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enter_pass.cc 5.7 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. #include "graph/passes/enter_pass.h"
  17. #include "graph/debug/ge_attr_define.h"
  18. #include "framework/common/debug/ge_log.h"
  19. #include "framework/common/debug/log.h"
  20. #include "graph/utils/graph_utils.h"
  21. namespace {
  22. const size_t kOutNodesNum = 1;
  23. const size_t kInCtrlNodesNum = 1;
  24. }
  25. namespace ge {
  26. Status EnterPass::Run(NodePtr &node) {
  27. GELOGD("EnterPass running");
  28. GE_CHECK_NOTNULL(node);
  29. if ((node->GetType() != ENTER) && (node->GetType() != REFENTER)) {
  30. return SUCCESS;
  31. }
  32. // enter node has only one input
  33. if (node->GetInDataNodes().empty()) {
  34. REPORT_INNER_ERROR("E19999", "Param node in data nodes is empty, check invalid");
  35. GELOGE(PARAM_INVALID, "enter_node %s has no input", node->GetName().c_str());
  36. return PARAM_INVALID;
  37. }
  38. NodePtr in_node = node->GetInDataNodes().at(0);
  39. GE_CHECK_NOTNULL(in_node);
  40. if ((in_node->GetType() != CONSTANT) && (in_node->GetType() != CONSTANTOP)) {
  41. return SUCCESS;
  42. }
  43. bool need_remove_flag = in_node->GetInControlNodes().empty() && node->GetInControlNodes().empty();
  44. if (!need_remove_flag) {
  45. return SUCCESS;
  46. }
  47. if (node->GetOutDataNodes().empty()) {
  48. for (auto &out_ctrl_node : node->GetOutControlNodes()) {
  49. if (out_ctrl_node == nullptr) {
  50. continue;
  51. }
  52. GELOGI("Remove control edge from %s to %s.", node->GetName().c_str(), out_ctrl_node->GetName().c_str());
  53. if (GraphUtils::RemoveEdge(node->GetOutControlAnchor(), out_ctrl_node->GetInControlAnchor()) != GRAPH_SUCCESS) {
  54. REPORT_CALL_ERROR("E19999", "Remove control edge between op:%s(%s) and op:%s(%s) failed",
  55. node->GetName().c_str(), node->GetType().c_str(),
  56. out_ctrl_node->GetName().c_str(), out_ctrl_node->GetType().c_str());
  57. GELOGE(FAILED, "Remove Enter ctrl output fail, %s->%s", node->GetName().c_str(),
  58. out_ctrl_node->GetName().c_str());
  59. return FAILED;
  60. }
  61. }
  62. } else {
  63. if (OptimizeEnterWithOnlyDataOut(node, in_node) != SUCCESS) {
  64. GELOGE(FAILED, "Optimize enter node[%s] with only out data node failed.", node->GetName().c_str());
  65. return FAILED;
  66. }
  67. if (UnlinkCtrlEdgeBeforeConst(node) != SUCCESS) {
  68. GELOGE(FAILED, "Unlink control edge before const of node[%s]'s out nodes failed.", node->GetName().c_str());
  69. return FAILED;
  70. }
  71. }
  72. GELOGD("EnterPass success");
  73. return SUCCESS;
  74. }
  75. Status EnterPass::OptimizeEnterWithOnlyDataOut(NodePtr &node, NodePtr &in_node) {
  76. if ((in_node->GetOutAllNodes().size() != kOutNodesNum) || !node->GetOutControlNodes().empty()) {
  77. return SUCCESS;
  78. }
  79. bool is_constant_flag = true;
  80. (void)AttrUtils::GetBool(node->GetOpDesc(), ENTER_ATTR_CONSTANT_FLAG, is_constant_flag);
  81. if (!is_constant_flag) {
  82. return SUCCESS;
  83. }
  84. GE_CHECK_NOTNULL(in_node->GetOutDataAnchor(0));
  85. GE_CHK_GRAPH_STATUS_RET(in_node->GetOutDataAnchor(0)->Unlink(node->GetInDataAnchor(0)))
  86. const auto &out_data_anchor = node->GetOutDataAnchor(0);
  87. GE_CHECK_NOTNULL(out_data_anchor);
  88. for (const auto &peer_in_data_anchor : out_data_anchor->GetPeerInDataAnchors()) {
  89. GE_CHK_GRAPH_STATUS_RET(out_data_anchor->Unlink(peer_in_data_anchor))
  90. GE_CHK_GRAPH_STATUS_RET(in_node->GetOutDataAnchor(0)->LinkTo(peer_in_data_anchor))
  91. }
  92. GE_CHK_GRAPH_STATUS_RET(GraphUtils::RemoveNodeWithoutRelink(node->GetOwnerComputeGraph(), node))
  93. AddNodeDeleted(node);
  94. AddRePassNodesWithInOut(in_node);
  95. return SUCCESS;
  96. }
  97. Status EnterPass::UnlinkCtrlEdgeBeforeConst(NodePtr &node) {
  98. auto out_ctrl_nodes = node->GetOutControlNodes();
  99. if (out_ctrl_nodes.empty()) {
  100. return SUCCESS;
  101. }
  102. auto out_ctrl_anchor = node->GetOutControlAnchor();
  103. GE_CHECK_NOTNULL(out_ctrl_anchor);
  104. for (auto &out_ctrl_node : out_ctrl_nodes) {
  105. GE_CHECK_NOTNULL(out_ctrl_node);
  106. if ((out_ctrl_node->GetType() != CONSTANT) && (out_ctrl_node->GetType() != CONSTANTOP)) {
  107. continue;
  108. }
  109. auto in_ctrl_nodes = out_ctrl_node->GetInControlNodes();
  110. if (in_ctrl_nodes.size() != kInCtrlNodesNum) {
  111. continue;
  112. }
  113. // Skip when has merge out
  114. bool has_merge_out = false;
  115. auto out_nodes_of_const = out_ctrl_node->GetOutAllNodes();
  116. for (const auto &out_node_of_const : out_nodes_of_const) {
  117. GE_CHECK_NOTNULL(out_node_of_const);
  118. if (out_node_of_const->GetType() == MERGE || out_node_of_const->GetType() == REFMERGE) {
  119. has_merge_out = true;
  120. break;
  121. }
  122. }
  123. if (has_merge_out) {
  124. continue;
  125. }
  126. GELOGI("Unlink control edge from %s to %s.", node->GetName().c_str(), out_ctrl_node->GetName().c_str());
  127. GE_CHK_GRAPH_STATUS_RET(out_ctrl_anchor->Unlink(out_ctrl_node->GetInControlAnchor()))
  128. for (auto &out_node_of_const : out_nodes_of_const) {
  129. if (!out_ctrl_anchor->IsLinkedWith(out_node_of_const->GetInControlAnchor())) {
  130. GELOGI("Link control edge from %s to %s.", node->GetName().c_str(), out_node_of_const->GetName().c_str());
  131. GE_CHK_GRAPH_STATUS_RET(out_ctrl_anchor->LinkTo(out_node_of_const->GetInControlAnchor()))
  132. }
  133. }
  134. }
  135. return SUCCESS;
  136. }
  137. } // 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