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hccl_task_info_unittest.cc 4.2 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 <gtest/gtest.h>
  17. #define private public
  18. #define protected public
  19. #include "graph/load/model_manager/davinci_model.h"
  20. #include "graph/load/model_manager/task_info/hccl_task_info.h"
  21. namespace ge {
  22. class UtestHcclTaskInfo : public testing::Test {
  23. protected:
  24. void SetUp() {}
  25. void TearDown() {}
  26. };
  27. // test success GetTaskID
  28. TEST_F(UtestHcclTaskInfo, success_get_task_id) {
  29. domi::ModelTaskDef model_task_def;
  30. domi::TaskDef *task = model_task_def.add_task();
  31. task->set_type(RT_MODEL_TASK_KERNEL);
  32. TaskInfoPtr task_info = TaskInfoFactory::Instance().Create(static_cast<rtModelTaskType_t>(task->type()));
  33. EXPECT_EQ(task_info->GetTaskID(), 0);
  34. HcclTaskInfo hccl_task_info;
  35. EXPECT_EQ(hccl_task_info.GetTaskID(), 0);
  36. }
  37. // test init EventRecordTaskInfo
  38. TEST_F(UtestHcclTaskInfo, success_create_stream) {
  39. DavinciModel model(0, nullptr);
  40. HcclTaskInfo hccl_task_info;
  41. EXPECT_EQ(hccl_task_info.CreateStream(3, &model, 0), SUCCESS);
  42. }
  43. // test hccl_Distribute
  44. TEST_F(UtestHcclTaskInfo, success_distribute7) {
  45. DavinciModel model(0, nullptr);
  46. domi::ModelTaskDef model_task_def;
  47. domi::TaskDef *task7 = model_task_def.add_task();
  48. task7->set_type(RT_MODEL_TASK_HCCL);
  49. TaskInfoPtr task_info7 = TaskInfoFactory::Instance().Create(static_cast<rtModelTaskType_t>(task7->type()));
  50. Status ret = task_info7->Init(task7[0], &model);
  51. EXPECT_EQ(FAILED, ret);
  52. std::vector<TaskInfoPtr> task_list;
  53. task_list.push_back(task_info7);
  54. model.task_list_ = task_list;
  55. EXPECT_EQ(task_info7->Release(), SUCCESS);
  56. }
  57. // test hccl_Distribute
  58. TEST_F(UtestHcclTaskInfo, success_distribute7_with_hccl_type) {
  59. DavinciModel model(0, nullptr);
  60. rtStream_t stream = nullptr;
  61. rtStreamCreate(&stream, 0);
  62. model.stream_list_ = { stream };
  63. domi::TaskDef task_def;
  64. HcclTaskInfo hccl_task_info;
  65. EXPECT_EQ(hccl_task_info.Init(task_def, nullptr), PARAM_INVALID);
  66. domi::KernelHcclDef *kernel_hccl_def = task_def.mutable_kernel_hccl();
  67. kernel_hccl_def->set_op_index(0);
  68. kernel_hccl_def->set_hccl_type("HcomBroadcast");
  69. model.op_list_[0] = std::make_shared<OpDesc>("FrameworkOp", "FrameworkOp");
  70. EXPECT_EQ(hccl_task_info.Init(task_def, &model), SUCCESS);
  71. task_def.clear_kernel_hccl();
  72. }
  73. // test hccl_GetPrivateDefByTaskDef
  74. TEST_F(UtestHcclTaskInfo, success_hccl_get_private_def_by_task_def) {
  75. DavinciModel model(0, nullptr);
  76. domi::ModelTaskDef model_task_def;
  77. domi::TaskDef *task7 = model_task_def.add_task();
  78. task7->set_type(RT_MODEL_TASK_HCCL);
  79. // for SetStream
  80. rtStream_t stream = nullptr;
  81. rtStreamCreate(&stream, 0);
  82. model.stream_list_.push_back(stream);
  83. // for GetPrivateDefByTaskDef
  84. task7->set_ops_kernel_store_ptr(10);
  85. std::string value = "hccl_task";
  86. task7->set_private_def(value);
  87. TaskInfoPtr task_info7 = TaskInfoFactory::Instance().Create(static_cast<rtModelTaskType_t>(task7->type()));
  88. // for Distribute
  89. EXPECT_EQ(task_info7->Init(task7[0], &model), PARAM_INVALID);
  90. EXPECT_EQ(task_info7->Release(), SUCCESS);
  91. }
  92. // test hccl_task_TransToGETaskInfo
  93. TEST_F(UtestHcclTaskInfo, success_hccl_trans_to_ge_task_info) {
  94. DavinciModel model(0, nullptr);
  95. domi::ModelTaskDef model_task_def;
  96. domi::TaskDef *task7 = model_task_def.add_task();
  97. // for type
  98. task7->set_type(RT_MODEL_TASK_HCCL);
  99. TaskInfoPtr task_info7 = TaskInfoFactory::Instance().Create(static_cast<rtModelTaskType_t>(task7->type()));
  100. GETaskInfo ge_task;
  101. HcclTaskInfo hccl_task_info;
  102. hccl_task_info.TransToGETaskInfo(ge_task);
  103. EXPECT_EQ(task_info7->Release(), SUCCESS);
  104. }
  105. } // 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