| /external/tensorflow/tensorflow/core/kernels/data/ |
| tensor_queue_dataset_op.cc | 24 #include "tensorflow/core/kernels/data/dataset.h"
98 return "PrependFromQueueAndPaddedBatchDatasetOp::Dataset";
157 params.dataset->input_->MakeIterator(
159 params.dataset->dtypes_,
160 params.dataset->shapes_)) {}
168 TF_RETURN_IF_ERROR(queue_->GetNext(ctx, dataset()->batch_size_, &batch,
170 const auto& dtypes = dataset()->dtypes_;
171 const auto& shapes = dataset()->shapes_;
172 const auto& input_shapes = dataset()->input_->output_shapes();
173 const auto& padding_values = dataset()->padding_values_
[all...] |
| filter_dataset_op.cc | 19 #include "tensorflow/core/kernels/data/dataset.h"
51 *output = new Dataset(ctx, input, func_, std::move(captured_func));
57 class Dataset : public GraphDatasetBase {
59 Dataset(OpKernelContext* ctx, const DatasetBase* input,
69 ~Dataset() override { input_->Unref(); }
84 string DebugString() override { return "FilterDatasetOp::Dataset"; }
116 class Iterator : public DatasetIterator<Dataset> {
119 : DatasetIterator<Dataset>(params),
120 input_impl_(params.dataset->input_->MakeIterator(params.prefix)) {}
149 TF_RETURN_IF_ERROR(dataset()->captured_func_->RunWithBorrowedArgs
[all...] |
| map_dataset_op.cc | 19 #include "tensorflow/core/kernels/data/dataset.h"
53 *output = new Dataset(ctx, input, func_, std::move(captured_func),
58 class Dataset : public GraphDatasetBase {
60 Dataset(OpKernelContext* ctx, const DatasetBase* input,
74 ~Dataset() override { input_->Unref(); }
89 string DebugString() override { return "MapDatasetOp::Dataset"; }
123 class Iterator : public DatasetIterator<Dataset> {
126 : DatasetIterator<Dataset>(params),
127 input_impl_(params.dataset->input_->MakeIterator(params.prefix)) {}
146 dataset()->captured_func_->Run(ctx, std::move(args), out_tensors)
[all...] |
| 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...] |
| /external/tensorflow/tensorflow/examples/get_started/regression/ |
| imports85.py | 15 """A dataset loader for imports85.data."""
74 def dataset(y_name="price", train_fraction=0.7): function
75 """Load the imports85 data as a (train,test) pair of `Dataset`.
77 Each dataset generates (features_dict, label) pairs.
118 # If you randomly split the dataset you won't get the same split in both
120 # random split won't work with a dataset that's too big to `.cache()` as
176 train_fraction: the fraction of the dataset to use for training.
|
| custom_regression.py | 87 (train, test) = imports85.dataset()
|
| /frameworks/base/services/autofill/java/com/android/server/autofill/ui/ |
| AutoFillUI.java | 32 import android.service.autofill.Dataset;
54 * input field for choosing a dataset to fill or trigger the response
76 void fill(int requestId, int datasetIndex, @NonNull Dataset dataset);
209 public void onDatasetPicked(Dataset dataset) {
213 final int datasetIndex = response.getDatasets().indexOf(dataset);
214 mCallback.fill(response.getRequestId(), datasetIndex, dataset);
|
| /developers/samples/android/input/autofill/AutofillFramework/afservice/src/main/java/com/example/android/autofill/service/ |
| ManualFieldPickerActivity.java | 85 public void onLoaded(DatasetWithFilledAutofillFields dataset) {
86 mDataset = dataset;
|
| /external/ImageMagick/coders/ |
| meta.c | 310 dataset;
329 dataset = 0;
370 dataset = 255;
372 dataset = (unsigned char) StringToLong(newstr);
414 if (dataset == 255)
492 (void) WriteBlobByte(ofile,(unsigned char) dataset);
606 dataset;
625 dataset = 0;
666 dataset = 255;
668 dataset = (unsigned char) StringToLong(newstr)
306 dataset; local
602 dataset; local
1835 dataset; local
1969 dataset; local
[all...] |
| /external/tensorflow/tensorflow/contrib/data/python/ops/ |
| grouping.py | 15 """Grouping dataset transformations."""
35 This transformation maps each consecutive element in a dataset to a key
48 reduce_func: A function mapping a key and a dataset of up to `window_size`
49 consecutive elements matching that key to another dataset.
60 A `Dataset` transformation function, which can be passed to
61 @{tf.data.Dataset.apply}.
80 def _apply_fn(dataset):
81 """Function from `Dataset` to `Dataset` that applies the transformation."""
82 return GroupByWindowDataset(dataset, key_func, reduce_func
[all...] |
| scan_ops.py | 15 """Scan dataset transformation."""
30 class _ScanDataset(dataset_ops.Dataset):
31 """A dataset that scans a function across its input."""
174 """A transformation that scans a function across an input dataset.
176 This transformation is a stateful relative of @{tf.data.Dataset.map}.
177 In addition to mapping `scan_func` across the elements of the input dataset,
190 A `Dataset` transformation function, which can be passed to
191 @{tf.data.Dataset.apply}.
193 def _apply_fn(dataset):
194 return _ScanDataset(dataset, initial_state, scan_func
[all...] |
| /external/tensorflow/tensorflow/contrib/eager/python/examples/gan/ |
| mnist_graph_test.py | 44 dataset = tf.data.Dataset.from_tensors(images_data)
45 images = dataset.repeat().make_one_shot_iterator().get_next()
|
| /external/tensorflow/tensorflow/contrib/eager/python/examples/resnet50/ |
| resnet50_graph_test.py | 140 dataset = tf.data.Dataset.from_tensors((np_images, np_labels)).repeat()
141 (images, labels) = dataset.make_one_shot_iterator().get_next()
|
| /external/tensorflow/tensorflow/contrib/slim/python/slim/data/ |
| dataset_data_provider_test.py | 25 from tensorflow.contrib.slim.python.slim.data import dataset
74 return dataset.Dataset(
|
| /external/tensorflow/tensorflow/python/data/kernel_tests/ |
| filter_dataset_op_test.py | 48 dataset_ops.Dataset.from_tensor_slices(components).map(_map_fn)
74 # Test an empty dataset.
78 dataset = dataset_ops.Dataset.range(100).filter(
80 iterator = dataset.make_one_shot_iterator()
89 iterator = (dataset_ops.Dataset.range(10)
116 dataset_ops.Dataset.from_tensor_slices([[1, 2, 3], [4, 5, 6]])
145 dataset_ops.Dataset.range(10).map(_map_fn).filter(_filter_fn).map(
|
| interleave_dataset_op_test.py | 69 # Cycle length 1 acts like `Dataset.flat_map()`.
107 dataset = (
108 dataset_ops.Dataset.from_tensor_slices(input_values)
110 .interleave(lambda x: dataset_ops.Dataset.from_tensors(x).repeat(x),
112 iterator = dataset.make_initializable_iterator()
117 # Cycle length 1 acts like `Dataset.flat_map()`.
186 return dataset_ops.Dataset.from_tensor_slices(
190 dataset_ops.Dataset.range(10).map(_map_fn).interleave(
206 dataset_ops.Dataset.from_tensor_slices([])
208 .interleave(dataset_ops.Dataset.from_tensors, cycle_length=2
[all...] |
| iterator_ops_cluster_test.py | 49 dataset_3 = dataset_ops.Dataset.from_tensor_slices([1, 2, 3])
64 dataset_3 = dataset_ops.Dataset.from_tensor_slices([1, 2, 3])
126 input_sentences = dataset_ops.Dataset.from_tensor_slices(
147 # Tests whether a parallel map dataset will be cleaned up correctly when
160 dataset = (
161 dataset_ops.Dataset.from_tensor_slices(components).map(_map_fn)
164 iterator = dataset.make_initializable_iterator()
|
| range_dataset_op_test.py | 48 iterator = dataset_ops.Dataset.range(stop).make_initializable_iterator()
62 iterator = dataset_ops.Dataset.range(start,
78 iterator = dataset_ops.Dataset.range(start, stop,
94 iterator = dataset_ops.Dataset.range(start, stop,
106 iterator = dataset_ops.Dataset.range(start, stop,
123 iterator = dataset_ops.Dataset.range(start,
141 iterator = dataset_ops.Dataset.range(start, stop,
159 iterator = dataset_ops.Dataset.range(start, stop,
192 iterator = dataset_ops.Dataset.range(start,
241 dataset = dataset_ops.Dataset.range(start, stop).repeat(num_epochs
[all...] |
| reader_dataset_ops_test.py | 260 dataset = readers.FixedLengthRecordDataset(
266 iterator = dataset.make_one_shot_iterator()
277 dataset = readers.FixedLengthRecordDataset(
283 iterator = dataset.make_one_shot_iterator()
313 dataset = (readers.FixedLengthRecordDataset(
316 iterator = dataset.make_initializable_iterator()
|
| /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...] |
| /frameworks/base/core/java/android/service/autofill/ |
| FillResponse.java | 74 private final @Nullable ParceledListSlice<Dataset> mDatasets;
110 public @Nullable List<Dataset> getDatasets() {
185 * one dataset or set an authentication intent with a presentation view.
188 private ArrayList<Dataset> mDatasets;
300 * Adds a new {@link Dataset} to this response.
305 * {@link Dataset.Builder#setAuthentication(IntentSender) authenticated dataset} at the end
309 * size can still be reached if each dataset itself is too big.
313 public @NonNull Builder addDataset(@Nullable Dataset dataset) {
[all...] |
| /external/tensorflow/tensorflow/contrib/eager/python/examples/rnn_colorbot/ |
| rnn_colorbot.py | 77 """Parse a line from the colors dataset."""
79 # Each line of the dataset is comma-separated and formatted as
95 # Downloads data at url into data_dir/basename(url). The dataset has a header
105 dataset = tf.data.TextLineDataset(path).skip(1).map(parse).shuffle(
108 return dataset
191 """Computes the average loss on eval_data, which should be a Dataset."""
|
| /prebuilts/devtools/tools/lib/ |
| jfreechart-swt-1.0.9.jar | |
| /prebuilts/tools/common/jfreechart/ |
| jfreechart-1.0.9-swt.jar | |
| /prebuilts/tools/common/m2/repository/jfree/jfreechart-swt/1.0.9/ |
| jfreechart-swt-1.0.9.jar | |
