/external/blktrace/btt/ |
D | args.c | 267 static FILE *std_open(char *output_name, char *sfx, char *msg) in std_open() argument 270 char fname[strlen(output_name) + 32]; in std_open() 272 sprintf(fname, "%s.%s", output_name, sfx); in std_open() 331 output_name = optarg; in handle_args() 399 if (output_name == NULL) { in handle_args() 403 rngs_ofp = std_open(output_name, "dat", "range data"); in handle_args() 404 avgs_ofp = std_open(output_name, "avg", "stats data"); in handle_args() 405 msgs_ofp = std_open(output_name, "msg", "K messages"); in handle_args() 407 xavgs_ofp = std_open(output_name, "xvg", in handle_args()
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/external/google-benchmark/tools/gbench/ |
D | util.py | 124 output_name = find_benchmark_flag('--benchmark_out=', 127 if output_name is None: 129 thandle, output_name = tempfile.mkstemp() 132 ['--benchmark_out=%s' % output_name] 140 json_res = load_benchmark_results(output_name) 142 os.unlink(output_name)
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/external/libcxx/utils/google-benchmark/tools/gbench/ |
D | util.py | 124 output_name = find_benchmark_flag('--benchmark_out=', 127 if output_name is None: 129 thandle, output_name = tempfile.mkstemp() 132 ['--benchmark_out=%s' % output_name] 140 json_res = load_benchmark_results(output_name) 142 os.unlink(output_name)
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/external/pdfium/testing/ |
D | test.gni | 22 # output_name is used to allow targets with the same name but in different 25 if (defined(invoker.output_name)) { 26 _output_name = invoker.output_name 64 output_name = rebase_path(_exec_output, root_out_dir) 115 if (defined(invoker.output_name)) { 116 apk_name = invoker.output_name 117 install_script_name = "install_${invoker.output_name}" 253 if (defined(invoker.output_name) && target_name != invoker.output_name) { 254 group("${invoker.output_name}_run") {
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/external/tensorflow/tensorflow/contrib/lite/toco/graph_transformations/ |
D | remove_trivial_passthrough.cc | 68 const string output_name = passthru_op->outputs[0]; in RemoveTrivialPassthroughOp() local 79 removal_candidates.push_back(output_name); in RemoveTrivialPassthroughOp() 81 if (IsDiscardableArray(*model, output_name)) { in RemoveTrivialPassthroughOp() 90 RerouteEdges(output_name, main_input_name, model); in RemoveTrivialPassthroughOp() 99 RerouteEdges(main_input_name, output_name, model); in RemoveTrivialPassthroughOp()
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D | propagate_fixed_sizes.cc | 206 const string& output_name = op->outputs[0]; in ProcessDepthwiseConvOperator() local 226 model->GetArray(output_name).mutable_shape(), in ProcessDepthwiseConvOperator() 239 const string& output_name = op->outputs[0]; in ProcessDepthToSpaceOperator() local 241 CHECK_NE(block_size, 0) << "Invalid block_size in " << output_name; in ProcessDepthToSpaceOperator() 248 model->GetArray(output_name) in ProcessDepthToSpaceOperator() 262 const string& output_name = op->outputs[0]; in ProcessSpaceToDepthOperator() local 264 CHECK_NE(block_size, 0) << "Invalid block_size in " << output_name; in ProcessSpaceToDepthOperator() 272 model->GetArray(output_name) in ProcessSpaceToDepthOperator() 405 const string& output_name = op->outputs[0]; in ProcessSimpleOperator() local 406 auto& output_array = model->GetArray(output_name); in ProcessSimpleOperator() [all …]
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D | ensure_bias_vectors.cc | 33 const string& output_name = op->outputs[0]; in ProcessLinearOperator() local 34 const string& bias_name = AvailableArrayName(*model, output_name + "_bias"); in ProcessLinearOperator()
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/external/tensorflow/tensorflow/examples/multibox_detector/ |
D | main.cc | 81 string output_name = "normalized"; in ReadTensorFromImageFile() local 116 Div(root.WithOpName(output_name), Sub(root, resized, {input_mean}), in ReadTensorFromImageFile() 128 session->Run({}, {output_name, original_name}, {}, out_tensors)); in ReadTensorFromImageFile() 141 string output_name = "file_writer"; in SaveImage() local 146 root.WithOpName(output_name), file_path, image_encoder); in SaveImage() 155 TF_RETURN_IF_ERROR(session->Run({}, {}, {output_name}, &outputs)); in SaveImage() 186 string output_name = "top_k"; in GetTopDetections() local 187 TopK(root.WithOpName(output_name), outputs[0], how_many_labels); in GetTopDetections() 199 TF_RETURN_IF_ERROR(session->Run({}, {output_name + ":0", output_name + ":1"}, in GetTopDetections()
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/external/tensorflow/tensorflow/examples/label_image/ |
D | main.cc | 122 string output_name = "normalized"; in ReadTensorFromImageFile() local 168 Div(root.WithOpName(output_name), Sub(root, resized, {input_mean}), in ReadTensorFromImageFile() 179 TF_RETURN_IF_ERROR(session->Run({inputs}, {output_name}, {}, out_tensors)); in ReadTensorFromImageFile() 209 string output_name = "top_k"; in GetTopLabels() local 210 TopK(root.WithOpName(output_name), outputs[0], how_many_labels); in GetTopLabels() 222 TF_RETURN_IF_ERROR(session->Run({}, {output_name + ":0", output_name + ":1"}, in GetTopLabels()
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D | label_image.py | 44 output_name = "normalized" 127 output_name = "import/" + output_layer variable 129 output_operation = graph.get_operation_by_name(output_name)
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/external/tensorflow/tensorflow/tools/quantization/ |
D | graph_to_dot.py | 57 output_name = node.name 58 print(" \"" + output_name + "\" [label=\"" + node.op + "\"];", file=f) 62 print(" \"" + input_name + "\" -> \"" + output_name + "\";", file=f)
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/external/tensorflow/tensorflow/examples/speech_commands/ |
D | label_wav_test.py | 49 output_name = "test_output" 53 tf.zeros([1, 3], name=output_name) 60 input_name + ":0", output_name + ":0", 3)
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D | label_wav.py | 80 def label_wav(wav, labels, graph, input_name, output_name, how_many_labels): argument 99 run_graph(wav_data, labels_list, input_name, output_name, how_many_labels) 105 FLAGS.output_name, FLAGS.how_many_labels)
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D | label_wav_dir.py | 89 def label_wav(wav_dir, labels, graph, input_name, output_name, how_many_labels): argument 102 run_graph(wav_dir, labels_list, input_name, output_name, how_many_labels) 108 FLAGS.output_name, FLAGS.how_many_labels)
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D | label_wav.cc | 105 string output_name = "labels_softmax"; in main() local 112 Flag("output_name", &output_name, "name of output node in model"), in main() 157 session->Run({{input_name, wav_tensor}}, {output_name}, {}, &outputs); in main()
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D | test_streaming_accuracy.cc | 140 string output_name = "labels_softmax"; in main() local 159 Flag("output_name", &output_name, "name of output node in model"), in main() 258 {output_name}, {}, &outputs); in main()
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/external/tensorflow/tensorflow/contrib/lite/toco/tflite/ |
D | import.cc | 137 const string& output_name = tensors_table.at(output_index); in ImportOperators() local 138 op->outputs.push_back(output_name); in ImportOperators() 156 const string& output_name = tensors_table.at(output); in ImportIOTensors() local 157 model->flags.add_output_arrays(output_name); in ImportIOTensors()
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/external/clang/tools/libclang/ |
D | CMakeLists.txt | 81 set(output_name "libclang") variable 83 set(output_name "clang") variable 87 OUTPUT_NAME ${output_name}
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/external/tensorflow/tensorflow/contrib/session_bundle/ |
D | session_bundle_test.py | 58 output_name = default_signature.regression_signature.output.tensor_name 60 y = sess.run([output_name], {input_name: tf_example}) 71 output_name = (named_signatures["outputs"].generic_signature.map["y"] 73 y = sess.run([output_name], {input_name: np.array([[0], [1], [2], [3]])})
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/external/tensorflow/tensorflow/core/kernels/hexagon/ |
D | hexagon_rewriter_transform.cc | 75 for (const string& output_name : context.output_names) { in RewriteQuantizedStrippedModelForHexagon() local 76 outputs.emplace_back(output_name); in RewriteQuantizedStrippedModelForHexagon()
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D | graph_transfer_utils.cc | 79 for (const string& output_name : outputs) { in BuildRemoteFusedGraphExecuteInfo() local 82 output_name); in BuildRemoteFusedGraphExecuteInfo() 84 execute_info.add_graph_output_node_name(output_name); in BuildRemoteFusedGraphExecuteInfo()
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/external/tensorflow/tensorflow/tools/benchmark/ |
D | benchmark_model_test.cc | 49 const string output_name = m.node()->name(); in TEST() local 67 0.0, 10, 0.0, {input}, {output_name}, session.get(), stats.get(), &time, in TEST()
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/external/tensorflow/tensorflow/core/grappler/ |
D | utils.cc | 82 void NodeMap::AddOutput(const string& node_name, const string& output_name) { in AddOutput() argument 83 auto output_node = nodes_[NodeName(output_name)]; in AddOutput() 84 CHECK(output_node) << "Output node " << output_name in AddOutput() 89 void NodeMap::RemoveOutput(const string& node_name, const string& output_name) { in RemoveOutput() argument 90 outputs_[node_name].erase(nodes_[NodeName(output_name)]); in RemoveOutput()
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/external/tensorflow/tensorflow/python/client/ |
D | timeline.py | 495 output_name = '%s:%d' % (node_name, index) 497 output_name = node_name 502 tensor = self._produce_tensor(output_name, start_time, tensors_pid, 506 self._flow_starts[output_name] = (end_time, device_pid, tid) 509 self._chrome_trace.emit_obj_create('Tensor', output_name,
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/external/curl/tests/libtest/ |
D | stub_gssapi.c | 256 gss_name_t *output_name) in gss_import_name() argument 263 if(!input_name_buffer || !output_name) { in gss_import_name() 274 *output_name = (gss_name_t) name; in gss_import_name()
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