/** * Copyright 2020 Huawei Technologies Co., Ltd * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #include "graph/preprocess/multi_batch_copy_graph.h" #include #include #include #include "common/formats/utils/formats_trans_utils.h" #include "common/ge/ge_util.h" #include "common/util/error_manager/error_manager.h" #include "framework/common/debug/ge_log.h" #include "framework/common/ge_inner_error_codes.h" #include "framework/common/string_util.h" #include "framework/common/types.h" #include "framework/omg/omg_inner_types.h" #include "graph/debug/ge_attr_define.h" #include "graph/ge_context.h" #include "graph/passes/multi_batch_clone_pass.h" #include "graph/passes/prune_pass.h" #include "graph/preprocess/multi_batch_options.h" #include "graph/utils/attr_utils.h" #include "graph/utils/graph_utils.h" #include "graph/utils/node_utils.h" #include "graph/utils/tensor_utils.h" #include "graph/utils/type_utils.h" #include "inc/pass_manager.h" #include "graph/common/local_context.h" using std::set; using std::string; using std::vector; namespace ge { namespace multibatch { namespace { const char *const kMbatchSwitchnName = "mbatch-switch-name"; const int kSwitchNDataIndex = 0; const int kSwitchNPredIndex = 1; const int kDataOutIndex = 0; const int kDataInIndex = 0; const int kMergeDataOutIndex = 0; const int kStaticOutput = -1; inline bool IsDataLikeType(const std::string &node_type) { return (node_type == DATA) || (node_type == AIPP); } NodePtr InsertMergeNodeToGraph(const std::string &name, size_t input_num, const ComputeGraphPtr &graph) { OpDescPtr desc = MakeShared(); if (desc == nullptr) { GELOGE(OUT_OF_MEMORY, "Failed to insert merge node, name %s", name.c_str()); return nullptr; } desc->SetName(name); desc->SetType(MERGE); GeTensorDesc tensor_desc; for (size_t i = 0; i < input_num; ++i) { auto ret = desc->AddInputDesc("x" + std::to_string(i), tensor_desc); GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS, GELOGE(INTERNAL_ERROR, "Failed to create merge node %s, failed to add input %zu, error-code %u", name.c_str(), i, ret); return nullptr); } auto ret = desc->AddOutputDesc("y", tensor_desc); GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS, GELOGE(INTERNAL_ERROR, "Failed to create merge node %s, failed to add output 'y', error-code %u", name.c_str(), ret); return nullptr); tensor_desc.SetDataType(DT_INT32); ret = desc->AddOutputDesc("value_index", tensor_desc); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to create merge node %s, failed to add output 'value_index', error-code %u", name.c_str(), ret); return nullptr; } if (!AttrUtils::SetBool(desc, ATTR_INSERT_BY_MBATCH, true)) { GELOGE(INTERNAL_ERROR, "Failed to create merge node %s, failed to add attr", name.c_str()); return nullptr; } return graph->AddNode(desc); } NodePtr InsertCopyNode(const NodePtr &node, size_t n) { const std::string &name = node->GetName() + "_ascend_mbatch_batch_" + std::to_string(n); auto src_op_desc = node->GetOpDesc(); GE_IF_BOOL_EXEC(src_op_desc == nullptr, GELOGE(INTERNAL_ERROR, "Failed to copy node %s to %s, the OpDesc is null", node->GetName().c_str(), name.c_str()); return nullptr); auto desc = AttrUtils::CopyOpDesc(src_op_desc); GE_IF_BOOL_EXEC(desc == nullptr, GELOGE(OUT_OF_MEMORY, "Failed to create op desc for copy node for node %s name %s", node->GetName().c_str(), name.c_str()); return nullptr); desc->SetName(name); desc->CopyAttrsFrom(*src_op_desc); for (uint32_t i = 0; i < node->GetAllInDataAnchorsSize(); ++i) { auto input_desc = desc->MutableInputDesc(i); GE_IF_BOOL_EXEC(input_desc == nullptr, GELOGW("Get null input desc by index %u from node %s when copy from %s", i, desc->GetName().c_str(), node->GetName().c_str()); continue); input_desc->CopyAttrsFrom(src_op_desc->GetInputDesc(i)); } for (uint32_t i = 0; i < node->GetAllOutDataAnchorsSize(); ++i) { auto output_desc = desc->MutableOutputDesc(i); GE_IF_BOOL_EXEC(output_desc == nullptr, GELOGE(INTERNAL_ERROR, "Failed to get output desc by index %u from node %s when copy from %s", i, desc->GetName().c_str(), node->GetName().c_str()); return nullptr); output_desc->CopyAttrsFrom(src_op_desc->GetOutputDesc(i)); } const std::string &batch_label = "Batch_" + std::to_string(n); if (!AttrUtils::SetStr(desc, ATTR_NAME_BATCH_LABEL, batch_label)) { GELOGE(FAILED, "set attr ATTR_NAME_BATCH_LABEL failed, node:%s.", name.c_str()); return nullptr; } (void)AttrUtils::SetListStr(desc, ATTR_NAME_DATA_DUMP_ORIGIN_OP_NAMES, {node->GetName()}); auto graph = node->GetOwnerComputeGraph(); return graph->AddNode(desc); } bool IsAllDimsPositive(const std::vector &dims) { for (auto dim : dims) { if (dim < 0) { return false; } } return true; } NodePtr InsertConst(const std::string &name, const ComputeGraphPtr &graph) { auto desc = MakeShared(); if (desc == nullptr) { GELOGE(OUT_OF_MEMORY, "Failed to create const op %s, out of memory", name.c_str()); return nullptr; } desc->SetName(name); desc->SetType(CONSTANT); GeTensor tensor; tensor.SetData(std::vector({0})); if (!AttrUtils::SetTensor(desc, ATTR_NAME_WEIGHTS, tensor)) { GELOGE(OUT_OF_MEMORY, "Failed to init tensor value for const %s", name.c_str()); return nullptr; } if (!AttrUtils::SetBool(desc, ATTR_INSERT_BY_MBATCH, true)) { GELOGE(OUT_OF_MEMORY, "Failed to set insert flag for const node %s", name.c_str()); return nullptr; } if (desc->AddOutputDesc(GeTensorDesc()) != GRAPH_SUCCESS) { GELOGE(OUT_OF_MEMORY, "Failed to add output desc for const node %s", name.c_str()); return nullptr; } return graph->AddNode(desc); } bool IsOnlyOutputToAipp(const NodePtr &node) { for (const auto &out_node : node->GetOutDataNodes()) { if (out_node->GetType() != AIPP) { return false; } } return true; } Status CheckDataShape(const std::vector &nodes) { size_t unknown_shape_count = 0; for (const auto &node : nodes) { if (node->GetType() != DATA) { continue; } for (auto dim : NodeUtils::GetOutputDesc(*node, kDataOutIndex).GetShape().GetDims()) { if (dim < 0) { unknown_shape_count++; break; } } } if (unknown_shape_count == 0) { ErrorManager::GetInstance().ATCReportErrMessage("E10040"); GELOGE(PARAM_INVALID, "Need unknow shape data when user set --dynamic_batch_size, --dynamic_image_size or --dynamic_dims"); return PARAM_INVALID; } return SUCCESS; } } // namespace Status MultiBatchGraphCopyer::CopyGraph() { auto ret = Init(); if (ret != SUCCESS) { return ret; } if (LabelStatus() != SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to label status for all nodes."); return INTERNAL_ERROR; } ret = CheckAndParseDynamicData(); if (ret != SUCCESS) { return ret; } ret = CreateNewNodes(); if (ret != SUCCESS) { return ret; } ret = LinkEdges(); if (ret != SUCCESS) { return ret; } ret = InsertIdentityAfterSwitchN(); if (ret != SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to insert identity nodes after switchn node."); return INTERNAL_ERROR; } GELOGI("Begin to remove useless nodes by prune pass after copy process"); PrunePass prune_pass; ret = prune_pass.Run(graph_); if (ret != SUCCESS) { GELOGE(ret, "Failed to prune"); return ret; } return CheckCopyResult(origin_data_nodes_); } Status MultiBatchGraphCopyer::Init() { auto ret = CheckArguments(); if (ret != SUCCESS) { return ret; } for (auto &node : graph_->GetAllNodes()) { origin_all_nodes_.emplace_back(node); if (IsDataLikeType(node->GetType())) { origin_data_nodes_.emplace_back(node); } } return SUCCESS; } Status MultiBatchGraphCopyer::LabelStatus() { for (const auto &data : origin_data_nodes_) { auto data_shape = NodeUtils::GetOutputDesc(*data, kDataOutIndex).GetShape(); if (!IsAllDimsPositive(data_shape.GetDims())) { origin_nodes_status_[data.get()] = kNodeInBatchBranch; } } bool changed = true; // If anyone of in node is kNodeInBatchBranch, it is also kNodeInBatchBranch while (changed) { changed = false; for (const auto &node : origin_all_nodes_) { auto iter = origin_nodes_status_.find(node.get()); if (iter != origin_nodes_status_.end()) { continue; } for (auto &in_node : node->GetInAllNodes()) { bool is_in_batch = origin_nodes_status_.find(in_node.get()) != origin_nodes_status_.end() && origin_nodes_status_[in_node.get()] == kNodeInBatchBranch; if (is_in_batch) { origin_nodes_status_[node.get()] = kNodeInBatchBranch; changed = true; break; } } } } for (const auto &node : origin_all_nodes_) { if (!(node->GetOpDesc()->GetSubgraphInstanceNames().empty())) { origin_nodes_status_[node.get()] = kNodeNotSupportNode; continue; } if (node->GetType() == NETOUTPUT) { origin_nodes_status_[node.get()] = kNodeOutBatchBranch; continue; } if (IsDataLikeType(node->GetType())) { if (IsOnlyOutputToAipp(node)) { origin_nodes_status_[node.get()] = kNodeOutBatchBranch; } else { origin_nodes_status_[node.get()] = kNodeStartNode; } continue; } if (origin_nodes_status_.find(node.get()) == origin_nodes_status_.end()) { origin_nodes_status_[node.get()] = kNodeOutBatchBranch; } } return SUCCESS; } Status MultiBatchGraphCopyer::CheckAndParseDynamicData(){ size_t unknown_shape_count = 0; auto data_name_and_shape = GetLocalOmgContext().user_input_dims; GELOGD("raw data_name_and_shape size: %zu", data_name_and_shape.size()); for (const auto &node : origin_all_nodes_) { auto data_desc = NodeUtils::GetOutputDesc(*node, kDataOutIndex); auto data_shape = data_desc.GetShape(); auto data_format = data_desc.GetFormat() == Format::FORMAT_NCHW ? "NCHW" : data_desc.GetFormat() == Format::FORMAT_NHWC ? "NHWC" : "Others"; auto data_name = node->GetName(); auto branch_status = GetNodeStatus(node); if (branch_status != kNodeStartNode) { continue; } if (IsAllDimsPositive(data_shape.GetDims())) { continue; } ++unknown_shape_count; auto iter = find(data_name_order_.begin(), data_name_order_.end(), data_name); if (iter == data_name_order_.end()) { if (dynamic_type_ == DynamicType::kDynamicBatch) { auto ret = CheckDynamicBatchShape(data_shape.GetDims(), data_name); if (!ret) { return PARAM_INVALID; } } else if (dynamic_type_ == DynamicType::kDynamicImageSize) { auto ret = CheckDynamicImageSizeShape(data_shape.GetDims(), data_name, data_format); if (!ret) { return PARAM_INVALID; } } else if (dynamic_type_ == DynamicType::kDynamicDims) { ErrorManager::GetInstance().ATCReportErrMessage("E10001", {"parameter", "reason"}, {"--input_shape", "all dynamic data must be set in --input_shape"}); GELOGE(INTERNAL_ERROR, "data: %s shape:%s must be set int --input_shape", node->GetName().c_str(), data_shape.ToString().c_str()); return INTERNAL_ERROR; } data_name_and_shape.emplace_back(data_name, data_shape.GetDims()); } } auto ret = ParserDataToDynmaicInfo(shapes_, data_name_and_shape, data_to_dynamic_info_); if (ret != SUCCESS){ return ret; } if (unknown_shape_count == 0) { ErrorManager::GetInstance().ATCReportErrMessage("E10040"); GELOGE(PARAM_INVALID, "Need unknow shape data when user set --dynamic_batch_size, --dynamic_image_size or --dynamic_dims"); return PARAM_INVALID; } return SUCCESS; } Status MultiBatchGraphCopyer::CreateNewNodes() { shape_data_ = InsertShapeDataNode(); if (shape_data_ == nullptr) { GELOGE(INTERNAL_ERROR, "Failed to create the shape data node for muti-batch"); return INTERNAL_ERROR; } for (const auto &node : origin_all_nodes_) { auto node_type = node->GetType(); Status ret = INTERNAL_ERROR; auto branch_status = GetNodeStatus(node); GELOGD("Process node %s, status %d", node->GetName().c_str(), static_cast(branch_status)); switch (branch_status) { case kNodeStartNode: GELOGD("Name: %s, type: %s, status: kNodeStartNode.", node->GetName().c_str(), node->GetType().c_str()); ret = InsertSwitchNForData(node); if (ret == SUCCESS) { ret = UpdateMaxShapeToData(node); } break; case kNodeInBatchBranch: GELOGD("Name: %s, type: %s, status: kNodeInBatchBranch.", node->GetName().c_str(), node->GetType().c_str()); ret = CopyNodeInBatchBranch(node); break; case kNodeOutBatchBranch: GELOGD("Name: %s, type: %s, status: kNodeOutBatchBranch.", node->GetName().c_str(), node->GetType().c_str()); ret = InsertMergeForEdgeNode(node); break; case kNodeNotSupportNode: GELOGD("Name: %s, type: %s, status: kNodeNotSupportNode.", node->GetName().c_str(), node->GetType().c_str()); break; default: GELOGE(INTERNAL_ERROR, "Unexpected status %d on node %s", static_cast(branch_status), node->GetName().c_str()); break; } if (ret != SUCCESS) { GELOGE(ret, "Failed to deal with node %s in multi-batch process", node->GetName().c_str()); return ret; } } return SUCCESS; } NodePtr MultiBatchGraphCopyer::InsertMergeNode(const NodePtr &node, int index) { if (index < 0) { // the merge node must has data inputs, if origin connection is a control // edge, we use data edge instead index = 0; } auto &merge_nodes = nodes_to_merge_nodes_[node.get()]; if (merge_nodes.empty()) { auto count = node->GetAllOutDataAnchorsSize(); if (count == 0) { count = 1; } merge_nodes.resize(count, nullptr); } if (merge_nodes.at(index) != nullptr) { return merge_nodes[index]; } auto merge_node_name = node->GetName() + "_ascend_mbatch_merge_" + std::to_string(index); auto merge_node = InsertMergeNodeToGraph(merge_node_name, shapes_.size(), node->GetOwnerComputeGraph()); GE_IF_BOOL_EXEC(merge_node == nullptr, GELOGE(INTERNAL_ERROR, "Failed to create merge node for node %s, out index %d", node->GetName().c_str(), index); return nullptr); merge_nodes[index] = merge_node; GELOGI("Create merge node %s for node %s index %d", merge_node_name.c_str(), node->GetName().c_str(), index); return merge_node; } Status MultiBatchGraphCopyer::CopyInDataEdges(const NodePtr &origin_node, int batch_num, const NodePtr ©ed_node) { for (auto &in_anchor : origin_node->GetAllInDataAnchors()) { auto origin_src_anchor = in_anchor->GetPeerOutAnchor(); if (origin_src_anchor == nullptr) { GELOGD("The node %s does not have input on index %d", origin_node->GetName().c_str(), in_anchor->GetIdx()); continue; } auto origin_src_node = origin_src_anchor->GetOwnerNode(); auto dst_anchor = copyed_node->GetInDataAnchor(in_anchor->GetIdx()); GE_CHECK_NOTNULL(dst_anchor); auto switchn_iter = data_nodes_to_switchn_.find(origin_src_node.get()); if (switchn_iter != data_nodes_to_switchn_.end()) { auto ret = GraphUtils::AddEdge(switchn_iter->second->GetOutDataAnchor(batch_num), dst_anchor); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to add data edge between %s(%d) to %s(%d), error-code %u", switchn_iter->second->GetName().c_str(), batch_num, copyed_node->GetName().c_str(), in_anchor->GetIdx(), ret); return INTERNAL_ERROR; } GELOGD("Add data edge from %s(%d) to %s(%d)", switchn_iter->second->GetName().c_str(), batch_num, copyed_node->GetName().c_str(), in_anchor->GetIdx()); continue; } auto batch_branch_iter = nodes_to_batch_nodes_.find(origin_src_node.get()); if (batch_branch_iter != nodes_to_batch_nodes_.end()) { auto src_batch_node = batch_branch_iter->second.at(batch_num); auto ret = GraphUtils::AddEdge(src_batch_node->GetOutDataAnchor(origin_src_anchor->GetIdx()), dst_anchor); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to add data edge between %s(%d) to %s(%d), error-code %u", src_batch_node->GetName().c_str(), batch_num, copyed_node->GetName().c_str(), in_anchor->GetIdx(), ret); return INTERNAL_ERROR; } GELOGD("Add data edge from %s(%d) to %s(%d)", src_batch_node->GetName().c_str(), batch_num, copyed_node->GetName().c_str(), in_anchor->GetIdx()); continue; } auto ret = GraphUtils::AddEdge(origin_src_anchor, dst_anchor); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to add data edge between origin node %s(%d) to copyed %s(%d)", origin_src_node->GetName().c_str(), origin_src_anchor->GetIdx(), copyed_node->GetName().c_str(), dst_anchor->GetIdx()); return INTERNAL_ERROR; } GELOGD("Add data edge between branch-out %s(%d) to branch-in %s(%d)", origin_src_node->GetName().c_str(), origin_src_anchor->GetIdx(), copyed_node->GetName().c_str(), dst_anchor->GetIdx()); } return SUCCESS; } Status MultiBatchGraphCopyer::CopyInControlEdges(const NodePtr &node, int batch_num, const NodePtr ©ed_node) { for (auto &origin_src_node : node->GetInControlNodes()) { auto switchn_iter = data_nodes_to_switchn_.find(origin_src_node.get()); if (switchn_iter != data_nodes_to_switchn_.end()) { // reconnect data node auto ret = GraphUtils::AddEdge(switchn_iter->second->GetOutControlAnchor(), copyed_node->GetInControlAnchor()); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to add control edge between %s to %s, error-code %u", switchn_iter->second->GetName().c_str(), copyed_node->GetName().c_str(), ret); return INTERNAL_ERROR; } GELOGD("Add control edge from %s to %s", switchn_iter->second->GetName().c_str(), copyed_node->GetName().c_str()); continue; } auto batch_branch_iter = nodes_to_batch_nodes_.find(origin_src_node.get()); if (batch_branch_iter != nodes_to_batch_nodes_.end()) { // reconnect node in batch branch auto src_batch_node = batch_branch_iter->second.at(batch_num); auto ret = GraphUtils::AddEdge(src_batch_node->GetOutControlAnchor(), copyed_node->GetInControlAnchor()); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to add data edge between %s to %s, error-code %u", src_batch_node->GetName().c_str(), copyed_node->GetName().c_str(), ret); return INTERNAL_ERROR; } GELOGD("Add control edge from %s to %s", src_batch_node->GetName().c_str(), copyed_node->GetName().c_str()); continue; } auto ret = GraphUtils::AddEdge(origin_src_node->GetOutControlAnchor(), copyed_node->GetInControlAnchor()); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to add control edge from origin %s to copyed %s", origin_src_node->GetName().c_str(), copyed_node->GetName().c_str()); return INTERNAL_ERROR; } GELOGD("Add control edge between branch-out %s to branch-in %s", origin_src_node->GetName().c_str(), copyed_node->GetName().c_str()); } return SUCCESS; } NodePtr MultiBatchGraphCopyer::InsertShapeDataNode() { auto desc = MakeShared(); if (desc == nullptr) { GELOGE(OUT_OF_MEMORY, "Failed to create shape data node, out of memory"); return nullptr; } string node_name = "ascend_mbatch_shape_data"; // Only flush subgraph name if (graph_->GetParentGraph() != nullptr) { node_name = graph_->GetName() + "_" + node_name; } desc->SetName(node_name); desc->SetType(DATA); GeTensorDesc tensor_desc; tensor_desc.SetFormat(FORMAT_ND); tensor_desc.SetShape(GeShape({static_cast(shapes_.at(0).size())})); tensor_desc.SetDataType(DT_INT64); auto ret = desc->AddInputDesc(tensor_desc); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to add input desc for created data"); return nullptr; } ret = desc->AddOutputDesc(tensor_desc); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to add output desc for created data"); return nullptr; } if (!AttrUtils::SetBool(desc, ATTR_INSERT_BY_MBATCH, true)) { GELOGE(INTERNAL_ERROR, "Failed to add attr for created data"); return nullptr; } auto data_node = graph_->AddNode(desc); if (data_node == nullptr) { GELOGE(INTERNAL_ERROR, "Failed to add shape data node to graph"); return nullptr; } ret = GraphUtils::AppendInputNode(graph_, data_node); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to append data node %s as input to graph", data_node->GetName().c_str()); return nullptr; } return data_node; } Status MultiBatchGraphCopyer::CheckArguments() { if (graph_ == nullptr) { GELOGE(PARAM_INVALID, "Failed to copy graph, the graph is null"); return PARAM_INVALID; } return CheckDynamicParams(shapes_); } Status MultiBatchGraphCopyer::CheckCopyResult(const std::vector &start_nodes) { for (auto &node : start_nodes) { if (IsOnlyOutputToAipp(node)) { continue; } auto dims = NodeUtils::GetOutputDesc(*node, kDataOutIndex).GetShape().GetDims(); if (!IsAllDimsPositive(dims)) { GELOGE(INTERNAL_ERROR, "Failed to copy multi batch graph, the node %s still has unknown shape %s", node->GetName().c_str(), formats::ShapeToString(dims).c_str()); return INTERNAL_ERROR; } } return SUCCESS; } bool MultiBatchGraphCopyer::IsInBatchBranch(const NodePtr &node) { return (nodes_to_batch_nodes_.count(node.get()) > 0) || (data_nodes_to_switchn_.count(node.get()) > 0); } Status MultiBatchGraphCopyer::LinkDataToMerge(const NodePtr &data, const NodePtr &merge) { // The caller should make sure that the there is a SwitchN node in the map auto &switchn = data_nodes_to_switchn_[data.get()]; GELOGI("Link edge between data %s to merge %s throw switchn %s", data->GetName().c_str(), merge->GetName().c_str(), switchn->GetName().c_str()); for (size_t i = 0; i < shapes_.size(); ++i) { auto ret = GraphUtils::AddEdge(switchn->GetOutDataAnchor(i), merge->GetInDataAnchor(i)); GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS, GELOGE(INTERNAL_ERROR, "Failed to add edge between switchn %s(%zu) to merge %s(%zu), error-code %u", switchn->GetName().c_str(), i, merge->GetName().c_str(), i, ret); return INTERNAL_ERROR); } return SUCCESS; } Status MultiBatchGraphCopyer::LinkNodeToMerge(const NodePtr &node, int out_index, const NodePtr &merge) { auto ©ed_nodes = nodes_to_batch_nodes_[node.get()]; if (copyed_nodes.size() != shapes_.size()) { GELOGE(INTERNAL_ERROR, "Failed to create merge node for node %s, the copyed nodes for it count %zu different with shape %zu", node->GetName().c_str(), copyed_nodes.size(), shapes_.size()); return INTERNAL_ERROR; } for (size_t i = 0; i < copyed_nodes.size(); ++i) { auto src_node = copyed_nodes[i]; if (src_node->GetAllOutDataAnchorsSize() == 0) { // if the node does not has any data output, we should create an const for it, like this: // c d // node ---> const ---> merge auto const_name = src_node->GetName() + "_merge_const"; GELOGI("The node %s on the batch branch edge does not have any data output, create a const %s for it", src_node->GetName().c_str(), const_name.c_str()); auto const_node = InsertConst(const_name, graph_); GE_IF_BOOL_EXEC(const_node == nullptr, GELOGE(OUT_OF_MEMORY, "Failed to create const for node %s to connect to a merge node", src_node->GetName().c_str()); return OUT_OF_MEMORY); auto ret = GraphUtils::AddEdge(src_node->GetOutControlAnchor(), const_node->GetInControlAnchor()); GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS, GELOGE(INTERNAL_ERROR, "Failed to add control edge from %s to %s", src_node->GetName().c_str(), const_node->GetName().c_str()); return INTERNAL_ERROR); src_node = const_node; } auto ret = GraphUtils::AddEdge(src_node->GetOutDataAnchor(out_index), merge->GetInDataAnchor(i)); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to add edge between copyed node %s(%d) to inserted merge node %s(%zu), error-code %u", copyed_nodes[i]->GetName().c_str(), out_index, merge->GetName().c_str(), i, ret); return INTERNAL_ERROR; } } return SUCCESS; } Status MultiBatchGraphCopyer::UpdateMaxShapeToData(const NodePtr &data) { auto data_shape = NodeUtils::GetOutputDesc(*data, kDataOutIndex).GetShape(); auto data_name = data->GetName(); if (IsAllDimsPositive(data_shape.GetDims())) { return SUCCESS; } size_t max_shape_index = 0; int64_t max_size = 0; for (size_t i = 0; i < shapes_.size(); ++i) { int64_t size = 1; for (auto dim : data_to_dynamic_info_.at(data_name).at(i)) { if (INT64_MAX / dim < size) { GELOGE(PARAM_INVALID, "The shape %s size overflow", formats::ShapeToString(data_to_dynamic_info_[data_name].at(i)).c_str()); return PARAM_INVALID; } size *= dim; } if (size > max_size) { max_size = size; max_shape_index = i; } } // must not be error, the calc result has been checked in function InsertSwitchNForData (void)CalcShape(data_to_dynamic_info_.at(data_name).at(max_shape_index), data_shape); auto ret = NodeUtils::UpdateOutputShape(*data, kDataOutIndex, data_shape); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to update output shape for data %s", data->GetName().c_str()); return INTERNAL_ERROR; } ret = NodeUtils::UpdateInputShape(*data, kDataInIndex, data_shape); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to update input shape for data %s", data->GetName().c_str()); return INTERNAL_ERROR; } GELOGI("Update the data %s input/output shape to the max %s", data->GetName().c_str(), formats::ShapeToString(data_shape).c_str()); return SUCCESS; } Status MultiBatchGraphCopyer::InsertSwitchNForData(const NodePtr &data) { auto data_shape = NodeUtils::GetOutputDesc(*data, kDataOutIndex).GetShape(); auto data_name = data->GetName(); (void)AttrUtils::SetListInt(data->GetOpDesc(), ATTR_MBATCH_ORIGIN_INPUT_DIMS, data_shape.GetDims()); if (IsAllDimsPositive(data_shape.GetDims())) { GELOGI("The shape of data %s are positive(%s), skip the multi batch process", data->GetName().c_str(), data_shape.ToString().c_str()); return SUCCESS; } auto switchn_desc = MakeShared(); if (switchn_desc == nullptr) { GELOGE(OUT_OF_MEMORY, "Failed to create switchn for data %s", data->GetName().c_str()); return OUT_OF_MEMORY; } switchn_desc->SetName(data->GetName() + "_ascend_mbatch_switchn"); switchn_desc->SetType(SWITCHN); GeTensorDesc tensor(NodeUtils::GetOutputDesc(*data, kDataOutIndex)); if (switchn_desc->AddInputDesc("data", tensor) != GRAPH_SUCCESS) { // data return OUT_OF_MEMORY; } GeTensorDesc pred_tensor; if (switchn_desc->AddInputDesc("pred_value", pred_tensor) != GRAPH_SUCCESS) { // pred return OUT_OF_MEMORY; } std::vector input_dims_str; for (size_t i = 0; i < shapes_.size(); ++i) { auto shape = data_shape; auto ret = CalcShape(data_to_dynamic_info_.at(data_name).at(i), shape); if (ret != SUCCESS) { GELOGE(ret, "Failed to calculate the batched shape for data node %s, the shapes may not match", data->GetName().c_str()); return ret; } tensor.SetShape(shape); string input_str; int64_t tensor_size = 0; (void)TensorUtils::GetTensorSizeInBytes(tensor, tensor_size); input_str = TypeUtils::FormatToSerialString(tensor.GetFormat()) + ":" + TypeUtils::DataTypeToSerialString(tensor.GetDataType()) + ":" + data->GetName() + ":" + std::to_string(tensor_size) + ":" + std::to_string(tensor.GetShape().GetDimNum()) + ":" + formats::JoinToString(tensor.GetShape().GetDims()); input_dims_str.emplace_back(input_str); if (!AttrUtils::SetListInt(tensor, ATTR_NAME_SWITCHN_PRED_VALUE, shapes_.at(i))) { GELOGE(INTERNAL_ERROR, "Failed to add attr value on output %zu tensor", i); return INTERNAL_ERROR; } (void) AttrUtils::SetListInt(tensor, ATTR_NAME_COMBINED_DYNAMIC_DIMS, shape.GetDims()); if (switchn_desc->AddOutputDesc("output" + std::to_string(i), tensor) != GRAPH_SUCCESS) { GELOGE(GRAPH_FAILED, "Opdesc AddOutputDesc failed"); return GRAPH_FAILED; } GELOGD("The SwitchN %s output index %zu, shape %s", switchn_desc->GetName().c_str(), i, shape.ToString().c_str()); } (void)AttrUtils::SetListStr(data->GetOpDesc(), "_all_origin_gears_inputs", input_dims_str); if (!AttrUtils::SetListStr(switchn_desc, ATTR_USER_DESIGNEATE_SHAPE_ORDER, data_name_order_)) { GELOGE(INTERNAL_ERROR, "Failed to add user designate shape order attr on switchn node %s", switchn_desc->GetName().c_str()); return INTERNAL_ERROR; } if (!AttrUtils::SetBool(switchn_desc, ATTR_INSERT_BY_MBATCH, true)) { GELOGE(INTERNAL_ERROR, "Failed to add insert attr on switchn node %s", switchn_desc->GetName().c_str()); return INTERNAL_ERROR; } if (!AttrUtils::SetStr(data->GetOpDesc(), kMbatchSwitchnName, switchn_desc->GetName())) { GELOGE(INTERNAL_ERROR, "Failed to add switchn attr on data node %s", data->GetName().c_str()); return INTERNAL_ERROR; } if (StampDynamicType(switchn_desc) != SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to add dynamic type attr on switchn node %s", switchn_desc->GetName().c_str()); return INTERNAL_ERROR; } auto switchn = graph_->AddNode(switchn_desc); if (switchn == nullptr) { GELOGE(OUT_OF_MEMORY, "Failed to create switchn %s from desc", switchn_desc->GetName().c_str()); return OUT_OF_MEMORY; } data_nodes_to_switchn_[data.get()] = switchn; return SUCCESS; } Status MultiBatchGraphCopyer::InsertMergeForEdgeNode(const NodePtr &node) { for (auto &in_data_anchor : node->GetAllInDataAnchors()) { auto src_out_anchor = in_data_anchor->GetPeerOutAnchor(); if (src_out_anchor == nullptr) { GELOGD("The node %s does not has input at index %d", node->GetName().c_str(), in_data_anchor->GetIdx()); continue; } auto in_node = src_out_anchor->GetOwnerNode(); if (!IsInBatchBranch(in_node)) { continue; } auto merge_node = InsertMergeNode(in_node, src_out_anchor->GetIdx()); if (merge_node == nullptr) { return INTERNAL_ERROR; } } for (auto &in_node : node->GetInControlNodes()) { if (!IsInBatchBranch(in_node)) { continue; } auto merge_node = InsertMergeNode(in_node, -1); if (merge_node == nullptr) { return INTERNAL_ERROR; } } return SUCCESS; } Status MultiBatchGraphCopyer::CopyNodeInBatchBranch(const NodePtr &node) { auto ©ed_nodes = nodes_to_batch_nodes_[node.get()]; for (size_t i = 0; i < shapes_.size(); ++i) { auto copyed_node = InsertCopyNode(node, i); if (copyed_node == nullptr) { GELOGE(INTERNAL_ERROR, "Failed to add node to graph when copy node %s", node->GetName().c_str()); return INTERNAL_ERROR; } copyed_nodes.emplace_back(copyed_node); GELOGI("Copy node %s type %s for shape %s, new node name %s", node->GetName().c_str(), node->GetType().c_str(), formats::JoinToString(shapes_.at(i)).c_str(), copyed_node->GetName().c_str()); } return SUCCESS; } Status MultiBatchGraphCopyer::LinkEdges() { Status ret; for (const auto &node : origin_all_nodes_) { if (data_nodes_to_switchn_.count(node.get()) > 0) { ret = LinkDataToSwitchN(node); if (ret != SUCCESS) { return ret; } } if (nodes_to_merge_nodes_.count(node.get()) > 0) { ret = LinkToMerge(node); if (ret != SUCCESS) { return ret; } } if (nodes_to_batch_nodes_.count(node.get()) > 0) { ret = LinkToNodeInBranch(node); } else { ret = LinkToNodeOutBranch(node); } if (ret != SUCCESS) { return ret; } } return SUCCESS; } Status MultiBatchGraphCopyer::LinkDataToSwitchN(const NodePtr &data) { auto switchn = data_nodes_to_switchn_[data.get()]; auto ret = GraphUtils::AddEdge(shape_data_->GetOutDataAnchor(kDataOutIndex), switchn->GetInDataAnchor(kSwitchNPredIndex)); GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS, GELOGE(INTERNAL_ERROR, "Failed to link shape data %s to switchn %s", shape_data_->GetName().c_str(), switchn->GetName().c_str()); return INTERNAL_ERROR); ret = GraphUtils::AddEdge(data->GetOutDataAnchor(kDataOutIndex), switchn->GetInDataAnchor(kSwitchNDataIndex)); GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS, GELOGE(INTERNAL_ERROR, "Failed to link data %s to switchn %s", data->GetName().c_str(), switchn->GetName().c_str()); return INTERNAL_ERROR); return SUCCESS; } Status MultiBatchGraphCopyer::LinkToMerge(const NodePtr &node) { auto &merge_nodes = nodes_to_merge_nodes_[node.get()]; for (size_t i = 0; i < merge_nodes.size(); ++i) { auto merge_node = merge_nodes[i]; if (merge_node == nullptr) { continue; } if (nodes_to_batch_nodes_.count(node.get()) > 0) { auto ret = LinkNodeToMerge(node, i, merge_node); if (ret != SUCCESS) { return ret; } continue; } if (data_nodes_to_switchn_.count(node.get()) > 0) { auto ret = LinkDataToMerge(node, merge_node); if (ret != SUCCESS) { return ret; } continue; } GELOGE(INTERNAL_ERROR, "The merge node %s is created, index %zu, but can not find the src node", merge_node->GetName().c_str(), i); return INTERNAL_ERROR; } return SUCCESS; } Status MultiBatchGraphCopyer::LinkToNodeInBranch(const NodePtr &node) { auto &branch_nodes = nodes_to_batch_nodes_[node.get()]; for (size_t i = 0; i < branch_nodes.size(); ++i) { auto ret = CopyInDataEdges(node, i, branch_nodes[i]); if (ret != SUCCESS) { return ret; } ret = CopyInControlEdges(node, i, branch_nodes[i]); if (ret != SUCCESS) { return ret; } } return SUCCESS; } Status MultiBatchGraphCopyer::LinkToNodeOutBranch(const NodePtr &node) { for (auto &in_data_anchor : node->GetAllInDataAnchors()) { auto src_out_anchor = in_data_anchor->GetPeerOutAnchor(); if (src_out_anchor == nullptr) { GELOGD("The node %s does not has input at index %d", node->GetName().c_str(), in_data_anchor->GetIdx()); continue; } auto in_node = src_out_anchor->GetOwnerNode(); if (!IsInBatchBranch(in_node)) { continue; } auto iter = nodes_to_merge_nodes_.find(in_node.get()); if (iter == nodes_to_merge_nodes_.end()) { GELOGE(INTERNAL_ERROR, "Failed to link IO data edge from %s(%d) to %s(%d), no merge node found", in_node->GetName().c_str(), src_out_anchor->GetIdx(), node->GetName().c_str(), in_data_anchor->GetIdx()); return INTERNAL_ERROR; } auto merge_node = iter->second[src_out_anchor->GetIdx()]; if (merge_node == nullptr) { GELOGE(INTERNAL_ERROR, "Failed to link IO data edge from %s(%d) to %s(%d), no merge node found", in_node->GetName().c_str(), src_out_anchor->GetIdx(), node->GetName().c_str(), in_data_anchor->GetIdx()); return INTERNAL_ERROR; } auto ret = src_out_anchor->Unlink(in_data_anchor); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to unlink the control edge from %s(%d) to %s(%d)", in_node->GetName().c_str(), src_out_anchor->GetIdx(), node->GetName().c_str(), in_data_anchor->GetIdx()); return INTERNAL_ERROR; } ret = GraphUtils::AddEdge(merge_node->GetOutDataAnchor(kMergeDataOutIndex), in_data_anchor); if (ret != GRAPH_SUCCESS) { GELOGE(INTERNAL_ERROR, "Failed to add data edge from %s(%d) to %s(%d)", merge_node->GetName().c_str(), src_out_anchor->GetIdx(), node->GetName().c_str(), in_data_anchor->GetIdx()); return INTERNAL_ERROR; } GELOGI("Link data edge from merge %s(from %s(%d)) to %s(%d)", merge_node->GetName().c_str(), in_node->GetName().c_str(), src_out_anchor->GetIdx(), node->GetName().c_str(), in_data_anchor->GetIdx()); } for (auto &in_node : node->GetInControlNodes()) { if (!IsInBatchBranch(in_node)) { continue; } auto iter = nodes_to_merge_nodes_.find(in_node.get()); if (iter == nodes_to_merge_nodes_.end()) { GELOGE(INTERNAL_ERROR, "Failed to link IO control edge from %s to %s, no merge node found", in_node->GetName().c_str(), node->GetName().c_str()); return INTERNAL_ERROR; } auto merge_node = iter->second[0]; if (merge_node == nullptr) { GELOGE(INTERNAL_ERROR, "Failed to link IO control edge from %s to %s, no merge node found", in_node->GetName().c_str(), node->GetName().c_str()); return INTERNAL_ERROR; } GE_IF_BOOL_EXEC(in_node->GetOutControlAnchor() == nullptr, GELOGE(INTERNAL_ERROR, "Innode outputControlAnchor is null"); return INTERNAL_ERROR); auto ret = in_node->GetOutControlAnchor()->Unlink(node->GetInControlAnchor()); GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS, GELOGE(INTERNAL_ERROR, "Failed to unlink the control edge from %s to %s", in_node->GetName().c_str(), node->GetName().c_str()); return INTERNAL_ERROR); ret = GraphUtils::AddEdge(merge_node->GetOutControlAnchor(), node->GetInControlAnchor()); GE_IF_BOOL_EXEC(ret != GRAPH_SUCCESS, GELOGE(INTERNAL_ERROR, "Failed to add control edge from %s to %s", merge_node->GetName().c_str(), node->GetName().c_str()); return INTERNAL_ERROR); GELOGI("Link control edge from merge %s(from %s) to %s", merge_node->GetName().c_str(), in_node->GetName().c_str(), node->GetName().c_str()); } return SUCCESS; } Status MultiBatchGraphCopyer::InsertIdentityAfterSwitchN() { for (auto &node : graph_->GetAllNodes()) { if (node->GetType() != SWITCHN) { continue; } auto switchn_desc = node->GetOpDesc(); GE_CHECK_NOTNULL(switchn_desc); size_t i = 0; for (auto &out_data_anchor : node->GetAllOutDataAnchors()) { for (auto &in_data_anchor : out_data_anchor->GetPeerInDataAnchors()) { auto out_node = in_data_anchor->GetOwnerNode(); auto op_desc = out_node->GetOpDesc(); GE_CHECK_NOTNULL(op_desc); if ((out_node->GetType() == MERGE) && (op_desc->HasAttr(ATTR_INSERT_BY_MBATCH))) { GELOGD("No need to insert identity between %s and %s.", node->GetName().c_str(), out_node->GetName().c_str()); continue; } auto identity_desc = MakeShared(node->GetName() + "_identity_" + std::to_string(i), IDENTITY); GE_CHECK_NOTNULL(identity_desc); string batch_label; if (AttrUtils::GetStr(op_desc, ATTR_NAME_BATCH_LABEL, batch_label)) { if (!AttrUtils::SetStr(identity_desc, ATTR_NAME_BATCH_LABEL, batch_label)) { GELOGE(FAILED, "Set attr ATTR_NAME_BATCH_LABEL failed, node:%s.", identity_desc->GetName().c_str()); return FAILED; } } auto data_desc = switchn_desc->GetOutputDesc(i); i++; GE_CHK_STATUS_RET(identity_desc->AddInputDesc("x", data_desc)); GE_CHK_STATUS_RET(identity_desc->AddOutputDesc("y", data_desc)); auto identity_node = graph_->AddNode(identity_desc); GE_CHECK_NOTNULL(identity_node); GE_CHK_STATUS_RET(out_data_anchor->LinkTo(identity_node->GetInDataAnchor(0))); GE_CHECK_NOTNULL(identity_node->GetOutControlAnchor()); GE_CHK_STATUS_RET(identity_node->GetOutControlAnchor()->LinkTo(out_node->GetInControlAnchor())); } } } return SUCCESS; } Status ProcessMultiBatch(ComputeGraphPtr &graph) { std::vector> shapes; if (!InitDynamicParams(shapes)) { GELOGD("There is no multi-batch options, no need to process multi-batch copy"); return SUCCESS; } DynamicType dynamic_type = DynamicType::kDynamicUnknown; if (!GetLocalOmgContext().dynamic_batch_size.empty()) { dynamic_type = DynamicType::kDynamicBatch; } else if (!GetLocalOmgContext().dynamic_image_size.empty()) { dynamic_type = DynamicType::kDynamicImageSize;; } else if (!GetLocalOmgContext().dynamic_dims.empty()) { dynamic_type = DynamicType::kDynamicDims; } std::vector>> user_designate_shape; user_designate_shape = GetLocalOmgContext().user_input_dims; GELOGI("Begin to copy graph for multi-batch"); multibatch::MultiBatchGraphCopyer copyer(graph); for (auto &shape : shapes) { copyer.AddShape(shape); } copyer.SetDynamicType(dynamic_type); copyer.SetUserDesignateShape(user_designate_shape); return copyer.CopyGraph(); } // +-----------+ // | Data | +-----------+ +-----------+ +-----------+ // +-----------+ | Data | ----> | SoftmaxV2 | ----> | NetOutput | // \ /. +-----------+ +-----------+ +-----------+ // \ /. // +-----------+ +-----------+ /. +-----------+ +-----------+ +-----------+ // | Data | ----> | Case | S--- | Data | ----> | SoftmaxV2 | ----> | NetOutput | // +-----------+ +-----------+ \. +-----------+ +-----------+ +-----------+ // \ \. // \ \. +-----------+ +-----------+ +-----------+ // +-----------+ | Data | ----> | SoftmaxV2 | ----> | NetOutput | // | NetOutput | +-----------+ +-----------+ +-----------+ // +-----------+ // +-----------+ / // | Data | --------------->/ // +-----------+ void GetDynamicShapeByGraph(const ComputeGraphPtr &graph, const NodePtr &node, set &dynamic_output_index, vector &dynamic_output_dims) { GELOGD("Try get dynamic shape info, Graph: %s, Node: %s", graph->GetName().c_str(), node->GetName().c_str()); const auto &func_desc = node->GetOpDesc(); if (!func_desc->HasAttr(ATTR_NAME_BATCH_NUM)) { GELOGD("Graph: %s Not multi-batch, Node: %s", graph->GetName().c_str(), node->GetName().c_str()); return; } const auto &dynamic_branch_names = func_desc->GetSubgraphInstanceNames(); for (size_t i = 0; i < func_desc->GetOutputsSize(); ++i) { for (size_t j = 0; j < dynamic_branch_names.size(); ++j) { const auto &subgraph = graph->GetSubgraph(dynamic_branch_names[j]); if (subgraph == nullptr) { GELOGE(GE_GRAPH_EMPTY_SUBGRAPH, "Subgraph not found, name: %s", dynamic_branch_names[j].c_str()); dynamic_output_dims.clear(); return; } const auto &out_node = subgraph->FindFirstNodeMatchType(NETOUTPUT); if (out_node == nullptr) { GELOGE(GE_GRAPH_GRAPH_NODE_NULL, "NetOutput not found, name: %s", dynamic_branch_names[j].c_str()); dynamic_output_dims.clear(); return; } GELOGI("Find the subgraph Output node %s and the index is %zu", out_node->GetName().c_str(), i); const auto &out_desc = out_node->GetOpDesc(); if (out_desc == nullptr || out_desc->GetInputsSize() <= i) { GELOGE(GE_GRAPH_GRAPH_NODE_NULL, "Get Input desc failed, name: %s, index: %zu", out_node->GetName().c_str(), i); dynamic_output_dims.clear(); return; } const auto &input_tensor = out_desc->GetInputDesc(i); const auto &shape_msg = input_tensor.GetShape().ToString(); string output_shape = std::to_string(j) + "," + std::to_string(i) + "," + shape_msg; GELOGI("The shape msg in dynamic batch is %s", output_shape.c_str()); dynamic_output_dims.emplace_back(output_shape); uint32_t parent_index = 0; (void)AttrUtils::GetInt(input_tensor, ATTR_NAME_PARENT_NODE_INDEX, parent_index); dynamic_output_index.insert(parent_index); } } } // +-----------+ +-----------+ i = 0 // +----> | SoftmaxV2 | ----> |MemcpyAsync| ----> \. // / +-----------+ +-----------+ \. // / \. // +-----------+ +-----------+ +-----------+ +-----------+ i = 1 +-----------+ // | Data | ----> | SwitchN | ----> | SoftmaxV2 | ----> |MemcpyAsync| ----> | Merge | // +-----------+ +-----------+ +-----------+ +-----------+ +-----------+ // \ / \. j = 0 // \ +-----------+ +-----------+ i = 2 / \. // +----> | SoftmaxV2 | ----> |MemcpyAsync| ----> / +-----------+ // +-----------+ +-----------+ | NetOutput | // +-----------+ // +-----------+ /. // | Data | --------------------------------------------------------------------------->/. j = 1 // +-----------+ void GetDynamicShapeByMerge(const ComputeGraphPtr &graph, const NodePtr &node, set &dynamic_output_index, vector &dynamic_output_dims) { GELOGD("Try get dynamic shape info, Graph: %s, Node: %s", graph->GetName().c_str(), node->GetName().c_str()); const auto &netoutput_desc = node->GetOpDesc(); const auto &inputnode_to_netoutput = node->GetInAllNodes(); for (size_t i = 0; i < inputnode_to_netoutput.size(); ++i) { bool insert_by_mbatch = false; (void)AttrUtils::GetBool(inputnode_to_netoutput.at(i)->GetOpDesc(), ATTR_INSERT_BY_MBATCH, insert_by_mbatch); if (inputnode_to_netoutput.at(i)->GetType() == MERGE && insert_by_mbatch) { GELOGI("Find the merge node %s with mbatch attr and the index is %zu", inputnode_to_netoutput.at(i)->GetName().c_str(), i); dynamic_output_index.insert(i); for (size_t j = 0; j < inputnode_to_netoutput.at(i)->GetInNodes().size(); ++j) { auto input_desc = inputnode_to_netoutput.at(i)->GetOpDesc(); auto input_tensor_desc = input_desc->GetInputDesc(j); auto shape_msg = input_tensor_desc.GetShape().ToString(); string output_shape = std::to_string(j) + "," + std::to_string(i) + "," + shape_msg; GELOGI("The shape msg in dynamic batch is %s", output_shape.c_str()); dynamic_output_dims.emplace_back(output_shape); } } } } // Connect NetOutput directly void GetDirectOutputShape(const ComputeGraphPtr &graph, const NodePtr &node, const set &dynamic_output_index, vector &dynamic_output_dims) { GELOGD("Try get directly shape info, Graph: %s, Node: %s", graph->GetName().c_str(), node->GetName().c_str()); const auto &netoutput_desc = node->GetOpDesc(); const auto &inputnode_to_netoutput = node->GetInAllNodes(); for (size_t i = 0; i < inputnode_to_netoutput.size(); ++i) { if (dynamic_output_index.count(i) > 0) { continue; } auto tensor_desc = netoutput_desc->GetInputDesc(i); auto shape = tensor_desc.GetShape().ToString(); string static_output_shape = std::to_string(kStaticOutput) + "," + std::to_string(i) + "," + shape; GELOGI("The static output shape msg is %s", static_output_shape.c_str()); dynamic_output_dims.emplace_back(static_output_shape); } } Status GetDynamicOutputShape(ComputeGraphPtr &graph) { GE_CHECK_NOTNULL(graph); GELOGI("Start to get output dynamic batch shape message"); NodePtr net_output; set dynamic_output_index; vector dynamic_output_dims; for (auto &node : graph->GetDirectNode()) { if (node->GetType() == NETOUTPUT) { net_output = node; GetDynamicShapeByMerge(graph, node, dynamic_output_index, dynamic_output_dims); } else if (node->GetType() == CASE) { GetDynamicShapeByGraph(graph, node, dynamic_output_index, dynamic_output_dims); } } if ((net_output != nullptr) && !dynamic_output_dims.empty()) { GetDirectOutputShape(graph, net_output, dynamic_output_index, dynamic_output_dims); if (!AttrUtils::SetListStr(net_output->GetOpDesc(), ATTR_NAME_DYNAMIC_OUTPUT_DIMS, dynamic_output_dims)) { GELOGE(FAILED, "Set dynamic output dims attr failed"); return FAILED; } } return SUCCESS; } } // namespace multibatch } // namespace ge