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node_done_manager.cc 2.9 kB

4 years ago
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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. #include "hybrid/executor/node_done_manager.h"
  17. #include <chrono>
  18. #include "framework/common/debug/ge_log.h"
  19. namespace ge {
  20. namespace hybrid {
  21. namespace {
  22. constexpr int kDefaultWaitTimeoutInSec = 60 * 10;
  23. }
  24. bool NodeDoneManager::Cond::Await() {
  25. std::unique_lock<std::mutex> lk(cond_mu_);
  26. if (!cv_.wait_for(lk,
  27. std::chrono::seconds(kDefaultWaitTimeoutInSec),
  28. [&]() { return is_released_ || is_cancelled_; })) {
  29. GELOGE(INTERNAL_ERROR, "Wait timed out.");
  30. return false;
  31. }
  32. return is_released_;
  33. }
  34. void NodeDoneManager::Cond::Release() {
  35. std::unique_lock<std::mutex> lk(cond_mu_);
  36. is_released_ = true;
  37. cv_.notify_all();
  38. }
  39. void NodeDoneManager::Cond::Cancel() {
  40. std::unique_lock<std::mutex> lk(cond_mu_);
  41. is_cancelled_ = true;
  42. cv_.notify_all();
  43. }
  44. bool NodeDoneManager::Cond::IsRelease() {
  45. std::unique_lock<std::mutex> lk(cond_mu_);
  46. return is_released_;
  47. }
  48. NodeDoneManager::Cond *NodeDoneManager::GetSubject(const NodePtr &node) {
  49. std::lock_guard<std::mutex> lk(mu_);
  50. if (destroyed_) {
  51. GELOGD("Already destroyed.");
  52. return nullptr;
  53. }
  54. auto it = subjects_.find(node);
  55. if (it == subjects_.end()) {
  56. return &subjects_[node];
  57. }
  58. return &it->second;
  59. }
  60. void NodeDoneManager::Destroy() {
  61. GELOGD("Start to reset NodeDoneManager.");
  62. std::lock_guard<std::mutex> lk(mu_);
  63. GELOGD("Cond size = %zu.", subjects_.size());
  64. for (auto &sub : subjects_) {
  65. if (!sub.second.IsRelease()) {
  66. sub.second.Cancel();
  67. GELOGD("[%s] Node canceled.", sub.first->GetName().c_str());
  68. }
  69. }
  70. subjects_.clear();
  71. destroyed_ = true;
  72. GELOGD("Done resetting NodeDoneManager successfully.");
  73. }
  74. void NodeDoneManager::NodeDone(const NodePtr &node) {
  75. auto sub = GetSubject(node);
  76. if (sub != nullptr) {
  77. sub->Release();
  78. GELOGD("[%s] Node released.", node->GetName().c_str());
  79. }
  80. }
  81. bool NodeDoneManager::Await(const NodePtr &node) {
  82. auto sub = GetSubject(node);
  83. if (sub == nullptr) {
  84. return false;
  85. }
  86. GELOGD("[%s] Await start. is_released = %s", node->GetName().c_str(), sub->IsRelease() ? "true" : "false");
  87. bool ret = sub->Await();
  88. GELOGD("[%s] Await ended. is_released = %s", node->GetName().c_str(), sub->IsRelease() ? "true" : "false");
  89. return ret;
  90. }
  91. } // namespace hybrid
  92. } // 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