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  /external/tensorflow/tensorflow/contrib/distribute/python/examples/
keras_mnist.py 45 (x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()
106 # Build the train and eval datasets from the MNIST data. Also return the
mnist_eager_multigpu.py 74 (x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()
79 # converting to datasets.
mnist_tf1_tpu.py 72 (x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()
77 # converting to datasets.
  /external/tensorflow/tensorflow/contrib/learn/python/learn/estimators/
logistic_regressor_test.py 26 from tensorflow.contrib.learn.python.learn.datasets import base
nonlinear_test.py 24 from tensorflow.contrib.learn.python.learn.datasets import base
composable_model_test.py 23 from tensorflow.contrib.learn.python.learn.datasets import base
stability_test.py 25 from tensorflow.contrib.learn.python.learn.datasets import base
  /external/tensorflow/tensorflow/examples/tutorials/layers/
cnn_mnist.py 120 mnist = tf.contrib.learn.datasets.load_dataset("mnist")
  /developers/build/prebuilts/gradle/AutofillFramework/afservice/src/main/java/com/example/android/autofill/service/
AuthActivity.java 204 public void onLoaded(List<DatasetWithFilledAutofillFields> datasets) {
207 fieldTypesByAutofillHint, datasets, datasetAuth);
ManualActivity.java 115 public void onLoaded(List<DatasetWithFilledAutofillFields> datasets) {
116 mAllDatasets = datasets;
258 * Adapter for the {@link RecyclerView} that holds a list of datasets.
293 * Contains views needed in each row of the list of datasets.
  /developers/samples/android/input/autofill/AutofillFramework/afservice/src/main/java/com/example/android/autofill/service/
AuthActivity.java 204 public void onLoaded(List<DatasetWithFilledAutofillFields> datasets) {
207 fieldTypesByAutofillHint, datasets, datasetAuth);
ManualActivity.java 115 public void onLoaded(List<DatasetWithFilledAutofillFields> datasets) {
116 mAllDatasets = datasets;
258 * Adapter for the {@link RecyclerView} that holds a list of datasets.
293 * Contains views needed in each row of the list of datasets.
  /external/tensorflow/tensorflow/examples/tf2_showcase/
mnist.py 116 (x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()
190 # Load the datasets
240 _, (x_test, y_test) = tf.keras.datasets.mnist.load_data()
  /external/python/apitools/samples/bigquery_sample/bigquery_v2/
bigquery_v2.py 166 """Command wrapping datasets.Delete."""
202 result = client.datasets.Delete(
208 """Command wrapping datasets.Get."""
228 result = client.datasets.Get(
234 """Command wrapping datasets.Insert."""
262 result = client.datasets.Insert(
268 """Command wrapping datasets.List."""
277 u'Whether to list all datasets, including hidden ones',
286 u'/labeling-datasets#filtering_datasets_using_labels for details.',
301 """Lists all datasets in the specified project to which you have bee
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bigquery_v2_messages.py 62 all: Whether to list all datasets, including hidden ones
67 datasets#filtering_datasets_using_labels for details.
71 projectId: Project ID of the datasets to be listed
529 can use these to organize and group your datasets. You can set this
569 use these to organize and group your datasets. You can set this property
620 these to organize and group your datasets. You can set this property when
670 datasets: An array of the dataset resources in the project. Each resource
672 dataset resource, use the Datasets: get method. This property is omitted
673 when there are no datasets in the project.
687 can use these to organize and group your datasets
731 datasets = _messages.MessageField('DatasetsValueListEntry', 1, repeated=True) variable in class:DatasetList
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  /external/tensorflow/tensorflow/contrib/eager/python/
tfe.py 96 from tensorflow.contrib.eager.python.datasets import Iterator
  /external/tensorflow/tensorflow/contrib/learn/python/learn/datasets/
synthetic.py 28 from tensorflow.contrib.learn.python.learn.datasets.base import Dataset
32 @deprecated(None, 'Consider using synthetic datasets from scikits.learn.')
103 @deprecated(None, 'Consider using synthetic datasets from scikits.learn.')
mnist.py 31 from tensorflow.contrib.learn.python.learn.datasets import base
38 DEFAULT_SOURCE_URL = 'https://storage.googleapis.com/cvdf-datasets/mnist/'
249 return base.Datasets(train=train, validation=validation, test=test)
294 return base.Datasets(train=train, validation=validation, test=test)
  /external/tensorflow/tensorflow/python/debug/examples/
debug_tflearn_iris.py 28 from tensorflow.contrib.learn.python.learn.datasets import base
81 # Load datasets.
  /cts/tests/autofillservice/src/android/autofillservice/cts/
OptionalSaveActivityTest.java 603 @NonNull CannedDataset...datasets) throws Exception {
613 for (CannedDataset dataset : datasets) {
  /external/protobuf/
tests.sh 41 cd benchmarks && make && ./generate-datasets && cd ..
  /external/walt/android/WALT/app/src/main/java/org/chromium/latency/walt/
HistogramChart.java 33 import com.github.mikephil.charting.interfaces.datasets.IBarDataSet;
64 ArrayList<IBarDataSet> dataSets = new ArrayList<>(numDataSets);
68 dataSets.add(dataSet);
71 BarData barData = new BarData(dataSets);
  /external/pdfium/fxjs/
cfxjse_resolveprocessor.cpp 150 CXFA_Node* datasets =
152 if (!datasets)
156 rndFind.m_CurObject = datasets;
  /external/tensorflow/tensorflow/python/data/ops/
dataset_ops.py 15 """Python wrappers for Datasets."""
113 """Returns a list of the input datasets of the dataset."""
256 `tf.constant` operations. For large datasets (> 1 GB), this can waste
260 guide](https://tensorflow.org/guide/datasets#consuming_numpy_arrays).
276 `tf.constant` operations. For large datasets (> 1 GB), this can waste
280 https://tensorflow.org/guide/datasets#consuming_numpy_arrays).
563 def zip(datasets):
564 """Creates a `Dataset` by zipping together the given datasets.
567 in Python, with the main difference being that the `datasets`
579 # The nested structure of the `datasets` argument determines th
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  /external/tensorflow/tensorflow/contrib/tensor_forest/client/
random_forest_test.py 23 from tensorflow.contrib.learn.python.learn.datasets import base

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