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profiling_init_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_init.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 UtestGeProfilingInit : public testing::Test {
  32. protected:
  33. void SetUp() override {}
  34. void TearDown() override {}
  35. };
  36. TEST_F(UtestGeProfilingInit, test_init) {
  37. setenv("PROFILING_MODE", "true", true);
  38. Options options;
  39. options.device_id = 0;
  40. options.job_id = "0";
  41. options.profiling_mode = "1";
  42. options.profiling_options = R"({"result_path":"/data/profiling","training_trace":"on","task_trace":"on","aicpu_trace":"on","fp_point":"Data_0","bp_point":"addn","ai_core_metrics":"ResourceConflictRatio"})";
  43. auto &profiling_init = ge::ProfilingInit::Instance();
  44. auto ret = profiling_init.Init(options);
  45. EXPECT_EQ(ret, ge::SUCCESS);
  46. }
  47. TEST_F(UtestGeProfilingInit, test_stop) {
  48. auto &profiling_init = ge::ProfilingInit::Instance();
  49. profiling_init.StopProfiling();
  50. }
  51. TEST_F(UtestGeProfilingInit, test_shut) {
  52. auto &profiling_init = ge::ProfilingInit::Instance();
  53. profiling_init.ShutDownProfiling();
  54. }
  55. TEST_F(UtestGeProfilingInit, test_set_deviceId) {
  56. uint32_t model_id = 0;
  57. uint32_t device_id = 0;
  58. auto &profiling_init = ge::ProfilingInit::Instance();
  59. auto ret = profiling_init.SetDeviceIdByModelId(model_id, device_id);
  60. }
  61. TEST_F(UtestGeProfilingInit, test_unset_deviceId) {
  62. uint32_t model_id = 0;
  63. uint32_t device_id = 0;
  64. auto &profiling_init = ge::ProfilingInit::Instance();
  65. auto ret = profiling_init.UnsetDeviceIdByModelId(model_id, device_id);
  66. }

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