!320 update ge_runtime, modify cmake files for compiling with MindSpore

From: @ljl0711
Reviewed-by: @youui,@liujunzhu
Signed-off-by: @liujunzhu

CMakeLists.txt

@@ -8,6 +8,19 @@ if (NOT BUILD_PATH)
     set(BUILD_PATH "${CMAKE_SOURCE_DIR}/build")
 endif()
 
+if(DEFINED ENV{ASCEND_CUSTOM_PATH})
+    set(ASCEND_DIR $ENV{ASCEND_CUSTOM_PATH})
+else()
+    set(ASCEND_DIR /usr/local/Ascend)
+endif()
+set(ASCEND_DRIVER_DIR ${ASCEND_DIR}/driver/lib64)
+set(ASCEND_DRIVER_COMMON_DIR ${ASCEND_DIR}/driver/lib64/common)
+set(ASCEND_DRIVER_SHARE_DIR ${ASCEND_DIR}/driver/lib64/share)
+set(ASCEND_RUNTIME_DIR ${ASCEND_DIR}/fwkacllib/lib64)
+set(ASCEND_ATC_DIR ${ASCEND_DIR}/atc/lib64)
+set(ASCEND_ACL_DIR ${ASCEND_DIR}/acllib/lib64)
+set(STATIC_ACL_LIB ${ASCEND_ACL_DIR})
+
 option(ENABLE_OPEN_SRC "Enable graphengine compile in opensource." FALSE)
 
 if (ENABLE_OPEN_SRC)
@@ -41,7 +54,7 @@ if (ENABLE_OPEN_SRC)
             message(FATAL_ERROR "Running on a unsupported architecture: ${SYSTEM_TYPE}, build terminated")
         endif()
         set(GE_LIB_PATH ${GE_LIB_PATH}/${GE_SYS_ARCH})
-	set(STATIC_ACL_LIB ${GE_LIB_PATH})
+        set(STATIC_ACL_LIB ${GE_LIB_PATH})
         find_module(slog libslog.so ${GE_LIB_PATH})
         find_module(mmpa libmmpa.so ${GE_LIB_PATH})
         find_module(msprof libmsprof.so ${GE_LIB_PATH})
@@ -56,18 +69,6 @@ if (ENABLE_OPEN_SRC)
         find_module(msprofiler libmsprofiler.a ${GE_LIB_PATH})
 	#find_module(ascendcl_static libascendcl.a ${GE_LIB_PATH})
     else()
-        if(DEFINED ENV{ASCEND_CUSTOM_PATH})
-            set(ASCEND_DIR $ENV{ASCEND_CUSTOM_PATH})
-        else()
-            set(ASCEND_DIR /usr/local/Ascend)
-        endif()
-        set(ASCEND_DRIVER_DIR ${ASCEND_DIR}/driver/lib64)
-        set(ASCEND_DRIVER_COMMON_DIR ${ASCEND_DIR}/driver/lib64/common)
-        set(ASCEND_DRIVER_SHARE_DIR ${ASCEND_DIR}/driver/lib64/share)
-        set(ASCEND_RUNTIME_DIR ${ASCEND_DIR}/fwkacllib/lib64)
-        set(ASCEND_ATC_DIR ${ASCEND_DIR}/atc/lib64)
-        set(ASCEND_ACL_DIR ${ASCEND_DIR}/acllib/lib64)
-	set(STATIC_ACL_LIB ${ASCEND_ACL_DIR})
         find_module(slog libslog.so ${ASCEND_ATC_DIR})
         find_module(mmpa libmmpa.so ${ASCEND_ATC_DIR})
         if(PLATFORM STREQUAL "train")
@@ -127,6 +128,36 @@ if (ENABLE_OPEN_SRC)
     add_subdirectory(parser)
     #add_subdirectory(metadef/graph)
     #add_subdirectory(metadef/register)
+elseif (ENABLE_D OR ENABLE_ACL)
+    # compiling with MindSpore
+    include(cmake/external_libs/protobuf_static.cmake)
+    include(cmake/external_libs/protoc.cmake)
+    include(cmake/external_libs/securec.cmake)
+    include(cmake/external_libs/json.cmake)
+    include(cmake/FindModule.cmake)
+    include(cmake/intf_pub_linux.cmake)
+
+    # common modules
+    find_module(slog libslog.so ${ASCEND_DRIVER_COMMON_DIR})
+    find_module(mmpa libmmpa.so ${ASCEND_DRIVER_COMMON_DIR})
+
+    if (ENABLE_D)
+        # training
+        find_module(runtime libruntime.so ${ASCEND_RUNTIME_DIR})
+        find_module(error_manager liberror_manager.so ${ASCEND_RUNTIME_DIR})
+        find_module(register libregister.so ${ASCEND_RUNTIME_DIR})
+        find_module(resource libresource.so ${ASCEND_RUNTIME_DIR})
+    elseif(ENABLE_ACL)
+        # inference
+        find_module(msprof libmsprof.so ${ASCEND_DRIVER_COMMON_DIR})
+        find_module(adump_server libadump_server.a ${ASCEND_ACL_DIR})
+        find_module(runtime_compile libruntime_compile.so ${ASCEND_ATC_DIR})
+        find_module(resource libresource.so ${ASCEND_ATC_DIR})
+        find_module(error_manager liberror_manager.so ${ASCEND_ATC_DIR})
+    endif ()
+
+    set(METADEF_DIR ${CMAKE_CURRENT_LIST_DIR}/metadef)
+    add_subdirectory(metadef)
 else()
     set(METADEF_DIR ${CMAKE_CURRENT_LIST_DIR}/../metadef)
     set(PARSER_DIR ${CMAKE_CURRENT_LIST_DIR}/../parser)

cmake/external_libs/protobuf_static.cmake

@@ -48,5 +48,8 @@ set_target_properties(ascend_protobuf_static_lib PROPERTIES
 add_library(ascend_protobuf_static INTERFACE)
 target_include_directories(ascend_protobuf_static INTERFACE ${PROTOBUF_STATIC_PKG_DIR}/include)
 target_link_libraries(ascend_protobuf_static INTERFACE ascend_protobuf_static_lib)
+if (ENABLE_D OR ENABLE_ACL)
+include_directories(${PROTOBUF_STATIC_PKG_DIR}/include)
+endif ()
 
 add_dependencies(ascend_protobuf_static protobuf_static_build)

ge/CMakeLists.txt

@@ -1,10 +1,15 @@
-add_subdirectory(common)
-add_subdirectory(plugin/engine)
-add_subdirectory(graph/build/memory)
-add_subdirectory(ge_local_engine)
-add_subdirectory(host_cpu_engine)
-add_subdirectory(executor)
-add_subdirectory(offline)
+if (NOT ENABLE_D AND NOT ENABLE_ACL)
+    add_subdirectory(common)
+    add_subdirectory(plugin/engine)
+    add_subdirectory(graph/build/memory)
+    add_subdirectory(ge_local_engine)
+    add_subdirectory(host_cpu_engine)
+    add_subdirectory(executor)
+    add_subdirectory(offline)
+else()
+    add_subdirectory(common)
+    add_subdirectory(ge_runtime)
+endif ()
 
 set(PROTO_LIST
     "${METADEF_DIR}/proto/fusion_model.proto"
@@ -28,7 +33,6 @@ protobuf_generate(ge PROTO_SRCS PROTO_HDRS ${PROTO_LIST})
 protobuf_generate(ge PROTO_CLIENT_SRCS PROTO_CLIENT_HDRS ${PROTO_CLIENT_LIST})
 protobuf_generate(ge PROTO_HEADER_SRCS PROTO_HEADER_HDRS ${PROTO_HEADER_LIST})
 
-############ libge_runner.so ############
 set(TRAIN_SRC_LIST
     "common/formats/format_transfers/datatype_transfer.cc"
     "common/formats/format_transfers/format_transfer_c1hwncoc0_hwcn.cc"
@@ -333,72 +337,6 @@ set(TRAIN_SRC_LIST
     "ir_build/atc_ir_common.cc"
 )
 
-add_library(ge_runner SHARED ${TRAIN_SRC_LIST} ${PROTO_SRCS} ${PROTO_CLIENT_SRCS})
-
-target_compile_definitions(ge_runner PRIVATE
-    PROTOBUF_INLINE_NOT_IN_HEADERS=0
-    DAVINCI_SUPPORT_PROFILING
-    REUSE_MEMORY=1
-    FMK_SUPPORT_DUMP
-    DAVINCI_CLOUD
-    google=ascend_private
-)
-
-target_compile_options(ge_runner PRIVATE
-    -O2
-)
-
-target_include_directories(ge_runner PRIVATE
-    ${GE_CODE_DIR}/ge
-    ${GE_CODE_DIR}/ge/analyzer
-    ${GE_CODE_DIR}/inc
-    ${GE_CODE_DIR}/inc/external
-    ${GE_CODE_DIR}/inc/framework
-    ${GE_CODE_DIR}/inc/framework/common
-    ${METADEF_DIR}
-    ${METADEF_DIR}/inc
-    ${METADEF_DIR}/inc/external/graph
-    ${METADEF_DIR}/inc/external
-    ${METADEF_DIR}/inc/graph
-    ${CMAKE_BINARY_DIR}
-    ${CMAKE_BINARY_DIR}/proto/ge
-    #### yellow zone ####
-    ${GE_CODE_DIR}/../inc
-    ${GE_CODE_DIR}/../inc/external
-    ${GE_CODE_DIR}/../inc/cce
-    ${GE_CODE_DIR}/../toolchain/ide/ide-daemon/external
-    #### blue zone
-    ${ASCEND_DIR}/driver/include
-    ${ASCEND_DIR}/fwkacllib/include
-    ${GE_CODE_DIR}/third_party/fwkacllib/inc
-    ${GE_CODE_DIR}/third_party/fwkacllib/inc/toolchain
-)
-
-target_link_libraries(ge_runner
-    $<BUILD_INTERFACE:intf_pub>
-    ge_memory
-    adump_server
-    msprofiler
-    -Wl,--no-as-needed
-    graph
-    ge_common
-    ascend_protobuf
-    register
-    c_sec
-    slog
-    mmpa
-    msprof
-    runtime
-    resource
-    error_manager
-    ascend_hal_stub
-    -Wl,--as-needed
-    json
-    -lrt
-    -ldl
-)
-
-############ libge_compiler.so ############
 set(INFER_SRC_LIST
     "graph/manager/trans_var_data_utils.cc"
     "omm/csa_interact.cc"
@@ -662,6 +600,74 @@ set(INFER_SRC_LIST
     "analyzer/analyzer.cc"
 )
 
+if (NOT ENABLE_D AND NOT ENABLE_ACL)
+############ libge_runner.so ############
+add_library(ge_runner SHARED ${TRAIN_SRC_LIST} ${PROTO_SRCS} ${PROTO_CLIENT_SRCS})
+
+target_compile_definitions(ge_runner PRIVATE
+    PROTOBUF_INLINE_NOT_IN_HEADERS=0
+    DAVINCI_SUPPORT_PROFILING
+    REUSE_MEMORY=1
+    FMK_SUPPORT_DUMP
+    DAVINCI_CLOUD
+    google=ascend_private
+)
+
+target_compile_options(ge_runner PRIVATE
+    -O2
+)
+
+target_include_directories(ge_runner PRIVATE
+    ${GE_CODE_DIR}/ge
+    ${GE_CODE_DIR}/ge/analyzer
+    ${GE_CODE_DIR}/inc
+    ${GE_CODE_DIR}/inc/external
+    ${GE_CODE_DIR}/inc/framework
+    ${GE_CODE_DIR}/inc/framework/common
+    ${METADEF_DIR}
+    ${METADEF_DIR}/inc
+    ${METADEF_DIR}/inc/external/graph
+    ${METADEF_DIR}/inc/external
+    ${METADEF_DIR}/inc/graph
+    ${CMAKE_BINARY_DIR}
+    ${CMAKE_BINARY_DIR}/proto/ge
+    #### yellow zone ####
+    ${GE_CODE_DIR}/../inc
+    ${GE_CODE_DIR}/../inc/external
+    ${GE_CODE_DIR}/../inc/cce
+    ${GE_CODE_DIR}/../toolchain/ide/ide-daemon/external
+    #### blue zone
+    ${ASCEND_DIR}/driver/include
+    ${ASCEND_DIR}/fwkacllib/include
+    ${GE_CODE_DIR}/third_party/fwkacllib/inc
+    ${GE_CODE_DIR}/third_party/fwkacllib/inc/toolchain
+)
+
+target_link_libraries(ge_runner
+    $<BUILD_INTERFACE:intf_pub>
+    ge_memory
+    adump_server
+    msprofiler
+    -Wl,--no-as-needed
+    graph
+    ge_common
+    ascend_protobuf
+    register
+    c_sec
+    slog
+    mmpa
+    msprof
+    runtime
+    resource
+    error_manager
+    ascend_hal_stub
+    -Wl,--as-needed
+    json
+    -lrt
+    -ldl
+)
+
+############ libge_compiler.so ############
 add_library(ge_compiler SHARED ${INFER_SRC_LIST} ${PROTO_SRCS})
 
 target_compile_definitions(ge_compiler PRIVATE
@@ -919,3 +925,70 @@ install(FILES
     ${CMAKE_CURRENT_BINARY_DIR}/optimizer_priority.pbtxt OPTIONAL
     DESTINATION ${INSTALL_LIBRARY_DIR}
 )
+
+elseif (ENABLE_ACL)
+
+############ libge_compiler.so w/static protobuf ############
+add_library(ge_compiler SHARED ${INFER_SRC_LIST} ${PROTO_SRCS})
+
+target_compile_definitions(ge_compiler PRIVATE
+    PROTOBUF_INLINE_NOT_IN_HEADERS=0
+    REUSE_MEMORY=1
+    FMK_SUPPORT_DUMP
+    FMK_HOST_INFER
+    COMPILE_OMG_PACKAGE
+    google=ascend_private
+)
+
+target_compile_options(ge_compiler PRIVATE
+    -O2
+)
+
+target_include_directories(ge_compiler PRIVATE
+    ${GE_CODE_DIR}/ge
+    ${GE_CODE_DIR}/ge/analyzer
+    ${GE_CODE_DIR}/inc
+    ${GE_CODE_DIR}/inc/external
+    ${GE_CODE_DIR}/inc/framework
+    ${GE_CODE_DIR}/inc/framework/common
+    ${METADEF_DIR}
+    ${METADEF_DIR}/inc
+    ${METADEF_DIR}/inc/external/graph
+    ${METADEF_DIR}/inc/external
+    ${METADEF_DIR}/inc/graph
+    ${CMAKE_BINARY_DIR}
+    ${CMAKE_BINARY_DIR}/proto/ge
+    ${ASCEND_DIR}/driver/include
+    ${ASCEND_DIR}/fwkacllib/include
+    ${GE_CODE_DIR}/third_party/fwkacllib/inc
+    ${GE_CODE_DIR}/third_party/fwkacllib/inc/toolchain
+)
+
+target_link_libraries(ge_compiler
+    $<BUILD_INTERFACE:intf_pub>
+    ge_memory
+    -Wl,--no-as-needed
+    graph
+    ge_common
+    static_ascend_protobuf
+    register
+    c_sec
+    error_manager
+    slog
+    mmpa
+    runtime_compile
+    resource
+    -Wl,--as-needed
+    json
+    -lrt
+    -ldl
+)
+
+############ install libge_compiler for MindSpore############
+set(INSTALL_BASE_DIR "")
+set(INSTALL_LIBRARY_DIR lib)
+
+install(TARGETS ge_compiler OPTIONAL
+    LIBRARY DESTINATION ${INSTALL_LIBRARY_DIR}
+)
+endif()

ge/common/CMakeLists.txt

@@ -63,6 +63,7 @@ set(SRC_LIST
     "ge/tbe_plugin_manager.cc"
 )
 
+if (NOT ENABLE_D AND NOT ENABLE_ACL)
 ############ libge_common.so ############
 add_library(ge_common SHARED ${SRC_LIST} ${PROTO_HDRS})
 target_compile_definitions(ge_common PRIVATE
@@ -164,6 +165,57 @@ target_link_libraries(ge_common_static PRIVATE
     -ldl
 )
 
+else ()
+############ libge_common.so w/static protobuf ############
+add_library(ge_common SHARED ${SRC_LIST} ${PROTO_HDRS})
+target_compile_definitions(ge_common PRIVATE
+    PROTOBUF_INLINE_NOT_IN_HEADERS=0
+    HOST_VISIBILITY
+    FMK_SUPPORT_DUMP
+    OS_CENTOS
+    google=ascend_private
+)
+
+target_compile_options(ge_common PRIVATE
+    -fvisibility=hidden
+    -O2
+    -Werror
+)
+
+target_include_directories(ge_common PRIVATE
+    ${GE_CODE_DIR}/ge
+    ${GE_CODE_DIR}/ge/common
+    ${GE_CODE_DIR}/ge/common/op
+    ${GE_CODE_DIR}/inc/external
+    ${GE_CODE_DIR}/inc
+    ${GE_CODE_DIR}/inc/framework
+    ${METADEF_DIR}/inc
+    ${METADEF_DIR}/inc/external
+    ${METADEF_DIR}/inc/external/graph
+    ${METADEF_DIR}/inc/graph
+    ${CMAKE_BINARY_DIR}
+    ${CMAKE_BINARY_DIR}/proto/ge
+    ${GE_CODE_DIR}/third_party/fwkacllib/inc
+    ${GE_CODE_DIR}/third_party/fwkacllib/inc/toolchain
+)
+
+target_link_libraries(ge_common PRIVATE
+    $<BUILD_INTERFACE:intf_pub>
+    ascend_protobuf_static
+    -Wl,--no-as-needed
+    graph
+    register
+    c_sec
+    error_manager
+    slog
+    mmpa
+    -Wl,--as-needed
+    json
+    -lrt
+    -ldl
+)
+endif ()
+
 ############ install ############
 set(INSTALL_BASE_DIR "")
 set(INSTALL_LIBRARY_DIR lib)

ge/ge_runtime/CMakeLists.txt

@@ -27,14 +27,22 @@ target_compile_definitions(ge_runtime PRIVATE
 )
 
 target_include_directories(ge_runtime PRIVATE
-    ${TOP_DIR}
-    ${TOP_DIR}/inc
-    ${TOP_DIR}/inc/graph
-    ${TOP_DIR}/inc/external
-    ${TOP_DIR}/inc/framework
-    ${TOP_DIR}/inc/framework/common
-    ${TOP_DIR}/inc/framework/ge_runtime
-    ${TOP_DIR}/inc/cce
+    ${CMAKE_CURRENT_LIST_DIR}
+    ${GE_CODE_DIR}
+    ${GE_CODE_DIR}/ge
+    ${GE_CODE_DIR}/inc
+    ${GE_CODE_DIR}/inc/graph
+    ${GE_CODE_DIR}/inc/external
+    ${GE_CODE_DIR}/inc/framework
+    ${GE_CODE_DIR}/inc/framework/common
+    ${GE_CODE_DIR}/inc/framework/ge_runtime
+    ${GE_CODE_DIR}/inc/cce
+    ${GE_CODE_DIR}/third_party/fwkacllib/inc
+    ${METADEF_DIR}
+    ${METADEF_DIR}/inc
+    ${METADEF_DIR}/inc/external/graph
+    ${METADEF_DIR}/inc/external
+    ${METADEF_DIR}/inc/graph
     ${CMAKE_BINARY_DIR}
     ${CMAKE_BINARY_DIR}/proto/ge
 )
@@ -45,6 +53,7 @@ target_link_libraries(ge_runtime PRIVATE
     slog
     runtime
     c_sec
+    graph
     -Wl,--as-needed
     -lrt
     -ldl

ge/ge_runtime/model_context.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright 2019-2020 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.
@@ -27,8 +27,13 @@ class ModelContext {
   ModelContext(uint32_t device_id, uint64_t session_id, int32_t priority, rtModel_t rt_model_handle,
                rtStream_t rt_model_stream, const std::vector<rtStream_t> &stream_list,
                const std::vector<rtLabel_t> &label_list, const std::vector<rtEvent_t> &event_list)
-      : device_id_(device_id), session_id_(session_id), priority_(priority), rt_model_handle_(rt_model_handle),
-        rt_model_stream_(rt_model_stream), stream_list_(stream_list), label_list_(label_list),
+      : device_id_(device_id),
+        session_id_(session_id),
+        priority_(priority),
+        rt_model_handle_(rt_model_handle),
+        rt_model_stream_(rt_model_stream),
+        stream_list_(stream_list),
+        label_list_(label_list),
         event_list_(event_list) {}
   ~ModelContext() {}
 

ge/ge_runtime/model_runner.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright 2019-2020 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.
@@ -24,6 +24,7 @@
 
 namespace ge {
 namespace model_runner {
+
 using RuntimeModelPtr = std::shared_ptr<RuntimeModel>;
 using DavinciModelPtr = std::shared_ptr<DavinciModel>;
 

ge/ge_runtime/output.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright 2019-2020 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.
@@ -89,5 +89,6 @@ bool Output::SetDataBuf(DataBuffer &data_buf, uint32_t data_begin, uint32_t &dat
                         bool support_mem_share) {
   return true;
 }
+
 }  // namespace model_runner
 }  // namespace ge

ge/ge_runtime/output.h

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright 2019-2020 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.
@@ -24,6 +24,7 @@
 
 namespace ge {
 namespace model_runner {
+
 class Output {
  public:
   Output(const OpInfoPtr &op_info, const std::shared_ptr<DavinciModel> &model);
@@ -32,8 +33,7 @@ class Output {
 
   bool CopyRslt(OutputData *rslt, uint32_t data_begin, uint32_t &data_index, bool support_mem_share);
 
-  bool SetDataBuf(DataBuffer &data_buf, uint32_t data_begin, uint32_t &data_count, size_t i,
-                  bool support_mem_share);
+  bool SetDataBuf(DataBuffer &data_buf, uint32_t data_begin, uint32_t &data_count, size_t i, bool support_mem_share);
 
   // Copy assignment operator and copy constructor are deleted
   Output &operator=(const Output &output) = delete;

ge/ge_runtime/runtime_model.cc

@@ -74,8 +74,8 @@ bool RuntimeModel::InitStream(std::shared_ptr<DavinciModel> &davinci_model) {
   for (uint32_t i = 0; i < davinci_model->GetStreamNum(); ++i) {
     rtStream_t stream = nullptr;
     uint32_t flag = (force_copy_streams.find(i) != force_copy_streams.end())
-                        ? (RT_STREAM_PERSISTENT | RT_STREAM_FORCE_COPY)
-                        : (RT_STREAM_PERSISTENT);
+                      ? (RT_STREAM_PERSISTENT | RT_STREAM_FORCE_COPY)
+                      : (RT_STREAM_PERSISTENT);
 
     rtError_t rt_ret = rtStreamCreateWithFlags(&stream, davinci_model->GetPriority(), flag);
     if (rt_ret != RT_ERROR_NONE) {
@@ -115,23 +115,34 @@ bool RuntimeModel::InitEvent(uint32_t event_num) {
   return true;
 }
 
-bool RuntimeModel::InitLabel(uint32_t batch_num) {
-  GELOGI("batch number:%u.", batch_num);
-  for (uint32_t i = 0; (batch_num != 0 && i <= batch_num); ++i) {
-    rtLabel_t rt_lLabel = nullptr;
-    rtError_t rt_ret = rtLabelCreate(&rt_lLabel);
-    if (rt_ret != RT_ERROR_NONE) {
-      GELOGE(RT_FAILED, "Call rt api rtLabelCreate failed, i; %u; ret: 0x%X", i, rt_ret);
-      return false;
+bool RuntimeModel::InitLabel(std::shared_ptr<DavinciModel> &davinci_model) {
+  GELOGI("batch number:%u.", davinci_model->GetBatchNum());
+  label_list_.resize(davinci_model->GetBatchNum());
+  for (auto &task_info : davinci_model->GetTaskInfoList()) {
+    if (task_info == nullptr) {
+      GELOGE(PARAM_INVALID, "task_info is null.");
+      continue;
+    }
+
+    if (task_info->type() != TaskInfoType::LABEL_SET) {
+      continue;
     }
+    auto label_set_task_info = std::static_pointer_cast<LabelSetTaskInfo>(task_info);
 
-    if (rt_lLabel == nullptr) {
-      GELOGE(RT_FAILED, "rtLabel is nullptr!");
+    if (label_set_task_info->stream_id() >= stream_list_.size()) {
+      GELOGE(PARAM_INVALID, "Invalid stream id.");
       return false;
     }
 
-    label_list_.emplace_back(rt_lLabel);
+    rtLabel_t rt_label = nullptr;
+    rtError_t rt_ret = rtLabelCreateEx(&rt_label, stream_list_[label_set_task_info->stream_id()]);
+    if (rt_ret != RT_ERROR_NONE) {
+      GELOGE(RT_FAILED, "Call rt api rtLabelCreate failed, ret: 0x%X", rt_ret);
+      return false;
+    }
+    label_list_[label_set_task_info->label_id()] = rt_label;
   }
+
   return true;
 }
 
@@ -163,7 +174,7 @@ bool RuntimeModel::InitResource(std::shared_ptr<DavinciModel> &davinci_model) {
     return false;
   }
 
-  if (!InitLabel(davinci_model->GetBatchNum())) {
+  if (!InitLabel(davinci_model)) {
     return false;
   }
 
@@ -281,7 +292,6 @@ bool RuntimeModel::DistributeTask() {
     GELOGE(FAILED, "DistributeTask failed");
     return false;
   }
-
   return true;
 }
 
@@ -293,10 +303,14 @@ bool RuntimeModel::Run() {
     return false;
   }
 
-  GELOGI("Run rtModelExecute success");
+  GELOGI("Run rtModelExecute success, ret = 0x%X", ret);
 
   ret = rtStreamSynchronize(rt_model_stream_);
   if (ret != RT_ERROR_NONE) {
+    if (ret == RT_ERROR_END_OF_SEQUENCE) {
+      GELOGI("Model stream RT_ERROR_END_OF_SEQUENCE signal received, ret = 0x%X", ret);
+      return true;
+    }
     GELOGE(RT_FAILED, "Model stream sync failed, ret = 0x%X", ret);
     return false;
   }
@@ -330,6 +344,9 @@ void RuntimeModel::RtStreamDestory() noexcept {
 
 void RuntimeModel::RtLabelDestory() noexcept {
   for (size_t i = 0; i < label_list_.size(); i++) {
+    if (label_list_[i] == nullptr) {
+      continue;
+    }
     if (rtLabelDestroy(label_list_[i]) != RT_ERROR_NONE) {
       GELOGE(RT_FAILED, "Destroy label failed! Index: %zu.", i);
       return;
@@ -471,11 +488,8 @@ bool RuntimeModel::InitConstantInfo(std::shared_ptr<DavinciModel> &davinci_model
       /// The logic of GetShapeSize is wrong, the scaler tensor's GetShapeSize is zero
       /// and that of unknown shape is zero too.
       /// Unknown shape will not appear here, so we can use zero judge a tensor is scaler or not.
-      int64_t elem_num = constant->weight_tensors[0].GetShapeSize();
-      if (elem_num == 0 && constant->weight_tensors[0].size == 0) {
-        elem_num = 1;
-      }
-
+      int64_t elem_num =
+        (constant->weight_tensors[0].GetShapeSize() == 0) ? 1 : constant->weight_tensors[0].GetShapeSize();
       if (constant->weight_data.size() < sizeof(uint64_t)) {
         GELOGE(FAILED, "weight_data size is smaller than sizeof(uint64_t)");
         return false;

ge/ge_runtime/runtime_model.h

@@ -40,13 +40,11 @@ class RuntimeModel {
   const std::vector<uint32_t> &GetTaskIdList() const;
   const std::vector<uint32_t> &GetStreamIdList() const;
   const std::map<std::string, std::shared_ptr<RuntimeInfo>> &GetRuntimeInfoMap() const { return runtime_info_map_; }
-  const rtModel_t GetModelHandle() const { return rt_model_handle_; }
+  rtModel_t GetModelHandle() const { return rt_model_handle_; }
   bool Run();
   bool CopyInputData(const InputData &input_data);
-  bool GetInputOutputDescInfo(bool zero_copy,
-                              std::vector<InputOutputDescInfo> *input_desc,
-                              std::vector<InputOutputDescInfo> *output_desc,
-                              std::vector<uint32_t> *input_format,
+  bool GetInputOutputDescInfo(bool zero_copy, std::vector<InputOutputDescInfo> *input_desc,
+                              std::vector<InputOutputDescInfo> *output_desc, std::vector<uint32_t> *input_format,
                               std::vector<uint32_t> *output_format);
 
  private:
@@ -55,7 +53,7 @@ class RuntimeModel {
   bool LoadTask();
   bool InitStream(std::shared_ptr<DavinciModel> &davinci_model);
   bool InitEvent(uint32_t event_num);
-  bool InitLabel(uint32_t batch_num);
+  bool InitLabel(std::shared_ptr<DavinciModel> &davinci_model);
   bool InitDataInfo(std::shared_ptr<DavinciModel> &davinci_model);
   bool InitOutputInfo(std::shared_ptr<DavinciModel> &davinci_model);
   bool InitConstantInfo(std::shared_ptr<DavinciModel> &davinci_model);
@@ -87,6 +85,7 @@ class RuntimeModel {
   std::vector<uint32_t> stream_id_list_{};
   std::map<std::string, std::shared_ptr<RuntimeInfo>> runtime_info_map_;
 };
+
 }  // namespace model_runner
 }  // namespace ge
 

ge/ge_runtime/task/aicpu_task.cc

@@ -26,6 +26,7 @@ AicpuTask::AicpuTask(const ModelContext &model_context, const std::shared_ptr<Ai
       task_info_(task_info),
       stream_(nullptr),
       args_(nullptr),
+      ext_info_(nullptr),
       input_output_addr_(nullptr) {
   if (task_info_ == nullptr) {
     GELOGW("task_info_ is null!");
@@ -41,7 +42,10 @@ AicpuTask::AicpuTask(const ModelContext &model_context, const std::shared_ptr<Ai
   }
 }
 
-AicpuTask::~AicpuTask() { ReleaseRtMem(&args_); }
+AicpuTask::~AicpuTask() {
+  ReleaseRtMem(&args_);
+  ReleaseRtMem(&ext_info_);
+}
 
 bool AicpuTask::Distribute() {
   GELOGI("InitAicpuTask start.");
@@ -51,10 +55,37 @@ bool AicpuTask::Distribute() {
   auto io_addrs_num = static_cast<uint32_t>(io_addrs.size());
   auto io_addrs_size = static_cast<uint32_t>(io_addrs_num * sizeof(void *));
   constexpr uint32_t io_addr_offset = sizeof(aicpu::AicpuParamHead);
-  uint32_t node_def_addr_offset = io_addr_offset + io_addrs_size;
-  uint32_t args_size =
-      sizeof(aicpu::AicpuParamHead) + io_addrs_size + static_cast<uint32_t>(task_info_->node_def().size());
-  aicpu::AicpuParamHead aicpu_param_head = {args_size, io_addrs_num};
+  uint32_t node_def_len_offset = io_addr_offset + io_addrs_size;
+  uint32_t node_def_addr_offset = node_def_len_offset + sizeof(uint32_t);
+  uint32_t args_size = sizeof(aicpu::AicpuParamHead) + io_addrs_size +
+                       static_cast<uint32_t>(task_info_->node_def().size()) + sizeof(uint32_t);
+
+  aicpu::AicpuParamHead aicpu_param_head;
+  aicpu_param_head.length = args_size;
+  aicpu_param_head.ioAddrNum = io_addrs_num;
+  auto ext_info = task_info_->ext_info();
+  uint32_t ext_size = ext_info.size();
+  if (ext_info.empty()) {
+    aicpu_param_head.extInfoLength = 0;
+    aicpu_param_head.extInfoAddr = 0;
+  } else {
+    rtError_t flag = rtMalloc(&ext_info_, ext_size, RT_MEMORY_HBM);
+    if (flag != RT_ERROR_NONE) {
+      GELOGE(RT_FAILED, "Call rt api(rtMalloc) failed, ret: 0x%X.", flag);
+      return false;
+    }
+
+    flag = rtMemcpy(ext_info_, ext_size, const_cast<void *>(reinterpret_cast<const void *>(ext_info.data())), ext_size,
+                    RT_MEMCPY_HOST_TO_DEVICE);
+    if (flag != RT_ERROR_NONE) {
+      GELOGE(RT_FAILED, "Call rt api(rtMemCpy) failed, ret: 0x%X.", flag);
+      return false;
+    }
+
+    GELOGI("ext info size:", ext_size);
+    aicpu_param_head.extInfoLength = ext_size;
+    aicpu_param_head.extInfoAddr = reinterpret_cast<uintptr_t>(ext_info_);
+  }
 
   // Malloc device memory for args
   rtError_t rt_ret = rtMalloc(&args_, args_size, RT_MEMORY_HBM);
@@ -80,6 +111,17 @@ bool AicpuTask::Distribute() {
       return false;
     }
   }
+
+  // Memcpy node def
+  auto size = task_info_->node_def().size();
+  rt_ret =
+    rtMemcpy(reinterpret_cast<void *>(reinterpret_cast<uint8_t *>(args_) + node_def_len_offset), sizeof(uint32_t),
+             reinterpret_cast<const void *>(&size), sizeof(uint32_t), RT_MEMCPY_HOST_TO_DEVICE);
+  if (rt_ret != RT_ERROR_NONE) {
+    GELOGE(RT_FAILED, "Call rt api(rtMemcpy) failed, ret: 0x%X.", rt_ret);
+    return false;
+  }
+
   // Memcpy node def
   rt_ret = rtMemcpy(reinterpret_cast<void *>(reinterpret_cast<uint8_t *>(args_) + node_def_addr_offset),
                     task_info_->node_def().size(), reinterpret_cast<const void *>(task_info_->node_def().data()),

ge/ge_runtime/task/aicpu_task.h

@@ -41,6 +41,7 @@ class AicpuTask : public TaskRepeater<AicpuTaskInfo> {
   std::shared_ptr<AicpuTaskInfo> task_info_;
   void *stream_;
   void *args_;
+  void *ext_info_;
   void *input_output_addr_;
 };
 }  // namespace model_runner

ge/ge_runtime/task/cce_task.cc

@@ -103,9 +103,9 @@ bool CceTask::Distribute() {
     // Modify flowtable addr in args
     auto args = const_cast<uint8_t *>(task_info_->args().data());
     auto task_offset = reinterpret_cast<uint16_t *>(const_cast<uint8_t *>(task_info_->args_offset().data()));
+
     if (task_info_->args().size() < (task_offset[0] + sizeof(uint64_t))) {
-      GELOGE(FAILED,
-             "(context.args_offset().data()))[0]:%u + sizeof(uint64_t):%zu > kernelDef.args().size():%zu",
+      GELOGE(FAILED, "(context.args_offset().data()))[0]:%u + sizeof(uint64_t):%zu > kernelDef.args().size():%zu",
              static_cast<uint32_t>(task_offset[0]), sizeof(uint64_t), task_info_->args().size());
       return false;
     }
@@ -136,8 +136,7 @@ bool CceTask::Distribute() {
       return false;
     }
 
-    rt_ret = rtMemcpy(sm_desc_, task_info_->sm_desc().size(),
-                      task_info_->sm_desc().data(),
+    rt_ret = rtMemcpy(sm_desc_, task_info_->sm_desc().size(), task_info_->sm_desc().data(),
                       task_info_->sm_desc().size(), RT_MEMCPY_HOST_TO_DEVICE);
     if (rt_ret != RT_ERROR_NONE) {
       GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
@@ -146,12 +145,8 @@ bool CceTask::Distribute() {
   }
 
   // Kernel launch
-  rt_ret = rtKernelLaunch(stub_func_,
-                          task_info_->block_dim(),
-                          args_,
-                          task_info_->args_size(),
-                          static_cast<rtSmDesc_t *>(sm_desc_),
-                          stream_);
+  rt_ret = rtKernelLaunch(stub_func_, task_info_->block_dim(), args_, task_info_->args_size(),
+                          static_cast<rtSmDesc_t *>(sm_desc_), stream_);
   if (rt_ret != RT_ERROR_NONE) {
     GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
     return false;

ge/ge_runtime/task/event_record_task.h

@@ -33,7 +33,7 @@ class EventRecordTask : public TaskRepeater<EventRecordTaskInfo> {
  private:
   std::shared_ptr<EventRecordTaskInfo> task_info_;
   rtStream_t stream_;
-  rtEvent_t  event_;
+  rtEvent_t event_;
 };
 }  // namespace model_runner
 }  // namespace ge

ge/ge_runtime/task/event_wait_task.cc

@@ -1,5 +1,5 @@
 /**
- * Copyright 2020 Huawei Technologies Co., Ltd
+ * Copyright 2019-2020 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.

ge/ge_runtime/task/event_wait_task.h

@@ -33,7 +33,7 @@ class EventWaitTask : public TaskRepeater<EventWaitTaskInfo> {
  private:
   std::shared_ptr<EventWaitTaskInfo> task_info_;
   rtStream_t stream_;
-  rtEvent_t  event_;
+  rtEvent_t event_;
 };
 }  // namespace model_runner
 }  // namespace ge

ge/ge_runtime/task/hccl_task.cc

@@ -115,7 +115,6 @@ bool HcclTask::Distribute() {
     rt_ret = rtModelBindStream(rt_model_handle_, stream, RT_HEAD_STREAM);
     if (rt_ret != RT_ERROR_NONE) {
       GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
-      (void)rtStreamDestroy(stream);
       return false;
     }
 
@@ -129,8 +128,6 @@ bool HcclTask::Distribute() {
   ge_task.type = static_cast<uint16_t>(RT_MODEL_TASK_HCCL);
   ge_task.stream = stream_;
 
-  GETaskKernelHcclInfo kernel_hccl_info;
-  ge_task.kernelHcclInfo.emplace_back(kernel_hccl_info);
   ge_task.kernelHcclInfo[0].hccl_type = task_info_->hccl_type();
   ge_task.kernelHcclInfo[0].inputDataAddr = task_info_->input_data_addr();
   ge_task.kernelHcclInfo[0].outputDataAddr = task_info_->output_data_addr();

ge/ge_runtime/task/label_goto_task.cc

@@ -0,0 +1,70 @@
+/**
+ * Copyright 2019-2020 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 "ge_runtime/task/label_goto_task.h"
+#include "ge_runtime/task/task_factory.h"
+
+namespace ge {
+namespace model_runner {
+LabelGotoTask::LabelGotoTask(const ModelContext &model_context, const std::shared_ptr<LabelGotoTaskInfo> &task_info)
+    : TaskRepeater<LabelGotoTaskInfo>(model_context, task_info),
+      task_info_(task_info),
+      stream_(nullptr),
+      label_(nullptr) {
+  if (task_info_ == nullptr) {
+    GELOGW("task_info_ is null!");
+    return;
+  }
+  auto stream_list = model_context.stream_list();
+  auto label_list = model_context.label_list();
+  uint32_t stream_id = task_info->stream_id();
+  uint32_t label_id = task_info->label_id();
+  GELOGI("Stream list size:%zu, stream id:%u.", stream_list.size(), stream_id);
+  GELOGI("Label list size:%zu, label id:%u.", label_list.size(), label_id);
+  if (stream_id >= stream_list.size() || label_id >= label_list.size()) {
+    GELOGW("Stream/Label id invalid.");
+    return;
+  }
+  stream_ = stream_list[stream_id];
+  label_ = label_list[label_id];
+}
+
+LabelGotoTask::~LabelGotoTask() {}
+
+bool LabelGotoTask::Distribute() {
+  GELOGI("LabelGotoTask Distribute start.");
+  if (stream_ == nullptr) {
+    GELOGE(PARAM_INVALID, "stream is null!");
+    return false;
+  }
+  if (label_ == nullptr) {
+    GELOGE(PARAM_INVALID, "label is null!");
+    return false;
+  }
+  rtError_t rt_ret = rtLabelGotoEx(label_, stream_);
+  if (rt_ret != RT_ERROR_NONE) {
+    GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
+    return false;
+  }
+
+  GELOGI("DistributeTask end.");
+  return true;
+}
+
+REGISTER_TASK(TaskInfoType::LABEL_GOTO, LabelGotoTask, LabelGotoTaskInfo);
+
+}  // namespace model_runner
+}  // namespace ge

ge/ge_runtime/task/label_goto_task.h

@@ -0,0 +1,41 @@
+/**
+ * Copyright 2019-2020 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 GE_GE_RUNTIME_TASK_LABEL_GOTO_TASK_H_
+#define GE_GE_RUNTIME_TASK_LABEL_GOTO_TASK_H_
+
+#include <memory>
+#include "ge_runtime/task/task.h"
+
+namespace ge {
+namespace model_runner {
+class LabelGotoTask : public TaskRepeater<LabelGotoTaskInfo> {
+ public:
+  LabelGotoTask(const ModelContext &model_context, const std::shared_ptr<LabelGotoTaskInfo> &task_info);
+
+  ~LabelGotoTask() override;
+
+  bool Distribute() override;
+
+ private:
+  std::shared_ptr<LabelGotoTaskInfo> task_info_;
+  void *stream_;
+  void *label_;
+};
+}  // namespace model_runner
+}  // namespace ge
+
+#endif  // GE_GE_RUNTIME_TASK_LABEL_GOTO_TASK_H_

ge/ge_runtime/task/label_set_task.cc

@@ -0,0 +1,70 @@
+/**
+ * Copyright 2019-2020 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 "ge_runtime/task/label_set_task.h"
+#include "ge_runtime/task/task_factory.h"
+
+namespace ge {
+namespace model_runner {
+LabelSetTask::LabelSetTask(const ModelContext &model_context, const std::shared_ptr<LabelSetTaskInfo> &task_info)
+    : TaskRepeater<LabelSetTaskInfo>(model_context, task_info),
+      task_info_(task_info),
+      stream_(nullptr),
+      label_(nullptr) {
+  if (task_info_ == nullptr) {
+    GELOGW("task_info_ is null!");
+    return;
+  }
+  auto stream_list = model_context.stream_list();
+  auto label_list = model_context.label_list();
+  uint32_t stream_id = task_info->stream_id();
+  uint32_t label_id = task_info->label_id();
+  GELOGI("Stream list size:%zu, stream id:%u.", stream_list.size(), stream_id);
+  GELOGI("Label list size:%zu, label id:%u.", label_list.size(), label_id);
+  if (stream_id >= stream_list.size() || label_id >= label_list.size()) {
+    GELOGW("Stream/Label id invalid.");
+    return;
+  }
+  stream_ = stream_list[stream_id];
+  label_ = label_list[label_id];
+}
+
+LabelSetTask::~LabelSetTask() {}
+
+bool LabelSetTask::Distribute() {
+  GELOGI("LabelSetTask Distribute start.");
+  if (stream_ == nullptr) {
+    GELOGE(PARAM_INVALID, "stream is null!");
+    return false;
+  }
+  if (label_ == nullptr) {
+    GELOGE(PARAM_INVALID, "label is null!");
+    return false;
+  }
+  rtError_t rt_ret = rtLabelSet(label_, stream_);
+  if (rt_ret != RT_ERROR_NONE) {
+    GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
+    return false;
+  }
+
+  GELOGI("DistributeTask end.");
+  return true;
+}
+
+REGISTER_TASK(TaskInfoType::LABEL_SET, LabelSetTask, LabelSetTaskInfo);
+
+}  // namespace model_runner
+}  // namespace ge

ge/ge_runtime/task/label_set_task.h

@@ -0,0 +1,41 @@
+/**
+ * Copyright 2019-2020 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 GE_GE_RUNTIME_TASK_LABEL_SET_TASK_H_
+#define GE_GE_RUNTIME_TASK_LABEL_SET_TASK_H_
+
+#include <memory>
+#include "ge_runtime/task/task.h"
+
+namespace ge {
+namespace model_runner {
+class LabelSetTask : public TaskRepeater<LabelSetTaskInfo> {
+ public:
+  LabelSetTask(const ModelContext &model_context, const std::shared_ptr<LabelSetTaskInfo> &task_info);
+
+  ~LabelSetTask() override;
+
+  bool Distribute() override;
+
+ private:
+  std::shared_ptr<LabelSetTaskInfo> task_info_;
+  void *stream_;
+  void *label_;
+};
+}  // namespace model_runner
+}  // namespace ge
+
+#endif  // GE_GE_RUNTIME_TASK_LABEL_SET_TASK_H_

ge/ge_runtime/task/label_switch_task.cc

@@ -0,0 +1,131 @@
+/**
+ * Copyright 2019-2020 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 "ge_runtime/task/label_switch_task.h"
+#include "ge_runtime/task/task_factory.h"
+
+namespace ge {
+namespace model_runner {
+LabelSwitchTask::LabelSwitchTask(const ModelContext &model_context,
+                                 const std::shared_ptr<LabelSwitchTaskInfo> &task_info)
+    : TaskRepeater<LabelSwitchTaskInfo>(model_context, task_info),
+      task_info_(task_info),
+      stream_(nullptr),
+      all_label_resource_(),
+      label_info_(nullptr) {
+  if (task_info_ == nullptr) {
+    GELOGW("task_info_ is null!");
+    return;
+  }
+
+  all_label_resource_ = model_context.label_list();
+  auto stream_list = model_context.stream_list();
+  uint32_t stream_id = task_info->stream_id();
+  GELOGI("Stream list size:%zu, stream id:%u.", stream_list.size(), stream_id);
+  if (stream_id >= stream_list.size()) {
+    GELOGW("Stream id invalid.");
+    return;
+  }
+  stream_ = stream_list[stream_id];
+}
+
+LabelSwitchTask::~LabelSwitchTask() {
+  if (label_info_ != nullptr) {
+    rtError_t rt_ret = rtFree(label_info_);
+    if (rt_ret != RT_ERROR_NONE) {
+      GELOGE(RT_FAILED, "rtFree fwkOpBuf failed! ret: 0x%X.", rt_ret);
+    }
+    label_info_ = nullptr;
+  }
+}
+
+bool LabelSwitchTask::Distribute() {
+  GELOGI("LabelSwitchTask Distribute start.");
+  if (!CheckParamValid()) {
+    return false;
+  }
+
+  const std::vector<uint32_t> &label_index_list = task_info_->label_list();
+  std::vector<void *> label_list(task_info_->label_size(), nullptr);
+
+  for (size_t i = 0; i < task_info_->label_size(); ++i) {
+    uint32_t label_index = label_index_list[i];
+    if (label_index >= all_label_resource_.size()) {
+      GELOGE(PARAM_INVALID, "label %zu index is %u, but there are %zu labels in total.", i, label_index,
+             all_label_resource_.size());
+      return false;
+    }
+    label_list[i] = all_label_resource_[label_index];
+    GELOGI("Case %zu: label id %zu.", i, label_index);
+  }
+
+  uint32_t label_info_size = sizeof(rtLabelDevInfo) * task_info_->label_size();
+  rtError_t rt_ret = rtMalloc(&label_info_, label_info_size, RT_MEMORY_HBM);
+  if (rt_ret != RT_ERROR_NONE) {
+    GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
+    return false;
+  }
+
+  rt_ret = rtLabelListCpy(label_list.data(), label_list.size(), label_info_, label_info_size);
+  if (rt_ret != RT_ERROR_NONE) {
+    GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
+    return false;
+  }
+
+  rt_ret = rtLabelSwitchByIndex(task_info_->cond(), label_list.size(), label_info_, stream_);
+  if (rt_ret != RT_ERROR_NONE) {
+    GELOGE(RT_FAILED, "Call rt api failed, ret: 0x%X", rt_ret);
+    return false;
+  }
+
+  GELOGI("DistributeTask end.");
+  return true;
+}
+
+bool LabelSwitchTask::CheckParamValid() {
+  if (stream_ == nullptr) {
+    GELOGE(PARAM_INVALID, "stream is null!");
+    return false;
+  }
+
+  if (task_info_->label_list().empty()) {
+    GELOGE(PARAM_INVALID, "label_list is empty.");
+    return false;
+  }
+
+  if (task_info_->label_size() != task_info_->label_list().size()) {
+    GELOGE(PARAM_INVALID, "label_list size %zu but label_size is %u.", task_info_->label_list().size(),
+           task_info_->label_size());
+    return false;
+  }
+
+  if (task_info_->label_size() >= UINT32_MAX / sizeof(rtLabelDevInfo)) {
+    GELOGE(PARAM_INVALID, "label_size %u will overflow.", task_info_->label_size());
+    return false;
+  }
+
+  if (label_info_ != nullptr) {
+    GELOGE(PARAM_INVALID, "label_info_ has dirty data.");
+    return false;
+  }
+
+  return true;
+}
+
+REGISTER_TASK(TaskInfoType::LABEL_SWITCH, LabelSwitchTask, LabelSwitchTaskInfo);
+
+}  // namespace model_runner
+}  // namespace ge

ge/ge_runtime/task/label_switch_task.h

@@ -0,0 +1,44 @@
+/**
+ * Copyright 2019-2020 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 GE_GE_RUNTIME_TASK_LABEL_SWITCH_TASK_H_
+#define GE_GE_RUNTIME_TASK_LABEL_SWITCH_TASK_H_
+
+#include <memory>
+#include "ge_runtime/task/task.h"
+
+namespace ge {
+namespace model_runner {
+class LabelSwitchTask : public TaskRepeater<LabelSwitchTaskInfo> {
+ public:
+  LabelSwitchTask(const ModelContext &model_context, const std::shared_ptr<LabelSwitchTaskInfo> &task_info);
+
+  ~LabelSwitchTask() override;
+
+  bool Distribute() override;
+
+ private:
+  bool CheckParamValid();
+
+  std::shared_ptr<LabelSwitchTaskInfo> task_info_;
+  void *stream_;
+  std::vector<void *> all_label_resource_;
+  void *label_info_;
+};
+}  // namespace model_runner
+}  // namespace ge
+
+#endif  // GE_GE_RUNTIME_TASK_LABEL_SWITCH_TASK_H_

ge/ge_runtime/task/stream_switch_task.h

@@ -37,6 +37,7 @@ class StreamSwitchTask : public TaskRepeater<StreamSwitchTaskInfo> {
   void *stream_;
   std::vector<rtStream_t> stream_list_;
 };
+
 }  // namespace model_runner
 }  // namespace ge
 #endif  // GE_GE_RUNTIME_TASK_STREAM_SWITCH_TASK_H_

ge/ge_runtime/task/task.h

@@ -42,7 +42,7 @@ class Task {
 
 template <class T>
 class TaskRepeater : public Task {
-  static_assert(std::is_base_of<TaskInfo, T>(), "Wrong TaskInfo Type!"); /*lint !e30*/
+  static_assert(std::is_base_of<TaskInfo, T>(), "Wrong TaskInfo Type!");
 
  public:
   TaskRepeater(const ModelContext &model_context, std::shared_ptr<T> task_info) {}

ge/ge_runtime/task/task_factory.h

@@ -81,6 +81,7 @@ class TaskFactory {
       std::shared_ptr<task_info_clazz> concrete_task_info = std::static_pointer_cast<task_info_clazz>(task_info);      \
       return std::make_shared<task_clazz>(model_context, concrete_task_info);                                          \
     });
+
 }  // namespace model_runner
 }  // namespace ge
 #endif  // GE_GE_RUNTIME_TASK_TASK_FACTORY_H_

inc/framework/ge_runtime/davinci_model.h

@@ -27,10 +27,10 @@ namespace ge {
 namespace model_runner {
 class DavinciModel {
  public:
-  DavinciModel(const std::vector<std::shared_ptr<TaskInfo>> &task_info_list, /*lint !e151*/
+  DavinciModel(const std::vector<std::shared_ptr<TaskInfo>> &task_info_list,
                const std::vector<std::shared_ptr<OpInfo>> &data_info_list,
-               const std::vector<std::shared_ptr<OpInfo>> &output_info_list, /*lint !e151*/
-               const std::vector<std::shared_ptr<OpInfo>> &constant_info_list, /*lint !e1049*/
+               const std::vector<std::shared_ptr<OpInfo>> &output_info_list,
+               const std::vector<std::shared_ptr<OpInfo>> &constant_info_list,
                const std::vector<model_runner::OpInfoPtr> &variable_info_list,
                const std::vector<uint32_t> &wait_active_stream_list,
                const std::vector<uint32_t> &force_copy_stream_list, uint64_t mem_size = 0, uint64_t weight_size = 0,
@@ -68,12 +68,12 @@ class DavinciModel {
   uint32_t GetBatchNum() const { return batch_num_; }
   uint32_t GetEventNum() const { return event_num_; }
 
-  const std::vector<uint32_t> &GetWaitActiveStreams() const { return wait_active_stream_list_; } /*lint !e1413*/
-  const std::vector<uint32_t> &GetForceCopyStreams() const { return force_copy_stream_list_; } /*lint !e1413*/
+  const std::vector<uint32_t> &GetWaitActiveStreams() const { return wait_active_stream_list_; }
+  const std::vector<uint32_t> &GetForceCopyStreams() const { return force_copy_stream_list_; }
 
   int32_t GetPriority() const { return priority_; }
 
-  const std::vector<std::shared_ptr<TaskInfo>> &GetTaskInfoList() const { return task_info_list_; } /*lint !e151*/
+  const std::vector<std::shared_ptr<TaskInfo>> &GetTaskInfoList() const { return task_info_list_; }
   const std::vector<std::shared_ptr<OpInfo>> &GetDataInfoList() const { return data_info_list_; }
   const std::vector<std::shared_ptr<OpInfo>> &GetOutputInfoList() const { return output_info_list_; }
   const std::vector<std::shared_ptr<OpInfo>> &GetConstantInfoList() const { return output_info_list_; }
@@ -81,7 +81,7 @@ class DavinciModel {
 
  private:
   std::vector<std::shared_ptr<TaskInfo>> task_info_list_;
-  std::vector<std::shared_ptr<OpInfo>> data_info_list_; /*lint !e151*/
+  std::vector<std::shared_ptr<OpInfo>> data_info_list_;
   std::vector<std::shared_ptr<OpInfo>> output_info_list_;
   std::vector<std::shared_ptr<OpInfo>> constant_info_list_;
   std::vector<model_runner::OpInfoPtr> variable_info_list_;

inc/framework/ge_runtime/model_runner.h

@@ -52,11 +52,8 @@ class ModelRunner {
 
   bool RunModel(uint32_t model_id, const InputData &input_data, OutputData *output_data);
 
-  bool GetInputOutputDescInfo(uint32_t model_id,
-                              bool zero_copy,
-                              std::vector<InputOutputDescInfo> *input_desc,
-                              std::vector<InputOutputDescInfo> *output_desc,
-                              std::vector<uint32_t> *input_format,
+  bool GetInputOutputDescInfo(uint32_t model_id, bool zero_copy, std::vector<InputOutputDescInfo> *input_desc,
+                              std::vector<InputOutputDescInfo> *output_desc, std::vector<uint32_t> *input_format,
                               std::vector<uint32_t> *output_format);
 
  private:

inc/framework/ge_runtime/task_info.h

@@ -161,12 +161,13 @@ class TbeTaskInfo : public TaskInfo {
 class AicpuTaskInfo : public TaskInfo {
  public:
   AicpuTaskInfo(const std::string &op_name, uint32_t stream_id, const string &so_name, const std::string &kernel_name,
-                const std::string &node_def, const std::vector<void *> &input_data_addrs,
+                const std::string &node_def, const std::string &ext_info, const std::vector<void *> &input_data_addrs,
                 const std::vector<void *> &output_data_addrs, bool dump_flag)
       : TaskInfo(op_name, stream_id, TaskInfoType::AICPU, dump_flag),
         so_name_(so_name),
         kernel_name_(kernel_name),
         node_def_(node_def),
+        ext_info_(ext_info),
         input_data_addrs_(input_data_addrs),
         output_data_addrs_(output_data_addrs) {}
   ~AicpuTaskInfo() override {}
@@ -176,11 +177,13 @@ class AicpuTaskInfo : public TaskInfo {
   const std::string &node_def() const { return node_def_; }
   const std::vector<void *> &input_data_addrs() const { return input_data_addrs_; }
   const std::vector<void *> &output_data_addrs() const { return output_data_addrs_; }
+  const std::string &ext_info() const { return ext_info_; }
 
  private:
   std::string so_name_;
   std::string kernel_name_;
   std::string node_def_;
+  std::string ext_info_;
   std::vector<void *> input_data_addrs_;
   std::vector<void *> output_data_addrs_;
 };
@@ -293,19 +296,19 @@ class HcclTaskInfo : public TaskInfo {
         hcom_distribute_task_(hcom_distribute_task) {}
   ~HcclTaskInfo() override {}
 
-  const std::string &hccl_type() const { return hccl_type_; } /*lint !e1413*/
+  const std::string &hccl_type() const { return hccl_type_; }
   void *input_data_addr() const { return input_data_addr_; }
   void *output_data_addr() const { return output_data_addr_; }
   void *workspace_addr() const { return workspace_addr_; }
   int64_t workspace_size() const { return workspace_size_; }
   int64_t hccl_stream_num() const { return hccl_stream_num_; }
-  const std::vector<uint8_t> &private_def() const { return private_def_; } /*lint !e1413*/
+  const std::vector<uint8_t> &private_def() const { return private_def_; }
   void *ops_kernel_store() const { return ops_kernel_store_; }
   int32_t count() const { return count_; }
   int64_t root_id() const { return root_id_; }
   int64_t op_type() const { return op_type_; }
   int64_t data_type() const { return data_type_; }
-  const std::string group() const { return group_; }
+  const std::string &group() const { return group_; }
   std::function<bool(void *, void *)> hcom_bind_model() const { return hcom_bind_model_; }
   std::function<bool(void *)> hcom_unbind_model() const { return hcom_unbind_model_; }
   std::function<bool(std::shared_ptr<HcclTaskInfo>, void *)> hcom_distribute_task() const {