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

org.tensorflow.op.PrimitiveOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Returns the underlying Operation
final String
toString()
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()
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.