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unused_const_pass.cc 1.3 kB

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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/unused_const_pass.h"
  17. #include <string>
  18. #include "framework/common/debug/ge_log.h"
  19. #include "framework/common/ge_inner_error_codes.h"
  20. namespace ge {
  21. ///
  22. /// run pass
  23. /// @param [in] node node to be deleted
  24. /// @return Status
  25. ///
  26. Status UnusedConstPass::Run(NodePtr &node) {
  27. if (node == nullptr) {
  28. GELOGE(FAILED, "parameter is null.");
  29. return FAILED;
  30. }
  31. if (node->GetOpDesc() == nullptr) {
  32. GELOGE(PARAM_INVALID, "param [opDesc] must not be null.");
  33. return PARAM_INVALID;
  34. }
  35. std::string op_type = node->GetOpDesc()->GetType();
  36. if (op_type == UNUSEDCONST) {
  37. GELOGD("op type is unused const.");
  38. return IsolateAndDeleteNode(node, {-1});
  39. }
  40. return SUCCESS;
  41. }
  42. } // 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