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graph_mem_assigner.h 7.2 kB

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  1. /**
  2. * Copyright 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. #ifndef GE_GRAPH_BUILD_MEMORY_GRAPH_MEM_ASSIGNER_H_
  17. #define GE_GRAPH_BUILD_MEMORY_GRAPH_MEM_ASSIGNER_H_
  18. #include <iostream>
  19. #include <map>
  20. #include <memory>
  21. #include <string>
  22. #include <utility>
  23. #include <vector>
  24. #include "framework/common/ge_inner_error_codes.h"
  25. #include "graph/node.h"
  26. #include "runtime/mem.h"
  27. #include "graph/build/memory/hybrid_mem_assigner.h"
  28. namespace ge {
  29. struct MemoryOffset {
  30. MemoryOffset(rtMemType_t mem_type, size_t mem_offset) : mem_type_(mem_type), mem_offset_(mem_offset) {}
  31. public:
  32. rtMemType_t mem_type_;
  33. size_t mem_offset_;
  34. };
  35. using MemoryOffsetMap = std::map<int64_t, MemoryOffset>;
  36. class VariableMemoryAssigner {
  37. public:
  38. explicit VariableMemoryAssigner(ge::ComputeGraphPtr compute_graph) : compute_graph_(std::move(compute_graph)) {}
  39. VariableMemoryAssigner(const VariableMemoryAssigner &) = delete;
  40. VariableMemoryAssigner &operator=(const VariableMemoryAssigner &) = delete;
  41. virtual ~VariableMemoryAssigner() = default;
  42. ///
  43. /// @ingroup ge_graph
  44. /// @brief assign memory offset
  45. /// @return Status result of function
  46. ///
  47. ge::Status Assign();
  48. ///
  49. /// @ingroup ge_graph
  50. /// @brief assign variable attr to nodes
  51. /// @return Status result of function
  52. ///
  53. ge::Status AssignVarAttr2Nodes();
  54. private:
  55. ge::ComputeGraphPtr compute_graph_;
  56. };
  57. using VariableMemoryAssignerPtr = std::shared_ptr<VariableMemoryAssigner>;
  58. using BlockMemAssignerPtr = std::shared_ptr<BlockMemAssigner>;
  59. using HybridMemAssignerPtr = std::shared_ptr<HybridMemAssigner>;
  60. class GraphMemoryAssigner {
  61. public:
  62. explicit GraphMemoryAssigner(ge::ComputeGraphPtr compute_graph)
  63. : compute_graph_(std::move(compute_graph)),
  64. mem_assigner_(nullptr) {}
  65. GraphMemoryAssigner(const GraphMemoryAssigner &) = delete;
  66. GraphMemoryAssigner &operator=(const GraphMemoryAssigner &) = delete;
  67. virtual ~GraphMemoryAssigner() = default;
  68. ///
  69. /// @ingroup ge_graph
  70. /// @brief assign memory offset
  71. /// @return Status result of function
  72. ///
  73. ge::Status AssignMemory();
  74. ///
  75. /// @ingroup ge_graph
  76. /// @brief assign variable attr to nodes,
  77. /// must be called after all memory assigned.
  78. /// @return Status result of function
  79. ///
  80. ge::Status AssignVarAttr2Nodes();
  81. ge::Status ReAssignMemory(bool is_loop_graph, map<int64_t, size_t> &mem_type_to_offset);
  82. ge::Status AssignZeroCopyMemory(map<int64_t, size_t> &mem_offset, size_t &zero_mem_copy_size);
  83. ge::Status SetInputOffset();
  84. ge::Status UpdateOpInputOffset(const NodePtr &node) const;
  85. ge::Status CheckOffset();
  86. ge::Status AssignReferenceMemory();
  87. private:
  88. ///
  89. /// @ingroup ge_graph
  90. /// @brief assign memory offset
  91. /// @return Status result of function
  92. ///
  93. ge::Status ReAssignContinuousMemory(bool is_loop_graph);
  94. ge::Status ReAssignReuseAndNoPaddingContinuousInputMemory();
  95. ge::Status ReAssignReuseAndNoPaddingContinuousOutputMemory();
  96. ge::Status ReAssignVirtualInputNodeMemory(NodePtr node, size_t &mem_offset_reuse);
  97. ge::Status ReAssignVirtualOutputNodeMemory(NodePtr node, size_t &mem_offset_reuse);
  98. ge::Status ReAssignVirtualNodesMemory(map<string, vector<NodePtr>> &mem_reuse_nodes_map, int32_t mem_reuse_model);
  99. ge::Status GetMaxBatchLabel(const map<string, vector<NodePtr>> &mem_reuse_virtual_nodes_map,
  100. int32_t mem_reuse_model, string &max_batch_label);
  101. ge::Status CalculateTensorRealSizeAndOutSize(const ge::ConstGeTensorDescPtr &output_desc, int64_t dim_index,
  102. int64_t &output_mem_size, int64_t &batch_dim_num, int64_t &out_size);
  103. ge::Status ReAssignAtomicMemory(bool is_loop_graph);
  104. ge::Status FilterAtomicNodesForMemoryAssign(map<string, map<NodePtr, vector<NodePtr>>> &normal_atomic_nodes_map,
  105. map<string, vector<NodePtr>> &connecting_output_atomic_nodes);
  106. ge::Status AssignContinuousInputMemory(const ge::NodePtr &node, int64_t &continuous_mem_start,
  107. int64_t &continuous_mem_size, int64_t memory_type);
  108. ge::Status AssignContinuousOutputMemory(const ge::NodePtr &node);
  109. ///
  110. /// @brief check the input of node whether support atomic attr
  111. /// @param node
  112. /// @return true:supported; false:not supported
  113. ///
  114. bool CheckInputIsSupportAtomic(const ge::NodePtr &node);
  115. ge::Status GetMemoryAssignmentStatus(const ge::NodePtr &node, int64_t output_index, bool &is_mem_assigned);
  116. ge::Status AssignAtomicOutputMemory(const ge::NodePtr &node, std::vector<int64_t> &mem_offset_end);
  117. ge::Status AssignOrdinaryAtomicWorkspaceMemory(const ge::OpDescPtr &op_desc,
  118. std::map<std::string, std::map<int64_t, int64_t>> &workspace_info,
  119. std::vector<int64_t> &mem_offset_end);
  120. ge::Status AssignFusionAtomicWorkspaceMemory(const ge::OpDescPtr &op_desc,
  121. std::map<std::string, std::map<int64_t, int64_t>> &workspace_info,
  122. std::vector<int64_t> &mem_offset_end);
  123. ge::Status AssignAtomicOutputAndWorkspaceMemory(const ge::NodePtr &node, std::vector<int64_t> &mem_offset_end);
  124. ge::Status AssignConnectNetOutputAtomicMemory(vector<NodePtr> &connect_netoutput_nodes);
  125. ge::Status SetIndependentAtomicAttr(const ge::NodePtr &node, int64_t atomic_mem_start,
  126. const std::vector<int64_t> &mem_offset_end);
  127. ge::Status SetAtomicCleanAttr(const ge::NodePtr &node, const std::vector<int64_t> &atomic_mem_start,
  128. const std::vector<int64_t> &atomic_mem_size);
  129. ge::Status IsIndependentAtomicClean(const ge::NodePtr &node, bool &is_independent_atomic_clean_node);
  130. void AlignMemOffset(const int64_t &mem_align_size, int64_t memory_type);
  131. ge::Status UpdateOpInputOffset(const NodePtr &node, vector<int64_t> &input_list) const;
  132. ge::Status UpdateConstArgsOffset(const NodePtr &node, vector<int64_t> &input_list) const;
  133. NodePtr GetKnownInputNode(const NodePtr &node) const;
  134. ge::Status GetNodeMemoryType(const NodePtr &node, int64_t &memory_type, string input_or_output);
  135. ge::Status GetNodeListMemoryType(const vector<NodePtr> &nodes, int32_t mem_reuse_model, int64_t &memory_type);
  136. bool CheckContinuousMemType(vector<int64_t> mem_type_list);
  137. void PrintMemoryOffset();
  138. MemoryOffsetMap memory_offset_;
  139. ge::ComputeGraphPtr compute_graph_;
  140. HybridMemAssignerPtr mem_assigner_;
  141. };
  142. } // namespace ge
  143. #endif // GE_GRAPH_BUILD_MEMORY_GRAPH_MEM_ASSIGNER_H_

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