Package org.tensorflow.op.sparse

Class SparseSegmentSqrtNWithNumSegments<T extends java.lang.Number>

java.lang.Object

org.tensorflow.op.PrimitiveOp

org.tensorflow.op.sparse.SparseSegmentSqrtNWithNumSegments<T>

Type Parameters:

T - data type for output() output

All Implemented Interfaces:

Op, Operand<T>

@Operator(group="sparse")
public final class SparseSegmentSqrtNWithNumSegments<T extends java.lang.Number>
extends PrimitiveOp
implements Operand<T>

Computes the sum along sparse segments of a tensor divided by the sqrt of N.

N is the size of the segment being reduced.

Like `SparseSegmentSqrtN`, but allows missing ids in `segment_ids`. If an id is misisng, the `output` tensor at that position will be zeroed.

Read [the section on segmentation](https://tensorflow.org/api_guides/python/math_ops#Segmentation) for an explanation of segments.

Field Summary

Fields inherited from class org.tensorflow.op.PrimitiveOp

operation

Method Summary

Modifier and Type	Method	Description
Output<T>	asOutput()	Returns the symbolic handle of a tensor.
static <T extends java.lang.Number,U extends java.lang.Number,V extends java.lang.Number> SparseSegmentSqrtNWithNumSegments<T>	create(Scope scope, Operand<T> data, Operand<U> indices, Operand<java.lang.Integer> segmentIds, Operand<V> numSegments)	Factory method to create a class to wrap a new SparseSegmentSqrtNWithNumSegments operation to the graph.
Output<T>	output()	Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from class org.tensorflow.op.PrimitiveOp

equals, hashCode, toString

Method Detail

create

public static <T extends java.lang.Number,U extends java.lang.Number,V extends java.lang.Number> SparseSegmentSqrtNWithNumSegments<T> create(Scope scope,
                                                                                                                                             Operand<T> data,
                                                                                                                                             Operand<U> indices,
                                                                                                                                             Operand<java.lang.Integer> segmentIds,
                                                                                                                                             Operand<V> numSegments)

Factory method to create a class to wrap a new SparseSegmentSqrtNWithNumSegments operation to the graph.

Parameters:

scope - current graph scope

data -

indices - A 1-D tensor. Has same rank as `segment_ids`.

segmentIds - A 1-D tensor. Values should be sorted and can be repeated.

numSegments - Should equal the number of distinct segment IDs.

Returns:

a new instance of SparseSegmentSqrtNWithNumSegments

output

public Output<T> output()

Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

asOutput

public Output<T> asOutput()

Description copied from interface: Operand

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.

Specified by:

asOutput in interface Operand<T extends java.lang.Number>

See Also:

OperationBuilder.addInput(Output)