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memory_assigner.cc 2.8 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. #include "framework/memory/memory_assigner.h"
  17. #include <memory>
  18. #include "framework/common/debug/ge_log.h"
  19. #include "graph/build/memory/graph_mem_assigner.h"
  20. namespace ge {
  21. Status MemoryAssigner::AssignMemory(bool is_loop_graph, map<uint64_t, size_t> &mem_offset, size_t &zero_copy_mem_size) {
  22. GraphMemoryAssigner graph_mem_assigner(compute_graph_);
  23. if (graph_mem_assigner.AssignMemory() != ge::SUCCESS) {
  24. GELOGE(ge::FAILED, "[Assign][Memory] failed, graph:%s", compute_graph_->GetName().c_str());
  25. return ge::FAILED;
  26. }
  27. // Reassign memory for special nodes
  28. Status ret = graph_mem_assigner.ReAssignMemory(is_loop_graph, mem_offset);
  29. if (ret != ge::SUCCESS) {
  30. GELOGE(ge::FAILED, "[ReAssign][Memory] failed, graph:%s", compute_graph_->GetName().c_str());
  31. return ret;
  32. }
  33. // Assign memory (block and offset) for zero copy nodes
  34. if (graph_mem_assigner.AssignZeroCopyMemory(mem_offset, zero_copy_mem_size) != ge::SUCCESS) {
  35. GELOGE(ge::FAILED, "[Assign][ZeroCopyMemory] failed, graph:%s", compute_graph_->GetName().c_str());
  36. return ge::FAILED;
  37. }
  38. if (graph_mem_assigner.AssignMemory2HasRefAttrNode() != ge::SUCCESS) {
  39. GELOGE(ge::FAILED, "[Assign][Memory] to node which has ref attr failed! graph:%s",
  40. compute_graph_->GetName().c_str());
  41. return ge::FAILED;
  42. }
  43. // Assign memory for reference
  44. if (graph_mem_assigner.AssignReferenceMemory() != ge::SUCCESS) {
  45. GELOGE(ge::FAILED, "[Assign][ReferenceMemory] failed! graph:%s", compute_graph_->GetName().c_str());
  46. return ge::FAILED;
  47. }
  48. // Must do variable attr assign after all the memory assigned
  49. if (graph_mem_assigner.AssignVarAttr2Nodes() != SUCCESS) {
  50. GELOGE(FAILED, "[Variable][Memory] assigner failed, graph:%s", compute_graph_->GetName().c_str());
  51. return FAILED;
  52. }
  53. if (graph_mem_assigner.SetInputOffset() != ge::SUCCESS) {
  54. GELOGE(ge::FAILED, "[Set][InputOffset] Fail! graph:%s", compute_graph_->GetName().c_str());
  55. return ge::FAILED;
  56. }
  57. if (graph_mem_assigner.CheckOffset() != SUCCESS) {
  58. GELOGE(FAILED, "[Check][Offset] Fail! graph:%s", compute_graph_->GetName().c_str());
  59. return FAILED;
  60. }
  61. graph_mem_assigner.MarkDistanceAttr();
  62. return SUCCESS;
  63. }
  64. } // namespace ge

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