| /external/tensorflow/tensorflow/python/training/ |
| evaluation_test.py | 85 with ops.Graph().as_default():
|
| sync_replicas_optimizer_test.py | 40 graph = ops.Graph()
42 with graph.as_default():
81 graphs.append(graph)
|
| checkpoint_management_test.py | 119 # Build a simple graph.
134 # Build a new graph with different initialization.
279 with self.session(graph=ops_lib.Graph()) as sess:
298 with self.session(graph=ops_lib.Graph()) as sess:
313 with self.session(graph=ops_lib.Graph()) as sess:
346 # Avoid sharing directories between eager and graph
|
| /external/testng/src/main/java/org/testng/internal/ |
| Graph.java | 15 * Simple graph class to implement topological sort (used to sort methods based on what groups
20 public class Graph<T> {
192 System.out.println("[Graph] " + s);
245 StringBuilder result = new StringBuilder("[Graph ");
|
| /external/v8/src/compiler/ |
| js-native-context-specialization.h | 9 #include "src/compiler/graph-reducer.h"
218 Graph* graph() const;
|
| property-access-builder.cc | 10 #include "src/compiler/js-graph.h"
22 Graph* PropertyAccessBuilder::graph() const { return jsgraph()->graph(); } function in class:v8::internal::compiler::PropertyAccessBuilder
59 graph()->NewNode(simplified()->CheckString(VectorSlotPair()), *receiver,
72 graph()->NewNode(simplified()->CheckNumber(VectorSlotPair()), *receiver,
124 receiver = *effect = graph()->NewNode(simplified()->CheckHeapObject(),
149 maps.insert(map, graph()->zone());
154 *effect = graph()->NewNode(simplified()->CheckMaps(flags, maps), receiver,
165 graph()->NewNode(simplified()->ReferenceEqual(), receiver, expected)
[all...] |
| simplified-operator-reducer.cc | 7 #include "src/compiler/js-graph.h"
265 Graph* SimplifiedOperatorReducer::graph() const { return jsgraph()->graph(); } function in class:v8::internal::compiler::SimplifiedOperatorReducer
|
| /external/antlr/tool/src/main/java/org/antlr/ |
| Tool.java | 32 import org.antlr.misc.Graph;
580 Graph<String> g = new Graph<String>();
[all...] |
| /external/tensorflow/tensorflow/compiler/tests/ |
| jit_test.py | 238 with ops.Graph().as_default():
288 # statically known as part of the JIT compilation's input graph.
379 g = ops.Graph()
398 config=NoRewriteSessionConfig(), graph=g, use_gpu=True) as sess:
431 g = ops.Graph()
441 with session_lib.Session(graph=g, config=cfg) as sess:
455 # Note: we don't need to compute log(x) for dx due to graph pruning.
|
| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| batch_sequences_with_states_test.py | 133 # Make sure queue runner with SQSS is added properly to meta graph def.
511 with ops.Graph().as_default() as g, self.session(graph=g):
523 with ops.Graph().as_default() as g, self.session(graph=g):
552 with ops.Graph().as_default() as g, self.session(graph=g):
|
| /external/tensorflow/tensorflow/core/common_runtime/ |
| shape_refiner.cc | 29 #include "tensorflow/core/graph/algorithm.h"
30 #include "tensorflow/core/graph/graph_constructor.h"
65 // the inference context of that function node in the outer graph.
135 const Graph* graph; local
138 graph = it->second.get();
148 Graph* new_graph = new Graph(function_library_);
154 graph = new_graph;
171 ReverseDFS(*graph, {}, node_shape_inference_lambda)
[all...] |
| shape_refiner_test.cc | 25 #include "tensorflow/core/graph/node_builder.h"
26 #include "tensorflow/core/graph/testlib.h"
82 .Finalize(root.graph(), &result));
229 .Finalize(root.graph(), &b));
305 .Finalize(root.graph(), &multi));
310 .Finalize(root.graph(), &shape_v));
316 .Finalize(root.graph(), &shape_v2));
357 Graph graph(OpRegistry::Global());
366 Node* input_a = test::graph::Constant(&graph, a)
[all...] |
| /external/tensorflow/tensorflow/core/grappler/optimizers/ |
| meta_optimizer.cc | 22 #include "tensorflow/core/graph/graph_constructor.h"
57 int64 NumEdges(const GraphDef& graph) {
59 for (const auto& node : graph.node()) {
66 return strings::StrCat("Graph size after: ", after.node_size(), " nodes (",
106 Status CompressConstants(GraphDef* graph) {
107 for (int i = 0; i < graph->node_size(); ++i) {
108 NodeDef* node = graph->mutable_node(i);
230 VLOG(2) << "Registered default graph optimizer: " << optimizer_name;
239 VLOG(2) << "Registered custom graph optimizer: " << optimizer_name;
265 VLOG(2) << "Registered custom configurable graph optimizer:
[all...] |
| /external/tensorflow/tensorflow/python/eager/ |
| function_gradients_test.py | 58 with ops.Graph().as_default(), self.cached_session():
72 with ops.Graph().as_default(), self.cached_session() as sess:
163 with ops.Graph().as_default():
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| conditional_accumulator_test.py | 43 with ops.Graph().as_default():
57 with ops.Graph().as_default():
63 with ops.Graph().as_default():
|
| sparse_conditional_accumulator_test.py | 61 with ops.Graph().as_default():
76 with ops.Graph().as_default():
82 with ops.Graph().as_default():
|
| while_v2_test.py | 87 with ops.Graph().as_default(), self.test_session():
212 mg = meta_graph.create_meta_graph_def(graph=ops.get_default_graph())
383 with ops.Graph().as_default():
391 with ops.Graph().as_default():
|
| fifo_queue_test.py | 46 with ops.Graph().as_default():
59 with ops.Graph().as_default():
77 with ops.Graph().as_default():
[all...] |
| /external/tensorflow/tensorflow/python/saved_model/ |
| save_test.py | 70 """Import a SavedModel into a TF 1.x-style graph and run `signature_key`."""
71 graph = ops.Graph()
72 with graph.as_default(), session_lib.Session() as session:
78 feed_dict[graph.get_tensor_by_name(signature.inputs[arg_name].name)] = (
82 output_dict[output_name] = graph.get_tensor_by_name(
298 graph = ops.Graph()
299 with graph.as_default(), self.session(graph) as session
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| estimator.py | 152 a local graph in which it calls `input_fn` to build the tensors, then discards
163 with ops.Graph().as_default():
279 # Iterate in lexicographic order, so the graph is identical among runs.
419 model_dir: Directory to save model parameters, graph and etc. This can
707 """Exports inference graph into given dir.
710 export_dir: A string containing a directory to write the exported graph
758 """Method that builds model graph and returns trainer ops.
773 """Method that builds model graph and returns prediction ops.
784 """Method that builds model graph and returns evaluation ops.
[all...] |
| /external/mesa3d/src/gallium/drivers/nouveau/codegen/ |
| nv50_ir_from_tgsi.cpp | [all...] |
| /external/tensorflow/tensorflow/python/training/tracking/ |
| util_test.py | 111 # Even in graph mode, there are no naming conflicts between objects, only
491 """Expected usage when graph building."""
497 with ops.Graph().as_default():
511 with self.session(graph=ops.get_default_graph()) as session:
533 """Graph/eager agnostic usage."""
534 # Does create garbage when executing eagerly due to ops.Graph() creation.
582 # Use the frozen saver to restore the same object graph
586 # Restore using another frozen saver on an identical object graph
[all...] |
| /external/swiftshader/third_party/LLVM/include/llvm/CodeGen/ |
| ScheduleDAG.h | 40 template<class Graph> class GraphWriter;
236 // Preds/Succs - The SUnits before/after us in the graph.
551 /// to form the scheduling dependency graph.
|
| /external/swiftshader/third_party/llvm-7.0/llvm/include/llvm/CodeGen/ |
| ScheduleDAG.h | 35 template<class Graph> class GraphWriter;
|
| /external/tensorflow/tensorflow/compiler/jit/ |
| xla_device.cc | 44 #include "tensorflow/core/graph/graph_constructor.h"
357 Status XlaDevice::FillContextMap(const Graph* graph,
364 device_context_map->resize(graph->num_node_ids());
365 for (Node* n : graph->nodes()) {
521 // Any op assigned to the device that isn't rewritten by the graph rewriter
|
