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  /external/llvm/test/MC/ARM/
directive-arch_extension-mode-switch.s 3 @ Ensure that a mode switch does not revert the architectural features that were
  /external/python/cpython2/Lib/compiler/
future.py 18 features = ("nested_scopes", "generators", "division", variable in class:FutureParser
34 if name in self.features:
44 """Return list of features enabled by future statements"""
  /external/syslinux/com32/hdt/
hdt-menu-summary.c 55 char features[255]={0}; local
60 sprintf(features, "%d core%s, %dK L2 Cache", hardware->cpu.num_cores,
63 strcat(features, ", 64bit");
65 strcat(features, ", 32bit");
67 strcat(features, ", SMP");
69 strcat(features, ", HwVIRT");
70 snprintf(buffer, sizeof buffer, "%s", features);
71 snprintf(statbuffer, sizeof statbuffer, "Features : %s", features);
  /external/syslinux/gpxe/src/include/gpxe/
virtio-pci.h 4 /* A 32-bit r/o bitmask of the features supported by the host */
7 /* A 32-bit r/w bitmask of features activated by the guest */
45 static inline void vp_set_features(unsigned int ioaddr, u32 features)
47 outl(features, ioaddr + VIRTIO_PCI_GUEST_FEATURES);
  /external/tensorflow/tensorflow/contrib/labeled_tensor/python/ops/
io_ops.py 63 def _labeled_to_unlabeled_features(features):
66 for name, labeled_feature in features.items():
82 def parse_example(serialized, features, name=None, example_names=None):
90 features: A `dict` mapping feature keys to `labeled_tensor.FixedLenFeature`
104 unlabeled_features = _labeled_to_unlabeled_features(features)
111 axes = list(serialized.axes.values()) + features[name].axes
120 def parse_single_example(serialized, features, name=None, example_names=None):
128 features: A `dict` mapping feature keys to `labeled_tensor.FixedLenFeature`
140 unlabeled_features = _labeled_to_unlabeled_features(features)
147 parsed[name] = core.LabeledTensor(parsed_feature, features[name].axes
    [all...]
  /external/tensorflow/tensorflow/contrib/learn/python/learn/utils/
export.py 304 features = input_fn(estimator, examples)
306 features, _ = input_fn()
309 examples = features.pop(input_feature_key)
311 if (not features) and (examples is None):
312 raise ValueError('Either features or examples must be defined.')
314 predictions = estimator._get_predict_ops(features).predictions
322 features,
332 signature_fn(examples, features, predictions))
343 examples, features, predictions)
  /external/tensorflow/tensorflow/examples/get_started/regression/
dnn_regression.py 35 def normalize_price(features, labels):
36 return features, labels / PRICE_NORM_FACTOR
59 # `categorical_column_with_vocabulary_file`). For features covering a
linear_regression_categorical.py 15 """Linear regression with categorical features."""
35 def normalize_price(features, labels):
36 return features, labels / PRICE_NORM_FACTOR
77 # This model uses the same two numeric features as `linear_regressor.py`
  /frameworks/base/packages/ExtServices/src/android/ext/services/resolver/
LRResolverRankerService.java 74 ArrayMap<String, Float> features = getFeatures(target); local
75 target.setSelectProbability(predict(features));
129 ArrayMap<String, Float> features = new ArrayMap<>(4); local
130 features.put(RECENCY_SCORE, target.getRecencyScore());
131 features.put(TIME_SPENT_SCORE, target.getTimeSpentScore());
132 features.put(LAUNCH_SCORE, target.getLaunchScore());
133 features.put(CHOOSER_SCORE, target.getChooserScore());
134 return features;
  /packages/apps/DocumentsUI/src/com/android/documentsui/
SharedInputHandler.java 24 import com.android.documentsui.base.Features;
36 private final Features mFeatures;
44 Features features) {
49 mFeatures = features;
  /prebuilts/gdb/darwin-x86/lib/python2.7/compiler/
future.py 18 features = ("nested_scopes", "generators", "division", variable in class:FutureParser
34 if name in self.features:
44 """Return list of features enabled by future statements"""
  /prebuilts/gdb/linux-x86/lib/python2.7/compiler/
future.py 18 features = ("nested_scopes", "generators", "division", variable in class:FutureParser
34 if name in self.features:
44 """Return list of features enabled by future statements"""
  /prebuilts/python/darwin-x86/2.7.5/lib/python2.7/compiler/
future.py 18 features = ("nested_scopes", "generators", "division", variable in class:FutureParser
34 if name in self.features:
44 """Return list of features enabled by future statements"""
  /prebuilts/python/linux-x86/2.7.5/lib/python2.7/compiler/
future.py 18 features = ("nested_scopes", "generators", "division", variable in class:FutureParser
34 if name in self.features:
44 """Return list of features enabled by future statements"""
  /sdk/eclipse/scripts/
update_version.sh 64 features/com.android.ide.eclipse.*/pom.xml \
65 features/com.android.ide.eclipse.adt.package/feature.xml ; do
  /system/bt/bta/hf_client/
bta_hf_client_sdp.cc 90 tBTA_HF_CLIENT_FEAT features,
134 /* add features */
135 if (features & BTA_HF_CLIENT_FEAT_ECNR)
138 if (features & BTA_HF_CLIENT_FEAT_3WAY)
141 if (features & BTA_HF_CLIENT_FEAT_CLI) sdp_features |= BTA_HF_CLIENT_FEAT_CLI;
143 if (features & BTA_HF_CLIENT_FEAT_VREC)
146 if (features & BTA_HF_CLIENT_FEAT_VOL) sdp_features |= BTA_HF_CLIENT_FEAT_VOL;
149 if (features & BTA_HF_CLIENT_FEAT_CODEC) sdp_features |= 0x0020;
179 client_cb_arr->features,
248 /* get features */
    [all...]
  /external/tensorflow/tensorflow/contrib/layers/python/layers/
target_column.py 167 def get_eval_ops(self, features, logits, labels, metrics=None):
183 def get_weight_tensor(self, features):
188 math_ops.to_float(features[self._weight_column_name]), shape=(-1,))
202 def training_loss(self, logits, target, features, name="training_loss"):
217 features: features dict.
226 weight_tensor = self.get_weight_tensor(features)
232 def loss(self, logits, target, features):
243 features: features dict
    [all...]
  /packages/services/Telecomm/src/com/android/server/telecom/
CallLogManager.java 67 * @param features The features of the call (e.g. FEATURES_VIDEO). @see
77 int features, PhoneAccountHandle accountHandle, long creationDate,
87 this.features = features;
105 public final int features; field in class:CallLogManager.AddCallArgs
253 * @param features The features of the call.
269 int features,
308 viaNumber, presentation, callType, features, accountHandle, start, duration
327 int features = 0; local
    [all...]
  /cts/hostsidetests/devicepolicy/app/AccountCheck/Tester/src/com/android/cts/devicepolicy/accountcheck/tester/
TestAuthenticator.java 55 final String[] features = intent.getStringArrayExtra("features"); local
56 createAccount(this, ACCOUNT_TYPE, features);
126 String[] features) throws NetworkErrorException {
133 for (String requested : features) {
140 Log.i(TAG, "Checking feature for account '" + account + "' for features="
141 + Arrays.asList(features) + " result=" + hasAll);
  /cts/tests/tests/content/src/android/content/pm/cts/
FeatureGroupInfoTest.java 117 group.features = featureInfos;
123 if (g.features != null) {
124 Arrays.sort(g.features, sFeatureInfoComparator);
150 return compareFeatureInfoArrays(o1.features, o2.features);
  /external/guava/guava-gwt/test-super/com/google/common/collect/testing/super/com/google/common/collect/testing/testers/
CollectionIteratorTester.java 21 import static com.google.common.collect.testing.features.CollectionFeature.KNOWN_ORDER;
22 import static com.google.common.collect.testing.features.CollectionFeature.SUPPORTS_ITERATOR_REMOVE;
29 import com.google.common.collect.testing.features.CollectionFeature;
92 private void runIteratorTest(Set<IteratorFeature> features,
94 new IteratorTester<E>(Platform.collectionIteratorTesterNumIterations(), features, elements, local
  /external/guava/guava-testlib/src/com/google/common/collect/testing/testers/
CollectionIteratorTester.java 21 import static com.google.common.collect.testing.features.CollectionFeature.KNOWN_ORDER;
22 import static com.google.common.collect.testing.features.CollectionFeature.SUPPORTS_ITERATOR_REMOVE;
30 import com.google.common.collect.testing.features.CollectionFeature;
94 private void runIteratorTest(Set<IteratorFeature> features,
96 new IteratorTester<E>(Platform.collectionIteratorTesterNumIterations(), features, elements, local
  /external/tensorflow/tensorflow/python/estimator/canned/
dnn_test.py 277 example = example_pb2.Example(features=feature_pb2.Features(
292 features = _queue_parsed_features(feature_map)
293 labels = features.pop('y')
294 return features, labels
299 features = _queue_parsed_features(feature_map)
300 labels = features.pop('y')
301 return features, labels
306 features = _queue_parsed_features(feature_map)
307 features.pop('y'
    [all...]
  /packages/apps/DocumentsUI/src/com/android/documentsui/services/
FileOperation.java 38 import com.android.documentsui.base.Features;
98 abstract Job createJob(Context service, Job.Listener listener, String id, Features features);
138 CopyJob createJob(Context service, Job.Listener listener, String id, Features features) {
140 service, listener, id, getDestination(), getSrc(), getMessenger(), features);
179 CopyJob createJob(Context service, Job.Listener listener, String id, Features features) {
181 getMessenger(), features);
221 CopyJob createJob(Context service, Job.Listener listener, String id, Features features)
    [all...]
  /external/tensorflow/tensorflow/python/kernel_tests/
sparse_xent_op_test.py 48 def _npXent(self, features, labels):
49 features = np.reshape(features, [-1, features.shape[-1]])
53 batch_size = features.shape[batch_dim]
54 e = np.exp(features - np.reshape(
56 features, axis=class_dim), [batch_size, 1]))
84 features = [[1., 1., 1., 1.], [1., 1., 1., 1.], [1., 2., 3., 4.],
91 features, labels))
104 features, labels)
    [all...]

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