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save_pass_unittest.cc 2.5 kB

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  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 "graph/passes/save_pass.h"
  17. #include <gtest/gtest.h>
  18. #include "common/ge_inner_error_codes.h"
  19. #include "ge/ge_api.h"
  20. #include "graph/compute_graph.h"
  21. #include "graph/debug/graph_debug.h"
  22. #include "graph/manager/graph_manager.h"
  23. #include "graph/manager/graph_manager_utils.h"
  24. #include "graph/operator_reg.h"
  25. #include "graph/utils/op_desc_utils.h"
  26. #include "inc/pass_manager.h"
  27. #include "init/gelib.h"
  28. #include "opskernel_manager/ops_kernel_manager.h"
  29. using namespace std;
  30. using namespace testing;
  31. using namespace ge;
  32. class UtestGraphPassesSavePass : public testing::Test {
  33. protected:
  34. void SetUp() {}
  35. void TearDown() {}
  36. };
  37. ge::ComputeGraphPtr CreateSaveGraph() {
  38. ge::ComputeGraphPtr graph = std::make_shared<ge::ComputeGraph>("default");
  39. // variable1
  40. ge::OpDescPtr variable_op = std::make_shared<ge::OpDesc>();
  41. variable_op->SetType("Variable");
  42. variable_op->SetName("Variable1");
  43. variable_op->AddInputDesc(ge::GeTensorDesc());
  44. variable_op->AddOutputDesc(ge::GeTensorDesc());
  45. ge::NodePtr variable_node = graph->AddNode(variable_op);
  46. // save1
  47. ge::OpDescPtr save_op = std::make_shared<ge::OpDesc>();
  48. save_op->SetType("Save");
  49. save_op->SetName("Save1");
  50. save_op->AddInputDesc(ge::GeTensorDesc());
  51. save_op->AddOutputDesc(ge::GeTensorDesc());
  52. ge::NodePtr save_node = graph->AddNode(save_op);
  53. vector<ge::NodePtr> targets{save_node};
  54. graph->SetGraphTargetNodesInfo(targets);
  55. // add edge
  56. ge::GraphUtils::AddEdge(variable_node->GetOutDataAnchor(0), save_node->GetInDataAnchor(0));
  57. return graph;
  58. }
  59. TEST_F(UtestGraphPassesSavePass, cover_run_success) {
  60. ge::ComputeGraphPtr compute_graph = CreateSaveGraph();
  61. ge::PassManager pass_managers;
  62. pass_managers.AddPass("", new (std::nothrow) SavePass);
  63. Status status = pass_managers.Run(compute_graph);
  64. EXPECT_EQ(status, ge::SUCCESS);
  65. }

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