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rts_node_task.h 2.7 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_NODE_EXECUTOR_RTS_RTS_NODE_TASK_H_
  17. #define GE_HYBRID_NODE_EXECUTOR_RTS_RTS_NODE_TASK_H_
  18. #include "hybrid/node_executor/node_executor.h"
  19. #include "proto/task.pb.h"
  20. namespace ge {
  21. namespace hybrid {
  22. class RtsNodeTask : public NodeTask {
  23. public:
  24. Status Init(TaskContext &task_context) override {
  25. return SUCCESS;
  26. }
  27. virtual Status Init(const HybridModel &model, const NodePtr &node) {
  28. GELOGD("[%s] Done initialization successfully.", node->GetName().c_str());
  29. return SUCCESS;
  30. }
  31. Status UpdateArgs(TaskContext &task_context) override {
  32. GELOGD("[%s] Done update args successfully.", task_context.GetNodeName());
  33. return SUCCESS;
  34. }
  35. static Status GetScalarIndexValue(TaskContext &task_context, uint32_t index, int64_t &value);
  36. };
  37. class StreamActiveNodeTask : public RtsNodeTask {
  38. public:
  39. Status ExecuteAsync(TaskContext &task_context, std::function<void()> done_callback) override;
  40. };
  41. class StreamSwitchNodeTask : public RtsNodeTask {
  42. public:
  43. Status Init(const HybridModel &model, const NodePtr &node) override;
  44. Status ExecuteAsync(TaskContext &task_context, std::function<void()> done_callback) override;
  45. private:
  46. std::function<bool(int64_t, int64_t)> comp_func_{nullptr};
  47. };
  48. class StreamMergeNodeTask : public RtsNodeTask {
  49. public:
  50. Status ExecuteAsync(TaskContext &task_context, std::function<void()> done_callback) override;
  51. };
  52. class PassThroughNodeTask : public RtsNodeTask {
  53. public:
  54. Status ExecuteAsync(TaskContext &task_context, std::function<void()> done_callback) override;
  55. };
  56. class LabelSetNodeTask : public RtsNodeTask {
  57. public:
  58. Status ExecuteAsync(TaskContext &task_context, std::function<void()> done_callback) override;
  59. };
  60. class LabelGotoNodeTask : public RtsNodeTask {
  61. public:
  62. Status ExecuteAsync(TaskContext &task_context, std::function<void()> done_callback) override;
  63. };
  64. class LabelSwitchNodeTask : public RtsNodeTask {
  65. public:
  66. Status ExecuteAsync(TaskContext &task_context, std::function<void()> done_callback) override;
  67. };
  68. } // namespace hybrid
  69. } // namespace ge
  70. #endif // GE_HYBRID_NODE_EXECUTOR_RTS_RTS_NODE_TASK_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