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

ExperimentalDenseToSparseBatchDataset

public final class ExperimentalDenseToSparseBatchDataset

Creates a dataset that batches input elements into a SparseTensor.

Public Methods

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

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 ExperimentalDenseToSparseBatchDataset create ( Scope scope, Operand <?> inputDataset, Operand <Long> batchSize, Operand <Long> rowShape, List<Class<?>> outputTypes, List< Shape > outputShapes)

Factory method to create a class wrapping a new ExperimentalDenseToSparseBatchDataset 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 ExperimentalDenseToSparseBatchDataset

public Output <?> handle ()