/third_party/node/deps/v8/tools/ |
H A D | run-perf.sh | 57 --call-graph $CALL_GRAPH_METHOD \
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/third_party/node/deps/v8/src/compiler/ |
H A D | verifier.h | 20 // Verifies properties of a graph, such as the well-formedness of inputs to 31 static void Run(Graph* graph, Typing typing = TYPED,
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H A D | csa-load-elimination.h | 11 #include "src/compiler/graph-reducer.h" 12 #include "src/compiler/js-graph.h" 35 node_states_(jsgraph->graph()->NodeCount(), zone), in CsaLoadElimination() 172 Graph* graph() const;
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H A D | effect-control-linearizer.cc | 17 #include "src/compiler/graph-assembler.h" 18 #include "src/compiler/js-graph.h" 327 Graph* graph() const { return js_graph_->graph(); } in graph() function in v8::internal::compiler::EffectControlLinearizer 454 Graph* graph, CommonOperatorBuilder* common, in TryCloneBranch() 461 // input graph as shown below and clones the Branch node for every predecessor in TryCloneBranch() 489 // The resulting graph (modulo the Phi and EffectPhi nodes) looks like this: in TryCloneBranch() 547 Node** const inputs = graph->zone()->NewArray<Node*>(2 * input_count); in TryCloneBranch() 553 Node* branch1 = graph->NewNode(common->Branch(hint), cond1, control1); in TryCloneBranch() 554 merge_true_inputs[index] = graph in TryCloneBranch() 453 TryCloneBranch(Node* node, BasicBlock* block, Zone* temp_zone, Graph* graph, CommonOperatorBuilder* common, BlockEffectControlMap* block_effects, SourcePositionTable* source_positions, NodeOriginTable* node_origins) TryCloneBranch() argument 6708 LinearizeEffectControl(JSGraph* graph, Schedule* schedule, Zone* temp_zone, SourcePositionTable* source_positions, NodeOriginTable* node_origins, JSHeapBroker* broker) LinearizeEffectControl() argument [all...] |
H A D | simplified-operator-reducer.h | 11 #include "src/compiler/graph-reducer.h" 56 Graph* graph() const;
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H A D | js-generic-lowering.h | 8 #include "src/compiler/graph-reducer.h" 58 Graph* graph() const;
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H A D | property-access-builder.h | 69 Graph* graph() const;
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H A D | compiler-source-position-table.h | 45 explicit SourcePositionTable(Graph* graph);
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H A D | js-inlining.h | 8 #include "src/compiler/graph-reducer.h" 9 #include "src/compiler/js-graph.h" 21 // The JSInliner provides the core graph inlining machinery. Note that this 22 // class only deals with the mechanics of how to inline one graph into another, 53 Graph* graph() const;
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H A D | memory-optimizer.h | 8 #include "src/compiler/graph-assembler.h" 46 // path through the graph. 79 Graph* graph() const;
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H A D | memory-optimizer.cc | 10 #include "src/compiler/js-graph.h" 197 EnqueueUses(graph()->start(), empty_state()); in Optimize() 213 // Allocate nodes were purged from the graph in effect-control in VisitNode() 340 // In case of replacement, the replacement graph should not require futher in VisitLoadField() 341 // lowering, so we can proceed iterating the graph from the node uses. in VisitLoadField() 405 // an unschedulable graph. in MergeStates() 479 Graph* MemoryOptimizer::graph() const { return jsgraph()->graph(); } in graph() function in v8::internal::compiler::MemoryOptimizer
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/foundation/distributeddatamgr/kv_store/frameworks/libs/distributeddb/common/include/ |
H A D | db_common.h | 115 const std::map<std::string, std::map<std::string, bool>> &graph, 158 static void InsertNodesByScore(const std::map<std::string, std::map<std::string, bool>> &graph,
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/foundation/distributeddatamgr/udmf/framework/common/ |
H A D | utd_cfgs_checker.cpp | 203 auto graph = UtdGraph::GetInstance().ConstructNewGraph(allTypeCfgs); in CanConstructDAG() local 204 if (graph->IsDAG()) { in CanConstructDAG()
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/drivers/peripheral/camera/vdi_base/common/include/ |
H A D | buffer_tracking.h | 70 static void DumpBufferTrace(const int32_t id, BufferTraceGraph& graph);
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/foundation/arkui/ace_engine/test/tools/event_tree_to_graph/ |
H A D | main.py | 26 from src.graph.graph_converter import generate_all_graphs
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/third_party/ffmpeg/libavfilter/ |
H A D | vf_zscale.c | 134 zimg_filter_graph *alpha_graph[MAX_THREADS], *graph[MAX_THREADS]; member 536 /* returns 0 if graph builder parameters are the same and 1 otherwise */ 605 if (s->graph[job_nr]) { in graphs_build() 606 zimg_filter_graph_free(s->graph[job_nr]); in graphs_build() 608 s->graph[job_nr] = zimg_filter_graph_build(&src_format, &dst_format, &s->params); in graphs_build() 609 if (!s->graph[job_nr]) in graphs_build() 612 ret = zimg_filter_graph_get_tmp_size(s->graph[job_nr], &size); in graphs_build() 742 if (!s->graph[job_nr]) in filter_slice() 744 ret = zimg_filter_graph_process(s->graph[job_nr], &src_buf, &dst_buf, s->tmp[job_nr], 0, 0, 0, 0); in filter_slice() 933 if (s->graph[ in uninit() [all...] |
/foundation/ai/neural_network_runtime/frameworks/native/neural_network_runtime/ |
H A D | hdi_device_v2_1.cpp | 477 OH_NN_ReturnCode HDIDeviceV2_1::GetOfflineModelFromLiteGraph(std::shared_ptr<const mindspore::lite::LiteGraph> graph, in GetOfflineModelFromLiteGraph() argument 480 // graph has been checked in PrepareOfflineModel, no need to check twice. in GetOfflineModelFromLiteGraph() 483 const size_t inputNum = graph->all_nodes_[0]->input_indices_.size(); in GetOfflineModelFromLiteGraph() 490 uint32_t index = graph->all_nodes_[0]->input_indices_[inputNum - 1]; in GetOfflineModelFromLiteGraph() 491 mindspore::lite::TensorPtr pTensor = graph->all_tensors_[index]; in GetOfflineModelFromLiteGraph() 632 LOGE("Error happens when getting offline models from lite graph."); in PrepareOfflineModel()
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H A D | hdi_device_v2_0.cpp | 482 OH_NN_ReturnCode HDIDeviceV2_0::GetOfflineModelFromLiteGraph(std::shared_ptr<const mindspore::lite::LiteGraph> graph, in GetOfflineModelFromLiteGraph() argument 485 // graph has been checked in PrepareOfflineModel, no need to check twice. in GetOfflineModelFromLiteGraph() 488 const size_t inputNum = graph->all_nodes_[0]->input_indices_.size(); in GetOfflineModelFromLiteGraph() 495 uint32_t index = graph->all_nodes_[0]->input_indices_[inputNum - 1]; in GetOfflineModelFromLiteGraph() 496 mindspore::lite::TensorPtr pTensor = graph->all_tensors_[index]; in GetOfflineModelFromLiteGraph() 637 LOGE("Error happens when getting offline models from lite graph."); in PrepareOfflineModel()
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/third_party/vk-gl-cts/external/vulkan-docs/src/scripts/spec_tools/ |
H A D | consistency_tools.py | 657 self.graph = nx.DiGraph() 684 return shortest_path(self.graph, source=source, target=target) 702 # Update graph 703 self.graph.add_node(type_name) 704 self.graph.add_edges_from((type_name, t)
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/third_party/skia/third_party/externals/tint/src/resolver/ |
H A D | dependency_graph.cc | 119 /// @param graph the dependency graph to populate with resolved symbols 125 DependencyGraph& graph, in DependencyScanner() 130 graph_(graph), in DependencyScanner() 472 DependencyGraph& graph) in DependencyAnalysis() 473 : symbols_(symbols), diagnostics_(diagnostics), graph_(graph) {} in DependencyAnalysis() 482 // Traverse the named globals to build the dependency graph in Run() 488 // Dump the dependency graph if TINT_DUMP_DEPENDENCY_GRAPH is non-zero in Run() 764 /// The resulting dependency graph 122 DependencyScanner(const SymbolTable& syms, const GlobalMap& globals_by_name, diag::List& diagnostics, DependencyGraph& graph, DependencyEdges& edges) DependencyScanner() argument
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/foundation/distributeddatamgr/kv_store/frameworks/libs/distributeddb/common/src/ |
H A D | db_common.cpp | 508 * 1. select a point which in-degree is 0 in the graph and record it; 510 * 3. repeat step 1 and 2, until the graph is empty or there is no point with a zero degree 564 void DBCommon::InsertNodesByScore(const std::map<std::string, std::map<std::string, bool>> &graph, in InsertNodesByScore() argument 568 auto copyGraph = graph; in InsertNodesByScore() 579 LOGW("[DBCommon] not find score in graph"); in InsertNodesByScore() 591 const std::map<std::string, std::map<std::string, bool>> &graph, in GenerateNodesByNodeWeight() 604 if (graph.find(source) == graph.end()) { in GenerateNodesByNodeWeight() 607 for (const auto &[target, reach] : graph.at(source)) { in GenerateNodesByNodeWeight() 620 InsertNodesByScore(graph, generateNode in GenerateNodesByNodeWeight() 590 GenerateNodesByNodeWeight(const std::vector<std::string> &nodes, const std::map<std::string, std::map<std::string, bool>> &graph, const std::map<std::string, int> &nodeWeight) GenerateNodesByNodeWeight() argument [all...] |
/third_party/node/deps/v8/src/heap/cppgc-js/ |
H A D | cpp-snapshot.cc | 49 // consumers of the graph may merge a node and its wrapper node. in SetWrapperNode() 143 // dependencies on ancestors in the sub graph which ensures that there will be 383 // graph with hidden nodes that do not carry information. For that reason, the 386 // In this case the (hidden) objects are filtered from the graph. The trickiest 413 CppGraphBuilderImpl(CppHeap& cpp_heap, v8::EmbedderGraph& graph) in CppGraphBuilderImpl() argument 414 : cpp_heap_(cpp_heap), graph_(graph) {} in CppGraphBuilderImpl() 482 // pointing back to the object. Set up a wrapper node for the graph so in AddEdge() 589 // the object graph. 801 // In case the names are visible, the graph is not traversed in this phase. in VisitForVisibility() 861 // First pass: Figure out which objects should be included in the graph in Run() 904 Run(v8::Isolate* isolate, v8::EmbedderGraph* graph, void* data) Run() argument [all...] |
/third_party/ffmpeg/fftools/ |
H A D | ffmpeg_hw.c | 574 for (i = 0; i < fg->graph->nb_filters; i++) { in hw_device_setup_for_filter() 575 fg->graph->filters[i]->hw_device_ctx = in hw_device_setup_for_filter() 577 if (!fg->graph->filters[i]->hw_device_ctx) in hw_device_setup_for_filter()
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H A D | ffmpeg.h | 245 struct FilterGraph *graph; member 269 struct FilterGraph *graph; member 294 AVFilterGraph *graph; member
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/third_party/node/src/ |
H A D | heap_utils.cc | 213 JSGraph graph(env->isolate()); in BuildEmbedderGraph() 214 Environment::BuildEmbedderGraph(env->isolate(), &graph, env); in BuildEmbedderGraph() 216 if (graph.CreateObject().ToLocal(&ret)) in BuildEmbedderGraph()
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