Uses of Package
org.tensorflow.op.data

Packages that use org.tensorflow.op.data

Package	Description
org.tensorflow.op
org.tensorflow.op.data

Classes in org.tensorflow.op.data used by org.tensorflow.op

Class and Description
AnonymousIterator A container for an iterator resource.
DeserializeIterator Converts the given variant tensor to an iterator and stores it in the given resource.
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.
MakeIterator Makes a new iterator from the given `dataset` and stores it in `iterator`.
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.
SerializeIterator Converts the given `resource_handle` representing an iterator to a variant tensor.

Classes in org.tensorflow.op.data used by org.tensorflow.op.data

Class and 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 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`.