SparseAddGrad

public final class SparseAddGrad

The gradient operator for the SparseAdd op.

The SparseAdd op calculates A + B, where A, B, and the sum are all represented as `SparseTensor` objects. This op takes in the upstream gradient w.r.t. non-empty values of the sum, and outputs the gradients w.r.t. the non-empty values of A and B.

Constants

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

Public Methods

Output<T>	aValGrad() 1-D with shape `[nnz(A)]`.
Output<T>	bValGrad() 1-D with shape `[nnz(B)]`.
static <T extends TType> SparseAddGrad<T>	create(Scope scope, Operand<T> backpropValGrad, Operand<TInt64> aIndices, Operand<TInt64> bIndices, Operand<TInt64> sumIndices) Factory method to create a class wrapping a new SparseAddGrad operation.

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`.

Constants

public static final String OP_NAME

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

Constant Value: "SparseAddGrad"

Public Methods

public Output<T> aValGrad ()

1-D with shape `[nnz(A)]`. The gradient with respect to the non-empty values of A.

public Output<T> bValGrad ()

1-D with shape `[nnz(B)]`. The gradient with respect to the non-empty values of B.

public static SparseAddGrad<T> create (Scope scope, Operand<T> backpropValGrad, Operand<TInt64> aIndices, Operand<TInt64> bIndices, Operand<TInt64> sumIndices)

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

Parameters

scope	current scope
backpropValGrad	1-D with shape `[nnz(sum)]`. The gradient with respect to the non-empty values of the sum.
aIndices	2-D. The `indices` of the `SparseTensor` A, size `[nnz(A), ndims]`.
bIndices	2-D. The `indices` of the `SparseTensor` B, size `[nnz(B), ndims]`.
sumIndices	2-D. The `indices` of the sum `SparseTensor`, size `[nnz(sum), ndims]`.

Returns

a new instance of SparseAddGrad