| 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
|
| 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`. |
| 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
|
| 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
|
| InitializeTableFromDataset |
|
| Iterator |
|
| IteratorFromStringHandle |
|
| IteratorFromStringHandle.Options |
Optional attributes for IteratorFromStringHandle
|
| 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
|
| 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
|
| 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
|
| 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`. |
