
+#include "base/base.h"
+
+namespace mindspore::api {
+Base::Base(const std::shared_ptr<mindspore::Base> &impl) : impl_(impl) { MS_EXCEPTION_IF_NULL(impl_); }
+
+uint32_t Base::ClassId() { return mindspore::Base::kTypeId; }
+
+bool Base::IsFromClassId(uint32_t class_id) const { return impl_->IsFromTypeId(class_id); }
+
+std::string Base::ToString() const { return impl_->ToString(); }
+}  // namespace mindspore::api

mindspore/core/mindapi/src/func_graph.cc

@@ -0,0 +1,170 @@
+/**
+ * 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.
+ */
+
+#include <algorithm>
+#include "mindapi/ir/func_graph.h"
+#include "mindapi/src/helper.h"
+#define USE_DEPRECATED_API
+#include "ir/anf.h"
+#include "ir/value.h"
+#include "ir/func_graph.h"
+#include "ir/manager.h"
+#include "ir/primitive.h"
+#include "ir/graph_utils.h"
+
+namespace mindspore::api {
+using ValueImpl = mindspore::Value;
+using AnfNodeImpl = mindspore::AnfNode;
+using CNodeImpl = mindspore::CNode;
+using PrimitiveImpl = mindspore::Primitive;
+using ParameterImpl = mindspore::Parameter;
+using FuncGraphImpl = mindspore::FuncGraph;
+using FuncGraphManagerImpl = mindspore::FuncGraphManager;
+
+MIND_API_BASE_IMPL(FuncGraph, FuncGraphImpl, Value);
+
+std::vector<AnfNodePtr> FuncGraph::get_inputs() const {
+  auto &inputs = ToRef<FuncGraphImpl>(impl_).get_inputs();
+  return ToWrapperVector<AnfNode>(inputs);
+}
+
+std::vector<AnfNodePtr> FuncGraph::parameters() const {
+  auto &params = ToRef<FuncGraphImpl>(impl_).parameters();
+  return ToWrapperVector<AnfNode>(params);
+}
+
+void FuncGraph::add_parameter(const ParameterPtr &p) {
+  auto param_impl = ToImpl<ParameterImpl>(p);
+  ToRef<FuncGraphImpl>(impl_).add_parameter(param_impl);
+}
+
+ParameterPtr FuncGraph::add_parameter() {
+  auto param_impl = ToRef<FuncGraphImpl>(impl_).add_parameter();
+  return ToWrapper<Parameter>(param_impl);
+}
+
+AnfNodePtr FuncGraph::output() const {
+  auto output = ToRef<FuncGraphImpl>(impl_).output();
+  return ToWrapper<AnfNode>(output);
+}
+
+CNodePtr FuncGraph::get_return() const {
+  auto ret = ToRef<FuncGraphImpl>(impl_).get_return();
+  return ToWrapper<CNode>(ret);
+}
+
+void FuncGraph::set_output(const AnfNodePtr &value, bool force_new_ret) {
+  auto output = ToImpl<AnfNodeImpl>(value);
+  ToRef<FuncGraphImpl>(impl_).set_output(output);
+}
+
+void FuncGraph::set_return(const CNodePtr &cnode) {
+  auto cnode_impl = ToImpl<CNodeImpl>(cnode);
+  ToRef<FuncGraphImpl>(impl_).set_return(cnode_impl);
+}
+
+CNodePtr FuncGraph::NewCNode(const std::vector<AnfNodePtr> &inputs) {
+  auto inputs_impl = ToImplVector<AnfNodeImpl>(inputs);
+  auto cnode_impl = ToRef<FuncGraphImpl>(impl_).NewCNode(std::move(inputs_impl));
+  return ToWrapper<CNode>(cnode_impl);
+}
+
+CNodePtr FuncGraph::NewCNode(const PrimitivePtr &primitive, const std::vector<AnfNodePtr> &prim_inputs) {
+  auto prim_impl = ToImpl<PrimitiveImpl>(primitive);
+  auto prim_inputs_impl = ToImplVector<AnfNodeImpl>(prim_inputs);
+  auto cnode_impl = ToRef<FuncGraphImpl>(impl_).NewCNode(prim_impl, prim_inputs_impl);
+  return ToWrapper<CNode>(cnode_impl);
+}
+
+std::vector<AnfNodePtr> FuncGraph::nodes() const {
+  auto &nodes = ToRef<FuncGraphImpl>(impl_).nodes();
+  return ToWrapperVector<AnfNode>(nodes);
+}
+
+bool FuncGraph::has_attr(const std::string &key) const { return ToRef<FuncGraphImpl>(impl_).has_attr(key); }
+
+ValuePtr FuncGraph::get_attr(const std::string &key) const {
+  auto v = ToRef<FuncGraphImpl>(impl_).get_attr(key);
+  return ToWrapper<Value>(v);
+}
+
+void FuncGraph::set_attr(const std::string &key, const ValuePtr &value) {
+  auto value_impl = ToImpl<ValueImpl>(value);
+  ToRef<FuncGraphImpl>(impl_).set_attr(key, value_impl);
+}
+
+FuncGraphManagerPtr FuncGraph::manager() const {
+  auto manager = ToRef<FuncGraphImpl>(impl_).manager();
+  if (manager == nullptr) {
+    return nullptr;
+  }
+  return MakeShared<FuncGraphManager>(manager);
+}
+
+FuncGraphPtr FuncGraph::Create() {
+  auto fg = std::make_shared<FuncGraphImpl>();
+  return ToWrapper<FuncGraph>(fg);
+}
+
+std::vector<AnfNodePtr> FuncGraph::TopoSort(const AnfNodePtr &node) {
+  auto node_impl = ToImpl<AnfNodeImpl>(node);
+  if (node_impl == nullptr) {
+    return {};
+  }
+  auto sorted = mindspore::TopoSort(node_impl);
+  return ToWrapperVector<AnfNode>(sorted);
+}
+
+// FuncGraphManager is not derived from Base, we implement it directly.
+FuncGraphManager::FuncGraphManager(const std::shared_ptr<mindspore::FuncGraphManager> &impl) : impl_(impl) {
+  MS_EXCEPTION_IF_NULL(impl_);
+}
+
+bool FuncGraphManager::Replace(const AnfNodePtr &old_node, const AnfNodePtr &new_node) {
+  return impl_->Replace(ToImpl<AnfNodeImpl>(old_node), ToImpl<AnfNodeImpl>(new_node));
+}
+
+void FuncGraphManager::SetEdge(const AnfNodePtr &node, int index, const AnfNodePtr &value) {
+  return impl_->SetEdge(ToImpl<AnfNodeImpl>(node), index, ToImpl<AnfNodeImpl>(value));
+}
+
+void FuncGraphManager::AddEdge(const AnfNodePtr &node, const AnfNodePtr &value) {
+  return impl_->AddEdge(ToImpl<AnfNodeImpl>(node), ToImpl<AnfNodeImpl>(value));
+}
+
+std::vector<std::pair<AnfNodePtr, int>> FuncGraphManager::GetUsers(const AnfNodePtr &node) const {
+  auto &node_users = impl_->node_users();
+  auto iter = node_users.find(ToImpl<AnfNodeImpl>(node));
+  if (iter == node_users.end()) {
+    return {};
+  }
+  auto &users_impl = iter->second;
+  std::vector<std::pair<AnfNodePtr, int>> users;
+  users.reserve(users_impl.size());
+  std::transform(users_impl.begin(), users_impl.end(), std::back_inserter(users),
+                 [](const auto &user) { return std::make_pair(ToWrapper<AnfNode>(user.first), user.second); });
+  return users;
+}
+
+FuncGraphManagerPtr FuncGraphManager::Manage(const FuncGraphPtr &func_graph, bool manage) {
+  auto fg_impl = ToImpl<FuncGraphImpl>(func_graph);
+  auto mgr_impl = mindspore::Manage(fg_impl, manage);
+  if (mgr_impl == nullptr) {
+    return nullptr;
+  }
+  return MakeShared<FuncGraphManager>(mgr_impl);
+}
+}  // namespace mindspore::api

mindspore/core/mindapi/src/helper.h

@@ -0,0 +1,76 @@
+/**
+ * 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_CORE_MINDAPI_IMPL_HELPER_H_
+#define MINDSPORE_CORE_MINDAPI_IMPL_HELPER_H_
+
+#include <memory>
+#include <vector>
+#include <type_traits>
+#include "mindapi/base/base.h"
+
+namespace mindspore::api {
+template <typename T, typename U>
+T &ToRef(const std::shared_ptr<U> &ptr) {
+  return static_cast<T &>(*ptr);
+}
+
+template <typename T, typename U, typename = typename std::enable_if_t<std::is_base_of_v<mindspore::Base, T>>,
+          typename = typename std::enable_if_t<std::is_base_of_v<Base, U>>>
+std::shared_ptr<T> ToImpl(const SharedPtr<U> &wrapper) {
+  if (wrapper == nullptr || wrapper->impl() == nullptr) {
+    return nullptr;
+  }
+  return std::dynamic_pointer_cast<T>(wrapper->impl());
+}
+
+template <typename T, typename = typename std::enable_if_t<std::is_base_of_v<Base, T>>>
+SharedPtr<T> ToWrapper(const std::shared_ptr<mindspore::Base> &impl) {
+  if (impl == nullptr) {
+    return nullptr;
+  }
+  return MakeShared<T>(impl);
+}
+
+template <typename T, typename U>
+std::vector<std::shared_ptr<T>> ToImplVector(const U &wrapper_vector) {
+  std::vector<std::shared_ptr<T>> impl_vector;
+  impl_vector.reserve(wrapper_vector.size());
+  for (auto &wrapper : wrapper_vector) {
+    impl_vector.emplace_back(ToImpl<T>(wrapper));
+  }
+  return impl_vector;
+}
+
+template <typename T, typename U>
+std::vector<SharedPtr<T>> ToWrapperVector(const U &impl_vector) {
+  std::vector<SharedPtr<T>> wrapper_vector;
+  wrapper_vector.reserve(impl_vector.size());
+  for (auto &impl : impl_vector) {
+    wrapper_vector.emplace_back(ToWrapper<T>(impl));
+  }
+  return wrapper_vector;
+}
+
+#define MIND_API_BASE_IMPL(current_class, impl_class, base_class)                                 \
+  current_class::current_class(const std::shared_ptr<mindspore::Base> &impl) : base_class(impl) { \
+    if (!impl_->isa<impl_class>()) {                                                              \
+      MS_LOG(EXCEPTION) << "Wrong impl " << impl_->type_name() << " for " << #current_class;      \
+    }                                                                                             \
+  }                                                                                               \
+  uint32_t current_class::ClassId() { return impl_class::kTypeId; }
+}  // namespace mindspore::api
+#endif  // MINDSPORE_CORE_MINDAPI_IMPL_HELPER_H_

mindspore/core/mindapi/src/logging.cc

@@ -0,0 +1,75 @@
+/**
+ * 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.
+ */
+
+#define MIND_LOG_NO_MS_LOG
+#include "mindapi/base/logging.h"
+#include "utils/log_adapter.h"
+
+namespace mindspore::api {
+static MsLogLevel ToMsLogLevel(LogLevel level) {
+  switch (level) {
+    case LogLevel::DEBUG:
+      return MsLogLevel::DEBUG;
+    case LogLevel::INFO:
+      return MsLogLevel::INFO;
+    case LogLevel::WARNING:
+      return MsLogLevel::WARNING;
+    case LogLevel::ERROR:
+      return MsLogLevel::ERROR;
+    case LogLevel::EXCEPTION:
+      return MsLogLevel::EXCEPTION;
+    default:
+      return MsLogLevel::EXCEPTION;
+  }
+}
+
+class LogWriterImpl {
+ public:
+  LogWriterImpl(LogLevel level, const char *file, int line, const char *func)
+      : writer_(LocationInfo(file, line, func), ToMsLogLevel(level), SubModuleId::SM_API) {}
+
+  ~LogWriterImpl() = default;
+
+  void Write(const LogStream &stream) const noexcept {
+    mindspore::LogStream log_stream;
+    log_stream << stream.stream_.rdbuf();
+    writer_ < log_stream;
+  }
+
+  void WriteAndThrow(const LogStream &stream) const __attribute__((noreturn)) {
+    mindspore::LogStream log_stream;
+    log_stream << stream.stream_.rdbuf();
+    writer_ ^ log_stream;
+  }
+
+ private:
+  mindspore::LogWriter writer_;
+};
+
+LogWriter::LogWriter(LogLevel level, const char *file, int line, const char *func)
+    : impl_(std::make_unique<LogWriterImpl>(level, file, line, func)) {}
+
+LogWriter::~LogWriter() = default;
+
+void LogWriter::operator<(const LogStream &stream) const noexcept { impl_->Write(stream); }
+
+void LogWriter::operator^(const LogStream &stream) const { impl_->WriteAndThrow(stream); }
+
+bool LogWriter::IsEnabled(LogLevel level) {
+  auto log_level = ToMsLogLevel(level);
+  return IS_OUTPUT_ON(log_level);
+}
+}  // namespace mindspore::api

mindspore/core/mindapi/src/primitive.cc

@@ -0,0 +1,65 @@
+/**
+ * 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.
+ */
+
+#include "mindapi/ir/primitive.h"
+#include "mindapi/src/helper.h"
+#include "ir/primitive.h"
+#include "ir/value.h"
+
+namespace mindspore::api {
+using ValueImpl = mindspore::Value;
+using PrimitiveImpl = mindspore::Primitive;
+
+MIND_API_BASE_IMPL(Primitive, PrimitiveImpl, Value);
+
+Primitive::Primitive(const std::string &name) : Value(std::make_shared<PrimitiveImpl>(name)) {}
+
+const std::string &Primitive::name() const { return ToRef<PrimitiveImpl>(impl_).name(); }
+
+Primitive &Primitive::AddAttr(const std::string &name, const ValuePtr &attr) {
+  auto value = ToImpl<ValueImpl>(attr);
+  ToRef<PrimitiveImpl>(impl_).set_attr(name, value);
+  return *this;
+}
+
+Primitive &Primitive::SetAttrs(const std::unordered_map<std::string, ValuePtr> &attrs) {
+  for (auto &attr : attrs) {
+    auto value = ToImpl<ValueImpl>(attr.second);
+    ToRef<PrimitiveImpl>(impl_).set_attr(attr.first, value);
+  }
+  return *this;
+}
+
+void Primitive::EraseAttr(const std::string &name) { ToRef<PrimitiveImpl>(impl_).EraseAttr(name); }
+
+ValuePtr Primitive::GetAttr(const std::string &name) const {
+  auto v = ToRef<PrimitiveImpl>(impl_).GetAttr(name);
+  return ToWrapper<Value>(v);
+}
+
+bool Primitive::HasAttr(const std::string &name) const { return ToRef<PrimitiveImpl>(impl_).HasAttr(name); }
+
+std::unordered_map<std::string, ValuePtr> Primitive::attrs() const {
+  std::unordered_map<std::string, ValuePtr> attr_map;
+  auto &impl_attrs = ToRef<PrimitiveImpl>(impl_).attrs();
+  attr_map.reserve(impl_attrs.size());
+  for (auto &attr : impl_attrs) {
+    auto value = ToWrapper<Value>(attr.second);
+    attr_map.emplace(attr.first, value);
+  }
+  return attr_map;
+}
+}  // namespace mindspore::api

mindspore/core/mindapi/src/shape.cc

@@ -0,0 +1,27 @@
+/**
+ * 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.
+ */
+
+#include "mindapi/ir/shape.h"
+#include "mindapi/src/helper.h"
+#include "abstract/dshape.h"
+
+namespace mindspore::api {
+using ShapeImpl = mindspore::abstract::Shape;
+
+MIND_API_BASE_IMPL(Shape, ShapeImpl, Base);
+
+const ShapeVector &Shape::shape() const { return ToRef<ShapeImpl>(impl_).shape(); }
+}  // namespace mindspore::api

mindspore/core/mindapi/src/tensor.cc

@@ -0,0 +1,47 @@
+/**
+ * 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.
+ */
+
+#include <memory>
+#include "mindapi/ir/tensor.h"
+#include "mindapi/src/helper.h"
+#include "ir/tensor.h"
+
+namespace mindspore::api {
+using TensorImpl = mindspore::tensor::Tensor;
+
+MIND_API_BASE_IMPL(Tensor, TensorImpl, Value);
+
+Tensor::Tensor(TypeId data_type, const ShapeVector &shape) : Value(std::make_shared<TensorImpl>(data_type, shape)) {}
+
+Tensor::Tensor(TypeId data_type, const ShapeVector &shape, void *data, size_t data_len)
+    : Value(std::make_shared<TensorImpl>(data_type, shape, data, data_len)) {}
+
+const ShapeVector &Tensor::shape() const { return ToRef<TensorImpl>(impl_).shape(); }
+
+void Tensor::set_shape(const ShapeVector &shape) { (void)ToRef<TensorImpl>(impl_).set_shape(shape); }
+
+TypeId Tensor::data_type() const { return ToRef<TensorImpl>(impl_).data_type(); }
+
+void Tensor::set_data_type(const TypeId data_type) { (void)ToRef<TensorImpl>(impl_).set_data_type(data_type); }
+
+const void *Tensor::data() const { return ToRef<TensorImpl>(impl_).data_c(); }
+
+void *Tensor::data() { return ToRef<TensorImpl>(impl_).data_c(); }
+
+int Tensor::DataSize() const { return ToRef<TensorImpl>(impl_).DataSize(); }
+
+size_t Tensor::Size() const { return ToRef<TensorImpl>(impl_).Size(); }
+}  // namespace mindspore::api

mindspore/core/mindapi/src/type.cc

@@ -0,0 +1,39 @@
+/**
+ * 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.
+ */
+
+#include "mindapi/ir/type.h"
+#include "mindapi/ir/value.h"
+#include "mindapi/src/helper.h"
+#include "ir/dtype/type.h"
+#include "ir/dtype.h"
+#include "abstract/utils.h"
+
+namespace mindspore::api {
+using TypeImpl = mindspore::Type;
+
+MIND_API_BASE_IMPL(Type, TypeImpl, Value);
+
+TypeId Type::type_id() const { return ToRef<TypeImpl>(impl_).type_id(); }
+
+TypeId Type::number_type() const { return ToRef<TypeImpl>(impl_).number_type(); }
+
+TypePtr Type::GetType(TypeId id) {
+  auto type_impl = mindspore::TypeIdToType(id);
+  return ToWrapper<Type>(type_impl);
+}
+
+size_t Type::GetSize(TypeId id) { return mindspore::abstract::TypeIdSize(id); }
+}  // namespace mindspore::api

mindspore/core/mindapi/src/utils.cc

@@ -0,0 +1,43 @@
+/**
+ * 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.
+ */
+
+#include "mindapi/ir/utils.h"
+#include "mindapi/src/helper.h"
+#define USE_DEPRECATED_API
+#include "ir/anf.h"
+#include "ir/value.h"
+#include "ir/func_graph_cloner.h"
+#include "utils/check_convert_utils.h"
+
+namespace mindspore::api::utils {
+using ValueImpl = mindspore::Value;
+using FuncGraphImpl = mindspore::FuncGraph;
+
+MIND_API FuncGraphPtr CloneGraph(const FuncGraphPtr &func_graph) {
+  MS_EXCEPTION_IF_NULL(func_graph);
+  auto fg_impl = ToImpl<FuncGraphImpl>(func_graph);
+  Cloner cloner({fg_impl}, false, true, true, std::make_shared<TraceCopy>(), nullptr);
+  auto cloned_fg = cloner[fg_impl];
+  return ToWrapper<api::FuncGraph>(cloned_fg);
+}
+
+int64_t GetPadMode(const api::ValuePtr &value, bool is_upper) {
+  int64_t result;
+  auto value_impl = ToImpl<ValueImpl>(value);
+  CheckAndConvertUtils::GetPadModEnumValue(value_impl, &result, is_upper);
+  return result;
+}
+}  // namespace mindspore::api::utils

mindspore/core/mindapi/src/value.cc

@@ -0,0 +1,94 @@
+/**
+ * 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.
+ */
+
+#include "mindapi/ir/value.h"
+#include "mindapi/ir/type.h"
+#include "mindapi/ir/abstract.h"
+#include "mindapi/src/helper.h"
+#include "abstract/abstract_value.h"
+#include "ir/anf.h"
+#include "ir/dtype/type.h"
+#include "ir/value.h"
+#include "ir/scalar.h"
+
+namespace mindspore::api {
+using ValueImpl = mindspore::Value;
+using ValueSequenceImpl = mindspore::ValueSequeue;  // 'Sequeue' is typo.
+using ValueTupleImpl = mindspore::ValueTuple;
+using StringImmImpl = mindspore::StringImm;
+using ScalarImpl = mindspore::Scalar;
+using BoolImmImpl = mindspore::BoolImm;
+using IntegerImmImpl = mindspore::IntergerImm;  // 'Interger' is typo.
+using Int64ImmImpl = mindspore::Int64Imm;
+using FloatImmImpl = mindspore::FloatImm;
+using FP32ImmImpl = mindspore::FP32Imm;
+
+MIND_API_BASE_IMPL(Value, ValueImpl, Base);
+
+TypePtr Value::type() const {
+  auto t = ToRef<ValueImpl>(impl_).type();
+  return ToWrapper<Type>(t);
+}
+
+AbstractBasePtr Value::ToAbstract() const {
+  auto abs = ToRef<ValueImpl>(impl_).ToAbstract();
+  return ToWrapper<AbstractBase>(abs);
+}
+
+MIND_API_BASE_IMPL(ValueSequence, ValueSequenceImpl, Value);
+
+std::size_t ValueSequence::size() const { return ToRef<ValueSequenceImpl>(impl_).size(); }
+
+std::vector<ValuePtr> ValueSequence::value() const {
+  auto &elements = ToRef<ValueSequenceImpl>(impl_).value();
+  return ToWrapperVector<Value>(elements);
+}
+
+MIND_API_BASE_IMPL(ValueTuple, ValueTupleImpl, ValueSequence);
+
+ValueTuple::ValueTuple(const std::vector<ValuePtr> &elements)
+    : ValueSequence(std::make_shared<ValueTupleImpl>(ToImplVector<ValueImpl>(elements))) {}
+
+MIND_API_BASE_IMPL(StringImm, StringImmImpl, Value);
+
+StringImm::StringImm(const std::string &str) : Value(std::make_shared<StringImmImpl>(str)) {}
+
+const std::string &StringImm::value() const { return ToRef<StringImmImpl>(impl_).value(); }
+
+MIND_API_BASE_IMPL(Scalar, ScalarImpl, Value);
+
+MIND_API_BASE_IMPL(BoolImm, BoolImmImpl, Scalar);
+
+BoolImm::BoolImm(bool b) : Scalar(std::make_shared<BoolImmImpl>(b)) {}
+
+bool BoolImm::value() const { return ToRef<BoolImmImpl>(impl_).value(); }
+
+MIND_API_BASE_IMPL(IntegerImm, IntegerImmImpl, Scalar);
+
+MIND_API_BASE_IMPL(Int64Imm, Int64ImmImpl, IntegerImm);
+
+Int64Imm::Int64Imm(int64_t value) : IntegerImm(std::make_shared<Int64ImmImpl>(value)) {}
+
+int64_t Int64Imm::value() const { return ToRef<Int64ImmImpl>(impl_).value(); }
+
+MIND_API_BASE_IMPL(FloatImm, FloatImmImpl, Scalar);
+
+MIND_API_BASE_IMPL(FP32Imm, FP32ImmImpl, FloatImm);
+
+FP32Imm::FP32Imm(float value) : FloatImm(std::make_shared<FP32ImmImpl>(value)) {}
+
+float FP32Imm::value() const { return ToRef<FP32ImmImpl>(impl_).value(); }
+}  // namespace mindspore::api

mindspore/core/utils/log_adapter.h

@@ -141,6 +141,7 @@ enum SubModuleId : int {
   SM_HCCL_ADPT,          // Hccl Adapter
   SM_RUNTIME_FRAMEWORK,  // Runtime framework
   SM_GE,                 // GraphEngine
+  SM_API,                // MindAPI
   NUM_SUBMODUES          // number of submodules
 };
 

mindspore/core/utils/shape_utils.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * 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.
@@ -17,7 +17,6 @@
 #ifndef MINDSPORE_SHAPE_UTILS_INFO_H_
 #define MINDSPORE_SHAPE_UTILS_INFO_H_
 
-#include <vector>
-using ShapeVector = std::vector<int64_t>;
+#include "mindapi/base/shape_vector.h"
 
 #endif  // MINDSPORE_SHAPE_UTILS_INFO_H_

mindspore/lite/cmake/file_list.cmake

@@ -16,6 +16,8 @@ set(API_IR_HEADER
         ${CORE_DIR}/api/ir/func_graph.h
         ${CORE_DIR}/api/ir/func_graph_manager.h
         )
+file(GLOB MINDAPI_BASE_HEADER ${CORE_DIR}/mindapi/base/*.h)
+file(GLOB MINDAPI_IR_HEADER ${CORE_DIR}/mindapi/ir/*.h)
 set(BASE_HEADER
         ${CORE_DIR}/base/base.h
         ${CORE_DIR}/base/base_ref.h

mindspore/lite/examples/train_lenet/Makefile

@@ -15,6 +15,7 @@ OBJ:=$(SRC:.cc=.o)
 CFLAGS := -Ofast -std=c++17  \
 	-I . \
         -I ./msl/runtime \
+        -I ./msl/runtime/include \
         -I ./msl/runtime/minddata \
         -I ./msl/tools/third_party/flatbuffers/include
 

mindspore/lite/examples/transfer_learning/Makefile

@@ -15,6 +15,7 @@ OBJ:=$(SRC:.cc=.o)
 CFLAGS := -Ofast -std=c++17  \
 	-I . \
         -I ./msl/runtime \
+        -I ./msl/runtime/include \
         -I ./msl/runtime/minddata \
         -I ./msl/tools/third_party/flatbuffers/include
 

mindspore/lite/examples/unified_api/Makefile

@@ -19,6 +19,7 @@ INF_OBJ:=$(INF_SRC:.cc=.o)
 CFLAGS := -Ofast -std=c++17  \
 	-I . \
         -I ./msl/runtime \
+        -I ./msl/runtime/include \
         -I ./msl/runtime/minddata \
         -I ./msl/tools/third_party/flatbuffers/include
 

mindspore/lite/src/CMakeLists.txt

@@ -289,6 +289,9 @@ if(APPLE)
     set(MINDSPORE_LITE_PUB_HDRS_IR_HDRS
             ${CMAKE_CURRENT_SOURCE_DIR}/../../core/ir/dtype/type_id.h
             )
+    set(MINDSPORE_LITE_PUB_HDRS_MINDAPI_HDRS
+            ${CMAKE_CURRENT_SOURCE_DIR}/../../core/mindapi/base/type_id.h
+            )
     add_library(mindspore-lite_static STATIC
             ${LITE_SRC}
             ${MINDSPORE_LITE_PUB_HDRS}
@@ -423,6 +426,9 @@ if(DEFINED ARCHS)
     FOREACH(HDR ${MINDSPORE_LITE_PUB_HDRS_IR_HDRS})
         SET_SOURCE_FILES_PROPERTIES(${HDR} PROPERTIES MACOSX_PACKAGE_LOCATION Headers/include/ir/dtype/)
     ENDFOREACH()
+    FOREACH(HDR ${MINDSPORE_LITE_PUB_HDRS_MINDAPI_HDRS})
+        SET_SOURCE_FILES_PROPERTIES(${HDR} PROPERTIES MACOSX_PACKAGE_LOCATION Headers/include/mindapi/base/)
+    ENDFOREACH()
     target_link_libraries(mindspore-lite_static)
 endif()
 

tests/ut/cpp/CMakeLists.txt

@@ -71,6 +71,7 @@ if(ENABLE_MINDDATA)
             ./fl/*.cc
             ./cxx_api/*.cc
             ./tbe/*.cc
+            ./mindapi/*.cc
             )
     if(NOT ENABLE_SECURITY)
         file(GLOB_RECURSE UT_SRCS_DEBUG RELATIVE ${CMAKE_CURRENT_SOURCE_DIR}

tests/ut/cpp/mindapi/mindapi_test.cc

@@ -0,0 +1,394 @@
+/**
+ * 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.
+ */
+#include <cmath>
+#include <memory>
+#include <sstream>
+#include <unordered_map>
+#include "common/common_test.h"
+#include "mindapi/base/logging.h"
+#include "mindapi/ir/func_graph.h"
+#include "mindapi/ir/tensor.h"
+#include "mindapi/ir/utils.h"
+
+namespace mindspore::api {
+class TestMindApi : public UT::Common {
+ public:
+  TestMindApi() = default;
+};
+
+/// Feature: MindAPI
+/// Description: test basic 'is()' 'cast()'
+/// Expectation: is/cast works correctly.
+TEST_F(TestMindApi, test_base_isa_cast) {
+  auto value_node = MakeShared<ValueNode>(MakeValue(0));
+  auto base = MakeShared<Base>(value_node->impl());
+  ASSERT_TRUE(base->isa<Base>());
+  ASSERT_TRUE(base->isa<AnfNode>());
+  ASSERT_TRUE(base->isa<ValueNode>());
+  ASSERT_FALSE(base->isa<AbstractBase>());
+  auto anf_node = base->cast<AnfNodePtr>();
+  ASSERT_TRUE(anf_node != nullptr);
+  ASSERT_TRUE(anf_node->impl() == value_node->impl());
+  ASSERT_TRUE(base->cast<AbstractBasePtr>() == nullptr);
+}
+
+/// Feature: MindAPI
+/// Description: test graph construction.
+/// Expectation: graph is constructed as expected.
+TEST_F(TestMindApi, test_graph_construction) {
+  // fg(x) { return myprim(x, 1); }
+  auto fg = FuncGraph::Create();
+  auto x = fg->add_parameter();
+  x->set_name("x");
+  auto prim = MakeShared<Primitive>("myprim");
+  auto prim_node = MakeShared<ValueNode>(prim);
+  auto value_node = MakeShared<ValueNode>(MakeValue(1));
+  auto cnode = fg->NewCNode({prim_node, x, value_node});
+  fg->set_output(cnode);
+
+  // Now we check the graph.
+  ASSERT_EQ(fg->parameters().size(), 1);
+  ASSERT_TRUE(fg->parameters()[0]->isa<Parameter>());
+  ASSERT_EQ(fg->parameters()[0]->cast<ParameterPtr>()->name(), "x");
+
+  auto ret_node = fg->get_return();
+  ASSERT_TRUE(ret_node != nullptr);
+  auto output_node = fg->output();
+  ASSERT_TRUE(output_node != nullptr);
+  ASSERT_TRUE(output_node->isa<CNode>());
+
+  auto output_cnode = output_node->cast<CNodePtr>();
+  ASSERT_EQ(output_cnode->inputs().size(), 3);
+  ASSERT_TRUE(output_cnode->input(0)->isa<ValueNode>());
+  ASSERT_TRUE(output_cnode->input(0)->cast<ValueNodePtr>()->value()->isa<Primitive>());
+  ASSERT_EQ(output_cnode->input(0)->cast<ValueNodePtr>()->value()->cast<PrimitivePtr>()->name(), "myprim");
+  ASSERT_TRUE(output_cnode->input(1)->isa<Parameter>());
+  ASSERT_EQ(output_cnode->input(1)->cast<ParameterPtr>()->name(), "x");
+  ASSERT_TRUE(output_cnode->input(2)->isa<ValueNode>());
+
+  ASSERT_EQ(output_cnode->impl(), cnode->impl());
+}
+
+/// Feature: MindAPI
+/// Description: test value related functions.
+/// Expectation: value related functions work as expected.
+TEST_F(TestMindApi, test_values) {
+  int64_t one = 1;
+  auto s = MakeValue("hello");
+  auto i = MakeValue(one);
+  auto i2 = MakeValue(2);
+  auto b = MakeValue(true);
+  auto f = MakeValue(3.14f);
+  auto seq = MakeValue(std::vector<int64_t>{3, 4, 5});
+  auto seq_str = MakeValue(std::vector<std::string>({"this", "is", "mindspore", "api"}));
+
+  ASSERT_TRUE(s->isa<StringImm>());
+  ASSERT_TRUE(i->isa<Int64Imm>());
+  ASSERT_TRUE(i2->isa<Int64Imm>());
+  ASSERT_TRUE(b->isa<BoolImm>());
+  ASSERT_TRUE(f->isa<FP32Imm>());
+  ASSERT_TRUE(seq->isa<ValueSequence>());
+  ASSERT_TRUE(seq_str->isa<ValueSequence>());
+
+  ASSERT_EQ(GetValue<std::string>(s), "hello");
+  ASSERT_EQ(GetValue<int64_t>(i), one);
+  ASSERT_EQ(GetValue<int64_t>(i2), 2);
+  ASSERT_TRUE(GetValue<bool>(b));
+  ASSERT_TRUE(std::abs(GetValue<float>(f) - 3.14f) < 0.00001f);
+
+  ASSERT_EQ(GetValue<std::string>(i), "");
+  ASSERT_EQ(GetValue<int64_t>(s), 0);
+  ASSERT_FALSE(GetValue<bool>(s));
+  ASSERT_EQ(GetValue<float>(s), 0.0f);
+
+  auto seq_ptr = seq->cast<ValueSequencePtr>();
+  ASSERT_TRUE(seq_ptr != nullptr);
+  ASSERT_EQ(seq_ptr->size(), 3);
+  ASSERT_EQ(seq_ptr->value().size(), 3);
+  ASSERT_TRUE(seq_ptr->value()[0]->isa<Int64Imm>());
+  ASSERT_EQ(GetValue<int64_t>(seq_ptr->value()[0]), 3);
+  ASSERT_EQ(GetValue<int64_t>(seq_ptr->value()[1]), 4);
+  ASSERT_EQ(GetValue<int64_t>(seq_ptr->value()[2]), 5);
+
+  auto seq_values = GetValue<std::vector<int64_t>>(seq);
+  ASSERT_EQ(seq_values.size(), 3);
+  ASSERT_EQ(seq_values[0], 3);
+  ASSERT_EQ(seq_values[1], 4);
+  ASSERT_EQ(seq_values[2], 5);
+
+  auto str_values = GetValue<std::vector<std::string>>(seq_str);
+  ASSERT_EQ(str_values.size(), 4);
+  ASSERT_EQ(str_values[0], "this");
+  ASSERT_EQ(str_values[1], "is");
+  ASSERT_EQ(str_values[2], "mindspore");
+  ASSERT_EQ(str_values[3], "api");
+}
+
+/// Feature: MindAPI
+/// Description: test graph manager functions.
+/// Expectation: graph manager functions work as expected.
+TEST_F(TestMindApi, test_func_graph_manager) {
+  // fg(x, y) { return myprim(add(x, y), 1); }
+  auto fg = FuncGraph::Create();
+  auto x = fg->add_parameter();
+  x->set_name("x");
+  auto y = fg->add_parameter();
+  y->set_name("y");
+  auto add = MakeShared<Primitive>("add");
+  auto add_node = MakeShared<ValueNode>(add);
+  auto add_cnode = fg->NewCNode({add_node, x, y});
+  auto prim = MakeShared<Primitive>("myprim");
+  auto prim_node = MakeShared<ValueNode>(prim);
+  auto value_node = MakeShared<ValueNode>(MakeValue(1));
+  auto cnode = fg->NewCNode({prim_node, add_cnode, value_node});
+  fg->set_output(cnode);
+
+  auto mgr = FuncGraphManager::Manage(fg);
+  ASSERT_TRUE(mgr != nullptr);
+  ASSERT_TRUE(fg->manager() != nullptr);
+  ASSERT_EQ(fg->manager()->impl(), mgr->impl());
+  ASSERT_EQ(fg->manager(), mgr);
+
+  ASSERT_EQ(cnode->input(1)->impl(), add_cnode->impl());
+  mgr->Replace(add_cnode, x);
+  ASSERT_EQ(cnode->input(1)->impl(), x->impl());
+
+  mgr->SetEdge(cnode, 1, y);
+  ASSERT_EQ(cnode->input(1)->impl(), y->impl());
+
+  mgr->AddEdge(cnode, x);
+  ASSERT_EQ(cnode->size(), 4);
+  ASSERT_EQ(cnode->input(3)->impl(), x->impl());
+
+  auto users = mgr->GetUsers(value_node);
+  ASSERT_EQ(users.size(), 1);
+  ASSERT_EQ(users[0].first, cnode);
+  ASSERT_EQ(users[0].second, 2);
+}
+
+/// Feature: MindAPI
+/// Description: test value node utils.
+/// Expectation: value node utils work as expected.
+TEST_F(TestMindApi, test_value_node_utils) {
+  auto fg = FuncGraph::Create();
+  auto fg_node = MakeShared<ValueNode>(fg);
+  auto prim = MakeShared<Primitive>("myprim");
+  auto prim_node = MakeShared<ValueNode>(prim);
+  auto one = MakeShared<ValueNode>(MakeValue(1));
+  auto cnode = fg->NewCNode({fg_node, prim_node, one});
+
+  ASSERT_TRUE(GetValueNode<FuncGraphPtr>(cnode) == nullptr);
+
+  auto fg1 = GetValueNode<FuncGraphPtr>(cnode->input(0));
+  ASSERT_TRUE(fg1 != nullptr);
+  ASSERT_TRUE(fg1->isa<FuncGraph>());
+
+  auto prim1 = GetValueNode<PrimitivePtr>(cnode->input(1));
+  ASSERT_TRUE(prim1 != nullptr);
+  ASSERT_TRUE(prim1->isa<Primitive>());
+
+  auto imm = GetValueNode<Int64ImmPtr>(cnode->input(2));
+  ASSERT_TRUE(imm != nullptr);
+  ASSERT_TRUE(imm->isa<Int64Imm>());
+  ASSERT_EQ(imm->cast<Int64ImmPtr>()->value(), 1);
+
+  auto value = GetValueNode(cnode->input(2));
+  ASSERT_TRUE(value != nullptr);
+  ASSERT_EQ(GetValue<int64_t>(value), 1);
+
+  ASSERT_TRUE(GetValueNode<PrimitivePtr>(cnode->input(0)) == nullptr);
+  ASSERT_TRUE(GetValueNode<FuncGraphPtr>(cnode->input(1)) == nullptr);
+  ASSERT_TRUE(GetValueNode<StringImmPtr>(cnode->input(2)) == nullptr);
+
+  // Test NewValueNode.
+  auto int_node = NewValueNode(1);
+  auto bool_node = NewValueNode(true);
+  auto float_node = NewValueNode(1.23f);
+  auto str_node = NewValueNode("hello");
+
+  ASSERT_TRUE(int_node->value()->isa<Int64Imm>());
+  ASSERT_EQ(int_node->value()->cast<Int64ImmPtr>()->value(), 1);
+  ASSERT_TRUE(bool_node->value()->isa<BoolImm>());
+  ASSERT_TRUE(bool_node->value()->cast<BoolImmPtr>()->value());
+  ASSERT_TRUE(float_node->value()->isa<FP32Imm>());
+  ASSERT_TRUE(std::abs(float_node->value()->cast<FP32ImmPtr>()->value() - 1.23f) < 0.0000001f);
+  ASSERT_TRUE(str_node->value()->isa<StringImm>());
+  ASSERT_EQ(str_node->value()->cast<StringImmPtr>()->value(), "hello");
+}
+
+/// Feature: MindAPI
+/// Description: test SharedPtr.
+/// Expectation: SharedPtr work as expected.
+TEST_F(TestMindApi, test_object_ptr) {
+  auto fg = FuncGraph::Create();
+  auto fg_node = MakeShared<ValueNode>(fg);
+  auto prim = MakeShared<Primitive>("myprim");
+  auto prim_node = MakeShared<ValueNode>(prim);
+  auto one = MakeShared<ValueNode>(MakeValue(1));
+  auto cnode = fg->NewCNode({fg_node, prim_node, one});
+
+  ASSERT_TRUE(fg != nullptr);
+  ASSERT_FALSE(!fg);
+  ASSERT_TRUE(fg ? true : false);
+  ASSERT_TRUE((*cnode).input(0) == fg_node);
+  ASSERT_TRUE(cnode->input(0) == fg_node);
+  ASSERT_TRUE(cnode.get()->input(0) == fg_node);
+
+  ASSERT_EQ(cnode->input(0), fg_node);
+  ASSERT_EQ(cnode->input(1), prim_node);
+  ASSERT_EQ(cnode->input(2), one);
+  ASSERT_TRUE(cnode->input(0) != fg);
+
+  AnfNodePtr p = fg_node;
+  ASSERT_TRUE(p == fg_node);
+  ASSERT_TRUE(p->isa<ValueNode>());
+  ASSERT_TRUE(p->cast<ValueNodePtr>() != nullptr);
+  ASSERT_TRUE(p->cast<ValueNodePtr>() == fg_node);
+
+  p = cnode;
+  ASSERT_TRUE(p == cnode);
+  ASSERT_TRUE(p->isa<CNode>());
+  ASSERT_TRUE(p->cast<CNodePtr>() != nullptr);
+  ASSERT_TRUE(p->cast<CNodePtr>() == cnode);
+  ASSERT_TRUE(p.get() == cnode.get());
+
+  ASSERT_TRUE(p != nullptr);
+  ASSERT_FALSE(p == nullptr);
+  ASSERT_TRUE(p > nullptr);
+  ASSERT_FALSE(p < nullptr);
+  ASSERT_TRUE(p >= nullptr);
+  ASSERT_FALSE(p <= nullptr);
+
+  ASSERT_TRUE(nullptr != p);
+  ASSERT_FALSE(nullptr == p);
+  ASSERT_TRUE(nullptr < p);
+  ASSERT_FALSE(nullptr > p);
+  ASSERT_TRUE(nullptr <= p);
+  ASSERT_FALSE(nullptr >= p);
+
+  AnfNodePtr q = fg_node;
+  ASSERT_TRUE(p != q);
+  ASSERT_TRUE(p > q);
+  if (p.get()->impl() > q.get()->impl()) {
+    ASSERT_TRUE(p > q);
+    ASSERT_TRUE(p >= q);
+    ASSERT_TRUE(q < p);
+    ASSERT_TRUE(q <= p);
+  } else {
+    ASSERT_TRUE(p < q);
+    ASSERT_TRUE(p <= q);
+    ASSERT_TRUE(q > p);
+    ASSERT_TRUE(q >= p);
+  }
+
+  std::stringstream ss1;
+  std::stringstream ss2;
+  ss1 << p;
+  ss2 << cnode.get()->impl().get();
+  ASSERT_EQ(ss1.str(), ss2.str());
+
+  std::unordered_map<AnfNodePtr, AnfNodePtr> mymap;
+  mymap.emplace(p, q);
+  mymap.emplace(q, p);
+  ASSERT_TRUE(mymap.find(p) != mymap.end());
+  ASSERT_TRUE(mymap.find(q) != mymap.end());
+  ASSERT_TRUE(mymap[p] == q);
+  ASSERT_TRUE(mymap[q] == p);
+}
+
+/// Feature: MindAPI
+/// Description: test Tensor API.
+/// Expectation: Tensor API work as expected.
+TEST_F(TestMindApi, test_tensor_api) {
+  ShapeVector shape{1, 2, 3};
+  auto tensor = MakeShared<Tensor>(kNumberTypeFloat32, shape);
+
+  ASSERT_EQ(tensor->data_type(), kNumberTypeFloat32);
+  ASSERT_EQ(tensor->shape(), shape);
+  ASSERT_EQ(tensor->DataSize(), 6);
+  ASSERT_EQ(tensor->Size(), 24);
+
+  ShapeVector shape2{2, 3};
+  tensor->set_data_type(kNumberTypeInt32);
+  tensor->set_shape(shape2);
+  ASSERT_EQ(tensor->data_type(), kNumberTypeInt32);
+  ASSERT_EQ(tensor->shape(), shape2);
+}
+
+/// Feature: MindAPI
+/// Description: test utils API.
+/// Expectation: Tensor API work as expected.
+TEST_F(TestMindApi, test_api_utils) {
+  // Test utils::isa, utils::cast.
+  auto anf_node = NewValueNode("hello");
+  ASSERT_TRUE(utils::isa<AnfNode>(anf_node));
+  ASSERT_FALSE(utils::isa<AbstractBase>(anf_node));
+  ASSERT_TRUE(utils::cast<AnfNodePtr>(anf_node) != nullptr);
+  ASSERT_TRUE(utils::cast<AbstractBasePtr>(anf_node) == nullptr);
+
+  anf_node = nullptr;
+  ASSERT_FALSE(utils::isa<AnfNode>(anf_node));
+  ASSERT_TRUE(utils::cast<AnfNodePtr>(anf_node) == nullptr);
+
+  // Test clone graph.
+  auto fg = FuncGraph::Create();
+  auto x = fg->add_parameter();
+  x->set_name("x");
+  auto y = fg->add_parameter();
+  y->set_name("y");
+  auto add = MakeShared<Primitive>("add");
+  auto add_node = MakeShared<ValueNode>(add);
+  auto add_cnode = fg->NewCNode({add_node, x, y});
+  auto prim = MakeShared<Primitive>("myprim");
+  auto prim_node = MakeShared<ValueNode>(prim);
+  auto value_node = MakeShared<ValueNode>(MakeValue(1));
+  auto cnode = fg->NewCNode({prim_node, add_cnode, value_node});
+  fg->set_output(cnode);
+
+  auto cloned_fg = utils::CloneGraph(fg);
+  ASSERT_TRUE(cloned_fg != nullptr);
+  ASSERT_EQ(cloned_fg->parameters().size(), 2);
+  auto new_output = cloned_fg->output();
+  ASSERT_TRUE(new_output != nullptr);
+  ASSERT_TRUE(new_output->isa<CNode>());
+  ASSERT_EQ(new_output->cast<CNodePtr>()->size(), cnode->size());
+  ASSERT_TRUE(new_output != cnode);
+  ASSERT_TRUE(new_output->cast<CNodePtr>() != cnode);
+
+  // Test get pad mode.
+  auto pm_lower = MakeValue("pad");
+  auto pm_upper = MakeValue("PAD");
+  ASSERT_EQ(utils::GetPadMode(pm_lower), 0);
+  ASSERT_EQ(utils::GetPadMode(pm_lower, false), 0);
+  ASSERT_EQ(utils::GetPadMode(pm_upper, true), 0);
+}
+
+/// Feature: MindAPI
+/// Description: test logging API.
+/// Expectation: logging work as expected.
+TEST_F(TestMindApi, test_api_logging) {
+  MS_LOG(DEBUG) << "hello debug";
+  MS_LOG(INFO) << "hello info";
+  MS_LOG(WARNING) << "hello warning";
+  MS_LOG(ERROR) << "hello error";
+  try {
+    MS_LOG(EXCEPTION) << "hello exception";
+    ASSERT_TRUE(false);
+  } catch (...) {
+  }
+  ASSERT_TRUE(true);
+}
+}  // namespace mindspore::api