Searched refs:NodeCount (Results 1 – 9 of 9) sorted by relevance
135 NodeCount = AllNodes.size(); in MLInlineAdvisor()159 NodeCount -= static_cast<int64_t>(NodesInLastSCC.size()); in onPassEntry()168 ++NodeCount; in onPassEntry()215 assert(NodeCount >= NodesInLastSCC.size()); in onPassExit()257 --NodeCount; in onSuccessfulInlining()262 assert(CurrentIRSize >= 0 && EdgeCount >= 0 && NodeCount >= 0); in onSuccessfulInlining()351 *ModelRunner->getTensor<int64_t>(FeatureIndex::NodeCount) = NodeCount; in getAdviceImpl()414 OS << "[MLInlineAdvisor] Nodes: " << NodeCount << " Edges: " << EdgeCount in print()
181 size_t nodeCount() const { return NodeCount; } in nodeCount()188 ++NodeCount; in create()198 uint32_t NodeCount = 0; variable
89 M(NodeCount, "node_count", \
76 int64_t NodeCount = 0; variable
386 void reserve(unsigned NodeCount) { Nodes.reserve(NodeCount); } in reserve() argument
94 for (auto NodeCount : NodeCountPerLayer) in generateAllTreesWithShape() local95 Layer = GenerateNextLayer(Layer, NodeCount); in generateAllTreesWithShape()
80 void initialize(uint64_t NodeCount, uint64_t SourceNode, uint64_t SinkNode) { in initialize() argument84 Nodes = std::vector<Node>(NodeCount); in initialize()85 Edges = std::vector<std::vector<Edge>>(NodeCount, std::vector<Edge>()); in initialize()88 std::vector<std::vector<Edge *>>(NodeCount, std::vector<Edge *>()); in initialize()
428 uint32_t NodeCount = std::move(*ErrorOrNodeCount); in buildAddress2ProbeMap() local434 for (std::size_t I = 0; I < NodeCount; I++) { in buildAddress2ProbeMap()
189 NodeCount = Index; in createTerminals()