| /developers/samples/android/input/autofill/AutofillFramework/afservice/src/main/java/com/example/android/autofill/service/settings/ |
| MyPreferences.java | 20 import android.service.autofill.Dataset;
62 * Gets whether {@link Dataset}s should require authentication.
69 * Enables/disables authentication for individual autofill {@link Dataset}s.
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| /developers/samples/android/input/autofill/AutofillFramework/kotlinApp/Application/src/main/java/com/example/android/autofillframework/multidatasetservice/ |
| AuthActivity.kt | 25 import android.service.autofill.Dataset
44 * It is launched when an Autofill Response or specific Dataset within the Response requires
112 private fun setDatasetIntent(dataset: Dataset) {
113 replyIntent?.putExtra(EXTRA_AUTHENTICATION_RESULT, dataset)
118 // Unique autofillId for dataset intents.
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| /external/tensorflow/tensorflow/contrib/data/python/kernel_tests/ |
| get_single_element_test.py | 36 dataset = (dataset_ops.Dataset.range(100)
41 element = get_single_element.get_single_element(dataset)
49 "Dataset was empty."):
53 "Dataset had more than one element."):
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| range_dataset_op_test.py | 44 iterator = (dataset_ops.Dataset.from_tensor_slices(components).apply(
63 """Test dataset construction using `count`."""
109 iterator = dataset_ops.Dataset.range(start,
156 return dataset_ops.Dataset.range(start, stop)
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| resample_test.py | 42 iterator = (dataset_ops.Dataset.from_tensor_slices(classes).shuffle(
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| /external/tensorflow/tensorflow/contrib/data/python/ops/ |
| batching.py | 15 """Batching dataset transformations."""
36 Like `Dataset.padded_batch()`, this transformation combines multiple
37 consecutive elements of the dataset, which might have different
47 # contents of a dataset.
63 number of consecutive elements of this dataset to combine in a
67 resulting `tf.SparseTensor`. Each element of this dataset must
72 A `Dataset` transformation function, which can be passed to
73 @{tf.data.Dataset.apply}.
76 def _apply_fn(dataset):
77 return DenseToSparseBatchDataset(dataset, batch_size, row_shape
[all...] |
| random_ops.py | 31 class RandomDataset(dataset_ops.Dataset):
32 """A `Dataset` of pseudorandom values."""
35 """A `Dataset` of pseudorandom values."""
|
| stats_ops.py | 33 in this module when defining your @{tf.data.Dataset}. All statistics will be
36 produced by iterating over a dataset:
39 dataset = ...
40 dataset = dataset.apply(stats_ops.bytes_produced_stats("total_bytes"))
47 dataset = ...
48 iterator = dataset.make_one_shot_iterator()
110 """Records the number of bytes produced by each element of the input dataset.
113 over the output dataset.
120 A `Dataset` transformation function, which can be passed t
[all...] |
| /external/tensorflow/tensorflow/contrib/eager/python/examples/mnist/ |
| mnist_test.py | 39 return tf.data.Dataset.from_tensors((images, labels))
47 dataset = random_dataset()
50 mnist.train_one_epoch(model, optimizer, dataset)
55 dataset = random_dataset()
60 mnist.test(model, dataset)
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_colorbot/ |
| rnn_colorbot_test.py | 44 return tf.data.Dataset.from_tensors((labels, chars, sequence_length))
55 dataset = random_dataset()
57 rnn_colorbot.train_one_epoch(model, optimizer, dataset)
64 dataset = random_dataset()
66 rnn_colorbot.test(model, dataset)
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| /developers/samples/android/input/autofill/AutofillFramework/afservice/src/main/java/com/example/android/autofill/service/simple/ |
| BasicService.java | 22 import android.service.autofill.Dataset;
88 Dataset.Builder dataset = new Dataset.Builder(); local
93 // We're simple - our dataset values are hardcoded as "hintN" (for example,
98 dataset.setValue(id, AutofillValue.forText(value), presentation);
100 response.addDataset(dataset.build());
195 * Helper method to create a dataset presentation with the given text.
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| /external/tensorflow/tensorflow/contrib/eager/python/ |
| evaluator_test.py | 114 ds = dataset_ops.Dataset.from_tensor_slices([3.0, 5.0, 7.0, 9.0])
122 ds = dataset_ops.Dataset.from_tensor_slices([3.0, 5.0, 7.0, 9.0])
131 ds = dataset_ops.Dataset.from_tensor_slices([3.0, 5.0, 7.0, 9.0])
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| /external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_ptb/ |
| rnn_ptb_graph_test.py | 81 dataset = tf.data.Dataset.from_tensors(
85 inputs = dataset.make_one_shot_iterator().get_next()
121 dataset = tf.data.Dataset.from_tensors(
126 dataset = tf.data.Dataset.zip((dataset, dataset))
127 (inputs, labels) = dataset.make_one_shot_iterator().get_next(
[all...] |
| /external/tensorflow/tensorflow/contrib/learn/python/learn/datasets/ |
| base.py | 33 Dataset = collections.namedtuple('Dataset', ['data', 'target'])
41 """Load dataset from CSV file with a header row."""
53 return Dataset(data=data, target=target)
60 """Load dataset from CSV file without a header row."""
70 return Dataset(data=data, target=target)
74 """Create a smaller dataset of only 1/ratio of original data."""
88 """Load Iris dataset.
91 data_path: string, path to iris dataset (optional)
94 Dataset object containing data in-memory
[all...] |
| synthetic.py | 15 """Synthetic dataset generators."""
23 from tensorflow.contrib.learn.python.learn.datasets.base import Dataset
44 Shuffled features and labels for 'circles' synthetic dataset of type
45 `base.Dataset`
93 return Dataset(data=X[indices], target=y[indices])
118 Shuffled features and labels for 'spirals' synthetic dataset of type
119 `base.Dataset`
168 return Dataset(data=X[indices], target=y[indices])
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| /cts/tests/autofillservice/src/android/autofillservice/cts/ |
| CannedFillResponse.java | 27 import android.service.autofill.Dataset;
143 * Creates a new response, replacing the dataset field ids by the real ids from the assist
151 final Dataset dataset = cannedDataset.asDataset(nodeResolver); local
152 assertWithMessage("Cannot create datase").that(dataset).isNotNull();
153 builder.addDataset(dataset);
293 public Builder addDataset(CannedDataset dataset) {
295 mDatasets.add(dataset);
477 * Helper class used to produce a {@link Dataset} based on expected fields that should be
513 * Creates a new dataset, replacing the field ids by the real ids from the assist structure
[all...] |
| FillResponseTest.java | 29 import android.service.autofill.Dataset;
51 private final Dataset mDataset = new Dataset.Builder()
209 // dataset only
|
| /external/tensorflow/tensorflow/core/kernels/data/ |
| group_by_window_dataset_op.cc | 21 #include "tensorflow/core/kernels/data/dataset.h"
89 *output = new Dataset(
96 class Dataset : public GraphDatasetBase {
98 Dataset(OpKernelContext* ctx, const DatasetBase* input,
119 ~Dataset() override { input_->Unref(); }
134 string DebugString() override { return "GroupByWindowDatasetOp::Dataset"; }
198 class Iterator : public DatasetIterator<Dataset> {
201 : DatasetIterator<Dataset>(params),
202 input_impl_(params.dataset->input_->MakeIterator(params.prefix)) {}
226 // Iterate through the input dataset until we get a ful
[all...] |
| /external/tensorflow/tensorflow/examples/get_started/regression/ |
| test.py | 63 return data.Dataset.from_tensor_slices(FOUR_LINES.split("\n"))
|
| /developers/build/prebuilts/gradle/AutofillFramework/afservice/src/main/java/com/example/android/autofill/service/model/ |
| FilledAutofillFieldCollection.java | 18 import android.service.autofill.Dataset;
39 * plus the dataset name associated with it.
99 * Returns the name of the {@link Dataset}.
106 * Sets the {@link Dataset} name.
154 * Populates a {@link Dataset.Builder} with appropriate values for each {@link AutofillId}
158 * {@link Dataset.Builder} by applying saved values (from this {@code FilledAutofillFieldCollection})
163 Dataset.Builder datasetBuilder) {
|
| /external/icu/icu4c/source/test/perf/perldriver/ |
| PerfFramework.pm | 14 #use Dataset;
147 my $ds = Dataset->new(@data);
221 # @return a Dataset object, scaled by iterations per pass and
234 my $ds = Dataset->new(@data);
|
| /external/icu/icu4j/perf-tests/ |
| converterperf.pl | 13 use Dataset;
184 # @return a Dataset object, scaled by iterations per pass and
194 my $ds = Dataset->new(@data);
360 #|# Format a confidence interval, as given by a Dataset. Output is as
|
| dateformatperf.pl | 13 use Dataset;
171 # @return a Dataset object, scaled by iterations per pass and
181 my $ds = Dataset->new(@data);
346 #|# Format a confidence interval, as given by a Dataset. Output is as
|
| decimalformatperf.pl | 13 use Dataset;
166 # @return a Dataset object, scaled by iterations per pass and
176 my $ds = Dataset->new(@data);
341 #|# Format a confidence interval, as given by a Dataset. Output is as
|
| normperf.pl | 13 use Dataset;
220 # @return a Dataset object, scaled by iterations per pass and
230 my $ds = Dataset->new(@data);
396 #|# Format a confidence interval, as given by a Dataset. Output is as
|
