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dropout_pass.cc 1.4 kB

5 years ago
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  1. /**
  2. * Copyright 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/passes/dropout_pass.h"
  17. #include <string>
  18. #include "framework/common/debug/ge_log.h"
  19. #include "framework/common/ge_inner_error_codes.h"
  20. #include "graph/utils/node_utils.h"
  21. namespace ge {
  22. ///
  23. /// run pass
  24. /// @param [in] node node to be optimized
  25. /// @return Status
  26. ///
  27. Status DropOutPass::Run(NodePtr &node) {
  28. GELOGD("DropOutPass running");
  29. if (node == nullptr) {
  30. GELOGE(FAILED, "parameter is null.");
  31. return FAILED;
  32. }
  33. if (node->GetOpDesc() == nullptr) {
  34. GELOGE(PARAM_INVALID, "param [opDesc] must not be null.");
  35. return PARAM_INVALID;
  36. }
  37. std::string op_type = node->GetOpDesc()->GetType();
  38. if (op_type == DROPOUT) {
  39. GELOGD("op type is dropout.");
  40. return IsolateAndDeleteNode(node, {0});
  41. }
  42. return SUCCESS;
  43. }
  44. } // 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