SparseSegmentSumGradV2

public final class SparseSegmentSumGradV2

Computes gradients for SparseSegmentSum.

Returns tensor "output" with same shape as grad, except for dimension 0 whose value is the number of unique indexes in "indices". Also returns vector "sorted_unique_indices" containing the corresponding indexes from "indices".

Public Methods

static <T extends Number, U extends Number, V extends Number> SparseSegmentSumGradV2<T, U>	create(Scope scope, Operand<T> grad, Operand<U> indices, Operand<V> segmentIds, Operand<Integer> denseOutputDim0) Factory method to create a class wrapping a new SparseSegmentSumGradV2 operation.
Output<T>	output()
Output<U>	sortedUniqueIndices()

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()

Public Methods

public static SparseSegmentSumGradV2<T, U> create (Scope scope, Operand<T> grad, Operand<U> indices, Operand<V> segmentIds, Operand<Integer> denseOutputDim0)

Factory method to create a class wrapping a new SparseSegmentSumGradV2 operation.

Parameters

scope	current scope
grad	gradient propagated to the SparseSegmentSum op.
indices	indices passed to the corresponding SparseSegmentSum op.
segmentIds	segment_ids passed to the corresponding SparseSegmentSum op.
denseOutputDim0	dimension 0 of "data" passed to SparseSegmentSum op.

Returns

• a new instance of SparseSegmentSumGradV2

public Output<T> output ()

public Output<U> sortedUniqueIndices ()