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

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()
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.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