SparseBincount

public final class SparseBincount

Counts the number of occurrences of each value in an integer array.

Outputs a vector with length `size` and the same dtype as `weights`. If `weights` are empty, then index `i` stores the number of times the value `i` is counted in `arr`. If `weights` are non-empty, then index `i` stores the sum of the value in `weights` at each index where the corresponding value in `arr` is `i`.

Values in `arr` outside of the range [0, size) are ignored.

Nested Classes

class

SparseBincount.Options

Optional attributes for SparseBincount

Constants

String

OP_NAME

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

Public Methods

Output<U>	asOutput() Returns the symbolic handle of the tensor.
static SparseBincount.Options	binaryOutput(Boolean binaryOutput)
static <U extends TNumber, T extends TNumber> SparseBincount<U>	create(Scope scope, Operand<TInt64> indices, Operand<T> values, Operand<TInt64> denseShape, Operand<T> size, Operand<U> weights, Options... options) Factory method to create a class wrapping a new SparseBincount operation.
Output<U>	output() 1D `Tensor` with length equal to `size` or 2D `Tensor` with [batch_size, `size`].

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<U extends TNumber>	asOutput() Returns the symbolic handle of the tensor.
abstract U extends TNumber	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<U extends TNumber>	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: "SparseBincount"

Public Methods

public Output<U> 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 SparseBincount.Options binaryOutput (Boolean binaryOutput)

Parameters

binaryOutput	bool; Whether the kernel should count the appearance or number of occurrences.

public static SparseBincount<U> create (Scope scope, Operand<TInt64> indices, Operand<T> values, Operand<TInt64> denseShape, Operand<T> size, Operand<U> weights, Options... options)

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

Parameters

scope	current scope
indices	2D int64 `Tensor`.
values	1D int `Tensor`.
denseShape	1D int64 `Tensor`.
size	non-negative int scalar `Tensor`.
weights	is an int32, int64, float32, or float64 `Tensor` with the same shape as `input`, or a length-0 `Tensor`, in which case it acts as all weights equal to 1.
options	carries optional attributes values

Returns

• a new instance of SparseBincount

public Output<U> output ()

1D `Tensor` with length equal to `size` or 2D `Tensor` with [batch_size, `size`]. The counts or summed weights for each value in the range [0, size).