SparseSegmentSqrtN

public final class SparseSegmentSqrtN

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

N is the size of the segment being reduced.

See tf.sparse.segment_sum for usage examples.

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

Inherited Methods

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()
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()
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.
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
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: "SparseSegmentSqrtN"

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

Factory method to create a class wrapping a new SparseSegmentSqrtN 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 SparseSegmentSqrtN

public Output<T> output ()

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