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useless_control_out_remove_pass.cc 1.8 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/useless_control_out_remove_pass.h"
  17. #include "graph/debug/ge_attr_define.h"
  18. #include "graph/utils/graph_utils.h"
  19. #include "framework/common/debug/ge_log.h"
  20. #include "framework/common/debug/log.h"
  21. namespace ge {
  22. Status UselessControlOutRemovePass::Run(NodePtr &node) {
  23. GE_CHECK_NOTNULL(node);
  24. if ((node->GetType() != CONSTANT) && (node->GetType() != CONSTANTOP)) {
  25. return SUCCESS;
  26. }
  27. GELOGD("UselessControlOutRemovePass running, node: %s.", node->GetName().c_str());
  28. // const has no control input
  29. if (node->GetInControlNodes().empty()) {
  30. if (node->GetOutDataNodes().empty()) {
  31. // It is an isolated const, just remove it.
  32. GELOGI("Delete isolated const: %s.", node->GetName().c_str());
  33. GE_CHK_STATUS_RET(IsolateAndDeleteNode(node, {}))
  34. AddNodeDeleted(node);
  35. } else {
  36. auto out_ctrl_anchor = node->GetOutControlAnchor();
  37. if (out_ctrl_anchor != nullptr && !out_ctrl_anchor->GetPeerAnchors().empty()) {
  38. GELOGI("Node: %s unlink all out control edge.", node->GetName().c_str());
  39. out_ctrl_anchor->UnlinkAll();
  40. }
  41. }
  42. }
  43. return SUCCESS;
  44. }
  45. } // 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