Classes
| AnonymousIterator | A container for an iterator resource. |
| AnonymousMemoryCache | |
| AnonymousMultiDeviceIterator | A container for a multi device iterator resource. |
| AssertNextDataset | A transformation that asserts which transformations happen next. |
| AutoShardDataset | Creates a dataset that shards the input dataset. |
| AutoShardDataset.Options | Optional attributes for AutoShardDataset
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| BatchDataset | Creates a dataset that batches `batch_size` elements from `input_dataset`. |
| BatchDataset.Options | Optional attributes for BatchDataset
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| BytesProducedStatsDataset | Records the bytes size of each element of `input_dataset` in a StatsAggregator. |
| CacheDataset | Creates a dataset that caches elements from `input_dataset`. |
| CacheDatasetV2 | |
| ChooseFastestDataset | |
| ConcatenateDataset | Creates a dataset that concatenates `input_dataset` with `another_dataset`. |
| CSVDataset | |
| CSVDatasetV2 | |
| DatasetCardinality | Returns the cardinality of `input_dataset`. |
| DatasetFromGraph | Creates a dataset from the given `graph_def`. |
| DatasetToGraph | Returns a serialized GraphDef representing `input_dataset`. |
| DatasetToGraph.Options | Optional attributes for DatasetToGraph
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| DatasetToSingleElement | Outputs the single element from the given dataset. |
| DatasetToTfRecord | Writes the given dataset to the given file using the TFRecord format. |
| DeleteIterator | A container for an iterator resource. |
| DeleteMemoryCache | |
| DeleteMultiDeviceIterator | A container for an iterator resource. |
| 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. |
| DirectedInterleaveDataset | A substitute for `InterleaveDataset` on a fixed list of `N` datasets. |
| FilterByLastComponentDataset | Creates a dataset containing elements of first component of `input_dataset` having true in the last component. |
| FixedLengthRecordDataset | |
| IgnoreErrorsDataset | Creates a dataset that contains the elements of `input_dataset` ignoring errors. |
| IgnoreErrorsDataset.Options | Optional attributes for IgnoreErrorsDataset
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| InitializeTableFromDataset | |
| Iterator | |
| IteratorFromStringHandle | |
| IteratorFromStringHandle.Options | Optional attributes for IteratorFromStringHandle
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| IteratorGetDevice | Returns the name of the device on which `resource` has been placed. |
| 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 TNumber> | Computes rectified linear gradients for a LeakyRelu operation. |
| LeakyReluGrad.Options | Optional attributes for LeakyReluGrad
|
| LMDBDataset | Creates a dataset that emits the key-value pairs in one or more LMDB files. |
| MakeIterator | Makes a new iterator from the given `dataset` and stores it in `iterator`. |
| MatchingFilesDataset | |
| MaxIntraOpParallelismDataset | Creates a dataset that overrides the maximum intra-op parallelism. |
| 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. |
| NonSerializableDataset | |
| OptimizeDataset | Creates a dataset by applying optimizations to `input_dataset`. |
| OptimizeDataset.Options | Optional attributes for OptimizeDataset
|
| OptimizeDatasetV2 | Creates a dataset by applying related optimizations to `input_dataset`. |
| OptimizeDatasetV2.Options | Optional attributes for OptimizeDatasetV2
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| 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
|
| PrefetchDataset | Creates a dataset that asynchronously prefetches elements from `input_dataset`. |
| PrefetchDataset.Options | Optional attributes for PrefetchDataset
|
| PrivateThreadPoolDataset | Creates a dataset that uses a custom thread pool to compute `input_dataset`. |
| RandomDataset | Creates a Dataset that returns pseudorandom numbers. |
| RangeDataset | Creates a dataset with a range of values. |
| RebatchDataset | Creates a dataset that changes the batch size. |
| RebatchDataset.Options | Optional attributes for RebatchDataset
|
| RebatchDatasetV2 | Creates a dataset that changes the batch size. |
| RegisterDataset | Registers a dataset with the tf.data service. |
| RepeatDataset | Creates a dataset that emits the outputs of `input_dataset` `count` times. |
| SamplingDataset | Creates a dataset that takes a Bernoulli sample of the contents of another dataset. |
| SerializeIterator | Converts the given `resource_handle` representing an iterator to a variant tensor. |
| SerializeIterator.Options | Optional attributes for SerializeIterator
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| SetStatsAggregatorDataset | |
| ShardDataset | Creates a `Dataset` that includes only 1/`num_shards` of this dataset. |
| ShardDataset.Options | Optional attributes for ShardDataset
|
| ShuffleAndRepeatDataset | |
| ShuffleAndRepeatDataset.Options | Optional attributes for ShuffleAndRepeatDataset
|
| ShuffleDataset | |
| ShuffleDataset.Options | Optional attributes for ShuffleDataset
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| SkipDataset | Creates a dataset that skips `count` elements from the `input_dataset`. |
| SleepDataset | |
| SlidingWindowDataset | Creates a dataset that passes a sliding window over `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. |
| ThreadPoolDataset | Creates a dataset that uses a custom thread pool to compute `input_dataset`. |
| ThreadPoolHandle | Creates a dataset that uses a custom thread pool to compute `input_dataset`. |
| ThreadPoolHandle.Options | Optional attributes for ThreadPoolHandle
|
| UnbatchDataset | A dataset that splits the elements of its input into multiple elements. |
| UniqueDataset | Creates a dataset that contains the unique elements of `input_dataset`. |
| UnwrapDatasetVariant | |
| WindowDataset | Combines (nests of) input elements into a dataset of (nests of) windows. |
| WrapDatasetVariant | |
| ZipDataset | Creates a dataset that zips together `input_datasets`. |