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  /external/tensorflow/tensorflow/contrib/slim/python/slim/data/
dataset.py 15 """Contains the definition of a Dataset.
17 A Dataset is a collection of several components: (1) a list of data sources
23 Data can be loaded from a dataset specification using a dataset_data_provider:
25 dataset = CreateMyDataset(...)
27 dataset, shuffle=False)
38 class Dataset(object):
39 """Represents a Dataset specification."""
43 """Initializes the dataset.
46 data_sources: A list of files that make up the dataset.
50 num_samples: The number of samples in the dataset
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  /external/icu/icu4j/perf-tests/
Dataset.pm 9 package Dataset;
14 # Create a new Dataset with the given data.
63 # Return a 99% error based on the t distribution. The dataset
71 # mean+/-error. The new Dataset has no data points.
81 my $result = Dataset->new();
  /external/tensorflow/tensorflow/core/kernels/data/experimental/
ignore_errors_dataset_op.cc 15 #include "tensorflow/core/framework/dataset.h"
33 *output = new Dataset(ctx, input);
37 class Dataset : public DatasetBase {
39 explicit Dataset(OpKernelContext* ctx, const DatasetBase* input)
44 ~Dataset() override { input_->Unref(); }
60 return "IgnoreErrorsDatasetOp::Dataset";
76 class Iterator : public DatasetIterator<Dataset> {
79 : DatasetIterator<Dataset>(params) {}
82 return dataset()->input_->MakeIterator(ctx, prefix(), &input_impl_);
non_serializable_dataset_op.cc 17 #include "tensorflow/core/framework/dataset.h"
36 *output = new Dataset(ctx, input, output_types_, output_shapes_);
40 class Dataset : public DatasetBase {
42 Dataset(OpKernelContext* ctx, const DatasetBase* input,
52 ~Dataset() override { input_->Unref(); }
68 return "NonSerializableDatasetOp::Dataset";
81 class Iterator : public DatasetIterator<Dataset> {
84 : DatasetIterator<Dataset>(params) {}
87 return dataset()->input_->MakeIterator(ctx, prefix(), &input_impl_);
assert_next_dataset_op.cc 17 #include "tensorflow/core/framework/dataset.h"
42 new Dataset(ctx, input, transformations, output_types_, output_shapes_);
46 class Dataset : public DatasetBase {
48 Dataset(OpKernelContext* ctx, const DatasetBase* input,
60 ~Dataset() override { input_->Unref(); }
76 return "AssertNextDatasetOp::Dataset";
95 class Iterator : public DatasetIterator<Dataset> {
98 : DatasetIterator<Dataset>(params) {}
103 if (dataset()->transformations_.size() > tokens.size() - 2) {
105 "Asserted next ", dataset()->transformations_.size()
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random_dataset_op.cc 15 #include "tensorflow/core/framework/dataset.h"
48 *output = new Dataset(ctx, seed, seed2);
52 class Dataset : public DatasetBase {
54 Dataset(OpKernelContext* ctx, int64 seed, int64 seed2)
76 ")::Dataset");
94 class Iterator : public DatasetIterator<Dataset> {
97 : DatasetIterator<Dataset>(params),
98 parent_generator_(dataset()->seed_, dataset()->seed2_),
131 random::PhiloxRandom(dataset()->seed_, dataset()->seed2_)
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rebatch_dataset_op.cc 15 #include "tensorflow/core/framework/dataset.h"
42 Dataset* dataset = variable
43 new Dataset(ctx, input, num_workers, output_types_, output_shapes_);
44 Status s = dataset->Optimize(ctx);
46 *output = dataset;
48 dataset->Unref();
54 class Dataset : public GraphRewriteDataset {
56 Dataset(OpKernelContext* ctx, const DatasetBase* input,
62 string DebugString() const override { return "RebatchDatasetOp::Dataset"; }
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sleep_dataset_op.cc 15 #include "tensorflow/core/framework/dataset.h"
39 *output = new Dataset(ctx, input, sleep_microseconds);
43 class Dataset : public DatasetBase {
45 Dataset(OpKernelContext* ctx, const DatasetBase* input,
53 ~Dataset() override { input_->Unref(); }
68 string DebugString() const override { return "SleepDatasetOp::Dataset"; }
92 class Iterator : public DatasetIterator<Dataset> {
95 : DatasetIterator<Dataset>(params) {}
98 return dataset()->input_->MakeIterator(ctx, prefix(), &input_impl_);
105 ctx->env()->SleepForMicroseconds(dataset()->sleep_microseconds_)
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