SparseMatrixSoftmaxGrad

public final class SparseMatrixSoftmaxGrad

Calculates the gradient of the SparseMatrixSoftmax op.

Public Methods

Output<Object>	asOutput() Returns the symbolic handle of a tensor.
static <T extends Number> SparseMatrixSoftmaxGrad	create(Scope scope, Operand<?> softmax, Operand<?> gradSoftmax, Class<T> type) Factory method to create a class wrapping a new SparseMatrixSoftmaxGrad operation.
Output<?>	gradient() The output gradient.

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 SparseMatrixSoftmaxGrad create (Scope scope, Operand<?> softmax, Operand<?> gradSoftmax, Class<T> type)

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

Parameters

scope	current scope
softmax	A CSRSparseMatrix.
gradSoftmax	The gradient of `softmax`.

Returns

a new instance of SparseMatrixSoftmaxGrad

public Output<?> gradient ()

The output gradient.