| /external/toolchain-utils/crosperf/ |
| results_report.py | 354 cpu_info = experiment.machine_manager.GetAllCPUInfo(experiment.labels)
533 experiment.benchmark_runs, experiment.labels, json_report=for_json_report)
559 label_names = [label.name for label in experiment.labels]
691 board = self.experiment.labels[0].board
695 label = _GetElemByName(label_name, self.experiment.labels)
|
| results_cache.py | 519 labels = lines[0].split(',')
522 if len(fields) != len(labels):
524 for i in xrange(1, len(labels)):
525 key = '%s %s' % (fields[0], labels[i])
|
| /external/ImageMagick/coders/ |
| pdf.c | 1265 **labels, local
[all...] |
| /external/mesa3d/src/compiler/glsl/ |
| ast.h | 1049 * A list of case labels.
1051 exec_list labels; member in class:ast_case_label_list
1057 ast_case_statement(ast_case_label_list *labels);
1063 ast_case_label_list *labels; member in class:ast_case_statement
[all...] |
| /external/tensorflow/tensorflow/contrib/distribute/python/ |
| keras_correctness_test_base.py | 532 labels = []
539 labels.append(label)
545 y_train = np.asarray(labels, dtype=np.int32).reshape((count, 1))
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| dnn.py | 86 def _dnn_model_fn(features, labels, mode, params, config=None):
91 labels: `Tensor` of shape [batch_size, 1] or [batch_size] labels of
212 labels=labels,
264 If the user specifies `label_keys` in constructor, labels must be strings from
330 It must be greater than 1. Note: Class labels are integers representing
332 label values (e.g. string labels), convert to class indices first.
351 labels which are the output of `input_fn` and returns features and
352 labels which will be fed into the model
[all...] |
| /external/toolchain-utils/cros_utils/ |
| tabulator.py | 33 labels = ["vanilla", "modified"]
34 tg = TableGenerator(runs, labels, TableGenerator.SORT_BY_VALUES_DESC)
169 and the following labels:
1237 labels = ['vanilla', 'modified'] variable
[all...] |
| /external/autotest/frontend/afe/ |
| admin.py | 82 """A widget that renders the labels in a comman separated text field."""
110 @param name: The name attr of the HTML tag of labels.
130 self.fields['labels'].widget = LabelsCommaSpacedWidget()
131 self.fields['labels'].help_text = ('Please enter a comma seperated '
132 'list of labels.')
158 # each row (since labels are many-to-many) - should we remove
181 'protection', 'labels', 'shard', 'labels_autodetection')
187 'leased', 'protection', 'labels')
221 labels = [label.name for label in form.cleaned_data['labels']]
[all...] |
| /external/autotest/scheduler/ |
| rdb.py | 291 # Getting all labels and acls might result in large queries, so
298 label_match = (request.deps.intersection(host.labels) == request.deps)
310 if preferred_deps contains other labels as well.
320 key=lambda host: len(set(preferred_deps) & set(host.labels)),
|
| agent_task.py | 588 keyval_dict = dict(platform=platform, labels=','.join(all_labels))
795 labels of a job are.
798 labels = {x.name for x in task.queue_entry.job.labels}
799 return ['--job-labels', ','.join(labels)]
|
| rdb_cache_manager.py | 285 Checking is done in terms of host labels and acls, note that the hosts
303 h_keys = set([self.get_key(host.labels, host.acls) for host in line])
|
| /external/autotest/server/hosts/ |
| cros_repair_unittest.py | 266 """Checks that dependency labels are defined."""
267 labels = [n[1] for n in verify_dag]
270 self.assertIn(dep, labels)
273 """Checks that dependency and trigger labels are defined."""
|
| factory.py | 194 # Let's grab the os from the labels if we can for host class detection.
195 for label in afe_host.labels:
|
| /external/autotest/site_utils/ |
| test_push.py | 112 pool_label = constants.Labels.POOL_PREFIX + pool
114 hosts = [h for h in hosts if pool_label in h.get('labels', [])]
239 hosts = AFE.get_hosts(label=constants.Labels.BOARD_PREFIX+board,
243 l for l in host.labels
246 AFE.run('host_remove_labels', id=host.id, labels=labels_to_remove)
|
| lab_inventory.py | 78 # _EXCLUDED_LABELS - A set of labels that disqualify a DUT from
463 models = [l for l in afehost.labels
464 if l.startswith(constants.Labels.MODEL_PREFIX)]
465 pools = [l for l in afehost.labels
466 if l.startswith(constants.Labels.POOL_PREFIX)]
467 excluded = _EXCLUDED_LABELS.intersection(afehost.labels)
496 label_list = [constants.Labels.POOL_PREFIX + l for l in target_pools]
504 model_label = constants.Labels.MODEL_PREFIX + model
506 if model_label in h.labels]
[all...] |
| /external/tensorflow/tensorflow/contrib/factorization/python/ops/ |
| wals.py | 142 def _wals_factorization_model_function(features, labels, mode, params):
147 labels: Must be None.
158 assert labels is None
417 must return a tuple `(features, labels)` where `labels` is None, and
|
| /external/tensorflow/tensorflow/examples/speech_commands/ |
| input_data_test.py | 46 def _saveWavFolders(self, root_dir, labels, how_many):
48 for label in labels:
|
| /external/v8/tools/torque/vim-torque/syntax/ |
| torque.vim | 37 syn keyword torqueRel extends generates labels
|
| /external/desugar/java/com/google/devtools/build/android/desugar/ |
| BytecodeTypeInference.java | 578 public void visitTableSwitchInsn(int min, int max, Label dflt, Label... labels) {
580 super.visitTableSwitchInsn(min, max, dflt, labels);
584 public void visitLookupSwitchInsn(Label dflt, int[] keys, Label[] labels) {
586 super.visitLookupSwitchInsn(dflt, keys, labels);
|
| /external/owasp/sanitizer/tools/findbugs/lib/ |
| asm-tree-3.3.jar | |
| asm-util-3.3.jar | |
| /external/tensorflow/tensorflow/contrib/distributions/python/ops/ |
| onehot_categorical.py | 209 ret = -nn_ops.softmax_cross_entropy_with_logits(labels=x_2d,
|
| /external/tensorflow/tensorflow/examples/saved_model/integration_tests/ |
| export_text_rnn_model.py | 126 labels=targets, logits=logits)
|
| /external/tensorflow/tensorflow/python/debug/examples/ |
| debug_mnist.py | 53 xs, ys = mnist.test.images, mnist.test.labels
105 # diff = tf.nn.softmax_cross_entropy_with_logits(labels=y_, logits=logits)
|
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| bernoulli.py | 152 return -nn.sigmoid_cross_entropy_with_logits(labels=event, logits=logits)
|
