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node_done_manager.cc 3.6 kB

4 years ago
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 = 600;
  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, "[Invoke][wait_for]Wait timed out.");
  30. REPORT_INNER_ERROR("E19999", "wait timed out[%d].", kDefaultWaitTimeoutInSec);
  31. return false;
  32. }
  33. return is_released_;
  34. }
  35. void NodeDoneManager::Cond::Reset() {
  36. std::unique_lock<std::mutex> lk(cond_mu_);
  37. if (!is_released_ && !is_cancelled_) {
  38. GELOGW("Called before done, released: %d, cancelled: %d", is_released_, is_cancelled_);
  39. }
  40. is_released_ = false;
  41. is_cancelled_ = false;
  42. }
  43. void NodeDoneManager::Cond::Release() {
  44. std::unique_lock<std::mutex> lk(cond_mu_);
  45. is_released_ = true;
  46. cv_.notify_all();
  47. }
  48. void NodeDoneManager::Cond::Cancel() {
  49. std::unique_lock<std::mutex> lk(cond_mu_);
  50. is_cancelled_ = true;
  51. cv_.notify_all();
  52. }
  53. bool NodeDoneManager::Cond::IsRelease() {
  54. std::unique_lock<std::mutex> lk(cond_mu_);
  55. return is_released_;
  56. }
  57. NodeDoneManager::Cond *NodeDoneManager::GetSubject(const NodePtr &node) {
  58. std::lock_guard<std::mutex> lk(mu_);
  59. if (destroyed_) {
  60. GELOGD("Already destroyed.");
  61. return nullptr;
  62. }
  63. auto it = subjects_.find(node);
  64. if (it == subjects_.end()) {
  65. return &subjects_[node];
  66. }
  67. return &it->second;
  68. }
  69. void NodeDoneManager::Destroy() {
  70. GELOGD("Start to reset NodeDoneManager.");
  71. std::lock_guard<std::mutex> lk(mu_);
  72. GELOGD("Cond size = %zu.", subjects_.size());
  73. for (auto &sub : subjects_) {
  74. if (!sub.second.IsRelease()) {
  75. sub.second.Cancel();
  76. GELOGD("[%s] Node canceled.", sub.first->GetName().c_str());
  77. }
  78. }
  79. subjects_.clear();
  80. destroyed_ = true;
  81. GELOGD("Done resetting NodeDoneManager successfully.");
  82. }
  83. void NodeDoneManager::NodeDone(const NodePtr &node) {
  84. auto sub = GetSubject(node);
  85. if (sub != nullptr) {
  86. sub->Release();
  87. GELOGD("[%s] Node released.", node->GetName().c_str());
  88. }
  89. }
  90. bool NodeDoneManager::Await(const NodePtr &node) {
  91. auto sub = GetSubject(node);
  92. if (sub == nullptr) {
  93. return false;
  94. }
  95. GELOGD("[%s] Await start. is_released = %s", node->GetName().c_str(), sub->IsRelease() ? "true" : "false");
  96. bool ret = sub->Await();
  97. GELOGD("[%s] Await ended. is_released = %s", node->GetName().c_str(), sub->IsRelease() ? "true" : "false");
  98. return ret;
  99. }
  100. void NodeDoneManager::Reset(const NodePtr &node) {
  101. auto sub = GetSubject(node);
  102. if (sub != nullptr) {
  103. sub->Reset();
  104. GELOGD("[%s] Node reset.", node->GetName().c_str());
  105. }
  106. }
  107. void NodeDoneManager::Reset() {
  108. subjects_.clear();
  109. destroyed_ = false;
  110. }
  111. } // namespace hybrid
  112. } // 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