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graph_var_manager_unittest.cc 4.0 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/manager/graph_mem_manager.h"
  22. #include "graph/ge_context.h"
  23. namespace ge {
  24. class UtestGraphVarManagerTest : public testing::Test {
  25. protected:
  26. void SetUp() {
  27. VarManagerPool::Instance().Destory();
  28. }
  29. void TearDown() {
  30. VarManagerPool::Instance().Destory();
  31. }
  32. };
  33. TEST_F(UtestGraphVarManagerTest, test_set_memory_malloc_size_no_related_option) {
  34. const map<string, string> options{};
  35. EXPECT_EQ(VarManager::Instance(0)->SetMemoryMallocSize(options, 1024UL * 1024UL * 1024UL), SUCCESS);
  36. EXPECT_EQ(VarManager::Instance(0)->graph_mem_max_size_, floor(1024UL * 1024UL * 1024UL * (26.0f / 32.0f)));
  37. EXPECT_EQ(VarManager::Instance(0)->var_mem_max_size_, floor(1024UL * 1024UL * 1024UL * (5.0f / 32.0f)));
  38. EXPECT_EQ(VarManager::Instance(0)->Init(0, 0, 0, 0), SUCCESS);
  39. }
  40. TEST_F(UtestGraphVarManagerTest, test_set_memory_malloc_size_with_user_specify_graph_mem_max_size) {
  41. const map<string, string> options{{"ge.graphMemoryMaxSize", "536870912"}};
  42. Status ret = VarManager::Instance(0)->SetMemoryMallocSize(options, 1024UL * 1024UL * 1024UL);
  43. EXPECT_EQ(VarManager::Instance(0)->graph_mem_max_size_, floor(1024UL * 1024UL * 1024UL / 2));
  44. EXPECT_EQ(VarManager::Instance(0)->var_mem_max_size_, floor(1024UL * 1024UL * 1024UL * (5.0f / 32.0f)));
  45. EXPECT_EQ(ret, SUCCESS);
  46. }
  47. TEST_F(UtestGraphVarManagerTest, test_set_memory_malloc_size_with_user_specify_var_mem_max_size) {
  48. const map<string, string> options{{"ge.variableMemoryMaxSize", "536870912"}};
  49. Status ret = VarManager::Instance(0)->SetMemoryMallocSize(options, 1024UL * 1024UL * 1024UL);
  50. EXPECT_EQ(VarManager::Instance(0)->graph_mem_max_size_, floor(1024UL * 1024UL * 1024UL * (26.0f / 32.0f)));
  51. EXPECT_EQ(VarManager::Instance(0)->var_mem_max_size_, floor(1024UL * 1024UL * 1024UL / 2));
  52. EXPECT_EQ(ret, SUCCESS);
  53. }
  54. TEST_F(UtestGraphVarManagerTest, test_mem_manager_not_set) {
  55. EXPECT_EQ(VarManager::Instance(0)->Init(0, 0, 0, 0), SUCCESS);
  56. EXPECT_EQ(VarManager::Instance(0)->MallocVarMemory(1024), FAILED);
  57. EXPECT_EQ(VarManager::Instance(0)->GetVarMemoryBase(RT_MEMORY_RDMA_HBM), nullptr);
  58. EXPECT_EQ(VarManager::Instance(0)->GetVarMemoryAddr(nullptr, RT_MEMORY_RDMA_HBM), nullptr);
  59. GeTensorDesc tensor_desc;
  60. EXPECT_EQ(VarManager::Instance(0)->AssignVarMem("global_step", tensor_desc, RT_MEMORY_RDMA_HBM), INTERNAL_ERROR);
  61. }
  62. TEST_F(UtestGraphVarManagerTest, test_with_mem_manager) {
  63. const std::vector<rtMemType_t> memory_types({RT_MEMORY_HBM, RT_MEMORY_P2P_DDR});
  64. EXPECT_EQ(MemManager::Instance().Initialize(memory_types), SUCCESS);
  65. VarManager::Instance(0)->SetMemManager(&MemManager::Instance());
  66. EXPECT_EQ(VarManager::Instance(0)->Init(0, 0, 0, 0), SUCCESS);
  67. EXPECT_EQ(VarManager::Instance(0)->MallocVarMemory(1024), SUCCESS);
  68. EXPECT_EQ(VarManager::Instance(0)->GetVarMemoryBase(RT_MEMORY_RDMA_HBM), nullptr);
  69. uint8_t logic_addr = 0;
  70. EXPECT_EQ(VarManager::Instance(0)->GetVarMemoryAddr(&logic_addr, RT_MEMORY_RDMA_HBM), &logic_addr);
  71. EXPECT_NE(VarManager::Instance(0)->GetVarMemoryAddr(&logic_addr, RT_MEMORY_HBM), nullptr);
  72. // RdmaPoolAllocator block_bin_ not found.
  73. GeTensorDesc tensor_desc;
  74. EXPECT_EQ(VarManager::Instance(0)->AssignVarMem("global_step", tensor_desc, RT_MEMORY_RDMA_HBM), INTERNAL_ERROR);
  75. }
  76. } // 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