public final class
ExperimentalAutoShardDataset
Creates a dataset that shards the input dataset.
Creates a dataset that shards the input dataset by num_workers, returning a sharded dataset for the index-th worker. This attempts to automatically shard a dataset by examining the Dataset graph and inserting a shard op before the inputs to a reader Dataset (e.g. CSVDataset, TFRecordDataset).
This dataset will throw a NotFound error if we cannot shard the dataset automatically.
Nested Classes
| class | ExperimentalAutoShardDataset.Options | Optional attributes for ExperimentalAutoShardDataset
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Public Methods
| Output<Object> |
asOutput()
Returns the symbolic handle of a tensor.
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| static ExperimentalAutoShardDataset.Options |
autoShardPolicy(Long autoShardPolicy)
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| static ExperimentalAutoShardDataset | |
| Output<?> |
handle()
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Inherited Methods
Public Methods
public Output<Object> asOutput ()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
public static ExperimentalAutoShardDataset create (Scope scope, Operand<?> inputDataset, Operand<Long> numWorkers, Operand<Long> index, List<Class<?>> outputTypes, List<Shape> outputShapes, Options... options)
Factory method to create a class wrapping a new ExperimentalAutoShardDataset operation.
Parameters
| scope | current scope |
|---|---|
| inputDataset | A variant tensor representing the input dataset. |
| numWorkers | A scalar representing the number of workers to distribute this dataset across. |
| index | A scalar representing the index of the current worker out of num_workers. |
| options | carries optional attributes values |
Returns
- a new instance of ExperimentalAutoShardDataset