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guarantee_const_pass.cc 2.0 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/guarantee_const_pass.h"
  17. #include <string>
  18. #include "framework/common/debug/ge_log.h"
  19. #include "common/ge_inner_error_codes.h"
  20. #include "common/types.h"
  21. #include "graph/common/omg_util.h"
  22. #include "graph/utils/attr_utils.h"
  23. #include "graph/utils/graph_utils.h"
  24. namespace ge {
  25. namespace {
  26. const uint32_t kGuaranteeConstInputsSize = 1;
  27. }
  28. Status GuaranteeConstPass::Run(NodePtr &node) {
  29. GE_CHECK_NOTNULL(node);
  30. GE_CHECK_NOTNULL(node->GetOpDesc());
  31. string type;
  32. Status status_ret = GetOriginalType(node, type);
  33. if (status_ret != SUCCESS) {
  34. GELOGE(status_ret, "GuaranteeConstPass get original type fail.");
  35. return status_ret;
  36. }
  37. if (type != GUARANTEECONST) {
  38. return SUCCESS;
  39. }
  40. if (node->GetOpDesc()->GetAllInputsDesc().size() != kGuaranteeConstInputsSize) {
  41. GELOGE(PARAM_INVALID, "input size error. Input size:%zu", node->GetOpDesc()->GetAllInputsDesc().size());
  42. return PARAM_INVALID;
  43. }
  44. // [Cascade pointer]
  45. const auto &in_desc = node->GetOpDesc()->MutableInputDesc(0);
  46. GE_CHECK_NOTNULL(in_desc);
  47. // Input tensor cannot be a resource variable handle.
  48. const DataType &input_dtype = in_desc->GetDataType();
  49. if (input_dtype == DT_RESOURCE) {
  50. GELOGE(FAILED, "Input tensor cannot be a resource variable handle in [%s].", node->GetName().c_str());
  51. return FAILED;
  52. }
  53. return IsolateAndDeleteNode(node, {0});
  54. }
  55. } // 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