!8607 Delete deprecated hccl calling

From: @zhoufeng54
Reviewed-by: 
Signed-off-by:

cmake/dependency_graphengine.cmake

@@ -6,10 +6,15 @@ include(${GE_SOURCE_DIR}/cmake/ge_utils.cmake)
 include(${GE_SOURCE_DIR}/cmake/external_libs/json.cmake)
 include(${GE_SOURCE_DIR}/cmake/external_libs/eigen.cmake)
 include(${GE_SOURCE_DIR}/cmake/external_libs/gtest.cmake)
-include(${GE_SOURCE_DIR}/cmake/external_libs/protobuf.cmake)
 include(${GE_SOURCE_DIR}/cmake/external_libs/onnx.cmake)
 include(${GE_SOURCE_DIR}/cmake/external_libs/securec.cmake)
-
+if (ENABLE_D)
+    set(AS_MS_COMP TRUE)
+    include(${GE_SOURCE_DIR}/cmake/external_libs/protobuf.cmake)
+    unset(AS_MS_COMP)
+else ()
+    include(${GE_SOURCE_DIR}/cmake/external_libs/protobuf.cmake)
+endif ()
 # for UT, find slog and error_manager from local prebuild
 if (NOT ENABLE_D AND NOT ENABLE_ACL)
     set(GE_PREBUILD_PATH ${GE_SOURCE_DIR}/third_party/prebuild/${CMAKE_HOST_SYSTEM_PROCESSOR})
@@ -79,8 +84,12 @@ set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -D__FILE__='\"$(subst $(realpath ${CMAKE
 add_subdirectory(${GE_SOURCE_DIR}/src/common/graph)
 if (ENABLE_ACL OR ENABLE_D)
     add_subdirectory(${GE_SOURCE_DIR}/src/ge/common)
+    target_compile_definitions(graph PRIVATE google=ascend_private)
+    set_target_properties(graph PROPERTIES SKIP_BUILD_RPATH TRUE)
     if (ENABLE_D)
         add_subdirectory(${GE_SOURCE_DIR}/src/ge/ge_runtime)
+        target_compile_definitions(ge_runtime PRIVATE google=ascend_private)
+        set_target_properties(ge_runtime PROPERTIES SKIP_BUILD_RPATH TRUE)
     endif ()
 endif ()
 

cmake/package.cmake

@@ -216,7 +216,7 @@ if (NOT ENABLE_GE)
 
         if (ENABLE_D)
             install(
-                TARGETS ms_profile
+                TARGETS ms_profile hccl_adapter
                 DESTINATION ${INSTALL_LIB_DIR}
                 COMPONENT mindspore
             )

graphengine

@@ -1 +1 @@
-Subproject commit 412ebe82c96620b5f7c942a7ab87a45bf14c5621
+Subproject commit 383f7f751d6612e9dbde9e22a2960098fdbf3792

mindspore/ccsrc/CMakeLists.txt

@@ -174,7 +174,7 @@ foreach (_comp ${SUB_COMP})
     string(REPLACE "/" "_" sub ${_comp})
     if (TARGET _mindspore_${sub}_obj)
         list(APPEND SUB_OBJECTS_SRC $<TARGET_OBJECTS:_mindspore_${sub}_obj>)
-        add_dependencies(_mindspore_${sub}_obj proto_input )
+        add_dependencies(_mindspore_${sub}_obj proto_input)
     endif ()
 endforeach ()
 
@@ -229,28 +229,26 @@ if (ENABLE_D)
     endif()
 
     MESSAGE("USE DAV LIB PATH: ${ASCEND_PATH}")
-    find_library(HCCL hccl ${ASCEND_RUNTIME_PATH})
-    find_library(CCE_LIB cce ${ASCEND_RUNTIME_PATH})
-    find_library(RUNTIME_LIB runtime ${ASCEND_RUNTIME_PATH})
-    find_library(TSDCLIENT tsdclient HINTS ${ASCEND_RUNTIME_PATH} ${ASCEND_DRIVER_BACK_PATH})
-    find_library(DATATRANSFER datatransfer HINTS ${ASCEND_RUNTIME_PATH} ${ASCEND_DRIVER_BACK_PATH})
-    find_library(PROFILING msprofiler ${ASCEND_RUNTIME_PATH})
-    # for atlas env
-    find_library(HCCL hccl ${ASCEND_TOOLKIT_RUNTIME_PATH})
-    find_library(CCE_LIB cce ${ASCEND_TOOLKIT_RUNTIME_PATH})
-    find_library(RUNTIME_LIB runtime ${ASCEND_TOOLKIT_RUNTIME_PATH})
-    find_library(TSDCLIENT tsdclient HINTS ${ASCEND_TOOLKIT_RUNTIME_PATH} ${ASCEND_DRIVER_BACK_PATH})
-    find_library(DATATRANSFER datatransfer HINTS ${ASCEND_TOOLKIT_RUNTIME_PATH} ${ASCEND_DRIVER_BACK_PATH})
-    find_library(PROFILING msprofiler ${ASCEND_TOOLKIT_RUNTIME_PATH})
-
+    find_library(HCCL hccl ${ASCEND_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH})
+    find_library(CCE_LIB cce ${ASCEND_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH})
+    find_library(RUNTIME_LIB runtime ${ASCEND_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH})
+    find_library(TSDCLIENT tsdclient HINTS ${ASCEND_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH} ${ASCEND_DRIVER_BACK_PATH})
+    find_library(DATATRANSFER datatransfer HINTS ${ASCEND_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH} ${ASCEND_DRIVER_BACK_PATH})
+    find_library(PROFILING msprofiler ${ASCEND_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH})
     find_library(PROFILING_SHARED msprof ${ASCEND_DRIVER_PATH})
-    find_library(REGISTER register ${ASCEND_RUNTIME_PATH})
+    find_library(REGISTER register ${ASCEND_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH})
     find_library(OPTILING optiling ${ASCEND_OPP_PATH})
     add_library(ms_profile SHARED ${PROFILING})
     set_target_properties(ms_profile PROPERTIES LINKER_LANGUAGE CXX)
     target_link_libraries(ms_profile -Wl,--start-group ${PROFILING_SHARED} ${PROFILING} mindspore::protobuf -Wl,--end-group)
-    target_link_libraries(mindspore ms_profile ge_runtime ${CCE_LIB} ${RUNTIME_LIB} ${TSDCLIENT} ${HCCL} ${DATATRANSFER} ${REGISTER} -Wl,--no-as-needed ${OPTILING} -Wl,--as-needed)
+    target_link_libraries(mindspore ms_profile ge_runtime ${CCE_LIB} ${RUNTIME_LIB} ${TSDCLIENT} ${HCCL} ${DATATRANSFER}
+                                    ${REGISTER} -Wl,--no-as-needed ${OPTILING} -Wl,--as-needed)
     target_link_libraries(mindspore -Wl,--start-group proto_input mindspore::protobuf -Wl,--end-group)
+    # hccl_adpter
+    find_library(HCCL_ADPTER hcom_graph_adaptor ${ASCEND_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH})
+    find_library(HCCL_BUILDER hcom_opskernel_builder ${ASCEND_RUNTIME_PATH}/plugin/opskernel ${ASCEND_TOOLKIT_RUNTIME_PATH}/plugin/opskernel)
+    add_subdirectory(runtime/hccl_adapter)
+    target_link_libraries(hccl_adapter PRIVATE mindspore ${HCCL_ADPTER} ${REGISTER} -Wl,--no-as-needed ${HCCL_BUILDER})
 elseif (CMAKE_SYSTEM_NAME MATCHES "Windows")
     target_link_libraries(mindspore -Wl,--start-group proto_input mindspore::protobuf mindspore::sentencepiece -Wl,--end-group)
 else ()
@@ -274,11 +272,14 @@ elseif (CMAKE_SYSTEM_NAME MATCHES "Windows")
 else ()
     MESSAGE(FATAL_ERROR "other platform: ${CMAKE_SYSTEM_NAME}")
 endif ()
-set(MINDSPORE_RPATH ${ORIGIN_PATH}/lib)
+
 if (ENABLE_D)
     set(MINDSPORE_RPATH ${MINDSPORE_RPATH}:/usr/local/Ascend/nnae/latest/fwkacllib/lib64)
     set(MINDSPORE_RPATH ${MINDSPORE_RPATH}:/usr/local/Ascend/ascend-toolkit/latest/fwkacllib/lib64)
     set(MINDSPORE_RPATH ${MINDSPORE_RPATH}:/usr/local/Ascend/fwkacllib/lib64)
+    set(MINDSPORE_RPATH ${MINDSPORE_RPATH}:/usr/local/Ascend/nnae/latest/fwkacllib/lib64/plugin/opskernel)
+    set(MINDSPORE_RPATH ${MINDSPORE_RPATH}:/usr/local/Ascend/ascend-toolkit/latest/fwkacllib/lib64/plugin/opskernel)
+    set(MINDSPORE_RPATH ${MINDSPORE_RPATH}:/usr/local/Ascend/fwkacllib/lib64/plugin/opskernel)
     set(MINDSPORE_RPATH ${MINDSPORE_RPATH}:/usr/local/Ascend/add-ons)
     set(MINDSPORE_RPATH ${MINDSPORE_RPATH}:/usr/local/Ascend/opp/op_impl/built-in/ai_core/tbe/op_tiling)
     set(MINDSPORE_RPATH ${MINDSPORE_RPATH}:/usr/local/Ascend/nnae/latest/opp/op_impl/built-in/ai_core/tbe/op_tiling)
@@ -286,9 +287,16 @@ if (ENABLE_D)
 elseif (ENABLE_GPU)
     set(MINDSPORE_RPATH ${MINDSPORE_RPATH}:/usr/local/cuda/lib64)
 endif ()
+set(HCCL_ADPT_RPATH ${ORIGIN_PATH}:${MINDSPORE_RPATH})
+set(MINDSPORE_RPATH ${ORIGIN_PATH}/lib:${MINDSPORE_RPATH})
 
 set_target_properties(_c_expression PROPERTIES INSTALL_RPATH ${MINDSPORE_RPATH})
 
+if (ENABLE_D)
+    set_target_properties(hccl_adapter PROPERTIES INSTALL_RPATH ${HCCL_ADPT_RPATH})
+    target_link_libraries(_c_expression PRIVATE hccl_adapter)
+endif ()
+
 if (CMAKE_SYSTEM_NAME MATCHES "Windows")
     target_link_libraries(mindspore mindspore::pybind11_module)
     target_link_libraries(mindspore mindspore_gvar)
@@ -352,6 +360,7 @@ if (ENABLE_D)
     find_library(adump_server libadump_server.a ${ASCEND_RUNTIME_PATH} ${ASCEND_TOOLKIT_RUNTIME_PATH})
     target_link_libraries(_c_expression PRIVATE ${adump_server})
     target_link_libraries(inference PRIVATE ${adump_server})
+    target_link_libraries(inference PRIVATE mindspore_core hccl_adapter)
 endif()
 
 if (ENABLE_CPU)

mindspore/ccsrc/backend/kernel_compiler/hccl/hccl_kernel.cc

@@ -17,16 +17,15 @@
 #include "backend/kernel_compiler/hccl/hccl_kernel.h"
 
 #include <map>
-#include "runtime/device/ascend/tasksink/runtime_utils.h"
 #include "backend/session/anf_runtime_algorithm.h"
 #include "utils/utils.h"
 #include "utils/ms_context.h"
 #include "runtime/device/kernel_runtime.h"
 #include "runtime/device/ascend/executor/hccl_dynamic_kernel.h"
+#include "runtime/hccl_adapter/hccl_adapter.h"
 
 using HcclTaskInfoPtr = std::shared_ptr<ge::model_runner::HcclTaskInfo>;
 using ge::model_runner::HcclTaskInfo;
-using mindspore::device::ascend::tasksink::RuntimeUtils;
 
 namespace {
 static std::map<std::string, std::string> kMsOpNameToHcomHcclType = {
@@ -145,35 +144,45 @@ const std::vector<size_t> &HcclKernel::GetOutputSizeList() const {
 
 const std::vector<size_t> &HcclKernel::GetWorkspaceSizeList() const { return workspace_size_list_; }
 
-std::vector<TaskInfoPtr> HcclKernel::GenTask(const std::vector<AddressPtr> &inputs,
-                                             const std::vector<AddressPtr> &workspace,
+std::vector<TaskInfoPtr> HcclKernel::GenTask(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> &,
                                              const std::vector<AddressPtr> &outputs, uint32_t stream_id) {
   if (inputs.empty() || outputs.empty()) {
     MS_LOG(EXCEPTION) << "Inputs or outputs is empty";
   }
   stream_id_ = stream_id;
-  std::string hccl_type = AnfAlgo::GetCNodeName(anf_node_);
   MS_EXCEPTION_IF_NULL(inputs.at(0));
   auto input_data_addr = inputs.at(0)->addr;
   MS_EXCEPTION_IF_NULL(outputs.at(0));
   auto output_data_addr = outputs.at(0)->addr;
-  void *workspace_address = nullptr;
-  const int64_t workspace_num = 0;
   std::vector<uint8_t> private_def;
   HcclDataType data_type = hccl_data_type_list_[0];
 
-  MS_LOG(INFO) << "HCCL Task : stream_id=" << stream_id << ", ws_num=" << workspace_num << ", count=" << hccl_count_
-               << ", root_id=" << root_id_ << ", op_type=" << static_cast<int>(op_type_)
-               << ", data_type=" << static_cast<int>(data_type);
-
-  auto context_ptr = MsContext::GetInstance();
-  MS_EXCEPTION_IF_NULL(context_ptr);
-  HcclTaskInfoPtr task_info_ptr = std::make_shared<HcclTaskInfo>(
-    kernel_name_, stream_id, hccl_type, input_data_addr, output_data_addr, workspace_address, workspace_num, 0,
-    private_def, nullptr, hccl_count_, root_id_, op_type_, data_type, group_, RuntimeUtils::HcomBindModel,
-    RuntimeUtils::HcomUnbindModel, RuntimeUtils::HcomDistribute, NeedDump());
-  MS_EXCEPTION_IF_NULL(task_info_ptr);
-  return {task_info_ptr};
+  std::vector<hccl::HcclTaskInfo> task_info;
+  bool ret = hccl::GenTask(anf_node_, data_type, &task_info);
+  if (!ret) {
+    MS_LOG(EXCEPTION) << "Gen Task for " << anf_node_->DebugString() << " failed.";
+  }
+
+  std::vector<TaskInfoPtr> results;
+  for (auto &task : task_info) {
+    MS_LOG(INFO) << "HCCL Task : stream_id=" << stream_id << ", count=" << hccl_count_ << ", root_id=" << root_id_
+                 << ", op_type=" << static_cast<int>(op_type_) << ", data_type=" << static_cast<int>(data_type)
+                 << ", workspace_size=" << task.workspace_size << ", stream_num=" << task.stream_num
+                 << ", private_def_size=" << task.private_def.size();
+
+    private_def.resize(task.private_def.size());
+    auto sec_ret = memcpy_s(private_def.data(), private_def.size(), task.private_def.data(), task.private_def.size());
+    if (sec_ret != 0) {
+      MS_LOG(EXCEPTION) << "Set data memcpy_s failed, ret = " << sec_ret;
+    }
+
+    results.emplace_back(std::make_shared<HcclTaskInfo>(
+      kernel_name_, stream_id, hccl::GetHcclType(anf_node_), input_data_addr, output_data_addr, task.workspace_size,
+      task.stream_num, private_def, hccl::GetHcclOpsKernelInfoStore(), hccl_count_, root_id_, op_type_, data_type,
+      group_, NeedDump()));
+  }
+
+  return results;
 }
 
 device::DynamicKernelPtr HcclKernel::GenDynamicKernel(const CNodePtr &cnode_ptr, void *stream_ptr) {

mindspore/ccsrc/backend/kernel_compiler/hccl/hcom_all_broadcast.cc

@@ -20,26 +20,10 @@
 
 namespace mindspore {
 namespace kernel {
-bool HcomAllBroadCastKernel::Launch(const std::vector<AddressPtr> &inputs,
+bool HcomAllBroadCastKernel::Launch(const std::vector<AddressPtr> & /*inputs*/,
                                     const std::vector<AddressPtr> & /*workspace*/,
-                                    const std::vector<AddressPtr> & /*outputs*/, void *stream_ptr) {
-  auto context_ptr = MsContext::GetInstance();
-  MS_EXCEPTION_IF_NULL(context_ptr);
-  if (context_ptr->get_param<bool>(MS_CTX_ENABLE_TASK_SINK)) {
-    return true;
-  }
-  if (inputs.empty() || hccl_data_type_list_.empty()) {
-    MS_LOG(ERROR) << "BroadCast param is empty";
-    return false;
-  }
-  const char *tag = "Hccl-BroadCast";
-  MS_EXCEPTION_IF_NULL(inputs[0]);
-  HcclResult ret =
-    hcom_broadcast(tag, inputs[0]->addr, hccl_count_, hccl_data_type_list_[0], root_id_, nullptr, stream_ptr);
-  if (ret != HCCL_SUCCESS) {
-    MS_LOG(ERROR) << "HcomBroadcastOp : hcom_broadcast fail, return: " << static_cast<int>(ret);
-    return false;
-  }
+                                    const std::vector<AddressPtr> & /*outputs*/, void * /*stream_ptr*/) {
+  MS_LOG(INFO) << "HcomAllBroadCast launch";
   return true;
 }
 }  // namespace kernel

mindspore/ccsrc/backend/kernel_compiler/hccl/hcom_all_gather.cc

@@ -20,24 +20,10 @@
 
 namespace mindspore {
 namespace kernel {
-bool HcomAllGatherKernel::Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> & /*workspace*/,
-                                 const std::vector<AddressPtr> &outputs, void *stream_ptr) {
-  auto context_ptr = MsContext::GetInstance();
-  MS_EXCEPTION_IF_NULL(context_ptr);
-  if (context_ptr->get_param<bool>(MS_CTX_ENABLE_TASK_SINK)) {
-    return true;
-  }
-  if (inputs.empty() || hccl_data_type_list_.empty()) {
-    MS_LOG(ERROR) << "AllGather param is empty";
-    return false;
-  }
-  const char *tag = "Hccl-AllGather";
-  HcclResult ret =
-    hcom_all_gather(tag, inputs[0]->addr, outputs[0]->addr, hccl_count_, hccl_data_type_list_[0], nullptr, stream_ptr);
-  if (ret != HCCL_SUCCESS) {
-    MS_LOG(ERROR) << "HcomAllGatherKernelOp : hcom_all_gather fail, return: " << static_cast<int>(ret);
-    return false;
-  }
+bool HcomAllGatherKernel::Launch(const std::vector<AddressPtr> & /*inputs*/,
+                                 const std::vector<AddressPtr> & /*workspace*/,
+                                 const std::vector<AddressPtr> & /*outputs*/, void * /*stream_ptr*/) {
+  MS_LOG(INFO) << "HcomAllGather launch";
   return true;
 }
 }  // namespace kernel

mindspore/ccsrc/backend/kernel_compiler/hccl/hcom_all_reduce.cc

@@ -20,24 +20,10 @@
 
 namespace mindspore {
 namespace kernel {
-bool HcomAllReduceKernel::Launch(const std::vector<AddressPtr> &inputs, const std::vector<AddressPtr> & /*workspace*/,
-                                 const std::vector<AddressPtr> &outputs, void *stream_ptr) {
-  auto context_ptr = MsContext::GetInstance();
-  MS_EXCEPTION_IF_NULL(context_ptr);
-  if (context_ptr->get_param<bool>(MS_CTX_ENABLE_TASK_SINK)) {
-    return true;
-  }
-  if (inputs.empty() || outputs.empty() || hccl_data_type_list_.empty()) {
-    MS_LOG(ERROR) << "AllReduce param is empty";
-    return false;
-  }
-  const char *tag = "Hccl-AllReduce";
-  HcclResult ret = hcom_all_reduce(tag, inputs[0]->addr, outputs[0]->addr, hccl_count_, hccl_data_type_list_[0],
-                                   op_type_, nullptr, stream_ptr);
-  if (ret != HCCL_SUCCESS) {
-    MS_LOG(ERROR) << "HcomAllReduceKernelOp : hcom_all_reduce fail, return: " << static_cast<int>(ret);
-    return false;
-  }
+bool HcomAllReduceKernel::Launch(const std::vector<AddressPtr> & /*inputs*/,
+                                 const std::vector<AddressPtr> & /*workspace*/,
+                                 const std::vector<AddressPtr> & /*outputs*/, void * /*stream_ptr*/) {
+  MS_LOG(INFO) << "HcomAllReduce launch";
   return true;
 }
 }  // namespace kernel

mindspore/ccsrc/backend/kernel_compiler/hccl/hcom_all_reduce_scatter.cc

@@ -20,25 +20,10 @@
 
 namespace mindspore {
 namespace kernel {
-bool HcomAllReduceScatterKernel::Launch(const std::vector<AddressPtr> &inputs,
+bool HcomAllReduceScatterKernel::Launch(const std::vector<AddressPtr> & /*inputs*/,
                                         const std::vector<AddressPtr> & /*workspace*/,
-                                        const std::vector<AddressPtr> &outputs, void *stream_ptr) {
-  auto context_ptr = MsContext::GetInstance();
-  MS_EXCEPTION_IF_NULL(context_ptr);
-  if (context_ptr->get_param<bool>(MS_CTX_ENABLE_TASK_SINK)) {
-    return true;
-  }
-  if (inputs.empty() || outputs.empty() || hccl_data_type_list_.empty()) {
-    MS_LOG(ERROR) << "ReduceScatter param is empty";
-    return false;
-  }
-  const char *tag = "Hccl-ReduceScatter";
-  HcclResult ret = hcom_reduce_scatter(tag, inputs[0]->addr, outputs[0]->addr, hccl_count_, hccl_data_type_list_[0],
-                                       op_type_, nullptr, stream_ptr);
-  if (ret != HCCL_SUCCESS) {
-    MS_LOG(ERROR) << "HcomReduceScatterOp : hcom_reduce_scatter fail, return: " << static_cast<int>(ret);
-    return false;
-  }
+                                        const std::vector<AddressPtr> & /*outputs*/, void * /*stream_ptr*/) {
+  MS_LOG(INFO) << "HcomAllReduceScatter launch";
   return true;
 }
 }  // namespace kernel

mindspore/ccsrc/runtime/device/ascend/ascend_kernel_runtime.cc

@@ -55,6 +55,7 @@
 #include "profiler/device/ascend/rt_callback_manager.h"
 #include "utils/config_manager.h"
 #include "runtime/device/ascend/profiling/reporter/op_name_task_stream_reporter.h"
+#include "runtime/hccl_adapter/hccl_adapter.h"
 
 using ge::model_runner::ModelRunner;
 using mindspore::device::ascend::ProfilingManager;
@@ -796,10 +797,10 @@ bool AscendKernelRuntime::HcclInit() {
     return false;
   }
   MS_LOG(INFO) << "MINDSPORE_HCCL_CONFIG_PATH : " << full_path << ", RANK_ID: " << rank_id_str;
-  HcclResult res = hcom_init(full_path, rank_id_str.c_str());
+  bool ret = hccl::InitHccl(context_ptr->get_param<uint32_t>(MS_CTX_DEVICE_ID), rank_id_str, full_path);
   free(full_path);
-  if (res != HCCL_SUCCESS) {
-    MS_LOG(ERROR) << "Hcom init failed, res is " << static_cast<int>(res);
+  if (!ret) {
+    MS_LOG(ERROR) << "Hcom init failed.";
     return false;
   }
   return true;
@@ -816,12 +817,14 @@ bool AscendKernelRuntime::DestroyHccl() {
   if (!HcclExecutorManager::GetInstance().Finalize()) {
     MS_LOG(ERROR) << "Dynamic Shape Hccl Finalize Failed";
   }
-  HcclResult res = hcom_destroy();
-  if (res != HCCL_SUCCESS) {
+
+  bool res = hccl::FinalizeHccl();
+  if (!res) {
     MS_LOG(ERROR) << "Hccl destroy failed";
     return false;
   }
-  MS_LOG(INFO) << "Hccl destroy successful, status = " << res << ".";
+
+  MS_LOG(INFO) << "Hccl destroy successful.";
   context_ptr->set_param<bool>(MS_CTX_ENABLE_HCCL, false);
   return true;
 }
@@ -855,7 +858,7 @@ void AscendKernelRuntime::KernelLaunchProfiling(const std::string &kernel_name)
   auto try_emplace_ret = stream_id_task_id_op_name_map_.try_emplace(stream_task_pair, kernel_name);
   if (!try_emplace_ret.second) {
     MS_LOG(WARNING) << "Profiling duplicate key, task_id:" << stream_task_pair.second
-                      << " stream_id:" << stream_task_pair.first << " name:" << kernel_name;
+                    << " stream_id:" << stream_task_pair.first << " name:" << kernel_name;
   }
   if (stream_id_task_id_op_name_map_.size() > kProfilingMaxTaskIdInStream) {
     MS_LOG(EXCEPTION) << "Too many profiling data";

mindspore/ccsrc/runtime/device/ascend/tasksink/runtime_utils.cc

@@ -1,106 +0,0 @@
-/**
- * Copyright 2019 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 "runtime/device/ascend/tasksink/runtime_utils.h"
-
-#include <string>
-
-#include "hccl/hcom.h"
-#include "utils/log_adapter.h"
-#include "hccl/hccl_types.h"
-#include "utils/utils.h"
-
-constexpr auto kHcomBroadcast = "hcom_broadcast_";
-constexpr auto kHcomAllGather = "hcom_all_gather_";
-constexpr auto kHcomAllReduce = "hcom_all_reduce_";
-constexpr auto kHcomReduceScatter = "hcom_reduce_scatter_";
-constexpr auto kUnderline = "_";
-namespace mindspore {
-namespace device {
-namespace ascend {
-namespace tasksink {
-bool RuntimeUtils::HcomBindModel(rtModel_t model, rtStream_t stream) {
-  HcclResult ret = hcom_bind_model(model, stream);
-  if (ret != HCCL_SUCCESS) {
-    MS_LOG(ERROR) << "Call hcom_bind_model failed, ret: 0x" << static_cast<int>(ret);
-    return false;
-  }
-  return true;
-}
-
-bool RuntimeUtils::HcomUnbindModel(rtModel_t model) {
-  HcclResult ret = hcom_unbind_model(model);
-  if (ret != HCCL_SUCCESS) {
-    MS_LOG(ERROR) << "Call hcom_unbind_model failed, ret: 0x" << static_cast<int>(ret);
-    return false;
-  }
-  return true;
-}
-
-bool RuntimeUtils::HcomDistribute(const std::shared_ptr<HcclTaskInfo> &task_info, rtStream_t stream) {
-  MS_LOG(INFO) << "hccl distribute start";
-  MS_EXCEPTION_IF_NULL(task_info);
-  HcclResult ret;
-  static uint32_t task_counter = 0;
-  auto hccl_group = task_info->group();
-  if (task_info->hccl_type() == kBroadcastOpName) {
-    // call hcom broadcast interface to run op
-    const string tag_broadcast = kHcomBroadcast + std::to_string(task_counter++) + kUnderline + std::to_string(0);
-    ret = hcom_broadcast(tag_broadcast.c_str(), task_info->input_data_addr(), static_cast<u64>(task_info->count()),
-                         static_cast<HcclDataType>(task_info->data_type()), static_cast<u32>(task_info->root_id()),
-                         hccl_group.c_str(), stream);
-    if (ret != HCCL_SUCCESS) {
-      MS_LOG(ERROR) << "hcom_broadcast fail, return ret: " << static_cast<int>(ret);
-      return false;
-    }
-  } else if (task_info->hccl_type() == kAllGatherOpName) {
-    // call hcom allgather interface to run op
-    const string tag_all_gather = kHcomAllGather + std::to_string(task_counter++) + kUnderline + std::to_string(0);
-    ret = hcom_all_gather(tag_all_gather.c_str(), task_info->input_data_addr(), task_info->output_data_addr(),
-                          static_cast<u64>(task_info->count()), static_cast<HcclDataType>(task_info->data_type()),
-                          hccl_group.c_str(), stream);
-    if (ret != HCCL_SUCCESS) {
-      MS_LOG(ERROR) << "hcom_all_gather fail, return ret: " << ret;
-      return false;
-    }
-  } else if (task_info->hccl_type() == kAllReduceOpName) {
-    // call hcom allreduce interface to run op
-    const string tag_all_reduce = kHcomAllReduce + std::to_string(task_counter++) + kUnderline + std::to_string(0);
-    ret = hcom_all_reduce(tag_all_reduce.c_str(), task_info->input_data_addr(), task_info->output_data_addr(),
-                          static_cast<u64>(task_info->count()), static_cast<HcclDataType>(task_info->data_type()),
-                          static_cast<HcclReduceOp>(task_info->op_type()), hccl_group.c_str(), stream);
-    if (ret != HCCL_SUCCESS) {
-      MS_LOG(ERROR) << "hcom_all_reduce fail, return ret: " << ret;
-      return false;
-    }
-  } else if (task_info->hccl_type() == kReduceScatterOpName) {
-    // call hcom reducescatter interface to run op
-    const string tag_reduce_scatter =
-      kHcomReduceScatter + std::to_string(task_counter++) + kUnderline + std::to_string(0);
-    ret = hcom_reduce_scatter(tag_reduce_scatter.c_str(), task_info->input_data_addr(), task_info->output_data_addr(),
-                              static_cast<u64>(task_info->count()), static_cast<HcclDataType>(task_info->data_type()),
-                              static_cast<HcclReduceOp>(task_info->op_type()), hccl_group.c_str(), stream);
-    if (ret != HCCL_SUCCESS) {
-      MS_LOG(ERROR) << "hcom_reduce_scatter fail, return ret: " << ret;
-      return false;
-    }
-  }
-  return true;
-}
-}  // namespace tasksink
-}  // namespace ascend
-}  // namespace device
-}  // namespace mindspore

mindspore/ccsrc/runtime/device/ascend/tasksink/runtime_utils.h

@@ -1,39 +0,0 @@
-/**
- * Copyright 2019 Huawei Technologies Co., Ltd
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-#ifndef MINDSPORE_CCSRC_RUNTIME_DEVICE_ASCEND_TASKSINK_RUNTIME_UTILS_H_
-#define MINDSPORE_CCSRC_RUNTIME_DEVICE_ASCEND_TASKSINK_RUNTIME_UTILS_H_
-
-#include <memory>
-#include "runtime/rt.h"
-#include "framework/ge_runtime/task_info.h"
-
-using ge::model_runner::HcclTaskInfo;
-
-namespace mindspore {
-namespace device {
-namespace ascend {
-namespace tasksink {
-class RuntimeUtils {
- public:
-  static bool HcomBindModel(rtModel_t model, rtStream_t stream);
-  static bool HcomUnbindModel(rtModel_t model);
-  static bool HcomDistribute(const std::shared_ptr<HcclTaskInfo> &task_info, rtStream_t stream);
-};
-}  // namespace tasksink
-}  // namespace ascend
-}  // namespace device
-}  // namespace mindspore
-#endif  // MINDSPORE_CCSRC_RUNTIME_DEVICE_ASCEND_TASKSINK_RUNTIME_UTILS_H_

mindspore/ccsrc/runtime/hccl_adapter/CMakeLists.txt

@@ -0,0 +1,8 @@
+file(GLOB_RECURSE HCCL_ADAPTER_SRC_LIST ./*.cc)
+set_property(SOURCE ${HCCL_ADAPTER_SRC_LIST} PROPERTY COMPILE_DEFINITIONS SUBMODULE_ID=mindspore::SubModuleId::SM_HCCL_ADPT)
+add_library(hccl_adapter SHARED ${HCCL_ADAPTER_SRC_LIST})
+target_include_directories(hccl_adapter PRIVATE ${CMAKE_BINARY_DIR}/proto/ge)
+add_dependencies(hccl_adapter graph)
+if (CMAKE_SYSTEM_NAME MATCHES "Linux")
+    target_link_options(hccl_adapter PRIVATE -Wl,-init,mindspore_log_init)
+endif ()

mindspore/ccsrc/runtime/hccl_adapter/converter.cc

@@ -0,0 +1,129 @@
+/**
+ * Copyright 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 "runtime/hccl_adapter/converter.h"
+#include <map>
+#include <algorithm>
+#include <tuple>
+#define google ascend_private
+#include "register/ops_kernel_builder_registry.h"
+#include "graph/compute_graph.h"
+#include "graph/debug/ge_attr_define.h"
+#undef google
+#include "backend/session/anf_runtime_algorithm.h"
+#include "utils/log_adapter.h"
+#include "utils/ms_utils.h"
+#include "mindspore/core/base/core_ops.h"
+#include "transform/graph_ir/util.h"
+
+static constexpr char kGeOpNameHcclAllRudece[] = "HcomAllReduce";
+static constexpr char kGeOpNameHcclAllGather[] = "HcomAllGather";
+static constexpr char kGeOpNameHcclBroadcast[] = "HcomBroadcast";
+static constexpr char kGeOpNameHcclReduceScatter[] = "HcomReduceScatter";
+static constexpr char kGeNodeAttrUsedStreamNum[] = "used_stream_num";
+static constexpr char kStubDataStructureName[] = "any_name_can_work";
+
+static ge::DataType ConvertHcclDTypeToGeDType(HcclDataType datatype) {
+  static map<HcclDataType, ge::DataType> kHcomDataTypeMap = {
+    {HCCL_DATA_TYPE_FP32, ge::DT_FLOAT},
+    {HCCL_DATA_TYPE_FP16, ge::DT_FLOAT16},
+    {HCCL_DATA_TYPE_INT8, ge::DT_INT8},
+    {HCCL_DATA_TYPE_INT32, ge::DT_INT32},
+  };
+
+  auto iter = kHcomDataTypeMap.find(datatype);
+  if (iter == kHcomDataTypeMap.end()) {
+    MS_LOG(EXCEPTION) << "Unknown hccl data type " << datatype;
+  }
+
+  return iter->second;
+}
+
+namespace mindspore::hccl {
+std::string GetGeNodeName(const CNodePtr &cnode) {
+  MS_EXCEPTION_IF_NULL(cnode);
+  if (IsPrimitiveCNode(cnode, prim::kPrimAllReduce)) {
+    return kGeOpNameHcclAllRudece;
+  } else if (IsPrimitiveCNode(cnode, prim::kPrimAllGather)) {
+    return kGeOpNameHcclAllGather;
+  } else if (IsPrimitiveCNode(cnode, prim::kPrimBroadcast)) {
+    return kGeOpNameHcclBroadcast;
+  } else if (IsPrimitiveCNode(cnode, prim::kPrimReduceScatter)) {
+    return kGeOpNameHcclReduceScatter;
+  }
+
+  MS_LOG(EXCEPTION) << "Unknown hccl node type " << cnode->DebugString();
+}
+
+std::tuple<ge::NodePtr, ge::ComputeGraphPtr> GenerateStubGeNode(const AnfNodePtr &anf_node, HcclDataType datatype) {
+  MS_EXCEPTION_IF_NULL(anf_node);
+  auto cnode = anf_node->cast<CNodePtr>();
+  MS_EXCEPTION_IF_NULL(cnode);
+  std::string ge_node_name = GetGeNodeName(cnode);
+
+  ge::OpDescPtr op_desc = std::make_shared<ge::OpDesc>(kStubDataStructureName, ge_node_name);
+  MS_EXCEPTION_IF_NULL(op_desc);
+  for (size_t i = 1; i < cnode->size(); ++i) {
+    auto &input = cnode->input(i);
+    std::vector<int64_t> ge_shape;
+    auto ms_shape = AnfAlgo::GetOutputInferShape(input, 0);
+    std::transform(ms_shape.begin(), ms_shape.end(), std::back_inserter(ge_shape),
+                   [](size_t in) { return static_cast<int64_t>(in); });
+    op_desc->AddInputDesc(
+      ge::GeTensorDesc(ge::GeShape(ge_shape), ge::Format::FORMAT_NCHW,
+                       transform::TransformUtil::ConvertDataType(AnfAlgo::GetOutputInferDataType(input, 0))));
+  }
+
+  // set node data type
+  bool ret = ge::AttrUtils::SetDataType(*op_desc, ge::HCOM_ATTR_DATA_TYPE, ConvertHcclDTypeToGeDType(datatype));
+  if (!ret) {
+    MS_LOG(EXCEPTION) << "Set attr " << ge::HCOM_ATTR_DATA_TYPE << " for ge node of " << cnode->DebugString()
+                      << " failed.";
+  }
+
+  // set rank size
+  if (AnfAlgo::HasNodeAttr(kAttrRankSize, cnode)) {
+    auto rank_size = AnfAlgo::GetNodeAttr<int64_t>(cnode, kAttrRankSize);
+    ret = ge::AttrUtils::SetInt(*op_desc, ge::HCOM_ATTR_RANK_SIZE, rank_size);
+    if (!ret) {
+      MS_LOG(EXCEPTION) << "Set attr " << ge::HCOM_ATTR_RANK_SIZE << " for ge node of " << cnode->DebugString()
+                        << " failed.";
+    }
+  }
+
+  ge::ComputeGraphPtr ge_graph = std::make_shared<ge::ComputeGraph>(kStubDataStructureName);
+  MS_EXCEPTION_IF_NULL(ge_graph);
+  auto ge_node = ge_graph->AddNode(op_desc);
+  return {ge_node, ge_graph};
+}
+
+HcclTaskInfo ParseDomiTask(const ge::OpDescPtr &op, const domi::TaskDef &task_def) {
+  MS_EXCEPTION_IF_NULL(op);
+  // workspace size
+  auto workspace_sizes = op->GetWorkspaceBytes();
+  if (workspace_sizes.size() != 1) {
+    MS_LOG(EXCEPTION) << "Unexpected workspace size " << workspace_sizes.size();
+  }
+  int64_t workspace_size = workspace_sizes[0];
+  // stream num
+  int64_t stream_num;
+  bool ret = ge::AttrUtils::GetInt(*op, kGeNodeAttrUsedStreamNum, stream_num);
+  if (!ret) {
+    MS_LOG(EXCEPTION) << "Get attr " << kGeNodeAttrUsedStreamNum << " for ge node " << op->GetType() << " failed.";
+  }
+
+  return {task_def.private_def(), workspace_size, stream_num};
+}
+}  // namespace mindspore::hccl

mindspore/ccsrc/runtime/hccl_adapter/converter.h

@@ -0,0 +1,38 @@
+/**
+ * Copyright 2019 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef MINDSPORE_RUNTIME_HCCL_ADAPTER_CONVERTER_H
+#define MINDSPORE_RUNTIME_HCCL_ADAPTER_CONVERTER_H
+
+#include <string>
+#include <vector>
+#include <memory>
+#include <tuple>
+#define google ascend_private
+#include "graph/node.h"
+#include "common/opskernel/ops_kernel_info_types.h"
+#include "proto/task.pb.h"
+#undef google
+#include "runtime/hccl_adapter/hccl_adapter.h"
+#include "mindspore/core/ir/anf.h"
+
+namespace mindspore::hccl {
+// return graph ptr to keep reference count
+std::tuple<ge::NodePtr, ge::ComputeGraphPtr> GenerateStubGeNode(const AnfNodePtr &anf_node, HcclDataType datatype);
+HcclTaskInfo ParseDomiTask(const ge::OpDescPtr &op, const domi::TaskDef &task_def);
+std::string GetGeNodeName(const CNodePtr &cnode);
+}  // namespace mindspore::hccl
+#endif  // MINDSPORE_RUNTIME_HCCL_ADAPTER_CONVERTER_H

mindspore/ccsrc/runtime/hccl_adapter/hccl_adapter.cc

@@ -0,0 +1,165 @@
+/**
+ * Copyright 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 "runtime/hccl_adapter/hccl_adapter.h"
+#include <map>
+#include <algorithm>
+#define google ascend_private
+#include "register/ops_kernel_builder_registry.h"
+#include "common/opskernel/ops_kernel_info_store.h"
+#include "external/ge/ge_api_types.h"
+#undef google
+#include "utils/log_adapter.h"
+#include "utils/ms_utils.h"
+#include "runtime/hccl_adapter/converter.h"
+#include "runtime/hccl_adapter/hcom_graph_adaptor.h"
+
+static constexpr const char *kHcclOpsKernelInfoStore = "ops_kernel_info_hccl";
+static constexpr const char *kHcclDeployModeEnv = "DEPLOY_MODE";
+// following global var, thread safety is not guaranteed
+static std::shared_ptr<ge::OpsKernelInfoStore> ops_kernel_info_store = nullptr;
+static ge::OpsKernelBuilderPtr ops_kernel_builder = nullptr;
+
+namespace mindspore::hccl {
+static std::map<std::string, std::string> GenHcclOptions(uint32_t device_id, std::string_view rank_id,
+                                                         std::string_view rank_file) {
+  auto env_deploy_mode = common::GetEnv(kHcclDeployModeEnv);
+  if (env_deploy_mode.empty()) {
+    MS_LOG(WARNING) << kHcclDeployModeEnv << " is not set in ENV. Now set to default value 0";
+    env_deploy_mode = "0";
+  }
+
+  return std::map<std::string, std::string>({{ge::OPTION_EXEC_IS_USEHCOM, "1"},
+                                             {ge::OPTION_EXEC_IS_USEHVD, "0"},
+                                             {ge::OPTION_EXEC_HCCL_FLAG, "1"},
+                                             {ge::OPTION_EXEC_DEVICE_ID, std::to_string(device_id)},
+                                             {ge::OPTION_EXEC_RANK_ID, rank_id.data()},
+                                             {ge::OPTION_EXEC_POD_NAME, rank_id.data()},
+                                             {ge::OPTION_EXEC_RANK_TABLE_FILE, rank_file.data()},
+                                             {ge::OPTION_GRAPH_RUN_MODE, "1"},
+                                             {ge::OPTION_EXEC_HCCL_FLAG, "1"},
+                                             {ge::OPTION_EXEC_DEPLOY_MODE, env_deploy_mode}});
+}
+
+bool InitHccl(uint32_t device_id, std::string_view rank_id, std::string_view rank_file) {
+  MS_LOG(INFO) << "Start init hccl adapter.";
+  // get ops_kernel_builder
+  std::map<std::string, ge::OpsKernelBuilderPtr> all_builders = ge::OpsKernelBuilderRegistry::GetInstance().GetAll();
+  if (all_builders.size() != 1) {
+    MS_LOG(EXCEPTION) << "Builders size should be 1 (hccl builder), but is " << all_builders.size();
+  }
+
+  MS_LOG(INFO) << "Get builder " << all_builders.begin()->first;
+  ops_kernel_builder = all_builders.begin()->second;
+  MS_EXCEPTION_IF_NULL(ops_kernel_builder);
+  // init ops_kernel_builder
+  auto options = GenHcclOptions(device_id, rank_id, rank_file);
+  auto ret = ops_kernel_builder->Initialize(options);
+  if (ret != ge::SUCCESS) {
+    MS_LOG(EXCEPTION) << "Init builder failed, ret = " << ret;
+  }
+
+  // get ops_kernel_info_store
+  ret = ::Initialize(options);
+  if (ret != ge::SUCCESS) {
+    MS_LOG(EXCEPTION) << "Init plugin so failed, ret = " << ret;
+  }
+
+  std::map<std::string, std::shared_ptr<ge::OpsKernelInfoStore>> all_ops_kernel_info_stores;
+  ::GetOpsKernelInfoStores(all_ops_kernel_info_stores);
+  for (auto &[name, ptr] : all_ops_kernel_info_stores) {
+    if (name == kHcclOpsKernelInfoStore) {
+      ops_kernel_info_store = ptr;
+      break;
+    }
+  }
+  MS_EXCEPTION_IF_NULL(ops_kernel_info_store);
+  ret = ops_kernel_info_store->Initialize(options);
+  if (ret != ge::SUCCESS) {
+    MS_LOG(EXCEPTION) << "Init info store failed, ret = " << ret;
+  }
+  MS_LOG(INFO) << "Init hccl adapter success.";
+  return true;
+}
+
+bool FinalizeHccl() {
+  MS_LOG(INFO) << "Start destroy hccl adapter.";
+  if (ops_kernel_info_store != nullptr) {
+    auto ret = ops_kernel_info_store->Finalize();
+    if (ret != ge::SUCCESS) {
+      MS_LOG(ERROR) << "Destory info store failed, ret = " << ret;
+      return false;
+    }
+  }
+
+  if (ops_kernel_builder != nullptr) {
+    auto ret = ops_kernel_builder->Finalize();
+    if (ret != ge::SUCCESS) {
+      MS_LOG(ERROR) << "Destory builder failed, ret = " << ret;
+      return false;
+    }
+  }
+
+  ::Finalize();
+  ge::OpsKernelBuilderRegistry::GetInstance().UnregisterAll();
+  ops_kernel_info_store.reset();
+  ops_kernel_builder.reset();
+  MS_LOG(INFO) << "Destroy hccl adapter success.";
+  return true;
+}
+
+bool GenTask(const AnfNodePtr &node, HcclDataType datatype, std::vector<HcclTaskInfo> *task_info_lists) {
+  MS_EXCEPTION_IF_NULL(ops_kernel_builder);
+  MS_EXCEPTION_IF_NULL(task_info_lists);
+  MS_LOG(INFO) << "Start generate task for hccl node " << node->DebugString();
+  auto [ge_node, ge_graph] = GenerateStubGeNode(node, datatype);
+  MS_EXCEPTION_IF_NULL(ge_node);
+  auto op = ge_node->GetOpDesc();
+  MS_EXCEPTION_IF_NULL(op);
+
+  MS_LOG(INFO) << "Start to call CalcOpRunningParam";
+  ge::Status ret = ops_kernel_builder->CalcOpRunningParam(*ge_node);
+  if (ret != ge::SUCCESS) {
+    MS_LOG(ERROR) << "OpsKernelBuilder CalcOpRunningParam failed, ret = " << ret;
+    return false;
+  }
+  MS_LOG(INFO) << "Start to call GenerateTask";
+  ge::RunContext unused_ctx;
+  std::vector<domi::TaskDef> domi_tasks;
+  ret = ops_kernel_builder->GenerateTask(*ge_node, unused_ctx, domi_tasks);
+  if (ret != ge::SUCCESS) {
+    MS_LOG(ERROR) << "OpsKernelBuilder GenerateTask failed, ret = " << ret;
+    return false;
+  }
+
+  task_info_lists->clear();
+  std::transform(domi_tasks.begin(), domi_tasks.end(), std::back_inserter(*task_info_lists),
+                 [&op](const domi::TaskDef &task_def) -> HcclTaskInfo { return ParseDomiTask(op, task_def); });
+  MS_LOG(INFO) << "Generate task for node " << node->DebugString() << " success.";
+  ge_graph.reset();
+  return true;
+}
+
+bool CalcOpRunningParam(const AnfNodePtr &node) { return true; }
+
+void *GetHcclOpsKernelInfoStore() { return ops_kernel_info_store.get(); }
+
+std::string GetHcclType(const AnfNodePtr &node) {
+  MS_EXCEPTION_IF_NULL(node);
+  auto cnode = node->cast<CNodePtr>();
+  MS_EXCEPTION_IF_NULL(cnode);
+  return GetGeNodeName(cnode);
+}
+}  // namespace mindspore::hccl

mindspore/ccsrc/runtime/hccl_adapter/hccl_adapter.h

@@ -0,0 +1,43 @@
+/**
+ * Copyright 2019 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef MINDSPORE_RUNTIME_HCCL_ADAPTER_HCCL_ADAPTER_H
+#define MINDSPORE_RUNTIME_HCCL_ADAPTER_HCCL_ADAPTER_H
+
+#include <string>
+#include <vector>
+#include <memory>
+#include "mindspore/core/ir/anf.h"
+#include "external/hccl/hccl_types.h"
+
+#define MS_API __attribute__((visibility("default")))
+
+namespace mindspore::hccl {
+struct MS_API HcclTaskInfo {
+  std::string private_def;
+  int64_t workspace_size;
+  int64_t stream_num;
+};
+
+MS_API bool InitHccl(uint32_t device_id, std::string_view rank_id, std::string_view rank_file);
+MS_API bool FinalizeHccl();
+MS_API bool GenTask(const AnfNodePtr &node, HcclDataType datatype, std::vector<HcclTaskInfo> *task_info_lists);
+MS_API bool CalcOpRunningParam(const AnfNodePtr &node);
+MS_API void *GetHcclOpsKernelInfoStore();
+MS_API std::string GetHcclType(const AnfNodePtr &node);
+}  // namespace mindspore::hccl
+#undef MS_API
+#endif  // MINDSPORE_RUNTIME_HCCL_ADAPTER_HCCL_ADAPTER_H

mindspore/ccsrc/runtime/hccl_adapter/hcom_graph_adaptor.h

@@ -0,0 +1,32 @@
+/**
+ * Copyright 2019 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef MINDSPORE_RUNTIME_HCCL_ADAPTER_HCOM_GRAPH_ADAPTOR_H
+#define MINDSPORE_RUNTIME_HCCL_ADAPTER_HCOM_GRAPH_ADAPTOR_H
+
+#include <string>
+#include <map>
+#include <memory>
+#include "mindspore/core/ir/anf.h"
+#include "common/opskernel/ops_kernel_info_store.h"
+
+extern "C" {
+ge::Status Initialize(const std::map<std::string, std::string> &);
+ge::Status Finalize();
+void GetOpsKernelInfoStores(std::map<std::string, std::shared_ptr<ge::OpsKernelInfoStore>> &);
+}
+
+#endif  // MINDSPORE_RUNTIME_HCCL_ADAPTER_HCOM_GRAPH_ADAPTOR_H

mindspore/core/utils/log_adapter.cc

@@ -181,7 +181,8 @@ static const char *GetSubModuleName(SubModuleId module_id) {
     "VM",         // SM_VM
     "PROFILER",   // SM_PROFILER
     "PS",         // SM_PS
-    "LITE"        // SM_LITE
+    "LITE",       // SM_LITE
+    "HCCL_ADPT"   // SM_HCCL_ADPT
   };
 
   return sub_module_names[module_id % NUM_SUBMODUES];

mindspore/core/utils/log_adapter.h

@@ -125,6 +125,7 @@ enum SubModuleId : int {
   SM_PROFILER,     // profiler
   SM_PS,           // Parameter Server
   SM_LITE,         // LITE
+  SM_HCCL_ADPT,    // Hccl Adapter
   NUM_SUBMODUES    // number of submodules
 };
 

tests/ut/cpp/stub/ge/ge_task_launch_stub.cc

@@ -15,7 +15,7 @@
  */
 #include <vector>
 #include "framework/ge_runtime/model_runner.h"
-#include "runtime/device/ascend/tasksink/runtime_utils.h"
+#include "runtime/hccl_adapter/hccl_adapter.h"
 
 namespace ge {
 namespace model_runner {
@@ -60,15 +60,12 @@ const std::map<std::string, std::shared_ptr<RuntimeInfo>> &ModelRunner::GetRunti
 }  // namespace ge
 
 namespace mindspore {
-namespace device {
-namespace ascend {
-namespace tasksink {
-bool RuntimeUtils::HcomBindModel(rtModel_t model, rtStream_t stream) { return true; }
-
-bool RuntimeUtils::HcomUnbindModel(rtModel_t model) { return true; }
-
-bool RuntimeUtils::HcomDistribute(const std::shared_ptr<HcclTaskInfo> &task_info, rtStream_t stream) { return true; }
-}  // namespace tasksink
-}  // namespace ascend
-}  // namespace device
+namespace hccl {
+bool InitHccl(uint32_t, std::string_view, std::string_view) { return true; }
+bool FinalizeHccl() { return true; }
+bool GenTask(const AnfNodePtr &, HcclDataType, std::vector<HcclTaskInfo> *) { return true; }
+bool CalcOpRunningParam(const AnfNodePtr &) { return true; }
+void *GetHcclOpsKernelInfoStore() { return nullptr; }
+std::string GetHcclType(const AnfNodePtr &) { return ""; }
+}  // namespace hccl
 }  // namespace mindspore