| /external/u-boot/scripts/dtc/ |
| flattree.c | 55 void (*beginnode)(void *, struct label *labels);
56 void (*endnode)(void *, struct label *labels);
57 void (*property)(void *, struct label *labels);
92 static void bin_emit_beginnode(void *e, struct label *labels)
97 static void bin_emit_endnode(void *e, struct label *labels)
102 static void bin_emit_property(void *e, struct label *labels)
186 static void asm_emit_beginnode(void *e, struct label *labels)
191 for_each_label(labels, l) {
199 static void asm_emit_endnode(void *e, struct label *labels)
206 for_each_label(labels, l)
[all...] |
| dtc.h | 58 extern int generate_symbols; /* generate symbols for nodes with labels */
60 extern int auto_label_aliases; /* auto generate labels -> aliases */
151 struct label *labels; member in struct:property
169 struct label *labels; member in struct:node
194 void add_label(struct label **labels, char *label);
195 void delete_labels(struct label **labels);
242 struct label *labels; member in struct:reserve_info
|
| /external/v8/tools/ |
| draw_instruction_graph.sh | 74 labels=`sed '/^[^#]/d' $file | \
88 $labels
|
| /external/autotest/server/lib/ |
| status_history.py | 454 def get_multiple_histories(cls, afe, start_time, end_time, labels=()):
461 @param labels type: [str]. AFE labels to constrain the host query.
468 assert labels, (
469 'Must specify labels for get_multiple_histories. '
472 kwargs = {'multiple_labels': labels}
509 labels = [l for l in self._host.labels
511 return labels[0][len(prefix) : ] if labels else Non
[all...] |
| /external/toolchain-utils/crosperf/ |
| experiment_runner.py | 32 has_llvm = any('llvm' in l.compiler for l in experiment.labels)
34 board = experiment.labels[0].board
76 for l in self._experiment.labels:
95 for l in self._experiment.labels:
114 experiment.labels[0].chromeos_root,
142 experiment.labels[0].chromeos_root,
229 for label in experiment.labels:
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/spinn/ |
| spinn_test.py | 49 labels = tf.random_uniform([batch_size], minval=1, maxval=4, dtype=tf.int64)
63 labels = labels.gpu()
68 return labels, prem, prem_trans, hypo, hypo_trans
283 (labels, prem, prem_trans, hypo,
299 loss1 = trainer.loss(labels, logits)
304 labels, prem, prem_trans, hypo, hypo_trans)
456 (labels, prem, prem_trans, hypo,
462 trainer.train_batch(labels, prem, prem_trans, hypo, hypo_trans)
467 trainer.train_batch(labels, prem, prem_trans, hypo, hypo_trans
[all...] |
| /external/dtc/ |
| dtc.h | 58 extern int generate_symbols; /* generate symbols for nodes with labels */
60 extern int auto_label_aliases; /* auto generate labels -> aliases */
150 struct label *labels; member in struct:property
168 struct label *labels; member in struct:node
193 void add_label(struct label **labels, char *label);
194 void delete_labels(struct label **labels);
240 struct label *labels; member in struct:reserve_info
|
| /external/tensorflow/tensorflow/python/training/ |
| evaluation_test.py | 91 loss_op = losses.log_loss(labels=tf_labels, predictions=tf_predictions)
116 labels = constant_op.constant(self._labels, dtype=dtypes.float32)
121 update_op = accuracy.update_state(labels, predictions)
147 inputs, labels = training.batch([single_input, single_label], batch_size=6,
154 update_op = accuracy.update_state(labels, predictions)
|
| /external/toolchain-utils/crb/ |
| table_formatter.py | 146 # Replace labels with numbers: 0... n
171 labels = table[0]
174 for i in range(1, len(labels)):
175 label = labels[i]
189 labels = table[0]
193 label = labels[group[0]]
|
| /external/v8/src/torque/ |
| ast.h | 226 std::vector<std::string> labels)
231 labels(labels) {}
235 std::vector<std::string> labels; member in struct:v8::internal::torque::CallExpression
616 LabelAndTypesVector labels; member in struct:v8::internal::torque::CallableNodeSignature
622 const LabelAndTypesVector& labels)
625 signature(new CallableNodeSignature{parameters, return_type, labels}) {}
636 const LabelAndTypesVector& labels)
637 : CallableNode(kind, pos, name, parameters, return_type, labels),
648 const LabelAndTypesVector& labels)
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| linear_test.py | 144 """Same as the last test, but labels shape is [150] instead of [150, 1]."""
178 """Tests n_classes > 2 with label_keys vocabulary for labels."""
191 labels = constant_op.constant(
194 return features, labels
267 """Same as the last test, but labels shape is [100] instead of [100, 1]."""
365 labels = constant_op.constant([[1], [0], [0], [0]], dtype=dtypes.float32)
373 return features, labels
375 def _my_metric_op(predictions, labels):
380 return math_ops.reduce_sum(math_ops.multiply(predictions, labels))
444 """Tests logistic training with fractional labels.""
[all...] |
| /external/tensorflow/tensorflow/contrib/tensor_forest/client/ |
| random_forest.py | 171 def _model_fn(features, labels, mode):
217 # labels might be None if we're doing prediction (which brings up the
221 if labels is not None and mode == model_fn_lib.ModeKeys.TRAIN:
225 features, labels, input_weights=weights,
260 labels=labels,
298 labels=labels,
409 labels which are the output of `input_fn` and returns features and
410 labels which will be fed into the model
[all...] |
| /external/autotest/venv/lucifer/ |
| handlers.py | 244 labels = labellib.LabelsMapping.from_host(host)
247 'board': labels['board'],
248 'model': labels['model'],
266 labels = labellib.LabelsMapping.from_host(hqe.host)
267 fields['board'] = labels.get('board', '')
268 fields['pool'] = labels.get('pool', '')
|
| /external/tensorflow/tensorflow/contrib/pi_examples/label_image/ |
| label_image.cc | 54 // Takes a file name, and loads a list of labels from it, one per line, and
61 return tensorflow::errors::NotFound("Labels file ", file_name,
255 // Given the output of a model run, and the name of a file containing the labels
259 std::vector<string> labels; local
262 ReadLabelsFile(labels_file_name, &labels, &label_count);
276 LOG(INFO) << labels[label_index] << " (" << label_index << "): " << score;
312 string labels = local
326 Flag("labels", &labels, "name of file containing labels"),
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| word2vec_kernels.cc | 77 Tensor labels(DT_INT32, TensorShape({batch_size_}));
78 auto Tlabels = labels.flat<int32>();
103 ctx->set_output(6, labels);
138 // labels.
272 const Tensor& labels = ctx->input(3); variable
273 OP_REQUIRES(ctx, examples.shape() == labels.shape(),
274 errors::InvalidArgument("examples.shape == labels.shape"));
282 auto Tlabels = labels.flat<int32>();
|
| /external/toolchain-utils/ |
| test_toolchains.py | 205 def _TestLabels(self, labels):
225 for label in labels:
226 # TODO(asharif): Fix crosperf so it accepts labels with symbols
285 labels = []
286 labels.append('vanilla')
292 labels.append(label)
294 self._TestLabels(labels)
|
| /external/v8/src/ast/ |
| prettyprinter.cc | 593 void AstPrinter::PrintLabels(ZonePtrList<const AstRawString>* labels) {
594 if (labels != nullptr) {
595 for (int i = 0; i < labels->length(); i++) {
596 PrintLiteral(labels->at(i), false);
752 void AstPrinter::PrintLabelsIndented(ZonePtrList<const AstRawString>* labels,
754 if (labels == nullptr || labels->length() == 0) return;
756 Print("LABELS ");
757 PrintLabels(labels);
833 PrintLabelsIndented(node->labels());
[all...] |
| /external/autotest/server/ |
| frontend.py | 534 labels = self.run('get_labels', **dargs)
535 return [Label(self, l) for l in labels]
863 labels, platform, protection, dirty, id
870 labels = list(set(self.labels) - set([self.platform]))
873 ', '.join(labels))
904 def add_labels(self, labels):
905 self.afe.log('Adding labels %s to host %s' % (labels, self.hostname))
906 return self.afe.run('host_add_labels', id=self.id, labels=labels
[all...] |
| /external/tensorflow/tensorflow/python/tpu/ |
| tpu_estimator.py | 112 # tf.while_loop (This can be disabled by returning features and labels
716 # batch 0: images, labels, stop = 0 (user provided)
717 # batch 1: images, labels, stop = 0 (user provided)
719 # batch 99: images, labels, stop = 0 (user provided)
720 # batch 100: images, labels, stop = 1 (TPUEstimator appended)
753 '`features` and `labels` from `input_fn`')
754 features, labels = inputs.features_and_labels()
757 features, labels)
760 features, labels))
791 '`features` and `labels`.'
[all...] |
| /external/vixl/test/ |
| test-pool-manager.cc | 654 TestBranchObject *labels[],
661 labels[i] = new TestBranchObject(veneer_size, veneer_alignment);
669 labels[i]->AddReference(ref);
671 VIXL_ASSERT(!pool_manager->MustEmit(pc, branch_size, ref, labels[i]));
672 pool_manager->AddObjectReference(ref, labels[i]);
689 TestBranchObject *labels[kNumBranches]; local
695 labels,
767 // Finally, bind the labels.
769 pc = pool_manager.Bind(&masm, labels[i], pc);
770 delete labels[i]
788 TestBranchObject *labels[kNumBranches]; local
[all...] |
| /development/tools/mkstubs/src/com/android/mkstubs/stubber/ |
| MethodStubber.java | 149 public void visitLookupSwitchInsn(Label dflt, int[] keys, Label[] labels) {
169 public void visitTableSwitchInsn(int min, int max, Label dflt, Label[] labels) {
|
| /external/autotest/client/tests/iozone/ |
| iozone.py | 88 labels = ('write', 'rewrite', 'read', 'reread', 'randread',
99 for l, v in zip(labels, fields[2:]):
|
| /external/autotest/server/cros/dynamic_suite/ |
| reporting.py | 66 self.labels = ['Test-Warning']
69 self.labels = []
|
| /external/clang/test/SemaCXX/ |
| switch-implicit-fallthrough.cpp | 15 case 0: {// expected-warning{{unannotated fall-through between switch labels}} expected-note{{insert '[[clang::fallthrough]];' to silence this warning}} expected-note{{insert 'break;' to avoid fall-through}}
17 case 1: // expected-warning{{unannotated fall-through between switch labels}} expected-note{{insert '[[clang::fallthrough]];' to silence this warning}} expected-note{{insert 'break;' to avoid fall-through}}
19 case 3: // expected-warning{{unannotated fall-through between switch labels}} expected-note{{insert '[[clang::fallthrough]];' to silence this warning}} expected-note{{insert 'break;' to avoid fall-through}}
22 case 4: // expected-warning{{unannotated fall-through between switch labels}} expected-note{{insert '[[clang::fallthrough]];' to silence this warning}} expected-note{{insert 'break;' to avoid fall-through}}
25 case 5: // expected-warning{{unannotated fall-through between switch labels}} expected-note{{insert '[[clang::fallthrough]];' to silence this warning}} expected-note{{insert 'break;' to avoid fall-through}}
34 case 6: // expected-warning{{unannotated fall-through between switch labels}} expected-note{{insert '[[clang::fallthrough]];' to silence this warning}} expected-note{{insert 'break;' to avoid fall-through}}
36 case 66: // expected-warning{{unannotated fall-through between switch labels}} expected-note{{insert 'break;' to avoid fall-through}}
72 case 110: // expected-warning{{unannotated fall-through between switch labels}} but no fix-it hint as we have one fall-through annotation!
77 case 12: // no warning here, intended fall-through, no statement between labels
154 MY_SWITCH(n, 13, n *= 2, 14, break) // expected-warning{{unannotated fall-through between switch labels}}
[all...] |
| /external/jacoco/org.jacoco.core/src/org/jacoco/core/internal/flow/ |
| LabelInfo.java | 170 * Resets the "done" status of all given labels.
172 * @param labels
173 * labels to reset
175 public static void resetDone(final Label[] labels) {
176 for (final Label label : labels) {
220 * labels are required during instrumentation to add probes to jump targets.
|
