SparseSegmentSqrtNGradV2

public final class SparseSegmentSqrtNGradV2

Computes gradients for SparseSegmentSqrtN.

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> SparseSegmentSqrtNGradV2<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 SparseSegmentSqrtNGradV2 operation.
Output<T>
output()
Output<U>

Inherited Methods

Public Methods

public static SparseSegmentSqrtNGradV2<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 SparseSegmentSqrtNGradV2 operation.

Parameters
scope current scope
grad gradient propagated to the SparseSegmentSqrtN op.
indices indices passed to the corresponding SparseSegmentSqrtN op.
segmentIds segment_ids passed to the corresponding SparseSegmentSqrtN op.
denseOutputDim0 dimension 0 of "data" passed to SparseSegmentSqrtN op.
Returns
  • a new instance of SparseSegmentSqrtNGradV2

public Output<T> output ()

public Output<U> sortedUniqueIndices ()