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run_graph_unittest.cc 1.9 kB

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  1. /**
  2. * Copyright 2021 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. #include <memory>
  18. #include "graph/anchor.h"
  19. #include "graph/attr_value.h"
  20. #include "graph/debug/ge_attr_define.h"
  21. #include "graph/utils/graph_utils.h"
  22. #include "graph/utils/node_utils.h"
  23. #include "graph/utils/op_desc_utils.h"
  24. #include "graph/utils/tensor_utils.h"
  25. #include "omg/omg_inner_types.h"
  26. #define protected public
  27. #define private public
  28. #include"graph/manager/graph_manager_utils.h"
  29. #include "graph/manager/graph_manager.h"
  30. #undef protected
  31. #undef private
  32. using namespace std;
  33. using namespace testing;
  34. using namespace ge;
  35. using domi::GetContext;
  36. class UtestGraphRunTest : public testing::Test {
  37. protected:
  38. void SetUp() {}
  39. void TearDown() { GetContext().out_nodes_map.clear(); }
  40. };
  41. TEST_F(UtestGraphRunTest, RunGraphWithStreamAsync) {
  42. GraphManager graph_manager;
  43. GeTensor input0, input1;
  44. std::vector<GeTensor> inputs{input0, input1};
  45. std::vector<GeTensor> outputs;
  46. GraphNodePtr graph_node = std::make_shared<GraphNode>(1);
  47. graph_manager.AddGraphNode(1, graph_node);
  48. GraphPtr graph = std::make_shared<Graph>("test");
  49. graph_node->SetGraph(graph);
  50. graph_node->SetRunFlag(false);
  51. graph_node->SetBuildFlag(true);
  52. auto ret = graph_manager.RunGraphWithStreamAsync(1, nullptr, 0, inputs, outputs);
  53. }

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