You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

aicpu_constant_folding_pass.h 3.0 kB

5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
5 years ago
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869
  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_AICPU_CONSTANT_FOLDING_PASS_H_
  17. #define GE_GRAPH_PASSES_AICPU_CONSTANT_FOLDING_PASS_H_
  18. #include <string>
  19. #include <vector>
  20. #include "common/opskernel/ops_kernel_info_store.h"
  21. #include "graph/passes/folding_pass.h"
  22. namespace ge {
  23. class AicpuConstantFoldingPass : public FoldingPass {
  24. public:
  25. Status Run(ge::NodePtr &node) override;
  26. private:
  27. enum AddrType { kData = 0, kSummary = 1, kTypeEnd };
  28. struct AddrAndType {
  29. uint64_t input_addr;
  30. AddrType attr_type;
  31. } __attribute__((packed));
  32. struct DataPtrInfo {
  33. uint64_t release_flag;
  34. uint64_t data_size;
  35. uint64_t src_ptr;
  36. uint64_t dst_ptr;
  37. } __attribute__((packed));
  38. bool CheckInput(const ge::NodePtr &node, vector<ConstGeTensorPtr> &weight_vec);
  39. bool IsSkipFold(const ge::NodePtr &node);
  40. Status GetInputAddrs(const vector<ConstGeTensorPtr> &weight_vec, vector<AddrAndType> &input_addrs);
  41. Status GetOutputAddrs(const OpDescPtr &node_desc, vector<uint64_t> &output_addrs);
  42. Status GenerateTaskForLaunch(STR_FWK_OP_KERNEL &aicpu_task, void *&task_buf);
  43. Status GenerateDataPtrInfo(const vector<uint64_t> &output_addrs, vector<DataPtrInfo> &data_vec,
  44. vector<uint64_t> &data_infos);
  45. Status GenerateGeTensor(const OpDescPtr &node_desc, const vector<DataPtrInfo> &data_vec,
  46. vector<GeTensorPtr> &outputs);
  47. Status UpdateWorkSpaceAddr(string &task_info, STR_FWK_OP_KERNEL &task);
  48. Status UpdateInputAndOutputAddr(const vector<uint64_t> &io_addrs, STR_FWK_OP_KERNEL &task);
  49. Status UpdateSingleOpAddr(string &task_info, const vector<AddrAndType> &input_addrs,
  50. const vector<uint64_t> &outputs_addr_vec, STR_FWK_OP_KERNEL &task);
  51. Status UpdateMemCopyAddr(string &task_info, const vector<uint64_t> &data_infos, vector<uint64_t> &internal_addrs,
  52. STR_FWK_OP_KERNEL &task);
  53. Status LaunchSingleOpRunTask(const NodePtr &node, const vector<AddrAndType> &input_addrs,
  54. const vector<uint64_t> &output_addrs);
  55. Status LaunchMemCopyTask(const vector<uint64_t> &data_infos);
  56. void ReleaseMemory(const vector<AddrAndType> &input_addrs, const vector<uint64_t> &output_addrs,
  57. const vector<DataPtrInfo> &data_vec);
  58. Status KernelLaunch(void *aicpu_task);
  59. };
  60. } // namespace ge
  61. #endif // GE_GRAPH_PASSES_AICPU_CONSTANT_FOLDING_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