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single_op_manager.cc 6.0 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 "single_op/single_op_manager.h"
  17. #include <mutex>
  18. #include <string>
  19. namespace ge {
  20. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY SingleOpManager::~SingleOpManager() {
  21. for (auto &it : stream_resources_) {
  22. delete it.second;
  23. it.second = nullptr;
  24. }
  25. }
  26. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status SingleOpManager::GetOpFromModel(const std::string &model_name,
  27. const ModelData &model_data,
  28. void *stream,
  29. SingleOp **single_op,
  30. const uint64_t model_id) {
  31. GELOGI("GetOpFromModel in. model name = %s, model id = %lu", model_name.c_str(), model_id);
  32. if (single_op == nullptr) {
  33. GELOGE(ACL_ERROR_GE_INTERNAL_ERROR, "[Check][Param:single_op] is null.");
  34. REPORT_INPUT_ERROR("E10412", std::vector<std::string>({"inputparam"}), std::vector<std::string>({"single_op"}));
  35. return ACL_ERROR_GE_INTERNAL_ERROR;
  36. }
  37. uintptr_t resource_id = 0;
  38. GE_CHK_STATUS_RET(GetResourceId(stream, resource_id));
  39. StreamResource *res = GetResource(resource_id, stream);
  40. if (res == nullptr) {
  41. GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "[Get][Resource] failed.");
  42. REPORT_CALL_ERROR("E19999", "GetOpFromModel fail because GetResource return nullptr.");
  43. return ACL_ERROR_GE_MEMORY_ALLOCATION;
  44. }
  45. SingleOp *op = res->GetOperator(model_id);
  46. if (op != nullptr) {
  47. GELOGD("Got operator from stream cache");
  48. *single_op = op;
  49. return SUCCESS;
  50. }
  51. return res->BuildOperator(model_data, single_op, model_id);
  52. }
  53. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status SingleOpManager::ReleaseResource(void *stream) {
  54. auto resource_id = reinterpret_cast<uintptr_t>(stream);
  55. GELOGI("ReleaseResource in. resource id = 0x%lx", static_cast<uint64_t>(resource_id));
  56. std::lock_guard<std::mutex> lock(mutex_);
  57. auto it = stream_resources_.find(resource_id);
  58. if (it == stream_resources_.end()) {
  59. return SUCCESS;
  60. }
  61. delete it->second;
  62. it->second = nullptr;
  63. (void)stream_resources_.erase(it);
  64. return SUCCESS;
  65. }
  66. StreamResource *SingleOpManager::GetResource(uintptr_t resource_id, rtStream_t stream) {
  67. std::lock_guard<std::mutex> lock(mutex_);
  68. auto it = stream_resources_.find(resource_id);
  69. StreamResource *res = nullptr;
  70. if (it == stream_resources_.end()) {
  71. res = new (std::nothrow) StreamResource(resource_id);
  72. if (res != nullptr) {
  73. res->SetStream(stream);
  74. stream_resources_.emplace(resource_id, res);
  75. }
  76. } else {
  77. res = it->second;
  78. }
  79. return res;
  80. }
  81. StreamResource *SingleOpManager::TryGetResource(uintptr_t resource_id) {
  82. std::lock_guard<std::mutex> lock(mutex_);
  83. auto it = stream_resources_.find(resource_id);
  84. if (it == stream_resources_.end()) {
  85. return nullptr;
  86. }
  87. return it->second;
  88. }
  89. Status SingleOpManager::GetDynamicOpFromModel(const string &model_name,
  90. const ModelData &model_data,
  91. void *stream,
  92. DynamicSingleOp **single_op,
  93. const uint64_t model_id) {
  94. GELOGI("GetOpFromModel in. model name = %s, model id = %lu", model_name.c_str(), model_id);
  95. if (!tiling_func_registered_) {
  96. RegisterTilingFunc();
  97. }
  98. GE_CHECK_NOTNULL(single_op);
  99. uintptr_t resource_id = 0;
  100. GE_CHK_STATUS_RET(GetResourceId(stream, resource_id));
  101. StreamResource *res = GetResource(resource_id, stream);
  102. if (res == nullptr) {
  103. GELOGE(ACL_ERROR_GE_MEMORY_ALLOCATION, "[Get][Resource] failed.");
  104. REPORT_CALL_ERROR("E19999", "GetDynamicOpFromModel fail because GetResource return nullptr.");
  105. return ACL_ERROR_GE_MEMORY_ALLOCATION;
  106. }
  107. DynamicSingleOp *op = res->GetDynamicOperator(model_id);
  108. if (op != nullptr) {
  109. GELOGD("Got operator from stream cache");
  110. *single_op = op;
  111. return SUCCESS;
  112. }
  113. return res->BuildDynamicOperator(model_data, single_op, model_id);
  114. }
  115. void SingleOpManager::RegisterTilingFunc() {
  116. std::lock_guard<std::mutex> lk(mutex_);
  117. if (tiling_func_registered_) {
  118. return;
  119. }
  120. op_tiling_manager_.LoadSo();
  121. tiling_func_registered_ = true;
  122. }
  123. Status SingleOpManager::GetResourceId(rtStream_t stream, uintptr_t &resource_id) {
  124. // runtime uses NULL to denote a default stream for each device
  125. if (stream == nullptr) {
  126. // get current context
  127. rtContext_t rt_cur_ctx = nullptr;
  128. auto rt_err = rtCtxGetCurrent(&rt_cur_ctx);
  129. if (rt_err != RT_ERROR_NONE) {
  130. GELOGE(rt_err, "[Get][CurrentContext] failed, runtime result is %d", static_cast<int>(rt_err));
  131. REPORT_CALL_ERROR("E19999",
  132. "GetResourceId failed because rtCtxGetCurrent result is %d", static_cast<int>(rt_err));
  133. return RT_ERROR_TO_GE_STATUS(rt_err);
  134. }
  135. // use current context as resource key instead
  136. GELOGI("use context as resource key instead when default stream");
  137. resource_id = reinterpret_cast<uintptr_t>(rt_cur_ctx);
  138. } else {
  139. GELOGI("use stream as resource key instead when create stream");
  140. resource_id = reinterpret_cast<uintptr_t>(stream);
  141. }
  142. return SUCCESS;
  143. }
  144. } // 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