SparseSegmentSum

public final class SparseSegmentSum

Computes the sum along sparse segments of a tensor.

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

Like `SegmentSum`, but `segment_ids` can have rank less than `data`'s first dimension, selecting a subset of dimension 0, specified by `indices`.

For example:

c = tf.constant([[1,2,3,4], [-1,-2,-3,-4], [5,6,7,8]])
 
 # Select two rows, one segment.
 tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 0]))
 # => [[0 0 0 0]]
 
 # Select two rows, two segment.
 tf.sparse_segment_sum(c, tf.constant([0, 1]), tf.constant([0, 1]))
 # => [[ 1  2  3  4]
 #     [-1 -2 -3 -4]]
 
 # Select all rows, two segments.
 tf.sparse_segment_sum(c, tf.constant([0, 1, 2]), tf.constant([0, 0, 1]))
 # => [[0 0 0 0]
 #     [5 6 7 8]]
 
 # Which is equivalent to:
 tf.segment_sum(c, tf.constant([0, 0, 1]))
 

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> SparseSegmentSum<T>	create(Scope scope, Operand<T> data, Operand<? extends TNumber> indices, Operand<? extends TNumber> segmentIds) Factory method to create a class wrapping a new SparseSegmentSum operation.
Output<T>	output() Has same shape as data, except for dimension 0 which has size `k`, the number of segments.

Inherited Methods

From class org.tensorflow.op.RawOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Return this unit of computation as a single Operation.
final String	toString()

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.op.Op

abstract ExecutionEnvironment	env() Return the execution environment this op was created in.
abstract Operation	op() Return this unit of computation as a single Operation.

From interface org.tensorflow.Operand

abstract Output<T>	asOutput() Returns the symbolic handle of the tensor.
abstract T	asTensor() Returns the tensor at this operand.
abstract Shape	shape() Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<T>	type() Returns the tensor type of this operand

From interface org.tensorflow.ndarray.Shaped

abstract int	rank()
abstract Shape	shape()
abstract long	size() Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

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

Constant Value: "SparseSegmentSum"

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 SparseSegmentSum<T> create (Scope scope, Operand<T> data, Operand<? extends TNumber> indices, Operand<? extends TNumber> segmentIds)

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

Parameters

scope	current scope
indices	A 1-D tensor. Has same rank as `segment_ids`.
segmentIds	A 1-D tensor. Values should be sorted and can be repeated.

Returns

• a new instance of SparseSegmentSum

public Output<T> output ()

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