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host_mem_manager.cc 3.0 kB

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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 "graph/manager/host_mem_manager.h"
  17. #include <sstream>
  18. #include "graph/utils/tensor_utils.h"
  19. namespace ge {
  20. Status HostMemoryAllocator::Allocate(std::size_t memory_size, uint8_t *memory_addr) {
  21. GELOGI("HostMemoryAllocator::MallocMemory size= %zu.", memory_size);
  22. return SUCCESS;
  23. }
  24. Status HostMemoryAllocator::DeAllocate(uint8_t *memory_addr) {
  25. if (rtFreeHost(memory_addr) != RT_ERROR_NONE) {
  26. GELOGE(GE_GRAPH_FREE_FAILED, "MemoryAllocator::Free memory failed.");
  27. return GE_GRAPH_FREE_FAILED;
  28. }
  29. memory_addr = nullptr;
  30. return ge::SUCCESS;
  31. }
  32. HostMemManager &HostMemManager::Instance() {
  33. static HostMemManager mem_manager;
  34. return mem_manager;
  35. }
  36. Status HostMemManager::Initialize() {
  37. std::lock_guard<std::recursive_mutex> lock(mutex_);
  38. allocator_ = std::unique_ptr<HostMemoryAllocator>(new (std::nothrow) HostMemoryAllocator());
  39. if (allocator_ == nullptr) {
  40. GELOGE(GE_GRAPH_MALLOC_FAILED, "Host mem allocator init failed!");
  41. return GE_GRAPH_MALLOC_FAILED;
  42. }
  43. return SUCCESS;
  44. }
  45. void HostMemManager::Finalize() noexcept {
  46. std::lock_guard<std::recursive_mutex> lock(mutex_);
  47. for (const auto &it : var_memory_base_map_) {
  48. if (allocator_->DeAllocate(it.second.address) != SUCCESS) {
  49. GELOGW("Host %s mem deAllocator failed!", it.first.c_str());
  50. }
  51. }
  52. var_memory_base_map_.clear();
  53. }
  54. Status HostMemManager::MallocMemoryForHostVar(const string &op_name, uint64_t tensor_size, uint8_t *&var_addr) {
  55. std::lock_guard<std::recursive_mutex> lock(mutex_);
  56. if (var_memory_base_map_.find(op_name) != var_memory_base_map_.end()) {
  57. GELOGI("Host mem for variable %s has been malloced", op_name.c_str());
  58. return SUCCESS;
  59. }
  60. GE_CHECK_NOTNULL(allocator_);
  61. GE_CHK_STATUS(allocator_->Allocate(tensor_size, var_addr));
  62. HostMemInfo info(var_addr, tensor_size);
  63. var_memory_base_map_[op_name] = info;
  64. return SUCCESS;
  65. }
  66. Status HostMemManager::QueryVarMemInfo(const string &op_name, uint64_t &base_addr, uint64_t &data_size) {
  67. if (var_memory_base_map_.find(op_name) == var_memory_base_map_.end()) {
  68. GELOGE(INTERNAL_ERROR, "Find host base base_addr failed,node name:%s!", op_name.c_str());
  69. return INTERNAL_ERROR;
  70. }
  71. base_addr = reinterpret_cast<uint64_t>(reinterpret_cast<uintptr_t>(var_memory_base_map_[op_name].address));
  72. data_size = var_memory_base_map_[op_name].data_size;
  73. return SUCCESS;
  74. }
  75. } // 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