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.
See also `tf.scatter_update` and `tf.batch_scatter_update`.
Nested Classes
class | ScatterNdUpdate.Options | Optional attributes for ScatterNdUpdate
|
Public Methods
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T, U extends Number> ScatterNdUpdate<T> | |
Output<T> |
outputRef()
Same as ref.
|
static ScatterNdUpdate.Options |
useLocking(Boolean useLocking)
|
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 ScatterNdUpdate<T> create (Scope scope, Operand<T> ref, Operand<U> indices, Operand<T> updates, Options... options)
Factory method to create a class wrapping a new ScatterNdUpdate operation.
Parameters
scope | current scope |
---|---|
ref | A mutable Tensor. Should be from a Variable node. |
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 ScatterNdUpdate
public Output<T> outputRef ()
Same as ref. Returned as a convenience for operations that want to use the updated values after the update is done.
public static ScatterNdUpdate.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. |
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