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trans_var_data_utils.h 1.5 kB

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  1. /**
  2. * Copyright 2019-2020 Huawei Technologies Co., Ltd
  3. *
  4. * Licensed under the Apache License, Version 2.0 (the "License");
  5. * you may not use this file except in compliance with the License.
  6. * You may obtain a copy of the License at
  7. *
  8. * http://www.apache.org/licenses/LICENSE-2.0
  9. *
  10. * Unless required by applicable law or agreed to in writing, software
  11. * distributed under the License is distributed on an "AS IS" BASIS,
  12. * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. * See the License for the specific language governing permissions and
  14. * limitations under the License.
  15. */
  16. #ifndef GE_GRAPH_MANAGER_TRANS_VAR_DATA_UTILS_H_
  17. #define GE_GRAPH_MANAGER_TRANS_VAR_DATA_UTILS_H_
  18. #include <string>
  19. #include "framework/common/ge_inner_error_codes.h"
  20. #include "framework/common/ge_types.h"
  21. #include "graph/utils/tensor_utils.h"
  22. #include "graph/node.h"
  23. #include "runtime/context.h"
  24. namespace ge {
  25. class TransVarDataUtils {
  26. public:
  27. static ge::Status TransAllVarData(const std::vector<NodePtr> &variable_nodes,
  28. uint64_t session_id,
  29. rtContext_t context,
  30. uint32_t graph_id,
  31. uint32_t thread_num = 16);
  32. static ge::Status CopyVarData(const ComputeGraphPtr &compute_graph, uint64_t session_id, uint32_t device_id);
  33. };
  34. } // namespace ge
  35. #endif // GE_GRAPH_MANAGER_TRANS_VAR_DATA_UTILS_H_

图引擎模块(GE)是MindSpore的一个子模块,其代码由C++实现,位于前端模块ME和底层硬件之间,起到承接作用。图引擎模块以ME下发的图作为输入,然后进行一系列的深度图优化操作,最后输出一张可以在底层硬件上高效运行的图。GE针对昇腾AI处理器的硬件结构特点,做了特定的优化工作,以此来充分发挥出昇腾AI处理器的强大算力。在进行模型训练/推理时,GE会被自动调用而用户并不感知。GE主要由GE API和GE Core两部分组成,详细的架构图如下所示