UnsortedSegmentProd

public final class UnsortedSegmentProd

Computes the product along segments of a tensor.

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

This operator is similar to the unsorted segment sum operator found [(here)](../../../api_docs/python/math_ops.md#UnsortedSegmentSum). Instead of computing the sum over segments, it computes the product of all entries belonging to a segment such that:

\\(output_i = \prod_{j...} data[j...]\\) where the product is over tuples `j...` such that `segment_ids[j...] == i`.

For example: 

c = tf.constant([[1,2,3,4], [5,6,7,8], [4,3,2,1]])
 tf.unsorted_segment_prod(c, tf.constant([0, 1, 0]), num_segments=2)
 # ==> [[ 4,  6, 6, 4],
 #       [5,  6, 7, 8]]
If there is no entry for a given segment ID `i`, it outputs 1.

If the given segment ID `i` is negative, then the corresponding value is dropped, and will not be included in the result.

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 TType> UnsortedSegmentProd<T>
create(Scope scope, Operand<T> data, Operand<? extends TNumber> segmentIds, Operand<? extends TNumber> numSegments)
Factory method to create a class wrapping a new UnsortedSegmentProd operation.
Output<T>
output()
Has same shape as data, except for the first `segment_ids.rank` dimensions, which are replaced with a single dimension which has size `num_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: "UnsortedSegmentProd"

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 UnsortedSegmentProd<T> create (Scope scope, Operand<T> data, Operand<? extends TNumber> segmentIds, Operand<? extends TNumber> numSegments)

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

Parameters
scope current scope
segmentIds A tensor whose shape is a prefix of `data.shape`.
Returns
  • a new instance of UnsortedSegmentProd

public Output<T> output ()

Has same shape as data, except for the first `segment_ids.rank` dimensions, which are replaced with a single dimension which has size `num_segments`.