SparseSegmentMeanGrad

public final class SparseSegmentMeanGrad

Computes gradients for SparseSegmentMean.

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

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<T>
asOutput()
Returns the symbolic handle of the tensor.
static <T extends TNumber> SparseSegmentMeanGrad<T>
create(Scope scope, Operand<T> grad, Operand<? extends TNumber> indices, Operand<? extends TNumber> segmentIds, Operand<TInt32> outputDim0)
Factory method to create a class wrapping a new SparseSegmentMeanGrad operation.
Output<T>
output()

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "SparseSegmentMeanGrad"

Public Methods

public Output<T> asOutput ()

Returns the symbolic handle of the 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 SparseSegmentMeanGrad<T> create (Scope scope, Operand<T> grad, Operand<? extends TNumber> indices, Operand<? extends TNumber> segmentIds, Operand<TInt32> outputDim0)

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

Parameters
scope current scope
grad gradient propagated to the SparseSegmentMean op.
indices indices passed to the corresponding SparseSegmentMean op.
segmentIds segment_ids passed to the corresponding SparseSegmentMean op.
outputDim0 dimension 0 of "data" passed to SparseSegmentMean op.
Returns
  • a new instance of SparseSegmentMeanGrad

public Output<T> output ()