diff --git a/include/api/kernel.h b/include/api/kernel.h
index 6ec62dec020..c5461f3edd6 100644
--- a/include/api/kernel.h
+++ b/include/api/kernel.h
@@ -19,13 +19,14 @@
 #include <vector>
 #include <string>
 #include <utility>
+#include <map>
 #include "schema/model_generated.h"
 #include "include/api/types.h"
 #include "include/api/context.h"
 
 namespace mindspore::kernel {
 /// \brief The Kernel class is used to define a MindSpore Kernel.
-class Kernel {
+class MS_API Kernel {
  public:
   Kernel() = default;
   /// \brief Constructor.
@@ -37,9 +38,7 @@ class Kernel {
   Kernel(const std::vector<mindspore::MSTensor> &inputs, const std::vector<mindspore::MSTensor> &outputs,
          const schema::Primitive *primitive, const mindspore::Context *ctx)
       : context_(ctx), inputs_(std::move(inputs)), outputs_(std::move(outputs)), primitive_(primitive) {
-    if (primitive != nullptr) {
-      type_ = primitive->value_type();
-    }
+    Initialize();
   }
   /// \brief Destructor.
   virtual ~Kernel() = default;
@@ -102,6 +101,44 @@ class Kernel {
   /// \return the primitive of kernel generated by flatbuffers.
   const schema::Primitive *primitive() const { return this->primitive_; }
 
+  /// \brief get kernel's attribute.
+  ///
+  /// \param[in] key define the kernel's attribute key.
+  std::string GetAttr(const std::string &key) const {
+    auto iter = attrs_.find(key);
+    if (iter != attrs_.end()) {
+      return iter->second;
+    }
+    return "";
+  }
+
+  /// \brief set kernel's config.
+  ///
+  /// \param[in] config define the kernel's config.
+  void SetConfig(const std::map<std::string, std::map<std::string, std::string>> *config) {
+    config_ = config;
+  }
+  /// \brief set kernel's config.
+  ///
+  /// \param[in] config define the kernel's config.
+  std::map<std::string, std::string> GetConfig(const std::string &section) const {
+    if (config_ == nullptr) {
+      return std::map<std::string, std::string>();
+    }
+    auto iter = config_->find(section);
+    if (iter != config_->end()) {
+      return iter->second;
+    }
+    return std::map<std::string, std::string>();
+  }
+
+ protected:
+  /// \brief set kernel's attribute
+  ///
+  /// \param[in] key define the kernel's attribute key.
+  /// \param[in] value define the kernel's attribute value.
+  void SetAttr(const std::string &key, const std::string &value) { attrs_[key] = value; }
+
  protected:
   std::string name_;
   const mindspore::Context *context_ = nullptr;
@@ -109,6 +146,11 @@ class Kernel {
   std::vector<mindspore::MSTensor> outputs_;
   schema::PrimitiveType type_ = schema::PrimitiveType_NONE;
   const schema::Primitive *primitive_ = nullptr;
+  std::map<std::string, std::string> attrs_;
+  const std::map<std::string, std::map<std::string, std::string>> *config_;
+
+ private:
+  void Initialize();
 };
 }  // namespace mindspore::kernel
 
diff --git a/include/api/model.h b/include/api/model.h
index 8d34871527b..8de66fa0d80 100644
--- a/include/api/model.h
+++ b/include/api/model.h
@@ -114,6 +114,14 @@ class MS_API Model {
   /// \return Status.
   inline Status LoadConfig(const std::string &config_path);
 
+  /// \brief Update config.
+  ///
+  /// \param[in] section define the config section.
+  /// \param[in] config define the config will be updated.
+  ///
+  /// \return Status.
+  inline Status UpdateConfig(const std::string &section, const std::pair<std::string, std::string> &config);
+
   /// \brief Obtains all input tensors of the model.
   ///
   /// \return The vector that includes all input tensors.
@@ -223,6 +231,7 @@ class MS_API Model {
   MSTensor GetOutputByTensorName(const std::vector<char> &tensor_name);
   std::vector<MSTensor> GetOutputsByNodeName(const std::vector<char> &node_name);
   Status LoadConfig(const std::vector<char> &config_path);
+  Status UpdateConfig(const std::vector<char> &section, const std::pair<std::vector<char>, std::vector<char>> &config);
   Status Build(const void *model_data, size_t data_size, ModelType model_type,
                const std::shared_ptr<Context> &model_context, const Key &dec_key, const std::vector<char> &dec_mode);
   Status Build(const std::vector<char> &model_path, ModelType model_type, const std::shared_ptr<Context> &model_context,
@@ -249,6 +258,12 @@ Status Model::LoadConfig(const std::string &config_path) {
   return LoadConfig(StringToChar(config_path));
 }
 
+Status Model::UpdateConfig(const std::string &section, const std::pair<std::string, std::string> &config) {
+  std::pair<std::vector<char>, std::vector<char>> config_pair = {StringToChar(config.first),
+                                                                 StringToChar(config.second)};
+  return UpdateConfig(StringToChar(section), config_pair);
+}
+
 Status Model::Build(const void *model_data, size_t data_size, ModelType model_type,
                     const std::shared_ptr<Context> &model_context, const Key &dec_key, const std::string &dec_mode) {
   return Build(model_data, data_size, model_type, model_context, dec_key, StringToChar(dec_mode));
diff --git a/mindspore/lite/include/registry/register_kernel.h b/mindspore/lite/include/registry/register_kernel.h
index 8a9cf476b64..38084cbc61a 100644
--- a/mindspore/lite/include/registry/register_kernel.h
+++ b/mindspore/lite/include/registry/register_kernel.h
@@ -71,7 +71,7 @@ class MS_API RegisterKernel {
   ///
   /// \return Status as a status identification of registering.
   inline static Status RegKernel(const std::string &arch, const std::string &provider, DataType data_type, int type,
-                                 CreateKernel creator);
+                                 const CreateKernel creator);
 
   /// \brief Static method to register kernel which is corresponding to custom op.
   ///
@@ -83,7 +83,7 @@ class MS_API RegisterKernel {
   ///
   /// \return Status as a status identification of registering.
   inline static Status RegCustomKernel(const std::string &arch, const std::string &provider, DataType data_type,
-                                       const std::string &type, CreateKernel creator);
+                                       const std::string &type, const CreateKernel creator);
 
   /// \brief Static methon to get a kernel's create function.
   ///
@@ -95,9 +95,9 @@ class MS_API RegisterKernel {
 
  private:
   static Status RegKernel(const std::vector<char> &arch, const std::vector<char> &provider, DataType data_type,
-                          int type, CreateKernel creator);
+                          int type, const CreateKernel creator);
   static Status RegCustomKernel(const std::vector<char> &arch, const std::vector<char> &provider, DataType data_type,
-                                const std::vector<char> &type, CreateKernel creator);
+                                const std::vector<char> &type, const CreateKernel creator);
   static CreateKernel GetCreator(const schema::Primitive *primitive, KernelDescHelper *desc);
 };
 
@@ -115,7 +115,7 @@ class MS_API KernelReg {
   /// \param[in] op_type Define the ordinary op type.
   /// \param[in] creator Define a function pointer to create a kernel.
   KernelReg(const std::string &arch, const std::string &provider, DataType data_type, int op_type,
-            CreateKernel creator) {
+            const CreateKernel creator) {
     RegisterKernel::RegKernel(arch, provider, data_type, op_type, creator);
   }
 
@@ -127,18 +127,18 @@ class MS_API KernelReg {
   /// \param[in] op_type Define the concrete type of a custom op.
   /// \param[in] creator Define a function pointer to create a kernel.
   KernelReg(const std::string &arch, const std::string &provider, DataType data_type, const std::string &op_type,
-            CreateKernel creator) {
+            const CreateKernel creator) {
     RegisterKernel::RegCustomKernel(arch, provider, data_type, op_type, creator);
   }
 };
 
 Status RegisterKernel::RegKernel(const std::string &arch, const std::string &provider, DataType data_type, int type,
-                                 CreateKernel creator) {
+                                 const CreateKernel creator) {
   return RegKernel(StringToChar(arch), StringToChar(provider), data_type, type, creator);
 }
 
 Status RegisterKernel::RegCustomKernel(const std::string &arch, const std::string &provider, DataType data_type,
-                                       const std::string &type, CreateKernel creator) {
+                                       const std::string &type, const CreateKernel creator) {
   return RegCustomKernel(StringToChar(arch), StringToChar(provider), data_type, StringToChar(type), creator);
 }
 
diff --git a/mindspore/lite/include/registry/register_kernel_interface.h b/mindspore/lite/include/registry/register_kernel_interface.h
index d8ddd260225..93e02a45741 100644
--- a/mindspore/lite/include/registry/register_kernel_interface.h
+++ b/mindspore/lite/include/registry/register_kernel_interface.h
@@ -25,6 +25,9 @@
 #include "schema/model_generated.h"
 
 namespace mindspore {
+namespace kernel {
+class Kernel;
+}
 namespace registry {
 /// \brief KernelInterfaceCreator defined a functor to create KernelInterface.
 using KernelInterfaceCreator = std::function<std::shared_ptr<kernel::KernelInterface>()>;
@@ -40,7 +43,7 @@ class MS_API RegisterKernelInterface {
   ///
   /// \return Status as a status identification of registering.
   inline static Status CustomReg(const std::string &provider, const std::string &op_type,
-                                 KernelInterfaceCreator creator);
+                                 const KernelInterfaceCreator creator);
 
   /// \brief Static method to register op whose primitive type is ordinary.
   ///
@@ -49,23 +52,26 @@ class MS_API RegisterKernelInterface {
   /// \param[in] creator Define the KernelInterface create function.
   ///
   /// \return Status as a status identification of registering.
-  inline static Status Reg(const std::string &provider, int op_type, KernelInterfaceCreator creator);
+  inline static Status Reg(const std::string &provider, int op_type, const KernelInterfaceCreator creator);
 
   /// \brief Static method to get registration of a certain op.
   ///
   /// \param[in] provider Define the identification of user.
   /// \param[in] primitive Define the attributes of a certain op.
+  /// \param[in] kernel Define the kernel of a certain op.
   ///
   /// \return Boolean value to represent registration of a certain op is existing or not.
   inline static std::shared_ptr<kernel::KernelInterface> GetKernelInterface(const std::string &provider,
-                                                                            const schema::Primitive *primitive);
+                                                                            const schema::Primitive *primitive,
+                                                                            const kernel::Kernel *kernel = nullptr);
 
  private:
   static Status CustomReg(const std::vector<char> &provider, const std::vector<char> &op_type,
-                          KernelInterfaceCreator creator);
-  static Status Reg(const std::vector<char> &provider, int op_type, KernelInterfaceCreator creator);
+                          const KernelInterfaceCreator creator);
+  static Status Reg(const std::vector<char> &provider, int op_type, const KernelInterfaceCreator creator);
   static std::shared_ptr<kernel::KernelInterface> GetKernelInterface(const std::vector<char> &provider,
-                                                                     const schema::Primitive *primitive);
+                                                                     const schema::Primitive *primitive,
+                                                                     const kernel::Kernel *kernel = nullptr);
 };
 
 /// \brief KernelInterfaceReg defined registration class of KernelInterface.
@@ -76,7 +82,7 @@ class MS_API KernelInterfaceReg {
   /// \param[in] provider Define the identification of user.
   /// \param[in] op_type Define the ordinary op type.
   /// \param[in] creator Define the KernelInterface create function.
-  KernelInterfaceReg(const std::string &provider, int op_type, KernelInterfaceCreator creator) {
+  KernelInterfaceReg(const std::string &provider, int op_type, const KernelInterfaceCreator creator) {
     RegisterKernelInterface::Reg(provider, op_type, creator);
   }
 
@@ -85,23 +91,26 @@ class MS_API KernelInterfaceReg {
   /// \param[in] provider Define the identification of user.
   /// \param[in] op_type Define the concrete type of a custom op.
   /// \param[in] creator Define the KernelInterface create function.
-  KernelInterfaceReg(const std::string &provider, const std::string &op_type, KernelInterfaceCreator creator) {
+  KernelInterfaceReg(const std::string &provider, const std::string &op_type, const KernelInterfaceCreator creator) {
     RegisterKernelInterface::CustomReg(provider, op_type, creator);
   }
+
+  virtual ~KernelInterfaceReg() = default;
 };
 
 Status RegisterKernelInterface::CustomReg(const std::string &provider, const std::string &op_type,
-                                          KernelInterfaceCreator creator) {
+                                          const KernelInterfaceCreator creator) {
   return CustomReg(StringToChar(provider), StringToChar(op_type), creator);
 }
 
-Status RegisterKernelInterface::Reg(const std::string &provider, int op_type, KernelInterfaceCreator creator) {
+Status RegisterKernelInterface::Reg(const std::string &provider, int op_type, const KernelInterfaceCreator creator) {
   return Reg(StringToChar(provider), op_type, creator);
 }
 
-std::shared_ptr<kernel::KernelInterface> RegisterKernelInterface::GetKernelInterface(
-  const std::string &provider, const schema::Primitive *primitive) {
-  return GetKernelInterface(StringToChar(provider), primitive);
+std::shared_ptr<kernel::KernelInterface> RegisterKernelInterface::GetKernelInterface(const std::string &provider,
+                                                                                     const schema::Primitive *primitive,
+                                                                                     const kernel::Kernel *kernel) {
+  return GetKernelInterface(StringToChar(provider), primitive, kernel);
 }
 
 /// \brief Defined registering macro to register ordinary op, which called by user directly.
diff --git a/mindspore/lite/src/common/config_file.cc b/mindspore/lite/src/common/config_file.cc
index 833a617797e..71a26a37e2d 100644
--- a/mindspore/lite/src/common/config_file.cc
+++ b/mindspore/lite/src/common/config_file.cc
@@ -21,19 +21,55 @@
 #endif
 namespace {
 constexpr size_t kLengthOfParentheses = 2;
-}
+constexpr size_t kMinSectionLineLength = 2;
+constexpr size_t kMaxValidLineCount = 100000;
+constexpr size_t kMaxLineCount = 100100;
+
+}  // namespace
 
 namespace mindspore {
 namespace lite {
-int GetSectionInfoFromConfigFile(const std::string &file, const std::string &section_name,
-                                 std::map<std::string, std::string> *section_info) {
-  if (file.empty()) {
-    MS_LOG(ERROR) << "file is nullptr";
+namespace {
+void ParseLine(const std::string &line, std::map<std::string, std::string> *section_config, std::string *section,
+               size_t *valid_line_count, std::map<std::string, std::map<std::string, std::string>> *config) {
+  // eg: [section]
+  //     key=value
+  if (line[0] == '[' && line[line.length() - 1] == ']') {
+    if (!section->empty() && !section_config->empty()) {
+      config->insert(std::make_pair(*section, *section_config));
+    }
+    section_config->clear();
+    *section = line.substr(1, line.length() - kLengthOfParentheses);
+    *valid_line_count = *valid_line_count + 1;
+  }
+
+  if (!section->empty()) {
+    auto index = line.find('=');
+    if (index == std::string::npos) {
+      return;
+    }
+    auto key = line.substr(0, index);
+    if (index + 1 > line.size()) {
+      return;
+    }
+    auto value = line.substr(index + 1);
+    lite::Trim(&key);
+    lite::Trim(&value);
+    section_config->insert(std::make_pair(key, value));
+    *valid_line_count = *valid_line_count + 1;
+  }
+}
+}  // namespace
+
+int GetAllSectionInfoFromConfigFile(const std::string &file,
+                                    std::map<std::string, std::map<std::string, std::string>> *config) {
+  if (file.empty() || config == nullptr) {
+    MS_LOG(ERROR) << "input Invalid!check file and config.";
     return RET_ERROR;
   }
   auto resolved_path = std::make_unique<char[]>(PATH_MAX);
   if (resolved_path == nullptr) {
-    MS_LOG(ERROR) << "new resolved_path failed";
+    MS_LOG(ERROR) << "new resolved_path fail!";
     return RET_ERROR;
   }
 
@@ -56,44 +92,25 @@ int GetSectionInfoFromConfigFile(const std::string &file, const std::string &sec
     return RET_ERROR;
   }
   std::string line;
-
-  bool find_section = false;
+  std::string section;
+  std::map<std::string, std::string> section_config;
+  size_t line_count = 0;
+  size_t valid_line_count = 0;
   while (std::getline(ifs, line)) {
+    line_count++;
+    if (line_count >= kMaxLineCount || valid_line_count >= kMaxValidLineCount) {
+      MS_LOG(ERROR) << "config too many lines!";
+      return RET_ERROR;
+    }
     lite::Trim(&line);
-    if (line.empty()) {
+    if (line.length() <= kMinSectionLineLength || line[0] == '#') {
       continue;
     }
-    if (line[0] == '#') {
-      continue;
-    }
-
-    if (line[0] == '[') {
-      if (find_section == true) {
-        break;
-      }
-      std::string section = line.substr(1, line.length() - kLengthOfParentheses);
-      if (section != section_name) {
-        continue;
-      }
-      find_section = true;
-    }
-
-    if (find_section == true) {
-      auto index = line.find('=');
-      if (index == std::string::npos) {
-        continue;
-      }
-      auto key = line.substr(0, index);
-      if (index + 1 > line.size()) {
-        return RET_ERROR;
-      }
-      auto value = line.substr(index + 1);
-      lite::Trim(&key);
-      lite::Trim(&value);
-      section_info->insert(std::make_pair(key, value));
-    }
+    ParseLine(line, &section_config, &section, &valid_line_count, config);
+  }
+  if (!section.empty() && !section_config.empty()) {
+    config->insert(std::make_pair(section, section_config));
   }
-
   ifs.close();
   return RET_OK;
 }
diff --git a/mindspore/lite/src/common/config_file.h b/mindspore/lite/src/common/config_file.h
index 70aac9dcb05..47a14c60138 100644
--- a/mindspore/lite/src/common/config_file.h
+++ b/mindspore/lite/src/common/config_file.h
@@ -35,10 +35,8 @@
 namespace mindspore {
 namespace lite {
 constexpr int MAX_CONFIG_FILE_LENGTH = 1024;
-#define CONFIG_FILE_EXECUTION_PLAN "execution_plan"
-
-int GetSectionInfoFromConfigFile(const std::string &file, const std::string &section_name,
-                                 std::map<std::string, std::string> *section_info);
+int GetAllSectionInfoFromConfigFile(const std::string &file,
+                                    std::map<std::string, std::map<std::string, std::string>> *config);
 
 void ParserExecutionPlan(const std::map<std::string, std::string> *config_infos,
                          std::map<std::string, TypeId> *data_type_plan);
diff --git a/mindspore/lite/src/cxx_api/kernel.cc b/mindspore/lite/src/cxx_api/kernel.cc
new file mode 100644
index 00000000000..f3577a516c2
--- /dev/null
+++ b/mindspore/lite/src/cxx_api/kernel.cc
@@ -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.
+ */
+#include "include/api/kernel.h"
+namespace mindspore::kernel {
+void Kernel::Initialize() {
+  if (primitive_ == nullptr) {
+    return;
+  }
+  type_ = primitive_->value_type();
+  if (type_ == schema::PrimitiveType_Custom) {
+    auto param = primitive_->value_as_Custom();
+    if (param != nullptr && param->type() != nullptr) {
+      SetAttr("type", param->type()->str());
+    }
+  }
+}
+}  // namespace mindspore::kernel
diff --git a/mindspore/lite/src/cxx_api/model/model.cc b/mindspore/lite/src/cxx_api/model/model.cc
index 1cd1f2c3972..fbf32afde28 100644
--- a/mindspore/lite/src/cxx_api/model/model.cc
+++ b/mindspore/lite/src/cxx_api/model/model.cc
@@ -217,6 +217,19 @@ Status Model::LoadConfig(const std::vector<char> &config_path) {
   return kSuccess;
 }
 
+Status Model::UpdateConfig(const std::vector<char> &section,
+                           const std::pair<std::vector<char>, std::vector<char>> &config) {
+  std::unique_lock<std::mutex> impl_lock(g_impl_init_lock);
+  if (impl_ == nullptr) {
+    impl_ = std::shared_ptr<ModelImpl>(new (std::nothrow) ModelImpl());
+  }
+  if (impl_ != nullptr) {
+    return impl_->UpdateConfig(CharToString(section), {CharToString(config.first), CharToString(config.second)});
+  }
+  MS_LOG(ERROR) << "Model implement is null!";
+  return kLiteFileError;
+}
+
 Status Model::SetTrainMode(bool train) {
   if ((impl_ == nullptr) || (impl_->session_ == nullptr)) {
     MS_LOG(ERROR) << "Model is null.";
diff --git a/mindspore/lite/src/cxx_api/model/model_impl.cc b/mindspore/lite/src/cxx_api/model/model_impl.cc
index ccc3bff55f4..8939b401108 100644
--- a/mindspore/lite/src/cxx_api/model/model_impl.cc
+++ b/mindspore/lite/src/cxx_api/model/model_impl.cc
@@ -17,6 +17,10 @@
 #include "src/cxx_api/model/model_impl.h"
 #include <memory>
 #include <algorithm>
+#include <map>
+#include <string>
+#include <utility>
+#include <vector>
 #include "include/api/types.h"
 #include "include/api/context.h"
 #include "include/lite_session.h"
@@ -32,6 +36,11 @@
 #include "src/common/config_file.h"
 
 namespace mindspore {
+namespace {
+static const char *kExecutionPlan = "execution_plan";
+static constexpr size_t kMaxSectionNum = 100;
+static constexpr size_t kMaxConfigNumPerSection = 1000;
+}  // namespace
 using mindspore::lite::RET_ERROR;
 using mindspore::lite::RET_OK;
 
@@ -195,15 +204,16 @@ Status ModelImpl::RunGraph(const MSKernelCallBack &before, const MSKernelCallBac
 bool ModelImpl::IsTrainModel() { return (graph_ && graph_->graph_data_ && graph_->graph_data_->IsTrainModel()); }
 
 Status ModelImpl::LoadConfig(const std::string &config_path) {
-  std::map<std::string, std::string> config_info;
-  int ret = lite::GetSectionInfoFromConfigFile(config_path, CONFIG_FILE_EXECUTION_PLAN, &config_info);
+  std::map<std::string, std::map<std::string, std::string>> all_config_info;
+  int ret = lite::GetAllSectionInfoFromConfigFile(config_path, &all_config_info);
   if (ret != RET_OK) {
-    MS_LOG(ERROR) << "GetSectionInfoFromConfigFile failed.";
+    MS_LOG(ERROR) << "GetAllSectionInfoFromConfigFile fail!ret: " << ret;
     return kLiteFileError;
   }
-
+  config_info_ = all_config_info;
+  std::map<std::string, std::string> config_info = all_config_info[kExecutionPlan];
   if (config_info.empty()) {
-    MS_LOG(WARNING) << "No valid info in config file.";
+    MS_LOG(WARNING) << "No valid execution plan info in config file.";
     return kSuccess;
   }
 
@@ -211,6 +221,24 @@ Status ModelImpl::LoadConfig(const std::string &config_path) {
   return kSuccess;
 }
 
+Status ModelImpl::UpdateConfig(const std::string &section, const std::pair<std::string, std::string> &config) {
+  auto iter = config_info_.find(section);
+  if (iter == config_info_.end()) {
+    if (config_info_.size() >= kMaxSectionNum) {
+      MS_LOG(ERROR) << "config too many sections!";
+      return kLiteError;
+    }
+    config_info_[section][config.first] = config.second;
+    return kSuccess;
+  }
+  if (iter->second.size() >= kMaxConfigNumPerSection) {
+    MS_LOG(ERROR) << "config too many items!";
+    return kLiteError;
+  }
+  iter->second[config.first] = config.second;
+  return kSuccess;
+}
+
 Status ModelImpl::Predict(const std::vector<MSTensor> &inputs, std::vector<MSTensor> *outputs,
                           const MSKernelCallBack &before, const MSKernelCallBack &after) {
   if (outputs == nullptr) {
@@ -590,6 +618,7 @@ session::LiteSession *ModelImpl::CreateLiteSession(lite::InnerContext *context)
   }
 
   session->InitExecutionConfig(&execution_plan_);
+  session->SetConfigInfo(&config_info_);
 
   auto ret = session->Init(context);
   if (ret != mindspore::lite::RET_OK) {
diff --git a/mindspore/lite/src/cxx_api/model/model_impl.h b/mindspore/lite/src/cxx_api/model/model_impl.h
index 90a6533cb90..3fb45439c0b 100644
--- a/mindspore/lite/src/cxx_api/model/model_impl.h
+++ b/mindspore/lite/src/cxx_api/model/model_impl.h
@@ -71,6 +71,7 @@ class ModelImpl {
   session::LiteSession *CreateLiteSession(lite::InnerContext *context);
 
   Status LoadConfig(const std::string &config_path);
+  Status UpdateConfig(const std::string &section, const std::pair<std::string, std::string> &config);
   std::vector<MSTensor> GetInputs();
   std::vector<MSTensor> GetOutputs();
   std::vector<MSTensor> GetGradients() const;
@@ -113,6 +114,7 @@ class ModelImpl {
   void SetConfig(const std::shared_ptr<TrainCfg> cfg) { cfg_ = cfg; }
   Status RunGraph(const MSKernelCallBack &before, const MSKernelCallBack &after);
   std::map<std::string, TypeId> execution_plan_;
+  std::map<std::string, std::map<std::string, std::string>> config_info_;
 };
 }  // namespace mindspore
 
diff --git a/mindspore/lite/src/lite_session.cc b/mindspore/lite/src/lite_session.cc
index 382e3a91653..d2aa8f42a58 100644
--- a/mindspore/lite/src/lite_session.cc
+++ b/mindspore/lite/src/lite_session.cc
@@ -529,6 +529,7 @@ int LiteSession::CompileGraph(Model *model) {
   Scheduler scheduler(context_, ms_context_, model, &tensors_, inputs_, outputs_, is_train_session_, &is_infershape_,
                       &is_control_flow_, execution_plan_, delegate_, delegate_device_type_);
   scheduler.SetupSchedulerCb(std::move(sched_cb_));
+  scheduler.SetConfig(config_info_);
   ret = scheduler.Schedule(&kernels_);
   if (ret != RET_OK) {
     MS_LOG(ERROR) << "Schedule kernels failed: " << ret;
diff --git a/mindspore/lite/src/lite_session.h b/mindspore/lite/src/lite_session.h
index 7cdbe6e3cee..68e6fa1799b 100644
--- a/mindspore/lite/src/lite_session.h
+++ b/mindspore/lite/src/lite_session.h
@@ -87,6 +87,10 @@ class LiteSession : public session::LiteSession {
 
   const Delegate *get_delegate() const { return this->delegate_.get(); }
 
+  void SetConfigInfo(const std::map<std::string, std::map<std::string, std::string>> *config_info) {
+    config_info_ = config_info;
+  }
+
  protected:
   static void ConvertTensorsQuantParam(const schema::Tensor *src_tensor, lite::Tensor *dst_tensor);
 
@@ -181,6 +185,7 @@ class LiteSession : public session::LiteSession {
   std::shared_ptr<Delegate> delegate_ = nullptr;
   int delegate_device_type_ = -1;  // -1: not specified; 0: CPU; 1: GPU; 2: NPU
   std::map<std::string, TypeId> *execution_plan_ = nullptr;
+  const std::map<std::string, std::map<std::string, std::string>> *config_info_ = nullptr;
 };
 }  // namespace lite
 }  // namespace mindspore
diff --git a/mindspore/lite/src/ops/populate/affine_populate.cc b/mindspore/lite/src/ops/populate/affine_populate.cc
index 999849aa1e6..d84df44f90f 100644
--- a/mindspore/lite/src/ops/populate/affine_populate.cc
+++ b/mindspore/lite/src/ops/populate/affine_populate.cc
@@ -70,14 +70,14 @@ OpParameter *PopulateAffineParameter(const void *prim) {
   affine_param->context_size_ = static_cast<int>(context.size());
 
   // malloc && memset for context
-  affine_param->context_ = reinterpret_cast<int *>(malloc(affine_param->context_size_ * sizeof(int)));
+  affine_param->context_ = reinterpret_cast<int *>(malloc(context.size() * sizeof(int)));
   if (affine_param->context_ == nullptr) {
     MS_LOG(ERROR) << "malloc param context_ for affine layer failed!";
     ReleaseParam(affine_param, matmul_param);
     return nullptr;
   }
-  memset(affine_param->context_, 0, affine_param->context_size_ * sizeof(int));
-  for (int i = 0; i < affine_param->context_size_; ++i) {
+  (void)memset(affine_param->context_, 0, context.size() * sizeof(int));
+  for (size_t i = 0; i < context.size(); ++i) {
     affine_param->context_[i] = context.at(i);
   }
   affine_param->output_dim_ = value->output_dim();
diff --git a/mindspore/lite/src/ops/populate/control/tensor_array_populate.cc b/mindspore/lite/src/ops/populate/control/tensor_array_populate.cc
index 23b552c54e4..4cee72fa93f 100644
--- a/mindspore/lite/src/ops/populate/control/tensor_array_populate.cc
+++ b/mindspore/lite/src/ops/populate/control/tensor_array_populate.cc
@@ -43,8 +43,8 @@ OpParameter *PopulateTensorArrayParameter(const void *prim) {
   bool identical_element_shapes = value->identical_element_shapes();
   param->identical_element_shapes_ = identical_element_shapes;
   std::vector<int> primitive_element_shape(value->element_shape()->begin(), value->element_shape()->end());
-  param->element_shape_size_ = primitive_element_shape.size();
-  int size = sizeof(int) * param->element_shape_size_;
+  param->element_shape_size_ = static_cast<int>(primitive_element_shape.size());
+  auto size = sizeof(int) * param->element_shape_size_;
   param->element_shape_ = static_cast<int *>(malloc(size));
   if (param->element_shape_ == nullptr) {
     MS_LOG(ERROR) << "malloc element_shape failed!";
diff --git a/mindspore/lite/src/ops/populate/splice_populate.cc b/mindspore/lite/src/ops/populate/splice_populate.cc
index fbbab170710..635fb1fdb16 100644
--- a/mindspore/lite/src/ops/populate/splice_populate.cc
+++ b/mindspore/lite/src/ops/populate/splice_populate.cc
@@ -52,7 +52,7 @@ OpParameter *PopulateSpliceParameter(const void *prim) {
   param->context_dim_ = static_cast<int>(primitive_context.size());
 
   // malloc && memset for context
-  param->context_ = reinterpret_cast<int *>(malloc(param->context_dim_ * sizeof(int)));
+  param->context_ = reinterpret_cast<int *>(malloc(primitive_context.size() * sizeof(int)));
   if (param->context_ == nullptr) {
     MS_LOG(ERROR) << "malloc param context_ error";
     free(param);
@@ -60,8 +60,8 @@ OpParameter *PopulateSpliceParameter(const void *prim) {
   }
   // src_to_dst_row_offset
   int src_to_dst_row_offset = INT32_MIN;
-  memset(param->context_, 0, param->context_dim_ * sizeof(int));
-  for (int i = 0; i < param->context_dim_; ++i) {
+  (void)memset(param->context_, 0, primitive_context.size() * sizeof(int));
+  for (size_t i = 0; i < primitive_context.size(); ++i) {
     param->context_[i] = primitive_context[i];
     src_to_dst_row_offset = std::max(src_to_dst_row_offset, std::abs(primitive_context.at(i)));
   }
@@ -83,15 +83,15 @@ OpParameter *PopulateSpliceParameter(const void *prim) {
   param->forward_indexes_dim_ = static_cast<int>(primitive_forward_indexes.size());
 
   // malloc && memset for forward_indexes
-  param->forward_indexes_ = reinterpret_cast<int *>(malloc(param->forward_indexes_dim_ * sizeof(int)));
+  param->forward_indexes_ = reinterpret_cast<int *>(malloc(primitive_context.size() * sizeof(int)));
   if (param->forward_indexes_ == nullptr) {
     MS_LOG(ERROR) << "malloc param forward_indexes_ error";
     free(param->context_);
     free(param);
     return nullptr;
   }
-  memset(param->forward_indexes_, 0, param->forward_indexes_dim_ * sizeof(int));
-  memcpy(param->forward_indexes_, primitive_forward_indexes.data(), param->forward_indexes_dim_ * sizeof(int));
+  (void)memset(param->forward_indexes_, 0, primitive_context.size() * sizeof(int));
+  (void)memcpy(param->forward_indexes_, primitive_forward_indexes.data(), primitive_context.size() * sizeof(int));
   param->output_dim_ = value->output_dim();
   return reinterpret_cast<OpParameter *>(param);
 }
diff --git a/mindspore/lite/src/registry/kernel_interface_registry.cc b/mindspore/lite/src/registry/kernel_interface_registry.cc
index d90352c071c..9124d85391f 100644
--- a/mindspore/lite/src/registry/kernel_interface_registry.cc
+++ b/mindspore/lite/src/registry/kernel_interface_registry.cc
@@ -20,6 +20,7 @@
 #include "src/common/log_adapter.h"
 #include "src/common/version_manager.h"
 #include "schema/model_generated.h"
+#include "include/api/kernel.h"
 
 using mindspore::registry::KernelInterfaceCreator;
 using mindspore::schema::PrimitiveType_MAX;
@@ -27,16 +28,33 @@ using mindspore::schema::PrimitiveType_MIN;
 namespace mindspore {
 namespace registry {
 namespace {
+static constexpr auto kMaxProviderNum = 10;
+static constexpr auto KMaxCustomTypeNum = 200;
 static const auto kMaxKernelNum = PrimitiveType_MAX - PrimitiveType_MIN + 1;
 std::string GetCustomType(const schema::Primitive *primitive) {
   auto param = primitive->value_as_Custom();
-  MS_ASSERT(param != nullptr);
+  if (param == nullptr || param->type() == nullptr) {
+    return "";
+  }
+
   return param->type()->str();
 }
 }  // namespace
 
 Status KernelInterfaceRegistry::CustomReg(const std::string &provider, const std::string &type,
-                                          KernelInterfaceCreator creator) {
+                                          const KernelInterfaceCreator creator) {
+  auto provider_iter = custom_creators_.find(provider);
+  if (provider_iter == custom_creators_.end() && custom_creators_.size() >= kMaxProviderNum) {
+    MS_LOG(ERROR) << "register too many provider!";
+    return kLiteError;
+  }
+  if (provider_iter != custom_creators_.end()) {
+    auto type_iter = provider_iter->second.find(type);
+    if (type_iter == provider_iter->second.end() && provider_iter->second.size() >= KMaxCustomTypeNum) {
+      MS_LOG(ERROR) << "register too many custom type!";
+      return kLiteError;
+    }
+  }
   custom_creators_[provider][type] = creator;
   return kSuccess;
 }
@@ -73,15 +91,19 @@ std::shared_ptr<kernel::KernelInterface> KernelInterfaceRegistry::GetCustomCache
 }
 
 std::shared_ptr<kernel::KernelInterface> KernelInterfaceRegistry::GetCustomKernelInterface(
-  const schema::Primitive *primitive) {
-  MS_ASSERT(primitive != nullptr);
+  const schema::Primitive *primitive, const kernel::Kernel *kernel) {
   std::unique_lock<std::mutex> lock(mutex_);
-  auto &&type = GetCustomType(primitive);
+  std::string type;
+  if (kernel == nullptr) {
+    type = GetCustomType(primitive);
+  } else {
+    type = kernel->GetAttr("type");
+  }
   for (auto &&item : custom_creators_) {
     auto &&provider = item.first;
-    auto kernel = GetCustomCacheInterface(provider, type);
-    if (kernel != nullptr) {
-      return kernel;
+    auto kernel_interface = GetCustomCacheInterface(provider, type);
+    if (kernel_interface != nullptr) {
+      return kernel_interface;
     }
     auto provider_iter = custom_creators_.find(provider);
     if (provider_iter == custom_creators_.end()) {
@@ -89,47 +111,54 @@ std::shared_ptr<kernel::KernelInterface> KernelInterfaceRegistry::GetCustomKerne
     }
     auto creator_iter = provider_iter->second.find(type);
     if (creator_iter != provider_iter->second.end()) {
-      kernel = creator_iter->second();
-      custom_kernels_[provider][type] = kernel;
-      return kernel;
+      kernel_interface = creator_iter->second();
+      custom_kernels_[provider][type] = kernel_interface;
+      return kernel_interface;
     }
   }
 
   return nullptr;
 }
 
-std::shared_ptr<kernel::KernelInterface> KernelInterfaceRegistry::GetKernelInterface(
-  const std::string &provider, const schema::Primitive *primitive) {
-  if (primitive == nullptr) {
+std::shared_ptr<kernel::KernelInterface> KernelInterfaceRegistry::GetKernelInterface(const std::string &provider,
+                                                                                     const schema::Primitive *primitive,
+                                                                                     const kernel::Kernel *kernel) {
+  if (primitive == nullptr && kernel == nullptr) {
+    return nullptr;
+  }
+  int op_type;
+  if (kernel == nullptr) {
+    op_type = static_cast<int>(primitive->value_type());
+  } else {
+    op_type = static_cast<int>(kernel->type());
+  }
+  if (op_type > PrimitiveType_MAX || op_type <= PrimitiveType_MIN) {
     return nullptr;
   }
-  int op_type = primitive->value_type();
   if (op_type == schema::PrimitiveType_Custom) {
-    return GetCustomKernelInterface(primitive);
+    return GetCustomKernelInterface(primitive, kernel);
   }
 
   std::unique_lock<std::mutex> lock(mutex_);
-  auto kernel = GetCacheInterface(provider, op_type);
-  if (kernel != nullptr) {
-    return kernel;
+  auto kernel_interface = GetCacheInterface(provider, op_type);
+  if (kernel_interface != nullptr) {
+    return kernel_interface;
   }
   auto iter = kernel_creators_.find(provider);
   if (iter == kernel_creators_.end()) {
     return nullptr;
   }
-  if (op_type > PrimitiveType_MAX || op_type <= PrimitiveType_MIN) {
-    return nullptr;
-  }
+
   auto creator = iter->second[op_type];
   if (creator != nullptr) {
-    kernel = creator();
-    kernel_interfaces_[provider][op_type] = kernel;
-    return kernel;
+    kernel_interface = creator();
+    kernel_interfaces_[provider][op_type] = kernel_interface;
+    return kernel_interface;
   }
   return nullptr;
 }
 
-Status KernelInterfaceRegistry::Reg(const std::string &provider, int op_type, KernelInterfaceCreator creator) {
+Status KernelInterfaceRegistry::Reg(const std::string &provider, int op_type, const KernelInterfaceCreator creator) {
   if (op_type <= PrimitiveType_MIN || op_type > PrimitiveType_MAX) {
     MS_LOG(ERROR) << "reg op_type invalid!op_type: " << op_type << ", max value: " << PrimitiveType_MAX;
     return kLiteParamInvalid;
@@ -142,6 +171,10 @@ Status KernelInterfaceRegistry::Reg(const std::string &provider, int op_type, Ke
   std::unique_lock<std::mutex> lock(mutex_);
   auto iter = kernel_creators_.find(provider);
   if (iter == kernel_creators_.end()) {
+    if (kernel_creators_.size() >= kMaxProviderNum) {
+      MS_LOG(ERROR) << "register too many provider!";
+      return kLiteError;
+    }
     kernel_creators_[provider] =
       reinterpret_cast<KernelInterfaceCreator *>(calloc(kMaxKernelNum, sizeof(KernelInterfaceCreator)));
     if (kernel_creators_[provider] == nullptr) {
diff --git a/mindspore/lite/src/registry/kernel_interface_registry.h b/mindspore/lite/src/registry/kernel_interface_registry.h
index 0739eb64ab7..17bf00dc04a 100644
--- a/mindspore/lite/src/registry/kernel_interface_registry.h
+++ b/mindspore/lite/src/registry/kernel_interface_registry.h
@@ -35,9 +35,11 @@ class KernelInterfaceRegistry {
   }
 
   std::shared_ptr<kernel::KernelInterface> GetKernelInterface(const std::string &provider,
-                                                              const schema::Primitive *primitive);
-  Status CustomReg(const std::string &provider, const std::string &op_type, registry::KernelInterfaceCreator creator);
-  Status Reg(const std::string &provider, int op_type, registry::KernelInterfaceCreator creator);
+                                                              const schema::Primitive *primitive,
+                                                              const kernel::Kernel *kernel);
+  Status CustomReg(const std::string &provider, const std::string &op_type,
+                   const registry::KernelInterfaceCreator creator);
+  Status Reg(const std::string &provider, int op_type, const registry::KernelInterfaceCreator creator);
   virtual ~KernelInterfaceRegistry();
 
  private:
@@ -45,7 +47,8 @@ class KernelInterfaceRegistry {
   std::shared_ptr<kernel::KernelInterface> GetCacheInterface(const std::string &provider, int op_type);
   std::shared_ptr<kernel::KernelInterface> GetCustomCacheInterface(const std::string &provider,
                                                                    const std::string &type);
-  std::shared_ptr<kernel::KernelInterface> GetCustomKernelInterface(const schema::Primitive *primitive);
+  std::shared_ptr<kernel::KernelInterface> GetCustomKernelInterface(const schema::Primitive *primitive,
+                                                                    const kernel::Kernel *kernel);
 
   std::mutex mutex_;
   // key: provider
diff --git a/mindspore/lite/src/registry/register_kernel.cc b/mindspore/lite/src/registry/register_kernel.cc
index 325c5b24b89..bc5f9d883b7 100644
--- a/mindspore/lite/src/registry/register_kernel.cc
+++ b/mindspore/lite/src/registry/register_kernel.cc
@@ -23,7 +23,7 @@
 namespace mindspore {
 namespace registry {
 Status RegisterKernel::RegCustomKernel(const std::vector<char> &arch, const std::vector<char> &provider,
-                                       DataType data_type, const std::vector<char> &type, CreateKernel creator) {
+                                       DataType data_type, const std::vector<char> &type, const CreateKernel creator) {
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
   return RegistryKernelImpl::GetInstance()->RegCustomKernel(CharToString(arch), CharToString(provider), data_type,
                                                             CharToString(type), creator);
@@ -34,7 +34,7 @@ Status RegisterKernel::RegCustomKernel(const std::vector<char> &arch, const std:
 }
 
 Status RegisterKernel::RegKernel(const std::vector<char> &arch, const std::vector<char> &provider, DataType data_type,
-                                 int op_type, CreateKernel creator) {
+                                 int op_type, const CreateKernel creator) {
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
   return RegistryKernelImpl::GetInstance()->RegKernel(CharToString(arch), CharToString(provider), data_type, op_type,
                                                       creator);
diff --git a/mindspore/lite/src/registry/register_kernel_impl.cc b/mindspore/lite/src/registry/register_kernel_impl.cc
index 8ae95577a46..68917ea585f 100644
--- a/mindspore/lite/src/registry/register_kernel_impl.cc
+++ b/mindspore/lite/src/registry/register_kernel_impl.cc
@@ -25,15 +25,14 @@ using mindspore::schema::PrimitiveType_MAX;
 using mindspore::schema::PrimitiveType_MIN;
 namespace mindspore::registry {
 namespace {
-static const auto kKernelMaxNum =
-  (static_cast<int>(DataType::kNumberTypeEnd) - static_cast<int>(DataType::kNumberTypeBegin) - 1) *
-  (PrimitiveType_MAX - PrimitiveType_MIN);
+static const auto kOpTypeLen = PrimitiveType_MAX - PrimitiveType_MIN + 1;
 static const auto kDataTypeLen =
   static_cast<int>(DataType::kNumberTypeEnd) - static_cast<int>(DataType::kNumberTypeBegin) - 1;
-static const auto kOpTypeLen = PrimitiveType_MAX - PrimitiveType_MIN;
-}  // namespace
-
-int RegistryKernelImpl::GetFuncIndex(const KernelDesc &desc) {
+static const auto kKernelMaxNum = kOpTypeLen * kDataTypeLen;
+static constexpr auto kMaxProviderNum = 10;
+static constexpr auto kMaxArchPerProviderNum = 10;
+static constexpr auto kMaxCustomTypeNum = 200;
+int GetFuncIndex(const KernelDesc &desc) {
   if (desc.data_type >= DataType::kNumberTypeEnd) {
     return -1;
   }
@@ -47,14 +46,36 @@ int RegistryKernelImpl::GetFuncIndex(const KernelDesc &desc) {
   }
   return index;
 }
+}  // namespace
 
 Status RegistryKernelImpl::RegCustomKernel(const std::string &arch, const std::string &provider, DataType data_type,
-                                           const std::string &type, CreateKernel creator) {
-  if (data_type >= DataType::kNumberTypeEnd) {
+                                           const std::string &type, const CreateKernel creator) {
+  int data_type_index = static_cast<int>(data_type) - static_cast<int>(DataType::kNumberTypeBegin) - 1;
+  if (data_type_index < 0 || data_type_index >= kDataTypeLen) {
     MS_LOG(ERROR) << "invalid data_type: " << static_cast<int>(data_type) << "!provider: " << provider;
     return kLiteError;
   }
   std::unique_lock<std::mutex> lock(lock_);
+  auto provider_iter = custom_kernel_creators_.find(provider);
+  if (provider_iter == custom_kernel_creators_.end() && custom_kernel_creators_.size() >= kMaxProviderNum) {
+    MS_LOG(ERROR) << "register too many provider!";
+    return kLiteError;
+  }
+  if (provider_iter != custom_kernel_creators_.end()) {
+    auto arch_iter = provider_iter->second.find(arch);
+    if (arch_iter == provider_iter->second.end()) {
+      if (provider_iter->second.size() >= kMaxArchPerProviderNum) {
+        MS_LOG(ERROR) << "register too many arch!";
+        return kLiteError;
+      }
+    } else {
+      auto type_iter = arch_iter->second.find(type);
+      if (type_iter == arch_iter->second.end() && arch_iter->second.size() >= kMaxCustomTypeNum) {
+        MS_LOG(ERROR) << "register too many type!";
+        return kLiteError;
+      }
+    }
+  }
   if (custom_kernel_creators_[provider][arch][type] == nullptr) {
     custom_kernel_creators_[provider][arch][type] =
       reinterpret_cast<CreateKernel *>(calloc(kDataTypeLen, sizeof(CreateKernel)));
@@ -64,20 +85,30 @@ Status RegistryKernelImpl::RegCustomKernel(const std::string &arch, const std::s
     }
   }
 
-  int data_type_index = static_cast<int>(data_type) - static_cast<int>(DataType::kNumberTypeBegin) - 1;
-  if (data_type_index < 0 || data_type_index >= kDataTypeLen) {
-    MS_LOG(ERROR) << "invalid data_type: " << static_cast<int>(data_type) << "!provider: " << provider;
-    return kLiteError;
-  }
   custom_kernel_creators_[provider][arch][type][data_type_index] = creator;
   return kSuccess;
 }
 
 Status RegistryKernelImpl::RegKernel(const std::string &arch, const std::string &provider, DataType data_type, int type,
-                                     registry::CreateKernel creator) {
+                                     const registry::CreateKernel creator) {
+  if (type <= static_cast<int>(PrimitiveType_MIN) || type > static_cast<int>(PrimitiveType_MAX)) {
+    MS_LOG(ERROR) << "Invalid op type : " << type;
+    return kLiteParamInvalid;
+  }
+  KernelDesc desc = {data_type, type, arch, provider};
+  int index = GetFuncIndex(desc);
+  if (index < 0) {
+    MS_LOG(ERROR) << "invalid kernel key, arch " << arch << ", data_type" << static_cast<int>(data_type) << ",op type "
+                  << type;
+    return kLiteError;
+  }
   std::unique_lock<std::mutex> lock(lock_);
   auto iter = kernel_creators_.find(provider);
   if (iter == kernel_creators_.end()) {
+    if (kernel_creators_.size() >= kMaxProviderNum) {
+      MS_LOG(ERROR) << "register too many provider!";
+      return kLiteError;
+    }
     kernel_creators_[provider][arch] = reinterpret_cast<CreateKernel *>(calloc(kKernelMaxNum, sizeof(CreateKernel)));
     if (kernel_creators_[provider][arch] == nullptr) {
       MS_LOG(ERROR) << "malloc kernel creator buffer fail! provider: " << provider << ",arch:" << arch;
@@ -86,6 +117,10 @@ Status RegistryKernelImpl::RegKernel(const std::string &arch, const std::string
   } else {
     auto iter_arch = iter->second.find(arch);
     if (iter_arch == iter->second.end()) {
+      if (iter->second.size() >= kMaxArchPerProviderNum) {
+        MS_LOG(ERROR) << "register too many arch!";
+        return kLiteError;
+      }
       iter->second[arch] = reinterpret_cast<CreateKernel *>(calloc(kKernelMaxNum, sizeof(CreateKernel)));
       if (iter->second[arch] == nullptr) {
         MS_LOG(ERROR) << "malloc kernel creator buffer fail! provider: " << provider << ",arch:" << arch;
@@ -94,14 +129,6 @@ Status RegistryKernelImpl::RegKernel(const std::string &arch, const std::string
     }
   }
 
-  KernelDesc desc = {data_type, type, arch, provider};
-  int index = GetFuncIndex(desc);
-  if (index < 0) {
-    MS_LOG(ERROR) << "invalid kernel key, arch " << arch << ", data_type" << static_cast<int>(data_type) << ",op type "
-                  << type;
-    return kLiteError;
-  }
-
   kernel_creators_[provider][arch][index] = creator;
   return kSuccess;
 }
@@ -109,11 +136,11 @@ Status RegistryKernelImpl::RegKernel(const std::string &arch, const std::string
 registry::CreateKernel RegistryKernelImpl::GetCustomKernelCreator(const schema::Primitive *primitive,
                                                                   KernelDesc *desc) {
   int data_type_index = static_cast<int>(desc->data_type) - static_cast<int>(DataType::kNumberTypeBegin) - 1;
-  if (data_type_index < 0 || data_type_index >= kDataTypeLen) {
+  if (data_type_index < 0 || desc->data_type >= DataType::kNumberTypeEnd) {
     return nullptr;
   }
   auto param = primitive->value_as_Custom();
-  if (param == nullptr) {
+  if (param == nullptr || param->type() == nullptr) {
     return nullptr;
   }
   auto custom_type = param->type()->str();
diff --git a/mindspore/lite/src/registry/register_kernel_impl.h b/mindspore/lite/src/registry/register_kernel_impl.h
index 844f62d9528..666df603c1d 100644
--- a/mindspore/lite/src/registry/register_kernel_impl.h
+++ b/mindspore/lite/src/registry/register_kernel_impl.h
@@ -37,10 +37,10 @@ class RegistryKernelImpl {
   }
 
   Status RegCustomKernel(const std::string &arch, const std::string &provider, DataType data_type,
-                         const std::string &type, registry::CreateKernel creator);
+                         const std::string &type, const registry::CreateKernel creator);
 
   Status RegKernel(const std::string &arch, const std::string &provider, DataType data_type, int type,
-                   registry::CreateKernel creator);
+                   const registry::CreateKernel creator);
 
   virtual registry::CreateKernel GetProviderCreator(const schema::Primitive *primitive, registry::KernelDesc *desc);
 
@@ -60,7 +60,6 @@ class RegistryKernelImpl {
   std::mutex lock_;
 
   registry::CreateKernel GetCustomKernelCreator(const schema::Primitive *primitive, registry::KernelDesc *desc);
-  int GetFuncIndex(const registry::KernelDesc &desc);
 };
 }  // namespace mindspore::registry
 
diff --git a/mindspore/lite/src/registry/register_kernel_interface.cc b/mindspore/lite/src/registry/register_kernel_interface.cc
index d24fb5b391a..676805fe80b 100644
--- a/mindspore/lite/src/registry/register_kernel_interface.cc
+++ b/mindspore/lite/src/registry/register_kernel_interface.cc
@@ -22,7 +22,8 @@
 
 namespace mindspore {
 namespace registry {
-Status RegisterKernelInterface::Reg(const std::vector<char> &provider, int op_type, KernelInterfaceCreator creator) {
+Status RegisterKernelInterface::Reg(const std::vector<char> &provider, int op_type,
+                                    const KernelInterfaceCreator creator) {
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
   return KernelInterfaceRegistry::Instance()->Reg(CharToString(provider), op_type, creator);
 #else
@@ -32,7 +33,7 @@ Status RegisterKernelInterface::Reg(const std::vector<char> &provider, int op_ty
 }
 
 Status RegisterKernelInterface::CustomReg(const std::vector<char> &provider, const std::vector<char> &op_type,
-                                          KernelInterfaceCreator creator) {
+                                          const KernelInterfaceCreator creator) {
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
   return KernelInterfaceRegistry::Instance()->CustomReg(CharToString(provider), CharToString(op_type), creator);
 #else
@@ -41,10 +42,11 @@ Status RegisterKernelInterface::CustomReg(const std::vector<char> &provider, con
 #endif
 }
 
-std::shared_ptr<kernel::KernelInterface> RegisterKernelInterface::GetKernelInterface(
-  const std::vector<char> &provider, const schema::Primitive *primitive) {
+std::shared_ptr<kernel::KernelInterface> RegisterKernelInterface::GetKernelInterface(const std::vector<char> &provider,
+                                                                                     const schema::Primitive *primitive,
+                                                                                     const kernel::Kernel *kernel) {
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
-  return KernelInterfaceRegistry::Instance()->GetKernelInterface(CharToString(provider), primitive);
+  return KernelInterfaceRegistry::Instance()->GetKernelInterface(CharToString(provider), primitive, kernel);
 #else
   MS_LOG(ERROR) << unsupport_custom_kernel_register_log;
   return nullptr;
diff --git a/mindspore/lite/src/runtime/infer_manager.cc b/mindspore/lite/src/runtime/infer_manager.cc
index 90f85374d3a..c188f202039 100644
--- a/mindspore/lite/src/runtime/infer_manager.cc
+++ b/mindspore/lite/src/runtime/infer_manager.cc
@@ -34,23 +34,33 @@ namespace mindspore {
 namespace lite {
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
 int KernelInferShape(const std::vector<lite::Tensor *> &inputs, const std::vector<lite::Tensor *> &outputs,
-                     const void *primitive, std::set<std::string> &&providers, int schema_version) {
-  if (primitive == nullptr) {
+                     const void *primitive, std::set<std::string> &&providers, int schema_version,
+                     const kernel::Kernel *kernel) {
+  if (primitive == nullptr && kernel == nullptr) {
     return RET_NOT_SUPPORT;
   }
   std::shared_ptr<kernel::KernelInterface> kernel_interface = nullptr;
-  if (IsCustomNode(primitive, schema_version)) {
-    kernel_interface =
-      registry::RegisterKernelInterface::GetKernelInterface("", static_cast<const schema::Primitive *>(primitive));
+  bool is_custom_node = false;
+  if (kernel == nullptr) {
+    if (IsCustomNode(primitive, schema_version)) {
+      is_custom_node = true;
+    }
+  } else if (kernel->type() == schema::PrimitiveType_Custom) {
+    is_custom_node = true;
+  }
+  if (is_custom_node) {
+    kernel_interface = registry::RegisterKernelInterface::GetKernelInterface(
+      "", static_cast<const schema::Primitive *>(primitive), kernel);
   } else {
     for (auto &&provider : providers) {
       kernel_interface = registry::RegisterKernelInterface::GetKernelInterface(
-        provider, static_cast<const schema::Primitive *>(primitive));
+        provider, static_cast<const schema::Primitive *>(primitive), kernel);
       if (kernel_interface != nullptr) {
         break;
       }
     }
   }
+
   if (kernel_interface == nullptr) {
     return RET_NOT_SUPPORT;
   }
diff --git a/mindspore/lite/src/runtime/infer_manager.h b/mindspore/lite/src/runtime/infer_manager.h
index e5eb98a68b8..fccb2ed63ec 100644
--- a/mindspore/lite/src/runtime/infer_manager.h
+++ b/mindspore/lite/src/runtime/infer_manager.h
@@ -26,13 +26,15 @@
 #include "src/tensor.h"
 #include "nnacl/tensor_c.h"
 #include "nnacl/infer/infer.h"
+#include "include/api/kernel.h"
 
 namespace mindspore::lite {
 int KernelInferShape(const std::vector<lite::Tensor *> &tensors_in, const std::vector<lite::Tensor *> &outputs,
                      OpParameter *parameter);
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
 int KernelInferShape(const std::vector<lite::Tensor *> &inputs, const std::vector<lite::Tensor *> &outputs,
-                     const void *primitive, std::set<std::string> &&providers, int schema_version);
+                     const void *primitive, std::set<std::string> &&providers, int schema_version,
+                     const kernel::Kernel *kernel = nullptr);
 #endif
 class InferManager {
  public:
diff --git a/mindspore/lite/src/runtime/kernel/opencl/opencl_fusion.cc b/mindspore/lite/src/runtime/kernel/opencl/opencl_fusion.cc
index 8cde2a63a4a..ae6657daf45 100644
--- a/mindspore/lite/src/runtime/kernel/opencl/opencl_fusion.cc
+++ b/mindspore/lite/src/runtime/kernel/opencl/opencl_fusion.cc
@@ -428,7 +428,7 @@ int TryFusionConvScaleWeight(LiteKernel *conv_kernel, LiteKernel *scale_kernel)
   MS_ASSERT(conv_kernel);
   MS_ASSERT(scale_kernel);
   auto *scale_param =
-    reinterpret_cast<ScaleParameter *>(reinterpret_cast<OpenCLKernel *>(scale_kernel)->GetParameter());
+    reinterpret_cast<ScaleParameter *>(reinterpret_cast<OpenCLKernel *>(scale_kernel->kernel())->GetParameter());
   MS_ASSERT(scale_param);
   MS_ASSERT(conv_kernel->in_tensors().size() >= INPUT_TENSOR_SIZE_2);
   auto *filter = conv_kernel->in_tensors().at(1);
diff --git a/mindspore/lite/src/scheduler.cc b/mindspore/lite/src/scheduler.cc
index a87c42b0af3..07aac24690a 100644
--- a/mindspore/lite/src/scheduler.cc
+++ b/mindspore/lite/src/scheduler.cc
@@ -1376,6 +1376,9 @@ kernel::LiteKernel *Scheduler::ScheduleNodeToKernel(const lite::Model::Node *src
 
   SetKernelTensorDataType(kernel);
   kernel->set_name(src_node->name_);
+  if (kernel->kernel() != nullptr) {
+    kernel->kernel()->SetConfig(config_info_);
+  }
   return kernel;
 }
 
diff --git a/mindspore/lite/src/scheduler.h b/mindspore/lite/src/scheduler.h
index 69be1ab474f..d1e0d73c0aa 100644
--- a/mindspore/lite/src/scheduler.h
+++ b/mindspore/lite/src/scheduler.h
@@ -59,6 +59,9 @@ class Scheduler {
   ~Scheduler() = default;
   int Schedule(std::vector<kernel::LiteKernel *> *dst_kernels);
   void SetupSchedulerCb(std::unique_ptr<SchedulerCb> cb) { sched_cb_ = std::move(cb); }
+  void SetConfig(const std::map<std::string, std::map<std::string, std::string>> *config_info) {
+    config_info_ = config_info;
+  }
 
  private:
   int SchedulePreProcess();
@@ -165,6 +168,7 @@ class Scheduler {
 #endif
   int schema_version_ = SCHEMA_VERSION::SCHEMA_CUR;
   std::map<std::string, TypeId> *execution_plan_ = nullptr;
+  const std::map<std::string, std::map<std::string, std::string>> *config_info_ = nullptr;
 };
 }  // namespace mindspore::lite
 
diff --git a/mindspore/lite/src/sub_graph_kernel.cc b/mindspore/lite/src/sub_graph_kernel.cc
index 36ea65d37b1..b03d82d8aaa 100644
--- a/mindspore/lite/src/sub_graph_kernel.cc
+++ b/mindspore/lite/src/sub_graph_kernel.cc
@@ -92,7 +92,7 @@ int SubGraphKernel::ReSize() {
     int ret;
 #ifndef CUSTOM_KERNEL_REGISTRY_CLIP
     ret = lite::KernelInferShape(inputs, outputs, kernel->kernel()->primitive(), kernel->Context()->GetProviders(),
-                                 schema_version_);
+                                 schema_version_, kernel->kernel());
     if (ret == lite::RET_NOT_SUPPORT) {
 #endif
       auto parameter = kernel->op_parameter();
diff --git a/mindspore/lite/test/st/mix_data_type_test.cc b/mindspore/lite/test/st/mix_data_type_test.cc
index 79af9ac5215..cb96cb3f408 100644
--- a/mindspore/lite/test/st/mix_data_type_test.cc
+++ b/mindspore/lite/test/st/mix_data_type_test.cc
@@ -51,10 +51,10 @@ TEST_F(MixDataTypeTest, Config1) {
 
   std::string filename = "MixDataTypeTestConfig";
   std::string sectionname = "execution_plan";
-  std::map<std::string, std::string> config_info;
-  ret = lite::GetSectionInfoFromConfigFile(filename, sectionname, &config_info);
+  std::map<std::string, std::map<std::string, std::string>> configs;
+  ret = lite::GetAllSectionInfoFromConfigFile(filename, &configs);
   ASSERT_EQ(ret, 0);
-
+  std::map<std::string, std::string> config_info = configs[sectionname];
   ASSERT_EQ(config_info.size(), 2);
 
   auto info0 = config_info.at("op1");