`#include <state_ops.h>`

Applies sparse `updates`

to individual values or slices within a given.

variable according to `indices`

.

`ref`

is a `Tensor`

with rank `P`

and `indices`

is a `Tensor`

of rank `Q`

.

`indices`

must be integer tensor, containing indices into `ref`

. 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 slices (if `K < P`

) along the `K`

th dimension of `ref`

.

`updates`

is `Tensor`

of rank `Q-1+P-K`

with shape:

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

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

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

The resulting update to ref would look like this:

[1, 11, 3, 10, 9, 6, 7, 12]

See `tf.scatter_nd`

for more details about how to make updates to slices.

Arguments:

- scope: A Scope object
- ref: A resource handle. Must be from a VarHandleOp.
- indices: A Tensor. Must be one of the following types: int32, int64. A tensor of indices into ref.
- updates: A Tensor. Must have the same type as ref. A tensor of updated values to add to ref.

Optional attributes (see `Attrs`

):

- use_locking: An optional bool. Defaults to True. If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.

Returns:

- the created
`Operation`

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

`ResourceScatterNdUpdate(const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates)` | |

`ResourceScatterNdUpdate(const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates, const ResourceScatterNdUpdate::Attrs & attrs)` |

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

`operation` |

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

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

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

`UseLocking(bool x)` |

Structs | |
---|---|

tensorflow::ops::ResourceScatterNdUpdate::Attrs | Optional attribute setters for ResourceScatterNdUpdate. |

Operation operation

ResourceScatterNdUpdate( const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates )

ResourceScatterNdUpdate( const ::tensorflow::Scope & scope, ::tensorflow::Input ref, ::tensorflow::Input indices, ::tensorflow::Input updates, const ResourceScatterNdUpdate::Attrs & attrs )

operator::tensorflow::Operation() const

Attrs UseLocking( bool x )

© 2020 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/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-scatter-nd-update