Package org.tensorflow.op.data

Class Summary

Class	Description
AnonymousIterator	A container for an iterator resource.
BatchDataset	Creates a dataset that batches `batch_size` elements from `input_dataset`.
BatchDataset.Options	Optional attributes for BatchDataset
BytesProducedStatsDataset	Records the bytes size of each element of `input_dataset` in a StatsAggregator.
CacheDataset	Creates a dataset that caches elements from `input_dataset`.
ConcatenateDataset	Creates a dataset that concatenates `input_dataset` with `another_dataset`.
DatasetToGraph	Returns a serialized GraphDef representing `input_dataset`.
DatasetToGraph.Options	Optional attributes for DatasetToGraph
DatasetToSingleElement	Outputs the single element from the given dataset.
DatasetToTfRecord	Writes the given dataset to the given file using the TFRecord format.
DenseToSparseBatchDataset	Creates a dataset that batches input elements into a SparseTensor.
DeserializeIterator	Converts the given variant tensor to an iterator and stores it in the given resource.
ExperimentalAssertNextDataset
ExperimentalCsvDataset
ExperimentalDirectedInterleaveDataset	A substitute for `InterleaveDataset` on a fixed list of `N` datasets.
ExperimentalIgnoreErrorsDataset	Creates a dataset that contains the elements of `input_dataset` ignoring errors.
ExperimentalIteratorGetDevice	Returns the name of the device on which `resource` has been placed.
ExperimentalLmdbDataset
ExperimentalNonSerializableDataset
ExperimentalSleepDataset
ExperimentalThreadPoolDataset	Creates a dataset that uses a custom thread pool to compute `input_dataset`.
ExperimentalThreadPoolHandle	Creates a dataset that uses a custom thread pool to compute `input_dataset`.
ExperimentalThreadPoolHandle.Options	Optional attributes for ExperimentalThreadPoolHandle
ExperimentalUniqueDataset	Creates a dataset that contains the unique elements of `input_dataset`.
FilterByLastComponentDataset	Creates a dataset containing elements of first component of `input_dataset` having true in the last component.
FixedLengthRecordDataset
Iterator
IteratorFromStringHandle
IteratorFromStringHandle.Options	Optional attributes for IteratorFromStringHandle
IteratorGetNext	Gets the next output from the given iterator .
IteratorGetNextAsOptional	Gets the next output from the given iterator as an Optional variant.
IteratorGetNextSync	Gets the next output from the given iterator.
IteratorToStringHandle	Converts the given `resource_handle` representing an iterator to a string.
LatencyStatsDataset	Records the latency of producing `input_dataset` elements in a StatsAggregator.
LeakyReluGrad<T extends Number>	Computes rectified linear gradients for a LeakyRelu operation.
LeakyReluGrad.Options	Optional attributes for LeakyReluGrad
MakeIterator	Makes a new iterator from the given `dataset` and stores it in `iterator`.
MatchingFilesDataset
ModelDataset	Identity transformation that models performance.
ModelDataset.Options	Optional attributes for ModelDataset
MultiDeviceIterator	Creates a MultiDeviceIterator resource.
MultiDeviceIteratorFromStringHandle	Generates a MultiDeviceIterator resource from its provided string handle.
MultiDeviceIteratorFromStringHandle.Options	Optional attributes for MultiDeviceIteratorFromStringHandle
MultiDeviceIteratorGetNextFromShard	Gets next element for the provided shard number.
MultiDeviceIteratorInit	Initializes the multi device iterator with the given dataset.
MultiDeviceIteratorToStringHandle	Produces a string handle for the given MultiDeviceIterator.
OptimizeDataset	Creates a dataset by applying optimizations to `input_dataset`.
OptimizeDataset.Options	Optional attributes for OptimizeDataset
OptionalFromValue	Constructs an Optional variant from a tuple of tensors.
OptionalGetValue	Returns the value stored in an Optional variant or raises an error if none exists.
OptionalHasValue	Returns true if and only if the given Optional variant has a value.
OptionalNone	Creates an Optional variant with no value.
PaddedBatchDataset	Creates a dataset that batches and pads `batch_size` elements from the input.
PaddedBatchDataset.Options	Optional attributes for PaddedBatchDataset
ParseExampleDataset	Transforms `input_dataset` containing `Example` protos as vectors of DT_STRING into a dataset of `Tensor` or `SparseTensor` objects representing the parsed features.
ParseExampleDataset.Options	Optional attributes for ParseExampleDataset
PrefetchDataset	Creates a dataset that asynchronously prefetches elements from `input_dataset`.
PrefetchDataset.Options	Optional attributes for PrefetchDataset
RandomDataset	Creates a Dataset that returns pseudorandom numbers.
RangeDataset	Creates a dataset with a range of values.
RepeatDataset	Creates a dataset that emits the outputs of `input_dataset` `count` times.
SerializeIterator	Converts the given `resource_handle` representing an iterator to a variant tensor.
SetStatsAggregatorDataset
ShuffleAndRepeatDataset	Creates a dataset that shuffles and repeats elements from `input_dataset`
ShuffleDataset	Creates a dataset that shuffles elements from `input_dataset` pseudorandomly.
ShuffleDataset.Options	Optional attributes for ShuffleDataset
SkipDataset	Creates a dataset that skips `count` elements from the `input_dataset`.
SparseTensorSliceDataset	Creates a dataset that splits a SparseTensor into elements row-wise.
SqlDataset	Creates a dataset that executes a SQL query and emits rows of the result set.
StatsAggregatorHandle	Creates a statistics manager resource.
StatsAggregatorHandle.Options	Optional attributes for StatsAggregatorHandle
TakeDataset	Creates a dataset that contains `count` elements from the `input_dataset`.
TensorDataset	Creates a dataset that emits `components` as a tuple of tensors once.
TensorSliceDataset	Creates a dataset that emits each dim-0 slice of `components` once.
TextLineDataset	Creates a dataset that emits the lines of one or more text files.
TfRecordDataset	Creates a dataset that emits the records from one or more TFRecord files.
UnbatchDataset	A dataset that splits the elements of its input into multiple elements.
WindowDataset	A dataset that creates window datasets from the input dataset.
ZipDataset	Creates a dataset that zips together `input_datasets`.