| /external/python/cpython3/Lib/lib2to3/pgen2/ |
| parse.py | 124 t, v = self.grammar.labels[i]
126 # Look it up in the list of labels
|
| /external/selinux/libselinux/utils/ |
| Makefile | 29 -Wdeprecated-declarations -Wdiv-by-zero -Wdouble-promotion -Wendif-labels -Wextra \
|
| /external/smali/baksmali/src/main/java/org/jf/baksmali/Adaptors/ |
| MethodDefinition.java | 586 //sort the labels by their location in the method
608 protected HashMap<LabelMethodItem, LabelMethodItem> labels = new HashMap<LabelMethodItem, LabelMethodItem>(); field in class:MethodDefinition.LabelCache
614 LabelMethodItem internedLabelMethodItem = labels.get(labelMethodItem);
618 labels.put(labelMethodItem, labelMethodItem);
624 return labels.values();
|
| /external/swiftshader/third_party/llvm-7.0/llvm/test/MC/Mips/ |
| cpsetup.s | 81 # .cpsetup with local labels (PR22518):
115 # Ensure we have at least one instruction between labels so that the labels
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/examples/ |
| mnist.py | 54 """Prepare features and labels."""
57 dataset_split.labels.astype(np.int32)],
|
| /external/tensorflow/tensorflow/contrib/gan/python/estimator/python/ |
| gan_estimator_test.py | 330 labels = features.pop('y')
331 return features, labels
337 labels = features.pop('y')
338 return features, labels
|
| gan_estimator_impl.py | 175 def _model_fn(features, labels, mode):
180 real_data = labels # rename inputs for clarity
206 raise ValueError('`labels` must be `None` when mode is `predict`. '
|
| stargan_estimator_impl.py | 158 def _model_fn(features, labels, mode):
171 input_data_domain_label = labels # rename inputs for clarity
|
| tpu_gan_estimator_impl.py | 179 produced (images, labels) where the images tensor is in `HWCN` format,
182 along which to split the labels to match up with the corresponding
223 def _model_fn(features, labels, mode, params):
229 real_data = labels # rename inputs for clarity
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/learn_io/ |
| data_feeder_test.py | 202 labels = np.array([0, 0, 1])
203 func(data_feeder.DataFeeder(data, labels, n_classes=0, batch_size=1))
207 self._wrap_dict(labels, 'out'),
300 y = pd.DataFrame(dict(labels=np.array([1, 0, 2, 1, 0, 1, 2])))
|
| /external/autotest/frontend/client/src/autotest/tko/ |
| TestDetailView.java | 289 String[] labels = Utils.JSONtoStrings(test.get("labels").isArray()); local
290 String labelList = Utils.joinStrings(", ", Arrays.asList(labels));
|
| /external/autotest/scheduler/ |
| rdb_unittest.py | 217 deps=[lable.id for lable in db_host.labels.all()],
221 deps=[lable.id for lable in db_host.labels.all()],
|
| /external/tensorflow/tensorflow/core/kernels/ |
| sdca_ops_test.cc | 200 Node* const labels = RandomZeroOrOne(g, num_examples); local
219 .Input(labels)
|
| /external/tensorflow/tensorflow/java/src/main/java/org/tensorflow/examples/ |
| LabelImage.java | 61 List<String> labels = local
70 labels.get(bestLabelIdx),
121 "Expected model to produce a [1 N] shaped tensor where N is the number of labels, instead it produced one with shape %s",
|
| /external/antlr/tool/src/main/java/org/antlr/analysis/ |
| NFAToDFAConverter.java | 197 * labels 'a' where t is a DFA node created
203 OrderedHashSet<Label> labels = d.getReachableLabels(); local
204 //System.out.println("reachable labels="+labels);
208 labels.size()+"/"+d.getNFAConfigurations().size()+"="+
209 labels.size()/(float)d.getNFAConfigurations().size());
237 boolean containsEOT = labels!=null && labels.contains(EOTLabel);
270 if ( labels!=null ) {
271 numLabels = labels.size()
[all...] |
| /external/python/cpython2/Modules/ |
| ossaudiodev.c | 901 PyObject *labels; local
910 labels = PyList_New(num_controls);
912 if (labels == NULL || names == NULL)
918 PyList_SET_ITEM(labels, i, s);
926 if (PyModule_AddObject(module, "control_labels", labels) == -1)
934 Py_XDECREF(labels);
|
| /external/python/cpython3/Modules/ |
| ossaudiodev.c | 1059 PyObject *labels; local
1068 labels = PyList_New(num_controls);
1070 if (labels == NULL || names == NULL)
1076 PyList_SET_ITEM(labels, i, s);
1084 if (PyModule_AddObject(module, "control_labels", labels) == -1)
1092 Py_XDECREF(labels);
[all...] |
| /external/tensorflow/tensorflow/contrib/linear_optimizer/python/ops/ |
| sdca_ops.py | 659 labels = math_ops.cast(
668 sigmoid_cross_entropy_with_logits(labels=labels,
674 log_poisson_loss(targets=labels, log_input=predictions),
679 # first convert 0/1 labels into -1/1 labels.
681 adjusted_labels = math_ops.subtract(2 * labels, all_ones)
692 err = math_ops.subtract(labels, predictions)
|
| /external/u-boot/cmd/ |
| pxe.c | 495 * labels - a list of labels defined for the menu.
502 struct list_head labels; member in struct:pxe_menu
1191 * Parses a label and adds it to the list of labels for a menu.
1217 list_add_tail(&label->list, &cfg->labels);
1382 * Free the memory used by a pxe_menu and its labels.
1395 list_for_each_safe(pos, n, &cfg->labels) {
1426 INIT_LIST_HEAD(&cfg->labels);
1454 * Create a menu and add items for all the labels.
1462 list_for_each(pos, &cfg->labels) {
[all...] |
| /external/ImageMagick/coders/ |
| ps.c | 1495 **labels, local
[all...] |
| /external/icu/android_icu4j/src/main/tests/android/icu/dev/test/collator/ |
| AlphabeticIndexTest.java | 231 List labels = alphabeticIndex.getBucketLabels(); local
232 logln(labels.toString());
411 List<String> labels = index.getBucketLabels(); local
432 labels.get(bucketIndex), bucket.getLabel());
434 labels.get(bucketIndex), immIndex.getBucket(bucketIndex).getLabel());
996 List<String> labels = index.getBucketLabels(); local
[all...] |
| /external/icu/icu4j/main/tests/collate/src/com/ibm/icu/dev/test/collator/ |
| AlphabeticIndexTest.java | 228 List labels = alphabeticIndex.getBucketLabels(); local
229 logln(labels.toString());
408 List<String> labels = index.getBucketLabels(); local
429 labels.get(bucketIndex), bucket.getLabel());
431 labels.get(bucketIndex), immIndex.getBucket(bucketIndex).getLabel());
993 List<String> labels = index.getBucketLabels(); local
[all...] |
| /external/python/apitools/samples/bigquery_sample/bigquery_v2/ |
| bigquery_v2_messages.py | 64 The syntax is "labels.[:]". Multiple filters can be ANDed together by
65 connecting with a space. Example: "labels.department:receiving
66 labels.active". See https://cloud.google.com/bigquery/docs/labeling-
528 LabelsValue: [Experimental] The labels associated with this dataset. You
568 labels: [Experimental] The labels associated with this dataset. You can
619 """[Experimental] The labels associated with this dataset. You can use
657 labels = _messages.MessageField('LabelsValue', 10) variable in class:Dataset
686 LabelsValue: [Experimental] The labels associated with this dataset. You
696 labels: [Experimental] The labels associated with this dataset. You ca
729 labels = _messages.MessageField('LabelsValue', 5) variable in class:DatasetList.DatasetsValueListEntry
[all...] |
| /external/v8/src/parsing/ |
| preparser.h | 752 ZonePtrList<const AstRawString>* labels = nullptr) {
793 ZonePtrList<const AstRawString>* labels,
799 ZonePtrList<const AstRawString>* labels,
804 PreParserStatement NewSwitchStatement(ZonePtrList<const AstRawString>* labels,
816 ZonePtrList<const AstRawString>* labels,
823 ZonePtrList<const AstRawString>* labels,
829 ZonePtrList<const AstRawString>* labels,
[all...] |
| /external/tensorflow/tensorflow/contrib/tensor_forest/python/ |
| tensor_forest.py | 414 input_labels: A tensor or placeholder for labels associated with
430 labels = data_ops.ParseLabelTensorOrDict(input_labels)
445 tree_labels = labels
460 # TODO(thomaswc): Calculate out-of-bag data and labels, and store
463 tree_labels = array_ops.gather(labels, gather_indices)
548 def training_loss(self, features, labels, name='training_loss'):
552 def validation_loss(self, features, labels):
594 input_labels: A tensor or placeholder for labels associated with
|
