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execution_tree.cc 7.9 kB

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  1. /**
  2. * Copyright 2019 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 "dataset/engine/execution_tree.h"
  17. #include <iostream>
  18. #include <string>
  19. #include "dataset/engine/datasetops/dataset_op.h"
  20. #include "dataset/engine/datasetops/shuffle_op.h"
  21. #include "dataset/util/task_manager.h"
  22. namespace mindspore {
  23. namespace dataset {
  24. // Constructor
  25. ExecutionTree::ExecutionTree() : id_count_(0) {
  26. tg_ = std::make_unique<TaskGroup>();
  27. tree_state_ = kDeTStateInit;
  28. prepare_flags_ = kDePrepNone;
  29. }
  30. // Destructor
  31. ExecutionTree::~ExecutionTree() { (void)tg_->ServiceStop(); }
  32. // Associates a DatasetOp with this tree. This assigns a valid node id to the operator and
  33. // provides it with a link to the tree. A node cannot form any relationships (parent/child) with
  34. // other nodes unless they are associated with the same tree.
  35. Status ExecutionTree::AssociateNode(const std::shared_ptr<DatasetOp> &op) {
  36. if (tree_state_ != kDeTStateInit && tree_state_ != kDeTStateBuilding) {
  37. std::string err_msg =
  38. "Invalid tree state for adding a node. Current state: " + std::to_string(static_cast<int>(tree_state_)) +
  39. " Expected states: " + std::to_string(static_cast<int>(kDeTStateInit)) + " or " +
  40. std::to_string(static_cast<int>(kDeTStateBuilding));
  41. RETURN_STATUS_UNEXPECTED(err_msg);
  42. }
  43. // Enter the building state if we were not already there
  44. tree_state_ = kDeTStateBuilding;
  45. // Assign an id to the operator
  46. op->set_id(id_count_);
  47. id_count_++;
  48. // Assign our tree into the op so that each op has a link back to the tree
  49. op->set_tree(this);
  50. return Status::OK();
  51. }
  52. // Sets the root node of the tree
  53. Status ExecutionTree::AssignRoot(const std::shared_ptr<DatasetOp> &op) {
  54. // Tree must be in building state before we can assign root to it
  55. if (tree_state_ != kDeTStateBuilding) {
  56. std::string err_msg =
  57. "Invalid tree state for assigning a root node. Current state: " + std::to_string(static_cast<int>(tree_state_)) +
  58. " Expected state: " + std::to_string(static_cast<int>(kDeTStateBuilding));
  59. RETURN_STATUS_UNEXPECTED(err_msg);
  60. }
  61. // If they didn't already call AssociateNode for this node before calling AssignRoot,
  62. // then do so now.
  63. if (op->operator_id_ == DatasetOp::kInvalidOperatorId) {
  64. RETURN_IF_NOT_OK(this->AssociateNode(op));
  65. }
  66. // Then add it as the root.
  67. root_ = op;
  68. // The tree has an assigned root now and it's ready to be prepared.
  69. tree_state_ = kDeTStatePrepare;
  70. return Status::OK();
  71. }
  72. // A print method typically used for debugging
  73. void ExecutionTree::Print(std::ostream &out, bool show_all) const {
  74. out << "Total number of nodes in the ExecutionTree (may or may not be connected nodes): " << id_count_
  75. << "\nTree state: " << static_cast<int>(tree_state_) << "\n";
  76. if (root_ != nullptr) {
  77. // Just call the printer on the root node. Each node descends to it's children to print them if
  78. // showAll is true.
  79. root_->Print(out, show_all);
  80. }
  81. }
  82. // Start the execution of the tree
  83. Status ExecutionTree::Launch() {
  84. // Tree must be built and prepared before it can be launched!
  85. if (tree_state_ != kDeTStateReady) {
  86. std::string err_msg =
  87. "Invalid tree state for launching tree. Current state: " + std::to_string(static_cast<int>(tree_state_)) +
  88. " Expected state: " + std::to_string(static_cast<int>(kDeTStateReady));
  89. RETURN_STATUS_UNEXPECTED(err_msg);
  90. }
  91. for (auto itr = this->begin(); itr != this->end(); ++itr) {
  92. // An inlined operator is one that has an output connector size of 0, and it does not
  93. // require a thread to execute. Instead, the work of this operator is executed inlined
  94. // from the tree node directly above it (or in the case of a root node, it runs from within
  95. // the launching tree/user thread. Do not exec any thread for an inlined op.
  96. itr->state_ = DatasetOp::OpState::kDeOpRunning;
  97. if (!itr->inlined()) {
  98. RETURN_IF_NOT_OK(tg_->CreateAsyncTask("Op launched, OperatorId:" + std::to_string(itr->id()), std::ref(*itr)));
  99. // Set the state of the Operator as running. This only matters in Leaf ops, CacheOp and TakeOp
  100. }
  101. }
  102. tree_state_ = kDeTStateExecuting;
  103. return Status::OK();
  104. }
  105. // A function that traverse the tree in postorder then save the results in nodes
  106. void ExecutionTree::Iterator::PostOrderTraverse(const std::shared_ptr<DatasetOp> &node) {
  107. if (node == nullptr) {
  108. return;
  109. }
  110. for (int32_t i = 0; i < node->child_.size(); ++i) {
  111. PostOrderTraverse(node->child_[i]);
  112. }
  113. nodes_.push_back(node);
  114. }
  115. ExecutionTree::Iterator::Iterator(const std::shared_ptr<DatasetOp> &root) : ind_(0) {
  116. // post-order traverse the tree, if root is null, it return
  117. PostOrderTraverse(root);
  118. nodes_.emplace_back(nullptr);
  119. }
  120. // Given the number of workers, launches the worker entry function for each. Essentially a
  121. // wrapper for the TaskGroup handling that is stored inside the execution tree.
  122. Status ExecutionTree::LaunchWorkers(int32_t num_workers, std::function<Status(uint32_t)> func) {
  123. // Launch the workers
  124. for (int32_t i = 0; i < num_workers; ++i) {
  125. RETURN_IF_NOT_OK(tg_->CreateAsyncTask("Parallel Op Worker", std::bind(func, i)));
  126. }
  127. return Status::OK();
  128. }
  129. // The driver of the prepare phase of the execution tree. The prepare phase will recursively
  130. // walk the tree to perform modifications to the tree or specific nodes within the tree to get
  131. // it ready for execution.
  132. Status ExecutionTree::Prepare() {
  133. // Tree must be in pending prepare state before we can assign root to it
  134. if (tree_state_ != kDeTStatePrepare) {
  135. std::string err_msg =
  136. "Invalid tree state for preparing the tree. Current state: " + std::to_string(static_cast<int>(tree_state_)) +
  137. " Expected state: " + std::to_string(static_cast<int>(kDeTStatePrepare));
  138. RETURN_STATUS_UNEXPECTED(err_msg);
  139. }
  140. // Start the recursive prepare
  141. RETURN_IF_NOT_OK(this->PrepareNode(root_));
  142. tree_state_ = kDeTStateReady;
  143. return Status::OK();
  144. }
  145. // Recursive function used during prepare phase to visit a node and drive any pre- and post-
  146. // node actions during a tree walk.
  147. Status ExecutionTree::PrepareNode(const std::shared_ptr<DatasetOp> &dataset_op) {
  148. // execute PreAction
  149. RETURN_IF_NOT_OK(dataset_op->PrepareNodePreAction());
  150. // Before going down into children, make any prepare flags updates based on this operator.
  151. uint32_t op_prep_flags = dataset_op->PrepareFlags();
  152. BitSet(&prepare_flags_, op_prep_flags);
  153. // Now, descend to children
  154. for (const auto &i : dataset_op->child_) {
  155. RETURN_IF_NOT_OK(this->PrepareNode(i));
  156. }
  157. // Then clear the flags from this op now that we have prepared it.
  158. BitClear(&prepare_flags_, op_prep_flags);
  159. // No more children, now we execute any prepare actions before going back up the
  160. // the tree on recursive function
  161. RETURN_IF_NOT_OK(dataset_op->PrepareNodePostAction());
  162. return Status::OK();
  163. }
  164. // Adds an operator to the repeat stack during prepare phase.
  165. void ExecutionTree::AddToRepeatStack(std::shared_ptr<DatasetOp> dataset_op) { repeat_stack_.push(dataset_op); }
  166. // Pops an operator from the repeat stack during prepare phase.
  167. std::shared_ptr<DatasetOp> ExecutionTree::PopFromRepeatStack() {
  168. std::shared_ptr<DatasetOp> top_op = nullptr;
  169. if (!repeat_stack_.empty()) {
  170. top_op = repeat_stack_.top();
  171. repeat_stack_.pop();
  172. }
  173. return top_op;
  174. }
  175. } // namespace dataset
  176. } // namespace mindspore