`#include <array_ops.h>`

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.

Arguments:

- scope: A Scope object
- 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:

Constructors and Destructors | |
---|---|

`ScatterNdNonAliasingAdd(const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input indices, ::tensorflow::Input updates)` |

Public attributes | |
---|---|

`output` |

Public functions | |
---|---|

`node() const ` | `::tensorflow::Node *` |

`operator::tensorflow::Input() const ` | |

`operator::tensorflow::Output() const ` |

::tensorflow::Output output

ScatterNdNonAliasingAdd( const ::tensorflow::Scope & scope, ::tensorflow::Input input, ::tensorflow::Input indices, ::tensorflow::Input updates )

::tensorflow::Node * node() const

operator::tensorflow::Input() const

operator::tensorflow::Output() const

© 2017 The TensorFlow Authors. All rights reserved.

Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/scatter-nd-non-aliasing-add.html