PaddedBatchDataset

public final class PaddedBatchDataset

Creates a dataset that batches and pads `batch_size` elements from the input.

Nested Classes

class PaddedBatchDataset.Options Optional attributes for PaddedBatchDataset

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 PaddedBatchDataset
create ( Scope scope, Operand <?> inputDataset, Operand < TInt64 > batchSize, Iterable< Operand < TInt64 >> paddedShapes, Iterable< Operand <?>> paddingValues, Operand < TBool > dropRemainder, List< Shape > outputShapes, Options... options)
Factory method to create a class wrapping a new PaddedBatchDataset operation.
Output <?>
static PaddedBatchDataset.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: "PaddedBatchDatasetV2"

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 PaddedBatchDataset create ( Scope scope, Operand <?> inputDataset, Operand < TInt64 > batchSize, Iterable< Operand < TInt64 >> paddedShapes, Iterable< Operand <?>> paddingValues, Operand < TBool > dropRemainder, List< Shape > outputShapes, Options... options)

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

Parameters
scope current scope
batchSize A scalar representing the number of elements to accumulate in a batch.
paddedShapes A list of int64 tensors representing the desired padded shapes of the corresponding output components. These shapes may be partially specified, using `-1` to indicate that a particular dimension should be padded to the maximum size of all batch elements.
paddingValues A list of scalars containing the padding value to use for each of the outputs.
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 PaddedBatchDataset

public Output <?> handle ()

public static PaddedBatchDataset.Options parallelCopy (Boolean parallelCopy)