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single_op.cc 9.6 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.h"
  17. #include "common/fmk_types.h"
  18. #include "common/ge_types.h"
  19. #include "common/math/math_util.h"
  20. #include "common/profiling/profiling_manager.h"
  21. #include "framework/common/debug/ge_log.h"
  22. #include "framework/common/util.h"
  23. #include "graph/load/new_model_manager/model_utils.h"
  24. #include "runtime/mem.h"
  25. #include "single_op/single_op_manager.h"
  26. #include "single_op/task/build_task_utils.h"
  27. #include "graph/load/new_model_manager/model_manager.h"
  28. namespace ge {
  29. namespace {
  30. const size_t kDataMemAlignSize = 32;
  31. const size_t kDataMemAlignUnit = 2;
  32. size_t GetAlignedSize(size_t size) {
  33. size_t aligned_size = (size + kDataMemAlignUnit * kDataMemAlignSize - 1) / kDataMemAlignSize * kDataMemAlignSize;
  34. return aligned_size;
  35. }
  36. Status ProfilingTaskInfo(OpTask *op_task) {
  37. if (!ProfilingManager::Instance().ProfilingModelExecuteOn()) {
  38. return SUCCESS;
  39. }
  40. string model_name;
  41. string op_name;
  42. uint32_t model_id;
  43. uint32_t block_dim;
  44. if (op_task->GetProfilingArgs(model_name, op_name, model_id, block_dim) != SUCCESS) {
  45. GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Get profiling data of task failed");
  46. return ACL_ERROR_GE_PARAM_INVALID;
  47. }
  48. GELOGD("ProfilingReport of op[%s] model[%s] start.", op_name.c_str(), model_name.c_str());
  49. std::vector<TaskDescInfo> task_desc_info;
  50. uint32_t task_id = 0;
  51. uint32_t stream_id = 0;
  52. if (rtGetTaskIdAndStreamID(&task_id, &stream_id) != RT_ERROR_NONE) {
  53. GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Get task_id and stream_id failed.");
  54. return ACL_ERROR_GE_PARAM_INVALID;
  55. }
  56. TaskDescInfo tmp_task_desc_info;
  57. tmp_task_desc_info.model_name = model_name;
  58. tmp_task_desc_info.op_name = op_name;
  59. tmp_task_desc_info.block_dim = block_dim;
  60. tmp_task_desc_info.task_id = task_id;
  61. tmp_task_desc_info.stream_id = stream_id;
  62. GELOGD("GetTaskDescInfo of op [%s] end, task_id[%u], stream_id[%u]", op_name.c_str(), task_id, stream_id);
  63. task_desc_info.emplace_back(tmp_task_desc_info);
  64. std::vector<ComputeGraphDescInfo> compute_graph_info;
  65. auto &profiling_manager = ProfilingManager::Instance();
  66. profiling_manager.ReportProfilingData(model_id, task_desc_info, compute_graph_info);
  67. return SUCCESS;
  68. }
  69. } // namespace
  70. SingleOp::SingleOp(StreamResource *stream_resource, std::mutex *stream_mutex, rtStream_t stream)
  71. : stream_resource_(stream_resource), stream_mutex_(stream_mutex), stream_(stream) {
  72. }
  73. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY SingleOp::~SingleOp() {
  74. for (auto task : tasks_) {
  75. delete task;
  76. task = nullptr;
  77. }
  78. }
  79. Status SingleOp::ValidateArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs) {
  80. auto num_inputs = inputs.size();
  81. if (num_inputs != input_sizes_.size()) {
  82. GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Input num mismatch. model expect %zu, but given %zu", input_addr_list_.size(),
  83. inputs.size());
  84. return ACL_ERROR_GE_PARAM_INVALID;
  85. }
  86. for (size_t i = 0; i < num_inputs; ++i) {
  87. // preventing from read out of bound
  88. size_t aligned_size = GetAlignedSize(inputs[i].length);
  89. GELOGI("Input [%zu], aligned_size:%zu, inputs.length:%lu, input_sizes_:%zu",
  90. i, aligned_size, inputs[i].length, input_sizes_[i]);
  91. if (aligned_size < input_sizes_[i]) {
  92. GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Input size mismatch. index = %zu, model expect %zu,"
  93. " but given %zu(after align)", i, input_sizes_[i], aligned_size);
  94. return ACL_ERROR_GE_PARAM_INVALID;
  95. }
  96. }
  97. auto num_outputs = outputs.size();
  98. if (num_outputs != output_sizes_.size()) {
  99. GELOGE(ACL_ERROR_GE_PARAM_INVALID, "output num mismatch. model expect %zu, but given %zu",
  100. output_sizes_.size(), outputs.size());
  101. return ACL_ERROR_GE_PARAM_INVALID;
  102. }
  103. for (size_t i = 0; i < num_outputs; ++i) {
  104. // preventing from write out of bound
  105. size_t aligned_size = GetAlignedSize(outputs[i].length);
  106. GELOGI("Output [%zu], aligned_size:%zu, outputs.length:%lu, output_sizes_:%zu",
  107. i, aligned_size, outputs[i].length, output_sizes_[i]);
  108. if (aligned_size < output_sizes_[i]) {
  109. GELOGE(ACL_ERROR_GE_PARAM_INVALID, "Output size mismatch. index = %zu, model expect %zu,"
  110. "but given %zu(after align)", i, output_sizes_[i], aligned_size);
  111. return ACL_ERROR_GE_PARAM_INVALID;
  112. }
  113. }
  114. return SUCCESS;
  115. }
  116. Status SingleOp::GetArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs) {
  117. size_t arg_index = 0;
  118. for (auto &input : inputs) {
  119. args_[arg_index++] = reinterpret_cast<uintptr_t>(input.data);
  120. }
  121. for (auto &output : outputs) {
  122. args_[arg_index++] = reinterpret_cast<uintptr_t>(output.data);
  123. }
  124. return SUCCESS;
  125. }
  126. Status SingleOp::UpdateArgs(const std::vector<DataBuffer> &inputs, const std::vector<DataBuffer> &outputs) {
  127. Status ret = GetArgs(inputs, outputs);
  128. if (ret != SUCCESS) {
  129. return ret;
  130. }
  131. // update tbe task args
  132. size_t num_args = arg_table_.size();
  133. for (size_t i = 0; i < num_args; ++i) {
  134. std::vector<uintptr_t *> &ptr_to_arg_in_tasks = arg_table_[i];
  135. if (ptr_to_arg_in_tasks.empty()) {
  136. GELOGW("found NO arg address to update for arg[%lu]", i);
  137. continue;
  138. }
  139. for (uintptr_t *arg_addr : ptr_to_arg_in_tasks) {
  140. *arg_addr = args_[i];
  141. }
  142. }
  143. return SUCCESS;
  144. }
  145. FMK_FUNC_HOST_VISIBILITY FMK_FUNC_DEV_VISIBILITY Status SingleOp::ExecuteAsync(const std::vector<DataBuffer> &inputs,
  146. const std::vector<DataBuffer> &outputs) {
  147. Status ret = ValidateArgs(inputs, outputs);
  148. if (ret != SUCCESS) {
  149. return ret;
  150. }
  151. GE_CHECK_NOTNULL(stream_resource_);
  152. std::lock_guard<std::mutex> lk(*stream_mutex_);
  153. auto current_mem_base = stream_resource_->GetMemoryBase();
  154. if (running_param_->mem_base != current_mem_base) {
  155. running_param_->mem_base = const_cast<uint8_t *>(current_mem_base);
  156. GELOGD("Memory base changed, new memory base = %p", current_mem_base);
  157. for (auto &task : tasks_) {
  158. auto new_address = BuildTaskUtils::GetAddresses(task->GetOpdesc(), *running_param_);
  159. GE_CHK_STATUS_RET(task->UpdateArgTable(*running_param_),
  160. "[%s] Failed to update arg table",
  161. task->GetOpdesc()->GetName().c_str());
  162. }
  163. }
  164. ret = UpdateArgs(inputs, outputs);
  165. if (ret != SUCCESS) {
  166. return ret;
  167. }
  168. for (auto &task : tasks_) {
  169. ret = task->LaunchKernel(stream_);
  170. if (ret != SUCCESS) {
  171. return ret;
  172. }
  173. GE_CHK_STATUS_RET_NOLOG(ProfilingTaskInfo(task));
  174. }
  175. return ret;
  176. }
  177. void SingleOp::SetStream(rtStream_t stream) {
  178. stream_ = stream;
  179. }
  180. DynamicSingleOp::DynamicSingleOp(uintptr_t resource_id, std::mutex *stream_mutex, rtStream_t stream)
  181. : resource_id_(resource_id), stream_mutex_(stream_mutex), stream_(stream) {
  182. }
  183. Status DynamicSingleOp::ValidateParams(const vector<GeTensorDesc> &input_desc,
  184. const std::vector<DataBuffer> &inputs,
  185. std::vector<GeTensorDesc> &output_desc,
  186. std::vector<DataBuffer> &outputs) const {
  187. if (inputs.size() != input_desc.size()) {
  188. GELOGE(ACL_ERROR_GE_PARAM_INVALID,
  189. "Input number mismatches input desc number. Input num = %zu, input desc num = %zu",
  190. inputs.size(),
  191. input_desc.size());
  192. return ACL_ERROR_GE_PARAM_INVALID;
  193. }
  194. if (outputs.size() != output_desc.size()) {
  195. GELOGE(ACL_ERROR_GE_PARAM_INVALID,
  196. "Output number mismatches output desc number. Output num = %zu, output desc num = %zu",
  197. outputs.size(),
  198. output_desc.size());
  199. return ACL_ERROR_GE_PARAM_INVALID;
  200. }
  201. if (input_desc.size() != num_inputs_) {
  202. GELOGE(ACL_ERROR_GE_PARAM_INVALID,
  203. "Input number mismatches. expect %zu, but given %zu",
  204. num_inputs_,
  205. input_desc.size());
  206. return ACL_ERROR_GE_PARAM_INVALID;
  207. }
  208. if (output_desc.size() != num_outputs_) {
  209. GELOGE(ACL_ERROR_GE_PARAM_INVALID,
  210. "Output number mismatches. expect %zu, but given %zu",
  211. num_outputs_,
  212. output_desc.size());
  213. return ACL_ERROR_GE_PARAM_INVALID;
  214. }
  215. return SUCCESS;
  216. }
  217. Status DynamicSingleOp::ExecuteAsync(const vector<GeTensorDesc> &input_desc,
  218. const vector<DataBuffer> &input_buffers,
  219. vector<GeTensorDesc> &output_desc,
  220. vector<DataBuffer> &output_buffers) {
  221. GE_CHECK_NOTNULL(op_task_);
  222. GE_CHK_STATUS_RET_NOLOG(ValidateParams(input_desc, input_buffers, output_desc, output_buffers));
  223. std::lock_guard<std::mutex> lk(*stream_mutex_);
  224. GE_CHK_STATUS_RET_NOLOG(op_task_->LaunchKernel(input_desc, input_buffers, output_desc, output_buffers, stream_));
  225. GE_CHK_STATUS_RET_NOLOG(ProfilingTaskInfo(op_task_.get()));
  226. return SUCCESS;
  227. }
  228. } // 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