| /external/tensorflow/tensorflow/core/kernels/data/ |
| prefetch_dataset_op.cc | 19 #include "tensorflow/core/kernels/data/dataset.h"
43 *output = new Dataset(ctx, input, buffer_size);
47 class Dataset : public GraphDatasetBase {
49 Dataset(OpKernelContext* ctx, const DatasetBase* input, int64 buffer_size)
54 ~Dataset() override { input_->Unref(); }
69 string DebugString() override { return "PrefetchDatasetOp::Dataset"; }
84 class Iterator : public DatasetIterator<Dataset> {
87 : DatasetIterator<Dataset>(params),
88 input_impl_(params.dataset->input_->MakeIterator(params.prefix)) {}
121 "PrefetchDatasetOp::Dataset::Iterator::GetNext")
[all...] |
| 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/learn/ |
| boston.py | 14 """Example of DNNRegressor for Housing dataset."""
30 # Load dataset
34 # Split dataset into train / test
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/datasets/ |
| boston_housing.py | 15 """Boston housing price regression dataset.
29 """Loads the Boston Housing dataset.
32 path: path where to cache the dataset locally
|
| /external/tensorflow/tensorflow/contrib/data/python/kernel_tests/ |
| bucketing_test.py | 41 dataset_ops.Dataset.from_tensor_slices(components).map(lambda x: x * x)
69 dataset_ops.Dataset.from_tensor_slices(components).repeat(-1).apply(
90 dataset_ops.Dataset.from_tensor_slices(components).apply(
117 dataset_ops.Dataset.from_tensor_slices(components)
135 return dataset_ops.Dataset.zip((
143 dataset_ops.Dataset.from_tensor_slices(components)
169 return dataset_ops.Dataset.from_tensor_slices(components).repeat(-1).apply(
203 return dataset_ops.Dataset.zip(
204 (dataset_ops.Dataset.from_tensors(bucket),
216 dataset_ops.Dataset.from_tensor_slices(math_ops.range(32)).map(_map_fn)
[all...] |
| sequence_dataset_op_test.py | 32 return dataset_ops.Dataset.from_tensor_slices(components).skip(count)
52 return dataset_ops.Dataset.from_tensor_slices(components).take(count)
74 return dataset_ops.Dataset.from_tensor_slices(components).take(
100 # Test repeat empty dataset
|
| unique_dataset_op_test.py | 44 dataset = dataset_ops.Dataset.from_generator(lambda: current_test_case,
46 iterator = dataset.make_initializable_iterator()
88 return dataset_ops.Dataset.range(num_elements).map(
|
| /external/tensorflow/tensorflow/python/data/kernel_tests/ |
| batch_dataset_op_test.py | 41 """Test an dataset that maps a TF function across its input elements."""
55 dataset_ops.Dataset.from_tensor_slices(components).map(_map_fn)
117 iterator = dataset_ops.Dataset.range(10).map(_sparse).batch(
144 iterator = dataset_ops.Dataset.range(10).map(_sparse).batch(
174 iterator = dataset_ops.Dataset.range(10).map(_sparse).batch(5).batch(
200 dataset_ops.Dataset.from_generator(
218 dataset_ops.Dataset.from_tensor_slices(seq_lens)
282 dataset_ops.Dataset.from_tensor_slices(seq_lens).map(fill_tuple)
325 dataset = dataset_ops.Dataset.from_generator
[all...] |
| /cts/tests/autofillservice/src/android/autofillservice/cts/ |
| DatasetFilteringTest.java | 91 // Only one dataset start with 'aa'
103 // No dataset start with 'aaa'
145 // Only one dataset start with 'aa'
157 // No dataset start with 'aaa'
202 // One dataset start with 'aa' and one with null value always shown
214 // No dataset start with 'aaa' and one with null value always shown
264 // Dataset presentations.
298 // Only one dataset start with 'aa'
310 // No dataset start with 'aaa'
320 // Dataset presentations
[all...] |
| /developers/build/prebuilts/gradle/RecyclerView/kotlinApp/app/src/main/java/com/example/android/recyclerview/ |
| RecyclerViewFragment.kt | 38 private lateinit var dataset: Array<String>
45 // Initialize dataset, this data would usually come from a local content provider or
73 recyclerView.adapter = CustomAdapter(dataset)
130 dataset = Array(DATASET_COUNT, {i -> "This is element # $i"})
|
| /developers/samples/android/ui/views/RecyclerView/kotlinApp/app/src/main/java/com/example/android/recyclerview/ |
| RecyclerViewFragment.kt | 38 private lateinit var dataset: Array<String>
45 // Initialize dataset, this data would usually come from a local content provider or
73 recyclerView.adapter = CustomAdapter(dataset)
130 dataset = Array(DATASET_COUNT, {i -> "This is element # $i"})
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/mnist/ |
| mnist_graph_test.py | 43 # Create a model, optimizer, and dataset as would be done
47 dataset = tf.data.Dataset.from_tensors((images, labels))
51 (images, labels) = dataset.make_one_shot_iterator().get_next()
|
| /external/tensorflow/tensorflow/contrib/kafka/python/ops/ |
| kafka_dataset_ops.py | 15 """Kafka Dataset."""
21 from tensorflow.python.data.ops.readers import Dataset
27 class KafkaDataset(Dataset):
28 """A Kafka Dataset that consumes the message.
|
| /external/tensorflow/tensorflow/contrib/slim/python/slim/data/ |
| BUILD | 15 ":dataset",
45 name = "dataset",
46 srcs = ["dataset.py"],
65 ":dataset",
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
| decision_node_evaluator.h | 32 virtual int32 Decide(const std::unique_ptr<TensorDataSet>& dataset,
52 int32 Decide(const std::unique_ptr<TensorDataSet>& dataset,
70 int32 Decide(const std::unique_ptr<TensorDataSet>& dataset,
85 int32 Decide(const std::unique_ptr<TensorDataSet>& dataset,
|
| /external/tensorflow/tensorflow/core/api_def/base_api/ |
| api_def_FixedLengthRecordDataset.pbtxt | 36 summary: "Creates a dataset that emits the records from one or more binary files."
|
| api_def_PaddedBatchDataset.pbtxt | 26 summary: "Creates a dataset that batches and pads `batch_size` elements from the input."
|
| /external/tensorflow/tensorflow/docs_src/programmers_guide/ |
| using_tpu.md | 9 * Are familiar with TensorFlow's `Estimator` and `Dataset` APIs
306 fixed size. The last batch of a finite `Dataset`, however, is typically smaller,
307 containing just the remaining elements. Since a `Dataset` does not know its own
308 length or finiteness, the standard @{tf.data.Dataset.batch$`batch`} method
313 >>> ds = tf.data.Dataset.from_tensors([0, 1, 2])
321 @{tf.data.Dataset.apply$apply} @{tf.contrib.data.batch_and_drop_remainder}
326 >>> ds = tf.data.Dataset.from_tensors([0, 1, 2])
335 method throws out any fractional batch at the end of the dataset. This is fine
336 for an infinitely repeating dataset being used for training, but could be a
345 Efficient use of the `tf.data.Dataset` API is critical when using a Clou
[all...] |
| /developers/build/prebuilts/gradle/AutofillFramework/afservice/src/main/java/com/example/android/autofill/service/settings/ |
| MyPreferences.java | 56 * Gets whether {@link Dataset}s should require authentication.
63 * Enables/disables authentication for individual autofill {@link Dataset}s.
|
| /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.
|
| /external/tensorflow/tensorflow/contrib/learn/python/learn/datasets/ |
| 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])
|
| /external/tensorflow/tensorflow/contrib/tpu/profiler/ |
| trace_events.proto | 40 // The id of the device that this event occurred on. The full dataset should
44 // The id of the resource that this event occurred on. The full dataset should
|
| /external/walt/android/WALT/app/src/main/java/org/chromium/latency/walt/ |
| HistogramChart.java | 66 final BarDataSet dataSet = new BarDataSet(new ArrayList<BarEntry>(), "");
67 dataSet.setColor(ColorTemplate.MATERIAL_COLORS[i]);
68 dataSets.add(dataSet);
144 for (IBarDataSet dataSet : barChart.getBarData().getDataSets()) {
145 dataSet.clear();
259 final IBarDataSet dataSet = barData.getDataSetByIndex(setNum);
260 dataSet.clear();
262 dataSet.addEntry(new BarEntry(i, bins[setNum][i]));
|
| /frameworks/base/tests/UiBench/src/com/android/test/uibench/recyclerview/ |
| RvArrayAdapter.java | 41 public RvArrayAdapter(String[] dataSet) {
42 mDataSet = dataSet;
|
| /packages/apps/Contacts/src/com/android/contacts/group/ |
| GroupListItem.java | 33 public GroupListItem(String accountName, String accountType, String dataSet, long groupId,
38 mDataSet = dataSet;
|
