SparseSoftmax

public final class SparseSoftmax

Applies softmax to a batched N-D `SparseTensor`.

The inputs represent an N-D SparseTensor with logical shape `[..., B, C]` (where `N >= 2`), and with indices sorted in the canonical lexicographic order.

This op is equivalent to applying the normal tf.nn.softmax() to each innermost logical submatrix with shape `[B, C]`, but with the catch that the implicitly zero elements do not participate. Specifically, the algorithm is equivalent to the following:

(1) Applies tf.nn.softmax() to a densified view of each innermost submatrix with shape `[B, C]`, along the size-C dimension; (2) Masks out the original implicitly-zero locations; (3) Renormalizes the remaining elements.

Hence, the `SparseTensor` result has exactly the same non-zero indices and shape.

Constants

String

OP_NAME

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

Public Methods

Output<T>	asOutput() Returns the symbolic handle of the tensor.
static <T extends TNumber> SparseSoftmax<T>	create(Scope scope, Operand<TInt64> spIndices, Operand<T> spValues, Operand<TInt64> spShape) Factory method to create a class wrapping a new SparseSoftmax operation.
Output<T>	output() 1-D.

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single Operation.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

From interface org.tensorflow.Operand

abstract Output<T>	asOutput() Returns the symbolic handle of the tensor.
abstract T	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

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

Constant Value: "SparseSoftmax"

Public Methods

public Output<T> 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 SparseSoftmax<T> create (Scope scope, Operand<TInt64> spIndices, Operand<T> spValues, Operand<TInt64> spShape)

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

Parameters

scope	current scope
spIndices	2-D. `NNZ x R` matrix with the indices of non-empty values in a SparseTensor, in canonical ordering.
spValues	1-D. `NNZ` non-empty values corresponding to `sp_indices`.
spShape	1-D. Shape of the input SparseTensor.

Returns

• a new instance of SparseSoftmax

public Output<T> output ()

1-D. The `NNZ` values for the result `SparseTensor`.