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inner_session_unittest.cc 2.4 kB

4 years ago
4 years ago
4 years ago
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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 <gtest/gtest.h>
  17. #include "framework/common/profiling/ge_profiling.h"
  18. #define private public
  19. #define protected public
  20. #include "session/inner_session.h"
  21. #undef private
  22. #undef protected
  23. using namespace std;
  24. namespace ge {
  25. class Utest_Inner_session : public testing::Test {
  26. protected:
  27. void SetUp() override {}
  28. void TearDown() override {}
  29. };
  30. TEST_F(Utest_Inner_session, build_graph_success) {
  31. std::map <string, string> options;
  32. uint64_t session_id = 1;
  33. InnerSession inner_seesion(session_id, options);
  34. std::vector<ge::Tensor> inputs;
  35. ge::Tensor tensor;
  36. inputs.emplace_back(tensor);
  37. Status ret = inner_seesion.BuildGraph(1, inputs);
  38. EXPECT_NE(ret, ge::SUCCESS);
  39. }
  40. TEST_F(Utest_Inner_session, initialize) {
  41. std::map<std::string, std::string> options = {
  42. {ge::MODIFY_MIXLIST, "/modify.json"}
  43. };
  44. uint64_t session_id = 1;
  45. InnerSession inner_session(session_id, options);
  46. auto ret = inner_session.Initialize();
  47. EXPECT_NE(ret, ge::SUCCESS);
  48. }
  49. TEST_F(Utest_Inner_session, check_op_precision_mode) {
  50. std::map<std::string, std::string> options = {
  51. {ge::OP_PRECISION_MODE, "./op_precision_mode.ini"}
  52. };
  53. uint64_t session_id = 1;
  54. InnerSession inner_session(session_id, options);
  55. auto ret = inner_session.Initialize();
  56. EXPECT_NE(ret, ge::SUCCESS);
  57. }
  58. TEST_F(Utest_Inner_session, get_device_from_graph) {
  59. std::map<std::string, std::string> options = {};
  60. uint64_t session_id = 1;
  61. InnerSession inner_session(session_id, options);
  62. GraphId graph_id = 1;
  63. uint32_t device_id = 0;
  64. Graph graph("test_graph");
  65. Status ret = inner_session.AddGraph(graph_id, graph);
  66. ret = ProfGetDeviceFormGraphId(graph_id, device_id);
  67. EXPECT_EQ(ret, ge::SUCCESS);
  68. }
  69. } // 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