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partitioned_call_label_maker.h 3.5 kB

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  1. /**
  2. * Copyright 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_PASSES_PARTITIONED_CALL_OP_LABEL_PASS_H_
  17. #define GE_GRAPH_PASSES_PARTITIONED_CALL_OP_LABEL_PASS_H_
  18. #include "graph/node.h"
  19. #include "graph/label/label_maker.h"
  20. /*******************************************************************************
  21. +---------------+
  22. | Node |
  23. +---------------+
  24. | Node |
  25. +---------------+
  26. |PartitionedCall|
  27. +---------------+
  28. +---------------+
  29. | Node | +---------------+
  30. +---------------+ | StreamActive |
  31. | Node | +---------------+
  32. +---------------+ | f |
  33. | Node | +---------------+
  34. +---------------+ | u |
  35. |PartitionedCall| +---------------+
  36. +---------------+ | n |
  37. | Node | ====> +---------------+
  38. +---------------+ | c |
  39. | Node | +---------------+
  40. +---------------+
  41. | Node | +---------------+
  42. +---------------+ | Node |
  43. +---------------+
  44. | Node |
  45. +---------------+ +---------------+
  46. | f | | Node |
  47. +---------------+ +---------------+
  48. | u |
  49. +---------------+
  50. | n |
  51. +---------------+
  52. | c |
  53. +---------------+
  54. *******************************************************************************/
  55. namespace ge {
  56. class PartitionedCallLabelMaker : public LabelMaker {
  57. public:
  58. PartitionedCallLabelMaker(const ComputeGraphPtr &graph, const NodePtr &owner) : LabelMaker(graph, owner) {}
  59. ~PartitionedCallLabelMaker() override {}
  60. virtual Status Run(uint32_t &label_index);
  61. };
  62. } // namespace ge
  63. #endif // GE_GRAPH_PASSES_PARTITIONED_CALL_OP_LABEL_PASS_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