graphengine/ge/executor/ge_executor.cc

/**
 * 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 "executor/ge_executor.h"
#include <cce/cce.h>
#include <cce/compiler_stub.h>
#include <ctime>
#include <iostream>
#include "common/debug/log.h"
#include "common/ge/ge_util.h"
#include "common/helper/model_helper.h"
#include "common/profiling/profiling_manager.h"
#include "common/dump/dump_manager.h"
#include "common/util.h"
#include "framework/common/debug/ge_log.h"
#include "framework/common/util.h"
#include "graph/execute/graph_execute.h"
#include "graph/load/graph_loader.h"
#include "graph/load/new_model_manager/davinci_model_parser.h"
#include "graph/load/new_model_manager/model_manager.h"
#include "graph/manager/graph_mem_allocator.h"
#include "graph/model.h"
#include "graph/utils/graph_utils.h"
#include "mmpa/mmpa_api.h"
#include "single_op/single_op_manager.h"
#include "graph/manager/graph_var_manager.h"
#include "graph/load/new_model_manager/davinci_model.h"
#include "opskernel_manager/ops_kernel_builder_manager.h"

using std::string;
using std::vector;

namespace {
const size_t kDynamicBatchSizeVecSize = 1;
const size_t kStaticBatchInfoSize = 1;
const size_t kDynamicImageSizeVecSize = 2;
const size_t kDynamicImageSizeInputSize = 2;
const char *const kBatchLabel = "Batch_";

void GetGeTensorDescFromDomiInfo(std::vector<ge::TensorDesc> &ge_descs,
                                 const std::vector<ge::InputOutputDescInfo> &domi_descs,
                                 const std::vector<uint32_t> &formats) {
  uint32_t idx = 0;
  for (auto desc_item : domi_descs) {
    ge::TensorDesc ge_desc;
    ge_desc.SetName(desc_item.name);
    ge_desc.SetDataType(static_cast<ge::DataType>(desc_item.data_type));
    ge_desc.SetFormat(static_cast<ge::Format>(formats[idx]));
    std::vector<int64_t> shape_dims;
    for (auto dim : desc_item.shape_info.dims) {
      shape_dims.push_back(dim);
    }
    ge::Shape ge_shape(shape_dims);
    ge_desc.SetShape(ge_shape);
    ge_desc.SetSize(desc_item.size);
    ge_desc.SetShapeRange(desc_item.shape_info.shape_ranges);
    ge_descs.emplace_back(ge_desc);
    ++idx;
  }
}

void GetDomiInputData(const ge::RunModelData &input_data, ge::InputData &inputs) {
  inputs.index = input_data.index;
  inputs.model_id = input_data.modelId;
  inputs.timestamp = input_data.timestamp;
  inputs.timeout = input_data.timeout;
  inputs.request_id = input_data.request_id;
  for (const auto &data_item : input_data.blobs) {
    ge::DataBuffer dataBuf{data_item.data, data_item.length, data_item.isDataSupportMemShare};
    inputs.blobs.emplace_back(dataBuf);
  }
}

void GetDomiOutputData(const ge::RunModelData &output_data, ge::OutputData &outputs) {
  outputs.index = output_data.index;
  outputs.model_id = output_data.modelId;
  for (const auto &data_item : output_data.blobs) {
    ge::DataBuffer dataBuf(data_item.data, data_item.length, data_item.isDataSupportMemShare);
    outputs.blobs.emplace_back(dataBuf);
  }
}

void SetDynamicInputDataFlag(const ge::RunModelData &input_data, const std::vector<std::vector<int64_t>> batch_info,
                             ge::InputData &inputs) {
  inputs.is_dynamic_batch = true;
  std::string batch_label;
  size_t match_idx = 0;
  for (size_t i = 0; i < batch_info.size(); ++i) {
    // dynamic_dims
    if (input_data.dynamic_dims.size() != 0) {
      bool is_match = true;
      for (size_t j = 0; j < static_cast<size_t>(input_data.dynamic_dims.size()); ++j) {
        if (static_cast<uint64_t>(batch_info[i][j]) != input_data.dynamic_dims[j]) {
          is_match = false;
          break;
        }
      }
      if (is_match) {
        match_idx = i;
        break;
      }
      // dynamic_batch_size
    } else if (batch_info[i].size() == kDynamicBatchSizeVecSize &&
               batch_info[i][0] == static_cast<int64_t>(input_data.dynamic_batch_size)) {
      match_idx = i;
      break;
      // dynamic_image_size
    } else if (batch_info[i].size() == kDynamicImageSizeVecSize &&
               batch_info[i][0] == static_cast<int64_t>(input_data.dynamic_image_height) &&
               batch_info[i][1] == static_cast<int64_t>(input_data.dynamic_image_width)) {
      match_idx = i;
      break;
    }
  }
  batch_label = kBatchLabel + std::to_string(match_idx);
  inputs.batch_label = batch_label;
  GELOGI("current batch label:%s", batch_label.c_str());
}

bool IsDynamicBatchSizeMatchModel(uint64_t batch_size, const vector<std::vector<int64_t>> &batch_info) {
  if (batch_info.empty()) {
    GELOGE(ge::FAILED, "Dynamic batch info is empty.");
    return false;
  }

  for (auto batch : batch_info) {
    if (batch.size() != kDynamicBatchSizeVecSize) {
      GELOGE(ge::FAILED, "Dynamic batch param num is %zu, current batch size is %zu.", kDynamicBatchSizeVecSize,
             batch.size());
      return false;
    }
    if (batch[0] == static_cast<int64_t>(batch_size)) {
      return true;
    }
  }
  GELOGE(ge::FAILED, "Dynamic batch %lu can not match the gear of model.", batch_size);
  return false;
}

bool IsDynamicImageSizeMatchModel(uint64_t image_height, uint64_t image_width,
                                  const vector<std::vector<int64_t>> &batch_info) {
  if (batch_info.empty()) {
    GELOGE(ge::FAILED, "Dynamic batch info is empty.");
    return false;
  }

  for (auto resolution : batch_info) {
    if (resolution.size() != kDynamicImageSizeVecSize) {
      GELOGE(ge::FAILED, "Dynamic resolution param num is %zu, current resolution size is %zu.",
             kDynamicImageSizeVecSize, resolution.size());
      return false;
    }
    if (resolution[0] == static_cast<int64_t>(image_height) && resolution[1] == static_cast<int64_t>(image_width)) {
      return true;
    }
  }

  GELOGE(ge::FAILED, "Dynamic resolution (%lu,%lu) can not match the gear of model.", image_height, image_width);
  return false;
}

bool IsDynmaicDimsSizeMatchModel(const vector<uint64_t> cur_dynamic_dims,
                                 const vector<vector<int64_t>> &batch_info) {
  if (batch_info.empty()) {
    GELOGE(ge::FAILED, "Dynamic batch info is empty.");
    return false;
  }

  bool find_match = false;
  for (auto resolution : batch_info) {
    if (cur_dynamic_dims.size() != resolution.size()) {
      GELOGE(ge::FAILED, "Cur dynamic dims param num is %zu, current resolution size is %zu.",
             cur_dynamic_dims.size(), resolution.size());
      return false;
    }
    bool flag = true;
    for (std::size_t i = 0; i < resolution.size(); ++i) {
      if (cur_dynamic_dims[i] != static_cast<uint64_t>(resolution[i])) {
        flag = false;
        break;
      }
    }
    if (flag) {
      find_match = true;
      break;
    }
  }
  if (!find_match) {
    GELOGE(ge::FAILED, "choose dynamic dims can not match the gear of model.");
  }
  return find_match;
}
}  // namespace

namespace ge {
bool GeExecutor::isInit_ = false;

GeExecutor::GeExecutor() {}

Status GeExecutor::Initialize() {
  GELOGI("Init GeExecutor begin.");
  if (isInit_) {
    GELOGW("Already initialized, no need to be initialized again.");
    return ge::SUCCESS;
  }

  std::vector<rtMemType_t> mem_type(1, RT_MEMORY_HBM);
  mem_type.push_back(RT_MEMORY_P2P_DDR);
  auto ret = MemManager::Instance().Initialize(mem_type);
  if (ret != SUCCESS) {
    GELOGE(ret, "Memory Manager init failed.");
    return ret;
  }

  GE_CHK_STATUS_RET(OpsKernelBuilderManager::Instance().Initialize({}, false),
                    "Failed to initialize OpsKernelBuilders");

  // Start profiling
  Options profiling_options;
  profiling_options.device_id = 0;
  // job id need to be set, the value is meaningless;
  profiling_options.job_id = "1";
  ProfilingManager::Instance().Init(profiling_options);

  isInit_ = true;
  GELOGI("Init GeExecutor over.");
  return ge::SUCCESS;
}

Status GeExecutor::Finalize() {
  GELOGI("Uninit GeExecutor begin.");
  if (isInit_ == false) {
    GELOGW("GeExecutor has not been initialized.");
    return ge::SUCCESS;
  }

  (void) OpsKernelBuilderManager::Instance().Finalize();

  // Stop profiling
  if (ProfilingManager::Instance().ProfilingOn()) {
    ProfilingManager::Instance().StopProfiling();
    ProfilingManager::Instance().PluginUnInit();
  }

  GELOGI("Uninit GeExecutor over.");
  return ge::SUCCESS;
}

Status GeExecutor::SetDynamicBatchSize(uint32_t model_id, void *dynamic_input_addr, uint64_t length,
                                       uint64_t batch_size) {
  if (dynamic_input_addr == nullptr) {
    GELOGE(ACL_ERROR_GE_DYNAMIC_INPUT_ADDR_INVALID, "Dynamic input addr is nullptr!");
    return ACL_ERROR_GE_DYNAMIC_INPUT_ADDR_INVALID;
  }

  uint64_t size = sizeof(uint32_t);
  if (length < size) {
    GELOGE(ACL_ERROR_GE_DYNAMIC_INPUT_LENGTH_INVALID, "Dynamic input size [%lu] is less than [%lu]!", length, size);
    return ACL_ERROR_GE_DYNAMIC_INPUT_LENGTH_INVALID;
  }
  if (length >= sizeof(uint64_t)) {
    size = sizeof(uint64_t);
  }

  // Verify whether the input dynamic batch matches the model gear
  std::vector<std::vector<int64_t>> batch_info;
  std::vector<uint64_t> batch_num{batch_size};
  int32_t dynamic_type = static_cast<int32_t>(FIXED);
  Status ret = GraphExecutor::GetDynamicBatchInfo(model_id, batch_info, dynamic_type);
  if (ret != SUCCESS) {
    GELOGE(ret, "Get dynamic input info failed.");
    return ret;
  }

  if (!IsDynamicBatchSizeMatchModel(batch_size, batch_info)) {
    GELOGE(ACL_ERROR_GE_DYNAMIC_BATCH_SIZE_INVALID, "The current dynamic input does not match the gear of the model.");
    return ACL_ERROR_GE_DYNAMIC_BATCH_SIZE_INVALID;
  }

  ret = GraphExecutor::SetDynamicSize(model_id, batch_num, static_cast<int32_t>(DYNAMIC_BATCH));
  if (ret != SUCCESS) {
    GELOGE(ret, "Set dynamic size failed");
    return ret;
  }
  // memcpy dynamic_batch_size from host to device
  rtError_t rt_ret = rtMemcpy(dynamic_input_addr, length, &batch_size, size, RT_MEMCPY_HOST_TO_DEVICE);
  if (rt_ret != RT_ERROR_NONE) {
    GELOGE(rt_ret, "memcpy dynamic batch input data failed! ret: 0x%X", rt_ret);
    return RT_ERROR_TO_GE_STATUS(rt_ret);
  }
  return SUCCESS;
}

Status GeExecutor::SetDynamicImageSize(uint32_t model_id, void *dynamic_input_addr, uint64_t length,
                                       uint64_t image_height, uint64_t image_width) {
  if (dynamic_input_addr == nullptr) {
    GELOGE(ACL_ERROR_GE_DYNAMIC_INPUT_ADDR_INVALID, "Dynamic input addr is nullptr!");
    return ACL_ERROR_GE_DYNAMIC_INPUT_ADDR_INVALID;
  }

  uint64_t dynamic_input_size = kDynamicImageSizeInputSize * sizeof(uint32_t);
  if (length < dynamic_input_size) {
    GELOGE(ACL_ERROR_GE_DYNAMIC_INPUT_LENGTH_INVALID,
           "Dynamic input size [%lu] is less than [%lu]!", length, dynamic_input_size);
    return ACL_ERROR_GE_DYNAMIC_INPUT_LENGTH_INVALID;
  }
  uint64_t size = sizeof(uint32_t);
  if (length >= kDynamicImageSizeInputSize * sizeof(uint64_t)) {
    size = sizeof(uint64_t);
  }
  // Verify whether the input dynamic resolution matches the model gear
  std::vector<std::vector<int64_t>> batch_info;
  std::vector<uint64_t> batch_num{image_height, image_width};
  int32_t dynamic_type = static_cast<int32_t>(FIXED);
  Status ret = GraphExecutor::GetDynamicBatchInfo(model_id, batch_info, dynamic_type);
  if (ret != SUCCESS) {
    GELOGE(ret, "Get dynamic input info failed.");
    return ret;
  }

  if (!IsDynamicImageSizeMatchModel(image_height, image_width, batch_info)) {
    GELOGE(ACL_ERROR_GE_DYNAMIC_BATCH_SIZE_INVALID, "The current dynamic input does not match the gear of the model.");
    return ACL_ERROR_GE_DYNAMIC_BATCH_SIZE_INVALID;
  }

  ret = GraphExecutor::SetDynamicSize(model_id, batch_num, static_cast<int32_t>(DYNAMIC_IMAGE));
  if (ret != SUCCESS) {
    GELOGE(ret, "Set dynamic size failed");
    return ret;
  }

  // Memcpy dynamic resolution height from host to device
  rtError_t rt_ret =
      rtMemcpy(dynamic_input_addr, size, &image_height, size, RT_MEMCPY_HOST_TO_DEVICE);
  if (rt_ret != RT_ERROR_NONE) {
    GELOGE(rt_ret, "memcpy dynamic resolution input data failed! ret: 0x%X", rt_ret);
    return RT_ERROR_TO_GE_STATUS(rt_ret);
  }

  uint64_t remain_size = length - size;
  // Memcpy dynamic resolution width from host to device
  rt_ret = rtMemcpy(reinterpret_cast<void *>(reinterpret_cast<uint8_t *>(dynamic_input_addr) + size),
                    remain_size, &image_width, size, RT_MEMCPY_HOST_TO_DEVICE);
  if (rt_ret != RT_ERROR_NONE) {
    GELOGE(rt_ret, "memcpy dynamic resolution input data failed!");
    return RT_ERROR_TO_GE_STATUS(rt_ret);
  }
  return SUCCESS;
}

Status GeExecutor::SetDynamicDims(uint32_t model_id, void *dynamic_input_addr, uint64_t length,
                                  const vector<uint64_t> &dynamic_dims) {
  if (dynamic_input_addr == nullptr) {
    GELOGE(ACL_ERROR_GE_DYNAMIC_INPUT_ADDR_INVALID, "Dynamic input addr is nullptr!");
    return ACL_ERROR_GE_DYNAMIC_INPUT_ADDR_INVALID;
  }

  vector<uint64_t> cur_dynamic_dims;
  Status ret = GetCurDynamicDims(model_id, dynamic_dims, cur_dynamic_dims);
  if (ret != SUCCESS) {
    GELOGE(ret, "Set cur gear dynamic dims failed");
    return ret;
  }
  std::vector<std::vector<int64_t>> batch_info;
  int32_t dynamic_type = static_cast<int32_t>(FIXED);
  ret = GraphExecutor::GetDynamicBatchInfo(model_id, batch_info, dynamic_type);
  if (ret != SUCCESS) {
    GELOGE(ret, "Get dynamic input info failed.");
    return ret;
  }

  if (!IsDynmaicDimsSizeMatchModel(cur_dynamic_dims, batch_info)) {
    GELOGE(ACL_ERROR_GE_DYNAMIC_BATCH_SIZE_INVALID, "The current dynamic input does not match the gear of the model.");
    return ACL_ERROR_GE_DYNAMIC_BATCH_SIZE_INVALID;
  }

  ret = GraphExecutor::SetDynamicSize(model_id, cur_dynamic_dims, static_cast<int32_t>(DYNAMIC_DIMS));
  if (ret != SUCCESS) {
    GELOGE(ret, "Set dynamic size failed");
    return ret;
  }

  size_t dynamic_dim_num = cur_dynamic_dims.size();
  uint64_t dynamic_input_size = static_cast<uint64_t>(dynamic_dim_num * sizeof(uint32_t));
  if (length < dynamic_input_size) {
    GELOGE(ACL_ERROR_GE_DYNAMIC_INPUT_LENGTH_INVALID,
           "Dynamic input size [%lu] is less than [%lu]!", length, dynamic_input_size);
    return ACL_ERROR_GE_DYNAMIC_INPUT_LENGTH_INVALID;
  }
  uint64_t size = sizeof(uint32_t);
  if (length >= dynamic_dim_num * sizeof(uint64_t)) {
    size = sizeof(uint64_t);
  }
  rtError_t rt_ret;
  for (uint32_t i = 0; i < dynamic_dim_num; ++i) {
    // Memcpy dynamic dim[i] from host to device
    rt_ret = rtMemcpy(reinterpret_cast<void *>(reinterpret_cast<uint8_t *>(dynamic_input_addr) + size * i),
                      length - size * i, &cur_dynamic_dims[i], size, RT_MEMCPY_HOST_TO_DEVICE);
    if (rt_ret != RT_ERROR_NONE) {
      GELOGE(rt_ret, "memcpy dynamic resolution input data failed!");
      return RT_ERROR_TO_GE_STATUS(rt_ret);
    }
  }
  return SUCCESS;
}

Status GeExecutor::GetCurDynamicDims(uint32_t model_id, const vector<uint64_t> &dynamic_dims,
                                     vector<uint64_t> &cur_dynamic_dims) {
  cur_dynamic_dims.clear();
  vector<ge::TensorDesc> input_desc;
  vector<ge::TensorDesc> output_desc;
  auto ret = GetModelDescInfo(model_id, input_desc, output_desc);
  if (ret != ge::SUCCESS) {
    GELOGE(ret, "GetModelDescInfo failed.");
    return ret;
  }
  vector<string> user_designate_shape_order;
  vector<int64_t> all_data_dims;
  ret = GetUserDesignateShapeOrder(model_id, user_designate_shape_order);
  if (ret != ge::SUCCESS) {
    GELOGE(ret, "GetUserDesignateShapeOrder failed.");
    return ret;
  }
  for (auto &data_name : user_designate_shape_order) {
    for (auto &desc : input_desc) {
      if (desc.GetName() == data_name) {
        for (auto dim : desc.GetShape().GetDims()) {
          all_data_dims.push_back(dim);
        }
        break;
      }
    }
  }
  if (dynamic_dims.size() != all_data_dims.size()){
    GELOGE(ACL_ERROR_GE_DYNAMIC_INPUT_LENGTH_INVALID,
           "Dynamic input size [%lu] is not equal with all data dims size [%lu]!",
           dynamic_dims.size(), all_data_dims.size());
    return ACL_ERROR_GE_DYNAMIC_INPUT_LENGTH_INVALID;
  }
  for (std::size_t i = 0; i < all_data_dims.size(); ++i) {
    if (all_data_dims[i] < 0) {
      cur_dynamic_dims.push_back(dynamic_dims[i]);
    } else if (static_cast<uint64_t>(all_data_dims[i]) != dynamic_dims[i]) {
      GELOGE(ACL_ERROR_GE_DYNAMIC_INPUT_LENGTH_INVALID, "Static dims should be same, index: %zu value: %d should be %d",
             i, dynamic_dims[i], all_data_dims[i]);
      return ACL_ERROR_GE_DYNAMIC_INPUT_LENGTH_INVALID;
    }
  }
  return SUCCESS;
}

Status GeExecutor::GetCurShape(const uint32_t model_id, std::vector<int64_t> &batch_info, int32_t &dynamic_type) {
  GELOGI("Begin to get current shape");
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "GeExecutor has not been initialized!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }
  Status ret = GraphExecutor::GetCurShape(model_id, batch_info, dynamic_type);
  if (ret != SUCCESS) {
    GELOGE(ret, "Get current shape failed");
    return ret;
  }
  return SUCCESS;
}

Status GeExecutor::SetDynamicAippData(uint32_t model_id, void *dynamic_input_addr, uint64_t length,
                                      const std::vector<kAippDynamicBatchPara> &aippBatchPara,
                                      const kAippDynamicPara &aippParms) {
  GELOGI("Enter to SetDynamicAippData.");
  if (dynamic_input_addr == nullptr) {
    GELOGE(ACL_ERROR_GE_DYNAMIC_INPUT_ADDR_INVALID, "Dynamic aipp input addr is nullptr!");
    return ACL_ERROR_GE_DYNAMIC_INPUT_ADDR_INVALID;
  }
  if (aippBatchPara.empty()) {
    GELOGE(ACL_ERROR_GE_AIPP_BATCH_EMPTY, "aippBatchPara is empty.");
    return ACL_ERROR_GE_AIPP_BATCH_EMPTY;
  }
  uint64_t batch_num = aippBatchPara.size();
  uint64_t real_aippParms_size = sizeof(kAippDynamicPara) - sizeof(kAippDynamicBatchPara);
  uint64_t struct_len = batch_num * sizeof(kAippDynamicBatchPara) + real_aippParms_size;
  GELOGI(
      "Get acl input dynamic aipp data, model_id is %u, length is %lu,"
      "batch num is %lu, struct_len is %lu",
      model_id, length, batch_num, struct_len);
  if (struct_len > length) {
    GELOGE(ACL_ERROR_GE_DYNAMIC_INPUT_LENGTH_INVALID,
           "input dynamic aipp param len [%lu] is larger than aipp_data size [%lu]", struct_len, length);
    return ACL_ERROR_GE_DYNAMIC_INPUT_LENGTH_INVALID;
  }
  // Memcpy real kAippDynamicBatchPara from host to device
  rtError_t rt_ret = rtMemcpy(dynamic_input_addr, length, &aippParms, real_aippParms_size, RT_MEMCPY_HOST_TO_DEVICE);
  if (rt_ret != RT_ERROR_NONE) {
    GELOGE(rt_ret, "memcpy real_aippParms_size failed! ret: 0x%X", rt_ret);
    return RT_ERROR_TO_GE_STATUS(rt_ret);
  }
  uint64_t remain_len = length - real_aippParms_size;
  uint8_t *aipp_batch_para_dev = reinterpret_cast<uint8_t *>(dynamic_input_addr) + real_aippParms_size;

  for (uint64_t i = 0; i < batch_num; ++i) {
    rt_ret = rtMemcpy(reinterpret_cast<void *>(aipp_batch_para_dev + i * sizeof(kAippDynamicBatchPara)),
                      (remain_len - i * sizeof(kAippDynamicBatchPara)), &(aippBatchPara[i]),
                      sizeof(kAippDynamicBatchPara), RT_MEMCPY_HOST_TO_DEVICE);
    if (rt_ret != RT_ERROR_NONE) {
      GELOGE(rt_ret, "memcpy kAippDynamicBatchPara input data failed! ret: 0x%X", rt_ret);
      return RT_ERROR_TO_GE_STATUS(rt_ret);
    }
  }
  return SUCCESS;
}

Status GeExecutor::UnloadModel(uint32_t model_id) {
  GELOGD("unload model %u begin.", model_id);
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "GeExecutor has not been initialized!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }
  Status ret = GraphLoader::DestroyAicpuSessionForInfer(model_id);
  if (ret != SUCCESS) {
    GELOGE(ret, "[GraphLoader] DestroyAicpuSessionForInfer failed. model id: %u", model_id);
    return ret;
  }

  std::shared_ptr<hybrid::HybridDavinciModel> hybrid_davinci_model =
      ModelManager::GetInstance()->GetHybridModel(model_id);
  if (hybrid_davinci_model != nullptr) {
    uint64_t session_id = hybrid_davinci_model->GetSessionId();
    VarManagerPool::Instance().RemoveVarManager(session_id);
  } else {
    std::shared_ptr<DavinciModel> davinci_model = ModelManager::GetInstance()->GetModel(model_id);
    if (davinci_model != nullptr) {
      uint64_t session_id = davinci_model->GetSessionId();
      VarManagerPool::Instance().RemoveVarManager(session_id);
    }
  }
  ret = GraphLoader::UnloadModel(model_id);
  if (ret != SUCCESS) {
    GELOGE(ret, "[GraphLoader] DestroyAicpuSessionForInfer failed. model id: %u", model_id);
    return ret;
  }
  return SUCCESS;
}

// Get input and output descriptor
Status GeExecutor::GetModelDescInfo(uint32_t model_id, std::vector<ge::TensorDesc> &input_desc,
                                    std::vector<ge::TensorDesc> &output_desc, bool new_model_desc) {
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "GeExecutor has not been initialized!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  std::vector<InputOutputDescInfo> input_desc_infos;
  std::vector<InputOutputDescInfo> output_desc_infos;
  std::vector<uint32_t> input_formats;
  std::vector<uint32_t> output_formats;

  Status ret = GraphExecutor::GetInputOutputDescInfo(model_id, input_desc_infos, output_desc_infos, input_formats,
                                                     output_formats, new_model_desc);
  if (ret != domi::SUCCESS) {
    GELOGE(ret, "GetInputOutputDescInfo failed. ret = %u", ret);
    return ACL_ERROR_GE_GET_TENSOR_INFO;
  }

  if (input_formats.size() != input_desc_infos.size()) {
    GELOGE(ACL_ERROR_GE_PARAM_INVALID,
           "input_formats size %zu is not equal to input_desc_infos size %zu.",
           input_formats.size(), input_desc_infos.size());
    return ACL_ERROR_GE_PARAM_INVALID;
  }

  if (output_formats.size() != output_desc_infos.size()) {
    GELOGE(ACL_ERROR_GE_PARAM_INVALID, "output_formats size %zu is not equal to output_desc_infos size %zu.",
           output_formats.size(), output_desc_infos.size());
    return ACL_ERROR_GE_PARAM_INVALID;
  }

  // Transfer data to TensorDesc
  GetGeTensorDescFromDomiInfo(input_desc, input_desc_infos, input_formats);
  GetGeTensorDescFromDomiInfo(output_desc, output_desc_infos, output_formats);

  return ge::SUCCESS;
}

///
/// @ingroup ge
/// @brief Get dynamic batch_info
/// @param [in] model_id
/// @param [out] batch_info
/// @param [out] dynamic_type
/// @return execute result
///
Status GeExecutor::GetDynamicBatchInfo(uint32_t model_id, std::vector<std::vector<int64_t>> &batch_info,
                                       int32_t &dynamic_type) {
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "GeExecutor has not been initialized!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  Status ret = GraphExecutor::GetDynamicBatchInfo(model_id, batch_info, dynamic_type);
  if (ret != SUCCESS) {
    GELOGE(ret, "GetDynamicBatchInfo failed.");
    return ret;
  }
  return SUCCESS;
}

///
/// @ingroup ge
/// @brief Get combined dynamic dims info
/// @param [in] model_id
/// @param [out] batch_info
/// @return execute result
///
Status GeExecutor::GetCombinedDynamicDims(uint32_t model_id, vector<vector<int64_t>> &batch_info) {
  GELOGI("Begin to get combined dynamic dims info.");
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "GeExecutor has not been initialized!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  Status ret = GraphExecutor::GetCombinedDynamicDims(model_id, batch_info);
  if (ret != SUCCESS) {
    GELOGE(ret, "GetCombinedDynamicDims failed.");
    return ret;
  }

  GELOGI("Get combined dynamic dims succ.");
  return SUCCESS;
}

///
/// @ingroup ge
/// @brief Get user designeate shape order
/// @param [in] model_id
/// @param [out] user_designate_shape_order
/// @return execute result
///
Status GeExecutor::GetUserDesignateShapeOrder(uint32_t model_id, vector<string> &user_designate_shape_order) {
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "GeExecutor has not been initialized!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  Status ret = GraphExecutor::GetUserDesignateShapeOrder(model_id, user_designate_shape_order);
  if (ret != SUCCESS) {
    GELOGE(ret, "GetUserDesignateShapeOrder failed.");
    return ret;
  }

  return SUCCESS;
}

///
/// @ingroup ge
/// @brief Get AIPP input format
/// @param [in] model_id
/// @param [in] index
/// @param [out] input_format
/// @return execute result
///
Status GeExecutor::GetAIPPInfo(uint32_t model_id, uint32_t index, AippConfigInfo &aipp_info) {
  GELOGI("Begin to GetAIPPInfo.");
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "not inited yet!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }
  Status ret = GraphExecutor::GetAIPPInfo(model_id, index, aipp_info);
  if (ret != SUCCESS) {
    GELOGW("GetAIPPInfo is not success.");
    return ret;
  }
  GELOGI("GetAIPPInfo succ.");
  return SUCCESS;
}

Status GeExecutor::GetAippType(uint32_t model_id, uint32_t index, InputAippType &type, size_t &aipp_index) {
  GELOGI("Begin to get aipp type.");
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "not inited yet!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }
  Status ret = GraphExecutor::GetAippType(model_id, index, type, aipp_index);
  if (ret != SUCCESS) {
    GELOGW("Get aipp type is not success.");
    return ret;
  }
  GELOGI("Get aipp type success.");
  return SUCCESS;
}

Status GeExecutor::GetModelAttr(uint32_t model_id, std::vector<std::string> &dynamic_output_shape_info) {
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "not inited yet!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }
  Status ret = GraphExecutor::GetModelAttr(model_id, dynamic_output_shape_info);
  if (ret != SUCCESS) {
    GELOGE(ret, "Get dynamic batch output shape info failed.");
    return ret;
  }
  return SUCCESS;
}

Status GeExecutor::GetModelDescInfoForZeroCopy(uint32_t model_id, std::vector<ge::TensorDesc> &input_desc,
                                               std::vector<TensorDesc> &output_desc) {
  GELOGI("get model desc info for zero copy begin.");
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "GeExecutor has not been initialized!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  std::vector<InputOutputDescInfo> input_desc_infos;
  std::vector<InputOutputDescInfo> output_desc_infos;
  std::vector<uint32_t> input_formats;
  std::vector<uint32_t> output_formats;

  Status ret = GraphExecutor::GetInputOutputDescInfoForZeroCopy(model_id, input_desc_infos, output_desc_infos,
                                                                input_formats, output_formats);
  if (ret != domi::SUCCESS) {
    GELOGE(ret, "Get DescInfo from zero copy failed. ret = %u", ret);
    return ACL_ERROR_GE_GET_TENSOR_INFO;
  }

  if (input_formats.size() != input_desc_infos.size()) {
    GELOGE(ACL_ERROR_GE_PARAM_INVALID, "input_formats.size() != input_desc_infos.size().");
    return ACL_ERROR_GE_PARAM_INVALID;
  }

  if (output_formats.size() != output_desc_infos.size()) {
    GELOGE(ACL_ERROR_GE_PARAM_INVALID, "output_formats.size() != output_desc_infos.size().");
    return ACL_ERROR_GE_PARAM_INVALID;
  }

  GetGeTensorDescFromDomiInfo(input_desc, input_desc_infos, input_formats);
  GetGeTensorDescFromDomiInfo(output_desc, output_desc_infos, output_formats);

  GELOGI("get model desc info from zero copy end.");
  return ge::SUCCESS;
}

Status GeExecutor::CommandHandle(const Command &command) {
  Status ret = GraphLoader::CommandHandle(command);
  if (ret != SUCCESS) {
    GELOGE(ACL_ERROR_GE_COMMAND_HANDLE, "CommandHandle: Command Handle failed.");
    return ACL_ERROR_GE_COMMAND_HANDLE;
  }
  return SUCCESS;
}

Status GeExecutor::GetMaxUsedMemory(uint32_t model_id, uint32_t &max_size) {
  GELOGI("Get max used memory begin.");
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "GeExecutor has not been initialized!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  uint64_t max_mem_size = 0;
  Status ret = GraphLoader::GetMaxUsedMemory(model_id, max_mem_size);
  max_size = static_cast<uint32_t>(max_mem_size);
  return ret;
}

/**
 * @ingroup ge
 * @brief Load data from model file to memory
 * @param [in] const std::string &path: Offline model file path
 * @param [out] domi::ModelData &model_data: Offline model memory data
 * @return SUCCESS handle successfully / others handle failed
 */
Status GeExecutor::LoadDataFromFile(const std::string &path, ModelData &model_data) {
  GELOGI("Load data from file begin.");
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "GeExecutor has not been initialized!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  string filePath = RealPath(path.c_str());
  if (filePath.empty()) {
    GELOGE(ACL_ERROR_GE_EXEC_MODEL_PATH_INVALID,
           "File path is invalid. please check your text file '%s'.", path.c_str());
    return ACL_ERROR_GE_EXEC_MODEL_PATH_INVALID;
  }
  GELOGI("load modelData from file: %s.", path.c_str());
  std::string key_path;
  int32_t priority = 0;
  Status ret = GraphLoader::LoadDataFromFile(path, key_path, priority, model_data);
  if (ret != SUCCESS) {
    if (model_data.model_data != nullptr) {
      delete[] static_cast<char *>(model_data.model_data);
      model_data.model_data = nullptr;
    }
  }
  return ret;
}

/**
* @ingroup ge
* @brief Load model from offline model memory data
* @param [in] domi::ModelData &model_data: Offline model data
              void *dev_ptr: Input/Output memory start address
              size_t memsize: Input/Output memory length
              void *weight_ptr: Weight memory start address
              size_t weightsize: Weight memory length
* @param [out] uint32_t &model_id: identification after model loading
* @return SUCCESS handle successfully / others handle failed
*/
Status GeExecutor::LoadModelFromData(uint32_t &model_id, const ModelData &model_data, void *dev_ptr, size_t mem_size,
                                     void *weight_ptr, size_t weight_size) {
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "not inited yet!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  return GraphLoader::LoadModelFromData(model_id, model_data, dev_ptr, mem_size, weight_ptr, weight_size);
}

/**
 * @ingroup ge
 * @brief Load task list from ModelData with queue.
 * @param [out] model_id: model id allocate from manager.
 * @param [in] ge_model_data: Model data load from offline model.
 * @param [in] input_queue_ids: input queue ids create from user.
 * @param [in] output_queue_ids: input queue ids create from user.
 * @return: 0 for success / others for fail
 */
Status GeExecutor::LoadModelWithQ(uint32_t &model_id, const ModelData &model_data,
                                  const std::vector<uint32_t> &input_queue_ids,
                                  const std::vector<uint32_t> &output_queue_ids) {
  GELOGI("Load model with queue begin.");
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "GeExecutor has not been initialized!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }
  return GraphLoader::LoadModelWithQ(model_id, model_data, input_queue_ids, output_queue_ids);
}

/**
* @ingroup ge
* @brief Synchronous execution of offline model(Do not create thread)
* @param [in] uint32_t model_id: Model ID to execute
              void* stream: stream to execute
              const domi::InputData *input_data: Model input data
              bool async_mode: is asynchronize mode.
* @param [out] domi::OutputData *output_data: Model output data
* @return SUCCESS handle successfully / others handle failed
*/
Status GeExecutor::ExecModel(uint32_t model_id, void *stream, const ge::RunModelData &run_input_data,
                             ge::RunModelData &run_output_data, bool async_mode) {
  std::vector<GeTensorDesc> input_desc = {};
  std::vector<GeTensorDesc> output_desc = {};
  return ExecModel(model_id, stream, run_input_data, input_desc, run_output_data, output_desc, async_mode);
}

/**
* @ingroup ge
* @brief Synchronous execution of offline model(Do not create thread)
* @param [in] uint32_t model_id: Model ID to execute
              void* stream: stream to execute
              const domi::InputData *input_data: Model input data
              const std::vector<GeTensorDesc> &input_desc: Description of model input data
              bool async_mode: is asynchronize mode
* @param [out] domi::OutputData *output_data: Model output data
* @param [out] std::vector<GeTensorDesc> &output_desc: Description of model output data
* @return SUCCESS handle successfully / others handle failed
*/
Status GeExecutor::ExecModel(uint32_t model_id, void *stream, const ge::RunModelData &run_input_data,
                             const std::vector<GeTensorDesc> &input_desc, ge::RunModelData &run_output_data,
                             std::vector<GeTensorDesc> &output_desc, bool async_mode) {
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "GeExecutor has not been initialized!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  InputData input_data;
  OutputData output_data;
  GetDomiInputData(run_input_data, input_data);
  GetDomiOutputData(run_output_data, output_data);

  if ((run_input_data.dynamic_batch_size != 0) || (run_input_data.dynamic_image_width != 0) ||
      (run_input_data.dynamic_image_height != 0) || (run_input_data.dynamic_dims.size() != 0)) {
    std::vector<std::vector<int64_t>> batch_info;
    int32_t dynamic_type = static_cast<int32_t>(FIXED);
    Status ret = GraphExecutor::GetDynamicBatchInfo(model_id, batch_info, dynamic_type);
    if (ret != SUCCESS) {
      GELOGE(ret, "Get dynamic input info failed.");
      return ret;
    }
    if (!batch_info.empty()) {
      SetDynamicInputDataFlag(run_input_data, batch_info, input_data);
    }
  }

  return GraphLoader::ExecuteModel(model_id, stream, async_mode, input_data, input_desc, output_data, output_desc);
}

/**
* @ingroup ge
* @brief Get weight memory size from model file
* @param [in] const std::string &path: Offline model file path
* @param [out] size_t &mem_size Execution memory size
               size_t &weight_size Weight memory space size
* @return SUCCESS handle successfully / others handle failed
*/
Status GeExecutor::GetMemAndWeightSize(const std::string &path, size_t &mem_size, size_t &weight_size) {
  GELOGI("Get memory and weight size from file begin.");
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "GeExecutor has not been initialized!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  ModelData model;
  std::string key;
  Status ret = ge::GraphLoader::LoadDataFromFile(path, key, 0, model);
  if ((ret != SUCCESS) || (model.model_data == nullptr)) {
    GELOGE(ret, "Load data from file failed. ret = %d", ret);
    return ret;
  }

  ret = ge::ModelManager::GetModelMemAndWeightSize(model, mem_size, weight_size);

  delete[] static_cast<char *>(model.model_data);
  model.model_data = nullptr;

  return ret;
}

/**
* @ingroup ge
* @brief Get weight memory size from model file
* @param [in] const void *model_data Offline model buffer
              size_t model_size Offline model buffer length
* @param [out] size_t &mem_size Execution memory size
               size_t &weight_size Weight memory space size
* @return SUCCESS handle successfully / others handle failed
*/
Status GeExecutor::GetMemAndWeightSize(const void *model_data, size_t model_size, size_t &mem_size,
                                       size_t &weight_size) {
  GELOGI("Get memory and weight size from data begin.");
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "GeExecutor has not been initialized!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  if (model_data == nullptr) {
    GELOGE(ACL_ERROR_GE_EXEC_MODEL_ADDR_INVALID, "invalid model data!");
    return ACL_ERROR_GE_EXEC_MODEL_ADDR_INVALID;
  }

  ModelData model;
  model.model_data = const_cast<void *>(model_data);
  model.model_len = static_cast<uint32_t>(model_size);

  return ge::ModelManager::GetModelMemAndWeightSize(model, mem_size, weight_size);
}

Status GeExecutor::LoadSingleOp(const std::string &model_name, const ge::ModelData &modelData, void *stream,
                                SingleOp **single_op) {
  return SingleOpManager::GetInstance().GetOpFromModel(model_name, modelData, stream, single_op);
}

Status GeExecutor::LoadDynamicSingleOp(const std::string &model_name, const ge::ModelData &modelData, void *stream,
                                       DynamicSingleOp **single_op) {
  return SingleOpManager::GetInstance().GetDynamicOpFromModel(model_name, modelData, stream, single_op);
}

Status GeExecutor::ExecuteAsync(SingleOp *executor, const std::vector<DataBuffer> &inputs,
                                std::vector<DataBuffer> &outputs) {
  if (executor == nullptr) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "param is NULL");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  return executor->ExecuteAsync(inputs, outputs);
}

ge::Status GeExecutor::ExecuteAsync(DynamicSingleOp *executor, const vector<GeTensorDesc> &input_desc,
                                    const vector<DataBuffer> &inputs, vector<GeTensorDesc> &output_desc,
                                    vector<DataBuffer> &outputs) {
  GE_CHECK_NOTNULL(executor);
  return executor->ExecuteAsync(input_desc, inputs, output_desc, outputs);
}

Status GeExecutor::ReleaseSingleOpResource(void *stream) {
  ModelManager::GetInstance()->ClearAicpuSo();
  return SingleOpManager::GetInstance().ReleaseResource(stream);
}

Status GeExecutor::GetDeviceIdByModelId(uint32_t model_id, uint32_t &device_id) {
  auto model_manager = ModelManager::GetInstance();
  GE_CHECK_NOTNULL(model_manager);
  auto davinci_model = model_manager->GetModel(model_id);
  if (davinci_model == nullptr) {
    GELOGE(ACL_ERROR_GE_EXEC_MODEL_ID_INVALID, "Model id: %d is invaild or model is not loaded.", model_id);
    return ACL_ERROR_GE_EXEC_MODEL_ID_INVALID;
  }

  device_id = davinci_model->GetDeviceId();
  return SUCCESS;
}

Status GeExecutor::GetBatchInfoSize(uint32_t model_id, size_t &shape_count) {
  std::vector<std::vector<int64_t>> batch_info;
  int32_t dynamic_type = static_cast<int32_t>(FIXED);
  Status ret = GetDynamicBatchInfo(model_id, batch_info, dynamic_type);
  if (ret != SUCCESS) {
    GELOGE(ret, "Calc batch info size failed. ret = %d", ret);
    return ret;
  }
  if (batch_info.empty()) {
    shape_count = kStaticBatchInfoSize;
  } else {
    shape_count = batch_info.size();
  }
  return SUCCESS;
}

Status GeExecutor::GetOrigInputInfo(uint32_t model_id, uint32_t index, OriginInputInfo &orig_input_info) {
  GELOGI("Begin to GetOrigInputInfo.");
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "not inited yet!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  Status ret = GraphExecutor::GetOrigInputInfo(model_id, index, orig_input_info);
  if (ret != SUCCESS) {
    GELOGE(ret, "GetOrigInputInfo failed.");
    return ret;
  }

  GELOGI("GetOrigInputInfo succ.");
  return SUCCESS;
}

Status GeExecutor::GetAllAippInputOutputDims(uint32_t model_id, uint32_t index,
                                             std::vector<InputOutputDims> &input_dims,
                                             std::vector<InputOutputDims> &output_dims) {
  GELOGI("Begin to GetAllAippInputOutputDims.");
  if (!isInit_) {
    GELOGE(ACL_ERROR_GE_EXEC_NOT_INIT, "not inited yet!");
    return ACL_ERROR_GE_EXEC_NOT_INIT;
  }

  Status ret = GraphExecutor::GetAllAippInputOutputDims(model_id, index, input_dims, output_dims);
  if (ret != SUCCESS) {
    GELOGE(ret, "GetAllAippInputOutputDims failed.");
    return ret;
  }

  GELOGI("GetAllAippInputOutputDims succ.");
  return SUCCESS;
}

Status GeExecutor::GetOpDescInfo(uint32_t device_id, uint32_t stream_id, uint32_t task_id, OpDescInfo &op_desc_info) {
  GELOGI("Begin to GetOpDescInfo.");
  Status ret = GraphExecutor::GetOpDescInfo(device_id, stream_id, task_id, op_desc_info);
  if (ret != SUCCESS) {
    GELOGE(ret, "GetOpDescInfo failed.");
    return ret;
  }
  GELOGI("GetOpDescInfo succ.");
  return SUCCESS;
}

Status GeExecutor::SetDump(const DumpConfig &dump_config) {
  GELOGI("Start to set dump config");
  auto ret = DumpManager::GetInstance().SetDumpConf(dump_config);
  if (ret != SUCCESS) {
    GELOGE(ret, "Set dump conf failed");
    return ret;
  }
  GELOGI("Set dump config successfully");
  return SUCCESS;
}
}  // namespace ge