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profiling_properties_unittest.cc 2.4 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 <bits/stdc++.h>
  17. #include <dirent.h>
  18. #include <gtest/gtest.h>
  19. #include <fstream>
  20. #include <map>
  21. #include <string>
  22. #define protected public
  23. #define private public
  24. #include "common/profiling/profiling_properties.h"
  25. #include "graph/ge_local_context.h"
  26. #include "graph/manager/graph_manager.h"
  27. #undef protected
  28. #undef private
  29. using namespace ge;
  30. using namespace std;
  31. class UtestGeProfilingProperties : public testing::Test {
  32. protected:
  33. void SetUp() override {}
  34. void TearDown() override {}
  35. };
  36. TEST_F(UtestGeProfilingProperties, test_execute_profiling) {
  37. auto &profiling_properties = ge::ProfilingProperties::Instance();
  38. profiling_properties.SetExecuteProfiling(true);
  39. auto is_execute = profiling_properties.IsExecuteProfiling();
  40. EXPECT_EQ(is_execute, true);
  41. }
  42. TEST_F(UtestGeProfilingProperties, test_training_trace) {
  43. auto &profiling_properties = ge::ProfilingProperties::Instance();
  44. profiling_properties.SetTrainingTrace(true);
  45. auto is_train_trance = profiling_properties.ProfilingTrainingTraceOn();
  46. EXPECT_EQ(is_train_trance, true);
  47. }
  48. TEST_F(UtestGeProfilingProperties, test_fpbp_point) {
  49. auto &profiling_properties = ge::ProfilingProperties::Instance();
  50. std::string fp_point = "fp";
  51. std::string bp_point = "bp";
  52. profiling_properties.SetFpBpPoint(fp_point, bp_point);
  53. profiling_properties.GetFpBpPoint(fp_point, bp_point);
  54. EXPECT_EQ(fp_point, "fp");
  55. EXPECT_EQ(bp_point, "bp");
  56. }
  57. TEST_F(UtestGeProfilingProperties, test_profiling_on) {
  58. auto &profiling_properties = ge::ProfilingProperties::Instance();
  59. profiling_properties.SetExecuteProfiling(true);
  60. profiling_properties.SetLoadProfiling(true);
  61. auto profiling_on = profiling_properties.ProfilingOn();
  62. EXPECT_EQ(profiling_on, true);
  63. }

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