Have a question? Connect with the community at the TensorFlow Forum Visit Forum

DenseToSparseBatchDataset

public final class DenseToSparseBatchDataset

Creates a dataset that batches input elements into a SparseTensor.

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 DenseToSparseBatchDataset
create ( Scope scope, Operand <?> inputDataset, Operand < TInt64 > batchSize, Operand < TInt64 > rowShape, List<Class<? extends TType >> outputTypes, List< Shape > outputShapes)
Factory method to create a class wrapping a new DenseToSparseBatchDataset operation.
Output <?>

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "ExperimentalDenseToSparseBatchDataset"

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 DenseToSparseBatchDataset create ( Scope scope, Operand <?> inputDataset, Operand < TInt64 > batchSize, Operand < TInt64 > rowShape, List<Class<? extends TType >> outputTypes, List< Shape > outputShapes)

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

Parameters
scope current scope
inputDataset A handle to an input dataset. Must have a single component.
batchSize A scalar representing the number of elements to accumulate in a batch.
rowShape A vector representing the dense shape of each row in the produced SparseTensor. The shape may be partially specified, using `-1` to indicate that a particular dimension should use the maximum size of all batch elements.
Returns
  • a new instance of DenseToSparseBatchDataset

public Output <?> handle ()