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graph_mem_assigner_unittest.cc 3.2 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. #include <memory>
  18. #include "graph/anchor.h"
  19. #include "graph/attr_value.h"
  20. #include "graph/debug/ge_attr_define.h"
  21. #include "graph/utils/graph_utils.h"
  22. #include "graph/utils/node_utils.h"
  23. #include "graph/utils/op_desc_utils.h"
  24. #include "graph/utils/tensor_utils.h"
  25. #include "omg/omg_inner_types.h"
  26. #include "../passes/graph_builder_utils.h"
  27. #define protected public
  28. #define private public
  29. #include "graph/build/memory/binary_block_mem_assigner.h"
  30. #include "graph/build/memory/graph_mem_assigner_unittest.h"
  31. #include "graph/build/memory/hybrid_mem_assigner.h"
  32. #include "graph/build/memory/max_block_mem_assigner.h"
  33. #include "graph/manager/graph_var_manager.h"
  34. #undef protected
  35. #undef private
  36. using namespace std;
  37. using namespace testing;
  38. using namespace ge;
  39. using domi::GetContext;
  40. class UtestTaskGeneratorTest : public testing::Test {
  41. public:
  42. ge::ComputeGraphPtr BuildGraphWithVar(int64_t session_id) {
  43. // init
  44. MemManager::Instance().Initialize(std::vector<rtMemType_t>({RT_MEMORY_HBM}));
  45. VarManager::Instance(session_id)->Init(0, 0, 0, 0);
  46. ge::ut::GraphBuilder builder("graph");
  47. auto var_input = builder.AddNode("var", "Variable", 1, 1);
  48. auto const_input = builder.AddNode("const", "Const", 1, 1);
  49. auto assign = builder.AddNode("assgin", "Assign", 2, 1);
  50. // add link
  51. builder.AddDataEdge(var_input, 0, assign, 0);
  52. builder.AddDataEdge(const_input, 0, assign, 1);
  53. // set offset
  54. var_input->GetOpDesc()->SetOutputOffset({10000});
  55. const_input->GetOpDesc()->SetOutputOffset({1000});
  56. assign->GetOpDesc()->SetInputOffset({10100, 1000});
  57. assign->GetOpDesc()->SetOutputOffset({10100});
  58. // set inner offset
  59. int64_t inner_offset = 100;
  60. ge::AttrUtils::SetInt(assign->GetOpDesc()->MutableInputDesc(0), ATTR_NAME_INNER_OFFSET, inner_offset);
  61. ge::AttrUtils::SetInt(assign->GetOpDesc()->MutableOutputDesc(0), ATTR_NAME_INNER_OFFSET, inner_offset);
  62. // add var addr
  63. VarManager::Instance(session_id)->var_resource_->var_offset_map_.emplace(10000, RT_MEMORY_HBM);
  64. return builder.GetGraph();
  65. }
  66. protected:
  67. void SetUp() {}
  68. void TearDown() {}
  69. };
  70. TEST_F(UtestMemoryAssignerTest, graph_memory_assign_continuous_input) {
  71. ge::ComputeGraphPtr compute_graph = make_shared<ge::ComputeGraph>("");
  72. GraphMemoryAssigner graph_mem_assigner(compute_graph);
  73. map<uint64_t, size_t> mem_type_to_offset = {};
  74. Status ret = ReAssignMemory(false, mem_type_to_offset);
  75. EXPECT_EQ(ret, ge::FAILED);
  76. }

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