T
- data type for outputRef()
output@Operator public final class ScatterNdUpdate<T> extends PrimitiveOp implements Operand<T>
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`.
Modifier and Type | Class and Description |
---|---|
static class |
ScatterNdUpdate.Options
Optional attributes for
ScatterNdUpdate |
operation
Modifier and Type | Method and Description |
---|---|
Output<T> |
asOutput()
Returns the symbolic handle of a tensor.
|
static <T,U extends Number> |
create(Scope scope,
Operand<T> ref,
Operand<U> indices,
Operand<T> updates,
ScatterNdUpdate.Options... options)
Factory method to create a class wrapping a new ScatterNdUpdate operation.
|
Output<T> |
outputRef()
Same as ref.
|
static ScatterNdUpdate.Options |
useLocking(Boolean useLocking) |
equals, hashCode, op, toString
public static <T,U extends Number> ScatterNdUpdate<T> create(Scope scope, Operand<T> ref, Operand<U> indices, Operand<T> updates, ScatterNdUpdate.Options... options)
scope
- current scoperef
- 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 valuespublic static ScatterNdUpdate.Options useLocking(Boolean useLocking)
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.public Output<T> outputRef()
public Output<T> asOutput()
Operand
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.
asOutput
in interface Operand<T>
OperationBuilder.addInput(Output)
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