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guarantee_const_pass.cc 2.8 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/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. #include "graph/utils/type_utils.h"
  25. namespace ge {
  26. namespace {
  27. const uint32_t kGuaranteeConstInputsSize = 1;
  28. }
  29. Status GuaranteeConstPass::Run(NodePtr &node) {
  30. GE_CHECK_NOTNULL(node);
  31. GE_CHECK_NOTNULL(node->GetOpDesc());
  32. string type;
  33. Status status_ret = GetOriginalType(node, type);
  34. if (status_ret != SUCCESS) {
  35. REPORT_CALL_ERROR("E19999", "Get original type for node:%s failed",
  36. node->GetName().c_str());
  37. GELOGE(status_ret, "GuaranteeConstPass get original type fail.");
  38. return status_ret;
  39. }
  40. if (type != GUARANTEECONST) {
  41. return SUCCESS;
  42. }
  43. if (node->GetOpDesc()->GetAllInputsDesc().size() != kGuaranteeConstInputsSize) {
  44. REPORT_CALL_ERROR("E19999", "Num:%zu of input desc node:%s(%s) not equal to %u, "
  45. "check invalid", node->GetOpDesc()->GetAllInputsDesc().size(),
  46. node->GetName().c_str(), node->GetType().c_str(), kGuaranteeConstInputsSize);
  47. GELOGE(PARAM_INVALID, "input size error. Input size:%zu", node->GetOpDesc()->GetAllInputsDesc().size());
  48. return PARAM_INVALID;
  49. }
  50. // [Cascade pointer]
  51. const auto &in_desc = node->GetOpDesc()->MutableInputDesc(0);
  52. GE_CHECK_NOTNULL(in_desc);
  53. // Input tensor cannot be a resource variable handle.
  54. const DataType &input_dtype = in_desc->GetDataType();
  55. if (input_dtype == DT_RESOURCE) {
  56. REPORT_CALL_ERROR("E19999",
  57. "Data type:%s of op:%s(%s) input0 tensor not equal to %s, check invalid",
  58. TypeUtils::DataTypeToSerialString(input_dtype).c_str(),
  59. node->GetName().c_str(), node->GetType().c_str(),
  60. TypeUtils::DataTypeToSerialString(DT_RESOURCE).c_str());
  61. GELOGE(FAILED, "Input tensor cannot be a resource variable handle in [%s].", node->GetName().c_str());
  62. return FAILED;
  63. }
  64. return IsolateAndDeleteNode(node, {0});
  65. }
  66. } // 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