You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

profiling_init_unittest.cc 3.3 kB

4 years ago
4 years ago
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104
  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. options.profiling_mode = "0";
  47. ret = profiling_init.Init(options);
  48. EXPECT_EQ(ret, ge::SUCCESS);
  49. setenv("PROFILING_MODE", "false", true);
  50. ret = profiling_init.Init(options);
  51. EXPECT_EQ(ret, ge::SUCCESS);
  52. }
  53. TEST_F(UtestGeProfilingInit, test_register_ctrl_callback) {
  54. auto &profiling_init = ge::ProfilingInit::Instance();
  55. auto ret = profiling_init.ProfRegisterCtrlCallback();
  56. EXPECT_EQ(ret, ge::SUCCESS);
  57. }
  58. TEST_F(UtestGeProfilingInit, test_parse_options) {
  59. auto &profiling_init = ge::ProfilingInit::Instance();
  60. auto ret = profiling_init.ParseOptions("");
  61. EXPECT_EQ(ret, ge::PARAM_INVALID);
  62. ret = profiling_init.ParseOptions("*");
  63. EXPECT_EQ(ret, ge::PARAM_INVALID);
  64. ret = profiling_init.ParseOptions(R"(""training_trace":"on")");
  65. EXPECT_EQ(ret, ge::PARAM_INVALID);
  66. }
  67. TEST_F(UtestGeProfilingInit, test_stop) {
  68. auto &profiling_init = ge::ProfilingInit::Instance();
  69. profiling_init.StopProfiling();
  70. }
  71. TEST_F(UtestGeProfilingInit, test_shut) {
  72. auto &profiling_init = ge::ProfilingInit::Instance();
  73. profiling_init.ShutDownProfiling();
  74. }
  75. TEST_F(UtestGeProfilingInit, test_get_profiling_module) {
  76. auto &profiling_init = ge::ProfilingInit::Instance();
  77. profiling_init.GetProfilingModule();
  78. }
  79. TEST_F(UtestGeProfilingInit, test_set_deviceId) {
  80. uint32_t model_id = 0;
  81. uint32_t device_id = 0;
  82. auto &profiling_init = ge::ProfilingInit::Instance();
  83. auto ret = profiling_init.SetDeviceIdByModelId(model_id, device_id);
  84. }
  85. TEST_F(UtestGeProfilingInit, test_unset_deviceId) {
  86. uint32_t model_id = 0;
  87. uint32_t device_id = 0;
  88. auto &profiling_init = ge::ProfilingInit::Instance();
  89. auto ret = profiling_init.UnsetDeviceIdByModelId(model_id, device_id);
  90. }

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