/external/llvm/lib/CodeGen/SelectionDAG/ |
SelectionDAGPrinter.cpp | 84 const SelectionDAG *Graph) { 99 const SelectionDAG *Graph) { 119 std::string getNodeLabel(const SDNode *Node, const SelectionDAG *Graph); 121 const SelectionDAG *Graph) { 123 const std::string &Attrs = Graph->getGraphAttrs(N); 170 /// clearGraphAttrs - Clear all previously defined node graph attributes. 182 /// setGraphAttrs - Set graph attributes for a node. (eg. "color=red".) 194 /// getGraphAttrs - Get graph attributes for a node. (eg. "color=red".) 300 // Draw a special "GraphRoot" node to indicate the root of the graph.
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/external/swiftshader/third_party/LLVM/lib/CodeGen/SelectionDAG/ |
SelectionDAGPrinter.cpp | 86 const SelectionDAG *Graph) { 94 const SelectionDAG *Graph) { 114 std::string getNodeLabel(const SDNode *Node, const SelectionDAG *Graph); 116 const SelectionDAG *Graph) { 118 const std::string &Attrs = Graph->getGraphAttrs(N); 165 /// clearGraphAttrs - Clear all previously defined node graph attributes. 177 /// setGraphAttrs - Set graph attributes for a node. (eg. "color=red".) 189 /// getGraphAttrs - Get graph attributes for a node. (eg. "color=red".) 295 // Draw a special "GraphRoot" node to indicate the root of the graph.
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/external/swiftshader/third_party/llvm-7.0/llvm/lib/CodeGen/SelectionDAG/ |
SelectionDAGPrinter.cpp | 82 const SelectionDAG *Graph) { 97 const SelectionDAG *Graph) { 117 std::string getNodeLabel(const SDNode *Node, const SelectionDAG *Graph); 119 const SelectionDAG *Graph) { 121 const std::string &Attrs = Graph->getGraphAttrs(N); 168 /// clearGraphAttrs - Clear all previously defined node graph attributes. 180 /// setGraphAttrs - Set graph attributes for a node. (eg. "color=red".) 192 /// getGraphAttrs - Get graph attributes for a node. (eg. "color=red".) 298 // Draw a special "GraphRoot" node to indicate the root of the graph.
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/external/swiftshader/third_party/llvm-7.0/llvm/tools/llvm-cfi-verify/ |
llvm-cfi-verify.cpp | 89 const GraphResult &Graph, 97 Graph.printToDOT(Analysis, outs()); 136 GraphResult Graph = GraphBuilder::buildFlowGraph(Analysis, Address); 139 Analysis.validateCFIProtection(Graph); 144 printInstructionInformation(Analysis, InstrMeta, Graph, ProtectionStatus);
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/external/tensorflow/tensorflow/compiler/jit/ |
partially_decluster_pass.cc | 37 Status FindNodesToDecluster(const Graph& graph, 61 TF_RETURN_IF_ERROR(MemoryTypesForNode(graph.op_registry(), device_type, 82 TF_RETURN_IF_ERROR(MemoryTypesForNode(graph.op_registry(), device_type, 107 Status PartiallyDeclusterNode(Graph* graph, Node* n) { 130 Node* cloned_node = graph->AddNode(ndef, &s); 135 graph->AddEdge(in_edge->src(), in_edge->src_output(), cloned_node, 140 graph->AddEdge(cloned_node, out_edge_to_clone->src_output(), 142 graph->RemoveEdge(out_edge_to_clone) 352 Graph* graph = options.graph->get(); local [all...] |
clone_constants_for_better_clustering.cc | 37 Graph* g, const absl::flat_hash_set<string>& name_set, Node* n) { 96 Graph* g, const absl::flat_hash_set<string>& name_set, Node* n) { 129 Graph* g = options.graph->get(); 137 // avoid this transformation when such ops are present in the graph. 141 // if we have the following graph: 156 // graph into:
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shape_inference_test.cc | 46 std::unique_ptr<Graph> graph(new Graph(OpRegistry::Global())); 47 TF_CHECK_OK(root.ToGraph(graph.get())); 50 TF_ASSERT_OK(InferShapes(graph.get(), /*arg_shapes=*/{}, 59 TF_EXPECT_OK(ShapeAnnotationsMatch(*graph, shape_info, expected)); 63 // Graph: 66 Graph graph(OpRegistry::Global()); 107 scope.graph()->RemoveNode(dummy.node()) [all...] |
/external/tensorflow/tensorflow/compiler/tf2xla/ |
functionalize_control_flow.cc | 37 #include "tensorflow/core/graph/algorithm.h" 38 #include "tensorflow/core/graph/control_flow.h" 39 #include "tensorflow/core/graph/graph_constructor.h" 40 #include "tensorflow/core/graph/node_builder.h" 50 Graph* graph, 53 << DumpGraphToFile("functionalize_initial", *graph, library); 55 // Functionalize and remove while loops from graph. 56 TF_RETURN_IF_ERROR(FunctionalizeWhileLoop(lookup_library, graph, library)); 61 TF_RETURN_IF_ERROR(FunctionalizeCond(graph, library)) 233 Graph* graph = options.graph->get(); local [all...] |
/external/tensorflow/tensorflow/python/client/ |
session_benchmark.py | 53 with ops.Graph().as_default(): 81 with ops.Graph().as_default(): 109 with ops.Graph().as_default(): 136 with ops.Graph().as_default(): 162 with ops.Graph().as_default():
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/external/tensorflow/tensorflow/python/grappler/ |
item_test.py | 39 with ops.Graph().as_default() as g: 43 mg = meta_graph.create_meta_graph_def(graph=g) 51 with ops.Graph().as_default() as g: 57 mg = meta_graph.create_meta_graph_def(graph=g) 63 with ops.Graph().as_default() as g: 70 mg = meta_graph.create_meta_graph_def(graph=g) 86 with ops.Graph().as_default() as g: 92 mg = meta_graph.create_meta_graph_def(graph=g) 113 with ops.Graph().as_default() as g: 120 mg = meta_graph.create_meta_graph_def(graph=g [all...] |
datasets_test.py | 49 with ops.Graph().as_default() as g: 55 mg = meta_graph.create_meta_graph_def(graph=g) 74 with ops.Graph().as_default() as g: 80 mg = meta_graph.create_meta_graph_def(graph=g) 107 with ops.Graph().as_default() as g: 116 mg = meta_graph.create_meta_graph_def(graph=g) 123 with ops.Graph().as_default() as g: 129 mg = meta_graph.create_meta_graph_def(graph=g) 148 with ops.Graph().as_default() as g: 155 mg = meta_graph.create_meta_graph_def(graph=g [all...] |
/external/tensorflow/tensorflow/python/framework/ |
function_test.py | 102 with ops.Graph().as_default(): 115 with ops.Graph().as_default(): 131 with ops.Graph().as_default(): 146 with ops.Graph().as_default(): 159 with ops.Graph().as_default(): 172 with ops.Graph().as_default(): 188 with ops.Graph().as_default(): 201 g = ops.Graph() 223 g = ops.Graph() 238 g = ops.Graph() [all...] |
/external/tensorflow/tensorflow/contrib/learn/python/learn/ |
monitors_test.py | 130 with ops.Graph().as_default() as g, self.session(g): 135 with ops.Graph().as_default() as g, self.session(g): 144 with ops.Graph().as_default() as g, self.session(g): 153 with ops.Graph().as_default() as g, self.session(g): 162 with ops.Graph().as_default() as g, self.session(g): 171 with ops.Graph().as_default() as g, self.session(g): 182 with ops.Graph().as_default() as g, self.session(g): 195 with ops.Graph().as_default() as g, self.session(g): 210 with ops.Graph().as_default() as g, self.session(g): 227 with ops.Graph().as_default() as g, self.session(g) [all...] |
/external/swiftshader/third_party/llvm-7.0/llvm/include/llvm/Analysis/ |
CFGPrinter.h | 11 // cfg.<fnname>.dot file for each function in the program, with a graph of the 121 const Function *Graph) { 123 return getSimpleNodeLabel(Node, Graph); 125 return getCompleteNodeLabel(Node, Graph);
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/external/tensorflow/tensorflow/compiler/tf2tensorrt/segment/ |
segment.cc | 25 #include "tensorflow/core/graph/algorithm.h" 26 #include "tensorflow/core/graph/graph.h" 27 #include "tensorflow/core/graph/graph_constructor.h" 42 // A simple graph representation to mirror Graph. This structure 43 // helps saving memory since segmenter modifies the graph in place, preventing 44 // the need to create a copy of the graph. It is composed of edges and nodes. 116 explicit SimpleGraph(const Graph* g); 129 const SimpleNode* source_node() const { return nodes_[Graph::kSourceId]; 419 auto graph = std::unique_ptr<SimpleGraph>(new SimpleGraph(tf_graph)); local [all...] |
/external/tensorflow/tensorflow/core/common_runtime/ |
graph_runner.cc | 33 #include "tensorflow/core/graph/algorithm.h" 34 #include "tensorflow/core/graph/graph_constructor.h" 35 #include "tensorflow/core/graph/node_builder.h" 36 #include "tensorflow/core/graph/subgraph.h" 101 Status GraphRunner::Run(Graph* graph, FunctionLibraryRuntime* function_library, 121 // TODO(vrv): Instead of copying the entire graph, consider modifying 122 // the existing graph, and then removing those removed edges. 124 std::unique_ptr<Graph> graph_to_run(new Graph(graph->op_registry())) [all...] |
placer.cc | 28 #include "tensorflow/core/framework/graph.pb.h" 81 Placer::Placer(Graph* graph, const DeviceSet* devices, 84 : graph_(graph), 90 Placer::Placer(Graph* graph, const DeviceSet* devices, 92 : Placer(graph, devices, default_device, true, false) {} 94 Placer::Placer(Graph* graph, const DeviceSet* devices) 95 : Placer(graph, devices, nullptr, true, false) { [all...] |
/external/tensorflow/tensorflow/core/grappler/ |
mutable_graph_view_test.cc | 22 #include "tensorflow/core/graph/tensor_id.h" 36 void CompareNodeFanins(const MutableGraphView& graph, NodeDef* node, 43 if (tensor_id.index() == Graph::kControlSlot) { 44 port = Graph::kControlSlot; 50 graph.GetOutputPort(tensor_id.node(), tensor_id.index()); 51 EXPECT_TRUE(graph.GetFanin(input_port).contains(output_port)); 52 EXPECT_TRUE(graph.GetFanout(output_port).contains(input_port)); 56 void CompareNodeFanouts(const MutableGraphView& graph, NodeDef* node, 59 graph.GetFanouts(*node, /*include_controlled_nodes=*/true); 63 MutableGraphView::InputPort input_port(graph.GetNode(tensor_id.node()) [all...] |
/external/tensorflow/tensorflow/core/kernels/ |
spacetobatch_benchmark_test.cc | 18 #include "tensorflow/core/graph/node_builder.h" 24 static Graph* ConstructSpaceToBatchGraph( 29 Graph* g = new Graph(OpRegistry::Global()); 41 .Input(test::graph::Constant(g, input)) 42 .Input(test::graph::Constant(g, paddings_tensor)) 49 .Input(test::graph::Constant(g, input)) 50 .Input(test::graph::Constant(g, paddings_tensor))
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sparse_matmul_op_test.cc | 21 #include "tensorflow/core/graph/node_builder.h" 51 Node* SparseMatMulNode(Graph* g, Node* in0, Node* in1, bool transpose_a, 66 static Graph* SparseMatMulHelper(Graph* g, int m, int n, int d, 82 SparseMatMulNode(g, test::graph::Constant(g, left), 83 test::graph::Constant(g, right), transpose_a, transpose_b, 89 static Graph* SparseMatMul(int m, int n, int d, float sparsity_a, 92 Graph* g = new Graph(OpRegistry::Global()); 97 static Graph* ReplicatedSparseMatMul(int m, int n, int d, float sparsity_1 [all...] |
split_v_op_test.cc | 25 #include "tensorflow/core/graph/node_builder.h" 57 static Graph* MakeGraph(int split_dim, const std::vector<int64>& size_splits, 59 Graph* g = new Graph(OpRegistry::Global()); 67 .Input(test::graph::Constant(g, in)) 68 .Input(test::graph::Constant(g, size_splits_tensor)) 69 .Input(test::graph::Constant(g, split_dim_tensor))
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/external/tensorflow/tensorflow/go/ |
graph.go | 51 // Graph represents a computation graph. Graphs may be shared between sessions. 52 type Graph struct { 56 // Graph execution options 67 // NewGraph returns a new Graph. 68 func NewGraph() *Graph { 69 g := &Graph{C.TF_NewGraph()} 70 runtime.SetFinalizer(g, (*Graph).finalizer) 74 func (g *Graph) finalizer() { 81 func (g *Graph) WriteTo(w io.Writer) (int64, error) [all...] |
/external/tensorflow/tensorflow/go/op/ |
scope.go | 26 // Scope encapsulates common operation properties when building a Graph. 31 // to the graph. 36 graph *tf.Graph 49 // NewScope creates a Scope initialized with an empty Graph. 51 return &Scope{graph: tf.NewGraph(), namemap: make(map[string]int), err: new(scopeErr)} 54 // NewScopeWithGraph creates a Scope initialized with the Graph thats passed in 55 func NewScopeWithGraph(g *tf.Graph) *Scope { 56 return &Scope{graph: g, namemap: make(map[string]int), err: new(scopeErr)} 59 // Finalize returns the Graph on which this scope operates on and renders [all...] |
/external/tensorflow/tensorflow/python/eager/ |
function_defun_collection_test.py | 41 """Read values from graph collections inside of defun.""" 42 with ops.Graph().as_default() as g: 43 with self.session(graph=g): 68 """Read variable value from graph collections inside of defun.""" 69 with ops.Graph().as_default() as g: 70 with self.session(graph=g): 84 with ops.Graph().as_default() as g: 85 with self.session(graph=g):
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/external/tensorflow/tensorflow/python/training/ |
quantize_training_test.py | 60 g = ops.Graph() 61 with session.Session(graph=g) as sess: 74 with ops.Graph().as_default() as g, session.Session(graph=g) as sess: 80 # Run the graph for one step to assign values to the quantization min/max 86 with ops.Graph().as_default() as g, session.Session(graph=g) as sess:
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