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dimension_compute_pass.cc 2.1 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/dimension_compute_pass.h"
  17. #include <memory>
  18. #include <vector>
  19. #include "framework/common/debug/log.h"
  20. #include "framework/common/debug/ge_log.h"
  21. #include "framework/common/ge_inner_error_codes.h"
  22. #include "graph/utils/attr_utils.h"
  23. #include "inc/kernel.h"
  24. namespace ge {
  25. Status DimensionComputePass::Run(ge::NodePtr &node) {
  26. GE_CHECK_NOTNULL(node);
  27. auto op_kernel = folding_pass::GetKernelByType(node);
  28. if (op_kernel == nullptr || folding_pass::IsNoNeedConstantFolding(node)) {
  29. return SUCCESS;
  30. }
  31. std::vector<GeTensorPtr> outputs;
  32. auto ret = op_kernel->Compute(node, outputs);
  33. if (ret != SUCCESS) {
  34. if (ret == NOT_CHANGED) {
  35. return SUCCESS;
  36. } else {
  37. REPORT_CALL_ERROR("E19999", "kernel compute for op:%s(%s) failed",
  38. node->GetName().c_str(), node->GetType().c_str());
  39. GELOGE(ret, "[Call][Compute] for op:%s(%s) failed", node->GetName().c_str(), node->GetType().c_str());
  40. return ret;
  41. }
  42. }
  43. if (outputs.empty()) {
  44. REPORT_INNER_ERROR("E19999", "After compute for node %s(%s), output weight is empty, check invalid",
  45. node->GetName().c_str(), node->GetType().c_str());
  46. GELOGE(INTERNAL_ERROR, "[Check][Param] After compute for node %s(%s), output weight is empty",
  47. node->GetName().c_str(), node->GetType().c_str());
  48. return INTERNAL_ERROR;
  49. }
  50. return Folding(node, outputs);
  51. }
  52. } // 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