ScatterNdNonAliasingAdd

public final class ScatterNdNonAliasingAdd

Applies sparse addition to `input` using individual values or slices

from `updates` according to indices `indices`. The updates are non-aliasing: `input` is only modified in-place if no other operations will use it. Otherwise, a copy of `input` is made. This operation has a gradient with respect to both `input` and `updates`.

`input` is a `Tensor` with rank `P` and `indices` is a `Tensor` of rank `Q`.

`indices` must be integer tensor, containing indices into `input`. It must be shape \$[d_0, ..., d_{Q-2}, K]\$ where `0 < K <= P`.

The innermost dimension of `indices` (with length `K`) corresponds to indices into elements (if `K = P`) or `(P-K)`-dimensional slices (if `K < P`) along the `K`th dimension of `input`.

`updates` is `Tensor` of rank `Q-1+P-K` with shape:

[d_{0}, . . ., d_{Q - 2}, i n p u t . s h a p e [K], . . ., i n p u t . s h a p e [P - 1]] .

$[d_0, ..., d_{Q-2}, input.shape[K], ..., input.shape[P-1]].$

For example, say we want to add 4 scattered elements to a rank-1 tensor to 8 elements. In Python, that addition would look like this:

input = tf.constant([1, 2, 3, 4, 5, 6, 7, 8]) indices = tf.constant([[4], [3], [1], [7]]) updates = tf.constant([9, 10, 11, 12]) output = tf.scatter_nd_non_aliasing_add(input, indices, updates) with tf.Session() as sess: print(sess.run(output))

The resulting value `output` would look like this:

[1, 13, 3, 14, 14, 6, 7, 20]

See tf.scatter_nd for more details about how to make updates to slices.

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> ScatterNdNonAliasingAdd<T>	create(Scope scope, Operand<T> input, Operand<? extends TNumber> indices, Operand<T> updates) Factory method to create a class wrapping a new ScatterNdNonAliasingAdd operation.
Output<T>	output() A `Tensor` with the same shape as `input`, containing values of `input` updated with `updates`.

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: "ScatterNdNonAliasingAdd"

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 ScatterNdNonAliasingAdd<T> create (Scope scope, Operand<T> input, Operand<? extends TNumber> indices, Operand<T> updates)

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

Parameters

scope	current scope
input	A Tensor.
indices	A Tensor. Must be one of the following types: `int32`, `int64`. A tensor of indices into `input`.
updates	A Tensor. Must have the same type as ref. A tensor of updated values to add to `input`.

Returns

a new instance of ScatterNdNonAliasingAdd

public Output<T> output ()

A `Tensor` with the same shape as `input`, containing values of `input` updated with `updates`.