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.
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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`.
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