/external/tensorflow/tensorflow/core/common_runtime/ |
partitioning_utils.cc | 19 #include "tensorflow/core/graph/graph.h" 20 #include "tensorflow/core/graph/graph_constructor.h" 21 #include "tensorflow/core/graph/graph_partition.h" 26 const DeviceSet& device_set, std::unique_ptr<Graph> graph, 27 std::unordered_map<string, std::unique_ptr<Graph>>* subgraphs) { 30 // TODO(iga): To support the distributed case, first split the graph by 33 // Currently, we simply split the graph at device boundaries. 51 TF_RETURN_IF_ERROR(Partition(partition_options, graph.get(), &partitions)) [all...] |
/external/tensorflow/tensorflow/compiler/jit/ |
extract_outside_compilation_pass_test.cc | 41 // Build the graph: 52 std::unique_ptr<Graph> g(new Graph(OpRegistry::Global())); 125 // Build the graph: only 1 node: "arg0" 128 std::unique_ptr<Graph> g(new Graph(OpRegistry::Global())); 149 // Build the graph: 154 std::unique_ptr<Graph> g(new Graph(OpRegistry::Global())); 175 // Build the graph: only 1 node: "const0 [all...] |
build_xla_ops_pass_test.cc | 26 #include "tensorflow/core/graph/algorithm.h" 58 std::unique_ptr<Graph>* result) { 59 auto graph = absl::make_unique<Graph>(OpRegistry::Global()); local 60 TF_RETURN_IF_ERROR(s.ToGraph(graph.get())); 61 FunctionLibraryDefinition flib_def(graph->op_registry(), fdef_lib); 65 for (Node* n : graph->nodes()) { 73 FixupSourceAndSinkEdges(graph.get()); 79 opt_options.graph = &graph; 145 std::unique_ptr<Graph> graph; local 167 std::unique_ptr<Graph> graph; local 198 std::unique_ptr<Graph> graph; local 221 std::unique_ptr<Graph> graph; local 243 std::unique_ptr<Graph> graph; local [all...] |
encapsulate_subgraphs_pass.cc | 43 #include "tensorflow/core/graph/algorithm.h" 44 #include "tensorflow/core/graph/control_flow.h" 45 #include "tensorflow/core/graph/graph.h" 46 #include "tensorflow/core/graph/graph_def_builder.h" 47 #include "tensorflow/core/graph/tensor_id.h" 104 const Graph& graph, 113 graph, srcs, /*enter=*/nullptr, 147 Graph const* graph_in 2423 std::unique_ptr<Graph> graph; local [all...] |
/external/tensorflow/tensorflow/core/graph/ |
subgraph_test.cc | 16 #include "tensorflow/core/graph/subgraph.h" 21 #include "tensorflow/core/framework/graph.pb.h" 23 #include "tensorflow/core/graph/graph.h" 24 #include "tensorflow/core/graph/graph_constructor.h" 25 #include "tensorflow/core/graph/graph_def_builder.h" 26 #include "tensorflow/core/graph/graph_def_builder_util.h" 44 SubgraphTest() : g_(new Graph(OpRegistry::Global())) { 104 return HasEdge(src, Graph::kControlSlot, dst, Graph::kControlSlot) 136 Graph* graph() { return g_.get(); } function in class:tensorflow::__anon45055::SubgraphTest [all...] |
quantize_training.cc | 22 #include "tensorflow/core/graph/quantize_training.h" 29 #include "tensorflow/core/graph/algorithm.h" 30 #include "tensorflow/core/graph/graph_constructor.h" 31 #include "tensorflow/core/graph/node_builder.h" 32 #include "tensorflow/core/graph/subgraph.h" 71 inline bool IsGradientNode(const Graph* graph, const Node* node) { 79 bool FindType(const Graph* graph, const Node* node, bool* signed_input, 112 if (edge->src_output() != Graph::kControlSlot && edge->dst_input() == 0) [all...] |
optimizer_cse_test.cc | 16 #include "tensorflow/core/graph/optimizer_cse.h" 22 #include "tensorflow/core/graph/graph.h" 23 #include "tensorflow/core/graph/graph_constructor.h" 24 #include "tensorflow/core/graph/testlib.h" 37 static void InitGraph(const string& s, Graph* graph) { 44 TF_CHECK_OK(ConvertGraphDefToGraph(opts, graph_def, graph)); 61 } else if (index == Graph::kControlSlot) { 68 string CanonicalGraphString(Graph* g) 362 Graph* graph = new Graph(OpRegistry::Global()); local [all...] |
mkl_tfconversion_pass.cc | 27 #include "tensorflow/core/graph/algorithm.h" 28 #include "tensorflow/core/graph/graph.h" 29 #include "tensorflow/core/graph/node_builder.h" 36 #include "tensorflow/core/graph/mkl_graph_util.h" 37 #include "tensorflow/core/graph/mkl_tfconversion_pass.h" 42 // in the graph in between A and B, where A and B match any one 51 // B = NULL (in other words, A is the last node in the graph), then 81 // Insert layout conversion node in the graph pointed by g. 82 // Function scans the graph for candidate edges where w [all...] |
graph_def_builder.h | 20 #include "tensorflow/core/framework/graph.pb.h" 22 #include "tensorflow/core/graph/graph.h" 23 #include "tensorflow/core/graph/node_builder.h" 68 // Options for adding a Node to a Graph. 71 // Sets the Graph (that Nodes will be added to) and the status. The 73 // failures. The graph and status must outlive *this. 74 Options(Graph* graph, Status* status); 136 Graph* const graph_ [all...] |
/external/tensorflow/tensorflow/core/kernels/ |
reduction_ops_test.cc | 24 // Creates a Graph which "reduce"s a 3D float tensor of "num" elements 27 static Graph* ToScalar(const string& reduce, int num_x, int num_y) { 28 auto* g = new Graph(OpRegistry::Global()); 34 test::graph::Reduce(g, reduce, test::graph::Constant(g, data), 35 test::graph::Constant(g, axes)); 39 static Graph* ColReduce(const string& reduce, int num_x, int num_y) { 40 auto* g = new Graph(OpRegistry::Global()); 45 test::graph::Reduce(g, reduce, test::graph::Constant(g, data) [all...] |
batch_matmul_op_test.cc | 24 static Graph* BatchMatmul(int b, int m, int k, int n, bool adjoint_a, 26 Graph* g = new Graph(OpRegistry::Global()); 31 test::graph::BatchMatmul(g, test::graph::Constant(g, in0), 32 test::graph::Constant(g, in1), adjoint_a, adjoint_b);
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constant_op_test.cc | 24 #include "tensorflow/core/graph/graph.h" 94 // Returns graph containing "num" const nodes. If 'sequential' is 96 // graph by adding control dependencies. 97 static Graph* ManyConsts(int num, bool sequential) { 98 Graph* g = new Graph(OpRegistry::Global()); 103 Node* curr = test::graph::Constant(g, c);
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matmul_op_test.cc | 24 static Graph* Matmul(int m, int k, int n, bool transpose_a, bool transpose_b, 26 Graph* g = new Graph(OpRegistry::Global()); 31 test::graph::Matmul(g, test::graph::Constant(g, in0), 32 test::graph::Constant(g, in1), transpose_a, transpose_b);
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split_op_test.cc | 22 #include "tensorflow/core/graph/node_builder.h" 29 static Graph* MakeGraph(int split_dim, int num_split, 31 Graph* g = new Graph(OpRegistry::Global()); 39 .Input(test::graph::Constant(g, split_dim_tensor)) 40 .Input(test::graph::Constant(g, in))
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/external/tensorflow/tensorflow/python/training/ |
supervisor_test.py | 99 with ops.Graph().as_default(): 110 with ops.Graph().as_default(): 121 with ops.Graph().as_default(): 139 with ops.Graph().as_default(): 157 with ops.Graph().as_default(): 183 # The next one has the graph and metagraph. 209 with ops.Graph().as_default(): 232 # The next one has the graph. 273 with ops.Graph().as_default(): 292 with ops.Graph().as_default() [all...] |
basic_loops_test.py | 55 with ops.Graph().as_default(): 73 with ops.Graph().as_default(): 97 with ops.Graph().as_default():
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/external/tensorflow/tensorflow/python/framework/ |
op_def_library_test.py | 118 with ops.Graph().as_default(): 141 with ops.Graph().as_default(): 183 with ops.Graph().as_default(): 190 with ops.Graph().as_default(): 218 with ops.Graph().as_default(): 244 with ops.Graph().as_default(): 260 with ops.Graph().as_default(): 284 with ops.Graph().as_default(): 306 with ops.Graph().as_default(): 337 with ops.Graph().as_default() [all...] |
meta_graph_test.py | 73 orig_graph = ops.Graph() 74 with self.session(graph=orig_graph) as sess: 75 # Create a minimal graph with zero variables. 81 # Add input and output tensors to graph collections. 100 # Create a clean graph and import the MetaGraphDef nodes. 101 new_graph = ops.Graph() 102 with self.session(graph=new_graph) as sess: 103 # Import the previously export meta graph. 106 # Re-exports the current graph state for comparison to the original. 112 # Ensures that we can still get a reference to our graph collections [all...] |
/external/llvm/include/llvm/CodeGen/PBQP/ |
Graph.h | 1 //===-------------------- Graph.h - PBQP Graph ------------------*- C++ -*-===// 10 // PBQP Graph class. 44 /// PBQP Graph class. 48 class Graph : public GraphBase { 82 void removeAdjEdgeId(Graph &G, NodeId ThisNId, AdjEdgeIdx Idx) { 113 NIds[0] = NIds[1] = Graph::invalidNodeId(); 119 void connectToN(Graph &G, EdgeId ThisEdgeId, unsigned NIdx) { 126 void connectTo(Graph &G, EdgeId ThisEdgeId, NodeId NId) { 135 void connect(Graph &G, EdgeId ThisEdgeId) [all...] |
/external/llvm/include/llvm/Analysis/ |
CFGPrinter.h | 92 const Function *Graph) { 94 return getSimpleNodeLabel(Node, Graph); 96 return getCompleteNodeLabel(Node, Graph);
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/external/swiftshader/third_party/llvm-7.0/llvm/tools/llvm-cfi-verify/lib/ |
FileAnalysis.cpp | 264 FileAnalysis::validateCFIProtection(const GraphResult &Graph) const { 265 const Instr *InstrMetaPtr = getInstruction(Graph.BaseAddress); 276 if (!Graph.OrphanedNodes.empty()) 279 for (const auto &BranchNode : Graph.ConditionalBranchNodes) { 284 if (indirectCFOperandClobber(Graph) != Graph.BaseAddress) 290 uint64_t FileAnalysis::indirectCFOperandClobber(const GraphResult &Graph) const { 291 assert(Graph.OrphanedNodes.empty() && "Orphaned nodes should be empty."); 294 const Instr &IndirectCF = getInstructionOrDie(Graph.BaseAddress); 303 for (const auto &Branch : Graph.ConditionalBranchNodes) [all...] |
/external/tensorflow/tensorflow/python/saved_model/ |
loader_test.py | 49 g = ops.Graph() 71 with session.Session(graph=g) as sess: 79 with session.Session(graph=g) as sess: 101 with self.session(graph=ops.Graph()) as sess: 103 self.assertEqual(5, sess.graph.get_tensor_by_name("x:0").eval()) 104 self.assertEqual(11, sess.graph.get_tensor_by_name("y:0").eval()) 108 with self.session(graph=ops.Graph()) as sess: 110 self.assertEqual(5, sess.graph.get_tensor_by_name("x:0").eval() [all...] |
/external/swiftshader/third_party/llvm-7.0/llvm/include/llvm/CodeGen/PBQP/ |
Graph.h | 1 //===- Graph.h - PBQP Graph -------------------------------------*- C++ -*-===// 10 // PBQP Graph class. 43 /// PBQP Graph class. 47 class Graph : public GraphBase { 81 void removeAdjEdgeId(Graph &G, NodeId ThisNId, AdjEdgeIdx Idx) { 112 void connectToN(Graph &G, EdgeId ThisEdgeId, unsigned NIdx) { 119 void connect(Graph &G, EdgeId ThisEdgeId) { 133 void disconnectFromN(Graph &G, unsigned NIdx) { 141 void disconnectFrom(Graph &G, NodeId NId) [all...] |
/external/tensorflow/tensorflow/contrib/quantize/python/ |
quantize_graph_test.py | 15 """Unit tests for the quantize_graph graph rewriting API.""" 96 graph = ops.Graph() 97 with graph.as_default(): 101 [v.name for v in graph.get_collection(ops.GraphKeys.GLOBAL_VARIABLES)]) 103 rewrite_fn(graph) 105 q_variables = graph.get_collection(ops.GraphKeys.GLOBAL_VARIABLES) 113 # Tests that the default graph is correctly used when no args are provided 115 with ops.Graph().as_default() as g: 129 # Tests that the default graph is correctly used when no args are provide [all...] |
/external/tensorflow/tensorflow/compiler/tf2xla/ |
xla_compiler_test.cc | 43 #include "tensorflow/core/graph/algorithm.h" 44 #include "tensorflow/core/graph/graph.h" 45 #include "tensorflow/core/graph/graph_constructor.h" 120 scope.UpdateStatus(builder.Finalize(scope.graph(), &ret)); 172 // Tests compilation and execution of an empty graph. 176 std::unique_ptr<Graph> graph(new Graph(OpRegistry::Global())); 179 XlaCompiler::CompileOptions(), "add", std::move(graph), [all...] |