You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

snapshot_pass_unittest.cc 2.6 kB

5 years ago
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081
  1. /**
  2. * Copyright 2019-2020 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 <gtest/gtest.h>
  17. #define protected public
  18. #define private public
  19. #include "graph/passes/snapshot_pass.h"
  20. #include "common/op/ge_op_utils.h"
  21. #include "common/types.h"
  22. #include "graph/anchor.h"
  23. #include "graph/attr_value.h"
  24. #include "graph/compute_graph.h"
  25. #include "graph/op_desc.h"
  26. #include "graph/utils/attr_utils.h"
  27. #include "graph/utils/graph_utils.h"
  28. #include "graph/utils/op_desc_utils.h"
  29. #include "graph/utils/tensor_utils.h"
  30. #include "inc/pass_manager.h"
  31. #undef protected
  32. #undef private
  33. using namespace testing;
  34. using namespace std;
  35. using namespace ge;
  36. class UtestSnapshotPass : public Test {
  37. protected:
  38. NodePtr AddNode(ComputeGraphPtr graph, const string &name, const string &type, int32_t in_anchors_num = 1,
  39. int32_t out_anchors_num = 1) {
  40. GeTensorDesc tensor_desc;
  41. OpDescPtr op_desc = make_shared<OpDesc>(name, type);
  42. for (int32_t i = 0; i < in_anchors_num; i++) {
  43. op_desc->AddInputDesc(tensor_desc);
  44. }
  45. for (int32_t i = 0; i < out_anchors_num; i++) {
  46. op_desc->AddOutputDesc(tensor_desc);
  47. }
  48. NodePtr node = graph->AddNode(op_desc);
  49. return node;
  50. }
  51. };
  52. TEST_F(UtestSnapshotPass, succ) {
  53. ComputeGraphPtr graph = std::make_shared<ComputeGraph>("test");
  54. NodePtr prevent_grad = AddNode(graph, "PreventGradient", PREVENTGRADIENT);
  55. NodePtr snapshot = AddNode(graph, "Snapshot", SNAPSHOT);
  56. NodePtr constant = AddNode(graph, "Const", CONSTANT);
  57. GraphUtils::AddEdge(prevent_grad->GetOutDataAnchor(0), snapshot->GetInDataAnchor(0));
  58. GraphUtils::AddEdge(snapshot->GetOutDataAnchor(0), constant->GetInDataAnchor(0));
  59. SnapshotPass pass;
  60. Status status = pass.Run(snapshot);
  61. EXPECT_EQ(status, SUCCESS);
  62. NodePtr found_node = graph->FindNode("Snapshot");
  63. EXPECT_EQ(found_node, nullptr);
  64. status = pass.Run(prevent_grad);
  65. EXPECT_EQ(status, SUCCESS);
  66. string type2 = "FrameworkOp";
  67. snapshot->GetOpDesc()->SetType(type2);
  68. status = pass.Run(snapshot);
  69. }

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