/developers/build/prebuilts/gradle/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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/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/eager/python/examples/gan/ |
mnist.py | 99 """Generator of handwritten digits similar to the ones in the MNIST dataset. 203 dataset, log_interval, noise_dim): 204 """Trains `generator` and `discriminator` models on `dataset`. 211 dataset: Dataset of images to train on. 219 for (batch_index, images) in enumerate(tfe.Iterator(dataset)): 269 dataset = (tf.data.Dataset 298 dataset, FLAGS.log_interval, FLAGS.noise)
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/external/tensorflow/tensorflow/contrib/eager/python/examples/mnist/ |
mnist.py | 119 def train_one_epoch(model, optimizer, dataset, log_interval=None): 120 """Trains model on `dataset` using `optimizer`.""" 124 for (batch, (images, labels)) in enumerate(tfe.Iterator(dataset)): 138 def test(model, dataset): 139 """Perform an evaluation of `model` on the examples from `dataset`.""" 143 for (images, labels) in tfe.Iterator(dataset): 156 """Returns training and test tf.data.Dataset objects.""" 158 train_ds = tf.data.Dataset.from_tensor_slices((data.train.images, 160 test_ds = tf.data.Dataset.from_tensors((data.test.images, data.test.labels))
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/external/tensorflow/tensorflow/core/kernels/data/ |
flat_map_dataset_op.cc | 19 #include "tensorflow/core/kernels/data/dataset.h" 54 *output = new Dataset(ctx, input, func_, std::move(captured_func), 59 class Dataset : public GraphDatasetBase { 61 Dataset(OpKernelContext* ctx, const DatasetBase* input, 75 ~Dataset() override { input_->Unref(); } 91 string DebugString() override { return "FlatMapDatasetOp::Dataset"; } 125 class Iterator : public DatasetIterator<Dataset> { 128 : DatasetIterator<Dataset>(params), 129 input_impl_(params.dataset->input_->MakeIterator(params.prefix)) {} 157 // Get the next element from the input dataset [all...] |
batch_dataset_op.cc | 18 #include "tensorflow/core/kernels/data/dataset.h" 41 *output = new Dataset(ctx, batch_size, input); 45 class Dataset : public GraphDatasetBase { 47 Dataset(OpKernelContext* ctx, int64 batch_size, const DatasetBase* input) 52 // we could tell statically that the input dataset is infinite, 62 ~Dataset() override { input_->Unref(); } 79 return strings::StrCat("BatchDatasetOp(", batch_size_, ")::Dataset"); 95 class Iterator : public DatasetIterator<Dataset> { 98 : DatasetIterator<Dataset>(params), 99 input_impl_(params.dataset->input_->MakeIterator(params.prefix)) { [all...] |
concatenate_dataset_op.cc | 17 #include "tensorflow/core/kernels/data/dataset.h" 34 "input dataset and dataset to concatenate" 38 *output = new Dataset(ctx, input, to_concatenate); 42 class Dataset : public GraphDatasetBase { 44 explicit Dataset(OpKernelContext* ctx, const DatasetBase* input, 59 ~Dataset() override { 78 string DebugString() override { return "ConcatenateDatasetOp::Dataset"; } 94 class Iterator : public DatasetIterator<Dataset> { 97 : DatasetIterator<Dataset>(params) [all...] |
iterator_ops.cc | 25 #include "tensorflow/core/kernels/data/dataset.h" 133 return errors::Internal("Error parsing dataset GraphDef."); 138 DatasetBase* dataset = nullptr; local 152 TF_RETURN_IF_ERROR(GetDatasetFromVariantTensor(outputs[0], &dataset)); 154 TF_RETURN_IF_ERROR(set_iterator(dataset->MakeIterator("Iterator"))); 577 DatasetBase* dataset; variable 578 OP_REQUIRES_OK(ctx, GetDatasetFromVariantTensor(ctx->input(0), &dataset)); 583 dataset->MakeIterator("Iterator"))); 603 DatasetBase* dataset; 605 ctx, GetDatasetFromVariantTensor(ctx->input(0), &dataset), done) 800 DatasetBase* dataset; local [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...] |
tensor_dataset_op.cc | 17 #include "tensorflow/core/kernels/data/dataset.h" 31 // Create a new TensorDatasetOp::Dataset, insert it in the step 42 *output = new Dataset(ctx, std::move(components)); 46 class Dataset : public GraphDatasetBase { 48 Dataset(OpKernelContext* ctx, std::vector<Tensor> tensors) 67 string DebugString() override { return "TensorDatasetOp::Dataset"; } 87 class Iterator : public DatasetIterator<Dataset> { 90 : DatasetIterator<Dataset>(params), produced_(false) {} 97 *out_tensors = dataset()->tensors_;
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/external/tensorflow/tensorflow/examples/get_started/regression/ |
linear_regression.py | 33 (train, test) = imports85.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/data/python/kernel_tests/ |
dataset_constructor_op_test.py | 38 dataset = dataset_ops.Dataset.from_tensors(components) 49 new = batching._RestructuredDataset(dataset, new_types, new_shape_lists) 69 new = batching._RestructuredDataset(dataset, new_types, new_shape_lists) 79 return dataset_ops.Dataset.from_tensors(components) 91 return dataset_ops.Dataset.from_tensor_slices(components) 118 return dataset_ops.Dataset.from_sparse_tensor_slices(sparse_components)
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map_dataset_op_test.py | 47 dataset = ( 48 dataset_ops.Dataset.from_tensor_slices(components) 51 iterator = dataset.make_initializable_iterator() 65 dataset = ( 66 dataset_ops.Dataset.from_tensor_slices(components).map( 69 iterator = dataset.make_initializable_iterator() 89 dataset = ( 90 dataset_ops.Dataset.from_tensor_slices(filenames).map( 93 iterator = dataset.make_initializable_iterator() 124 return dataset_ops.Dataset.range(10).map(_map_fn [all...] |
/external/tensorflow/tensorflow/contrib/eager/python/ |
evaluator.py | 42 Or, if you are getting your examples from a tf.data.Dataset, you can use 131 def evaluate_on_dataset(self, dataset, *args, **kwargs): 132 """Convenience method for performing an eval on a Dataset. 135 dataset: Dataset object with the input data to evaluate on. 162 call_op = self.__call__(dataset.make_one_shot_iterator().get_next(), 168 for example in datasets.Iterator(dataset):
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/external/tensorflow/tensorflow/python/data/kernel_tests/ |
iterator_ops_test.py | 55 dataset = dataset_ops.Dataset.from_tensor_slices(component).map(add) 56 value = dataset.make_one_shot_iterator().get_next() 66 dataset = (dataset_ops.Dataset.from_tensor_slices([0.0, 1.0, 2.0]) 69 ValueError, r"`Dataset.make_one_shot_iterator\(\)` does not support " 71 dataset.make_one_shot_iterator() 81 iterator = (dataset_ops.Dataset.from_tensor_slices(components).map(_map_fn) 106 iterator = (dataset_ops.Dataset.from_tensor_slices(tensor_components) 130 iterator = (dataset_ops.Dataset.from_tensor_slices(components [all...] |
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...] |
/frameworks/base/services/autofill/java/com/android/server/autofill/ |
Helper.java | 25 import android.service.autofill.Dataset; 64 * Maximum number of visible datasets in the dataset picker UI. 101 static ArrayMap<AutofillId, AutofillValue> getFields(@NonNull Dataset dataset) { 102 final ArrayList<AutofillId> ids = dataset.getFieldIds(); 103 final ArrayList<AutofillValue> values = dataset.getFieldValues();
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/external/tensorflow/tensorflow/python/data/ops/ |
dataset_ops.py | 47 @tf_export("data.Dataset") 48 class Dataset(object): 51 A `Dataset` can be used to represent an input pipeline as a 62 """Creates a scalar `tf.Tensor` of `tf.variant` representing this dataset. 65 A scalar `tf.Tensor` of `tf.variant` type, which represents this dataset. 67 raise NotImplementedError("Dataset._as_variant_tensor") 70 """Creates an `Iterator` for enumerating the elements of this dataset. 76 dataset = ... 77 iterator = dataset.make_initializable_iterator() 88 An `Iterator` over the elements of this dataset [all...] |
/prebuilts/devtools/tools/lib/ |
jfreechart-1.0.9.jar | |
/prebuilts/tools/common/jfreechart/ |
jfreechart-1.0.9.jar | |
/prebuilts/tools/common/m2/repository/jfree/jfreechart/1.0.9/ |
jfreechart-1.0.9.jar | |
/cts/tests/autofillservice/src/android/autofillservice/cts/ |
OptionalSaveActivityTest.java | 199 // Initial dataset 224 // Initial dataset 248 // Initial dataset 272 // Initial dataset 295 private void autofillAndSaveOnChangeTest(CannedDataset.Builder dataset, Runnable changes, 302 .addDataset(dataset.setPresentation(createPresentation("Da Dataset")).build()) 313 mUiBot.selectDataset("Da Dataset"); 391 private void autofillNoChangeNoSaveTest(CannedDataset.Builder dataset, Runnable changes) 398 .addDataset(dataset.setPresentation(createPresentation("Da Dataset")).build() [all...] |
/external/tensorflow/tensorflow/contrib/data/kernels/ |
ignore_errors_dataset_op.cc | 15 #include "tensorflow/core/framework/dataset.h" 34 *output = new Dataset(ctx, input); 38 class Dataset : public GraphDatasetBase { 40 explicit Dataset(OpKernelContext* ctx, const DatasetBase* input) 45 ~Dataset() override { input_->Unref(); } 60 string DebugString() override { return "IgnoreErrorsDatasetOp::Dataset"; } 72 class Iterator : public DatasetIterator<Dataset> { 75 : DatasetIterator<Dataset>(params), 76 input_impl_(params.dataset->input_->MakeIterator(params.prefix)) {}
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/external/tensorflow/tensorflow/contrib/slim/ |
__init__.py | 40 from tensorflow.contrib.slim.python.slim.data import dataset
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