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

ResourceScatterNdUpdate

public final class ResourceScatterNdUpdate

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.

Nested Classes

class ResourceScatterNdUpdate.Options Optional attributes for ResourceScatterNdUpdate

Public Methods

static <T extends Number, U> ResourceScatterNdUpdate
create ( Scope scope, Operand <?> ref, Operand <T> indices, Operand <U> updates, Options... options)
Factory method to create a class wrapping a new ResourceScatterNdUpdate operation.
static ResourceScatterNdUpdate.Options
useLocking (Boolean useLocking)

Inherited Methods

Public Methods

public static ResourceScatterNdUpdate create ( Scope scope, Operand <?> ref, Operand <T> indices, Operand <U> updates, Options... options)

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

Parameters
scope current scope
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.
options carries optional attributes values
Returns
  • a new instance of ResourceScatterNdUpdate

public static ResourceScatterNdUpdate.Options useLocking (Boolean useLocking)

Parameters
useLocking 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.