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graph_var_manager_unittest.cc 2.6 kB

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  1. /**
  2. * Copyright 2021 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 <memory>
  18. #define protected public
  19. #define private public
  20. #include "graph/manager/graph_var_manager.h"
  21. #include "graph/ge_context.h"
  22. #undef protected
  23. #undef private
  24. namespace ge {
  25. class UtestGraphVarManagerTest : public testing::Test {
  26. protected:
  27. void SetUp() {}
  28. void TearDown() {}
  29. };
  30. TEST_F(UtestGraphVarManagerTest, test_get_total_memory_size) {
  31. size_t total_mem_size = 0;
  32. Status ret = VarManager::Instance(0)->GetTotalMemorySize(total_mem_size);
  33. EXPECT_EQ(total_mem_size, 1024UL * 1024UL * 1024UL);
  34. EXPECT_EQ(ret, SUCCESS);
  35. }
  36. TEST_F(UtestGraphVarManagerTest, test_set_memory_malloc_size_no_related_option) {
  37. const map<string, string> options{};
  38. Status ret = VarManager::Instance(0)->SetMemoryMallocSize(options);
  39. EXPECT_EQ(VarManager::Instance(0)->graph_mem_max_size_, floor(1024UL * 1024UL * 1024UL * (26.0f / 32.0f)));
  40. EXPECT_EQ(VarManager::Instance(0)->var_mem_max_size_, floor(1024UL * 1024UL * 1024UL * (5.0f / 32.0f)));
  41. EXPECT_EQ(ret, SUCCESS);
  42. }
  43. TEST_F(UtestGraphVarManagerTest, test_set_memory_malloc_size_with_user_specify_graph_mem_max_size) {
  44. const map<string, string> options{{"ge.graphMemoryMaxSize", "536870912"}};
  45. Status ret = VarManager::Instance(0)->SetMemoryMallocSize(options);
  46. EXPECT_EQ(VarManager::Instance(0)->graph_mem_max_size_, floor(1024UL * 1024UL * 1024UL / 2));
  47. EXPECT_EQ(VarManager::Instance(0)->var_mem_max_size_, floor(1024UL * 1024UL * 1024UL * (5.0f / 32.0f)));
  48. EXPECT_EQ(ret, SUCCESS);
  49. }
  50. TEST_F(UtestGraphVarManagerTest, test_set_memory_malloc_size_with_user_specify_var_mem_max_size) {
  51. const map<string, string> options{{"ge.variableMemoryMaxSize", "536870912"}};
  52. Status ret = VarManager::Instance(0)->SetMemoryMallocSize(options);
  53. EXPECT_EQ(VarManager::Instance(0)->graph_mem_max_size_, floor(1024UL * 1024UL * 1024UL * (26.0f / 32.0f)));
  54. EXPECT_EQ(VarManager::Instance(0)->var_mem_max_size_, floor(1024UL * 1024UL * 1024UL / 2));
  55. EXPECT_EQ(ret, SUCCESS);
  56. }
  57. } // 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