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>

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 ()