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global_step_insert_pass.cc 5.3 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 "graph/passes/global_step_insert_pass.h"
  17. #include <memory>
  18. #include <string>
  19. #include <vector>
  20. #include "framework/common/debug/ge_log.h"
  21. #include "framework/common/util.h"
  22. #include "graph/debug/ge_attr_define.h"
  23. #include "common/ge/ge_util.h"
  24. #include "graph/manager/graph_var_manager.h"
  25. #include "graph/passes/pass_utils.h"
  26. #include "graph/ge_context.h"
  27. #include "graph/tuning_utils.h"
  28. namespace ge {
  29. NodePtr GlobalStepInsertPass::InsertOp(ComputeGraphPtr &compute_graph,
  30. const string &node_type,
  31. const string &node_name,
  32. const std::vector<GeTensorDesc> &input_list,
  33. const std::vector<GeTensorDesc> &output_list) {
  34. OpDescPtr op_desc = MakeShared<OpDesc>(node_name, node_type);
  35. GE_IF_BOOL_EXEC(op_desc == nullptr,
  36. REPORT_CALL_ERROR("E19999", "New OpDesc failed");
  37. GELOGE(FAILED,"Make OpDesc failed");
  38. return nullptr);
  39. for (auto &input_desc : input_list) {
  40. graphStatus graph_status = op_desc->AddInputDesc(input_desc);
  41. if (graph_status != GRAPH_SUCCESS) {
  42. REPORT_CALL_ERROR("E19999", "Add input desc to op:%s(%s) failed",
  43. op_desc->GetName().c_str(), op_desc->GetType().c_str());
  44. GELOGE(FAILED, "Add node:%s intput desc failed, error=%u.", node_name.c_str(), graph_status);
  45. return nullptr;
  46. }
  47. }
  48. for (auto &output_desc : output_list) {
  49. graphStatus graph_status = op_desc->AddOutputDesc(output_desc);
  50. if (graph_status != GRAPH_SUCCESS) {
  51. REPORT_CALL_ERROR("E19999", "Add output desc to op:%s(%s) failed",
  52. op_desc->GetName().c_str(), op_desc->GetType().c_str());
  53. GELOGE(FAILED, "Add node:%s output desc failed, error=%u.", node_name.c_str(), graph_status);
  54. return nullptr;
  55. }
  56. }
  57. GE_IF_BOOL_EXEC(compute_graph == nullptr, GELOGE(FAILED,"compute_graph is nullptr"); return nullptr);
  58. NodePtr node = compute_graph->AddNode(op_desc);
  59. GE_IF_BOOL_EXEC(node == nullptr,
  60. REPORT_CALL_ERROR("E19999", "Add node:%s(%s) to graph:%s failed",
  61. op_desc->GetName().c_str(), op_desc->GetType().c_str(), compute_graph->GetName().c_str());
  62. GELOGE(FAILED, "add node failed, name:%s, type:%s.", node_name.c_str(), node_type.c_str());
  63. return nullptr);
  64. GELOGI("Insert op success, name:%s, type:%s.", node_name.c_str(), node_type.c_str());
  65. return node;
  66. }
  67. Status GlobalStepInsertPass::Run(ComputeGraphPtr compute_graph) {
  68. std::string build_mode;
  69. if (ge::GetContext().GetOption(ge::BUILD_MODE, build_mode) == GRAPH_SUCCESS && build_mode == BUILD_MODE_TUNING) {
  70. GELOGI("compute_graph [%u] [%s] skip insert global step", compute_graph->GetGraphID(),
  71. compute_graph->GetName().c_str());
  72. return SUCCESS;
  73. }
  74. NodePtr output_node = compute_graph->FindFirstNodeMatchType(NETOUTPUT);
  75. if (output_node == nullptr) {
  76. GELOGD("Node type %s can't be found in graph %u", NETOUTPUT, compute_graph->GetGraphID());
  77. return SUCCESS;
  78. }
  79. if (compute_graph->GetParentGraph() != nullptr) {
  80. GELOGD("Subgraph %s no need global step variable.", compute_graph->GetName().c_str());
  81. return SUCCESS;
  82. }
  83. NodePtr exist_node = compute_graph->FindNode(NODE_NAME_GLOBAL_STEP);
  84. if (exist_node != nullptr) {
  85. GELOGD("Node %s already exist, no need add.", NODE_NAME_GLOBAL_STEP.c_str());
  86. return SUCCESS;
  87. }
  88. // set global step tensor desc
  89. GeTensorDesc tensor_desc(GeShape({1}), FORMAT_ND, DT_UINT64);
  90. std::vector<GeTensorDesc> input_desc_list = {};
  91. std::vector<GeTensorDesc> output_desc_list = {tensor_desc};
  92. NodePtr global_step = InsertOp(compute_graph, VARIABLE, NODE_NAME_GLOBAL_STEP,
  93. input_desc_list, output_desc_list);
  94. if (global_step == nullptr) {
  95. GELOGE(FAILED, "Add global_step node failed, global_step is null.");
  96. return FAILED;
  97. }
  98. // add ctrl edges
  99. graphStatus add_ret = GraphUtils::AddEdge(global_step->GetOutControlAnchor(), output_node->GetInControlAnchor());
  100. if (add_ret != GRAPH_SUCCESS) {
  101. REPORT_CALL_ERROR("E19999", "Add control edge between op:%s(%s) and op:%s(%s) failed",
  102. global_step->GetName().c_str(), global_step->GetType().c_str(),
  103. output_node->GetName().c_str(), output_node->GetType().c_str());
  104. GELOGE(FAILED, "Add global_step to netoutput edge failed, add_ret=%u.", add_ret);
  105. return FAILED;
  106. }
  107. GELOGD("Add global_step to netoutput edge in graph %u success", compute_graph->GetGraphID());
  108. return SUCCESS;
  109. }
  110. } // 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