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blocking_queue.h 2.6 kB

5 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. #ifndef INC_COMMON_BLOCKING_QUEUE_H_
  17. #define INC_COMMON_BLOCKING_QUEUE_H_
  18. #include <stdint.h>
  19. #include <condition_variable>
  20. #include <list>
  21. #include <mutex>
  22. static const int kDefaultMaxQueueSize = 2048;
  23. template <typename T>
  24. class BlockingQueue {
  25. public:
  26. explicit BlockingQueue(uint32_t max_size = kDefaultMaxQueueSize) : max_size_(max_size), is_stoped_(false) {}
  27. ~BlockingQueue() {}
  28. bool Pop(T &item) {
  29. std::unique_lock<std::mutex> lock(mutex_);
  30. while (queue_.empty() && !is_stoped_) {
  31. empty_cond_.wait(lock);
  32. }
  33. if (is_stoped_) {
  34. return false;
  35. }
  36. item = queue_.front();
  37. queue_.pop_front();
  38. full_cond_.notify_one();
  39. return true;
  40. }
  41. bool Push(const T &item, bool is_wait = true) {
  42. std::unique_lock<std::mutex> lock(mutex_);
  43. while (queue_.size() >= max_size_ && !is_stoped_) {
  44. if (!is_wait) {
  45. return false;
  46. }
  47. full_cond_.wait(lock);
  48. }
  49. if (is_stoped_) {
  50. return false;
  51. }
  52. queue_.push_back(item);
  53. empty_cond_.notify_one();
  54. return true;
  55. }
  56. void Stop() {
  57. {
  58. std::unique_lock<std::mutex> lock(mutex_);
  59. is_stoped_ = true;
  60. }
  61. full_cond_.notify_all();
  62. empty_cond_.notify_all();
  63. }
  64. void Restart() {
  65. std::unique_lock<std::mutex> lock(mutex_);
  66. is_stoped_ = false;
  67. }
  68. // if the queue is stoped ,need call this function to release the unprocessed items
  69. std::list<T> GetRemainItems() {
  70. std::unique_lock<std::mutex> lock(mutex_);
  71. if (!is_stoped_) {
  72. return std::list<T>();
  73. }
  74. return queue_;
  75. }
  76. bool IsFull() {
  77. std::unique_lock<std::mutex> lock(mutex_);
  78. return queue_.size() >= max_size_;
  79. }
  80. void Clear() {
  81. std::unique_lock<std::mutex> lock(mutex_);
  82. queue_.clear();
  83. }
  84. private:
  85. std::list<T> queue_;
  86. std::mutex mutex_;
  87. std::condition_variable empty_cond_;
  88. std::condition_variable full_cond_;
  89. uint32_t max_size_;
  90. bool is_stoped_;
  91. };
  92. #endif // INC_COMMON_BLOCKING_QUEUE_H_

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

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