| /device/linaro/bootloader/edk2/EdkCompatibilityPkg/Other/Maintained/Tools/Pccts/sorcerer/lib/ |
| astlib.c | 327 ast_scanmatch(ScanAST *t, SORAST *u, SORAST **labels[], int *n)
329 ast_scanmatch(t, u, labels, n)
332 SORAST **labels[];
348 require(labels!=NULL, "label found in template, but no array of labels");
350 *(labels[sib->label_num-1]) = u;
354 if ( !ast_scanmatch(sib->down, u->ast_down, labels, n) ) return 0;
551 * may be set according to the '%i' labels in the template string.
568 * matched against the input tree. The labels are set as they are
573 * This function returns the number of labels matched.
[all...] |
| /external/python/cpython2/Lib/ |
| mailbox.py | [all...] |
| /external/python/cpython3/Lib/ |
| dis.py | 311 labels = findlabels(code)
318 is_jump_target = offset in labels
423 labels = []
432 if label not in labels:
433 labels.append(label)
434 return labels
|
| /external/tensorflow/tensorflow/contrib/autograph/examples/benchmarks/ |
| cartpole_benchmark.py | 138 labels = 1.0 - tf.cast(actions, tf.float32)
140 labels=labels, logits=logits)
310 labels = 1.0 - tf.cast(actions, tf.float32)
311 return tf.nn.sigmoid_cross_entropy_with_logits(labels=labels, logits=logits)
|
| /external/tensorflow/tensorflow/contrib/pi_examples/camera/ |
| camera.cc | 283 // Takes a file name, and loads a list of labels from it, one per line, and
290 return tensorflow::errors::NotFound("Labels file ", file_name,
306 // Given the output of a model run, and the name of a file containing the labels
309 const std::vector<string>& labels, int label_count,
320 LOG(INFO) << labels[label_index] << " (" << label_index << "): " << score;
323 std::cout << labels[label_index] << std::endl;
417 Flag("labels", &labels_file_name, "labels file name"),
427 "print labels with scoe exceeding this"),
447 std::vector<string> labels; local
[all...] |
| /external/tensorflow/tensorflow/contrib/training/python/training/ |
| sampling_ops_test.py | 88 # Batch dimensions on data and labels should be equal.
193 data_batch, labels = sampling_ops.stratified_sample(
204 sess.run([data_batch, labels])
214 # Make sure that these vals/labels pairs don't throw any runtime exceptions.
230 for vals, labels in legal_input_pairs:
234 labels_ph: labels})
281 data_batch, labels = sampler(val, label, probs, batch_size)
283 # Run session and keep track of how frequently the labels and values appear.
294 [data], lbls = sess.run([data_batch, labels])
301 # First check that the data matches the labels
[all...] |
| /external/tensorflow/tensorflow/examples/speech_commands/ |
| input_data.py | 250 which partition it should belong to, and with ground truth labels attached.
253 labels for each file based on the name of the subdirectory it belongs to,
259 wanted_words: Labels of the classes we want to be able to recognize.
300 ' in labels but only found ' +
538 # Data and labels will be populated and returned.
540 labels = np.zeros(sample_count)
605 labels[i - offset] = label_index
606 return data, labels
647 List of sample data for the samples, and list of labels in one-hot form.
657 labels = [
[all...] |
| /external/autotest/tko/ |
| job_serializer.py | 58 'labels':list}
224 fields_dict['labels'] = list(test.labels)
247 fields_dict['labels'])
277 for current_label in tko_test.labels:
278 pb_test.labels.append(current_label)
|
| job_serializer_unittest.py | 202 self.assertEqual(test.labels, newtest.labels)
347 self.assertEqual(test.labels, newtest.labels)
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/ |
| kmeans.py | 116 def _kmeans_clustering_model_fn(features, labels, mode, params, config):
118 assert labels is None, labels
|
| /external/tensorflow/tensorflow/contrib/text/python/ops/ |
| skip_gram_ops.py | 65 `(tokens, labels)` pairs for the token "quick" will be randomly selected from
66 either `(tokens=["quick", "quick"], labels=["the", "brown"])` for 1 skip, or
67 `(tokens=["quick", "quick", "quick"], labels=["the", "brown", "fox"])` for 2
72 `(tokens=["quick", "quick", "quick"], labels=["the", "quick", "brown"])` for 1
73 skip, or `(tokens=["quick", "quick", "quick", "quick"], labels=["the",
78 tokens, another for all the labels).
179 tokens, labels = gen_skip_gram_ops.skip_gram_generate_candidates(
195 # Batches the (tokens, labels) outputs so that they will be of deterministic
202 [tokens, labels],
207 return tokens, labels
[all...] |
| /external/tensorflow/tensorflow/core/util/ctc/ |
| ctc_beam_search_test.cc | 35 std::vector<int> labels; member in struct:__anon45754::HistoryBeamState
52 // Keep track of the current complete candidate by storing the labels along
54 to_state->labels.push_back(to_label);
86 const std::vector<int>& candidate = state->labels;
224 // A beam decoder to test label selection. It simply models N labels with
243 // Drop off rapidly for later labels.
259 // Decoder which drops off log-probabilities for labels 0 >> 1 >> 2 >> 3.
265 // Log probabilities, slightly preferring later labels, this decision
266 // should be overridden by the scorer which strongly prefers earlier labels.
282 // this is suboptimal because only labels 3 and 4 were allowed to be seen
[all...] |
| /external/tensorflow/tensorflow/lite/examples/label_image/ |
| label_image.cc | 50 // Takes a file name, and loads a list of labels from it, one per line, and
58 LOG(FATAL) << "Labels file " << file_name << " not found\n";
241 std::vector<string> labels; local
244 if (ReadLabelsFile(s->labels_file_name, &labels, &label_count) != kTfLiteOk)
250 LOG(INFO) << confidence << ": " << index << " " << labels[index] << "\n"; local
263 << "--labels, -l: labels for the model\n"
283 {"labels", required_argument, nullptr, 'l'},
|
| /external/tensorflow/tensorflow/python/keras/preprocessing/ |
| sequence_test.py | 85 # test with no window size and binary labels
86 couples, labels = keras.preprocessing.sequence.skipgrams(
92 # test window size and categorical labels
93 couples, labels = keras.preprocessing.sequence.skipgrams(
97 for l in labels:
|
| /development/tools/repo_pull/ |
| gerrit.py | 158 def set_review(url_opener, gerrit_url, change_id, labels, message):
165 if labels:
166 data['labels'] = labels
|
| /device/linaro/bootloader/edk2/BaseTools/Source/C/VfrCompile/Pccts/h/ |
| PCCTSAST.h | 98 int scanmatch(ScanAST *t, PCCTS_AST **labels[], int *n);
|
| /device/linaro/bootloader/edk2/EdkCompatibilityPkg/Other/Maintained/Tools/Pccts/h/ |
| PCCTSAST.h | 98 int scanmatch(ScanAST *t, PCCTS_AST **labels[], int *n);
|
| /external/autotest/cli/ |
| skylab_utils.py | 83 """Set review labels and submit the inventory change.
87 logging.info('Setting review labels for %s.',
92 labels={'Code-Review': 2, 'Verified': 1},
|
| /external/autotest/server/site_tests/audio_InternalCardNodes/ |
| audio_InternalCardNodes.py | 79 if 'audio_box' in host_info.labels:
|
| /external/autotest/utils/ |
| labellib.py | 5 """This module provides standard functions for working with Autotest labels.
7 There are two types of labels, plain ("webcam") or keyval
9 labels.
12 interface for working with keyval labels.
31 """dict-like interface for working with labels.
33 The constructor takes an iterable of labels, either plain or keyval.
34 Plain labels are saved internally and ignored except for converting
35 back to string labels. Keyval labels are exposed through a
39 When multiple keyval labels share the same key, the first one wins
[all...] |
| /external/bcc/examples/lua/ |
| sock-parse-dns.lua | 31 -- Unroll QNAME (up to 2 labels)
|
| /external/swiftshader/third_party/llvm-7.0/llvm/test/MC/RISCV/ |
| hilo-constaddr-expr.s | 9 # involving labels when diff expressions are emitted as relocation pairs.
|
| /external/tensorflow/tensorflow/contrib/framework/python/framework/ |
| tensor_util_test.py | 371 labels = constant_op.constant(input_labels_value, dtype=dtypes.int32)
373 labels = array_ops.placeholder(dtype=dtypes.int32, name="labels")
374 feed_dict[labels] = input_labels_value
377 tensor_util.remove_squeezable_dimensions(predictions, labels))
|
| /external/tensorflow/tensorflow/core/grappler/costs/ |
| analytical_cost_estimator_test.cc | 61 auto labels = ops::RandomUniform(s.WithOpName("label"), {batch, num_labels}, local
|
| /external/tensorflow/tensorflow/python/tpu/ |
| tpu_estimator_signals_test.py | 189 features, labels = inputs.features_and_labels()
199 sess.run([features, labels, signals]))
208 sess.run([features, labels, signals]))
217 sess.run([features, labels, signals]))
|
