/external/tensorflow/tensorflow/python/tools/ |
D | freeze_graph.py | 243 def _parse_input_graph_proto(input_graph, input_binary): argument 245 if not gfile.Exists(input_graph): 246 raise IOError("Input graph file '" + input_graph + "' does not exist!") 249 with gfile.GFile(input_graph, mode) as f: 257 def _parse_input_meta_graph_proto(input_graph, input_binary): argument 259 if not gfile.Exists(input_graph): 260 raise IOError("Input meta graph file '" + input_graph + "' does not exist!") 263 with gfile.GFile(input_graph, mode) as f: 268 print("Loaded meta graph file '" + input_graph) 286 def freeze_graph(input_graph, argument [all …]
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D | strip_unused_lib.py | 92 def strip_unused_from_files(input_graph, input_binary, output_graph, argument 97 if not gfile.Exists(input_graph): 98 print("Input graph file '" + input_graph + "' does not exist!") 107 with gfile.GFile(input_graph, mode) as f:
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D | strip_unused.py | 55 strip_unused_lib.strip_unused_from_files(FLAGS.input_graph,
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/external/tensorflow/tensorflow/python/training/ |
D | quantize_training_wrapper.cc | 24 static PyObject* DoQuantizeTrainingOnGraphDefHelper(const string& input_graph, in DoQuantizeTrainingOnGraphDefHelper() argument 30 input_graph, num_bits, "QuantizeAndDequantizeV2", &result)); in DoQuantizeTrainingOnGraphDefHelper() 43 [](const py::object input_graph, int num_bits) { in PYBIND11_MODULE() argument 46 input_graph.cast<std::string>(), num_bits)); in PYBIND11_MODULE()
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D | quantize_training.py | 31 def do_quantize_training_on_graphdef(input_graph, num_bits): argument 47 input_graph.SerializeToString(), num_bits)
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/external/tensorflow/tensorflow/tools/graph_transforms/ |
D | fold_constants_lib.cc | 216 Graph input_graph(OpRegistry::Global()); in FoldConstants() local 217 TF_RETURN_IF_ERROR(input_graph.AddFunctionLibrary(input_graph_def.library())); in FoldConstants() 219 ShapeRefiner shape_refiner(input_graph.versions(), input_graph.op_registry()); in FoldConstants() 223 &input_graph.flib_def()); in FoldConstants() 235 ImportGraphDef({}, cleaned_graph_def, &input_graph, &shape_refiner)); in FoldConstants() 238 ImportGraphDef({}, input_graph_def, &input_graph, &shape_refiner)); in FoldConstants() 256 for (const Node* const node : input_graph.nodes()) { in FoldConstants() 294 &input_graph, context.input_names, context.output_names, {}, {}, in FoldConstants() 324 &input_graph, &was_mutated)); in FoldConstants() 326 input_graph.ToGraphDef(&folded_graph_def); in FoldConstants()
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/external/tensorflow/tensorflow/core/grappler/utils/ |
D | transitive_fanin.cc | 94 Status SetTransitiveFaninGraph(const GraphDef& input_graph, in SetTransitiveFaninGraph() argument 101 ComputeTransitiveFanin(input_graph, terminal_nodes, &keep)); in SetTransitiveFaninGraph()
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D | transitive_fanin.h | 43 Status SetTransitiveFaninGraph(const GraphDef& input_graph,
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/external/tensorflow/tensorflow/core/kernels/data/ |
D | concatenate_dataset_op.cc | 103 Node* input_graph = nullptr; in AsGraphDefInternal() local 104 TF_RETURN_IF_ERROR(b->AddInputDataset(ctx, input_, &input_graph)); in AsGraphDefInternal() 109 b->AddDataset(this, {input_graph, to_concatenate_graph}, output)); in AsGraphDefInternal()
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D | cache_dataset_ops.cc | 625 Node* input_graph = nullptr; in AsGraphDefInternal() local 626 TF_RETURN_IF_ERROR(b->AddInputDataset(ctx, input_, &input_graph)); in AsGraphDefInternal() 629 TF_RETURN_IF_ERROR(b->AddDataset(this, {input_graph, filename}, output)); in AsGraphDefInternal()
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/external/tensorflow/tensorflow/core/common_runtime/ |
D | quantize_training.h | 43 Status DoQuantizeTrainingOnSerializedGraphDef(const string& input_graph,
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D | quantize_training_test.cc | 302 GraphDef input_graph; in TEST_F() local 303 graph->ToGraphDef(&input_graph); in TEST_F() 305 input_graph.SerializeToString(&input_string); in TEST_F()
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/external/tensorflow/tensorflow/tools/api/golden/v1/ |
D | tensorflow.graph_util.pbtxt | 21 …argspec: "args=[\'input_graph\', \'protected_nodes\'], varargs=None, keywords=None, defaults=[\'No…
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D | tensorflow.train.pbtxt | 305 argspec: "args=[\'input_graph\', \'num_bits\'], varargs=None, keywords=None, defaults=None"
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/external/tensorflow/tensorflow/python/framework/ |
D | graph_util_impl.py | 292 def remove_training_nodes(input_graph, protected_nodes=None): argument 316 input_nodes = input_graph.node
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D | convert_to_constants.py | 1032 input_graph = _GraphDef(converter_data.graph_def) 1035 input_graph.nodes[tensor_name].convert_variable_to_constant( 1038 converted_graph = input_graph.converted_self().graph_def
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/external/tensorflow/tensorflow/lite/g3doc/r1/convert/ |
D | python_api.md | 167 --input_graph=/path/to/graph.pbtxt --input_binary=false 172 `--input_graph=/path/to/graph.pbtxt --input_binary=false` with 173 `--input_graph=/path/to/graph.pb`
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/external/tensorflow/tensorflow/compiler/aot/ |
D | tfcompile.bzl | 139 " --input_graph=$(location " + graph + ")" +
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/external/tensorflow/tensorflow/lite/micro/examples/person_detection/ |
D | training_a_model.md | 320 --input_graph=vww_96_grayscale_graph.pb \
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