SparseMatrixSoftmax

public final class SparseMatrixSoftmax

Calculates the softmax of a CSRSparseMatrix.

Calculate the softmax of the innermost dimensions of a SparseMatrix.

Missing values are treated as `-inf` (i.e., logits of zero probability); and the output has the same sparsity structure as the input (though missing values in the output may now be treated as having probability zero).

Public Methods

Output<Object>	asOutput() Returns the symbolic handle of a tensor.
static <T extends Number> SparseMatrixSoftmax	create(Scope scope, Operand<?> logits, Class<T> type) Factory method to create a class wrapping a new SparseMatrixSoftmax operation.
Output<?>	softmax() A CSRSparseMatrix.

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying 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.Operand

abstract Output<Object>

asOutput() Returns the symbolic handle of a tensor.

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 SparseMatrixSoftmax create (Scope scope, Operand<?> logits, Class<T> type)

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

Parameters

scope	current scope
logits	A CSRSparseMatrix.

Returns

• a new instance of SparseMatrixSoftmax

public Output<?> softmax ()

A CSRSparseMatrix.