BatchDataset

public final class BatchDataset

Creates a dataset that batches `batch_size` elements from `input_dataset`.

Nested Classes

class BatchDataset.Options Optional attributes for BatchDataset

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output < TType >
asOutput ()
Returns the symbolic handle of the tensor.
static BatchDataset
create ( Scope scope, Operand <?> inputDataset, Operand < TInt64 > batchSize, Operand < TBool > dropRemainder, List<Class<? extends TType >> outputTypes, List< Shape > outputShapes, Options... options)
Factory method to create a class wrapping a new BatchDataset operation.
Output <?>
static BatchDataset.Options
parallelCopy (Boolean parallelCopy)

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "BatchDatasetV2"

Public Methods

public Output < TType > asOutput ()

Returns the symbolic handle of the 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 BatchDataset create ( Scope scope, Operand <?> inputDataset, Operand < TInt64 > batchSize, Operand < TBool > dropRemainder, List<Class<? extends TType >> outputTypes, List< Shape > outputShapes, Options... options)

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

Parameters
scope current scope
batchSize A scalar representing the number of elements to accumulate in a batch.
dropRemainder A scalar representing whether the last batch should be dropped in case its size is smaller than desired.
options carries optional attributes values
Returns
  • a new instance of BatchDataset

public Output <?> handle ()

public static BatchDataset.Options parallelCopy (Boolean parallelCopy)