Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

ExperimentalRebatchDataset

public final class ExperimentalRebatchDataset

Creates a dataset that changes the batch size.

Creates a dataset that changes the batch size of the dataset to current batch size // num_replicas.

Nested Classes

class ExperimentalRebatchDataset.Options Optional attributes for ExperimentalRebatchDataset

Public Methods

Output <Object>
asOutput ()
Returns the symbolic handle of a tensor.
static ExperimentalRebatchDataset
create ( Scope scope, Operand <?> inputDataset, Operand <Long> numReplicas, List<Class<?>> outputTypes, List< Shape > outputShapes, Options... options)
Factory method to create a class wrapping a new ExperimentalRebatchDataset operation.
Output <?>
static ExperimentalRebatchDataset.Options
useFallback (Boolean useFallback)

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 ExperimentalRebatchDataset create ( Scope scope, Operand <?> inputDataset, Operand <Long> numReplicas, List<Class<?>> outputTypes, List< Shape > outputShapes, Options... options)

Factory method to create a class wrapping a new ExperimentalRebatchDataset operation.

Parameters
scope current scope
inputDataset A variant tensor representing the input dataset.
numReplicas A scalar representing the number of replicas to distribute this batch across. As a result of this transformation the current batch size would end up being divided by this parameter.
options carries optional attributes values
Returns
  • a new instance of ExperimentalRebatchDataset

public Output <?> handle ()

public static ExperimentalRebatchDataset.Options useFallback (Boolean useFallback)