| /external/tensorflow/tensorflow/python/eager/ |
| benchmarks_test.py | 761 labels = random_ops.random_uniform((10, 10), minval=-1, maxval=1)
762 dataset = dataset_ops.Dataset.from_tensors((data, labels)).repeat()
774 labels = random_ops.random_uniform((10, 10), minval=-1, maxval=1)
775 dataset = dataset_ops.Dataset.from_tensors((data, labels)).repeat()
[all...] |
| /external/tensorflow/tensorflow/python/ops/distributions/ |
| categorical.py | 314 return -nn_ops.sparse_softmax_cross_entropy_with_logits(labels=k,
|
| /art/compiler/optimizing/ |
| code_generator.h | 699 // We use raw array allocations instead of ArenaVector<> because Labels are
702 LabelType* labels = local
705 new(labels + i) LabelType();
707 return labels;
[all...] |
| /device/linaro/bootloader/edk2/StdLib/BsdSocketLib/ |
| ns_print.c | 506 u_int type, algorithm, labels, footprint;
local
517 labels = *rdata++;
522 if (labels != (u_int)dn_count_labels(name))
|
| /external/autotest/client/cros/graphics/ |
| graphics_utils.py | [all...] |
| /external/python/apitools/samples/bigquery_sample/bigquery_v2/ |
| bigquery_v2.py | 283 u'The syntax is "labels.[:]". Multiple filters can be ANDed together '
284 u'by connecting with a space. Example: "labels.department:receiving '
285 u'labels.active". See https://cloud.google.com/bigquery/docs'
310 The syntax is "labels.[:]". Multiple filters can be ANDed together by
311 connecting with a space. Example: "labels.department:receiving
312 labels.active". See https://cloud.google.com/bigquery/docs/labeling-
[all...] |
| /external/python/cpython3/Lib/ |
| sre_compile.py | 619 labels = set()
626 labels.add(to)
628 print('%*d%s ' % (offset_width, start, ':' if start in labels else '.'),
|
| /external/smali/dexlib2/src/main/java/org/jf/dexlib2/builder/ |
| MutableMethodImplementation.java | 100 // have created the referring labels that we look for
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| dnn_linear_combined.py | 143 def _dnn_linear_combined_model_fn(features, labels, mode, params, config=None):
148 labels: `Tensor` of shape [batch_size, 1] or [batch_size] labels of dtype
372 labels=labels,
457 labels which are the output of `input_fn` and returns features and
458 labels which will be fed into the model.
547 If the user specifies `label_keys` in constructor, labels must be strings from
620 Note that class labels are integers representing the class index (i.e.
622 labels), convert to class indices first
[all...] |
| /external/tensorflow/tensorflow/python/ops/parallel_for/ |
| gradients_test.py | 285 labels = np.zeros((batch_size, 10)).astype(np.float32)
286 labels[np.arange(batch_size), sparse_labels] = 1.
291 label = array_ops.gather(labels, i)
|
| control_flow_ops_test.py | 395 labels = random_ops.random_uniform([3, 2, 4])
396 labels /= math_ops.reduce_sum(labels, axis=[2], keepdims=True)
401 labels_i = array_ops.gather(labels, i)
403 labels=labels_i, logits=logits_i)
[all...] |
| /external/v8/src/parsing/ |
| parser.cc | [all...] |
| /external/mesa3d/src/compiler/glsl/ |
| glsl_parser_extras.cpp | [all...] |
| /external/deqp/modules/gles31/functional/ |
| es31fDebugTests.cpp | [all...] |
| /external/syzkaller/vendor/cloud.google.com/go/storage/ |
| bucket.go | 233 // Labels are the bucket's labels.
234 Labels map[string]string
343 Labels: b.Labels,
380 var labels map[string]string
381 if len(b.Labels) > 0 {
382 labels = make(map[string]string, len(b.Labels))
383 for k, v := range b.Labels {
[all...] |
| /external/guice/extensions/persist/lib/ |
| cglib-nodep-3.2.6.jar | |
| /external/tensorflow/tensorflow/python/keras/ |
| backend_test.py | [all...] |
| /external/v8/tools/profviz/ |
| composer.js | 48 var kPauseLabelPadding = 5; // Padding for pause time labels.
50 var kCodeKindLabelPadding = 100; // Padding for code kind labels.
501 // Add labels as legend for code kind colors.
|
| /external/python/apitools/samples/servicemanagement_sample/servicemanagement_v1/ |
| servicemanagement_v1_messages.py | 1174 labels = _messages.MessageField('LabelDescriptor', 3, repeated=True) variable in class:LogDescriptor
1424 labels = _messages.MessageField('LabelDescriptor', 3, repeated=True) variable in class:MetricDescriptor
1509 labels = _messages.MessageField('LabelDescriptor', 3, repeated=True) variable in class:MonitoredResourceDescriptor
[all...] |
| /external/tensorflow/tensorflow/contrib/labeled_tensor/python/ops/ |
| ops.py | 73 that axis lacks labels.
74 KeyError: If any labels in a selection are not found in the original axis.
89 if axis.labels is None:
91 'The axis named %s does not have labels. The axis is: %r' %
161 The coordinate labels for the concatenation dimension are also concatenated,
197 # Accumulate the axis labels, if they're available.
226 and coordinate labels.
356 'axes must have an indicated integer size or labels: %r' % new_axes)
595 # We lose labels for the axes we crop, leaving just the size.
639 # Figure out what the axis labels should be, but use tf.map_fn t
[all...] |
| /external/autotest/server/cros/network/ |
| chaos_clique_utils.py | 67 afe, lock_manager, labels=['webdriver'])
|
| /external/mdnsresponder/mDNSWindows/mdnsNSP/ |
| mdnsNSP.c | 582 int labels = 0; local
594 // Add checks for GetNextLabel returning NULL, individual labels being greater than
595 // 64 bytes, and the number of labels being greater than MAX_LABELS
598 while (replyDomain && *replyDomain && labels < MAX_LABELS)
600 label[labels++] = replyDomain;
604 require_action( labels == 2, exit, err = WSASERVICE_NOT_FOUND );
[all...] |
| /external/minijail/ |
| syscall_filter_unittest.cc | 60 struct bpf_labels* labels,
64 return compile_file(filename.c_str(), policy_file, head, arg_blocks, labels,
73 struct bpf_labels* labels,
75 return compile_policy_line(state, nr, policy_line.c_str(), label_id, labels,
[all...] |
| /external/selinux/libselinux/src/ |
| Makefile | 83 -Wdeprecated-declarations -Wdiv-by-zero -Wdouble-promotion -Wendif-labels -Wextra \
|
| /external/tensorflow/tensorflow/contrib/boosted_trees/estimator_batch/ |
| custom_export_strategy.py | 66 features, _ = feature_engineering_fn(features, labels=None)
|
