UnsortedSegmentJoin

public final class UnsortedSegmentJoin

Joins the elements of `inputs` based on `segment_ids`.

Computes the string join along segments of a tensor. Given `segment_ids` with rank `N` and `data` with rank `N+M`:

`output[i, k1...kM] = strings.join([data[j1...jN, k1...kM])`

where the join is over all [j1...jN] such that segment_ids[j1...jN] = i. Strings are joined in row-major order.

For example:

inputs = [['Y', 'q', 'c'], ['Y', '6', '6'], ['p', 'G', 'a']]
 output_array = string_ops.unsorted_segment_join(inputs=inputs,
                                                 segment_ids=[1, 0, 1],
                                                 num_segments=2,
                                                 separator=':'))
 # output_array ==> [['Y', '6', '6'], ['Y:p', 'q:G', 'c:a']]
 
 
 inputs = ['this', 'is', 'a', 'test']
 output_array = string_ops.unsorted_segment_join(inputs=inputs,
                                                 segment_ids=[0, 0, 0, 0],
                                                 num_segments=1,
                                                 separator=':'))
 # output_array ==> ['this:is:a:test']

Nested Classes

class UnsortedSegmentJoin.Options Optional attributes for UnsortedSegmentJoin

Constants

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

Public Methods

Output<TString>	asOutput() Returns the symbolic handle of the tensor.
static UnsortedSegmentJoin	create(Scope scope, Operand<TString> inputs, Operand<? extends TNumber> segmentIds, Operand<? extends TNumber> numSegments, Options... options) Factory method to create a class wrapping a new UnsortedSegmentJoin operation.
Output<TString>	output()
static UnsortedSegmentJoin.Options	separator(String separator)

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<TString>	asOutput() Returns the symbolic handle of the tensor.
abstract TString	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<TString>	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: "UnsortedSegmentJoin"

Public Methods

public Output<TString> 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 UnsortedSegmentJoin create (Scope scope, Operand<TString> inputs, Operand<? extends TNumber> segmentIds, Operand<? extends TNumber> numSegments, Options... options)

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

Parameters

scope	current scope
inputs	The input to be joined.
segmentIds	A tensor whose shape is a prefix of data.shape. Negative segment ids are not supported.
numSegments	A scalar.
options	carries optional attributes values

Returns

a new instance of UnsortedSegmentJoin

public Output<TString> output ()

public static UnsortedSegmentJoin.Options separator (String separator)

Parameters

separator	The separator to use when joining.