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node_state.h 3.1 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_HYBRID_EXECUTOR_NODE_STATE_H_
  17. #define GE_HYBRID_EXECUTOR_NODE_STATE_H_
  18. #include <condition_variable>
  19. #include <future>
  20. #include <mutex>
  21. #include "external/ge/ge_api_error_codes.h"
  22. #include "hybrid/model/node_item.h"
  23. #include "node_done_manager.h"
  24. namespace ge {
  25. namespace hybrid {
  26. class NodeTask;
  27. class GraphExecutionContext;
  28. class SubgraphContext;
  29. class ShapeFuture {
  30. public:
  31. ShapeFuture(NodePtr src_node, uint32_t src_index, SubgraphContext *subgraph_context);
  32. ~ShapeFuture() = default;
  33. Status Get(GeShape &ori_shape, GeShape &shape);
  34. private:
  35. NodePtr src_node_;
  36. uint32_t src_index_;
  37. SubgraphContext *subgraph_context_;
  38. };
  39. struct ShapeInferenceState {
  40. explicit ShapeInferenceState(const NodeItem &node_item);
  41. void UpdateInputShape(uint32_t idx, const GeShape &ori_shape, const GeShape &shape);
  42. void UpdateInputShapeFuture(uint32_t idx, ShapeFuture &&future);
  43. Status AwaitShapesReady(const GraphExecutionContext &context);
  44. const NodeItem &node_item;
  45. private:
  46. std::vector<std::pair<uint32_t, ShapeFuture>> shape_futures;
  47. int num_pending_shapes_ = 0;
  48. std::condition_variable ready_cv_;
  49. std::mutex mu_;
  50. };
  51. // saving sth. dynamic during execution
  52. struct NodeState {
  53. public:
  54. NodeState(const NodeItem &node_item, SubgraphContext *subgraph_context);
  55. ~NodeState() = default;
  56. OpDesc *GetOpDesc() const { return op_desc_.get(); }
  57. inline const NodeItem *GetNodeItem() const { return node_item_; }
  58. inline const string &GetName() const { return node_item_->NodeName(); }
  59. inline const string &GetType() const { return node_item_->NodeType(); }
  60. ShapeInferenceState &GetShapeInferenceState() { return shape_inference_state_; }
  61. const shared_ptr<NodeTask> &GetKernelTask() const { return kernel_task_; }
  62. void SetKernelTask(const shared_ptr<NodeTask> &kernel_task) { kernel_task_ = kernel_task; }
  63. Status WaitForPrepareDone();
  64. void SetPrepareFuture(std::future<Status> &&prepare_future) { this->prepare_future_ = std::move(prepare_future); }
  65. Status AwaitInputTensors(GraphExecutionContext &context) const;
  66. private:
  67. const NodeItem *node_item_ = nullptr;
  68. std::shared_ptr<NodeTask> kernel_task_ = nullptr;
  69. std::future<Status> prepare_future_;
  70. OpDescPtr op_desc_;
  71. ShapeInferenceState shape_inference_state_;
  72. SubgraphContext *subgraph_context_;
  73. std::mutex mu_;
  74. };
  75. using NodeStatePtr = std::shared_ptr<NodeState>;
  76. } // namespace hybrid
  77. } // namespace ge
  78. #endif // GE_HYBRID_EXECUTOR_NODE_STATE_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