Warning: This API is deprecated and will be removed in a future version of TensorFlow after the replacement is stable.

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:

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

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.

Public Methods

Output <T>
asOutput ()
Returns the symbolic handle of a tensor.
static <T, U extends Number> ScatterNdNonAliasingAdd <T>
create ( Scope scope, Operand <T> input, Operand <U> 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

Public Methods

public Output <T> asOutput ()

Returns the symbolic handle of a 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 <U> 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`.