SparseSegmentSumGrad

public final class SparseSegmentSumGrad

Computes gradients for SparseSegmentSum.

Returns tensor "output" with same shape as grad, except for dimension 0 whose value is output_dim0.

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of a tensor.
static <T extends Number, U extends Number, V extends Number> SparseSegmentSumGrad<T>
create(Scope scope, Operand<T> grad, Operand<U> indices, Operand<V> segmentIds, Operand<Integer> outputDim0)
Factory method to create a class wrapping a new SparseSegmentSumGrad operation.
Output<T>
output()

Inherited Methods

Public Methods

public Output<T> 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 SparseSegmentSumGrad<T> create (Scope scope, Operand<T> grad, Operand<U> indices, Operand<V> segmentIds, Operand<Integer> outputDim0)

Factory method to create a class wrapping a new SparseSegmentSumGrad 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.
outputDim0 dimension 0 of "data" passed to SparseSegmentSum op.
Returns
  • a new instance of SparseSegmentSumGrad

public Output<T> output ()